2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)最新文献_第5页

An Innovation Development of Various Collision Avoidance Mechanisms and Its Related Parameters in IEEE 802.15.1 IEEE 802.15.1中各种避碰机制及其相关参数的创新发展

2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2023-04-29 DOI: 10.1109/ICDCECE57866.2023.10150906

Ganesh D, Bhawana G, Sunanda Das

{"title":"An Innovation Development of Various Collision Avoidance Mechanisms and Its Related Parameters in IEEE 802.15.1","authors":"Ganesh D, Bhawana G, Sunanda Das","doi":"10.1109/ICDCECE57866.2023.10150906","DOIUrl":"https://doi.org/10.1109/ICDCECE57866.2023.10150906","url":null,"abstract":"The IEEE 802.15.1 standard defines the wireless communication protocol for wireless personal area networks (WPANs). It is a crucial protocol for ensuring reliable and secure communication in WPANs. Effective communication depends on collision avoidance algorithms and parameters like any other communication protocol. Collision avoidance algorithms are used to detect and stop numerous devices from transmitting simultaneously on the same frequency channel. This is significant because it enables efficient, interference-free data transmission and reception. Collision avoidance in IEEE 802.15.1 is accomplished by using a contention window. Every node in the network is permitted access to the channel to transmit data during the congestion window. The signal will collide if two nodes try to share simultaneously, and the data will be lost. The minimum contention window (CWmin) and the maximum contention window (CWmax) are the two parameters that make up the contention window in IEEE 802.15.1. While the CWmax specifies the most extended time period that each node can wait before attempting to access the channel, the CWmin specifies the least amount of time each node must wait. The likelihood of a collision decreases with the length of the contention window.","PeriodicalId":221860,"journal":{"name":"2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","volume":"266 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114607849","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

Evaluation of Various Loss Functions and Optimization Techniques for MRI Brain Tumor Detection 各种损失函数的评估及MRI脑肿瘤检测的优化技术

2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2023-04-29 DOI: 10.1109/ICDCECE57866.2023.10151232

Kalyan Maji, Subir Gupta

{"title":"Evaluation of Various Loss Functions and Optimization Techniques for MRI Brain Tumor Detection","authors":"Kalyan Maji, Subir Gupta","doi":"10.1109/ICDCECE57866.2023.10151232","DOIUrl":"https://doi.org/10.1109/ICDCECE57866.2023.10151232","url":null,"abstract":"Brain tumours can appear in any area of the brain and can afflict people of any age. Recent research has demonstrated that deep learning models such as VGG16, VGG19, Mobile Net, and Dense Net are promising methods for detecting brain cancers using MRI technology. This research was intended to determine the optimal mix of optimisation algorithms and loss functions for brain tumour detection accuracy. The entire cerebral cortex was labelled to show the existence of brain tumours using an open-source dataset. When training deep learning models, different loss functions were used to measure how well they performed. The ADAM optimizer was more accurate and had less loss than the BINARY CROSSENTROPHY optimizer. The proposed method found brain cancer in 97% of MRI scans, so it can be used for both primary diagnosis and clinical decision support systems. The proposed method could make clinical diagnosis and decision-making more accurate. In conclusion, deep learning models, including those with binary cross-entropy and ADAM losses, can classify brain tumour data accurately, and the proposed method is effective and simple to implement.","PeriodicalId":221860,"journal":{"name":"2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114903087","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 of Semantic Weight Based Re-Propagation For Convolutional Neural Networks in Content Based Medical Image Retrieval 基于语义权重传播的卷积神经网络在基于内容的医学图像检索中的混合方法

2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2023-04-29 DOI: 10.1109/ICDCECE57866.2023.10151427

Gourav Sood

{"title":"A Hybrid Approach of Semantic Weight Based Re-Propagation For Convolutional Neural Networks in Content Based Medical Image Retrieval","authors":"Gourav Sood","doi":"10.1109/ICDCECE57866.2023.10151427","DOIUrl":"https://doi.org/10.1109/ICDCECE57866.2023.10151427","url":null,"abstract":"Content-based image retrieval (CBIR) is a homogeneous search technology based on visual features, and information has been leaked to potential users of pharmaceutical testing, education, and research. However, the CBIR collects images related to acquisition properties, as a result of the inability to predict the similarity of images using the medical part, and the difference between the user’s search destination and object space. In the existing methods, effective points of interest are searched for, and L2 normalization is applied to the spatial arrangement of the original and global features and the RGB channels in the index image by effectively detecting their points of interest. The principal component analysis is used for redundant feature sets and feature sets to provide significant effects. The existing system has certain limitations, such as information loss during the hard task completion coding process and ignores the spatial relationship among the patches in image representation. To overcome the existing method issues, the integrated feature of the images is preferred. In this work, Semantic Weight Based Feed Forward Recurrent Back Propagation (SWFFRBP) is used to retrieve the images, and then based on the semantic weight the correctness of retrieval of images is calculated. The semantic weight determines the accuracy of retrieved images. After that, the recurrent backpropagation calculates the weight error derivatives arising from this entire episode of processing in the network. The existing features compared with the proposed features were Bag of Features (BoF), SURF, and HOG. The retrieval methods taken to compare with proposed retrieval techniques are RFRM and KNN. Thus, medical image retrieval for diagnosis using SWFFRBP, accuracy, False positive rate, relevance, feedback, precision, and recall parameters were tested and proved to be efficient than other methods.","PeriodicalId":221860,"journal":{"name":"2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117022175","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

Comparative Analysis of Phase/Frequency Detector in a Complete PLL System 一个完整锁相环系统中相位/频率检测器的比较分析

2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2023-04-29 DOI: 10.1109/ICDCECE57866.2023.10150478

Buddhi Prakash Sharma, Rahul Balike, Anu Gupta, C. Shekhar

引用次数: 0

An Innovation of Energy Harvesting for Small Scale Robotics in Automation Industry 自动化工业中小型机器人能量采集技术的创新

2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2023-04-29 DOI: 10.1109/ICDCECE57866.2023.10150864

Tushar Mehrotra, Sahana Shetty

{"title":"An Innovation of Energy Harvesting for Small Scale Robotics in Automation Industry","authors":"Tushar Mehrotra, Sahana Shetty","doi":"10.1109/ICDCECE57866.2023.10150864","DOIUrl":"https://doi.org/10.1109/ICDCECE57866.2023.10150864","url":null,"abstract":"Robotics is a rapidly emerging technology in the automation industry, and small-scale robotics is becoming increasingly prevalent in automation applications. Small-scale robotics can be used to automate a variety of manufacturing processes, such as assembly, welding, and painting. Small-scale robotics can be used to improve efficiency and reduce labor costs, allowing companies to produce products faster and more reliably with fewer resources. Small-scale robots are typically designed with a smaller size and weight than traditional industrial robots, making them suitable for applications with limited space and weight requirements. Small-scale robots are capable of performing a wide range of tasks, including pick-and- place operations, vision-guided navigation, logistics, and even complex manipulation tasks. Small-scale robots can provide a number of benefits to automation operations. For example, they can reduce labor costs by automating manual tasks. Small-scale robots are also capable of performing highly accurate and repeatable tasks, which can improve the quality of products. Additionally, small-scale robots can be used to increase throughput and reduce cycle times, enabling companies to produce more products in less time.","PeriodicalId":221860,"journal":{"name":"2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","volume":"42 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116338856","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

Study on the Leakage Detection and Location of Urban Pipe Network Based on the Best Path Algorithm 基于最优路径算法的城市管网泄漏检测与定位研究

2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2023-04-29 DOI: 10.1109/ICDCECE57866.2023.10150443

W. Bai, Hongzhen Zhang, Huijun Liu

{"title":"Study on the Leakage Detection and Location of Urban Pipe Network Based on the Best Path Algorithm","authors":"W. Bai, Hongzhen Zhang, Huijun Liu","doi":"10.1109/ICDCECE57866.2023.10150443","DOIUrl":"https://doi.org/10.1109/ICDCECE57866.2023.10150443","url":null,"abstract":"In the operation of the city, there are high requirements for the stability of pipelines and networks, which is related to People's Daily life, so it has attracted great attention. Starting from the application of intelligent natural gas pipeline leakage monitoring, the application value of the current intelligent natural gas pipeline technology is analyzed. In natural gas transmission, pipeline technology has obvious advantages. In the near future, China will build numerous natural gas pipelines. Natural gas pipeline, the west four atmospheric area, offshore gas area, as well as Russia, Central Asia and other neighboring countries, all introduced into the natural gas, forming a nationwide network. In this paper, the RSSI algorithm and the best path algorithm were conducted in 8 groups of simulated urban pipe network leakage detection and positioning research, optimized and analyzed the data, and further proved the practicability of the urban pipe network leakage detection and positioning research of the best path algorithm. The shortest distance for leak detection and location in urban pipe networks using the best path algorithm is 4556 km, while the distance for leak detection and location in urban pipe networks using the RSSI algorithm in the same situation is 9296 km.","PeriodicalId":221860,"journal":{"name":"2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122058059","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

Application Analysis and Development Strategy of Cloud Computing Technology in Computer Data Processing 云计算技术在计算机数据处理中的应用分析及发展策略

2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2023-04-29 DOI: 10.1109/ICDCECE57866.2023.10150519

L. Lina

{"title":"Application Analysis and Development Strategy of Cloud Computing Technology in Computer Data Processing","authors":"L. Lina","doi":"10.1109/ICDCECE57866.2023.10150519","DOIUrl":"https://doi.org/10.1109/ICDCECE57866.2023.10150519","url":null,"abstract":"In the past, data processing was completed on a computer or a server. This is because the resources available at that time were limited. However, with the progress of technology, it is possible to use multiple computers and servers to process large amounts of data. This is where cloud computing comes into play. Cloud computing allows users to access data from anywhere at any time using an Internet connection. It also reduces the cost of enterprises because they do not have to buy additional hardware or software for each user. Aiming at the problems of single scale of traditional computer data processing and poor degree of adaptive parallel computing, this paper proposes a multi-source information accelerated data processing method of cloud computing technology, analyzes the application of cloud computing technology in computer data processing, and adopts the dynamic optimization technology of cloud computing speed to build a dynamic adjustment model of multi-source information data flow application of cloud computing, so as to reduce the energy cost of cloud computing, Combined with the experience of data processing users, the model can support multi-user computing entity sharing in the cloud to improve the running efficiency of data flow applications and reduce the energy cost of computer data processing. This article first outlines the basic meaning of cloud computing technology, starting with providing conditions for data transmission and sharing, and highlighting the application value of cloud computing technology. It analyzes the trend of cloud computing technology, and combines the modeling of cloud computing technology in computer data processing to propose application countermeasures for cloud computing technology in computer data processing.","PeriodicalId":221860,"journal":{"name":"2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","volume":"114 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123948478","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

The Decision System of Language and Literature Education in Vocational Schools Based on Apriori Algorithm 基于Apriori算法的高职语言文学教学决策系统

2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2023-04-29 DOI: 10.1109/ICDCECE57866.2023.10150927

You-guang Ao, Min Xu, Yunmin Wu, C. Chan, N. Samanvita

{"title":"The Decision System of Language and Literature Education in Vocational Schools Based on Apriori Algorithm","authors":"You-guang Ao, Min Xu, Yunmin Wu, C. Chan, N. Samanvita","doi":"10.1109/ICDCECE57866.2023.10150927","DOIUrl":"https://doi.org/10.1109/ICDCECE57866.2023.10150927","url":null,"abstract":"The study of language and literature education in vocational schools is a new phenomenon in the field of education. This paper will discuss the research of language and literature education decision system in vocational schools based on Apriori algorithm. Apriori algorithm is a method to find the most possible word combination from a given set by using frequency counting. This algorithm can be used to determine whether students have acquired some knowledge or skills through lectures. It uses observation, interview, document review and field work as the main methods of investigation. In this case, researchers will use observation to collect data from different sources, such as books, newspapers, magazines, etc., and interview experts will be used to obtain their opinions on the research issues. Due to the large number of students in the school and the large number of subjects, there are certain difficulties in optimizing the allocation of teaching resources. For each student, there is a great correlation between their grades in various subjects, and this correlation, because of the differences in schools and vocational schools, shows relatively obvious differences. In view of such correlation and difference, Apriori algorithm combined with cloud computing can carry out better analysis and research. For each school and vocational school, the corresponding optimal allocation scheme of teaching resources in line with the collective is obtained.","PeriodicalId":221860,"journal":{"name":"2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129906166","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

Sonar Image Target Detection Based on Deep Learning 基于深度学习的声纳图像目标检测

2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2023-04-29 DOI: 10.1109/ICDCECE57866.2023.10150970

Zhirao Yin, Shaojun Zhang, Rui Sun, Yuxuan Ding, Yalong Guo

{"title":"Sonar Image Target Detection Based on Deep Learning","authors":"Zhirao Yin, Shaojun Zhang, Rui Sun, Yuxuan Ding, Yalong Guo","doi":"10.1109/ICDCECE57866.2023.10150970","DOIUrl":"https://doi.org/10.1109/ICDCECE57866.2023.10150970","url":null,"abstract":"The most popular and crucial piece of equipment for underwater target detection right now is side-scan sonar, which primarily plays a crucial role in underwater operations. Unfortunately, in general, side-scan sonar images have low resolution and suffer from significant noise interference, making target recognition with these images highly challenging. In this paper, we employ deep learning techniques to recognize underwater targets using side scan sonar imagery. This paper begins by outlining the current state of underwater target detection research as well as briefly describing its importance and historical context. The imaging process of side-scan sonar pictures is studied in greater depth, and it is determined that noise on sonar images is caused principally by the combined effect of external and internal noise. This causes extra noise in sonar pictures, lowering image quality and affecting target identification performance. Proper sonar image pre-processing findings can provide more consistent target detection help. After then, the YOLOv5 target detection algorithm is investigated and improved. By performing several sets of comparison trials, the updated technique improves the accuracy and speed of side-scan sonar image target recognition and finally overcomes the issues of missed detection, false detection, and low accuracy of overlapping tiny object recognition.","PeriodicalId":221860,"journal":{"name":"2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128360666","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

Application of FFT Algorithm in Digital Protection System of Building FFT算法在楼宇数字保护系统中的应用

2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2023-04-29 DOI: 10.1109/ICDCECE57866.2023.10151028

Yiming He, Wei Wang

{"title":"Application of FFT Algorithm in Digital Protection System of Building","authors":"Yiming He, Wei Wang","doi":"10.1109/ICDCECE57866.2023.10151028","DOIUrl":"https://doi.org/10.1109/ICDCECE57866.2023.10151028","url":null,"abstract":"Ancient architecture is the essence of Chinese traditional culture and is the star in the long history. Effective protection of ancient buildings is a tribute to traditional culture. In the conservation of ancient buildings, traditional measurement and conservation methods can hardly match the needs of the ever-changing times. The application of digital technology can effectively solve the problem of accurate measurement and preservation of information data, so that the relevant information is more accurate, safer and more comprehensive records. With the popularization of computer technology, many intelligent optimization algorithms have gradually penetrated into the study of ancient building preservation and renewal. The pressure on the conservation and restoration of ancient buildings is increasing, and people are eagerly seeking new algorithms that are more robust, fast, efficient, and general. In this paper, we focus on improving the traditional genetic algorithm and combine the ideas of FFT (Fast Fourier Transform) algorithm to form a unique and improved algorithm, which is applicable to most of the ancient buildings. The experimental results of this paper show that the data collection efficiency is improved by 69% and the data processing efficiency is improved by at least 67% after the optimization of FFT algorithm, and the accuracy of database construction is at least 14% higher than that of the traditional method. It can be seen that the digitization method combined with the FFT algorithm has greater advantages than the traditional method, and will be more accurate and efficient for the conservation of ancient buildings.","PeriodicalId":221860,"journal":{"name":"2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127382583","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