Pushing the code for Automatic AP placement

docs/slides/01_system_architecture.md

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+# WiFi Signal Prediction System Architecture
+
+## System Components
+
+### 1. Data Collection Module
+- WiFi Data Collector: Simulates signal strength measurements
+- Material Physics Engine: Models signal attenuation through different materials
+- Sampling Grid: High-resolution 200x120 point sampling
+
+### 2. Physics Simulation
+- Material Properties:
+  - Concrete, Glass, Wood, Drywall
+  - Each with specific permittivity and conductivity values
+  - Thickness-based attenuation modeling
+
+### 3. Visualization System
+- Building Layout Engine
+  - Material Grid System (0.1m resolution)
+  - Complex Office Layout Support
+  - Multi-layer Material Handling
+
+- Signal Visualization
+  - Heatmap Generation
+  - Gaussian Interpolation
+  - Material Overlay System
+  - Access Point Markers
+
+### 4. Data Flow
+1. Building Layout Definition → Material Grid
+2. AP Placement → Signal Source Points
+3. Physics-based Signal Propagation
+4. Data Collection & Processing
+5. Visualization Generation

docs/slides/02_evaluation.md

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+# System Evaluation
+
+## Testing Methodology
+
+### 1. Signal Propagation Accuracy
+- Physics-based validation against theoretical models
+- Material attenuation verification
+- Multi-path signal handling assessment
+
+### 2. Spatial Resolution Testing
+- Grid density analysis (0.1m resolution)
+- Edge case handling at material boundaries
+- Signal interpolation accuracy
+
+### 3. Performance Metrics
+- Computation time for different building sizes
+- Memory usage optimization
+- Visualization rendering speed
+
+### 4. Visualization Quality
+- Heatmap clarity and readability
+- Material overlay effectiveness
+- Access point marker visibility
+- Legend and label readability
+
+### 5. System Robustness
+- Multiple AP configurations
+- Complex building layouts
+- Various material combinations
+- Edge case handling

docs/slides/03_results.md

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+# Results and Achievements
+
+## Signal Characteristics
+
+### 1. Signal Properties
+- Operating Frequency: 2.4 GHz
+- Transmit Power: 20 dBm
+- Noise Floor: -96.0 dBm
+- Signal Quality Range: 0-1 (normalized from RSSI)
+
+### 2. Material Attenuation (2.4 GHz)
+- Concrete (20cm): 4.5 εr, 0.014 S/m conductivity
+- Glass (6mm): 6.0 εr, 0.004 S/m conductivity
+- Wood (4cm): 2.1 εr, 0.002 S/m conductivity
+- Drywall (16mm): 2.0 εr, 0.001 S/m conductivity
+- Metal (2mm): 1.0 εr, 1e7 S/m conductivity
+
+### 3. System Performance
+- Grid Resolution: 0.1m (10cm)
+- Sampling Points: 200x120 grid (24,000 points)
+- Coverage Area: 50m x 30m (1,500 m²)
+- Signal Range: Typically -30 dBm to -90 dBm
+
+### 4. Visualization Improvements
+- AP Marker Size: 3000-4000 units
+- High-Resolution Output: 600 DPI
+- Material Overlay: 0.5 alpha transparency
+- Support for Multiple APs (up to 4)
+  - Channel Separation: 5 channels
+  - Realistic Noise: σ = 2 dB

docs/slides/slide1_system_architecture.txt

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+Slide 1: System Architecture
+
+System Components
+
+1. Data Collection Module
+• WiFi Data Collector: Simulates signal strength measurements
+• Material Physics Engine: Models signal attenuation through different materials
+• Sampling Grid: High-resolution 200x120 point sampling
+
+2. Physics Simulation
+• Material Properties:
+  - Concrete, Glass, Wood, Drywall
+  - Each with specific permittivity and conductivity values
+  - Thickness-based attenuation modeling
+
+3. Visualization System
+• Building Layout Engine
+  - Material Grid System (0.1m resolution)
+  - Complex Office Layout Support
+  - Multi-layer Material Handling
+
+• Signal Visualization
+  - Heatmap Generation
+  - Gaussian Interpolation
+  - Material Overlay System
+  - Access Point Markers
+
+4. Data Flow
+1. Building Layout Definition → Material Grid
+2. AP Placement → Signal Source Points
+3. Physics-based Signal Propagation
+4. Data Collection & Processing
+5. Visualization Generation

docs/slides/slide2_evaluation.txt

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+Slide 2: System Evaluation
+
+Testing Methodology
+
+1. Signal Propagation Accuracy
+• Physics-based validation against theoretical models
+• Material attenuation verification
+• Multi-path signal handling assessment
+
+2. Spatial Resolution Testing
+• Grid density analysis (0.1m resolution)
+• Edge case handling at material boundaries
+• Signal interpolation accuracy
+
+3. Performance Metrics
+• Computation time for different building sizes
+• Memory usage optimization
+• Visualization rendering speed
+
+4. Visualization Quality
+• Heatmap clarity and readability
+• Material overlay effectiveness
+• Access point marker visibility
+• Legend and label readability
+
+5. System Robustness
+• Multiple AP configurations
+• Complex building layouts
+• Various material combinations
+• Edge case handling

docs/slides/slide3_results_signal.txt

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+Slide 3: Signal Characteristics
+
+1. Signal Properties
+• Operating Frequency: 2.4 GHz
+• Transmit Power: 20 dBm
+• Noise Floor: -96.0 dBm
+• Signal Quality Range: 0-1 (normalized from RSSI)
+
+2. Material Attenuation (2.4 GHz)
+• Concrete (20cm): 4.5 εr, 0.014 S/m conductivity
+• Glass (6mm): 6.0 εr, 0.004 S/m conductivity
+• Wood (4cm): 2.1 εr, 0.002 S/m conductivity
+• Drywall (16mm): 2.0 εr, 0.001 S/m conductivity
+• Metal (2mm): 1.0 εr, 1e7 S/m conductivity

docs/slides/slide4_results_performance.txt

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+Slide 4: System Performance & Visualization
+
+1. System Performance
+• Grid Resolution: 0.1m (10cm)
+• Sampling Points: 200x120 grid (24,000 points)
+• Coverage Area: 50m x 30m (1,500 m²)
+• Signal Range: Typically -30 dBm to -90 dBm
+
+2. Visualization Improvements
+• AP Marker Size: 3000-4000 units
+• High-Resolution Output: 600 DPI
+• Material Overlay: 0.5 alpha transparency
+• Support for Multiple APs (up to 4)
+  - Channel Separation: 5 channels
+  - Realistic Noise: σ = 2 dB

docs/wifi_presentation.pptx

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+

docs/wifi_signal_prediction.pptx

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+