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Efficient Policy Transfer in Large-Scale Traffic Light Control via Multi-Agent Hierarchical Reinforcement Learning 19

Efficient Policy Transfer in Large-Scale Traffic Light Contr...

引用

19th ieee international conference on automation science and engineering, CASE 2023

作者： Li, Chenghao Yan, Hu Zhao, Qianchuan Tsinghua University Center for Intelligent and Networked System Dept Automation Beijing100084 China

ISBN: (纸本)9798350320695

Multi-agent reinforcement learning (MARL) is increasingly being used for traffic light control in traffic networks. However, applying MARL to large-scale traffic light control faces challenges due to the time-consuming and resource-intensive nature of learning in such environments. This paper addresses this challenge by leveraging transfer learning, utilizing policies trained in small-scale environments to effectively control large-scale traffic light systems. To enhance the zero-shot transferability of trained policies, we introduce communication channels and sub-task decomposition, while ensuring transferability by sharing all neural network parameters. In our experiments, we assess the zero-shot transferability of policies trained in different small-scale traffic networks, both with and without sub-task decomposition. The results demonstrate the significance of establishing a hierarchical structure through sub-task decomposition for zero-shot transfer. © 2023 ieee.

关键词： Reinforcement learning

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K-Gate Lock: Multi-Key Logic Locking Using Input Encoding Against Oracle-Guided Attacks 25

K-Gate Lock: Multi-Key Logic Locking Using Input Encoding Ag...

引用

30th Asia and South Pacific Design automation conference, ASP-DAC 2025

作者： Lopez, Kevin Rezaei, Amin Computer Engineering and Computer Science Department California State University Long Beach United States

ISBN: (纸本)9798400706356

Logic locking has emerged to prevent piracy and overproduction of integrated circuits ever since the split of the design house and manufacturing foundry was established. While there has been a lot of research using a single global key to lock the circuit, even the most sophisticated single-key locking methods have been shown to be vulnerable to powerful SAT-based oracle-guided attacks that can extract the correct key with the help of an activated chip bought off the market and the locked netlist leaked from the untrusted foundry. To address this challenge, we propose, implement, and evaluate a novel logic locking method called K-Gate Lock that encodes input patterns using multiple keys that are applied to one set of key inputs at different operational times. Our comprehensive experimental results confirm that using multiple keys will make the circuit secure against oracle-guided attacks and increase attacker efforts to an exponentially time-consuming brute force search. K-Gate Lock has reasonable power and performance overheads, making it a practical solution for real-world hardware intellectual property protection. © 2025 Institute of Electrical and Electronics Engineers Inc.. All rights reserved.

关键词： Locks (fasteners)

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Design and Analysis of Slotted Antenna Array for Vehicular Applications 11

Design and Analysis of Slotted Antenna Array for Vehicular A...

引用

11th ieee international conference on Signal Processing and Integrated Networks, SPIN 2024

作者： Singh, Gurprince Singh, Gurmeet Kumar, Ashish Sahoo, Bikash Chandra Singh, Deepika SR University School of Computer Science and Artificial Intelligence Telangana Warangal India Galgotia University School of Computer Science and Engineering Uttar Pradesh India Chitkara University Institute of Engineering and Technology Chitkara University Punjab India Indira Gandhi Institute of Technology Department of ECE Odisha Sarang India Thapar Institute of Engineering and Technology Department of ECE Punjab Patiala India

ISBN: (纸本)9798350308433

Dedicated short-range communication (DSRC) and vehicle to everything communications are now is the key research area as there are numerous internet of things (1oT) applications and to ensure road safety. As there is a limited space available on the vehicles to mount the antennas therefore it is necessary to embed multifunctional antennas and this requirement can only be fulfilled by low profile patch antennas. This paper presents the design of slotted antenna array operating at 5.8 GHz in C-band for DSRC and WLAN applications and it also resonate at 9.8 GHz for vehicle to satellite, Satellite-borne synthetic aperture radar (SAR) and radio navigation applications. After simulations, the design is fabricated and the simulated and measured reflection coefficient agree well. © 2024 ieee.

关键词： Synthetic aperture radar

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Automated Sleep Stage Classification and Music Therapy Recommendation for sleep Disorder

Automated Sleep Stage Classification and Music Therapy Recom...

引用

2025 ieee international Students' conference on Electrical, Electronics and computer science, SCEECS 2025

作者： Jain, Sambhav Thakur, Satyam Bhowate, Prachi Gupta, Neha Khandelwal, Sarika G H Raisoni College of Engineering Nagpur India

ISBN: (纸本)9798331529833

This work hereby proposes a new framework in the classification of stages of sleep, followed by personalized music therapy, in treating sleep disorders related to insomnia, sleep apnea, and narcolepsy. The proposed system is empowered with state-of-the-art machine learning algorithms applied to PSG data to enhance the detection of a variety of stages of sleep using real-time physiological signals such as EEG, EOG, and EMG. This system, Dream Tunes, provides personalized music therapy adapted to the detected sleep stages and thus improves quality sleep and, in general, therapeutic outcomes. The use of machine learning for treatment with music is an effective non-invasive intervention that can enhance sleep health. Testing confirms the viability of the approach proposed by higher accuracy in sleep stage detection and personalized music recommendation. Thus, the given study represented a huge development in the field of somnology with the use of technology and therapeutic ways to support better management of sleep. © 2025 ieee.

关键词： Sleep research

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Different MPPT Algorithms for DC-DC Converter

Different MPPT Algorithms for DC-DC Converter

引用

2025 ieee international Students' conference on Electrical, Electronics and computer science, SCEECS 2025

作者： Kumar, Boddepalli Hemanth Ghosh, Arnab National Institute of Technology Dept. of Electrical Engineering Rourkela India

ISBN: (纸本)9798331529833

The efficient and appropriate power flow technologies are necessary for better performance of renewable energy system applications. The comparative study of different MPPT algorithms, which are best for RES applications due to their influence on efficiency, low response time and the stability under different intervals of irradiance and temperature. When comes to this context, the key focus is evaluation of algorithms to the converter which is bidirectional by considering the desired operational conditions. The observations of this study are a forward step to optimization of systems with bidirectional converters in improving the reliability and sustainability. © 2025 ieee.

关键词： Artificial Neural Network (ANN) Bidirectional DC-DC Converter Fuzzy Logic Control (FLC) Maximum Power Point Tracking (MPPT) Perturb and Observe (P&O) Photovoltaic (PV) Pulse Width Modulation (PWM) Renewable Energy Systems (RES)

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Analysis of Energy Potential of Micro Wind Turbines at Three Locations in the Central-Eastern Part of the Bulgarian Danube River Region 5

Analysis of Energy Potential of Micro Wind Turbines at Three...

引用

5th ieee international conference on Communications, Information, Electronic and Energy Systems, CIEES 2024

作者： Valov, Nikolay Gabrovska-Evstatieva, Katerina Stoyanov, Ivaylo Kaneva, Tsvetelina Kadirova, Seher Evstatiev, Boris Mihailov, Nicolay University of Ruse "Angel Kanchev" Dept. of Automation and Electronics Ruse Bulgaria University of Ruse "Angel Kanchev" Dept. of Computer Science Ruse Bulgaria University of Ruse "Angel Kanchev" Dept. of Electrical Power Engineering Ruse Bulgaria University of Ruse "Angel Kanchev" Dept. of Computer Systems and Technologies Ruse Bulgaria

ISBN: (纸本)9798350352863

The share of renewable energy sources in the energy mix worldwide is gradually increasing. And even though they all have a highly variable nature, they can be forecasted statistically. The wind energy potential was investigated in this article in the Bulgarian Danube region, located between Ruse and Silistra. Two years of meteorological data, including the wind speed at 10 m height and the ambient temperature was used to estimate the average wind energy for each month of the year at three geographic locations - Ruse, Staro Selo (near Tutrakan), and Calarasi, Romania (near Silistra). The results showed that Staro Selo has the highest energy potential, reaching up to 0.75 kWh/day/m2 in February, followed by Calarasi with 0.38 kWh/day/m2. The city of Ruse showed the lowest wind potential with the highest average monthly value reaching only 0.0027 kWh/day/m2. The obtained results showed that the regions around Tutrakan and Silistra are appropriate for the application of micro wind turbines. © 2024 ieee.

关键词： Windmill

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Real Time Web Traffic Forecasting Using LSTM and CNN

Real Time Web Traffic Forecasting Using LSTM and CNN

引用

2025 ieee international Students' conference on Electrical, Electronics and computer science, SCEECS 2025

作者： Kushwaha, Manveer Sangwan, Anamika Gupta, Keshav Sharda University Department of Computer Science and Engineering Greater Noida India

ISBN: (纸本)9798331529833

A Real-Time Web Traffic Forecasting System Using Hybrid LSTM and CNN Paper Development of the real-time web traffic forecasting system uses a hybrid approach combining LSTM with Conventional Neural Networks (CNN) to forecast website visitor counts and user engagement metrics for better resource and server scalability and in turn user experience. Methodology This entails the utilization of machine learning techniques in a time series forecasting context, as well as data preprocessing to truthfully make short-term forecasts. The results proved that the hybrid model performs better than the traditional statistical models like ARIMA, and this has significant impacts on dynamic management of resources. For optimized management of loads on the server, real-time traffic forecasting of web traffic is necessary. The system exploits both linear and non-linear relationships of data and, hence, makes for better short-term predictions than do conventional ARIMA techniques. This paper describes the design, implementation, and evaluation of the hybrid model with the objective of proving its superiority over the complex patterns of web traffic. The results have been much better in terms of prediction, reduced system downtime, and increased efficiency in operational functioning-land on a road to resource optimization and proactive infrastructure management. © 2025 ieee.

关键词： Prediction models

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Health Status Estimation of Aircraft Engines Based on Clustering and Bi-LSTM with Attention Mechanism 7

Health Status Estimation of Aircraft Engines Based on Cluste...

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7th international conference on Robotics, Control and automation engineering, RCAE 2024

作者： Zhou, Zihao Chen, Chuang Shi, Jiantao Yue, Dongdong Nanjing Tech University College of Electrical Engineering and Control Science Nanjing211816 China

ISBN: (纸本)9798350355642

Accurate health status estimation is one of the key technologies to ensure the safe operation of aircraft engines. To improve the accuracy of estimating the health status of aircraft engines, a health status estimation model based on clustering and bidirectional long short-term memory (Bi-LSTM) network with attention mechanism is proposed. On the one hand, attention mechanism is incorporated into the Bi-LSTM network to allow the model to dynamically focus on important information at different positions in the sequence when processing it, thereby improving the model's understanding ability of the sequence. On the other hand, fuzzy C-means (FCM) clustering algorithm is used to automatically partition the health status of multi-dimensional sensor signals in aircraft engines, to reduce the burden of manual labeling. Finally, the effectiveness and superiority of the proposed model are validated on the C-MAPSS public dataset. © 2024 ieee.

关键词： Electronic health record

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MTPA-based Haptic Feedback Controller for Master Manipulator in Minimally Invasive Surgery

MTPA-based Haptic Feedback Controller for Master Manipulator...

引用

2024 ieee international conference on Robotics and Biomimetics, ROBIO 2024

作者： Zhao, Wenda Chen, Jian Hong, Yilun Liu, Hongbin School of Artificial Intelligence University of Chinese Academy of Sciences Beijing China Institute of Automation Chinese Academy of Sciences State Key Laboratory of Multimodal Artificial Intelligence Systems Beijing China Hong Kong Institute of Science and Innovation Chinese Academy of Sciences Centre for Artificial Intelligence and Robotics Hong Kong Hong Kong School of Biomedical Engineering and Imaging Sciences King's College London LondonSE1 7EU United Kingdom

ISBN: (纸本)9781665481090

Haptic feedback is critical for teleoperation in surgical robots, particularly in Natural Orifice Transluminal Endoscopic Surgery (NOTES). This paper introduces a haptic controller designed to enhance force generation efficiency and resolution, surpassing traditional motor control frameworks. We propose a Maximum Torque Per Ampere (MTPA)-based Field-Oriented Control (FoC) strategy for haptic kinesthetic feedback controller, optimizing the performance of a master manipulator's joint with a brushless DC (BLDC) motor under stalled and ultra-slow conditions. This approach enables a master manipulator with three degrees of freedom (DoF) for force feedback. Its effectiveness is validated through simulator and surgical trials, demonstrating improved haptic feedback in surgical applications. © 2024 ieee.

关键词： Brushless DC motors

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Smart Environmental Monitoring System for Air and Water Quality Index

Smart Environmental Monitoring System for Air and Water Qual...

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2025 ieee international Students' conference on Electrical, Electronics and computer science, SCEECS 2025

作者： Tripathi, Ansh Dubry, Saransh Rama, P. Angayarkanni, V. Kalaivani, J. Srm Institute of Science and Technology Computing Technologies College of Engineering and Technology Faculty of Engineering and Technology TN Kattankulathur603203 India Srm Institute of Science and Technology Department of Computing Technologies College of Engineering and Technology Faculty of Engineering and Technology TN Kattankulathur603203 India Srm Institute of Science and Technology School of Computing College of Engineering and Technology Department of Computing Technologies Kattankulathur Chennai603203 India Srmist Kattankulathur Faculty of Engineering and Technology Department of Computing Technologies India

ISBN: (纸本)9798331529833

The quality of air and water is essential for human health, environmental sustainability, and ecosystem balance. However, pollution from industrial activities, urbanization, and agricultural practices has made effective environmental monitoring a global priority. Traditional monitoring methods, which rely on manual sampling and laboratory analysis, are often time-consuming and lack real-time capabilities. This paper presents a Smart Environmental Monitoring (SEM) system leveraging IoT and sensor technology to monitor air and water quality in real time using two key sensors: the MQ135 for Air Quality Index (AQI) and the pH sensor for Water Quality Index (WQI). By focusing on these two critical parameters, the SEM system offers a streamlined yet robust solution for assessing environmental quality. The system collects data continuously, transmits it to a cloud platform for processing, and employs machine learning algorithms to forecast future pollution trends. A user-friendly dashboard displays real-time AQI and WQI levels, historical trends, and predictive insights, empowering users to respond proactively to environmental risks. Deployment results demonstrate the SEM system's capability in detecting pollution patterns, identifying high-risk areas, and predicting pollution spikes during peak traffic and in industrial zones. Comparative analysis with traditional monitoring highlights the SEM system's superior accuracy, scalability, and predictive abilities. Although the SEM system has higher initial setup costs, its operational efficiency and long-term benefits in mitigating environmental risks make it a sustainable choice for public health and environmental management. © 2025 ieee.

关键词： Environmental monitoring

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