Journal of Web Engineering最新文献_第6页

Generative Architecture for Data Imputation in Secure Blockchain-Enabled Spatiotemporal Data Management 安全区块链时空数据管理中的数据推算生成架构

IF 0.8 4区计算机科学

Journal of Web Engineering Pub Date : 2024-01-01 DOI: 10.13052/jwe1540-9589.2315

Song Li;WenFen Liu;Yan Wu;Jie Zhao

{"title":"Generative Architecture for Data Imputation in Secure Blockchain-Enabled Spatiotemporal Data Management","authors":"Song Li;WenFen Liu;Yan Wu;Jie Zhao","doi":"10.13052/jwe1540-9589.2315","DOIUrl":"https://doi.org/10.13052/jwe1540-9589.2315","url":null,"abstract":"In the era of big data, one of the most critical challenges is ensuring secure access, retrieval, and sharing of linked spatiotemporal data. To address this challenge, this paper introduces a groundbreaking blockchain-enabled evolutionary indirect feedback graph algorithm for the secure management of interconnected spatiotemporal datasets. The algorithm utilizes a generative neural network model for data imputation, predicting and generating plausible values to improve dataset completeness and integrity. The core architecture utilizes blockchain technology to optimize data retrieval efficiency and uphold robust access control mechanisms. The algorithm incorporates indirect feedback mechanisms, allowing users to provide implicit feedback through their interactions, enhancing the relevance and efficiency of data retrieval. In addition. sophisticated graph-based techniques are used to model intricate relationships between data entities, facilitating seamless data retrieval and sharing in interwoven datasets. The algorithm's data security approach includes comprehensive access control mechanisms, encryption, and authentication mechanisms, safeguarding data confidentiality and integrity. Extensive evaluations show significant enhancements in retrieval performance and access control precision, making the proposed model a promising solution for the secure management of expansive interconnected spatiotemporal data.","PeriodicalId":49952,"journal":{"name":"Journal of Web Engineering","volume":"23 1","pages":"111-163"},"PeriodicalIF":0.8,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10488442","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140342745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Increased Productivity and Reduced Waste with Robotic Process Automation and Generative AI-Powered IoE Services 利用机器人流程自动化和生成性人工智能驱动的物联网服务提高生产率并减少浪费

IF 0.8 4区计算机科学

Journal of Web Engineering Pub Date : 2024-01-01 DOI: 10.13052/jwe1540-9589.2313

Wei Lo;Chun-Ming Yang;Qiansha Zhang;Mingyuan Li

{"title":"Increased Productivity and Reduced Waste with Robotic Process Automation and Generative AI-Powered IoE Services","authors":"Wei Lo;Chun-Ming Yang;Qiansha Zhang;Mingyuan Li","doi":"10.13052/jwe1540-9589.2313","DOIUrl":"https://doi.org/10.13052/jwe1540-9589.2313","url":null,"abstract":"The convergence of robotic process automation (RPA) and generative AI (GAI) within the context of Internet of Everything (IoE) services represents a profound paradigm shift. This fusion of technologies not only streamlines routine tasks but also catalyzes innovation while harnessing the potential of interconnected devices. Such integration empowers organizations to achieve remarkable gains in efficiency and sustainability. This paper embarks on an exploration of these transformative services, designed to elevate productivity, and curtail wasteful practices in contemporary industries. By closely examining intricate case studies, we illuminate the multifaceted advantages of this integrated approach. Our investigation demonstrates how RPA accelerates the execution of repetitive processes, substantially diminishing the margin for human error and amplifying operational efficiency. In contrast, generative AI introduces a disruptive force, generating fresh ideas, designs, and solutions, thereby elevating the quality of products and services. The infusion of these cutting-edge technologies into the fabric of IoE services paves the way for organizations to attain unprecedented levels of automation, intelligence, and connectivity. Furthermore, this paper comprehensively addresses the intricate challenges and considerations associated with the proposed implementation. We delve into ethical concerns, security implications, and the necessary workforce adaptation to offer a balanced perspective on the adoption of these technologies. Additionally, we navigate through potential limitations and constraints, underscoring the imperative need for strategic planning and robust governance.","PeriodicalId":49952,"journal":{"name":"Journal of Web Engineering","volume":"23 1","pages":"53-87"},"PeriodicalIF":0.8,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10488437","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140342720","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Introducing Students to Web Engineering Topics by Teaching Web Augmentation 通过网络增强教学向学生介绍网络工程主题

IF 0.8 4区计算机科学

Journal of Web Engineering Pub Date : 2024-01-01 DOI: 10.13052/jwe1540-9589.2311

Iñigo Aldalur

{"title":"Introducing Students to Web Engineering Topics by Teaching Web Augmentation","authors":"Iñigo Aldalur","doi":"10.13052/jwe1540-9589.2311","DOIUrl":"https://doi.org/10.13052/jwe1540-9589.2311","url":null,"abstract":"Web augmentation has gained prominence as a promising approach to elevate the user experience by tailoring web content to meet diverse user needs and preferences. It offers the potential to enhance accessibility and personalization, making web experiences more engaging and inclusive. This research study examines the use of web augmentation in the context of web engineering education and its influence on student motivation. The study investigates how the integration of web augmentation techniques motivates students and enhances their learning experience. A questionnaire was administered to gather data on student perceptions and motivation levels following their exposure to web augmentation in the web engineering subject. The findings reveal that the implementation of web augmentation in the web engineering subject has positively motivated students. Students express a strong preference for web augmentation as a learning tool, citing increased engagement and a more interactive learning environment. The findings support the adoption of web augmentation techniques as a valuable pedagogical tool, enhancing the learning experience and fostering student engagement. This study contributes to the field by addressing the gap in related work that focuses on the use of web augmentation specifically in educational settings.","PeriodicalId":49952,"journal":{"name":"Journal of Web Engineering","volume":"23 1","pages":"1-26"},"PeriodicalIF":0.8,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10488440","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140342721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Hypersensitive Intelligent Filter for Detecting Explicit Content in Learning Environments 用于检测学习环境中明确内容的超灵敏智能过滤器

IF 0.8 4区计算机科学

Journal of Web Engineering Pub Date : 2024-01-01 DOI: 10.13052/jwe1540-9589.2314

Yong Yu;Xiaoguo Yin

引用次数: 0

An Intelligent Web-Based Energy Management System for Distributed Energy Resources Integration and Optimization 基于网络的分布式能源资源整合与优化智能能源管理系统

IF 0.8 4区计算机科学

Journal of Web Engineering Pub Date : 2024-01-01 DOI: 10.13052/jwe1540-9589.2316

Lijun Zhao;Qingsheng Li;Guanhua Ding

{"title":"An Intelligent Web-Based Energy Management System for Distributed Energy Resources Integration and Optimization","authors":"Lijun Zhao;Qingsheng Li;Guanhua Ding","doi":"10.13052/jwe1540-9589.2316","DOIUrl":"https://doi.org/10.13052/jwe1540-9589.2316","url":null,"abstract":"The integration of renewable energy sources into power distribution systems frequently presents challenges for conventional energy management systems (EMS) due to the unpredictable and unstable characteristics of such energy sources. As a result, novel and cutting-edge solutions are required. This paper presents an intelligent web-based energy management system (iW-EMS) specifically designed to address the integration and optimization of distributed energy resources, as outlined in the proposed approach. The system incorporates a hybrid novel optimization approach that integrates simulated annealing and cone programming to effectively manage the distribution of energy resources and attain optimal outcomes from the proposed EMS. Additionally, it leverages generative AI services to create optimal scenarios based on historical data and real-time information, ensuring adaptability to the dynamic nature of renewable energy generation, providing a user-friendly and flexible web environment for scenario planning. The proposed framework facilitates seamless communication and collaboration among stakeholders involved in renewable energy integration, while also enabling the incorporation of real-world data sources such as weather forecasts and energy consumption patterns into the planning process.","PeriodicalId":49952,"journal":{"name":"Journal of Web Engineering","volume":"23 1","pages":"165-195"},"PeriodicalIF":0.8,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10488436","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140342743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Study on Performance Improvement of Prompt Engineering for Generative AI with a Large Language Model 利用大型语言模型提高生成式人工智能提示工程性能的研究

IF 0.8 4区计算机科学

Journal of Web Engineering Pub Date : 2023-11-01 DOI: 10.13052/jwe1540-9589.2285

Daeseung Park;Gi-taek An;Chayapol Kamyod;Cheong Ghil Kim

{"title":"A Study on Performance Improvement of Prompt Engineering for Generative AI with a Large Language Model","authors":"Daeseung Park;Gi-taek An;Chayapol Kamyod;Cheong Ghil Kim","doi":"10.13052/jwe1540-9589.2285","DOIUrl":"https://doi.org/10.13052/jwe1540-9589.2285","url":null,"abstract":"In the realm of Generative AI, where various models are introduced, prompt engineering emerges as a significant technique within natural language processing-based Generative AI. Its primary function lies in effectively enhancing the results of sentence generation by large language models (LLMs). Notably, prompt engineering has gained attention as a method capable of improving LLM performance by modifying the structure of input prompts alone. In this study, we apply prompt engineering to Korean-based LLMs, presenting an efficient approach for generating specific conversational responses with less data. We achieve this through the utilization of the query transformation module (QTM). Our proposed QTM transforms input prompt sentences into three distinct query methods, breaking them down into objectives and key points, making them more comprehensible for LLMs. For performance validation, we employ Korean versions of LLMs, specifically SKT GPT-2 and Kakaobrain KoGPT-3. We compare four different query methods, including the original unmodified query, using Google SSA to assess the naturalness and specificity of generated sentences. The results demonstrate an average improvement of 11.46% when compared to the unmodified query, underscoring the efficacy of the proposed QTM in achieving enhanced performance.","PeriodicalId":49952,"journal":{"name":"Journal of Web Engineering","volume":"22 8","pages":"1187-1206"},"PeriodicalIF":0.8,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10452390","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139987275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Optimized RMDL with Transfer Learning for Sentiment Classification in the MapReduce Framework 利用迁移学习优化 RMDL，在 MapReduce 框架中进行情感分类

IF 0.8 4区计算机科学

Journal of Web Engineering Pub Date : 2023-11-01 DOI: 10.13052/jwe1540-9589.2282

Konda Adilakshmi;Malladi Srinivas;Anuradha Kodali;V. Srilakshmi

{"title":"Optimized RMDL with Transfer Learning for Sentiment Classification in the MapReduce Framework","authors":"Konda Adilakshmi;Malladi Srinivas;Anuradha Kodali;V. Srilakshmi","doi":"10.13052/jwe1540-9589.2282","DOIUrl":"https://doi.org/10.13052/jwe1540-9589.2282","url":null,"abstract":"A core task in sentiment analysis is sentiment categorization, and it is crucial to understand user feelings based on their remarks in social media or product evaluations. Due to ambiguous phrases, refusal words, and other factors, categorizing sentiment presents several challenging issues. The objective of this research is to develop a hybrid optimization-based deep learning model and MapReduce framework-based sentiment categorization approach. The review document is taken from a dataset and used in this case with the MapReduce methodology. MapReduce is a software framework and programming model for analyzing massive volumes of data that consists of two phases, mapper and reducer. BERT tokenization and aspect term extraction are executed in the mapper phase, whereas sentiment analysis is performed in the reducer stage utilizing random multimodal deep learning (RMDL) with transfer learning and AlexNet and ResNet 50 as pre-trained models. In addition, the exponential coot political algorithm (ECPA) is offered as an optimization algorithm for weight optimization in RMDL. The ECPA is obtained by combining the exponential weighted moving average model (EWMA) with the coot algorithm, as well as a political optimizer (PO). The proposed ECPA_RMDL model has acquired 90.9% precision, 89.7% recall, and 89.9% f-measure.","PeriodicalId":49952,"journal":{"name":"Journal of Web Engineering","volume":"22 8","pages":"1101-1132"},"PeriodicalIF":0.8,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10452392","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139987227","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Modified DNA-based Cryptography System in the Cloud: Deep Maxout-based Fined Tuned Key Generation 云中基于 DNA 的改良密码学系统：基于深度最大输出的微调密钥生成

IF 0.8 4区计算机科学

Journal of Web Engineering Pub Date : 2023-11-01 DOI: 10.13052/jwe1540-9589.2281

Garima Verma

{"title":"Modified DNA-based Cryptography System in the Cloud: Deep Maxout-based Fined Tuned Key Generation","authors":"Garima Verma","doi":"10.13052/jwe1540-9589.2281","DOIUrl":"https://doi.org/10.13052/jwe1540-9589.2281","url":null,"abstract":"Cloud security is a set of practices and tools created to address both internal and external security threats to businesses. Organizations must have cloud security as they implement their digital transformation schemes and include cloud-based tools and services in their infrastructure. Cryptography is a mechanism for preventing illegal access to data. In this paper, modified DNA-based cryptography (MDNAC), which is defined as data hiding with respect to DNA sequence is used. The steps involved in the proposed MDNAC is: encryption and decryption with optimal key generation. A way of converting plain text into cipher text is known as encryption. Two components make up the encryption process: a key and an encryption algorithm. For the encryption algorithm, we employed a modified DNA algorithm. In the decryption phase, the reverse operation is performed to get the plain text from the cipher text. Moreover, a deep learning model is used for generating the keys; the model used is deep maxout. To ensure the appropriate key generation process, the weights of the deep maxout are optimally tuned by the new feedback assisted Archimedes optimization (FAAO) algorithm. Based on the generated keys, the encryption process takes place. Finally, the performance of MDNAC is evaluated using conventional methods with respect to different measures. Additionally, the MDNAC obtained a correlation value of 0.20297 for the mean case scenario, despite the fact that the corresponding values are 0.02%, 0.17%, 0.2%, 0.7%, 0.12%,0.41%, 0.86%, and 0.46% as compared to the other models such as FAT, AOA, BMO, COOT, BOA, SSO, WOA, and LES respectively.","PeriodicalId":49952,"journal":{"name":"Journal of Web Engineering","volume":"22 8","pages":"1075-1099"},"PeriodicalIF":0.8,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10452389","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139987102","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

LUBM4OBDA: Benchmarking OBDA Systems with Inference and Meta Knowledge LUBM4OBDA：利用推理和元知识对 OBDA 系统进行基准测试

IF 0.8 4区计算机科学

Journal of Web Engineering Pub Date : 2023-11-01 DOI: 10.13052/jwe1540-9589.2284

Julián Arenas-Guerrero;María S. Pérez;Oscar Corcho

{"title":"LUBM4OBDA: Benchmarking OBDA Systems with Inference and Meta Knowledge","authors":"Julián Arenas-Guerrero;María S. Pérez;Oscar Corcho","doi":"10.13052/jwe1540-9589.2284","DOIUrl":"https://doi.org/10.13052/jwe1540-9589.2284","url":null,"abstract":"Ontology-based data access focuses on enabling query evaluation over heterogeneous relational databases according to the model represented by an ontology. The relationships between the ontology and the data sources are commonly defined with declarative mappings, which are used by systems to perform SPARQL-to-SQL query translation or to generate RDF dumps from the relational databases. Besides the potential homogenization of data because of using an ontology, some additional advantages of this paradigm are that it may allow applying reasoning thanks to the ontology, as well as querying for meta knowledge, which describes statements with information such as provenance or certainty. In this paper, (i) we adapt a widely used RDF graph store benchmark, namely LUBM, for ontology-based data access, (ii) extend the benchmark for the evaluation of queries that exploit meta knowledge, and (iii) apply it for performance evaluation of state-of-the-art declarative mapping systems. Our proposal, the LUBM4OBDA Benchmark, considers inference capabilities that are not covered by previous ontology-based data access benchmarks, and it is the first one for the evaluation of meta knowledge and the RDF-star data model. The experimental evaluation shows that current virtualization systems cannot handle some advanced inference tasks, and that optimizations are needed to scale RDF-star materialization.","PeriodicalId":49952,"journal":{"name":"Journal of Web Engineering","volume":"22 8","pages":"1163-1185"},"PeriodicalIF":0.8,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10452391","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139987274","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Managing Web-based Information Resources Under Uncertainty: A Probabilistic Approach 不确定情况下的网络信息资源管理：概率方法

IF 0.8 4区计算机科学

Journal of Web Engineering Pub Date : 2023-11-01 DOI: 10.13052/jwe1540-9589.2283

Asma Omri;Mohamed-Nazih Omri

{"title":"Managing Web-based Information Resources Under Uncertainty: A Probabilistic Approach","authors":"Asma Omri;Mohamed-Nazih Omri","doi":"10.13052/jwe1540-9589.2283","DOIUrl":"https://doi.org/10.13052/jwe1540-9589.2283","url":null,"abstract":"“Uncertainty” is related to working with inaccurate data, imprecise and incomplete information, and unreliable results that can lead to irrational decisions. Several approaches to managing uncertain data on the Web have been proposed in the literature to resolve this problem. These approaches have failed to find the solution to this problem with accuracy and performance. Our study aims to propose a new probabilistic approach to manage Web information resources in an uncertain large-scale cloud environment. Our approach is based on three main steps: (1) modelling uncertain Web resources, (2) computing HTTP request model, and (3) interpretation and evaluation of uncertain Web resources in a context of classic hypertext navigation. The experimental study shows that the analysis of the execution time necessary for the composition of the services, by our approach, is negligible, compared to that of the other studied approaches. The algorithm that deals with the impact of the variation in the number of nodes, which we have proposed, has also been evaluated and checks all the possibilities in polynomial time and can adapt to many possibilities of multiplexing of values.","PeriodicalId":49952,"journal":{"name":"Journal of Web Engineering","volume":"22 8","pages":"1133-1161"},"PeriodicalIF":0.8,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10452388","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139987276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0