2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON)最新文献_第10页

Load Altering Attacks- a Review of Impact and Mitigation Strategies 负载改变攻击-影响和缓解策略回顾

2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON) Pub Date : 2023-05-01 DOI: 10.1109/REEDCON57544.2023.10150456

M. Mahrukh, M. Thomas

{"title":"Load Altering Attacks- a Review of Impact and Mitigation Strategies","authors":"M. Mahrukh, M. Thomas","doi":"10.1109/REEDCON57544.2023.10150456","DOIUrl":"https://doi.org/10.1109/REEDCON57544.2023.10150456","url":null,"abstract":"Power Systems are the backbone of the economic activities and security of modern-day society. Simultaneously the size and complexity of the systems go on increasing at a rapid pace as the requirement for continuous and reliable power supply increases. With the ongoing modernization leading from the large-scale integration of operation and information technologies (OT and IT), power systems are becoming smarter and simultaneously prone to cyberattacks and their frequency of occurrence is on the rise. Malicious cyberattacks on the power system impose huge societal risks. Timely mitigation of these attacks thus becoming a necessity for reliably operating the power system. Load Altering Attacks (LAAs) are an important category of cyberattacks in power systems that tend to increase load abruptly with the motive of damaging the system and causing various losses to the whole society. This work gives a thorough review of load altering attacks, the various types, that can be launched against a power system, and then their mitigation techniques presented in various works of literature.","PeriodicalId":429116,"journal":{"name":"2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134553938","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

2D to 3D Floor plan Modeling using Image Processing and Augmented Reality 2D到3D平面图建模使用图像处理和增强现实

2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON) Pub Date : 2023-05-01 DOI: 10.1109/REEDCON57544.2023.10151165

Pradnya Deshmukh, Srushti Kulkarni, Denzil Samuel, Jayesh Mishra, L. Sankpal, Chaitanya Kulkarni, Prasad Kulkarni

{"title":"2D to 3D Floor plan Modeling using Image Processing and Augmented Reality","authors":"Pradnya Deshmukh, Srushti Kulkarni, Denzil Samuel, Jayesh Mishra, L. Sankpal, Chaitanya Kulkarni, Prasad Kulkarni","doi":"10.1109/REEDCON57544.2023.10151165","DOIUrl":"https://doi.org/10.1109/REEDCON57544.2023.10151165","url":null,"abstract":"This paper introduces a novel technique for transforming 2D floor plans into 3D models by combining image processing and augmented reality. The method involves using a smartphone camera to scan a 2D blueprint, followed by extracting the layout and dimensions of the area using computer vision algorithms. Augmented reality techniques are then applied to generate a 3D model that can be manipulated and navigated in real-time. The effectiveness and efficiency of the approach were evaluated using real-world floor plans, and the results were promising. The method has the potential to revolutionize the way architects and designers produce and present floor plans, providing a more immersive and interactive experience that can improve communication and collaboration among design teams. Clients can also benefit from this approach as it can assist them in comprehending and visualizing their designs. Furthermore, the approach can be used in other domains, such as virtual staging for real estate or in virtual reality training simulations for emergency responders. Overall, this pioneering approach has the potential to significantly impact various industries and can pave the way for future advancements in the field of 3D modeling and augmented reality.","PeriodicalId":429116,"journal":{"name":"2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON)","volume":"411 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134302292","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

Electroencephalogram Channel Selection using Deep Q-Network 基于深度q -网络的脑电图通道选择

2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON) Pub Date : 2023-05-01 DOI: 10.1109/REEDCON57544.2023.10151281

Abdullah, I. Faye, Md Rafiqul Islam

引用次数: 0

Optimizing the charging cost of a battery swapping station using the genetic algorithm 利用遗传算法优化换电池站的充电成本

2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON) Pub Date : 2023-05-01 DOI: 10.1109/REEDCON57544.2023.10150698

H. Fatima, Mir Tabish Altaf, M. Jamil

引用次数: 0

Modelling and Analysis Of flexible manipulator: Soft robotics 柔性机械臂的建模与分析:软机器人

2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON) Pub Date : 2023-05-01 DOI: 10.1109/REEDCON57544.2023.10151027

Aditi Saxena, J. Kumar, V. Deolia

{"title":"Modelling and Analysis Of flexible manipulator: Soft robotics","authors":"Aditi Saxena, J. Kumar, V. Deolia","doi":"10.1109/REEDCON57544.2023.10151027","DOIUrl":"https://doi.org/10.1109/REEDCON57544.2023.10151027","url":null,"abstract":"In contrast to conventional rigid-linked robots, soft robotic manipulators can assume a variety of complex morphologies in response to control inputs and gravitational loads. This paper presents a novel technique for modelling flexible robotic manipulators using inverse dynamics. This study provides mathematical modelling of a manipulator robot’s kinematic and dynamic behavior under the influence of nonlinear material properties and a distributed mass payload. The kinematic model is used to develop a control strategy that optimizes the robot’s kinematic performance. The dynamic model takes into account the robot’s pace. The static model, on the other hand, allows for autonomous trajectory tracking in specific situations. In addition, the Simulation of the proposed treatment parallels the evolution of control systems. In this paper, a concise analysis of soft robotics and research in the direction of modelling a flexible manipulator are presented, along with a performance comparison between link 1 and link 2 under varying parameter conditions. Experiments are performed to test the validity of hypotheses","PeriodicalId":429116,"journal":{"name":"2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125824036","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 Hybrid Approach Based on Principal Component Analysis and Convolution Neural Network For Power Theft Detection 基于主成分分析和卷积神经网络的窃电检测混合方法

2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON) Pub Date : 2023-05-01 DOI: 10.1109/REEDCON57544.2023.10150839

A. Mazid, M. Manaullah, S. Kirmani

{"title":"A Hybrid Approach Based on Principal Component Analysis and Convolution Neural Network For Power Theft Detection","authors":"A. Mazid, M. Manaullah, S. Kirmani","doi":"10.1109/REEDCON57544.2023.10150839","DOIUrl":"https://doi.org/10.1109/REEDCON57544.2023.10150839","url":null,"abstract":"Power theft is a persistent problem faced by electricity supply companies, leading to non-technical losses that can negatively impact the quality of electricity as well as profits. The emergence of advanced metering infrastructure (AMI) has presented a new opportunity to detect power theft using data from smart meters. In this study, we propose a hybrid approach that combines principal component analysis (PCA) and deep convolution neural network (CNN) to identify power theft and improve electricity monitoring. Our proposed technique involves three stages, namely feature selection, extraction, and classification, which are applied to smart meter data to assist energy supplier companies. The CNN is responsible for classifying the extracted features into either theft or non-theft categories, with optimized hyperparameters that enhance the accuracy of the model. The CNN-PCA method proposed in this study achieves a high accuracy rate of 94.76%, outperforming previous approaches. The models generated from this research exhibit high accuracy and low error rates in extensive simulations, making them a valuable tool for power supply companies to combat power theft.","PeriodicalId":429116,"journal":{"name":"2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125936566","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 Review of the Optimal Allocation of Electric Vehicle Charging Stations 电动汽车充电站优化配置研究进展

2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON) Pub Date : 2023-05-01 DOI: 10.1109/REEDCON57544.2023.10151058

Rassiya Massarat, M. Thomas

引用次数: 0

Development and Analysis of IoT based Smart Agriculture System for Heterogenous Nodes 基于物联网的异构节点智慧农业系统开发与分析

2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON) Pub Date : 2023-05-01 DOI: 10.1109/REEDCON57544.2023.10150466

Sandeep Bhatia, Z. Jaffery, S. Mehfuz

{"title":"Development and Analysis of IoT based Smart Agriculture System for Heterogenous Nodes","authors":"Sandeep Bhatia, Z. Jaffery, S. Mehfuz","doi":"10.1109/REEDCON57544.2023.10150466","DOIUrl":"https://doi.org/10.1109/REEDCON57544.2023.10150466","url":null,"abstract":"The Internet of Things (IoT) integration with wireless sensor networks (WSNs) used in various applications like smart cities, smart transportation, smart agriculture and real-time monitoring of industrial activities. The application of IoT-WSN is increasing day by day for different applications. For optimization of the crop quality various sensor nodes equipped with specific sensors like Soil, Temperature and Humidity sensor, Ultrasonic sensor to get signal about vertical growth of crop, Co2 sensor are randomly distributed across agriculture land. But, conventional WSN nodes have limited amount of energy that exist in sensor nodes. Recharging and replacement of the batteries at the sensor nodes becomes a difficult task. Heterogeneous sensor nodes placement provides many possibilities because of their sensing range and diverse computing power. The sensor node deployment, network connectivity, power consumption, coverage area and network lifetime are the primary issues in WSNs which need to be addressed. So, in this paper, our primary objective is to use intelligent deployment strategy for sensor node placement in IoT-WSN enabled smart agriculture (I-WSA) by using analytical algorithm like Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) to minimize energy depletion of sensor nodes to prolong network lifetime using direct routing protocol and multi-hop routing protocol. Experimental results depict that the network lifetime can be increased up to an average of 140-150%. In the paper there is a comparison of GA and PSO. The benefit of heterogeneous networks has been explored in our paper through experimental results.","PeriodicalId":429116,"journal":{"name":"2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131262621","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: 2

Hybrid RNN-based classification of Obstructive Sleep Apnea using single-lead ECG Signals 基于混合rnn的单导联心电信号阻塞性睡眠呼吸暂停分类

2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON) Pub Date : 2023-05-01 DOI: 10.1109/REEDCON57544.2023.10151178

Prashant Hemrajani, V. Dhaka, Geeta Rani

{"title":"Hybrid RNN-based classification of Obstructive Sleep Apnea using single-lead ECG Signals","authors":"Prashant Hemrajani, V. Dhaka, Geeta Rani","doi":"10.1109/REEDCON57544.2023.10151178","DOIUrl":"https://doi.org/10.1109/REEDCON57544.2023.10151178","url":null,"abstract":"Respiratory sleep disorders affect millions of people, with Obstructive Sleep Apnea being one of the most prevalent. Obstructive Sleep Apnea sufferers are often unaware of their illness, causing cardiovascular and neurological problems. Relaxation of the muscles that support the tongue and soft palate causes Obstructive Sleep Apnea. When these muscles relax, the patient’s airway constricts or closes, resulting in a brief cessation of breathing. Polysomnography is one of the tests used to diagnose Obstructive Sleep Apnea. While the patient is sleeping, they will be attached to technology that will monitor their heart, lungs, and brain activity, as well as their breathing patterns, leg movement, arm movement, and blood oxygen levels. Despite attempts to breathe, polysomnography reveals repeated instances of breathing delays. The majority of patients are untreated due to the difficulties caused in performing polysomnography. Using algorithms for machine learning, a number of researchers devised a variety of solutions to this issue. In the proposed work, detection of Obstructive Sleep Apnea was done by the integration of Long-Short Term Memory (LSTM) and the Gated Recurrent Unit (GRU) method. In order to validate the model, the suggested procedures made use of real-life clinical examples taken from the PhysioNet Apnea-ECG database, using thirty-five overnight sessions for Hybrid RNN (LSTM + GRU) attains 89.5% accuracy, 89.6% sensitivity, and 90.2 % percent specificity, demonstrating the efficacy of the presented method.","PeriodicalId":429116,"journal":{"name":"2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128115927","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

DNS Traffic Monitoring to Access Vulnerability in the Internet of Healthcare Things Networks: A Survey 医疗物联网中DNS流量监控访问漏洞的研究

2023 International Conference on Recent Advances in Electrical, Electronics & Digital Healthcare Technologies (REEDCON) Pub Date : 2023-05-01 DOI: 10.1109/REEDCON57544.2023.10150996

Mehwash Weqar, S. Mehfuz, Dhawal Gupta

引用次数: 0