2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT)最新文献_第2页

Design and Simulation of Energy Efficient Routing Protocols for Underwater Wireless Sensor Networks 水下无线传感器网络节能路由协议的设计与仿真

2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT) Pub Date : 2021-09-15 DOI: 10.1109/icecct52121.2021.9616762

Charan Kumar A M, K. Nagamani

{"title":"Design and Simulation of Energy Efficient Routing Protocols for Underwater Wireless Sensor Networks","authors":"Charan Kumar A M, K. Nagamani","doi":"10.1109/icecct52121.2021.9616762","DOIUrl":"https://doi.org/10.1109/icecct52121.2021.9616762","url":null,"abstract":"In today’s world the Under-Water Sensor networks (UWSNs) are used for variety of applications. However, exchange of information in underwater is challenging hence it’s very much required to design a routing algorithm that increase overall Network lifetime and reduce energy consumption. The nodes are spread into multiple areas and then from each area the cluster head is chosen to perform inter cluster communication. There are several approaches in which cluster head can be selected either based on random probability or based on residual energy or by considering mobility-based factors, but they suffer from choosing a nonperforming resource as cluster head. In this work first cluster formation is optimized by making use of un-supervised k means machine learning algorithm, secondly selection of cluster head is done based on multiple parameters like distance with respect to Control Center node, residual energy and based on mobility factor of the nodes thereby having the optimized node as the cluster head election. Here the algorithm used are Depth Based routing (DBR), Depth and Energy Aware dominating set (DEADs), Region Based Courier-nodes Mobility with Incremental Cooperative (RBCMIC) and Modified RBCMIC. This paper simulates all four algorithms and checked which algorithm help in better energy efficiency. Simulation results also show comparison of all algorithms in terms of parameters like End-to-End delay, number of hops, Alive nodes, Dead nodes, Energy consumption, Lifetime ratio.","PeriodicalId":155129,"journal":{"name":"2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129243327","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

Optimal Bidirectional Long Short Term Memory Model for Medical Data Classification 面向医疗数据分类的最佳双向长短期记忆模型

2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT) Pub Date : 2021-09-15 DOI: 10.1109/icecct52121.2021.9616778

M. Raja, M. Parvees

{"title":"Optimal Bidirectional Long Short Term Memory Model for Medical Data Classification","authors":"M. Raja, M. Parvees","doi":"10.1109/icecct52121.2021.9616778","DOIUrl":"https://doi.org/10.1109/icecct52121.2021.9616778","url":null,"abstract":"In recent times, medical field is being generated a large amount of data and it is hard to examine the particular features of the data. Generally, medical data classification is employed for the transformation of the description of medical diagnosis or processes to a standard statistical code called clinic coding. The recent development of artificial intelligence (AI) techniques paves a way for effective medical data classification. In this aspect, this paper designs a new rain optimization algorithm (ROA) based on bidirectional long short term memory (BiLSTM), called ROA-BiLSTM model for medical data classification. The ROA-BiLSTM model aims to determine the existence of the diseases from the available medical data. The ROA-BiLSTM model involves a 3-stage process namely preprocessing, classification, and hyperparameter optimization. In addition, the BiLSTM based classification process is performed in which the hyperparameters are optimally modified by the use of ROA and thereby boosts the overall performance. A wide range of simulations was carried out on the benchmark dataset and the performance of the ROA-BiLSTM model is investigated under different aspects. The experimental results highlighted the betterment of the ROA-BiLSTM model over the other compared methods.","PeriodicalId":155129,"journal":{"name":"2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"329 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124299811","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

Automation solution for Software Testing of CAN based ECUs 基于CAN的ecu软件测试自动化解决方案

2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT) Pub Date : 2021-09-15 DOI: 10.1109/ICECCT52121.2021.9616902

Vaijayanti Gajul, Jitendra Mishra, Sarika Tavhare

{"title":"Automation solution for Software Testing of CAN based ECUs","authors":"Vaijayanti Gajul, Jitendra Mishra, Sarika Tavhare","doi":"10.1109/ICECCT52121.2021.9616902","DOIUrl":"https://doi.org/10.1109/ICECCT52121.2021.9616902","url":null,"abstract":"In contemporary vehicle electronics, ECUs are pre-eminent to effectuate the system and deliver the prolific features embedded within them. The paradigm shift to ECU technology has led to an increase in the complexity of the software that now has to render safety and diagnostic services along with functional solutions. Taking cognizance of this intricacy, the enhancement of testing methodologies to assess the behavior of Software has become of critical importance. This paper presents a method of automating the software testing of CAN-based products to verify its functional and diagnostic requirements in a hardware-in-loop environment using automation tool ECU-TEST.The objective of this paper is to demonstrate the development of components of test bench that are CAN-compatible relay board (test-board), the algorithm of test-board software, and the test cases scripted in ECU-TEST tool. ECU-TEST tool controls the complete data flow in the system. In this hardware-in-loop testing environment, ECU-TEST is responsible for providing inputs to the device under test, recording the behavior associated with it, and then analyzing this data to generate the test results.The utilization of this automation setup for software testing of a headlamp unit resulted in a decrease in the time required for testing from two days to one and a half-hour. This approach has minimized the testing time substantially, also providing certainty to deliver a better quality of software.","PeriodicalId":155129,"journal":{"name":"2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126255098","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 Bio-Intelligence Salp Swarm Algorithm for Maximum Power Point Tracking (MPPT) of Photovoltaic Systems Under Gradual Change in Irradiance Conditions 光照渐变条件下光伏系统最大功率点跟踪的混合生物智能Salp群算法

2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT) Pub Date : 2021-09-15 DOI: 10.1109/ICECCT52121.2021.9616622

Mohd Nasrul Izzani Jamaludin, Mohammad Faridun Naim bin Tajuddin, J. Ahmed, Thangaprakash Sengodan

{"title":"Hybrid Bio-Intelligence Salp Swarm Algorithm for Maximum Power Point Tracking (MPPT) of Photovoltaic Systems Under Gradual Change in Irradiance Conditions","authors":"Mohd Nasrul Izzani Jamaludin, Mohammad Faridun Naim bin Tajuddin, J. Ahmed, Thangaprakash Sengodan","doi":"10.1109/ICECCT52121.2021.9616622","DOIUrl":"https://doi.org/10.1109/ICECCT52121.2021.9616622","url":null,"abstract":"This paper presents the applications and hybridisation of metaheuristic optimisation of Salp Swarm Algorithm (SSA) with conventional algorithm Hill Climbing (HC) known as hybrid (SSA-HC). This new algorithm is proposed for improving the tracking efficiency of maximum power point tracking (MPPT) strategy during the gradual change of irradiance in Photovoltaic (PV) systems. The metaheuristic SSA successfully tracks the global maximum power point tracking (GMPP) during uniform and partial shading conditions (PSC) with fast-tracking but fails to track the GMPP during the gradual change of irradiance. Furthermore, while the conventional HC fails to track GMPP during PSC and slow tracking under uniform conditions, it always succeeds in tracking GMPP during gradual irradiance changes. The objective of combining metaheuristic SSA with conventional HC to propose a new hybrid SSA-HC algorithm that can deal with and adapt to extreme changing environments (PSC and gradual change irradiance) in PV systems. To prove the efficacy and performance of the algorithm, the proposed hybrid SSA-HC algorithm is compared with the SSA algorithm. The results show that the proposed hybrid SSA-HC algorithm outperforms the SSA algorithm in terms of MPPT efficiency (ηMPPT) by improving power output. By combining the advantages of the SSA and HC, the proposed algorithm can successfully detect the large and small changes in the power of the PV systems.","PeriodicalId":155129,"journal":{"name":"2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126555351","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

Classification of Capsule Endoscopy Images based on Feature Concatenation of Deep Neural Networks 基于深度神经网络特征拼接的胶囊内窥镜图像分类

2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT) Pub Date : 2021-09-15 DOI: 10.1109/icecct52121.2021.9616920

Shreya Biradher, A. P.

引用次数: 1

A Two Input Two Output Step Up Type Transformerless DC-DC Converter 一种双输入双输出升压式无变压器DC-DC变换器

2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT) Pub Date : 2021-09-15 DOI: 10.1109/ICECCT52121.2021.9616892

Sivaprasad Athikkal, Ravi Eswar Kodumur Meesala, Joseph Peter, Raman Kumar, Rahul Singh, Ajay Kumar

引用次数: 1

Identifying Fake Rice Using Computer Vision in Perspective of Bangladesh 用计算机视觉识别假大米——以孟加拉国为例

2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT) Pub Date : 2021-09-15 DOI: 10.1109/icecct52121.2021.9616715

Md. Asif Mahmud Ridoy, Md. Fahim Sarker, S. Datta, A. Sattar

引用次数: 0

Voltage Harmonics-Based Islanding Detection for Grid-Tied Photovoltaic Systems 基于电压谐波的并网光伏系统孤岛检测

2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT) Pub Date : 2021-09-15 DOI: 10.1109/icecct52121.2021.9616663

Fossy Mary Chacko, Jayan M. V., P. A.

{"title":"Voltage Harmonics-Based Islanding Detection for Grid-Tied Photovoltaic Systems","authors":"Fossy Mary Chacko, Jayan M. V., P. A.","doi":"10.1109/icecct52121.2021.9616663","DOIUrl":"https://doi.org/10.1109/icecct52121.2021.9616663","url":null,"abstract":"Renewable energy sources (RES) are pollution free, inexhaustible as well as sustainable and their penetration is proliferating globally. Among the RES, solar photovoltaic (PV) systems possess key advantages like the absence of fuel cost, modular and static structure, longer life with reduced maintenance, and high power capability. Grid-tied PV systems have become prevalent due to the benefit of extremely effectual utilization of produced power. However, the grid integration of solar PV systems creates issues like voltage, frequency fluctuations, harmonic distortion and islanding. Islanding is a paramount issue in grid-tied PV systems, in which a part of the utility system, that encompasses both distributed generation sources and loads, remains energized while disconnected from the rest of the utility system. In an attempt to maintain the quality of delivered power as well as assure the safety of personnel and equipment, the solar PV inverters must be able to detect and prevent islanding. Hence, this paper investigates the efficacy of voltage harmonics-based islanding detection as a simple and low cost technique of implementing islanding protection for grid-tied PV systems. The dynamic performance of the suggested strategy is investigated for a 25 kW grid integrated PV system under islanding conditions utilizing the MATLAB/Simulink platform. The simulation results demonstrate that the voltage harmonics-based islanding detection scheme offers the advantages of fast response with smaller non-detection zone and no degradation of system stability and power quality compared to other state-of-the-art methods. The suggested strategy provides reliable islanding protection even in the presence of high Q-factor loads and during conditions of load and PV generation reactive power balance.","PeriodicalId":155129,"journal":{"name":"2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"156 46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130460506","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

Performance Analysis of SSD and Faster RCNN Multi-class Object Detection Model for Autonomous Driving Vehicle Research Using CARLA Simulator 基于CARLA模拟器的SSD和Faster RCNN多类目标检测模型的性能分析

2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT) Pub Date : 2021-09-15 DOI: 10.1109/icecct52121.2021.9616712

D.R. Niranjan, B. Vinaykarthik, Mohana

{"title":"Performance Analysis of SSD and Faster RCNN Multi-class Object Detection Model for Autonomous Driving Vehicle Research Using CARLA Simulator","authors":"D.R. Niranjan, B. Vinaykarthik, Mohana","doi":"10.1109/icecct52121.2021.9616712","DOIUrl":"https://doi.org/10.1109/icecct52121.2021.9616712","url":null,"abstract":"Autonomous vehicle research has grown exponentially over the years with researchers working on different object detection algorithms to realize safe and competent self-driving systems while legal authorities are simultaneously looking into the ways of mitigating the risks posed by fully autonomous vehicles. These advancements can result in a much safer commuting environment, reduced accidents and also eliminate the necessity for human driving. Recent developments in the field show that object detection models combined with an on-vehicle camera module provides more robustness and accuracy than other methods such as LiDAR or RADAR. This paper proposes two object detection algorithms, SSD and Faster RCNN for autonomous driving applications through various performance parameters. CARLA Simulator was used to generate synthetic data to train and test the models. Results shows that that Faster-RCNN was found to have a mean Average Precision (mAP) value of 94.32% while SSD has a mAP of 88.998%. However, SSD had a speed of 30 ms/image while Faster-RCNN had a speed of 106 ms/image. Taking into consideration the real-time and speed constraints in autonomous driving, it was inferred that the SSD algorithm is much better suited for this problem as the difference in accuracy between the models was relatively lesser compared to the difference in computation speeds.","PeriodicalId":155129,"journal":{"name":"2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127613578","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: 4

Abstractive Text Summarizer: A Comparative Study on Dot Product Attention and Cosine Similarity 抽象文本摘要器:点积注意力与余弦相似度的比较研究

2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT) Pub Date : 2021-09-15 DOI: 10.1109/icecct52121.2021.9616710

K. S, Naveen L, A. Raj, R. S, A. S

{"title":"Abstractive Text Summarizer: A Comparative Study on Dot Product Attention and Cosine Similarity","authors":"K. S, Naveen L, A. Raj, R. S, A. S","doi":"10.1109/icecct52121.2021.9616710","DOIUrl":"https://doi.org/10.1109/icecct52121.2021.9616710","url":null,"abstract":"Text summarization is the process of extracting a subset of the document in such a way that the idea conveyed by the passage is understood while omitting peripheral details which do not have any impact on the passage. The aim of this work is to design an abstractive text summarizer using natural language processing that takes as input a newspaper article and provide a summary on that article in about 100 words. The model is designed using a Sequence to Sequence architecture coupled with an attention mechanism so that the model learns to pay attention to important words rather than trying to remember all of them. The model is trained using a dataset containing newspaper articles and their summaries provided by Kaggle. Pre-trained models such as BERT and T5 are also used to generate summaries and evaluate the performance of the proposed model against the pre-trained models. The three models such as Seq-Seq, BERT and T5 are evaluated on four datasets such as BBC-News-Dataset, Amazon food reviews, News-summary and NewsRoom datasets. Their rouge scores are analysed to select the ideal algorithm for summarization. The attention mechanism is customised to use cosine similarity instead of dot product. Cosine similarity is found to work better in the case of short summaries while dot product is found to work better for long summaries.","PeriodicalId":155129,"journal":{"name":"2021 Fourth International Conference on Electrical, Computer and Communication Technologies (ICECCT)","volume":"487 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132830114","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: 3