2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)最新文献_第8页

1-Bit Comparator Designed by Multithreshold FinFET based Sleep Transistor Technique in 18nm 基于18nm多阈值FinFET睡眠晶体管技术设计的1位比较器

2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2023-04-29 DOI: 10.1109/ICDCECE57866.2023.10151417

Ricky Rajora, K. Sharma, Anjali Sharma

{"title":"1-Bit Comparator Designed by Multithreshold FinFET based Sleep Transistor Technique in 18nm","authors":"Ricky Rajora, K. Sharma, Anjali Sharma","doi":"10.1109/ICDCECE57866.2023.10151417","DOIUrl":"https://doi.org/10.1109/ICDCECE57866.2023.10151417","url":null,"abstract":"Power efficiency in VLSI circuits can be achieved by using several new logic families which are characterized by complementary CMOS technique. New efficient techniques can be achieved by using both high and low threshold FinFETs in digital circuits. Operation of theses FinFETs can be obtained differently in active and sleep mode as per the logic requirement. In this study, multithreshold technique called sleep transistor technique (STT) has been compared with traditional single threshold technique called complementary FinFET technique (CFT). In STT, high threshold transistor is used as sleep transistors which can be operated differently in active and standby mode. FinFET based comparator design has been implemented by both techniques by taking 18nm foundry base. For comparative parametric analysis, product of power consumption and energy with delay i.e. PDP and EDP have been considered. The analysis depicts that multithreshold technique consumes less power and having higher speed of operation as compared to traditional technique. Also, transient response of STT technique has shown no threshold loss problem, which makes it suitable for cascade operation in low power VLSI circuits.","PeriodicalId":221860,"journal":{"name":"2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","volume":"97 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":"117202249","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

Website UI Design Interactivity and Interface Visual Design Based on Improved DFA Algorithm 基于改进DFA算法的网站UI设计交互性与界面可视化设计

2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2023-04-29 DOI: 10.1109/ICDCECE57866.2023.10151237

Fang Miao

引用次数: 0

Chinese Personalized Course Content Push Algorithm in Online Vocational Education Based on Big Data 基于大数据的在线职业教育中文个性化课程内容推送算法

2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2023-04-29 DOI: 10.1109/ICDCECE57866.2023.10150656

Wu Yunmin, Chang Chaoying, Ao YouLi, Xu Min, P. Pareek

{"title":"Chinese Personalized Course Content Push Algorithm in Online Vocational Education Based on Big Data","authors":"Wu Yunmin, Chang Chaoying, Ao YouLi, Xu Min, P. Pareek","doi":"10.1109/ICDCECE57866.2023.10150656","DOIUrl":"https://doi.org/10.1109/ICDCECE57866.2023.10150656","url":null,"abstract":"In the past, most vocational education courses were provided by teachers and had to be learned in traditional ways. However, with the development of technology, online vocational education is becoming more and more popular. Using big data analysis can help us provide students with personalized course content according to their learning needs. This article aims to explore how big data analysis can be applied to online vocational education and how to improve students' academic performance. Using big data in vocational education can help us analyze students' learning behaviors and preferences, and provide personalized content according to their needs. Use big data analysis to generate personalized course content based on learners' learning behavior. This article proposes a personalized course content push algorithm based on big data for online vocational education that can provide refined and high-quality course resources, automatically identify learning needs based on learners' characteristic information, dynamically and adaptively present personalized learning activity sequences, and implement accurate content push, thereby improving students' learning efficiency and saving learning time. It includes the following steps: Based on personalized learning by students receiving vocational education, a personalized teaching service system framework for vocational education is constructed from four parts: a learning situation model, a professional model, an adaptive engine, and a presentation model; Adaptively recommend learning content, learning activity sequences, and knowledge tree structure suitable for learners based on the learning situation model and professional model, and display them on the page; At the same time, it can modify the learning behavior history of learners, maintain the learning situation model, and improve the accuracy of the learning situation model.","PeriodicalId":221860,"journal":{"name":"2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","volume":"33 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":"116258915","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

Data Analysis of E-Commerce Precision Marketing System Based on Artificial Intelligence Algorithm 基于人工智能算法的电子商务精准营销系统数据分析

2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2023-04-29 DOI: 10.1109/ICDCECE57866.2023.10150655

Jinfu Zhu

{"title":"Data Analysis of E-Commerce Precision Marketing System Based on Artificial Intelligence Algorithm","authors":"Jinfu Zhu","doi":"10.1109/ICDCECE57866.2023.10150655","DOIUrl":"https://doi.org/10.1109/ICDCECE57866.2023.10150655","url":null,"abstract":"With the application of the Internet, big data and artificial intelligence technology in precision marketing, the outreach of precision marketing is expanding, and various marketing methods and marketing forms are constantly flocking to the market. The purpose of this paper is to study the data analysis of e-commerce precision marketing system based on artificial intelligence algorithm. Based on artificial intelligence, the current situation of e-commerce precision marketing is analysed to identify the problems in building or using big data of users for precision marketing. Combining technologies such as user portraits, BP neural networks and recommendation algorithms, we focus on all-round identification of users, segmentation of user groups, and then marketing according to user needs to bring users a good user experience and increase corporate profits. The research results show that through the rational use of artificial intelligence algorithms, users can accurately predict their purchasing behavior, and conduct personalized recommendation and marketing based on their needs and preferences. The data analysis of e-commerce precision marketing system based on artificial intelligence algorithms has played an important role in improving the level of enterprise precision operations, achieving precision marketing, and mining user value, and has a broad application prospect.","PeriodicalId":221860,"journal":{"name":"2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","volume":"129 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":"123244559","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

Multi-information Collaborative Model of Urban Public Health Emergency Management Based on Bayesian Algorithm 基于贝叶斯算法的城市公共卫生应急管理多信息协同模型

2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2023-04-29 DOI: 10.1109/ICDCECE57866.2023.10151274

Lijun Sun, Dan Li

{"title":"Multi-information Collaborative Model of Urban Public Health Emergency Management Based on Bayesian Algorithm","authors":"Lijun Sun, Dan Li","doi":"10.1109/ICDCECE57866.2023.10151274","DOIUrl":"https://doi.org/10.1109/ICDCECE57866.2023.10151274","url":null,"abstract":"Urban public health emergency management is a series of measures taken by the government to maintain and promote social stability and development. After the occurrence of an emergency, relevant systems are established and improved to ensure public safety. This paper first introduces the background and significance of the research, as well as the mature theoretical basis for the construction of urban government’s response to sudden disasters and emergency response capacity at home and abroad. On this basis, a dynamic response model of urban public health based on Bayesian network is proposed for analysis and research. The final test results show that the urban emergency rescue system based on Bayesian algorithm has better effect than the traditional prediction method relying on a single node, with rapid operation time and small error in information synchronization time. Under this application mode, a whole composed of multiple nodes is established to simulate the management and control of various government departments when an emergency occurs.","PeriodicalId":221860,"journal":{"name":"2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","volume":"5 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":"125390621","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 Synergetic Effect of Association Rule Mining Algorithm between E-Commerce and Digital Economy 电子商务与数字经济之间关联规则挖掘算法的协同效应

2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2023-04-29 DOI: 10.1109/ICDCECE57866.2023.10150602

Yitong Jiang

{"title":"The Synergetic Effect of Association Rule Mining Algorithm between E-Commerce and Digital Economy","authors":"Yitong Jiang","doi":"10.1109/ICDCECE57866.2023.10150602","DOIUrl":"https://doi.org/10.1109/ICDCECE57866.2023.10150602","url":null,"abstract":"With the development of the times, people's lifestyles are constantly changing. The Internet has become an integral part of people's lives and its use is becoming increasingly popular. The Internet has also dabbled in various industries, making today's society more connected with information and a better consumer experience through the Internet, and the behaviour and activities of Internet users can be data-driven. As a result, the data generated by internet users is massively inflated. The processing of data and information plays an exceptionally important role in business decision-making. This paper proposes the synergistic linkage effect of association rule mining algorithms between e-commerce and the digital economy for enterprises dealing with association rule mining in the era of big data. The paper first explains and defines each term such as association rule algorithm, e-commerce and digital economy, then conducts experiments to analyse the impact of the algorithm on the economy, and finally demonstrates through experiments that association rule mining algorithms play a beneficial role between e-commerce and digital economy. Thus, association rule mining algorithms are a technology worthy of research.","PeriodicalId":221860,"journal":{"name":"2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","volume":"160 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":"126148950","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 Particle Swarm Algorithm for Financial Risk Early Warning Optimization 金融风险预警优化的混合粒子群算法

2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2023-04-29 DOI: 10.1109/ICDCECE57866.2023.10151072

Yuping Zhu

{"title":"A Hybrid Particle Swarm Algorithm for Financial Risk Early Warning Optimization","authors":"Yuping Zhu","doi":"10.1109/ICDCECE57866.2023.10151072","DOIUrl":"https://doi.org/10.1109/ICDCECE57866.2023.10151072","url":null,"abstract":"Risk early warning is the main content of financial management, however in the risk early warning process, the amount of financial information and early warning means will have an impact on the results, reduce the risk early warning accuracy, and cause the alert result is incorrect. Based on this, this study proposes a hybrid particle swarm algorithm to warn the financial management data risk to increase the level of financial management, and shorten the financial early warning time. Then comprehensive early warning of financial management data is carried out. Finally, continuous monitoring is used to manage risk early warning and output the results of final warning. The results provide the mixed particle swarm algorithm can accurately take the risk early warning, improve the level of risk early warning, as well as accuracy of risk early warning is greater, which is better than the continuous monitoring method. In this study, the hybrid particle swarm optimization algorithm can increase the financial risk early warning accuracy (90%), ensure the integrity of analysis results (85%), and shorten the early warning time, as well as control the early warning time within 20 seconds, so the overall results of hybrid particle swarm optimization algorithm are better than previous early warning algorithms. Therefore, the hybrid particle swarm algorithm can accommodate the early financial warning selection essentials and is advisable for continuous financial management analysis.","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":"126271608","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

Research on a Machine Vision-based Image Tracking System for Sports 基于机器视觉的运动图像跟踪系统研究

2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2023-04-29 DOI: 10.1109/ICDCECE57866.2023.10151130

Xiaojing Zhang, Jianfeng Jiang

{"title":"Research on a Machine Vision-based Image Tracking System for Sports","authors":"Xiaojing Zhang, Jianfeng Jiang","doi":"10.1109/ICDCECE57866.2023.10151130","DOIUrl":"https://doi.org/10.1109/ICDCECE57866.2023.10151130","url":null,"abstract":"Most of the information perceived by humans is obtained visually, and all the dynamic information in visual information is attractive to people. Along with the rapid development of information technology, network technology and multimedia technology, sports target tracking technology has received more and more attention. Today, intelligent moving target tracking technology has become one of the research hotspots. The aim of this paper is to study a sports image tracking system based on machine vision. OpenCV, an open-source computer visualisation library, is chosen as the implementation tool for the system design, and a system process view and software system hierarchy are planned based on the research content. The KNN-based motion recognition model proposed in this paper was tested and the test results show that the average recall of the KNN action recognition model for this subject is 90.1% under three different lights and the average recall when the cross-merge ratio is greater than 0.5 is 89.1% with some performance. the system functions properly and has a certain performance.","PeriodicalId":221860,"journal":{"name":"2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","volume":"55 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":"125863898","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

Discussion on the Application of Computer Music Production System in College Music Teaching 浅谈计算机音乐制作系统在高校音乐教学中的应用

2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2023-04-29 DOI: 10.1109/ICDCECE57866.2023.10151095

Yanan Liu

{"title":"Discussion on the Application of Computer Music Production System in College Music Teaching","authors":"Yanan Liu","doi":"10.1109/ICDCECE57866.2023.10151095","DOIUrl":"https://doi.org/10.1109/ICDCECE57866.2023.10151095","url":null,"abstract":"This paper aims to explore the application of computer music production system in college music teaching. Nowadays, the application of computers in education is very common. Computers make our life easier and more convenient, but they also bring some disadvantages, such as the increased workload of teachers and students. In this article, I will discuss the advantages and disadvantages of using computers in education, how to effectively use computers in college music teaching, and how to improve computers to make them more effective for future students. Computer music technology is a new comprehensive discipline integrating computer technology and music technology theory. The composition of computer music system and the use of music software commonly used in computer music system. The application of computer music in music teaching in colleges and universities includes the application in the course of composition technology theory, music basic theory, vocal music, instrumental music teaching and extracurricular music practice. The expansion of thinking space and concepts brought by computer music to modern music production. It includes the application of computer music by composers in creation and performance.","PeriodicalId":221860,"journal":{"name":"2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","volume":"44 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":"130257877","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 Framework for Smart City Implementation using IoT-Cloud Based System Architecture 基于物联网云系统架构的智慧城市实施框架

2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2023-04-29 DOI: 10.1109/ICDCECE57866.2023.10151365

V. Dankan Gowda, K. Prasad, Tanmoy De, Ved Srinivas, N. Anil Kumar, Tejashree Tejpal Moharekar

{"title":"A Framework for Smart City Implementation using IoT-Cloud Based System Architecture","authors":"V. Dankan Gowda, K. Prasad, Tanmoy De, Ved Srinivas, N. Anil Kumar, Tejashree Tejpal Moharekar","doi":"10.1109/ICDCECE57866.2023.10151365","DOIUrl":"https://doi.org/10.1109/ICDCECE57866.2023.10151365","url":null,"abstract":"The Internet, a key participant (world wide web) in worldwide information exchange and media sharing, has experienced cumulative upgrades, developments, and given up consequent product IOT, making technology affordable and practical for all uses. Research development includes smart sensors, a communication channel and protocols for exchanging data, and peripherals like an Arduino, a Texas Instruments MSP430G2553, a Weather-proof Tx. Rx. Kit (for exchanging data), a Data Receptor and Decoder Shield for Lab View Kit (for exchanging data), an addressing and de-addressing data module, a communication shield, etc. It is now possible to communicate from a desktop computer or an Android smartphone to a portable device that has an embedded device, such as a microcontroller, a microprocessor, or a sensor. In other words, IOT combines always-on networking, always-on computation, and always-on intelligence. The Internet of Things facilitates communication between the central hub (fitted with a Lab-View interface) and the distributed modules (found in places like parks, subways, and highways) that control the lights. The Internet of Things is also useful for keeping the overall cost of setup and maintenance within reasonable economic bounds. The planned development takes into account IoT on two main scales: city-wide automation (also known as smart city) and home-level automation (also known as covering up).","PeriodicalId":221860,"journal":{"name":"2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","volume":"2 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":"122022678","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