2023 8th International Conference on Communication and Electronics Systems (ICCES)最新文献_第9页

FPGA based Power-Efficient Convolutional Neural Network 基于FPGA的节能卷积神经网络

2023 8th International Conference on Communication and Electronics Systems (ICCES) Pub Date : 2023-06-01 DOI: 10.1109/ICCES57224.2023.10192650

N. L. Venkataraman, S. Sumithra, Dr. Suresh Kumar, R. Purushothaman, K. Kukulavani, V. Gowri

{"title":"FPGA based Power-Efficient Convolutional Neural Network","authors":"N. L. Venkataraman, S. Sumithra, Dr. Suresh Kumar, R. Purushothaman, K. Kukulavani, V. Gowri","doi":"10.1109/ICCES57224.2023.10192650","DOIUrl":"https://doi.org/10.1109/ICCES57224.2023.10192650","url":null,"abstract":"Research into GPU (Graphics Processing Unit) acceleration using programmable logic arrays has mostly focused on Convolutional Neural Networks. These studies demonstrate the effectiveness of CNNs in various technical vision tasks, such as feature extraction, image analysis, face identification, and rear cross-traffic alert, amongst many others. As a result, there are restrictions on the times in which the CNN model can be implemented on FPGA, such as the restrictions on the quantity of on-chip memory, the dimensions of the CNN, and the parameters of the model. This work suggests a television commercial and an advanced CNN prototype informed by the basic AlexNet prototype. The proposed architecture uses a Commercial engine, an improved version of the insight separates, and a distinct permutation unit. In addition, the designers provide a GPU integration model that supports the Mish and Rectified linear initiation characteristics. The suggested method has a comparatively high detection accuracy while consuming a relatively little amount of the computer system's resources in contrast to other methods considered to be state-of-the-art. This proposed system is design in RTL Verilog Hardware description language. The proposed system is implemented in Xilinx ISE Design Suite-13.1 for use on Spartan -6 (Target Device). The synthesis tool optimized speed, area, and power.","PeriodicalId":442189,"journal":{"name":"2023 8th International Conference on Communication and Electronics Systems (ICCES)","volume":"525 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127628738","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

Vigilance Monitoring for Safer Driving and Passenger Protection using ML 基于机器学习的安全驾驶和乘客保护警惕性监测

2023 8th International Conference on Communication and Electronics Systems (ICCES) Pub Date : 2023-06-01 DOI: 10.1109/ICCES57224.2023.10192874

Anshu Gupta, Harsh Vardhan, Shivani, Rimjhim, Sanya Singh, Sakshi Khandelwal

{"title":"Vigilance Monitoring for Safer Driving and Passenger Protection using ML","authors":"Anshu Gupta, Harsh Vardhan, Shivani, Rimjhim, Sanya Singh, Sakshi Khandelwal","doi":"10.1109/ICCES57224.2023.10192874","DOIUrl":"https://doi.org/10.1109/ICCES57224.2023.10192874","url":null,"abstract":"The main element to be considered before driving is vigilance because failing to do so could endanger safety. According to the Royal Society for the Prevention of Accidents (ROSPA), close to 20% of all traffic accidents are the result of drowsy driving, which is in line with a WHO report that estimates that 1.3 million people die annually because of road accidents. The passengers’ safety is equally vital to the drivers; however, in today's online taxi and cab systems, passengers have no idea whether or not the cab they are in is safe, in terms of the driver's alert and vigilant state, or it may put them in danger. If the passenger is unaware of the driver's condition while driving, they put themselves at risk. Yet, many drivers operate their vehicles continuously without stopping, leaving the passenger in the dark about his level of attention while driving. Nonetheless, for a long time, many people have been researching drowsiness detecting systems. In many earlier research works, algorithms, particular factors, and various machine learning models are created to provide the best and most accurate results. This research will be comparing various algorithms and models developed and inherited from earlier works to determine which algorithm can perform better in each situation. These factors include face detection, face landmark predictor, which includes eye aspect ratio calculation, and the investigation of whether the driver is lethargic, making use of an alarm system that will sound to inform both the driver and the passenger to the driver's level of alertness or drowsiness that could help the passenger decide whether it is safe to continue the ride or to halt it and find another.","PeriodicalId":442189,"journal":{"name":"2023 8th International Conference on Communication and Electronics Systems (ICCES)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130436761","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 Novel Approach for Crop Yield Prediction based on Hybrid Deep Learning Approach 一种基于混合深度学习的作物产量预测新方法

2023 8th International Conference on Communication and Electronics Systems (ICCES) Pub Date : 2023-06-01 DOI: 10.1109/ICCES57224.2023.10192652

B. S. Rao, P. Priya, Seemantini Nadiger, S. Rout, Khushal N. Pathade, Kamlesh Singh

{"title":"A Novel Approach for Crop Yield Prediction based on Hybrid Deep Learning Approach","authors":"B. S. Rao, P. Priya, Seemantini Nadiger, S. Rout, Khushal N. Pathade, Kamlesh Singh","doi":"10.1109/ICCES57224.2023.10192652","DOIUrl":"https://doi.org/10.1109/ICCES57224.2023.10192652","url":null,"abstract":"The agricultural sector is crucial to the economic development of our country. Civilization's birth was facilitated by agricultural practices. The agricultural sector is vital to India's economy because of the country's status as an agrarian nation. So, agriculture has the potential to serve as the economic foundation of our nation. In agriculture planning, crop selection is crucial. Our Indian economy desperately needs widespread reforms in the agricultural sector. In this proposed approach to use several machine learning methods to forecast future agricultural yields. After receiving the input image, the null values can be filtered out using the preprocessing approach. The Relief method is then used to choose features. In order to extract features, a linear discriminant analysis approach is used. Finally, the CNN-BiLSTM-ECA model, which combines a CNN, a Bidirectional Long Short-Term Memory network, and an Attention Mechanism, is presented for use in training (AM). To reduce the impact of excessive noise and nonlinearity, CNN has been used to extract deep aspects of agricultural productivity. Crop yield is predicted using a BiLSTM network trained on the recovered deep characteristics. This proposed also implement an unique Efficient Channel Attention (ECA) module to increase the network model's sensitivity to key features and inputs. The average error made by each method is compared to one another. Farmers will be able to use the CNN-BiLSTM-ECA forecast to guide their planting decisions by taking into account variables like expected temperatures, precipitation, available land, and more.","PeriodicalId":442189,"journal":{"name":"2023 8th International Conference on Communication and Electronics Systems (ICCES)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130764117","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

Machine Learning Approach for a Novel Facial Recognition System 一种新型人脸识别系统的机器学习方法

2023 8th International Conference on Communication and Electronics Systems (ICCES) Pub Date : 2023-06-01 DOI: 10.1109/ICCES57224.2023.10192743

B. S, Abdul Kareem, Varuna Kumara

引用次数: 0

Comparative Analysis of Frequency Shift Keying (FSK) and Gaussian Frequency Shift Keying (GFSK) Modulation Techniques over an AWGN Channel in MATLAB AWGN信道上移频键控(FSK)和高斯移频键控(GFSK)调制技术的MATLAB对比分析

2023 8th International Conference on Communication and Electronics Systems (ICCES) Pub Date : 2023-06-01 DOI: 10.1109/ICCES57224.2023.10192735

Meenakshi Bhardwaj, Naresh Kumar

引用次数: 0

Deep Learning for Attack Detection in Industrial IoT Edge Devices 深度学习用于工业物联网边缘设备的攻击检测

2023 8th International Conference on Communication and Electronics Systems (ICCES) Pub Date : 2023-06-01 DOI: 10.1109/ICCES57224.2023.10192890

Yatish S J, Viji Vinod, Soumitra Subodh Pande, V. Lakshmi Narayana, Neerav Nishant, Sivagurunathan P T

引用次数: 0

Lung Cancer Detection using CT Scans: Image Processing through Deep Learning - A Review 肺癌CT扫描检测:通过深度学习进行图像处理综述

2023 8th International Conference on Communication and Electronics Systems (ICCES) Pub Date : 2023-06-01 DOI: 10.1109/ICCES57224.2023.10192622

A. V, B. K

引用次数: 0

A Framework for Processing and Analysing Real-Time data in e-Commerce Applications 电子商务应用中实时数据处理与分析的框架

2023 8th International Conference on Communication and Electronics Systems (ICCES) Pub Date : 2023-06-01 DOI: 10.1109/ICCES57224.2023.10192771

Mrs. B.Deena, Divya Nayomi, Dr. K. K. Baseer, D. Albert, D. Pasha, Mrs. V Sujatha

{"title":"A Framework for Processing and Analysing Real-Time data in e-Commerce Applications","authors":"Mrs. B.Deena, Divya Nayomi, Dr. K. K. Baseer, D. Albert, D. Pasha, Mrs. V Sujatha","doi":"10.1109/ICCES57224.2023.10192771","DOIUrl":"https://doi.org/10.1109/ICCES57224.2023.10192771","url":null,"abstract":"In general, predicting Stock Market is quite a demanding task, and targeting very high accuracy is not exactly going to work. Nonetheless, few techniques in machine learning provide relevant predictions. The performances of the generated models were not always completely accurate but lot of errors were present in them. Many papers have been analysed and the methodology used by various authors, their requirements, and the challenges faced by them while building their respective models have been understood. The purpose of this study is to examine some of the numerous analytic techniques and tools that may be used with big data, as well as the potential created by their use in various decision-making areas. Around 242 papers have been collected and up to 38 papers have been filtered among them. Each of them has been filtered based on various factors. Some papers have been excluded based on title, few were excluded based on abstract and titles. The collected papers have been divided into various categories like big data analysis, studies on stock market analysis, research on real time data analysis, papers on Kafka and cloud computing.","PeriodicalId":442189,"journal":{"name":"2023 8th International Conference on Communication and Electronics Systems (ICCES)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134342871","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

An Intelligent Optical Lens Assisted Mobile Application System for Early Detection of Melanoma 智能光学透镜辅助黑素瘤早期检测移动应用系统

2023 8th International Conference on Communication and Electronics Systems (ICCES) Pub Date : 2023-06-01 DOI: 10.1109/ICCES57224.2023.10192746

G. S, H. K, D. D.

{"title":"An Intelligent Optical Lens Assisted Mobile Application System for Early Detection of Melanoma","authors":"G. S, H. K, D. D.","doi":"10.1109/ICCES57224.2023.10192746","DOIUrl":"https://doi.org/10.1109/ICCES57224.2023.10192746","url":null,"abstract":"Melanoma is the fatal form of skin cancer that can prevail anywhere in the body due to the abnormal proliferation of melanin pigment. The early detection of Melanoma is difficult due to the absence of anti-natural symptoms it owns. Normal moles may turn into Melanoma lesions due to many factors. A dermatologist diagnoses melanomas using an instrument called Dermatoscope, which acquires the lesion's image and processes it based on the ABCDE algorithm. This study has fabricated an optical lens system that can capture the lesion's appearance and make it free from pixilation. This lens system is a dual-lens system integrated with a mobile application that can predict the possibility of the mole being a lesion and classify it based on its severity using a Deep ConvNet structure. Using an integrated lens system instead of a conventional dermatoscopy is a cost-efficient method and provides clinical significance to identify Melanoma in its earlier stage. Integrated lens apparatus is handy due to its less complicated nature of construction. This setup's efficiency is measured based on its adaptability, output image quality, and accuracy. Detection time and efficiency of the system is assessed using a renowned clinician analyst.","PeriodicalId":442189,"journal":{"name":"2023 8th International Conference on Communication and Electronics Systems (ICCES)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134569051","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

Analysis of Vedic Mathematics Ekadhikena Purvena Sutra in Squaring and Multiplication 吠陀数学《Ekadhikena Purvena经》的平方和乘法分析

2023 8th International Conference on Communication and Electronics Systems (ICCES) Pub Date : 2023-06-01 DOI: 10.1109/ICCES57224.2023.10192851

Dharmendra Kumar Yadav, Rohit Ranjan Lal

引用次数: 0