International Journal of Information and Communication Technology最新文献_第5页

A deep mining method of enterprise financial risk data based on improved support vector machine 基于改进支持向量机的企业财务风险数据深度挖掘方法

International Journal of Information and Communication Technology Pub Date : 2023-01-01 DOI: 10.1504/ijict.2023.134250

Hui Sun, Li Fang

引用次数: 0

An efficient retrieval of relational database information based on knowledge graph 基于知识图谱的关系数据库信息高效检索

International Journal of Information and Communication Technology Pub Date : 2023-01-01 DOI: 10.1504/ijict.2023.134249

Hongqin Zhu

引用次数: 0

Online distance music teaching platform based on Internet Plus 基于互联网+的在线远程音乐教学平台

International Journal of Information and Communication Technology Pub Date : 2023-01-01 DOI: 10.1504/ijict.2023.127675

Wanshu Luo

引用次数: 2

"Attention! It’s the News.” Cognitive Load and News Posts on Facebook: An Eye-tracking Study “注意!这是新闻。”认知负荷和Facebook上的新闻帖子:一项眼球追踪研究

International Journal of Information and Communication Technology Pub Date : 2022-12-06 DOI: 10.51548/joctec-2022-012

Preeti Srinivasan, Anne Oeldrof-Hirsch, G. H. Joergensen

引用次数: 0

Drab to Fab: Examining the Effects of Perceived Coolness on News Consumption on Social Media 从单调到精彩:研究感知酷对社交媒体新闻消费的影响

International Journal of Information and Communication Technology Pub Date : 2022-12-06 DOI: 10.51548/joctec-2022-011

Mu Wu, Steve Bien-Aimé

引用次数: 0

Power Users’ Branded Virtual Reality Experience: A Preliminary Study 高级用户的品牌虚拟现实体验:初步研究

International Journal of Information and Communication Technology Pub Date : 2022-12-06 DOI: 10.51548/joctec-2022-013

Yoon‐Joo Lee, Mina Park, David E Silva, J. Joo

引用次数: 1

Framing Social Credit System: An Experimental Investigation of Social Credit System’s Chilling Effect on Freedom of Expression 构建社会信用体系:社会信用体系对言论自由寒蝉效应的实验研究

International Journal of Information and Communication Technology Pub Date : 2022-12-06 DOI: 10.51548/joctec-2022-014

Juan Liu

引用次数: 0

TOPSIS-based Regression Algorithms Evaluation 基于topsis的回归算法评价

International Journal of Information and Communication Technology Pub Date : 2022-10-19 DOI: 10.32890/jict2022.21.4.3

A. Abu-Shareha

{"title":"TOPSIS-based Regression Algorithms Evaluation","authors":"A. Abu-Shareha","doi":"10.32890/jict2022.21.4.3","DOIUrl":"https://doi.org/10.32890/jict2022.21.4.3","url":null,"abstract":"This paper developed a multi-criteria decision-making approach using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to benchmark the regression alternatives. Regression is used in diverse fields to predict consumer behavior, analyze business profitability, assess risk, analyze automobile engine performance, predict biological system behavior, and analyze weather data. Each of these applications has its own set of concerns, resulting in various metrics utilizations or those of similar measures but with diverse preferences. Multi-criteria decision-making analyzes, compares, and ranks a set of alternatives utilizing mathematical and logical processes with a complicated and contradictory set of criteria. The developed approach established the weights, which were the core of the evaluation process, to various values to mimic and address the regression’s utilization in multiple applications with different concerns and using distinct datasets. The alternative judgment identified positive and negative ideal alternatives in the alternative space. The compared regression alternatives were scored and ranked based on their distance from these alternatives. The results showed that different preferences led to varying algorithm rankings, but top-ranked algorithms were distinguished using a specific dataset. Following that, using three datasets, namely Combined Cycle Power Plant, Real Estate, and Concrete, Voting using multiple classifiers (k-means-based classifiers) was the top-ranked in the Combined Cycle Power Plant and Real Estate datasets. In contrast, Decision Stump was the top-ranked in the Concrete dataset.","PeriodicalId":39396,"journal":{"name":"International Journal of Information and Communication Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78818417","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

Guaranteeing Performance in a Fault Tolerant Architecture Solution using Software Agent’s Coordination 利用软件代理的协调保证容错体系结构解决方案的性能

International Journal of Information and Communication Technology Pub Date : 2022-10-19 DOI: 10.32890/jict2022.21.4.6

Festus O Oliha

{"title":"Guaranteeing Performance in a Fault Tolerant Architecture Solution using Software Agent’s Coordination","authors":"Festus O Oliha","doi":"10.32890/jict2022.21.4.6","DOIUrl":"https://doi.org/10.32890/jict2022.21.4.6","url":null,"abstract":"Performance is a critical attribute in evaluating the quality and dependability of service-oriented systems dependent on fault-tolerantarchitectures. Fault-tolerant architectures have been implemented with redundant techniques to ensure fault-tolerant services. However, replica-related overhead burdens fault-tolerant techniques with associated performance degradation in service delivery, and this consequentially discourages service consumers with discredits for service providers. In this paper, a fault-tolerant approach thatadopts replication and diversity was employed on agent-oriented coordination toward guaranteeing the performance of the proposedfault-tolerant architecture solution under a large-scale service request load. In addition, the resultant architecture solution was simulated with Apache JMeter for performance evaluation considering the performability in the absence and presence of a fault load. The simulation experiments and results revealed the architecture’s efficiency in fault tolerance via the timely coordination of logicaland replica-related activities by software agents. Noteworthily, the continued service availability and performance were guaranteed for the architecture solution with a significant rate of regularity in the absence and presence of a replica-related fault. Therefore, this study’s performance evaluation methods and results could serve as a veritable milestone for building fault-tolerant service systems with appreciable performability and contribute to the service-oriented fields where performance is inevitable.","PeriodicalId":39396,"journal":{"name":"International Journal of Information and Communication Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87698547","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

Probabilistic Multi-Tiered Grey Wolf Optimizer-Based Routing for Sustainable Sensor Networks 基于概率多层灰狼优化器的可持续传感器网络路由

International Journal of Information and Communication Technology Pub Date : 2022-10-19 DOI: 10.32890/jict2022.21.4.7

Vasudha Bahl, Anoop Kumar

{"title":"Probabilistic Multi-Tiered Grey Wolf Optimizer-Based Routing for Sustainable Sensor Networks","authors":"Vasudha Bahl, Anoop Kumar","doi":"10.32890/jict2022.21.4.7","DOIUrl":"https://doi.org/10.32890/jict2022.21.4.7","url":null,"abstract":"Wireless sensor networks (WSN) have a wide range of applications. Therefore, developing an energy-efficient methodology forestimating cluster heads (CHs) to ensure efficient data transmission has become highly relevant. Meta-heuristic strategies for optimal CHs are the current investigation inclination. As the network grows, the conventional optimization strategies emerge unsuccessful, and the outcomes of hybridizing bring performance enhancement in WSN. A Probabilistic Multi-Tiered Grey Wolf Optimizer (GWO) wasimplemented in this study on an upgraded Grey Wolf Optimizer for optimum CH selection. It used fitness value to strengthen GWO’ssearch for the best solution, resulting in even dispersal of CHs. Communication routes were updated based on routes to the CHs andbase station to lessen energy consumption by a layered-based routing scheme. GWO’s governance enhanced the network’s ability. The distributed nodes’ geographical territory was categorized into four tiers. CH was chosen grounded on the objective value that required fewer difficult control factors than existing techniques. Simulations showed that the suggested technique could extend the network’s stability time by (31.5 %) compared to hetDEEC-3, L-DDRI, Novel-LEACH-POS, DBSCDS-GWO, and P-SEP.","PeriodicalId":39396,"journal":{"name":"International Journal of Information and Communication Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79603282","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