Wifi fingerprinting based room level classification: combining short term fourier transform and imbalanced learning method

Islam, Fahmida; Farmer, Jason; Dahal, Ajaya; Tang, Bo; Ball, John; Young, Maxwell

doi:10.1117/12.2618717

Cited by 3 publications

(1 citation statement)

References 11 publications

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“…TL enables knowledge transfer or transfer learning between task domains. TL has been proven to be beneficial in web document classification, 21 indoor wifi localization problems, 22,23 and sentiment classification. 24 Transfer learning focuses on three main research issues: what to transfer, how to transfer, and when to transfer.…”

Section: Transfer Learning (Tl)mentioning

confidence: 99%

Evaluate the performance of attention DDPG-based adaptive cruise control system in all weather conditions

Islam,

Ebu,

Rahman

et al. 2024

Autonomous Systems: Sensors, Processing, and Security for Ground, Air, Sea, and Space Vehicles and Infrastructure 2024

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Adaptive Cruise Control (ACC) is one of the common advanced driving features that aims to assist the driver from fatigue. A lot of models for ACC are available, such as Proportional, Integral, and Derivative (PID), Model Predictive Control (MPC), and reinforcement learning (RL). Recently a deep RL technique called deep deterministic policy gradient (DDPG) has been widely used for velocity control. DDPG is a mixture of deep learning (DL) and RL method, that uses neural networks (NN) to estimate its action. In this work, we utilize an attention DDPG model. The attention mechanism in DDPG increases the overall effectiveness of the model by reducing focus on the less important features. The network structure consists of one hidden layer with 30 neurons, which has been deployed in our previous work. The reward function has been designed to concentrate on overall safety and comfort. In this paper, we introduce a new criterion of weather conditions, which has not been used before in the literature. We trained our model with a publicly available dataset. For testing, we created simulated sensor data created in the Mississippi State University Autonomous Vehicular Simulator (MAVS). We introduced various scenarios within the simulation environment with differing weather conditions to assess the performance of the ACC model. In many cases, the sensors are weather-sensitive, which can affect the performance of the ACC system. The primary objective of this study is to evaluate the performance of the Attention DDPG-based ACC model under varying weather conditions. The results show that the agent can maintain safety across a range of weather conditions.

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Section: Transfer Learning (Tl)mentioning

confidence: 99%

Evaluate the performance of attention DDPG-based adaptive cruise control system in all weather conditions

Islam,

Ebu,

Rahman

et al. 2024

Autonomous Systems: Sensors, Processing, and Security for Ground, Air, Sea, and Space Vehicles and Infrastructure 2024

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Comparison Between Wi-Fi-CSI and Radar-Based HAR

Dahal,

Biswas,

Gurbuz

et al. 2024

2024 IEEE Radar Conference (RadarConf24)

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Robustness analysis of Wi-Fi-based human activity recognition

Dahal,

Biswas,

Gurbuz

et al. 2024

Big Data VI: Learning, Analytics, and Applications

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Researchers are exploring how radio frequency (RF) sensors can be used to create new interfaces and smart environments that respond to human movement. This technology has the potential to be used in things like gesture recognition or smart home systems. While there are different types of RF sensors that can be used, this study focuses on using Wi-Fi signals for this purpose. The researchers collected data using a Raspberry Pi equipped with special software. They then analyzed this data to see if it could be used to identify different human activities. They made their data and code publicly available so that others can build on their work. The study found that Wi-Fi signals could be used to identify activities with an accuracy of around 65%. This suggests that Wi-Fi has potential for being used to monitor activity indoors.

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Wifi fingerprinting based room level classification: combining short term fourier transform and imbalanced learning method

Cited by 3 publications

References 11 publications

Evaluate the performance of attention DDPG-based adaptive cruise control system in all weather conditions

Evaluate the performance of attention DDPG-based adaptive cruise control system in all weather conditions

Comparison Between Wi-Fi-CSI and Radar-Based HAR

Robustness analysis of Wi-Fi-based human activity recognition

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