2023 IEEE Region 10 Symposium (TENSYMP)最新文献_第4页

UAV Image Clustering Detection of Floating Objects on Floods using Hybrid Firefly Algorithm and Particle Swarm Optimization 基于混合萤火虫算法和粒子群算法的无人机图像聚类检测

2023 IEEE Region 10 Symposium (TENSYMP) Pub Date : 2023-09-06 DOI: 10.1109/TENSYMP55890.2023.10223645

Marck Herzon C. Barrion, A. Bandala

引用次数: 0

A Probabilistic Framework for Network Security in Matchmaking-Based P2P Energy Trading 基于配对的P2P能源交易网络安全的概率框架

2023 IEEE Region 10 Symposium (TENSYMP) Pub Date : 2023-09-06 DOI: 10.1109/TENSYMP55890.2023.10223680

Ren Zedec S. Santos, J. Orillaza

{"title":"A Probabilistic Framework for Network Security in Matchmaking-Based P2P Energy Trading","authors":"Ren Zedec S. Santos, J. Orillaza","doi":"10.1109/TENSYMP55890.2023.10223680","DOIUrl":"https://doi.org/10.1109/TENSYMP55890.2023.10223680","url":null,"abstract":"This study focuses on the development of a peer-to-peer (P2P) energy trading system through matchmaking in distribution systems. A probabilistic framework is used to ensure network security and mitigate computational difficulties and the volatility associated with real-time energy trading. The system employs a community manager who facilitates the matchmaking process by creating a filtered list of users for potential matches. To ensure network security, the likelihood of each user causing a voltage violation is pre-calculated. The study also explores the concept of acceptance level and generation limit, which helps curtail users who may potentially cause network violations. Simulation cases are conducted on a 30-node test system, evaluating the performance of the matchmaking system and analyzing user benefits. The results demonstrate the effectiveness of the regulated matchmaking approach in securing the network and determining the optimal cut-off acceptance level. The research highlights the trade-off between user benefits and network security, showing that the regulated approach maintains significant user benefits while ensuring network security. The proposed P2P energy trading system provides a solution for efficient and secure energy transactions in distribution systems.","PeriodicalId":314726,"journal":{"name":"2023 IEEE Region 10 Symposium (TENSYMP)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134013915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

State of Charge (SoC) Determination Through Extended Kalman Filter in Battery Management Systems 利用扩展卡尔曼滤波确定电池管理系统的荷电状态

2023 IEEE Region 10 Symposium (TENSYMP) Pub Date : 2023-09-06 DOI: 10.1109/TENSYMP55890.2023.10223676

Namrata Padalale, M. Sindhu

引用次数: 0

A Fault-Tolerant Design Strategy Utilizing Approximate Computing 基于近似计算的容错设计策略

2023 IEEE Region 10 Symposium (TENSYMP) Pub Date : 2023-09-06 DOI: 10.1109/TENSYMP55890.2023.10223663

P. Balasubramanian, D. Maskell

{"title":"A Fault-Tolerant Design Strategy Utilizing Approximate Computing","authors":"P. Balasubramanian, D. Maskell","doi":"10.1109/TENSYMP55890.2023.10223663","DOIUrl":"https://doi.org/10.1109/TENSYMP55890.2023.10223663","url":null,"abstract":"This paper presents a novel Fault-tolerant design i.e., redundancy strategy based on Approximate Computing, which we call FAC. Conventionally, triple modular redundancy (TMR) has been widely used to guarantee 100% tolerance to any single fault or failure of a processing unit where the processing unit may be a circuit or system. However, TMR results in more than 200% overhead in area and power compared to a single processing unit. To reduce the overheads in design metrics associated with TMR, alternative redundancy approaches were presented in the literature but they guarantee only partial or moderate fault tolerance. Nevertheless, among these alternative redundancy approaches, the majority voter-based reduced precision redundancy (MVRPR) may be useful for naturally error-resilient applications like digital signal processing which is commonly used in space systems. The proposed FAC is ideally suited for error-resilient applications but unlike MVRPR which guarantees only a moderate fault tolerance, FAC guarantees a 100% tolerance to any single fault or failure of a processing unit like TMR. We considered TMR, MVRPR, and FAC to comparatively evaluate their performance for a digital image processing application. The image processing results obtained demonstrate the usefulness of FAC. Further, for a physical implementation using a 28-nm CMOS technology, FAC achieves a 15.3% reduction in delay, 19.5% reduction in area, and a 24.7% reduction in power compared to TMR, and an 18% reduction in delay, 5.4% reduction in area, and 11.2% reduction in power compared to MVRPR.","PeriodicalId":314726,"journal":{"name":"2023 IEEE Region 10 Symposium (TENSYMP)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125814541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Optimal Energy Management of District Cooling System and Energy Storage Systems: A Case Study 区域供冷系统和储能系统的最佳能量管理:一个案例研究

2023 IEEE Region 10 Symposium (TENSYMP) Pub Date : 2023-09-06 DOI: 10.1109/TENSYMP55890.2023.10223617

Devesh Kumar, N. Pindoriya

{"title":"Optimal Energy Management of District Cooling System and Energy Storage Systems: A Case Study","authors":"Devesh Kumar, N. Pindoriya","doi":"10.1109/TENSYMP55890.2023.10223617","DOIUrl":"https://doi.org/10.1109/TENSYMP55890.2023.10223617","url":null,"abstract":"A district cooling system (DCS) consumes a significant amount of energy in any multi-vector energy system to maintain a set temperature and desired comfort level. As a result, having energy management strategies (EMSs) focusing on both operational optimization and optimal planning becomes obligatory to achieve a cost-effective DCS. The contribution of this work is twofold: (a) optimal planning of the battery energy storage system to be integrated with the DCS, which is already equipped with thermal energy storage. (b) co-optimization of the multi-chiller system within the DCS and energy storage systems conjoined with it. Both the optimization problems are formulated as bi-level and mixed-integer non-linear programs, respectively. The proposed EMSs offer near-configurability and selective decision-making that enables system operators to adopt any scheduling strategies. Finally, the developed formulations are realized with the DCS at the Gujarat International Finance-Tec City, i.e., a special economic zone as a test bench, thereby illustrating the efficacy of the proposed EMSs for the cost-effective operation of DCS and energy storage systems.","PeriodicalId":314726,"journal":{"name":"2023 IEEE Region 10 Symposium (TENSYMP)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127839472","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Single-Stage, High-Efficiency Bulk-Biased CMOS Rectifier for Wireless Bioelectronic Power Transfer Applications 一种用于无线生物电子功率传输应用的单级、高效率体偏CMOS整流器

2023 IEEE Region 10 Symposium (TENSYMP) Pub Date : 2023-09-06 DOI: 10.1109/TENSYMP55890.2023.10223655

Christian Miguel Pama, Angelito A. Silverio

引用次数: 0

YOLO-Based Terrain Classification for UAV Safe Landing Zone Detection 基于yolo的无人机安全着陆区探测地形分类

2023 IEEE Region 10 Symposium (TENSYMP) Pub Date : 2023-09-06 DOI: 10.1109/TENSYMP55890.2023.10223656

Kanny Krizzy D. Serrano, A. Bandala

{"title":"YOLO-Based Terrain Classification for UAV Safe Landing Zone Detection","authors":"Kanny Krizzy D. Serrano, A. Bandala","doi":"10.1109/TENSYMP55890.2023.10223656","DOIUrl":"https://doi.org/10.1109/TENSYMP55890.2023.10223656","url":null,"abstract":"Autonomous mobile robots such as Unmanned Aerial Vehicles (UAVs) must be capable of navigating safely in unknown and dynamic environments. In emergency situations such as hardware failure or loss of communication links, UAVs must be able to land safely in an area that is flat and free of obstacles. Currently, most UAVs make use of global positioning system (GPS) receivers during mission and navigation which allows Return-To-Home features for advanced UAVs in emergency scenarios such as signal loss or low battery. However, problems arise if the UAV operates in a heterogeneous environment with no GPS signal accessible. In these GPS-denied areas, it is important to determine the terrain of the environment where the UAV is located to locate a safe space to land. This paper utilizes deep learning algorithms in YOLO architecture including YOLOv5, YOLOv6, YOLOv7, and YOLOv8 to determine the type of terrains obtained from aerial images. Based on the simulations done, the most recently developed YOLOv8 obtained the highest mean average precision (mAP@0.5:0.95) of 89.1, and F1 score of 90.8. Meanwhile, the YOLOv5, YOLOv6, and YOLOv7 obtained mean average precision (mAP@0.5:0.95) of 69.5, 78.1, and 68.8, respectively, and F1 scores of 77.8, 84.9, 85.7, and 81.7, respectively. With these results, it can be confirmed that YOLOv8 outweighs the performance of the other YOLO architecture models in terms of the mAP and F1 scores in determining the terrain.","PeriodicalId":314726,"journal":{"name":"2023 IEEE Region 10 Symposium (TENSYMP)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122497316","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design and Development of 2-DOF Active Revolute Joint for Robot Actuation 机器人驱动二自由度主动转动关节的设计与研制

2023 IEEE Region 10 Symposium (TENSYMP) Pub Date : 2023-09-06 DOI: 10.1109/TENSYMP55890.2023.10223671

Riady Siswoyo Jo, Masuma Razahussein Sheraly

引用次数: 0

Facial Emotion Level Recognition Using CNN 基于CNN的面部情感水平识别

2023 IEEE Region 10 Symposium (TENSYMP) Pub Date : 2023-09-06 DOI: 10.1109/TENSYMP55890.2023.10223632

Varsha Singh, Laalasa Krishna, Lakshmi Gude, Lahari Challa, Praneeksha Jayam, Telu Akshay Kumar, G. N. Reddy, U. Tiwary

引用次数: 0

Enhancing IoT-Botnet Detection using Variational Auto-encoder and Cost-Sensitive Learning: A Deep Learning Approach for Imbalanced Datasets 使用变分自编码器和成本敏感学习增强物联网僵尸网络检测:一种针对不平衡数据集的深度学习方法

2023 IEEE Region 10 Symposium (TENSYMP) Pub Date : 2023-09-06 DOI: 10.1109/TENSYMP55890.2023.10223613

Hassan Wasswa, T. Lynar, H. Abbass

引用次数: 0