2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)最新文献_第9页

Influence of Perceived Credibility of Online Reviews on Consumers’ Purchase Intentions in Travel E-Commerce Platforms 在线评论可信度感知对旅游电子商务平台消费者购买意愿的影响

2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2023-04-29 DOI: 10.1109/ICDCECE57866.2023.10150576

Yang Yang, Feng Gong

{"title":"Influence of Perceived Credibility of Online Reviews on Consumers’ Purchase Intentions in Travel E-Commerce Platforms","authors":"Yang Yang, Feng Gong","doi":"10.1109/ICDCECE57866.2023.10150576","DOIUrl":"https://doi.org/10.1109/ICDCECE57866.2023.10150576","url":null,"abstract":"In the context of Internet purchase, online reviews become an important reference information for consumers to make travel arrangements. And perceived credibility is the determinant of whether online reviews are adopted or not. Based on SMCR theory, this paper introduces a mediator variable - perceived credibility into tourism products. The maximum likelihood estimation method and spss process are used to empiricately reveal the influence mechanism of perceived credibility of online reviews on the online purchase intention of tourism consumers. The research shows：(1)The vast majority of travel consumers trust online reviews;(2)Four influencing factors of credibility to be verified are extracted from the four elements of communication process: source, message, channel and receiver, the influence degree of these factors is clarified.;(3)The information source, information quality, emotional tendency and platform trust of online reviews have important effects on purchase intention, perceived credibility plays a mediating role in the influencing mechanism; (4)Among them, information quality and platform trust have the largest impact on online purchase intention, and emotional tendency has the smallest impact, which needs to stimulate consumers 'purchase desire through the mediator variable of perceived credibility; (5)Emotional tendency and platform trust are the most important dimensions affecting perceived credibility, moreover, platform trust has the greatest impact on perceived credibility.","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":"121160575","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

Design and Implementation of Event Knowledge Graph Construction Platform Based on Neo4j 基于Neo4j的事件知识图谱构建平台的设计与实现

2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2023-04-29 DOI: 10.1109/ICDCECE57866.2023.10150587

Xianchuan Wang, Xiao Gao, Zhenyuan Fu, Xiuming Chen, Xianchao Wang

引用次数: 0

Bangladeshi Traffic Sign Recognition and Classification using CNN with Different Kinds of Transfer Learning through a new (BTSRB) Dataset 通过一个新的(BTSRB)数据集，使用CNN和不同类型的迁移学习对孟加拉国交通标志进行识别和分类

2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2023-04-29 DOI: 10.1109/ICDCECE57866.2023.10151254

Md. Abu Sayeed, Md. Saiful Islam, Md. Babul Islam, Piyush Kumar Pareek, Tanbin Islam Rohan

{"title":"Bangladeshi Traffic Sign Recognition and Classification using CNN with Different Kinds of Transfer Learning through a new (BTSRB) Dataset","authors":"Md. Abu Sayeed, Md. Saiful Islam, Md. Babul Islam, Piyush Kumar Pareek, Tanbin Islam Rohan","doi":"10.1109/ICDCECE57866.2023.10151254","DOIUrl":"https://doi.org/10.1109/ICDCECE57866.2023.10151254","url":null,"abstract":"An accident is the cry of a lifetime. The role of traffic signs is most important in preventing or mitigating accidents. In many cases, while driving, traffic signs are not visible in the conventional approach; if traffic sign detection and recognition can alert the driver of important sign guidance ahead, it will help in accident mitigation. Traffic sign recognition plays a monumental role in expert systems, such as traffic assistance driving systems and automatic driving systems. The prime purpose of this paper is to design and identify a computer-based system that can spontaneously detect the direction of a road sign. For this research work, we have created our own dataset, which is called the Bangladeshi Traffic Sign Recognition Benchmark (BTSRB) dataset. The dataset, BTSRB, was created by capturing images from different angles and under different parameters and conditions. A total of 7320 images were collected to create this comprehensive database. This dataset called BTSRB all the images collected from Bangladesh. In this paper, we used five different types of models (CNN, Inception V3, MobileNetV2, ResNet50, and VGG16), which are pre-trained on the ImageNet dataset. Later, we finetuned the pre-trained model and used transfer learning. The main challenge of this research is collecting datasets from a country like Bangladesh, where no recognized dataset is available. When compared to another model, the accuracy of this model is greater than 91%. This paper emphasizes the significance of traffic sign recognition in expert systems and the necessity for a well-established dataset in nations where such resources are not readily available.","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":"126762148","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

The Smart Development of the Large Scale Sensing Techniques in Intelligent Industrial Automation 智能工业自动化中大规模传感技术的智能化发展

2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2023-04-29 DOI: 10.1109/ICDCECE57866.2023.10150691

G. S, Mahesh Tr

{"title":"The Smart Development of the Large Scale Sensing Techniques in Intelligent Industrial Automation","authors":"G. S, Mahesh Tr","doi":"10.1109/ICDCECE57866.2023.10150691","DOIUrl":"https://doi.org/10.1109/ICDCECE57866.2023.10150691","url":null,"abstract":"Intelligent industrial automation is becoming increasingly popular, as companies look to automate processes and maximize efficiency. One way they are achieving this is through the use of large scale sensing techniques. These techniques enable companies to monitor the performance of their equipment and make adjustments if necessary. Large scale sensing techniques are used in industrial automation to detect physical quantities such as temperature, pressure, flow, and vibration. By using sensors, companies can detect problems before they become serious issues. This allows them to make changes and keep their machines running as efficiently as possible. Large scale sensing techniques are also used to monitor the environment in which machines are operating. This can help companies identify potential risks, such as high temperatures or humidity, and take the necessary measures to avoid damage. It can also help companies make better decisions about how to deploy their resources to maximize efficiency. Lastly, large scale sensing techniques can be used for predictive maintenance. By monitoring the performance of machines, companies can detect potential problems early on and take preventive measures before they become serious. This helps to avoid costly repairs and downtime, and ensures that companies are able to keep their machines running smoothly.","PeriodicalId":221860,"journal":{"name":"2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","volume":"8 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":"117346912","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 Method of Support Vector Machine for the Evaluation and Optimization of Financial Management 财务管理评价与优化的支持向量机新方法

2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2023-04-29 DOI: 10.1109/ICDCECE57866.2023.10151179

Yuping Zhu

{"title":"A Novel Method of Support Vector Machine for the Evaluation and Optimization of Financial Management","authors":"Yuping Zhu","doi":"10.1109/ICDCECE57866.2023.10151179","DOIUrl":"https://doi.org/10.1109/ICDCECE57866.2023.10151179","url":null,"abstract":"Evaluation optimization is the major content of financial management, but in the evaluation and optimization process, the number of financial data and evaluation means will affect the outputs, decrease the accuracy of evaluation optimization, and lead to errors in optimization results. Rest on this, this paper develops a support vector machine technique to evaluate and optimize financial management, maximize the level of financial management, and shrink the evaluation and optimization time. Then, a comprehensive assessment of financial management is carried out. Finally, vector computing manages evaluation optimization and outputs the optimization outputs. The simulation outputs of MATLAB represent that the support vector machine method can accurately evaluate and optimize, improve the level of financial management, and the evaluation and optimization accuracy is more significant than 92%, which is better than the vector calculation method. At the same time, the results of the support vector machine technique developed in this paper have a small change range, less than 3.6%, which is superior to the original calculation method. In addition, in the financial management, support vector machine method for data processing time is less than 5 seconds, better than manual evaluation method. Therefore, the support vector machine method can meet the evaluation necessity of financial management and is perfect for optimal financial management analysis.","PeriodicalId":221860,"journal":{"name":"2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","volume":"1 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":"128935646","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

Wireless Charging and BMS for Optimizing Electric Vehicle Charging and Battery Management 优化电动汽车充电和电池管理的无线充电和BMS

2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2023-04-29 DOI: 10.1109/ICDCECE57866.2023.10150496

Mohammed Irfan Ahamed.M, S. Mateen, Arun Savadi, Abdul Lateef Haroon P S, S. Naushad

{"title":"Wireless Charging and BMS for Optimizing Electric Vehicle Charging and Battery Management","authors":"Mohammed Irfan Ahamed.M, S. Mateen, Arun Savadi, Abdul Lateef Haroon P S, S. Naushad","doi":"10.1109/ICDCECE57866.2023.10150496","DOIUrl":"https://doi.org/10.1109/ICDCECE57866.2023.10150496","url":null,"abstract":"Dynamic wireless charging is an innovative technology that enables electric vehicles (EVs) to charge their batteries wirelessly while driving on the road. This technology offers numerous advantages over traditional stationary charging methods, such as eliminating the need for frequent stops to recharge and enabling EVs to travel longer distances. In addition, Bluetooth Low Energy (BLE) wireless battery management system (BMS). have been developed to wirelessly monitor and optimize the charging process, further enhancing the efficiency and safety of dynamic wireless charging. This paper presents dynamic wireless charging with wireless BMS, which will dynamically adjust the charging power level and maintain the charging status of the battery, based on the battery state of charge (SOC) and the charging requirements. The system uses a high-frequency inverter for power transmission and an active front-end rectifier for power conversion, which improves the efficiency of the charging process. The BLE wireless BMS provides real-time data on the battery condition and enables communication with the charging system for optimal charging. The simulation results show that the proposed system can achieve efficient and stable wireless charging of EVs, and can provide a flexible and convenient charging experience for EV Proprietors.","PeriodicalId":221860,"journal":{"name":"2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","volume":"70 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":"127342760","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 Trustworthy Data Verification Technique for Cross-Chain Data Sharing Based on Merkle Trees 基于Merkle树的跨链数据共享可信数据验证技术

2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2023-04-29 DOI: 10.1109/ICDCECE57866.2023.10150492

Ruping Wang, Siqi Zhong, Qin Zhou, Jun Tu

{"title":"A Trustworthy Data Verification Technique for Cross-Chain Data Sharing Based on Merkle Trees","authors":"Ruping Wang, Siqi Zhong, Qin Zhou, Jun Tu","doi":"10.1109/ICDCECE57866.2023.10150492","DOIUrl":"https://doi.org/10.1109/ICDCECE57866.2023.10150492","url":null,"abstract":"Cross-chain data sharing is a promising solution for integrating different blockchain networks and improving their interoperability. However, data security and trustworthiness are major concerns in cross-chain data sharing, as data may be altered or corrupted during the sharing process. In this paper, we propose a novel technique for data verification in cross-chain data sharing based on Merkle trees. By establishing the merkle tree relay mechanism, the Merkle tree is used to build a decentralized environment, and the cross-chain transaction data is verified safely and efficiently, so that the data can be shared between different blockchain networks while maintaining the integrity and credibility of the data. The technology ensures the integrity and credibility of the data by using the characteristics of the Merkle tree. It provides an efficient and secure way to validate data in a decentralized environment. We also describe the implementation of the technique and experimentally demonstrate its effectiveness. Experimental results show that measuring the time required to verify shared data using Merkle tree to evaluate the technology provides a reliable and efficient solution for cross-chain data sharing, which can be used to build secure and trusted decentralized applications.","PeriodicalId":221860,"journal":{"name":"2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","volume":"73 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":"133564934","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

Urban Waterlogging Area Planning Based on Computer and GIS Technology 基于计算机和GIS技术的城市内涝区规划

2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2023-04-29 DOI: 10.1109/ICDCECE57866.2023.10151032

Hanlin Wang, Gaoxiang Ren, Xuanying Zhang, Rongjian Nie, Wei Cai, Bin Xiao, Yanbiao Wang

{"title":"Urban Waterlogging Area Planning Based on Computer and GIS Technology","authors":"Hanlin Wang, Gaoxiang Ren, Xuanying Zhang, Rongjian Nie, Wei Cai, Bin Xiao, Yanbiao Wang","doi":"10.1109/ICDCECE57866.2023.10151032","DOIUrl":"https://doi.org/10.1109/ICDCECE57866.2023.10151032","url":null,"abstract":"Urban flood disaster caused by heavy rain is the main natural disaster faced by cities, which not only seriously affects the traffic of cities, but also threatens the life and property safety of urban residents. Research on urban inundated area planning can effectively deal with the loss caused by urban flood disaster. In this study, one-dimensional and two-dimensional coupled hydrodynamic simulation model of urban area was established by using computer and GIS technology, and the rainfall return period of 5-year, 10-year, 20-year and 50-year was selected for simulation study. The simulation results were planned and displayed by GIS. The main conclusions are as follows: the coupling model of one-dimensional and two-dimensional hydrodynamics can be used to model the rainfall confluence process in urban areas. The combination of computer technology and GIS technology can provide scientific basis and technical support for urban flood control and drainage and inundation area planning, and the simulation results can be shown accurately and vividly. With the increase of rainfall recurrence period, the inundation range and the number of inundation risk points in the study area increased, and the inundation range in the same risk area expanded. Together, this modeling and evaluation method can help city management committees assess the potential risk of urban waterlogging, particularly in areas with high risk of waterlogging under extreme rainfall that may occur in the future.","PeriodicalId":221860,"journal":{"name":"2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","volume":"118 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":"116891152","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

Framework of Cable Intelligent Maintenance Based on Big Data Analysis 基于大数据分析的电缆智能维护框架

2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2023-04-29 DOI: 10.1109/ICDCECE57866.2023.10151043

Jianjian Hou, Chen Chen, Chanjuan Wang, Wenjun He, Junhua Song, Yulin Li

{"title":"Framework of Cable Intelligent Maintenance Based on Big Data Analysis","authors":"Jianjian Hou, Chen Chen, Chanjuan Wang, Wenjun He, Junhua Song, Yulin Li","doi":"10.1109/ICDCECE57866.2023.10151043","DOIUrl":"https://doi.org/10.1109/ICDCECE57866.2023.10151043","url":null,"abstract":"For electric power companies, more and more data are stored in real-time databases through DAS and DCS systems. Using big data to analyze historical data can predict energy development trends and provide effective decision-making basis and future cable maintenance. work and maintenance etc. This paper proposes a risk assessment method for cable overhaul, that is, the estimated untreated risk is expressed by multiplying the post-treatment result by the failure rate. Comparing the results of an overhaul with the estimated risk of not overhauling provides the most decision-making results. This paper constructs a cable maintenance status evaluation management system based on big data, including the responsibility system, process system, control system and information management system of cable maintenance, in order to provide assistance for power development and increase the economic benefits of power companies. In this paper, the fundamentals of the mechanical properties of the elongation at break of cable fiber materials at different temperatures are investigated. Experimental studies show that the aging time and elongation at break of the XLPE sample cable at 140 °C to the critical reaction point are 26 days and 589%, respectively. The inflection point aging time is 13 days at 150 °C and 160 °C. Due to the effect of high-temperature aging, the mechanical properties of XLPE samples are severely damaged in a short period of time.","PeriodicalId":221860,"journal":{"name":"2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)","volume":"40 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":"128171326","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

Key Technologies in Computer Algorithm Dynamics Based on Front-end and Front-end Separation System 基于前端与前端分离系统的计算机算法动力学关键技术

2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE) Pub Date : 2023-04-29 DOI: 10.1109/ICDCECE57866.2023.10150518

Qingrong Yang

{"title":"Key Technologies in Computer Algorithm Dynamics Based on Front-end and Front-end Separation System","authors":"Qingrong Yang","doi":"10.1109/ICDCECE57866.2023.10150518","DOIUrl":"https://doi.org/10.1109/ICDCECE57866.2023.10150518","url":null,"abstract":"In the theoretical research and simulation experiment of computer, the front and rear end separation technology is widely used. In this paper, continuous media is modeled and dynamically simulated based on C # language. In order to facilitate the effective storage and management of some data, it is important to study the key technologies of the method of separating the front and back ends. In this paper, the computer dynamic algorithm and key technology of the front and back-end separation system are studied by using experimental comparison and encryption methods. The experimental data shows that the number of data packets optimized by the front and rear separation system is only 1% - 2%, and the loading time is about 3%. The system adopts the front and rear end separation architecture, the dynamic algorithm, data visualization and multi-language support and other technical means, making the algorithm development more flexible and efficient, and can meet the personalized needs of users. In addition, the system also provides a platform for algorithm researchers to communicate and share, which can promote the development and popularization of algorithm research.","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":"128365851","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