Currently client is struggling with the current process where they need to manually manage the excel sheets, reporting process and tools not situated in one application. There is No clear visibility of resource allocation, reporting, budget, collaboration, reporting, project management, task management, time consuming. we came up with the proposed solution to improve productivity by eliminating manual work and bringing all project-related processes into one unified PPM tool which will Include key features such as project and task management, resource allocation, budget tracking, reporting and team collaboration- all within a single platform and the tool will replace manual excel-based processes and disconnected tools currently in use. please create the system architecture diagram for proposed system
0108
FLUX
Currently client is struggling with the current process where they need to manually manage the excel sheets, reporting process and tools not situated in one application. No clear visibility of resource allocation, reporting, budget, collaboration, reporting, project management, task management, time consuming. we came up with the proposed solution to improve productivity by eliminating manual work and bringing all project-related processes into one unified PPM tool which will Include key features such as project and task management, resource allocation, budget tracking, reporting and team collaboration- all within a single platform and the tool will replace manual excel-based processes and disconnected tools currently in use. please create the system architecture diagram for proposed system
063
FLUX
make a 3D image illustrating software integration, with the writing: “architecture”, “components” and “data”, with a high-tech design. Show the software in the form of a HOLOGRAPHIC cube in the center with program codes. Around it, insert computers, screens, servers, server clouds and computer chips.
188
FLUX
make a 3D infographic that illustrates software integration, with the writing: “architecture”, “components” and “data”, with a high-tech design. Show the software in the form of a HOLOGRAPHIC cube in the center with program codes. Around it, insert computers, screens, servers, server clouds and computer chips.
2120
FLUX
make a 3D image illustrating software integration, with the writing: “architecture”, “components” and “data”, with a high-tech design. Show the software in the form of a HOLOGRAPHIC cube in the center with program codes. Around it, insert computers, screens, servers, server clouds and computer chips.
154
FLUX
"A futuristic corporate business automation hub visualization, representing hotel technology connectivity. The central Automation Hub (Light Pink, labeled 'LucidGuest') is the core integration layer, connecting hotel systems on the left side and enabled automation features on the right side through sleek neon circuit pathways in blue, pink, and aqua. 🏨 Left Side (Hotel Systems - Core Interfaces) ✅ Hotel PMS ✅ POS System ✅ Door Locks ✅ ID Scanner Each system is clearly labeled with text annotations, positioned on the left side of the diagram and connected to the Automation Hub through sleek glowing circuit lines. 🔹 Right Side (Automation-Driven Features - Enabled Services) ✅ PMS Package Management ✅ Guest Experience ✅ Membership ✅ Loyalty ✅ Ecommerce Extensions ✅ Business Intelligence Each automation feature is clearly labeled on the right side, visually distinct and connected to the Automation Hub through structured glowing circuit-like connections. The design follows a modern Glass UI aesthetic, with semi-transparent overlays, glowing lines, and a high-tech network visualization. The background is a soft gradient for contrast, with each labeled section distinct, accompanied by minimalistic, futuristic icons. The overall look is ultra-HD, business-professional, and structured for clarity."_
0142
Ideogram
Create a BioRender-style, publication-ready vector infographic titled “研究内容框架图” for a grant proposal. Use clean flat BioRender vectors, thick outlines, minimal shadows, consistent spacing, and a readable sans-serif font (Microsoft YaHei). Use a 16:10 landscape canvas (taller than 16:9). All text inside boxes must be Chinese exactly as specified. Do not include any mathematical letters, symbols, or formulas. Layout The figure has two main sections: Section A (left/center): Research Content Framework (main flowchart) A large framed panel with a top-down or left-to-right flow of four major blocks (Step 1 → Step 2 → Step 3 → Step 4). Each block is a rounded rectangle with a short title plus 2–4 bullet points. Add clear arrows between steps. Add a small triangle badge near Step 3 showing the trade-off. Section B (right side): Three embedded mini-schematics aligned vertically, each framed, with titles: “闭环控制框架（流程图）” “耦合误差示意（维恩图）” “深度递归神经网络示意（时间展开）” Use thin dashed connectors from the main Step 1–3 blocks to the corresponding mini-schematics to show correspondence. Icons (flat, minimal) Multi-agent network graph (nodes + edges), drones and mobile robots, wireless signal, clock/bell for event-triggering, sample-and-hold icon, neural network/RNN icon, Lyapunov/stability icon, and a balance scale icon (performance vs communication vs energy). Keep icons minimal and consistent. Chinese text to place in boxes (exact) Title (top center) “学习辨识—事件触发耦合下非线性多智能体系统分布式一致性控制与收敛性/有界性分析：研究内容框架图” Section A: Main research content framework (4 steps) Step 1 (Block 1) Title: “一致性误差机理刻画” Bullets: “建立统一闭环误差建模框架” “刻画学习误差、触发保持误差与拓扑耦合误差的交叉作用” “解释收敛退化、触发频繁与性能下降的成因” “覆盖无领导一致、领导跟随一致与协同跟踪场景” Step 2 (Block 2) Title: “低保守收敛性与有界性分析” Bullets: “显式利用触发区间信息构造分析工具” “建立收敛性与有界性判据并降低保守性” “推导误差上界、无有限时间无限触发条件与触发间隔下界” “刻画触发间隔与拓扑、触发参数、辨识精度的定量关系” Step 3 (Block 3) Title: “协同设计与权衡机制” Bullets: “协同设计学习辨识器、动态事件触发与分布式控制协议” “保证学习参数与内部递归状态有界” “揭示学习率、触发参数、拓扑特征与一致性性能的定量关系” “建立一致性性能—通信次数—能耗开销的可计算权衡” Add-on icon near Step 3: A small triangular trade-off badge with vertex labels (Chinese): “一致性性能 / 通信次数 / 能耗开销” Caption next to triangle: “可计算权衡” Step 4 (Block 4) Title: “仿真分析与实验验证” Bullets: “搭建含未知非线性、扰动与通信约束的仿真平台” “对比不同触发规则、拓扑与学习精度下的性能与通信开销” “在多无人机与多机器人平台开展验证” “形成可推广的低通信、高可靠、可验证方法” Section B: Three mini-schematics (right side) Mini-panel 1: “闭环控制框架（流程图）” Draw a left-to-right flowchart with rounded blocks and arrows: Blocks (in order, Chinese text exact): “非线性多智能体系统” → “局部/邻域信息获取” → “一致性误差计算” → “学习辨识器（深度递归神经网络）” → “分布式控制器” → “动态事件触发器” → “网络传输与采样保持” → Back arrow to “非线性多智能体系统” Add two dashed feedback arrows from “一致性误差计算” to: “学习辨识器（深度递归神经网络）” (label: “误差驱动更新”) “动态事件触发器” (label: “误差驱动更新”) Add small notes: Under “动态事件触发器”: “按需通信/按需更新” Near “网络传输与采样保持”: “触发保持误差” Add a small timeline icon with ticks labeled in Chinese: “触发时刻…下一次触发时刻” and label “触发间隔”. Mini-panel 2: “耦合误差示意（维恩图）” Draw a three-circle Venn diagram with semi-transparent circles: Circle labels (Chinese): “学习辨识误差” (with RNN icon) “触发保持误差” (with clock + sample-and-hold icon) “拓扑耦合误差” (with network graph icon) Pairwise overlap labels: “学习更新×非均匀更新” “异步通信×拓扑传播” “分布式辨识×邻域耦合” Center overlap (bold): “耦合项集合” Under it: “影响一致性误差演化” Arrow from center to a right-side box titled “结果表征” with bullets: “收敛退化（渐近→最终有界）” “触发频繁/触发间隔变小” “稳态误差界增大/性能下降” Mini-panel 3: “深度递归神经网络示意（时间展开）” Draw a time-unrolled recurrent network schematic along a horizontal timeline labeled in Chinese: “上一时刻 → 当前时刻 → 下一时刻” At each time slice, show stacked recurrent blocks: Input label: “本体状态与邻域信息” → Middle label: “递归记忆状态” → Output label: “未知非线性与不确定项的在线辨识输出” Connect time slices with arrows labeled: “共享参数” Add a side arrow from “一致性误差” into a small box: “参数更新（投影/正则化/学习率调度）” Then arrow into: “学习参数更新” Style constraints BioRender clean scientific infographic, no photorealism, no clutter, high readability. Strict rule: do not include any math symbols, letters, equations, or subscripts. Negative prompt: Avoid photorealistic style, avoid dense paragraphs, avoid handwritten fonts, avoid low resolution, avoid formulas, avoid math letters.
138
Nano Banana
Create a professional, clean, and representational diagram illustrating a software architecture process flow. The image will be used in a technical presentation for a .NET developer audience, so it must look highly polished, modern, and corporate rather than overly cartoonish. The view must be from a side-profile perspective, detailing a sequential step-by-step process flow moving strictly from left to right. The diagram visualizes the "Producer-Consumer" design pattern using an industrial assembly line metaphor. ### Visual Elements & Spatial Layout (Left to Right): 1. **The Entry Point (Far Left):** - An elegant, minimalist digital portal or gateway icon representing a Web API Endpoint. - Text label near it reads: "GET /migration" - An arrow points from this endpoint toward the producer robot. 2. **The Producer (Left Center):** - A modern, sleek industrial robotic arm representing the "BackgroundTaskQueue" service. - The robot is actively packaging incoming request data into neat, uniform digital cargo boxes. - Label this entity: "BackgroundTaskQueue (Producer)" 3. **The Buffer (Center):** - A long, horizontal conveyor belt extending from the robot toward the right side of the frame. - On the conveyor belt, multiple identical boxes are placed at equal, perfectly spaced intervals, moving to the right. - These boxes represent the queued tasks. 4. **The Consumer (Far Right):** - A sophisticated automated workstation or processing unit representing the "MigrationBackgroundService". - This service is actively dequeuing (unpacking) the boxes as they arrive at the end of the belt. - Inside or directly above this station, show a dynamic visual indicator of execution—such as gears, a glowing progress ring, or a subtle vortex graphic—to clearly demonstrate that the unpacked requests are "spinning" (actively executing). - Label this entity: "MigrationBackgroundService (Consumer)" ### Aesthetic & Style Guidelines: - **Style:** Flat vector design or clean 3D isometric rendering suitable for enterprise architecture slide decks. - **Color Palette:** Professional corporate tones (e.g., .NET tech colors like deep purples, blues, cool greys, and crisp white backgrounds). - **Clarity:** Sharp contrasts, clean lines, high legibility, and zero visual clutter. Avoid messy abstract backgrounds.
06
Grok Image
Create a professional A3 landscape academic cybersecurity poster using the uploaded architecture diagram as the main visual reference. Keep the uploaded network architecture diagram in the centre as the primary visual element, but redesign the overall poster to look cleaner, modern, and professional. Poster title: Deploying and Evaluating Wazuh for Network Security Monitoring in ICT Environments Subtitle: Healthcare Cloud Security Monitoring using Microsoft Azure and Wazuh SIEM Design style: professional university capstone poster modern infographic layout cybersecurity / cloud security theme clean academic presentation blue, green, white colour palette high readability minimal text, maximum visuals use professional icons and callout boxes Poster layout requirements: 1. Problem Statement (top left) Short concise text: Healthcare ICT systems face increasing cyber threats including unauthorised access, credential abuse, and patient data tampering. Traditional monitoring solutions often lack centralised real-time visibility and rapid threat detection. Use icons: hospital hacker warning alert cybersecurity shield 2. Methodology (left side vertical flowchart) Create a clean methodology flow with icons: Planning ↓ Local VM Prototype ↓ Client Feedback / Architecture Review ↓ Azure Cloud Migration ↓ Wazuh Deployment ↓ Attack Simulation ↓ Detection Evaluation 3. Network Architecture (centre, largest section) Use the uploaded architecture diagram as the primary visual. Improve clarity and readability while preserving technical structure: Secure Hub VNET Wazuh SIEM VNET Production VNET Non-Production Kali environment Admin access Wazuh Manager Wazuh Indexer Wazuh Dashboard Windows VM Ubuntu VM monitored patient files communication ports Do NOT change technical relationships. 4. Simulated Attack Scenarios (bottom left) Use icons and short labels: Unauthorized SSH Access Windows Authentication Failure Patient File Creation Patient Data Tampering Patient File Deletion Make it visual, not text-heavy. 5. Key Results (bottom centre) Create infographic metric boxes: 3 Active Wazuh Agents 5 Simulated Attack Scenarios Detected MITRE ATT&CK Mapping Enabled ACSC Incident Classification Applied Healthcare-specific Custom Detection Rules 6. Recommendations (bottom right) Use icons + short bullets: Automated incident response Email/SMS alert notifications Azure Sentinel integration Expanded endpoint monitoring Enhanced Windows threat detection Footer: CQUniversity | COIT20265 Capstone Project | UG1 Team Important: Use the uploaded architecture image as the foundation, but make the final poster look polished, presentation-ready, and visually professional.
014
Hero
Create a BioRender-style, publication-ready vector infographic titled “研究内容框架图” for a grant proposal. Use clean flat BioRender vectors, thick outlines, minimal shadows, consistent spacing, and a readable sans-serif font (Microsoft YaHei). Use a 16:10 landscape canvas (taller than 16:9). All text inside boxes must be Chinese exactly as specified. Do not include any mathematical letters, symbols, or formulas. Layout The figure has two main sections: Section A (left/center): Research Content Framework (main flowchart) A large framed panel with a top-down or left-to-right flow of four major blocks (Step 1 → Step 2 → Step 3 → Step 4). Each block is a rounded rectangle with a short title plus 2–4 bullet points. Add clear arrows between steps. Add a small triangle badge near Step 3 showing the trade-off. Section B (right side): Three embedded mini-schematics aligned vertically, each framed, with titles: “闭环控制框架（流程图）” “耦合误差示意（维恩图）” “深度递归神经网络示意（时间展开）” Use thin dashed connectors from the main Step 1–3 blocks to the corresponding mini-schematics to show correspondence. Icons (flat, minimal) Multi-agent network graph (nodes + edges), drones and mobile robots, wireless signal, clock/bell for event-triggering, sample-and-hold icon, neural network/RNN icon, Lyapunov/stability icon, and a balance scale icon (performance vs communication vs energy). Keep icons minimal and consistent. Chinese text to place in boxes (exact) Title (top center) “学习辨识—事件触发耦合下非线性多智能体系统分布式一致性控制与收敛性/有界性分析：研究内容框架图” Section A: Main research content framework (4 steps) Step 1 (Block 1) Title: “一致性误差机理刻画” Bullets: “建立统一闭环误差建模框架” “刻画学习误差、触发保持误差与拓扑耦合误差的交叉作用” “解释收敛退化、触发频繁与性能下降的成因” “覆盖无领导一致、领导跟随一致与协同跟踪场景” Step 2 (Block 2) Title: “低保守收敛性与有界性分析” Bullets: “显式利用触发区间信息构造分析工具” “建立收敛性与有界性判据并降低保守性” “推导误差上界、无有限时间无限触发条件与触发间隔下界” “刻画触发间隔与拓扑、触发参数、辨识精度的定量关系” Step 3 (Block 3) Title: “协同设计与权衡机制” Bullets: “协同设计学习辨识器、动态事件触发与分布式控制协议” “保证学习参数与内部递归状态有界” “揭示学习率、触发参数、拓扑特征与一致性性能的定量关系” “建立一致性性能—通信次数—能耗开销的可计算权衡” Add-on icon near Step 3: A small triangular trade-off badge with vertex labels (Chinese): “一致性性能 / 通信次数 / 能耗开销” Caption next to triangle: “可计算权衡” Step 4 (Block 4) Title: “仿真分析与实验验证” Bullets: “搭建含未知非线性、扰动与通信约束的仿真平台” “对比不同触发规则、拓扑与学习精度下的性能与通信开销” “在多无人机与多机器人平台开展验证” “形成可推广的低通信、高可靠、可验证方法” Section B: Three mini-schematics (right side) Mini-panel 1: “闭环控制框架（流程图）” Draw a left-to-right flowchart with rounded blocks and arrows: Blocks (in order, Chinese text exact): “非线性多智能体系统” → “局部/邻域信息获取” → “一致性误差计算” → “学习辨识器（深度递归神经网络）” → “分布式控制器” → “动态事件触发器” → “网络传输与采样保持” → Back arrow to “非线性多智能体系统” Add two dashed feedback arrows from “一致性误差计算” to: “学习辨识器（深度递归神经网络）” (label: “误差驱动更新”) “动态事件触发器” (label: “误差驱动更新”) Add small notes: Under “动态事件触发器”: “按需通信/按需更新” Near “网络传输与采样保持”: “触发保持误差” Add a small timeline icon with ticks labeled in Chinese: “触发时刻…下一次触发时刻” and label “触发间隔”. Mini-panel 2: “耦合误差示意（维恩图）” Draw a three-circle Venn diagram with semi-transparent circles: Circle labels (Chinese): “学习辨识误差” (with RNN icon) “触发保持误差” (with clock + sample-and-hold icon) “拓扑耦合误差” (with network graph icon) Pairwise overlap labels: “学习更新×非均匀更新” “异步通信×拓扑传播” “分布式辨识×邻域耦合” Center overlap (bold): “耦合项集合” Under it: “影响一致性误差演化” Arrow from center to a right-side box titled “结果表征” with bullets: “收敛退化（渐近→最终有界）” “触发频繁/触发间隔变小” “稳态误差界增大/性能下降” Mini-panel 3: “深度递归神经网络示意（时间展开）” Draw a time-unrolled recurrent network schematic along a horizontal timeline labeled in Chinese: “上一时刻 → 当前时刻 → 下一时刻” At each time slice, show stacked recurrent blocks: Input label: “本体状态与邻域信息” → Middle label: “递归记忆状态” → Output label: “未知非线性与不确定项的在线辨识输出” Connect time slices with arrows labeled: “共享参数” Add a side arrow from “一致性误差” into a small box: “参数更新（投影/正则化/学习率调度）” Then arrow into: “学习参数更新” Style constraints BioRender clean scientific infographic, no photorealism, no clutter, high readability. Strict rule: do not include any math symbols, letters, equations, or subscripts. Negative prompt: Avoid photorealistic style, avoid dense paragraphs, avoid handwritten fonts, avoid low resolution, avoid formulas, avoid math letters.
031
Nano Banana
Currently client is struggling with the current process where they need to manually manage the excel sheets, reporting process and tools not situated in one application. There is No clear visibility of resource allocation, reporting, budget, collaboration, reporting, project management, task management, time consuming. we came up with the proposed solution to improve productivity by eliminating manual work and bringing all project-related processes into one unified PPM tool which will Include key features such as project and task management, resource allocation, budget tracking, reporting and team collaboration- all within a single platform and the tool will replace manual excel-based processes and disconnected tools currently in use. please create the system architecture diagram for proposed system
0108
FLUX
make a 3D image illustrating software integration, with the writing: “architecture”, “components” and “data”, with a high-tech design. Show the software in the form of a HOLOGRAPHIC cube in the center with program codes. Around it, insert computers, screens, servers, server clouds and computer chips.
154
FLUX
Create a professional A3 landscape academic cybersecurity poster using the uploaded architecture diagram as the main visual reference. Keep the uploaded network architecture diagram in the centre as the primary visual element, but redesign the overall poster to look cleaner, modern, and professional. Poster title: Deploying and Evaluating Wazuh for Network Security Monitoring in ICT Environments Subtitle: Healthcare Cloud Security Monitoring using Microsoft Azure and Wazuh SIEM Design style: professional university capstone poster modern infographic layout cybersecurity / cloud security theme clean academic presentation blue, green, white colour palette high readability minimal text, maximum visuals use professional icons and callout boxes Poster layout requirements: 1. Problem Statement (top left) Short concise text: Healthcare ICT systems face increasing cyber threats including unauthorised access, credential abuse, and patient data tampering. Traditional monitoring solutions often lack centralised real-time visibility and rapid threat detection. Use icons: hospital hacker warning alert cybersecurity shield 2. Methodology (left side vertical flowchart) Create a clean methodology flow with icons: Planning ↓ Local VM Prototype ↓ Client Feedback / Architecture Review ↓ Azure Cloud Migration ↓ Wazuh Deployment ↓ Attack Simulation ↓ Detection Evaluation 3. Network Architecture (centre, largest section) Use the uploaded architecture diagram as the primary visual. Improve clarity and readability while preserving technical structure: Secure Hub VNET Wazuh SIEM VNET Production VNET Non-Production Kali environment Admin access Wazuh Manager Wazuh Indexer Wazuh Dashboard Windows VM Ubuntu VM monitored patient files communication ports Do NOT change technical relationships. 4. Simulated Attack Scenarios (bottom left) Use icons and short labels: Unauthorized SSH Access Windows Authentication Failure Patient File Creation Patient Data Tampering Patient File Deletion Make it visual, not text-heavy. 5. Key Results (bottom centre) Create infographic metric boxes: 3 Active Wazuh Agents 5 Simulated Attack Scenarios Detected MITRE ATT&CK Mapping Enabled ACSC Incident Classification Applied Healthcare-specific Custom Detection Rules 6. Recommendations (bottom right) Use icons + short bullets: Automated incident response Email/SMS alert notifications Azure Sentinel integration Expanded endpoint monitoring Enhanced Windows threat detection Footer: CQUniversity | COIT20265 Capstone Project | UG1 Team Important: Use the uploaded architecture image as the foundation, but make the final poster look polished, presentation-ready, and visually professional.
014
Hero
Currently client is struggling with the current process where they need to manually manage the excel sheets, reporting process and tools not situated in one application. No clear visibility of resource allocation, reporting, budget, collaboration, reporting, project management, task management, time consuming. we came up with the proposed solution to improve productivity by eliminating manual work and bringing all project-related processes into one unified PPM tool which will Include key features such as project and task management, resource allocation, budget tracking, reporting and team collaboration- all within a single platform and the tool will replace manual excel-based processes and disconnected tools currently in use. please create the system architecture diagram for proposed system
063
FLUX
make a 3D image illustrating software integration, with the writing: “architecture”, “components” and “data”, with a high-tech design. Show the software in the form of a HOLOGRAPHIC cube in the center with program codes. Around it, insert computers, screens, servers, server clouds and computer chips.
188
FLUX
make a 3D infographic that illustrates software integration, with the writing: “architecture”, “components” and “data”, with a high-tech design. Show the software in the form of a HOLOGRAPHIC cube in the center with program codes. Around it, insert computers, screens, servers, server clouds and computer chips.
2120
FLUX
"A futuristic corporate business automation hub visualization, representing hotel technology connectivity. The central Automation Hub (Light Pink, labeled 'LucidGuest') is the core integration layer, connecting hotel systems on the left side and enabled automation features on the right side through sleek neon circuit pathways in blue, pink, and aqua. 🏨 Left Side (Hotel Systems - Core Interfaces) ✅ Hotel PMS ✅ POS System ✅ Door Locks ✅ ID Scanner Each system is clearly labeled with text annotations, positioned on the left side of the diagram and connected to the Automation Hub through sleek glowing circuit lines. 🔹 Right Side (Automation-Driven Features - Enabled Services) ✅ PMS Package Management ✅ Guest Experience ✅ Membership ✅ Loyalty ✅ Ecommerce Extensions ✅ Business Intelligence Each automation feature is clearly labeled on the right side, visually distinct and connected to the Automation Hub through structured glowing circuit-like connections. The design follows a modern Glass UI aesthetic, with semi-transparent overlays, glowing lines, and a high-tech network visualization. The background is a soft gradient for contrast, with each labeled section distinct, accompanied by minimalistic, futuristic icons. The overall look is ultra-HD, business-professional, and structured for clarity."_
0142
Ideogram
Create a BioRender-style, publication-ready vector infographic titled “研究内容框架图” for a grant proposal. Use clean flat BioRender vectors, thick outlines, minimal shadows, consistent spacing, and a readable sans-serif font (Microsoft YaHei). Use a 16:10 landscape canvas (taller than 16:9). All text inside boxes must be Chinese exactly as specified. Do not include any mathematical letters, symbols, or formulas. Layout The figure has two main sections: Section A (left/center): Research Content Framework (main flowchart) A large framed panel with a top-down or left-to-right flow of four major blocks (Step 1 → Step 2 → Step 3 → Step 4). Each block is a rounded rectangle with a short title plus 2–4 bullet points. Add clear arrows between steps. Add a small triangle badge near Step 3 showing the trade-off. Section B (right side): Three embedded mini-schematics aligned vertically, each framed, with titles: “闭环控制框架（流程图）” “耦合误差示意（维恩图）” “深度递归神经网络示意（时间展开）” Use thin dashed connectors from the main Step 1–3 blocks to the corresponding mini-schematics to show correspondence. Icons (flat, minimal) Multi-agent network graph (nodes + edges), drones and mobile robots, wireless signal, clock/bell for event-triggering, sample-and-hold icon, neural network/RNN icon, Lyapunov/stability icon, and a balance scale icon (performance vs communication vs energy). Keep icons minimal and consistent. Chinese text to place in boxes (exact) Title (top center) “学习辨识—事件触发耦合下非线性多智能体系统分布式一致性控制与收敛性/有界性分析：研究内容框架图” Section A: Main research content framework (4 steps) Step 1 (Block 1) Title: “一致性误差机理刻画” Bullets: “建立统一闭环误差建模框架” “刻画学习误差、触发保持误差与拓扑耦合误差的交叉作用” “解释收敛退化、触发频繁与性能下降的成因” “覆盖无领导一致、领导跟随一致与协同跟踪场景” Step 2 (Block 2) Title: “低保守收敛性与有界性分析” Bullets: “显式利用触发区间信息构造分析工具” “建立收敛性与有界性判据并降低保守性” “推导误差上界、无有限时间无限触发条件与触发间隔下界” “刻画触发间隔与拓扑、触发参数、辨识精度的定量关系” Step 3 (Block 3) Title: “协同设计与权衡机制” Bullets: “协同设计学习辨识器、动态事件触发与分布式控制协议” “保证学习参数与内部递归状态有界” “揭示学习率、触发参数、拓扑特征与一致性性能的定量关系” “建立一致性性能—通信次数—能耗开销的可计算权衡” Add-on icon near Step 3: A small triangular trade-off badge with vertex labels (Chinese): “一致性性能 / 通信次数 / 能耗开销” Caption next to triangle: “可计算权衡” Step 4 (Block 4) Title: “仿真分析与实验验证” Bullets: “搭建含未知非线性、扰动与通信约束的仿真平台” “对比不同触发规则、拓扑与学习精度下的性能与通信开销” “在多无人机与多机器人平台开展验证” “形成可推广的低通信、高可靠、可验证方法” Section B: Three mini-schematics (right side) Mini-panel 1: “闭环控制框架（流程图）” Draw a left-to-right flowchart with rounded blocks and arrows: Blocks (in order, Chinese text exact): “非线性多智能体系统” → “局部/邻域信息获取” → “一致性误差计算” → “学习辨识器（深度递归神经网络）” → “分布式控制器” → “动态事件触发器” → “网络传输与采样保持” → Back arrow to “非线性多智能体系统” Add two dashed feedback arrows from “一致性误差计算” to: “学习辨识器（深度递归神经网络）” (label: “误差驱动更新”) “动态事件触发器” (label: “误差驱动更新”) Add small notes: Under “动态事件触发器”: “按需通信/按需更新” Near “网络传输与采样保持”: “触发保持误差” Add a small timeline icon with ticks labeled in Chinese: “触发时刻…下一次触发时刻” and label “触发间隔”. Mini-panel 2: “耦合误差示意（维恩图）” Draw a three-circle Venn diagram with semi-transparent circles: Circle labels (Chinese): “学习辨识误差” (with RNN icon) “触发保持误差” (with clock + sample-and-hold icon) “拓扑耦合误差” (with network graph icon) Pairwise overlap labels: “学习更新×非均匀更新” “异步通信×拓扑传播” “分布式辨识×邻域耦合” Center overlap (bold): “耦合项集合” Under it: “影响一致性误差演化” Arrow from center to a right-side box titled “结果表征” with bullets: “收敛退化（渐近→最终有界）” “触发频繁/触发间隔变小” “稳态误差界增大/性能下降” Mini-panel 3: “深度递归神经网络示意（时间展开）” Draw a time-unrolled recurrent network schematic along a horizontal timeline labeled in Chinese: “上一时刻 → 当前时刻 → 下一时刻” At each time slice, show stacked recurrent blocks: Input label: “本体状态与邻域信息” → Middle label: “递归记忆状态” → Output label: “未知非线性与不确定项的在线辨识输出” Connect time slices with arrows labeled: “共享参数” Add a side arrow from “一致性误差” into a small box: “参数更新（投影/正则化/学习率调度）” Then arrow into: “学习参数更新” Style constraints BioRender clean scientific infographic, no photorealism, no clutter, high readability. Strict rule: do not include any math symbols, letters, equations, or subscripts. Negative prompt: Avoid photorealistic style, avoid dense paragraphs, avoid handwritten fonts, avoid low resolution, avoid formulas, avoid math letters.
138
Nano Banana
Create a professional, clean, and representational diagram illustrating a software architecture process flow. The image will be used in a technical presentation for a .NET developer audience, so it must look highly polished, modern, and corporate rather than overly cartoonish. The view must be from a side-profile perspective, detailing a sequential step-by-step process flow moving strictly from left to right. The diagram visualizes the "Producer-Consumer" design pattern using an industrial assembly line metaphor. ### Visual Elements & Spatial Layout (Left to Right): 1. **The Entry Point (Far Left):** - An elegant, minimalist digital portal or gateway icon representing a Web API Endpoint. - Text label near it reads: "GET /migration" - An arrow points from this endpoint toward the producer robot. 2. **The Producer (Left Center):** - A modern, sleek industrial robotic arm representing the "BackgroundTaskQueue" service. - The robot is actively packaging incoming request data into neat, uniform digital cargo boxes. - Label this entity: "BackgroundTaskQueue (Producer)" 3. **The Buffer (Center):** - A long, horizontal conveyor belt extending from the robot toward the right side of the frame. - On the conveyor belt, multiple identical boxes are placed at equal, perfectly spaced intervals, moving to the right. - These boxes represent the queued tasks. 4. **The Consumer (Far Right):** - A sophisticated automated workstation or processing unit representing the "MigrationBackgroundService". - This service is actively dequeuing (unpacking) the boxes as they arrive at the end of the belt. - Inside or directly above this station, show a dynamic visual indicator of execution—such as gears, a glowing progress ring, or a subtle vortex graphic—to clearly demonstrate that the unpacked requests are "spinning" (actively executing). - Label this entity: "MigrationBackgroundService (Consumer)" ### Aesthetic & Style Guidelines: - **Style:** Flat vector design or clean 3D isometric rendering suitable for enterprise architecture slide decks. - **Color Palette:** Professional corporate tones (e.g., .NET tech colors like deep purples, blues, cool greys, and crisp white backgrounds). - **Clarity:** Sharp contrasts, clean lines, high legibility, and zero visual clutter. Avoid messy abstract backgrounds.
06
Grok Image
Create a BioRender-style, publication-ready vector infographic titled “研究内容框架图” for a grant proposal. Use clean flat BioRender vectors, thick outlines, minimal shadows, consistent spacing, and a readable sans-serif font (Microsoft YaHei). Use a 16:10 landscape canvas (taller than 16:9). All text inside boxes must be Chinese exactly as specified. Do not include any mathematical letters, symbols, or formulas. Layout The figure has two main sections: Section A (left/center): Research Content Framework (main flowchart) A large framed panel with a top-down or left-to-right flow of four major blocks (Step 1 → Step 2 → Step 3 → Step 4). Each block is a rounded rectangle with a short title plus 2–4 bullet points. Add clear arrows between steps. Add a small triangle badge near Step 3 showing the trade-off. Section B (right side): Three embedded mini-schematics aligned vertically, each framed, with titles: “闭环控制框架（流程图）” “耦合误差示意（维恩图）” “深度递归神经网络示意（时间展开）” Use thin dashed connectors from the main Step 1–3 blocks to the corresponding mini-schematics to show correspondence. Icons (flat, minimal) Multi-agent network graph (nodes + edges), drones and mobile robots, wireless signal, clock/bell for event-triggering, sample-and-hold icon, neural network/RNN icon, Lyapunov/stability icon, and a balance scale icon (performance vs communication vs energy). Keep icons minimal and consistent. Chinese text to place in boxes (exact) Title (top center) “学习辨识—事件触发耦合下非线性多智能体系统分布式一致性控制与收敛性/有界性分析：研究内容框架图” Section A: Main research content framework (4 steps) Step 1 (Block 1) Title: “一致性误差机理刻画” Bullets: “建立统一闭环误差建模框架” “刻画学习误差、触发保持误差与拓扑耦合误差的交叉作用” “解释收敛退化、触发频繁与性能下降的成因” “覆盖无领导一致、领导跟随一致与协同跟踪场景” Step 2 (Block 2) Title: “低保守收敛性与有界性分析” Bullets: “显式利用触发区间信息构造分析工具” “建立收敛性与有界性判据并降低保守性” “推导误差上界、无有限时间无限触发条件与触发间隔下界” “刻画触发间隔与拓扑、触发参数、辨识精度的定量关系” Step 3 (Block 3) Title: “协同设计与权衡机制” Bullets: “协同设计学习辨识器、动态事件触发与分布式控制协议” “保证学习参数与内部递归状态有界” “揭示学习率、触发参数、拓扑特征与一致性性能的定量关系” “建立一致性性能—通信次数—能耗开销的可计算权衡” Add-on icon near Step 3: A small triangular trade-off badge with vertex labels (Chinese): “一致性性能 / 通信次数 / 能耗开销” Caption next to triangle: “可计算权衡” Step 4 (Block 4) Title: “仿真分析与实验验证” Bullets: “搭建含未知非线性、扰动与通信约束的仿真平台” “对比不同触发规则、拓扑与学习精度下的性能与通信开销” “在多无人机与多机器人平台开展验证” “形成可推广的低通信、高可靠、可验证方法” Section B: Three mini-schematics (right side) Mini-panel 1: “闭环控制框架（流程图）” Draw a left-to-right flowchart with rounded blocks and arrows: Blocks (in order, Chinese text exact): “非线性多智能体系统” → “局部/邻域信息获取” → “一致性误差计算” → “学习辨识器（深度递归神经网络）” → “分布式控制器” → “动态事件触发器” → “网络传输与采样保持” → Back arrow to “非线性多智能体系统” Add two dashed feedback arrows from “一致性误差计算” to: “学习辨识器（深度递归神经网络）” (label: “误差驱动更新”) “动态事件触发器” (label: “误差驱动更新”) Add small notes: Under “动态事件触发器”: “按需通信/按需更新” Near “网络传输与采样保持”: “触发保持误差” Add a small timeline icon with ticks labeled in Chinese: “触发时刻…下一次触发时刻” and label “触发间隔”. Mini-panel 2: “耦合误差示意（维恩图）” Draw a three-circle Venn diagram with semi-transparent circles: Circle labels (Chinese): “学习辨识误差” (with RNN icon) “触发保持误差” (with clock + sample-and-hold icon) “拓扑耦合误差” (with network graph icon) Pairwise overlap labels: “学习更新×非均匀更新” “异步通信×拓扑传播” “分布式辨识×邻域耦合” Center overlap (bold): “耦合项集合” Under it: “影响一致性误差演化” Arrow from center to a right-side box titled “结果表征” with bullets: “收敛退化（渐近→最终有界）” “触发频繁/触发间隔变小” “稳态误差界增大/性能下降” Mini-panel 3: “深度递归神经网络示意（时间展开）” Draw a time-unrolled recurrent network schematic along a horizontal timeline labeled in Chinese: “上一时刻 → 当前时刻 → 下一时刻” At each time slice, show stacked recurrent blocks: Input label: “本体状态与邻域信息” → Middle label: “递归记忆状态” → Output label: “未知非线性与不确定项的在线辨识输出” Connect time slices with arrows labeled: “共享参数” Add a side arrow from “一致性误差” into a small box: “参数更新（投影/正则化/学习率调度）” Then arrow into: “学习参数更新” Style constraints BioRender clean scientific infographic, no photorealism, no clutter, high readability. Strict rule: do not include any math symbols, letters, equations, or subscripts. Negative prompt: Avoid photorealistic style, avoid dense paragraphs, avoid handwritten fonts, avoid low resolution, avoid formulas, avoid math letters.
031
Nano Banana
Currently client is struggling with the current process where they need to manually manage the excel sheets, reporting process and tools not situated in one application. There is No clear visibility of resource allocation, reporting, budget, collaboration, reporting, project management, task management, time consuming. we came up with the proposed solution to improve productivity by eliminating manual work and bringing all project-related processes into one unified PPM tool which will Include key features such as project and task management, resource allocation, budget tracking, reporting and team collaboration- all within a single platform and the tool will replace manual excel-based processes and disconnected tools currently in use. please create the system architecture diagram for proposed system
0108
FLUX
make a 3D image illustrating software integration, with the writing: “architecture”, “components” and “data”, with a high-tech design. Show the software in the form of a HOLOGRAPHIC cube in the center with program codes. Around it, insert computers, screens, servers, server clouds and computer chips.
154
FLUX
Create a professional A3 landscape academic cybersecurity poster using the uploaded architecture diagram as the main visual reference. Keep the uploaded network architecture diagram in the centre as the primary visual element, but redesign the overall poster to look cleaner, modern, and professional. Poster title: Deploying and Evaluating Wazuh for Network Security Monitoring in ICT Environments Subtitle: Healthcare Cloud Security Monitoring using Microsoft Azure and Wazuh SIEM Design style: professional university capstone poster modern infographic layout cybersecurity / cloud security theme clean academic presentation blue, green, white colour palette high readability minimal text, maximum visuals use professional icons and callout boxes Poster layout requirements: 1. Problem Statement (top left) Short concise text: Healthcare ICT systems face increasing cyber threats including unauthorised access, credential abuse, and patient data tampering. Traditional monitoring solutions often lack centralised real-time visibility and rapid threat detection. Use icons: hospital hacker warning alert cybersecurity shield 2. Methodology (left side vertical flowchart) Create a clean methodology flow with icons: Planning ↓ Local VM Prototype ↓ Client Feedback / Architecture Review ↓ Azure Cloud Migration ↓ Wazuh Deployment ↓ Attack Simulation ↓ Detection Evaluation 3. Network Architecture (centre, largest section) Use the uploaded architecture diagram as the primary visual. Improve clarity and readability while preserving technical structure: Secure Hub VNET Wazuh SIEM VNET Production VNET Non-Production Kali environment Admin access Wazuh Manager Wazuh Indexer Wazuh Dashboard Windows VM Ubuntu VM monitored patient files communication ports Do NOT change technical relationships. 4. Simulated Attack Scenarios (bottom left) Use icons and short labels: Unauthorized SSH Access Windows Authentication Failure Patient File Creation Patient Data Tampering Patient File Deletion Make it visual, not text-heavy. 5. Key Results (bottom centre) Create infographic metric boxes: 3 Active Wazuh Agents 5 Simulated Attack Scenarios Detected MITRE ATT&CK Mapping Enabled ACSC Incident Classification Applied Healthcare-specific Custom Detection Rules 6. Recommendations (bottom right) Use icons + short bullets: Automated incident response Email/SMS alert notifications Azure Sentinel integration Expanded endpoint monitoring Enhanced Windows threat detection Footer: CQUniversity | COIT20265 Capstone Project | UG1 Team Important: Use the uploaded architecture image as the foundation, but make the final poster look polished, presentation-ready, and visually professional.
014
Hero
Currently client is struggling with the current process where they need to manually manage the excel sheets, reporting process and tools not situated in one application. No clear visibility of resource allocation, reporting, budget, collaboration, reporting, project management, task management, time consuming. we came up with the proposed solution to improve productivity by eliminating manual work and bringing all project-related processes into one unified PPM tool which will Include key features such as project and task management, resource allocation, budget tracking, reporting and team collaboration- all within a single platform and the tool will replace manual excel-based processes and disconnected tools currently in use. please create the system architecture diagram for proposed system
063
FLUX
"A futuristic corporate business automation hub visualization, representing hotel technology connectivity. The central Automation Hub (Light Pink, labeled 'LucidGuest') is the core integration layer, connecting hotel systems on the left side and enabled automation features on the right side through sleek neon circuit pathways in blue, pink, and aqua. 🏨 Left Side (Hotel Systems - Core Interfaces) ✅ Hotel PMS ✅ POS System ✅ Door Locks ✅ ID Scanner Each system is clearly labeled with text annotations, positioned on the left side of the diagram and connected to the Automation Hub through sleek glowing circuit lines. 🔹 Right Side (Automation-Driven Features - Enabled Services) ✅ PMS Package Management ✅ Guest Experience ✅ Membership ✅ Loyalty ✅ Ecommerce Extensions ✅ Business Intelligence Each automation feature is clearly labeled on the right side, visually distinct and connected to the Automation Hub through structured glowing circuit-like connections. The design follows a modern Glass UI aesthetic, with semi-transparent overlays, glowing lines, and a high-tech network visualization. The background is a soft gradient for contrast, with each labeled section distinct, accompanied by minimalistic, futuristic icons. The overall look is ultra-HD, business-professional, and structured for clarity."_
0142
Ideogram
Create a BioRender-style, publication-ready vector infographic titled “研究内容框架图” for a grant proposal. Use clean flat BioRender vectors, thick outlines, minimal shadows, consistent spacing, and a readable sans-serif font (Microsoft YaHei). Use a 16:10 landscape canvas (taller than 16:9). All text inside boxes must be Chinese exactly as specified. Do not include any mathematical letters, symbols, or formulas. Layout The figure has two main sections: Section A (left/center): Research Content Framework (main flowchart) A large framed panel with a top-down or left-to-right flow of four major blocks (Step 1 → Step 2 → Step 3 → Step 4). Each block is a rounded rectangle with a short title plus 2–4 bullet points. Add clear arrows between steps. Add a small triangle badge near Step 3 showing the trade-off. Section B (right side): Three embedded mini-schematics aligned vertically, each framed, with titles: “闭环控制框架（流程图）” “耦合误差示意（维恩图）” “深度递归神经网络示意（时间展开）” Use thin dashed connectors from the main Step 1–3 blocks to the corresponding mini-schematics to show correspondence. Icons (flat, minimal) Multi-agent network graph (nodes + edges), drones and mobile robots, wireless signal, clock/bell for event-triggering, sample-and-hold icon, neural network/RNN icon, Lyapunov/stability icon, and a balance scale icon (performance vs communication vs energy). Keep icons minimal and consistent. Chinese text to place in boxes (exact) Title (top center) “学习辨识—事件触发耦合下非线性多智能体系统分布式一致性控制与收敛性/有界性分析：研究内容框架图” Section A: Main research content framework (4 steps) Step 1 (Block 1) Title: “一致性误差机理刻画” Bullets: “建立统一闭环误差建模框架” “刻画学习误差、触发保持误差与拓扑耦合误差的交叉作用” “解释收敛退化、触发频繁与性能下降的成因” “覆盖无领导一致、领导跟随一致与协同跟踪场景” Step 2 (Block 2) Title: “低保守收敛性与有界性分析” Bullets: “显式利用触发区间信息构造分析工具” “建立收敛性与有界性判据并降低保守性” “推导误差上界、无有限时间无限触发条件与触发间隔下界” “刻画触发间隔与拓扑、触发参数、辨识精度的定量关系” Step 3 (Block 3) Title: “协同设计与权衡机制” Bullets: “协同设计学习辨识器、动态事件触发与分布式控制协议” “保证学习参数与内部递归状态有界” “揭示学习率、触发参数、拓扑特征与一致性性能的定量关系” “建立一致性性能—通信次数—能耗开销的可计算权衡” Add-on icon near Step 3: A small triangular trade-off badge with vertex labels (Chinese): “一致性性能 / 通信次数 / 能耗开销” Caption next to triangle: “可计算权衡” Step 4 (Block 4) Title: “仿真分析与实验验证” Bullets: “搭建含未知非线性、扰动与通信约束的仿真平台” “对比不同触发规则、拓扑与学习精度下的性能与通信开销” “在多无人机与多机器人平台开展验证” “形成可推广的低通信、高可靠、可验证方法” Section B: Three mini-schematics (right side) Mini-panel 1: “闭环控制框架（流程图）” Draw a left-to-right flowchart with rounded blocks and arrows: Blocks (in order, Chinese text exact): “非线性多智能体系统” → “局部/邻域信息获取” → “一致性误差计算” → “学习辨识器（深度递归神经网络）” → “分布式控制器” → “动态事件触发器” → “网络传输与采样保持” → Back arrow to “非线性多智能体系统” Add two dashed feedback arrows from “一致性误差计算” to: “学习辨识器（深度递归神经网络）” (label: “误差驱动更新”) “动态事件触发器” (label: “误差驱动更新”) Add small notes: Under “动态事件触发器”: “按需通信/按需更新” Near “网络传输与采样保持”: “触发保持误差” Add a small timeline icon with ticks labeled in Chinese: “触发时刻…下一次触发时刻” and label “触发间隔”. Mini-panel 2: “耦合误差示意（维恩图）” Draw a three-circle Venn diagram with semi-transparent circles: Circle labels (Chinese): “学习辨识误差” (with RNN icon) “触发保持误差” (with clock + sample-and-hold icon) “拓扑耦合误差” (with network graph icon) Pairwise overlap labels: “学习更新×非均匀更新” “异步通信×拓扑传播” “分布式辨识×邻域耦合” Center overlap (bold): “耦合项集合” Under it: “影响一致性误差演化” Arrow from center to a right-side box titled “结果表征” with bullets: “收敛退化（渐近→最终有界）” “触发频繁/触发间隔变小” “稳态误差界增大/性能下降” Mini-panel 3: “深度递归神经网络示意（时间展开）” Draw a time-unrolled recurrent network schematic along a horizontal timeline labeled in Chinese: “上一时刻 → 当前时刻 → 下一时刻” At each time slice, show stacked recurrent blocks: Input label: “本体状态与邻域信息” → Middle label: “递归记忆状态” → Output label: “未知非线性与不确定项的在线辨识输出” Connect time slices with arrows labeled: “共享参数” Add a side arrow from “一致性误差” into a small box: “参数更新（投影/正则化/学习率调度）” Then arrow into: “学习参数更新” Style constraints BioRender clean scientific infographic, no photorealism, no clutter, high readability. Strict rule: do not include any math symbols, letters, equations, or subscripts. Negative prompt: Avoid photorealistic style, avoid dense paragraphs, avoid handwritten fonts, avoid low resolution, avoid formulas, avoid math letters.
031
Nano Banana
make a 3D image illustrating software integration, with the writing: “architecture”, “components” and “data”, with a high-tech design. Show the software in the form of a HOLOGRAPHIC cube in the center with program codes. Around it, insert computers, screens, servers, server clouds and computer chips.
188
FLUX
make a 3D infographic that illustrates software integration, with the writing: “architecture”, “components” and “data”, with a high-tech design. Show the software in the form of a HOLOGRAPHIC cube in the center with program codes. Around it, insert computers, screens, servers, server clouds and computer chips.
2120
FLUX
Create a BioRender-style, publication-ready vector infographic titled “研究内容框架图” for a grant proposal. Use clean flat BioRender vectors, thick outlines, minimal shadows, consistent spacing, and a readable sans-serif font (Microsoft YaHei). Use a 16:10 landscape canvas (taller than 16:9). All text inside boxes must be Chinese exactly as specified. Do not include any mathematical letters, symbols, or formulas. Layout The figure has two main sections: Section A (left/center): Research Content Framework (main flowchart) A large framed panel with a top-down or left-to-right flow of four major blocks (Step 1 → Step 2 → Step 3 → Step 4). Each block is a rounded rectangle with a short title plus 2–4 bullet points. Add clear arrows between steps. Add a small triangle badge near Step 3 showing the trade-off. Section B (right side): Three embedded mini-schematics aligned vertically, each framed, with titles: “闭环控制框架（流程图）” “耦合误差示意（维恩图）” “深度递归神经网络示意（时间展开）” Use thin dashed connectors from the main Step 1–3 blocks to the corresponding mini-schematics to show correspondence. Icons (flat, minimal) Multi-agent network graph (nodes + edges), drones and mobile robots, wireless signal, clock/bell for event-triggering, sample-and-hold icon, neural network/RNN icon, Lyapunov/stability icon, and a balance scale icon (performance vs communication vs energy). Keep icons minimal and consistent. Chinese text to place in boxes (exact) Title (top center) “学习辨识—事件触发耦合下非线性多智能体系统分布式一致性控制与收敛性/有界性分析：研究内容框架图” Section A: Main research content framework (4 steps) Step 1 (Block 1) Title: “一致性误差机理刻画” Bullets: “建立统一闭环误差建模框架” “刻画学习误差、触发保持误差与拓扑耦合误差的交叉作用” “解释收敛退化、触发频繁与性能下降的成因” “覆盖无领导一致、领导跟随一致与协同跟踪场景” Step 2 (Block 2) Title: “低保守收敛性与有界性分析” Bullets: “显式利用触发区间信息构造分析工具” “建立收敛性与有界性判据并降低保守性” “推导误差上界、无有限时间无限触发条件与触发间隔下界” “刻画触发间隔与拓扑、触发参数、辨识精度的定量关系” Step 3 (Block 3) Title: “协同设计与权衡机制” Bullets: “协同设计学习辨识器、动态事件触发与分布式控制协议” “保证学习参数与内部递归状态有界” “揭示学习率、触发参数、拓扑特征与一致性性能的定量关系” “建立一致性性能—通信次数—能耗开销的可计算权衡” Add-on icon near Step 3: A small triangular trade-off badge with vertex labels (Chinese): “一致性性能 / 通信次数 / 能耗开销” Caption next to triangle: “可计算权衡” Step 4 (Block 4) Title: “仿真分析与实验验证” Bullets: “搭建含未知非线性、扰动与通信约束的仿真平台” “对比不同触发规则、拓扑与学习精度下的性能与通信开销” “在多无人机与多机器人平台开展验证” “形成可推广的低通信、高可靠、可验证方法” Section B: Three mini-schematics (right side) Mini-panel 1: “闭环控制框架（流程图）” Draw a left-to-right flowchart with rounded blocks and arrows: Blocks (in order, Chinese text exact): “非线性多智能体系统” → “局部/邻域信息获取” → “一致性误差计算” → “学习辨识器（深度递归神经网络）” → “分布式控制器” → “动态事件触发器” → “网络传输与采样保持” → Back arrow to “非线性多智能体系统” Add two dashed feedback arrows from “一致性误差计算” to: “学习辨识器（深度递归神经网络）” (label: “误差驱动更新”) “动态事件触发器” (label: “误差驱动更新”) Add small notes: Under “动态事件触发器”: “按需通信/按需更新” Near “网络传输与采样保持”: “触发保持误差” Add a small timeline icon with ticks labeled in Chinese: “触发时刻…下一次触发时刻” and label “触发间隔”. Mini-panel 2: “耦合误差示意（维恩图）” Draw a three-circle Venn diagram with semi-transparent circles: Circle labels (Chinese): “学习辨识误差” (with RNN icon) “触发保持误差” (with clock + sample-and-hold icon) “拓扑耦合误差” (with network graph icon) Pairwise overlap labels: “学习更新×非均匀更新” “异步通信×拓扑传播” “分布式辨识×邻域耦合” Center overlap (bold): “耦合项集合” Under it: “影响一致性误差演化” Arrow from center to a right-side box titled “结果表征” with bullets: “收敛退化（渐近→最终有界）” “触发频繁/触发间隔变小” “稳态误差界增大/性能下降” Mini-panel 3: “深度递归神经网络示意（时间展开）” Draw a time-unrolled recurrent network schematic along a horizontal timeline labeled in Chinese: “上一时刻 → 当前时刻 → 下一时刻” At each time slice, show stacked recurrent blocks: Input label: “本体状态与邻域信息” → Middle label: “递归记忆状态” → Output label: “未知非线性与不确定项的在线辨识输出” Connect time slices with arrows labeled: “共享参数” Add a side arrow from “一致性误差” into a small box: “参数更新（投影/正则化/学习率调度）” Then arrow into: “学习参数更新” Style constraints BioRender clean scientific infographic, no photorealism, no clutter, high readability. Strict rule: do not include any math symbols, letters, equations, or subscripts. Negative prompt: Avoid photorealistic style, avoid dense paragraphs, avoid handwritten fonts, avoid low resolution, avoid formulas, avoid math letters.
138
Nano Banana
Create a professional, clean, and representational diagram illustrating a software architecture process flow. The image will be used in a technical presentation for a .NET developer audience, so it must look highly polished, modern, and corporate rather than overly cartoonish. The view must be from a side-profile perspective, detailing a sequential step-by-step process flow moving strictly from left to right. The diagram visualizes the "Producer-Consumer" design pattern using an industrial assembly line metaphor. ### Visual Elements & Spatial Layout (Left to Right): 1. **The Entry Point (Far Left):** - An elegant, minimalist digital portal or gateway icon representing a Web API Endpoint. - Text label near it reads: "GET /migration" - An arrow points from this endpoint toward the producer robot. 2. **The Producer (Left Center):** - A modern, sleek industrial robotic arm representing the "BackgroundTaskQueue" service. - The robot is actively packaging incoming request data into neat, uniform digital cargo boxes. - Label this entity: "BackgroundTaskQueue (Producer)" 3. **The Buffer (Center):** - A long, horizontal conveyor belt extending from the robot toward the right side of the frame. - On the conveyor belt, multiple identical boxes are placed at equal, perfectly spaced intervals, moving to the right. - These boxes represent the queued tasks. 4. **The Consumer (Far Right):** - A sophisticated automated workstation or processing unit representing the "MigrationBackgroundService". - This service is actively dequeuing (unpacking) the boxes as they arrive at the end of the belt. - Inside or directly above this station, show a dynamic visual indicator of execution—such as gears, a glowing progress ring, or a subtle vortex graphic—to clearly demonstrate that the unpacked requests are "spinning" (actively executing). - Label this entity: "MigrationBackgroundService (Consumer)" ### Aesthetic & Style Guidelines: - **Style:** Flat vector design or clean 3D isometric rendering suitable for enterprise architecture slide decks. - **Color Palette:** Professional corporate tones (e.g., .NET tech colors like deep purples, blues, cool greys, and crisp white backgrounds). - **Clarity:** Sharp contrasts, clean lines, high legibility, and zero visual clutter. Avoid messy abstract backgrounds.
06
Grok Image
Currently client is struggling with the current process where they need to manually manage the excel sheets, reporting process and tools not situated in one application. There is No clear visibility of resource allocation, reporting, budget, collaboration, reporting, project management, task management, time consuming. we came up with the proposed solution to improve productivity by eliminating manual work and bringing all project-related processes into one unified PPM tool which will Include key features such as project and task management, resource allocation, budget tracking, reporting and team collaboration- all within a single platform and the tool will replace manual excel-based processes and disconnected tools currently in use. please create the system architecture diagram for proposed system
0108
FLUX
Currently client is struggling with the current process where they need to manually manage the excel sheets, reporting process and tools not situated in one application. No clear visibility of resource allocation, reporting, budget, collaboration, reporting, project management, task management, time consuming. we came up with the proposed solution to improve productivity by eliminating manual work and bringing all project-related processes into one unified PPM tool which will Include key features such as project and task management, resource allocation, budget tracking, reporting and team collaboration- all within a single platform and the tool will replace manual excel-based processes and disconnected tools currently in use. please create the system architecture diagram for proposed system
063
FLUX
make a 3D image illustrating software integration, with the writing: “architecture”, “components” and “data”, with a high-tech design. Show the software in the form of a HOLOGRAPHIC cube in the center with program codes. Around it, insert computers, screens, servers, server clouds and computer chips.
188
FLUX
"A futuristic corporate business automation hub visualization, representing hotel technology connectivity. The central Automation Hub (Light Pink, labeled 'LucidGuest') is the core integration layer, connecting hotel systems on the left side and enabled automation features on the right side through sleek neon circuit pathways in blue, pink, and aqua. 🏨 Left Side (Hotel Systems - Core Interfaces) ✅ Hotel PMS ✅ POS System ✅ Door Locks ✅ ID Scanner Each system is clearly labeled with text annotations, positioned on the left side of the diagram and connected to the Automation Hub through sleek glowing circuit lines. 🔹 Right Side (Automation-Driven Features - Enabled Services) ✅ PMS Package Management ✅ Guest Experience ✅ Membership ✅ Loyalty ✅ Ecommerce Extensions ✅ Business Intelligence Each automation feature is clearly labeled on the right side, visually distinct and connected to the Automation Hub through structured glowing circuit-like connections. The design follows a modern Glass UI aesthetic, with semi-transparent overlays, glowing lines, and a high-tech network visualization. The background is a soft gradient for contrast, with each labeled section distinct, accompanied by minimalistic, futuristic icons. The overall look is ultra-HD, business-professional, and structured for clarity."_
0142
Ideogram
Create a professional A3 landscape academic cybersecurity poster using the uploaded architecture diagram as the main visual reference. Keep the uploaded network architecture diagram in the centre as the primary visual element, but redesign the overall poster to look cleaner, modern, and professional. Poster title: Deploying and Evaluating Wazuh for Network Security Monitoring in ICT Environments Subtitle: Healthcare Cloud Security Monitoring using Microsoft Azure and Wazuh SIEM Design style: professional university capstone poster modern infographic layout cybersecurity / cloud security theme clean academic presentation blue, green, white colour palette high readability minimal text, maximum visuals use professional icons and callout boxes Poster layout requirements: 1. Problem Statement (top left) Short concise text: Healthcare ICT systems face increasing cyber threats including unauthorised access, credential abuse, and patient data tampering. Traditional monitoring solutions often lack centralised real-time visibility and rapid threat detection. Use icons: hospital hacker warning alert cybersecurity shield 2. Methodology (left side vertical flowchart) Create a clean methodology flow with icons: Planning ↓ Local VM Prototype ↓ Client Feedback / Architecture Review ↓ Azure Cloud Migration ↓ Wazuh Deployment ↓ Attack Simulation ↓ Detection Evaluation 3. Network Architecture (centre, largest section) Use the uploaded architecture diagram as the primary visual. Improve clarity and readability while preserving technical structure: Secure Hub VNET Wazuh SIEM VNET Production VNET Non-Production Kali environment Admin access Wazuh Manager Wazuh Indexer Wazuh Dashboard Windows VM Ubuntu VM monitored patient files communication ports Do NOT change technical relationships. 4. Simulated Attack Scenarios (bottom left) Use icons and short labels: Unauthorized SSH Access Windows Authentication Failure Patient File Creation Patient Data Tampering Patient File Deletion Make it visual, not text-heavy. 5. Key Results (bottom centre) Create infographic metric boxes: 3 Active Wazuh Agents 5 Simulated Attack Scenarios Detected MITRE ATT&CK Mapping Enabled ACSC Incident Classification Applied Healthcare-specific Custom Detection Rules 6. Recommendations (bottom right) Use icons + short bullets: Automated incident response Email/SMS alert notifications Azure Sentinel integration Expanded endpoint monitoring Enhanced Windows threat detection Footer: CQUniversity | COIT20265 Capstone Project | UG1 Team Important: Use the uploaded architecture image as the foundation, but make the final poster look polished, presentation-ready, and visually professional.
014
Hero
Create a BioRender-style, publication-ready vector infographic titled “研究内容框架图” for a grant proposal. Use clean flat BioRender vectors, thick outlines, minimal shadows, consistent spacing, and a readable sans-serif font (Microsoft YaHei). Use a 16:10 landscape canvas (taller than 16:9). All text inside boxes must be Chinese exactly as specified. Do not include any mathematical letters, symbols, or formulas. Layout The figure has two main sections: Section A (left/center): Research Content Framework (main flowchart) A large framed panel with a top-down or left-to-right flow of four major blocks (Step 1 → Step 2 → Step 3 → Step 4). Each block is a rounded rectangle with a short title plus 2–4 bullet points. Add clear arrows between steps. Add a small triangle badge near Step 3 showing the trade-off. Section B (right side): Three embedded mini-schematics aligned vertically, each framed, with titles: “闭环控制框架（流程图）” “耦合误差示意（维恩图）” “深度递归神经网络示意（时间展开）” Use thin dashed connectors from the main Step 1–3 blocks to the corresponding mini-schematics to show correspondence. Icons (flat, minimal) Multi-agent network graph (nodes + edges), drones and mobile robots, wireless signal, clock/bell for event-triggering, sample-and-hold icon, neural network/RNN icon, Lyapunov/stability icon, and a balance scale icon (performance vs communication vs energy). Keep icons minimal and consistent. Chinese text to place in boxes (exact) Title (top center) “学习辨识—事件触发耦合下非线性多智能体系统分布式一致性控制与收敛性/有界性分析：研究内容框架图” Section A: Main research content framework (4 steps) Step 1 (Block 1) Title: “一致性误差机理刻画” Bullets: “建立统一闭环误差建模框架” “刻画学习误差、触发保持误差与拓扑耦合误差的交叉作用” “解释收敛退化、触发频繁与性能下降的成因” “覆盖无领导一致、领导跟随一致与协同跟踪场景” Step 2 (Block 2) Title: “低保守收敛性与有界性分析” Bullets: “显式利用触发区间信息构造分析工具” “建立收敛性与有界性判据并降低保守性” “推导误差上界、无有限时间无限触发条件与触发间隔下界” “刻画触发间隔与拓扑、触发参数、辨识精度的定量关系” Step 3 (Block 3) Title: “协同设计与权衡机制” Bullets: “协同设计学习辨识器、动态事件触发与分布式控制协议” “保证学习参数与内部递归状态有界” “揭示学习率、触发参数、拓扑特征与一致性性能的定量关系” “建立一致性性能—通信次数—能耗开销的可计算权衡” Add-on icon near Step 3: A small triangular trade-off badge with vertex labels (Chinese): “一致性性能 / 通信次数 / 能耗开销” Caption next to triangle: “可计算权衡” Step 4 (Block 4) Title: “仿真分析与实验验证” Bullets: “搭建含未知非线性、扰动与通信约束的仿真平台” “对比不同触发规则、拓扑与学习精度下的性能与通信开销” “在多无人机与多机器人平台开展验证” “形成可推广的低通信、高可靠、可验证方法” Section B: Three mini-schematics (right side) Mini-panel 1: “闭环控制框架（流程图）” Draw a left-to-right flowchart with rounded blocks and arrows: Blocks (in order, Chinese text exact): “非线性多智能体系统” → “局部/邻域信息获取” → “一致性误差计算” → “学习辨识器（深度递归神经网络）” → “分布式控制器” → “动态事件触发器” → “网络传输与采样保持” → Back arrow to “非线性多智能体系统” Add two dashed feedback arrows from “一致性误差计算” to: “学习辨识器（深度递归神经网络）” (label: “误差驱动更新”) “动态事件触发器” (label: “误差驱动更新”) Add small notes: Under “动态事件触发器”: “按需通信/按需更新” Near “网络传输与采样保持”: “触发保持误差” Add a small timeline icon with ticks labeled in Chinese: “触发时刻…下一次触发时刻” and label “触发间隔”. Mini-panel 2: “耦合误差示意（维恩图）” Draw a three-circle Venn diagram with semi-transparent circles: Circle labels (Chinese): “学习辨识误差” (with RNN icon) “触发保持误差” (with clock + sample-and-hold icon) “拓扑耦合误差” (with network graph icon) Pairwise overlap labels: “学习更新×非均匀更新” “异步通信×拓扑传播” “分布式辨识×邻域耦合” Center overlap (bold): “耦合项集合” Under it: “影响一致性误差演化” Arrow from center to a right-side box titled “结果表征” with bullets: “收敛退化（渐近→最终有界）” “触发频繁/触发间隔变小” “稳态误差界增大/性能下降” Mini-panel 3: “深度递归神经网络示意（时间展开）” Draw a time-unrolled recurrent network schematic along a horizontal timeline labeled in Chinese: “上一时刻 → 当前时刻 → 下一时刻” At each time slice, show stacked recurrent blocks: Input label: “本体状态与邻域信息” → Middle label: “递归记忆状态” → Output label: “未知非线性与不确定项的在线辨识输出” Connect time slices with arrows labeled: “共享参数” Add a side arrow from “一致性误差” into a small box: “参数更新（投影/正则化/学习率调度）” Then arrow into: “学习参数更新” Style constraints BioRender clean scientific infographic, no photorealism, no clutter, high readability. Strict rule: do not include any math symbols, letters, equations, or subscripts. Negative prompt: Avoid photorealistic style, avoid dense paragraphs, avoid handwritten fonts, avoid low resolution, avoid formulas, avoid math letters.
031
Nano Banana
make a 3D infographic that illustrates software integration, with the writing: “architecture”, “components” and “data”, with a high-tech design. Show the software in the form of a HOLOGRAPHIC cube in the center with program codes. Around it, insert computers, screens, servers, server clouds and computer chips.
2120
FLUX
Create a BioRender-style, publication-ready vector infographic titled “研究内容框架图” for a grant proposal. Use clean flat BioRender vectors, thick outlines, minimal shadows, consistent spacing, and a readable sans-serif font (Microsoft YaHei). Use a 16:10 landscape canvas (taller than 16:9). All text inside boxes must be Chinese exactly as specified. Do not include any mathematical letters, symbols, or formulas. Layout The figure has two main sections: Section A (left/center): Research Content Framework (main flowchart) A large framed panel with a top-down or left-to-right flow of four major blocks (Step 1 → Step 2 → Step 3 → Step 4). Each block is a rounded rectangle with a short title plus 2–4 bullet points. Add clear arrows between steps. Add a small triangle badge near Step 3 showing the trade-off. Section B (right side): Three embedded mini-schematics aligned vertically, each framed, with titles: “闭环控制框架（流程图）” “耦合误差示意（维恩图）” “深度递归神经网络示意（时间展开）” Use thin dashed connectors from the main Step 1–3 blocks to the corresponding mini-schematics to show correspondence. Icons (flat, minimal) Multi-agent network graph (nodes + edges), drones and mobile robots, wireless signal, clock/bell for event-triggering, sample-and-hold icon, neural network/RNN icon, Lyapunov/stability icon, and a balance scale icon (performance vs communication vs energy). Keep icons minimal and consistent. Chinese text to place in boxes (exact) Title (top center) “学习辨识—事件触发耦合下非线性多智能体系统分布式一致性控制与收敛性/有界性分析：研究内容框架图” Section A: Main research content framework (4 steps) Step 1 (Block 1) Title: “一致性误差机理刻画” Bullets: “建立统一闭环误差建模框架” “刻画学习误差、触发保持误差与拓扑耦合误差的交叉作用” “解释收敛退化、触发频繁与性能下降的成因” “覆盖无领导一致、领导跟随一致与协同跟踪场景” Step 2 (Block 2) Title: “低保守收敛性与有界性分析” Bullets: “显式利用触发区间信息构造分析工具” “建立收敛性与有界性判据并降低保守性” “推导误差上界、无有限时间无限触发条件与触发间隔下界” “刻画触发间隔与拓扑、触发参数、辨识精度的定量关系” Step 3 (Block 3) Title: “协同设计与权衡机制” Bullets: “协同设计学习辨识器、动态事件触发与分布式控制协议” “保证学习参数与内部递归状态有界” “揭示学习率、触发参数、拓扑特征与一致性性能的定量关系” “建立一致性性能—通信次数—能耗开销的可计算权衡” Add-on icon near Step 3: A small triangular trade-off badge with vertex labels (Chinese): “一致性性能 / 通信次数 / 能耗开销” Caption next to triangle: “可计算权衡” Step 4 (Block 4) Title: “仿真分析与实验验证” Bullets: “搭建含未知非线性、扰动与通信约束的仿真平台” “对比不同触发规则、拓扑与学习精度下的性能与通信开销” “在多无人机与多机器人平台开展验证” “形成可推广的低通信、高可靠、可验证方法” Section B: Three mini-schematics (right side) Mini-panel 1: “闭环控制框架（流程图）” Draw a left-to-right flowchart with rounded blocks and arrows: Blocks (in order, Chinese text exact): “非线性多智能体系统” → “局部/邻域信息获取” → “一致性误差计算” → “学习辨识器（深度递归神经网络）” → “分布式控制器” → “动态事件触发器” → “网络传输与采样保持” → Back arrow to “非线性多智能体系统” Add two dashed feedback arrows from “一致性误差计算” to: “学习辨识器（深度递归神经网络）” (label: “误差驱动更新”) “动态事件触发器” (label: “误差驱动更新”) Add small notes: Under “动态事件触发器”: “按需通信/按需更新” Near “网络传输与采样保持”: “触发保持误差” Add a small timeline icon with ticks labeled in Chinese: “触发时刻…下一次触发时刻” and label “触发间隔”. Mini-panel 2: “耦合误差示意（维恩图）” Draw a three-circle Venn diagram with semi-transparent circles: Circle labels (Chinese): “学习辨识误差” (with RNN icon) “触发保持误差” (with clock + sample-and-hold icon) “拓扑耦合误差” (with network graph icon) Pairwise overlap labels: “学习更新×非均匀更新” “异步通信×拓扑传播” “分布式辨识×邻域耦合” Center overlap (bold): “耦合项集合” Under it: “影响一致性误差演化” Arrow from center to a right-side box titled “结果表征” with bullets: “收敛退化（渐近→最终有界）” “触发频繁/触发间隔变小” “稳态误差界增大/性能下降” Mini-panel 3: “深度递归神经网络示意（时间展开）” Draw a time-unrolled recurrent network schematic along a horizontal timeline labeled in Chinese: “上一时刻 → 当前时刻 → 下一时刻” At each time slice, show stacked recurrent blocks: Input label: “本体状态与邻域信息” → Middle label: “递归记忆状态” → Output label: “未知非线性与不确定项的在线辨识输出” Connect time slices with arrows labeled: “共享参数” Add a side arrow from “一致性误差” into a small box: “参数更新（投影/正则化/学习率调度）” Then arrow into: “学习参数更新” Style constraints BioRender clean scientific infographic, no photorealism, no clutter, high readability. Strict rule: do not include any math symbols, letters, equations, or subscripts. Negative prompt: Avoid photorealistic style, avoid dense paragraphs, avoid handwritten fonts, avoid low resolution, avoid formulas, avoid math letters.
138
Nano Banana
make a 3D image illustrating software integration, with the writing: “architecture”, “components” and “data”, with a high-tech design. Show the software in the form of a HOLOGRAPHIC cube in the center with program codes. Around it, insert computers, screens, servers, server clouds and computer chips.
154
FLUX
Create a professional, clean, and representational diagram illustrating a software architecture process flow. The image will be used in a technical presentation for a .NET developer audience, so it must look highly polished, modern, and corporate rather than overly cartoonish. The view must be from a side-profile perspective, detailing a sequential step-by-step process flow moving strictly from left to right. The diagram visualizes the "Producer-Consumer" design pattern using an industrial assembly line metaphor. ### Visual Elements & Spatial Layout (Left to Right): 1. **The Entry Point (Far Left):** - An elegant, minimalist digital portal or gateway icon representing a Web API Endpoint. - Text label near it reads: "GET /migration" - An arrow points from this endpoint toward the producer robot. 2. **The Producer (Left Center):** - A modern, sleek industrial robotic arm representing the "BackgroundTaskQueue" service. - The robot is actively packaging incoming request data into neat, uniform digital cargo boxes. - Label this entity: "BackgroundTaskQueue (Producer)" 3. **The Buffer (Center):** - A long, horizontal conveyor belt extending from the robot toward the right side of the frame. - On the conveyor belt, multiple identical boxes are placed at equal, perfectly spaced intervals, moving to the right. - These boxes represent the queued tasks. 4. **The Consumer (Far Right):** - A sophisticated automated workstation or processing unit representing the "MigrationBackgroundService". - This service is actively dequeuing (unpacking) the boxes as they arrive at the end of the belt. - Inside or directly above this station, show a dynamic visual indicator of execution—such as gears, a glowing progress ring, or a subtle vortex graphic—to clearly demonstrate that the unpacked requests are "spinning" (actively executing). - Label this entity: "MigrationBackgroundService (Consumer)" ### Aesthetic & Style Guidelines: - **Style:** Flat vector design or clean 3D isometric rendering suitable for enterprise architecture slide decks. - **Color Palette:** Professional corporate tones (e.g., .NET tech colors like deep purples, blues, cool greys, and crisp white backgrounds). - **Clarity:** Sharp contrasts, clean lines, high legibility, and zero visual clutter. Avoid messy abstract backgrounds.
06
Grok Image
Currently client is struggling with the current process where they need to manually manage the excel sheets, reporting process and tools not situated in one application. There is No clear visibility of resource allocation, reporting, budget, collaboration, reporting, project management, task management, time consuming. we came up with the proposed solution to improve productivity by eliminating manual work and bringing all project-related processes into one unified PPM tool which will Include key features such as project and task management, resource allocation, budget tracking, reporting and team collaboration- all within a single platform and the tool will replace manual excel-based processes and disconnected tools currently in use. please create the system architecture diagram for proposed system
0108
FLUX
make a 3D image illustrating software integration, with the writing: “architecture”, “components” and “data”, with a high-tech design. Show the software in the form of a HOLOGRAPHIC cube in the center with program codes. Around it, insert computers, screens, servers, server clouds and computer chips.
188
FLUX
Currently client is struggling with the current process where they need to manually manage the excel sheets, reporting process and tools not situated in one application. No clear visibility of resource allocation, reporting, budget, collaboration, reporting, project management, task management, time consuming. we came up with the proposed solution to improve productivity by eliminating manual work and bringing all project-related processes into one unified PPM tool which will Include key features such as project and task management, resource allocation, budget tracking, reporting and team collaboration- all within a single platform and the tool will replace manual excel-based processes and disconnected tools currently in use. please create the system architecture diagram for proposed system
063
FLUX
make a 3D infographic that illustrates software integration, with the writing: “architecture”, “components” and “data”, with a high-tech design. Show the software in the form of a HOLOGRAPHIC cube in the center with program codes. Around it, insert computers, screens, servers, server clouds and computer chips.
2120
FLUX
Create a professional A3 landscape academic cybersecurity poster using the uploaded architecture diagram as the main visual reference. Keep the uploaded network architecture diagram in the centre as the primary visual element, but redesign the overall poster to look cleaner, modern, and professional. Poster title: Deploying and Evaluating Wazuh for Network Security Monitoring in ICT Environments Subtitle: Healthcare Cloud Security Monitoring using Microsoft Azure and Wazuh SIEM Design style: professional university capstone poster modern infographic layout cybersecurity / cloud security theme clean academic presentation blue, green, white colour palette high readability minimal text, maximum visuals use professional icons and callout boxes Poster layout requirements: 1. Problem Statement (top left) Short concise text: Healthcare ICT systems face increasing cyber threats including unauthorised access, credential abuse, and patient data tampering. Traditional monitoring solutions often lack centralised real-time visibility and rapid threat detection. Use icons: hospital hacker warning alert cybersecurity shield 2. Methodology (left side vertical flowchart) Create a clean methodology flow with icons: Planning ↓ Local VM Prototype ↓ Client Feedback / Architecture Review ↓ Azure Cloud Migration ↓ Wazuh Deployment ↓ Attack Simulation ↓ Detection Evaluation 3. Network Architecture (centre, largest section) Use the uploaded architecture diagram as the primary visual. Improve clarity and readability while preserving technical structure: Secure Hub VNET Wazuh SIEM VNET Production VNET Non-Production Kali environment Admin access Wazuh Manager Wazuh Indexer Wazuh Dashboard Windows VM Ubuntu VM monitored patient files communication ports Do NOT change technical relationships. 4. Simulated Attack Scenarios (bottom left) Use icons and short labels: Unauthorized SSH Access Windows Authentication Failure Patient File Creation Patient Data Tampering Patient File Deletion Make it visual, not text-heavy. 5. Key Results (bottom centre) Create infographic metric boxes: 3 Active Wazuh Agents 5 Simulated Attack Scenarios Detected MITRE ATT&CK Mapping Enabled ACSC Incident Classification Applied Healthcare-specific Custom Detection Rules 6. Recommendations (bottom right) Use icons + short bullets: Automated incident response Email/SMS alert notifications Azure Sentinel integration Expanded endpoint monitoring Enhanced Windows threat detection Footer: CQUniversity | COIT20265 Capstone Project | UG1 Team Important: Use the uploaded architecture image as the foundation, but make the final poster look polished, presentation-ready, and visually professional.
014
Hero
make a 3D image illustrating software integration, with the writing: “architecture”, “components” and “data”, with a high-tech design. Show the software in the form of a HOLOGRAPHIC cube in the center with program codes. Around it, insert computers, screens, servers, server clouds and computer chips.
154
FLUX
Create a BioRender-style, publication-ready vector infographic titled “研究内容框架图” for a grant proposal. Use clean flat BioRender vectors, thick outlines, minimal shadows, consistent spacing, and a readable sans-serif font (Microsoft YaHei). Use a 16:10 landscape canvas (taller than 16:9). All text inside boxes must be Chinese exactly as specified. Do not include any mathematical letters, symbols, or formulas. Layout The figure has two main sections: Section A (left/center): Research Content Framework (main flowchart) A large framed panel with a top-down or left-to-right flow of four major blocks (Step 1 → Step 2 → Step 3 → Step 4). Each block is a rounded rectangle with a short title plus 2–4 bullet points. Add clear arrows between steps. Add a small triangle badge near Step 3 showing the trade-off. Section B (right side): Three embedded mini-schematics aligned vertically, each framed, with titles: “闭环控制框架（流程图）” “耦合误差示意（维恩图）” “深度递归神经网络示意（时间展开）” Use thin dashed connectors from the main Step 1–3 blocks to the corresponding mini-schematics to show correspondence. Icons (flat, minimal) Multi-agent network graph (nodes + edges), drones and mobile robots, wireless signal, clock/bell for event-triggering, sample-and-hold icon, neural network/RNN icon, Lyapunov/stability icon, and a balance scale icon (performance vs communication vs energy). Keep icons minimal and consistent. Chinese text to place in boxes (exact) Title (top center) “学习辨识—事件触发耦合下非线性多智能体系统分布式一致性控制与收敛性/有界性分析：研究内容框架图” Section A: Main research content framework (4 steps) Step 1 (Block 1) Title: “一致性误差机理刻画” Bullets: “建立统一闭环误差建模框架” “刻画学习误差、触发保持误差与拓扑耦合误差的交叉作用” “解释收敛退化、触发频繁与性能下降的成因” “覆盖无领导一致、领导跟随一致与协同跟踪场景” Step 2 (Block 2) Title: “低保守收敛性与有界性分析” Bullets: “显式利用触发区间信息构造分析工具” “建立收敛性与有界性判据并降低保守性” “推导误差上界、无有限时间无限触发条件与触发间隔下界” “刻画触发间隔与拓扑、触发参数、辨识精度的定量关系” Step 3 (Block 3) Title: “协同设计与权衡机制” Bullets: “协同设计学习辨识器、动态事件触发与分布式控制协议” “保证学习参数与内部递归状态有界” “揭示学习率、触发参数、拓扑特征与一致性性能的定量关系” “建立一致性性能—通信次数—能耗开销的可计算权衡” Add-on icon near Step 3: A small triangular trade-off badge with vertex labels (Chinese): “一致性性能 / 通信次数 / 能耗开销” Caption next to triangle: “可计算权衡” Step 4 (Block 4) Title: “仿真分析与实验验证” Bullets: “搭建含未知非线性、扰动与通信约束的仿真平台” “对比不同触发规则、拓扑与学习精度下的性能与通信开销” “在多无人机与多机器人平台开展验证” “形成可推广的低通信、高可靠、可验证方法” Section B: Three mini-schematics (right side) Mini-panel 1: “闭环控制框架（流程图）” Draw a left-to-right flowchart with rounded blocks and arrows: Blocks (in order, Chinese text exact): “非线性多智能体系统” → “局部/邻域信息获取” → “一致性误差计算” → “学习辨识器（深度递归神经网络）” → “分布式控制器” → “动态事件触发器” → “网络传输与采样保持” → Back arrow to “非线性多智能体系统” Add two dashed feedback arrows from “一致性误差计算” to: “学习辨识器（深度递归神经网络）” (label: “误差驱动更新”) “动态事件触发器” (label: “误差驱动更新”) Add small notes: Under “动态事件触发器”: “按需通信/按需更新” Near “网络传输与采样保持”: “触发保持误差” Add a small timeline icon with ticks labeled in Chinese: “触发时刻…下一次触发时刻” and label “触发间隔”. Mini-panel 2: “耦合误差示意（维恩图）” Draw a three-circle Venn diagram with semi-transparent circles: Circle labels (Chinese): “学习辨识误差” (with RNN icon) “触发保持误差” (with clock + sample-and-hold icon) “拓扑耦合误差” (with network graph icon) Pairwise overlap labels: “学习更新×非均匀更新” “异步通信×拓扑传播” “分布式辨识×邻域耦合” Center overlap (bold): “耦合项集合” Under it: “影响一致性误差演化” Arrow from center to a right-side box titled “结果表征” with bullets: “收敛退化（渐近→最终有界）” “触发频繁/触发间隔变小” “稳态误差界增大/性能下降” Mini-panel 3: “深度递归神经网络示意（时间展开）” Draw a time-unrolled recurrent network schematic along a horizontal timeline labeled in Chinese: “上一时刻 → 当前时刻 → 下一时刻” At each time slice, show stacked recurrent blocks: Input label: “本体状态与邻域信息” → Middle label: “递归记忆状态” → Output label: “未知非线性与不确定项的在线辨识输出” Connect time slices with arrows labeled: “共享参数” Add a side arrow from “一致性误差” into a small box: “参数更新（投影/正则化/学习率调度）” Then arrow into: “学习参数更新” Style constraints BioRender clean scientific infographic, no photorealism, no clutter, high readability. Strict rule: do not include any math symbols, letters, equations, or subscripts. Negative prompt: Avoid photorealistic style, avoid dense paragraphs, avoid handwritten fonts, avoid low resolution, avoid formulas, avoid math letters.
031
Nano Banana
"A futuristic corporate business automation hub visualization, representing hotel technology connectivity. The central Automation Hub (Light Pink, labeled 'LucidGuest') is the core integration layer, connecting hotel systems on the left side and enabled automation features on the right side through sleek neon circuit pathways in blue, pink, and aqua. 🏨 Left Side (Hotel Systems - Core Interfaces) ✅ Hotel PMS ✅ POS System ✅ Door Locks ✅ ID Scanner Each system is clearly labeled with text annotations, positioned on the left side of the diagram and connected to the Automation Hub through sleek glowing circuit lines. 🔹 Right Side (Automation-Driven Features - Enabled Services) ✅ PMS Package Management ✅ Guest Experience ✅ Membership ✅ Loyalty ✅ Ecommerce Extensions ✅ Business Intelligence Each automation feature is clearly labeled on the right side, visually distinct and connected to the Automation Hub through structured glowing circuit-like connections. The design follows a modern Glass UI aesthetic, with semi-transparent overlays, glowing lines, and a high-tech network visualization. The background is a soft gradient for contrast, with each labeled section distinct, accompanied by minimalistic, futuristic icons. The overall look is ultra-HD, business-professional, and structured for clarity."_
0142
Ideogram
Create a professional, clean, and representational diagram illustrating a software architecture process flow. The image will be used in a technical presentation for a .NET developer audience, so it must look highly polished, modern, and corporate rather than overly cartoonish. The view must be from a side-profile perspective, detailing a sequential step-by-step process flow moving strictly from left to right. The diagram visualizes the "Producer-Consumer" design pattern using an industrial assembly line metaphor. ### Visual Elements & Spatial Layout (Left to Right): 1. **The Entry Point (Far Left):** - An elegant, minimalist digital portal or gateway icon representing a Web API Endpoint. - Text label near it reads: "GET /migration" - An arrow points from this endpoint toward the producer robot. 2. **The Producer (Left Center):** - A modern, sleek industrial robotic arm representing the "BackgroundTaskQueue" service. - The robot is actively packaging incoming request data into neat, uniform digital cargo boxes. - Label this entity: "BackgroundTaskQueue (Producer)" 3. **The Buffer (Center):** - A long, horizontal conveyor belt extending from the robot toward the right side of the frame. - On the conveyor belt, multiple identical boxes are placed at equal, perfectly spaced intervals, moving to the right. - These boxes represent the queued tasks. 4. **The Consumer (Far Right):** - A sophisticated automated workstation or processing unit representing the "MigrationBackgroundService". - This service is actively dequeuing (unpacking) the boxes as they arrive at the end of the belt. - Inside or directly above this station, show a dynamic visual indicator of execution—such as gears, a glowing progress ring, or a subtle vortex graphic—to clearly demonstrate that the unpacked requests are "spinning" (actively executing). - Label this entity: "MigrationBackgroundService (Consumer)" ### Aesthetic & Style Guidelines: - **Style:** Flat vector design or clean 3D isometric rendering suitable for enterprise architecture slide decks. - **Color Palette:** Professional corporate tones (e.g., .NET tech colors like deep purples, blues, cool greys, and crisp white backgrounds). - **Clarity:** Sharp contrasts, clean lines, high legibility, and zero visual clutter. Avoid messy abstract backgrounds.
06
Grok Image
Create a BioRender-style, publication-ready vector infographic titled “研究内容框架图” for a grant proposal. Use clean flat BioRender vectors, thick outlines, minimal shadows, consistent spacing, and a readable sans-serif font (Microsoft YaHei). Use a 16:10 landscape canvas (taller than 16:9). All text inside boxes must be Chinese exactly as specified. Do not include any mathematical letters, symbols, or formulas. Layout The figure has two main sections: Section A (left/center): Research Content Framework (main flowchart) A large framed panel with a top-down or left-to-right flow of four major blocks (Step 1 → Step 2 → Step 3 → Step 4). Each block is a rounded rectangle with a short title plus 2–4 bullet points. Add clear arrows between steps. Add a small triangle badge near Step 3 showing the trade-off. Section B (right side): Three embedded mini-schematics aligned vertically, each framed, with titles: “闭环控制框架（流程图）” “耦合误差示意（维恩图）” “深度递归神经网络示意（时间展开）” Use thin dashed connectors from the main Step 1–3 blocks to the corresponding mini-schematics to show correspondence. Icons (flat, minimal) Multi-agent network graph (nodes + edges), drones and mobile robots, wireless signal, clock/bell for event-triggering, sample-and-hold icon, neural network/RNN icon, Lyapunov/stability icon, and a balance scale icon (performance vs communication vs energy). Keep icons minimal and consistent. Chinese text to place in boxes (exact) Title (top center) “学习辨识—事件触发耦合下非线性多智能体系统分布式一致性控制与收敛性/有界性分析：研究内容框架图” Section A: Main research content framework (4 steps) Step 1 (Block 1) Title: “一致性误差机理刻画” Bullets: “建立统一闭环误差建模框架” “刻画学习误差、触发保持误差与拓扑耦合误差的交叉作用” “解释收敛退化、触发频繁与性能下降的成因” “覆盖无领导一致、领导跟随一致与协同跟踪场景” Step 2 (Block 2) Title: “低保守收敛性与有界性分析” Bullets: “显式利用触发区间信息构造分析工具” “建立收敛性与有界性判据并降低保守性” “推导误差上界、无有限时间无限触发条件与触发间隔下界” “刻画触发间隔与拓扑、触发参数、辨识精度的定量关系” Step 3 (Block 3) Title: “协同设计与权衡机制” Bullets: “协同设计学习辨识器、动态事件触发与分布式控制协议” “保证学习参数与内部递归状态有界” “揭示学习率、触发参数、拓扑特征与一致性性能的定量关系” “建立一致性性能—通信次数—能耗开销的可计算权衡” Add-on icon near Step 3: A small triangular trade-off badge with vertex labels (Chinese): “一致性性能 / 通信次数 / 能耗开销” Caption next to triangle: “可计算权衡” Step 4 (Block 4) Title: “仿真分析与实验验证” Bullets: “搭建含未知非线性、扰动与通信约束的仿真平台” “对比不同触发规则、拓扑与学习精度下的性能与通信开销” “在多无人机与多机器人平台开展验证” “形成可推广的低通信、高可靠、可验证方法” Section B: Three mini-schematics (right side) Mini-panel 1: “闭环控制框架（流程图）” Draw a left-to-right flowchart with rounded blocks and arrows: Blocks (in order, Chinese text exact): “非线性多智能体系统” → “局部/邻域信息获取” → “一致性误差计算” → “学习辨识器（深度递归神经网络）” → “分布式控制器” → “动态事件触发器” → “网络传输与采样保持” → Back arrow to “非线性多智能体系统” Add two dashed feedback arrows from “一致性误差计算” to: “学习辨识器（深度递归神经网络）” (label: “误差驱动更新”) “动态事件触发器” (label: “误差驱动更新”) Add small notes: Under “动态事件触发器”: “按需通信/按需更新” Near “网络传输与采样保持”: “触发保持误差” Add a small timeline icon with ticks labeled in Chinese: “触发时刻…下一次触发时刻” and label “触发间隔”. Mini-panel 2: “耦合误差示意（维恩图）” Draw a three-circle Venn diagram with semi-transparent circles: Circle labels (Chinese): “学习辨识误差” (with RNN icon) “触发保持误差” (with clock + sample-and-hold icon) “拓扑耦合误差” (with network graph icon) Pairwise overlap labels: “学习更新×非均匀更新” “异步通信×拓扑传播” “分布式辨识×邻域耦合” Center overlap (bold): “耦合项集合” Under it: “影响一致性误差演化” Arrow from center to a right-side box titled “结果表征” with bullets: “收敛退化（渐近→最终有界）” “触发频繁/触发间隔变小” “稳态误差界增大/性能下降” Mini-panel 3: “深度递归神经网络示意（时间展开）” Draw a time-unrolled recurrent network schematic along a horizontal timeline labeled in Chinese: “上一时刻 → 当前时刻 → 下一时刻” At each time slice, show stacked recurrent blocks: Input label: “本体状态与邻域信息” → Middle label: “递归记忆状态” → Output label: “未知非线性与不确定项的在线辨识输出” Connect time slices with arrows labeled: “共享参数” Add a side arrow from “一致性误差” into a small box: “参数更新（投影/正则化/学习率调度）” Then arrow into: “学习参数更新” Style constraints BioRender clean scientific infographic, no photorealism, no clutter, high readability. Strict rule: do not include any math symbols, letters, equations, or subscripts. Negative prompt: Avoid photorealistic style, avoid dense paragraphs, avoid handwritten fonts, avoid low resolution, avoid formulas, avoid math letters.
138
Nano Banana
Currently client is struggling with the current process where they need to manually manage the excel sheets, reporting process and tools not situated in one application. There is No clear visibility of resource allocation, reporting, budget, collaboration, reporting, project management, task management, time consuming. we came up with the proposed solution to improve productivity by eliminating manual work and bringing all project-related processes into one unified PPM tool which will Include key features such as project and task management, resource allocation, budget tracking, reporting and team collaboration- all within a single platform and the tool will replace manual excel-based processes and disconnected tools currently in use. please create the system architecture diagram for proposed system
0108
FLUX
make a 3D image illustrating software integration, with the writing: “architecture”, “components” and “data”, with a high-tech design. Show the software in the form of a HOLOGRAPHIC cube in the center with program codes. Around it, insert computers, screens, servers, server clouds and computer chips.
154
FLUX
Currently client is struggling with the current process where they need to manually manage the excel sheets, reporting process and tools not situated in one application. No clear visibility of resource allocation, reporting, budget, collaboration, reporting, project management, task management, time consuming. we came up with the proposed solution to improve productivity by eliminating manual work and bringing all project-related processes into one unified PPM tool which will Include key features such as project and task management, resource allocation, budget tracking, reporting and team collaboration- all within a single platform and the tool will replace manual excel-based processes and disconnected tools currently in use. please create the system architecture diagram for proposed system
063
FLUX
"A futuristic corporate business automation hub visualization, representing hotel technology connectivity. The central Automation Hub (Light Pink, labeled 'LucidGuest') is the core integration layer, connecting hotel systems on the left side and enabled automation features on the right side through sleek neon circuit pathways in blue, pink, and aqua. 🏨 Left Side (Hotel Systems - Core Interfaces) ✅ Hotel PMS ✅ POS System ✅ Door Locks ✅ ID Scanner Each system is clearly labeled with text annotations, positioned on the left side of the diagram and connected to the Automation Hub through sleek glowing circuit lines. 🔹 Right Side (Automation-Driven Features - Enabled Services) ✅ PMS Package Management ✅ Guest Experience ✅ Membership ✅ Loyalty ✅ Ecommerce Extensions ✅ Business Intelligence Each automation feature is clearly labeled on the right side, visually distinct and connected to the Automation Hub through structured glowing circuit-like connections. The design follows a modern Glass UI aesthetic, with semi-transparent overlays, glowing lines, and a high-tech network visualization. The background is a soft gradient for contrast, with each labeled section distinct, accompanied by minimalistic, futuristic icons. The overall look is ultra-HD, business-professional, and structured for clarity."_
0142
Ideogram
Create a BioRender-style, publication-ready vector infographic titled “研究内容框架图” for a grant proposal. Use clean flat BioRender vectors, thick outlines, minimal shadows, consistent spacing, and a readable sans-serif font (Microsoft YaHei). Use a 16:10 landscape canvas (taller than 16:9). All text inside boxes must be Chinese exactly as specified. Do not include any mathematical letters, symbols, or formulas. Layout The figure has two main sections: Section A (left/center): Research Content Framework (main flowchart) A large framed panel with a top-down or left-to-right flow of four major blocks (Step 1 → Step 2 → Step 3 → Step 4). Each block is a rounded rectangle with a short title plus 2–4 bullet points. Add clear arrows between steps. Add a small triangle badge near Step 3 showing the trade-off. Section B (right side): Three embedded mini-schematics aligned vertically, each framed, with titles: “闭环控制框架（流程图）” “耦合误差示意（维恩图）” “深度递归神经网络示意（时间展开）” Use thin dashed connectors from the main Step 1–3 blocks to the corresponding mini-schematics to show correspondence. Icons (flat, minimal) Multi-agent network graph (nodes + edges), drones and mobile robots, wireless signal, clock/bell for event-triggering, sample-and-hold icon, neural network/RNN icon, Lyapunov/stability icon, and a balance scale icon (performance vs communication vs energy). Keep icons minimal and consistent. Chinese text to place in boxes (exact) Title (top center) “学习辨识—事件触发耦合下非线性多智能体系统分布式一致性控制与收敛性/有界性分析：研究内容框架图” Section A: Main research content framework (4 steps) Step 1 (Block 1) Title: “一致性误差机理刻画” Bullets: “建立统一闭环误差建模框架” “刻画学习误差、触发保持误差与拓扑耦合误差的交叉作用” “解释收敛退化、触发频繁与性能下降的成因” “覆盖无领导一致、领导跟随一致与协同跟踪场景” Step 2 (Block 2) Title: “低保守收敛性与有界性分析” Bullets: “显式利用触发区间信息构造分析工具” “建立收敛性与有界性判据并降低保守性” “推导误差上界、无有限时间无限触发条件与触发间隔下界” “刻画触发间隔与拓扑、触发参数、辨识精度的定量关系” Step 3 (Block 3) Title: “协同设计与权衡机制” Bullets: “协同设计学习辨识器、动态事件触发与分布式控制协议” “保证学习参数与内部递归状态有界” “揭示学习率、触发参数、拓扑特征与一致性性能的定量关系” “建立一致性性能—通信次数—能耗开销的可计算权衡” Add-on icon near Step 3: A small triangular trade-off badge with vertex labels (Chinese): “一致性性能 / 通信次数 / 能耗开销” Caption next to triangle: “可计算权衡” Step 4 (Block 4) Title: “仿真分析与实验验证” Bullets: “搭建含未知非线性、扰动与通信约束的仿真平台” “对比不同触发规则、拓扑与学习精度下的性能与通信开销” “在多无人机与多机器人平台开展验证” “形成可推广的低通信、高可靠、可验证方法” Section B: Three mini-schematics (right side) Mini-panel 1: “闭环控制框架（流程图）” Draw a left-to-right flowchart with rounded blocks and arrows: Blocks (in order, Chinese text exact): “非线性多智能体系统” → “局部/邻域信息获取” → “一致性误差计算” → “学习辨识器（深度递归神经网络）” → “分布式控制器” → “动态事件触发器” → “网络传输与采样保持” → Back arrow to “非线性多智能体系统” Add two dashed feedback arrows from “一致性误差计算” to: “学习辨识器（深度递归神经网络）” (label: “误差驱动更新”) “动态事件触发器” (label: “误差驱动更新”) Add small notes: Under “动态事件触发器”: “按需通信/按需更新” Near “网络传输与采样保持”: “触发保持误差” Add a small timeline icon with ticks labeled in Chinese: “触发时刻…下一次触发时刻” and label “触发间隔”. Mini-panel 2: “耦合误差示意（维恩图）” Draw a three-circle Venn diagram with semi-transparent circles: Circle labels (Chinese): “学习辨识误差” (with RNN icon) “触发保持误差” (with clock + sample-and-hold icon) “拓扑耦合误差” (with network graph icon) Pairwise overlap labels: “学习更新×非均匀更新” “异步通信×拓扑传播” “分布式辨识×邻域耦合” Center overlap (bold): “耦合项集合” Under it: “影响一致性误差演化” Arrow from center to a right-side box titled “结果表征” with bullets: “收敛退化（渐近→最终有界）” “触发频繁/触发间隔变小” “稳态误差界增大/性能下降” Mini-panel 3: “深度递归神经网络示意（时间展开）” Draw a time-unrolled recurrent network schematic along a horizontal timeline labeled in Chinese: “上一时刻 → 当前时刻 → 下一时刻” At each time slice, show stacked recurrent blocks: Input label: “本体状态与邻域信息” → Middle label: “递归记忆状态” → Output label: “未知非线性与不确定项的在线辨识输出” Connect time slices with arrows labeled: “共享参数” Add a side arrow from “一致性误差” into a small box: “参数更新（投影/正则化/学习率调度）” Then arrow into: “学习参数更新” Style constraints BioRender clean scientific infographic, no photorealism, no clutter, high readability. Strict rule: do not include any math symbols, letters, equations, or subscripts. Negative prompt: Avoid photorealistic style, avoid dense paragraphs, avoid handwritten fonts, avoid low resolution, avoid formulas, avoid math letters.
138
Nano Banana
Create a professional A3 landscape academic cybersecurity poster using the uploaded architecture diagram as the main visual reference. Keep the uploaded network architecture diagram in the centre as the primary visual element, but redesign the overall poster to look cleaner, modern, and professional. Poster title: Deploying and Evaluating Wazuh for Network Security Monitoring in ICT Environments Subtitle: Healthcare Cloud Security Monitoring using Microsoft Azure and Wazuh SIEM Design style: professional university capstone poster modern infographic layout cybersecurity / cloud security theme clean academic presentation blue, green, white colour palette high readability minimal text, maximum visuals use professional icons and callout boxes Poster layout requirements: 1. Problem Statement (top left) Short concise text: Healthcare ICT systems face increasing cyber threats including unauthorised access, credential abuse, and patient data tampering. Traditional monitoring solutions often lack centralised real-time visibility and rapid threat detection. Use icons: hospital hacker warning alert cybersecurity shield 2. Methodology (left side vertical flowchart) Create a clean methodology flow with icons: Planning ↓ Local VM Prototype ↓ Client Feedback / Architecture Review ↓ Azure Cloud Migration ↓ Wazuh Deployment ↓ Attack Simulation ↓ Detection Evaluation 3. Network Architecture (centre, largest section) Use the uploaded architecture diagram as the primary visual. Improve clarity and readability while preserving technical structure: Secure Hub VNET Wazuh SIEM VNET Production VNET Non-Production Kali environment Admin access Wazuh Manager Wazuh Indexer Wazuh Dashboard Windows VM Ubuntu VM monitored patient files communication ports Do NOT change technical relationships. 4. Simulated Attack Scenarios (bottom left) Use icons and short labels: Unauthorized SSH Access Windows Authentication Failure Patient File Creation Patient Data Tampering Patient File Deletion Make it visual, not text-heavy. 5. Key Results (bottom centre) Create infographic metric boxes: 3 Active Wazuh Agents 5 Simulated Attack Scenarios Detected MITRE ATT&CK Mapping Enabled ACSC Incident Classification Applied Healthcare-specific Custom Detection Rules 6. Recommendations (bottom right) Use icons + short bullets: Automated incident response Email/SMS alert notifications Azure Sentinel integration Expanded endpoint monitoring Enhanced Windows threat detection Footer: CQUniversity | COIT20265 Capstone Project | UG1 Team Important: Use the uploaded architecture image as the foundation, but make the final poster look polished, presentation-ready, and visually professional.
014
Hero
Create a BioRender-style, publication-ready vector infographic titled “研究内容框架图” for a grant proposal. Use clean flat BioRender vectors, thick outlines, minimal shadows, consistent spacing, and a readable sans-serif font (Microsoft YaHei). Use a 16:10 landscape canvas (taller than 16:9). All text inside boxes must be Chinese exactly as specified. Do not include any mathematical letters, symbols, or formulas. Layout The figure has two main sections: Section A (left/center): Research Content Framework (main flowchart) A large framed panel with a top-down or left-to-right flow of four major blocks (Step 1 → Step 2 → Step 3 → Step 4). Each block is a rounded rectangle with a short title plus 2–4 bullet points. Add clear arrows between steps. Add a small triangle badge near Step 3 showing the trade-off. Section B (right side): Three embedded mini-schematics aligned vertically, each framed, with titles: “闭环控制框架（流程图）” “耦合误差示意（维恩图）” “深度递归神经网络示意（时间展开）” Use thin dashed connectors from the main Step 1–3 blocks to the corresponding mini-schematics to show correspondence. Icons (flat, minimal) Multi-agent network graph (nodes + edges), drones and mobile robots, wireless signal, clock/bell for event-triggering, sample-and-hold icon, neural network/RNN icon, Lyapunov/stability icon, and a balance scale icon (performance vs communication vs energy). Keep icons minimal and consistent. Chinese text to place in boxes (exact) Title (top center) “学习辨识—事件触发耦合下非线性多智能体系统分布式一致性控制与收敛性/有界性分析：研究内容框架图” Section A: Main research content framework (4 steps) Step 1 (Block 1) Title: “一致性误差机理刻画” Bullets: “建立统一闭环误差建模框架” “刻画学习误差、触发保持误差与拓扑耦合误差的交叉作用” “解释收敛退化、触发频繁与性能下降的成因” “覆盖无领导一致、领导跟随一致与协同跟踪场景” Step 2 (Block 2) Title: “低保守收敛性与有界性分析” Bullets: “显式利用触发区间信息构造分析工具” “建立收敛性与有界性判据并降低保守性” “推导误差上界、无有限时间无限触发条件与触发间隔下界” “刻画触发间隔与拓扑、触发参数、辨识精度的定量关系” Step 3 (Block 3) Title: “协同设计与权衡机制” Bullets: “协同设计学习辨识器、动态事件触发与分布式控制协议” “保证学习参数与内部递归状态有界” “揭示学习率、触发参数、拓扑特征与一致性性能的定量关系” “建立一致性性能—通信次数—能耗开销的可计算权衡” Add-on icon near Step 3: A small triangular trade-off badge with vertex labels (Chinese): “一致性性能 / 通信次数 / 能耗开销” Caption next to triangle: “可计算权衡” Step 4 (Block 4) Title: “仿真分析与实验验证” Bullets: “搭建含未知非线性、扰动与通信约束的仿真平台” “对比不同触发规则、拓扑与学习精度下的性能与通信开销” “在多无人机与多机器人平台开展验证” “形成可推广的低通信、高可靠、可验证方法” Section B: Three mini-schematics (right side) Mini-panel 1: “闭环控制框架（流程图）” Draw a left-to-right flowchart with rounded blocks and arrows: Blocks (in order, Chinese text exact): “非线性多智能体系统” → “局部/邻域信息获取” → “一致性误差计算” → “学习辨识器（深度递归神经网络）” → “分布式控制器” → “动态事件触发器” → “网络传输与采样保持” → Back arrow to “非线性多智能体系统” Add two dashed feedback arrows from “一致性误差计算” to: “学习辨识器（深度递归神经网络）” (label: “误差驱动更新”) “动态事件触发器” (label: “误差驱动更新”) Add small notes: Under “动态事件触发器”: “按需通信/按需更新” Near “网络传输与采样保持”: “触发保持误差” Add a small timeline icon with ticks labeled in Chinese: “触发时刻…下一次触发时刻” and label “触发间隔”. Mini-panel 2: “耦合误差示意（维恩图）” Draw a three-circle Venn diagram with semi-transparent circles: Circle labels (Chinese): “学习辨识误差” (with RNN icon) “触发保持误差” (with clock + sample-and-hold icon) “拓扑耦合误差” (with network graph icon) Pairwise overlap labels: “学习更新×非均匀更新” “异步通信×拓扑传播” “分布式辨识×邻域耦合” Center overlap (bold): “耦合项集合” Under it: “影响一致性误差演化” Arrow from center to a right-side box titled “结果表征” with bullets: “收敛退化（渐近→最终有界）” “触发频繁/触发间隔变小” “稳态误差界增大/性能下降” Mini-panel 3: “深度递归神经网络示意（时间展开）” Draw a time-unrolled recurrent network schematic along a horizontal timeline labeled in Chinese: “上一时刻 → 当前时刻 → 下一时刻” At each time slice, show stacked recurrent blocks: Input label: “本体状态与邻域信息” → Middle label: “递归记忆状态” → Output label: “未知非线性与不确定项的在线辨识输出” Connect time slices with arrows labeled: “共享参数” Add a side arrow from “一致性误差” into a small box: “参数更新（投影/正则化/学习率调度）” Then arrow into: “学习参数更新” Style constraints BioRender clean scientific infographic, no photorealism, no clutter, high readability. Strict rule: do not include any math symbols, letters, equations, or subscripts. Negative prompt: Avoid photorealistic style, avoid dense paragraphs, avoid handwritten fonts, avoid low resolution, avoid formulas, avoid math letters.
031
Nano Banana
Create a professional, clean, and representational diagram illustrating a software architecture process flow. The image will be used in a technical presentation for a .NET developer audience, so it must look highly polished, modern, and corporate rather than overly cartoonish. The view must be from a side-profile perspective, detailing a sequential step-by-step process flow moving strictly from left to right. The diagram visualizes the "Producer-Consumer" design pattern using an industrial assembly line metaphor. ### Visual Elements & Spatial Layout (Left to Right): 1. **The Entry Point (Far Left):** - An elegant, minimalist digital portal or gateway icon representing a Web API Endpoint. - Text label near it reads: "GET /migration" - An arrow points from this endpoint toward the producer robot. 2. **The Producer (Left Center):** - A modern, sleek industrial robotic arm representing the "BackgroundTaskQueue" service. - The robot is actively packaging incoming request data into neat, uniform digital cargo boxes. - Label this entity: "BackgroundTaskQueue (Producer)" 3. **The Buffer (Center):** - A long, horizontal conveyor belt extending from the robot toward the right side of the frame. - On the conveyor belt, multiple identical boxes are placed at equal, perfectly spaced intervals, moving to the right. - These boxes represent the queued tasks. 4. **The Consumer (Far Right):** - A sophisticated automated workstation or processing unit representing the "MigrationBackgroundService". - This service is actively dequeuing (unpacking) the boxes as they arrive at the end of the belt. - Inside or directly above this station, show a dynamic visual indicator of execution—such as gears, a glowing progress ring, or a subtle vortex graphic—to clearly demonstrate that the unpacked requests are "spinning" (actively executing). - Label this entity: "MigrationBackgroundService (Consumer)" ### Aesthetic & Style Guidelines: - **Style:** Flat vector design or clean 3D isometric rendering suitable for enterprise architecture slide decks. - **Color Palette:** Professional corporate tones (e.g., .NET tech colors like deep purples, blues, cool greys, and crisp white backgrounds). - **Clarity:** Sharp contrasts, clean lines, high legibility, and zero visual clutter. Avoid messy abstract backgrounds.
06
Grok Image
make a 3D image illustrating software integration, with the writing: “architecture”, “components” and “data”, with a high-tech design. Show the software in the form of a HOLOGRAPHIC cube in the center with program codes. Around it, insert computers, screens, servers, server clouds and computer chips.
188
FLUX
make a 3D infographic that illustrates software integration, with the writing: “architecture”, “components” and “data”, with a high-tech design. Show the software in the form of a HOLOGRAPHIC cube in the center with program codes. Around it, insert computers, screens, servers, server clouds and computer chips.
2120
FLUX