发布求助
文献互助 智能选刊 最新文献

International Journal on Semantic Web and Information Systems最新文献

筛选
英文 中文
A Lightweight Cross-Domain Authentication Protocol for Trusted Access to Industrial Internet 面向工业互联网可信访问的轻量级跨域认证协议
4区 计算机科学
International Journal on Semantic Web and Information Systems Pub Date : 2023-11-08 DOI: 10.4018/ijswis.333481
Tiantian Zhang, Zhiyong Zhang, Kejing Zhao, Brij B. Gupta, Varsha Arya
{"title":"A Lightweight Cross-Domain Authentication Protocol for Trusted Access to Industrial Internet","authors":"Tiantian Zhang, Zhiyong Zhang, Kejing Zhao, Brij B. Gupta, Varsha Arya","doi":"10.4018/ijswis.333481","DOIUrl":"https://doi.org/10.4018/ijswis.333481","url":null,"abstract":"This paper proposes a hierarchical framework for industrial Internet device authentication and trusted access as well as a mechanism for industrial security state perception, and designs a cross-domain authentication scheme for devices on this basis. The scheme obtains hardware device platform configuration register (PCR) values and platform integrity measure through periodic perception, completes device identity identification and integrity measure verification when device accessing and data transmission requesting, ensures secure and trustworthy access and interoperation of devices, and designs a cross-domain authentication model for trustworthy access of devices and related security protocols. Through the security analysis, this scheme has good anti-attack abilities, and it can effectively protect against common replay attacks, impersonation attacks, and man-in-the-middle attacks.","PeriodicalId":54934,"journal":{"name":"International Journal on Semantic Web and Information Systems","volume":" 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135341002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Scalable Sharding Protocol Based on Cross-Shard Dynamic Transaction Confirmation for Alliance Chain in Intelligent Systems 基于智能系统联盟链跨分片动态交易确认的可扩展分片协议
4区 计算机科学
International Journal on Semantic Web and Information Systems Pub Date : 2023-11-07 DOI: 10.4018/ijswis.333063
Nigang Sun, Junlong Li, Yining Liu, Varsha Arya
{"title":"A Scalable Sharding Protocol Based on Cross-Shard Dynamic Transaction Confirmation for Alliance Chain in Intelligent Systems","authors":"Nigang Sun, Junlong Li, Yining Liu, Varsha Arya","doi":"10.4018/ijswis.333063","DOIUrl":"https://doi.org/10.4018/ijswis.333063","url":null,"abstract":"Applying sharding protocol to address scalability challenges in alliance chain is popular. However, inevitable cross-shard transactions significantly hamper performance even at low ratios, negating scalability benefits when they dominate as shard scale grows. This article proposes a new sharding protocol suitable for alliance chain that reduces cross-shard transaction impact, improving system performance. It adopts a directed acyclic graph ledger, enabling parallel transaction processing, and employs dynamic transaction confirmation consensus for simplicity. The protocol's sharding process and node score mechanism can deter malicious behavior. Experiments show that compared with mainstream sharding protocols, the protocol performs better when affected by cross-shard transactions. Moreover, its throughput has shown improvement compared to high-performance protocols without cross-shard transactions. This solution suits systems requiring high throughput and reliability, maintaining a stable performance advantage even as cross-shard transactions increase to the usual maximum ratio.","PeriodicalId":54934,"journal":{"name":"International Journal on Semantic Web and Information Systems","volume":"107 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135539376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Rule-Based Expert Advisory System for Restaurants Using Machine Learning and Knowledge-Based Systems Techniques 使用机器学习和知识系统技术的基于规则的餐馆专家咨询系统
4区 计算机科学
International Journal on Semantic Web and Information Systems Pub Date : 2023-11-07 DOI: 10.4018/ijswis.333064
Khalid M. O. Nahar, Mustafa Banikhalaf, Firas Ibrahim, Mohammed Abual-Rub, Ammar Almomani, Brij B. Gupta
{"title":"A Rule-Based Expert Advisory System for Restaurants Using Machine Learning and Knowledge-Based Systems Techniques","authors":"Khalid M. O. Nahar, Mustafa Banikhalaf, Firas Ibrahim, Mohammed Abual-Rub, Ammar Almomani, Brij B. Gupta","doi":"10.4018/ijswis.333064","DOIUrl":"https://doi.org/10.4018/ijswis.333064","url":null,"abstract":"A healthy diet and daily physical activity are a cornerstone in preventing serious diseases and conditions such as heart disease, diabetes, high blood pressure, and hypertension. They also play an important role in the healthy growth and cognitive development for young and old people. Thus, this paper presents a new restaurant advisory system (RAS) using artificial intelligence (AI) techniques such as machine learning, decision tree, and rule-based methods. The proposed system makes a smart decision based on the user's input information to generate a list of appropriate meals that fit his/her health condition. For accuracy and efficiency measurement procedure in the decision-making process, a dataset from 1100 participants suffering from several diseases such as allergy, age, and body has been created and validated. The performance of the RAS was tested using Visual Basic.net Framework and prolog language. The RAS achieves an accuracy of 100% by testing 30 different live cases.","PeriodicalId":54934,"journal":{"name":"International Journal on Semantic Web and Information Systems","volume":"106 S3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135540394","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Intelligent Systems in Motion 运动中的智能系统
4区 计算机科学
International Journal on Semantic Web and Information Systems Pub Date : 2023-11-01 DOI: 10.4018/ijswis.333056
Yiyi Cai, Tuanfa Qin, Yang Ou, Rui Wei
{"title":"Intelligent Systems in Motion","authors":"Yiyi Cai, Tuanfa Qin, Yang Ou, Rui Wei","doi":"10.4018/ijswis.333056","DOIUrl":"https://doi.org/10.4018/ijswis.333056","url":null,"abstract":"Simultaneous localization and mapping (SLAM) serves as a cornerstone in autonomous systems and has seen exponential growth in its roles, particularly in facilitating advanced path planning solutions. One emerging avenue of research that is rapidly evolving is the incorporation of multi-sensor fusion techniques to enhance SLAM-based path planning. The paper initiates with a thorough review of various sensor types and their attributes before covering a broad spectrum of both traditional and contemporary algorithms for multi-sensor fusion within SLAM. Performance evaluation metrics pertinent to SLAM and sensor fusion are explored. A special focus is laid on the interconnected roles and applications of multi-sensor fusion in SLAM-based path planning, discussing its significance in navigation scenarios as well as addressing challenges such as computational burden and real-time implementation. This paper sets the stage for future developments in creating more robust, resilient, and efficient SLAM-based path planning systems enabled by multi-sensor fusion.","PeriodicalId":54934,"journal":{"name":"International Journal on Semantic Web and Information Systems","volume":"19 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135326240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","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 Semantic Segmentation Approach Using Improved SegNet and DSC in Remote Sensing Images 基于改进SegNet和DSC的遥感图像语义分割新方法
4区 计算机科学
International Journal on Semantic Web and Information Systems Pub Date : 2023-10-25 DOI: 10.4018/ijswis.332769
Wanjun Chang, Dongfang Zhang
{"title":"A Novel Semantic Segmentation Approach Using Improved SegNet and DSC in Remote Sensing Images","authors":"Wanjun Chang, Dongfang Zhang","doi":"10.4018/ijswis.332769","DOIUrl":"https://doi.org/10.4018/ijswis.332769","url":null,"abstract":"An improved SegNet semantic segmentation model is proposed to address the issue of traditional classification algorithms and shallow learning algorithms not being suitable for extracting information from high-resolution remote sensing images. During the research process, space remote sensing images obtained from the GF-1 satellite were used as the data source. In order to improve the operational efficiency of the encoding network, the pooling layer in the encoding network is removed and the ordinary convolutional layer is replaced with a depth-wise separable convolution. By decoding the last layer of the network to obtain the reshaped output results, and then calculating the probability of each classification using a Softmax classifier, the classification of pixels can be achieved. The output result of the classifier is the final result of the remote sensing image semantic segmentation model. The results showed that the proposed algorithm had the highest Kappa coefficient of 0.9531, indicating good classification performance.","PeriodicalId":54934,"journal":{"name":"International Journal on Semantic Web and Information Systems","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135168664","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Query-Guided Refinement and Dynamic Spans Network for Video Highlight Detection and Temporal Grounding in Online Information Systems 在线信息系统中视频亮点检测和时间接地的查询导向细化和动态跨度网络
4区 计算机科学
International Journal on Semantic Web and Information Systems Pub Date : 2023-10-25 DOI: 10.4018/ijswis.332768
Yifang Xu, Yunzhuo Sun, Zien Xie, Benxiang Zhai, Youyao Jia, Sidan Du
{"title":"Query-Guided Refinement and Dynamic Spans Network for Video Highlight Detection and Temporal Grounding in Online Information Systems","authors":"Yifang Xu, Yunzhuo Sun, Zien Xie, Benxiang Zhai, Youyao Jia, Sidan Du","doi":"10.4018/ijswis.332768","DOIUrl":"https://doi.org/10.4018/ijswis.332768","url":null,"abstract":"With the surge in online video content, finding highlights and key video segments have garnered widespread attention. Given a textual query, video highlight detection (HD) and temporal grounding (TG) aim to predict frame-wise saliency scores from a video while concurrently locating all relevant spans. Despite recent progress in DETR-based works, these methods crudely fuse different inputs in the encoder, which limits effective cross-modal interaction. To solve this challenge, the authors design QD-Net (query-guided refinement and dynamic spans network) tailored for HD&TG. Specifically, they propose a query-guided refinement module to decouple the feature encoding from the interaction process. Furthermore, they present a dynamic span decoder that leverages learnable 2D spans as decoder queries, which accelerates training convergence for TG. On QVHighlights dataset, the proposed QD-Net achieves 61.87 HD-HIT@1 and 61.88 TG-mAP@0.5, yielding a significant improvement of +1.88 and +8.05, respectively, compared to the state-of-the-art method.","PeriodicalId":54934,"journal":{"name":"International Journal on Semantic Web and Information Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135167104","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Deep Learning in Chinese Text Information Extraction Model for Coastal Biodiversity 海岸带生物多样性中文文本信息提取模型的深度学习研究
4区 计算机科学
International Journal on Semantic Web and Information Systems Pub Date : 2023-10-10 DOI: 10.4018/ijswis.331756
Xiujuan Wang, Xuerong Li
{"title":"Deep Learning in Chinese Text Information Extraction Model for Coastal Biodiversity","authors":"Xiujuan Wang, Xuerong Li","doi":"10.4018/ijswis.331756","DOIUrl":"https://doi.org/10.4018/ijswis.331756","url":null,"abstract":"In the coastal areas of China, scientists have collected nearly 500 species of coastal plants and seaweeds. The collected information includes species description, morphological characteristics, habitat distribution and resource value of plants in China. By effectively extracting Chinese text information, this article establishes a Chinese text information extraction model based on DL. This article is based on short-term and short-term memory artificial neural networks for short text classification. In addition, this article also integrates the L-MFCNN models of MFCNN for short text classification. Comparing the two methods with traditional text recognition algorithms, information extraction based on syntax analysis and deep learning, the results show that, compared with the comparison method, the recognition accuracy of Chinese text information of this neural network model can reach 96.69%. Through model training and parameter adjustment, Chinese text information of coastal biodiversity can be quickly extracted, and species categories or names can be identified.","PeriodicalId":54934,"journal":{"name":"International Journal on Semantic Web and Information Systems","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136293686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Enforcing Information System Security 加强资讯系统保安
4区 计算机科学
International Journal on Semantic Web and Information Systems Pub Date : 2023-10-09 DOI: 10.4018/ijswis.331396
Abdullah Almuqrin, Ibrahim Mutambik, Abdulaziz Alomran, Justin Zuopeng Zhang
{"title":"Enforcing Information System Security","authors":"Abdullah Almuqrin, Ibrahim Mutambik, Abdulaziz Alomran, Justin Zuopeng Zhang","doi":"10.4018/ijswis.331396","DOIUrl":"https://doi.org/10.4018/ijswis.331396","url":null,"abstract":"Every year brings numerous security breaches that lead to highly destructive ransomware attacks, data leaks, and reputational damage to governments, companies, and other organizations around the world. As a result, there is a growing need to ensure that workers comply with critical policies put in place to avoid such incidents. This study investigated how factors from social bond theory and involvement theory affected compliance with information security policies and procedures. All of the factors examined were found to have a significant influence on attitudes about compliance, and attitude had a significant impact on intention to comply. The findings of this study revealed that it is vital to raise employees' awareness about compliance with security policies by improving their information security behavior. Moreover, all the factors were found to have a significant influence on the attitude of employees towards compliance with their organizational information security policies and procedures.","PeriodicalId":54934,"journal":{"name":"International Journal on Semantic Web and Information Systems","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135046595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Risk Assessment Modeling of Urban Railway Investment and Financing Based on Improved SVM Model for Advanced Intelligent Systems 基于改进SVM的先进智能系统城市轨道交通投融资风险评估建模
4区 计算机科学
International Journal on Semantic Web and Information Systems Pub Date : 2023-10-09 DOI: 10.4018/ijswis.331596
Rupeng Ren, Jun Fang, Jun Hu, Xiaotong Ma, Xiaoyao Li
{"title":"Risk Assessment Modeling of Urban Railway Investment and Financing Based on Improved SVM Model for Advanced Intelligent Systems","authors":"Rupeng Ren, Jun Fang, Jun Hu, Xiaotong Ma, Xiaoyao Li","doi":"10.4018/ijswis.331596","DOIUrl":"https://doi.org/10.4018/ijswis.331596","url":null,"abstract":"A risk assessment method for urban railway investment and financing based on an improved SVM model under big data is proposed. First, the inner product in the traditional SVM is replaced by a kernel function to obtain a more accurate non-linear SVM, and a classifier with high classification accuracy is achieved by finding the optimal separating hyperplane. Then, a risk index system is constructed based on the grounded theory combining with intuitionistic fuzzy sets, interval intuitionistic fuzzy sets, weighted averaging operators and the distance measure, and the selection method of assessment indexes is analyzed based on the statistical methods. Finally, the SVM model with fuzzy membership is obtained by fuzzifying the input samples of the SVM based on the given rules of fuzzy membership design. The results show that the maximum relative error between the final test results and the actual value is 0.316%, and the minimum relative error is 0.133% with three different test sets being tested in the proposed method, which can accurately assess the investment.","PeriodicalId":54934,"journal":{"name":"International Journal on Semantic Web and Information Systems","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135047417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
TGCN-Bert Emoji Prediction in Information Systems Using TCN and GCN Fusing Features Based on BERT 基于BERT的TCN与GCN融合特征的信息系统TGCN-Bert表情符号预测
4区 计算机科学
International Journal on Semantic Web and Information Systems Pub Date : 2023-09-29 DOI: 10.4018/ijswis.331082
Zhangping Yang, Xia Ye, Hantao Xu
{"title":"TGCN-Bert Emoji Prediction in Information Systems Using TCN and GCN Fusing Features Based on BERT","authors":"Zhangping Yang, Xia Ye, Hantao Xu","doi":"10.4018/ijswis.331082","DOIUrl":"https://doi.org/10.4018/ijswis.331082","url":null,"abstract":"In recent studies, graph convolutional neural networks (GCNs) have been used to solve different natural language processing (NLP) tasks. However, few researches apply graph convolutional networks to short text classification. Emoji prediction, as a complex sentiment analysis task, has received even less attention. In this work, the authors propose TGCN-Bert which combines pre-trained BERT temporal convolutional networks (TCNs) and graph convolutional networks for short text classification and emoji prediction. They initialize the nodes with the help of BERT and define the edges in text graph based on the term frequency-inverse document frequency (TF-IDF) and positive point-wise mutual information (PPMI). They employ the model for emoji prediction task, and a metric based on emoji clustering is developed to better measure the validity of emoji prediction results. To validate the performance of TGCN-Bert, they compare it with other GCN variants on short text classification datasets and emoji prediction datasets; experiments show that TGCN-Bert achieves better performance.","PeriodicalId":54934,"journal":{"name":"International Journal on Semantic Web and Information Systems","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135193404","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
首页 上一页 下一页 尾页
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整，为了账户安全，请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们：info@booksci.cn Book学术提供免费学术资源搜索服务，方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号：481959085
Book学术官方微信