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18th IEEE International Conference on Advanced Networks and Telecommunications Systems, ANTS 2024

作者： Sanila, Kunnathully Sadanandan Rajamohan, Neelakandan Luleå University of Technology Department of Computer Science Electrical and Space Engineering Sweden Indian Institute of Technology School of Electrical Sciences Goa India

ISBN: (纸本)9798350391725

In this paper, we propose an intelligent reflecting surface (IRS)-assisted hybrid transmit-receive spatial modulation (HSM) for full-duplex (FD) multi-input multi-output communication, referred to as FD-IRS-HSM. In the proposed FD-IRS-HSM, the FD communication between two users is accomplished with a dedicated IRS for each user. In addition to the conventional data transfer, transmit and receive spatial modulations are simultaneously employed in the transmission by tuning the reflecting elements in the IRS. Further, we characterize the self-interference power, present the theoretical analysis for ergodic capacity and outage probability for the proposed system, and substantiate it with simulation results. We also compare the proposed FD-IRSHSM with closely related works in the literature and demonstrate the outperformance of our proposed system in terms of higher transmission rate and greater flexibility. © 2024 IEEE.

关键词： Signal modulation

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Real time Gesture Recognition using Improved YOLOv5 Model 11

Real time Gesture Recognition using Improved YOLOv5 Model

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11th IEEE International Conference on Signal Processing and Integrated Networks, SPIN 2024

作者： Biswas, Sougatamoy Nandy, Anup Naskar, Asim Kumar Saw, Rahul National Institute of Technology Rourkela Computer Science and Engineering Rourkela India National Institute of Technology Rourkela Electrical Engineering Rourkela India

ISBN: (纸本)9798350308433

Hand gesture recognition is part of the study of natural human-computer interaction. The objective of research in gesture recognition is to train computers to recognize and respond appropriately to human hand gestures. You Only Look Once (YOLO), is a deep learning model that is mostly used in the field of computer vision for real time object detection. YOLOv5 is an enhanced version of the YOLO algorithm, which is renowned for its fast and accurate object detection capabilities. This research paper explores the application of YOLOv5 architecture for real-Time gesture recognition. The efficient architecture of YOLOv5 is utilized to detect and classify real time human hand gestures accurately and rapidly. A fine-Tuned version of the YOLOv5 model is proposed that improves the performance of YOLOv5 with better results. Experimental performance shows that the proposed YOLOv5 model achieves a Mean average precision (mAP) value of 96.8% for real-Time performance on a custom dataset of hand gestures. We evaluate our method on a custom-made dataset that outperforms state-of-The-Art results. © 2024 IEEE.

关键词： Object detection

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A Data-Driven Real-Time Trajectory Planning and Control Methodology for UGVs Using LSTMRDNN

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IEEE/CAA Journal of Automatica Sinica 2024年第5期11卷 1292-1294页

作者： Kaiyuan Chen Runqi Chai Runda Zhang Zhida Xing Yuanqing Xia Guoping Liu Vanke School of Public Health Institute for Healthy ChinaTsinghua UniversityBeijing 100084 School of Automation Beijing Institute of TechnologyBeijing 100081 Department of Electronic and Electrical Engineering Southern University of Science and TechnologyShenzhen 518055China

Dear Editor,This letter presents a novel data-driven trajectory planning and control scheme for the unmanned ground vehicles(UGVs).A recent work[1]has demonstrated the effectiveness of approximating the optimal state ... 详细信息

关键词： LSTM UGV neural

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Transforming Electric Vehicle Navigation Strategies: An AI-Enhanced Framework for Achieving Superior Route Efficiency in Varied Conditions

Transforming Electric Vehicle Navigation Strategies: An AI-E...

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2024 International Conference on Advancement in Renewable Energy and Intelligent Systems, AREIS 2024

作者： Prakash, P. Anandha Radha, R. School of Electrical Engineering Vellore Institute of Technology Chennai India School of Computer Science and Engineering Vellore Institute of Technology Chennai India

ISBN: (纸本)9798350387230

Electric vehicles (EVs) are essential for environmentally friendly transportation, there are significant challenges in maximizing their routing in many scenarios. This paper explores advanced predictive analytics strategies aimed at enhancing electric vehicle routing in India. Electric vehicles (EVs) are essential to the progress of sustainable transportation;yet, there are significant challenges in optimizing EV routing in a range of challenging scenarios. This paper focuses on enhancing EV routing in the Indian setting, where varied road conditions, dynamic traffic patterns, and infrastructural constraints are common. We provide a sophisticated routing algorithm that accounts for these problems by including a traffic coefficient, which denotes a 50% increase in effective distance due to high traffic. This method makes use of this traffic coefficient to modify routing computations, guaranteeing more precise and useful route planning in practical situations. By dynamically adjusting to real-time traffic data, the system maximizes route efficiency and lowers EV operating costs. We describe the algorithm's implementation in detail and illustrate its efficacy with simulated results and case studies showing significant gains in routing accuracy. The suggested methodology bridges the gap between theoretical models and real-world implementations, providing insightful information to stakeholders in the Indian EV ecosystem. This work intends to promote EV infrastructure and routing efficiency in India by offering a strong foundation for EV route optimization, which will inform future research and policy-making in this crucial field. © 2024 IEEE.

关键词： charging optimization charging prediction Dijkistra Routing and comparative analysis electric vehicle routing Machine learning traffic prediction

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Development and Implementation of a Smart Aquarium Controller for Optimized Environmental Monitoring and Management 2

Development and Implementation of a Smart Aquarium Controlle...

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2nd International Conference on Cyber Physical Systems, Power Electronics and Electric Vehicles, ICPEEV 2024

作者： Mathav, Roopesh Madheshwaran Rithesh, Naga Ra, Nawin Kumba, Krishna School of Computer Science & Engineering Vellore Institute of Technology Chennai India School of Electrical Engineering Vellore Institute of Technology Chennai India

ISBN: (纸本)9798350388664

The proposed research aims to simplify the process of maintaining and monitoring aquariums. Automated operations like temperature, light, and water level monitoring can be performed using the Arduino NANO. The three primary functions of this work includes light control, water level monitoring, and temperature monitoring. A feature of Wi-Fi is remote control;the Wi-Fi module serves as a server and connects to the Arduino serial port and a computer via a local Wi-Fi network. Through the personalized website, you can monitor and control the Arduino. You may adjust the light and see the current water temperature and level through the interface. The LCD panel shows the percentage of water level and the temperature reading. The system can be extended to monitor carbon dioxide (CO2) levels in planted aquariums, which is crucial for plant health. Furthermore, ammonia and pH levels will be monitored to prevent harmful conditions for fish and other aquatic creatures. © 2024 IEEE.

关键词： Wi-Fi

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Releasing Residual Stress in Metal-Coated Fibers Through Heat Treatment Process for Distributed High-Temperature Sensing Applications

Releasing Residual Stress in Metal-Coated Fibers Through Hea...

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CLEO: science and Innovations in CLEO 2024, CLEO: S and I 2024 - Part of Conference on Lasers and Electro-Optics

作者： Dey, Koustav Saha, Rony Kumar Narasimman, S. Zhang, Bohong Mumtaz, Farhan O'Malley, Roanld J. Smith, Jeffrey D. Gerald, Rex E. Huang, Jie Department of Electrical and Computer Engineering Missouri University of Science and Technology RollaMO65409 United States Department of Material Science and Engineering Missouri University of Science and Technology RollaMO65409 United States

The study investigates a refined heat treatment methodology tailored for commercial metal-coated optical fibers, with the objective of accurately reducing residual stress to prime them for use in distributed sensing a... 详细信息

关键词： Optical fibers

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Adaptive Control Strategy for Primary Frequency Regulation of BESS in Wind Farm 9

Adaptive Control Strategy for Primary Frequency Regulation o...

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9th Asia Conference on Power and electrical engineering, ACPEE 2024

作者： Gu, Yichao Zhuang, Kai Zhang, Jimiao Xie, Jianfeng Chongqing University of Science and Technology School of Electrical Engineering Chongqing China Rowan University Department of Electrical and Computer Engineering Glassboro United States

ISBN: (纸本)9798350309638

This paper proposes a novel adaptive synthetic inertia (SI) control scheme for the battery energy storage system (BESS) in the wind farm. The proposed approach dynamically adjusts the amplitude of the direct current (DC) of the voltage source converter (VSC) in response to grid frequency disturbances. The unique feature of the proposed control is its ability to emulate droop and inertia in real time by adjusting parameter values according to the rate of change of frequency (RoCoF) and frequency deviation. Within the SI control, a first-order low-pass element is incorporated into the virtual inertia control to augment the system inertia. Its advantages and effectiveness are rigorously demonstrated on a modified IEEE benchmark system under load changes and wind speed fluctuations. © 2024 IEEE.

关键词： Battery storage

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Analyzing Standardized Inverse Time-Current Curve Types of Overcurrent Relays for Efficient Overcurrent Protection in Distribution Networks 47

Analyzing Standardized Inverse Time-Current Curve Types of O...

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47th ICT and Electronics Convention, MIPRO 2024

作者： Rojnić, Michele Prenc, Rene Dubravac, Marina Šimić, Zvonimir University Of Rijeka Faculty Of Engineering Croatia University Of Osijek Faculty Of Electrical Engineering Computer Science And Information Technology Croatia

ISBN: (纸本)9798350382495

The selection of the appropriate curve type of overcurrent relay function is significant for achieving optimal coordination of overcurrent protection in distribution networks. In this study, we conducted a comprehensive analysis of the overcurrent relays performance regarding their different inverse time-current curve types. Additionally, different fault locations were taken into consideration. To investigate the impact of curve types on overcurrent relays coordination, we employed a uniform curve type for all overcurrent relays in two representative power systems. The results, encompassing three standardized IEC curve types, are presented, and analyzed to illustrate the efficacy of our proposed approach. Therefore, this study underscores the critical role that curve type selection has in determining the feasibility of attaining reasonably low overcurrent relay trip times. © 2024 IEEE.

关键词： Relay protection

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Color Tracking Application Using AI-Based Docker Container Scheduling in Fog Computing 13th

Color Tracking Application Using AI-Based Docker Container S...

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13th International Conference on Image Processing and Communications, IP and C 2023, 13th International Conference on computer Recognition Systems, CORES 2023

作者： Chrobak, Rafal Galán, Sebastián García Expósito, Enrique Munoz Ibanez, Manuel Valverde Marciniak, Tomasz Marchewka, Adam Faculty of Telecommunications Computer Science and Electrical Engineering Bydgoszcz University of Science and Technology Bydgoszcz Poland Spain

ISBN: (纸本)9783031416293

This paper presents the real implementation of a fog computing environment for the execution of color tracking applications by using FogBus2 framework and an artificial intelligence based docker container scheduling. To be precise, an edge computing network has been developed by using a personal computer and several small computing devices such as Raspberry Pi and Nvidia Jetson Nano. Related to the scheduling policy, besides the existing policies in Fogbus2 framework, another one based on fuzzy rules-based system has been designed. Results demonstrate the proposed policy outperforms classical approaches, even when using, pavin the way to the use of knowledge acquisition techniques in order to improve the scheduling performance in terms of makespan and flowtime. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Containers

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An Entorhinal-Hippocampal Loop Model Based on Non-negative Sparse Coding

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Journal of The Institution of Engineers (India): Series B 2025年第1期106卷 113-127页

作者： Zhao, Kaixin Ren, Menghui College of Computer Science and Technology Henan Institute of Technology Xinxiang453003 China School of Electrical and Information Engineering Zhengzhou University Zhengzhou450001 China Manufacturing IoT Big Data Engineering Technology Research Center of Henan Province Xinxiang453003 China

In our study, we investigate how the brain maps environmental spaces into understandable maps through hippocampal place cells and entorhinal cortex grid cells. We uncover that the hippocampus and entorhinal cortex are not just directly connected but also engage in a sophisticated feedback loop crucial for spatial encoding during navigation. We developed an innovative network model based on this feedback mechanism, linking entorhinal inputs to hippocampal spatial encoding cells through a non-negative sparse coding, using grid cells and weak spatial cells as inputs. Our findings demonstrate that the model learns and adjusts the characteristics of spatial encoding cells, successfully learning the specific spatial selectivities of place cells even with inputs from cells carrying weaker spatial information. This highlights the critical role of feedback encoding in refining spatial representations, an indispensable component of the brain’s navigation system. Moreover, experiments comparing our model with others validate our model’s exceptional ability in generating precise spatial encodings, underscoring its superiority. This research not only deepens our understanding of the brain’s navigational mechanisms but also offers a robust computational framework for future neuroscience studies, emphasizing the intricate interplay between feedback loops and spatial encoding in the brain’s navigation system. © The Institution of Engineers (India) 2024.

关键词： Brain

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