Journal of Web Engineering最新文献_第10页

Generating Automated Layout Design Using a Multi-Population Genetic Algorithm 用多群体遗传算法生成自动化布局设计

IF 0.8 4区计算机科学

Journal of Web Engineering Pub Date : 2023-03-01 DOI: 10.13052/jwe1540-9589.2227

Arun Kumar;Kamlesh Dutta;Abhishek Srivastava

{"title":"Generating Automated Layout Design Using a Multi-Population Genetic Algorithm","authors":"Arun Kumar;Kamlesh Dutta;Abhishek Srivastava","doi":"10.13052/jwe1540-9589.2227","DOIUrl":"https://doi.org/10.13052/jwe1540-9589.2227","url":null,"abstract":"The problem of space layout planning, constrained by a number of functional and non-functional requirements, not only challenges architects in coming up with a good solution, but is more difficult to give an alternative. Genetic algorithms (GAs) have been found suitable for solving the problem of providing alternative solutions. However, GAs have been found to be susceptible to the problem of local maxima and plateau conditions. To overcome these problems, the multi-population genetic algorithm (MPGA) improves the diversity of the population, thereby improving the quality of the solution. Algorithms are employed to automatically generate layout designs in best-connected ways, either rectangular or square. The area of the floor plans is optimized to minimize the extra area in the layout. The layouts are divided into four groups and these groups are related to each other based on highest proximity. Layout designs have been simulated using GA and MPGA algorithms and MPGA has shown significant improvement in computation time as well as quality over alternative solutions. In addition, the algorithm also provides the architect with the facility to interactively modify the dimensions and adjacent criteria during the design phase. The system works on clouds and shows the result for inputs passed by an architect.","PeriodicalId":49952,"journal":{"name":"Journal of Web Engineering","volume":"22 2","pages":"357-384"},"PeriodicalIF":0.8,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/10243554/10243559/10247504.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50354916","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

Reliable and Scalable Big-Data Applications in Edge Cloud Environments 边缘云环境中可靠且可扩展的大数据应用

IF 0.8 4区计算机科学

Journal of Web Engineering Pub Date : 2023-03-01

In-Young Ko;Abhishek Srivastava;Michael Mrissa

引用次数: 0

Just-in-Time Defect Prediction for Self-Driving Software via a Deep Learning Model 基于深度学习模型的自动驾驶软件实时缺陷预测

IF 0.8 4区计算机科学

Journal of Web Engineering Pub Date : 2023-03-01 DOI: 10.13052/jwe1540-9589.2225

Jiwon Choi;Taeyoung Kim;Duksan Ryu;Jongmoon Baik;Suntae Kim

{"title":"Just-in-Time Defect Prediction for Self-Driving Software via a Deep Learning Model","authors":"Jiwon Choi;Taeyoung Kim;Duksan Ryu;Jongmoon Baik;Suntae Kim","doi":"10.13052/jwe1540-9589.2225","DOIUrl":"https://doi.org/10.13052/jwe1540-9589.2225","url":null,"abstract":"Edge computing is applied to various applications and is typically applied to autonomous driving software. As the self-driving system becomes complicated and the proportion of software increases, accidents caused by software defects increase. Just-in-time (JIT) defect prediction is a technique that identifies defects during the software development phase, which helps developers prioritize code inspection. Many researchers have proposed various JIT models, but it is difficult to find a case in which JIT defect prediction was performed on edge computing applications. In particular, due to the characteristic of self-driving software, which is frequently updated, there is a high risk of inducing defects into the update process. In this work, we propose a JIT defect prediction model via deep learning for edge computing applications called JIT4EA. Our research goal is to develop an effective model to predict defects in edge computing applications. To do this, we perform defect prediction on self-driving software, a representative edge computing application. We use pre-trained unified cross-modal pre-training for code representation (UniXCoder) to embed commit messages and code changes. We use bidirectional-LSTM(Bi-LSTM) for context and semantic learning. As a result of the experiment, it was confirmed that the proposed JIT4EA performed better than state-of-the-art methods and could reduce the code inspection effort.","PeriodicalId":49952,"journal":{"name":"Journal of Web Engineering","volume":"22 2","pages":"303-326"},"PeriodicalIF":0.8,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/10243554/10243559/10243560.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50354808","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

Visual Quality Assessment of Point Clouds Compared to Natural Reference Images 点云与自然参考图像的视觉质量评估

IF 0.8 4区计算机科学

Journal of Web Engineering Pub Date : 2023-03-01 DOI: 10.13052/jwe1540-9589.2232

Aram Baek;Minseop Kim;Sohee Son;Sangwoo Ahn;Jeongil Seo;Hui Yong Kim;Haechul Choi

{"title":"Visual Quality Assessment of Point Clouds Compared to Natural Reference Images","authors":"Aram Baek;Minseop Kim;Sohee Son;Sangwoo Ahn;Jeongil Seo;Hui Yong Kim;Haechul Choi","doi":"10.13052/jwe1540-9589.2232","DOIUrl":"https://doi.org/10.13052/jwe1540-9589.2232","url":null,"abstract":"This paper proposes a point cloud (PC) visual quality assessment (VQA) framework that reflects the human visual system (HVS). The proposed framework compares natural images acquired using a digital camera and PC images generated via 2D projection in terms of appropriate objective quality evaluation metrics. Humans primarily consume natural images; thus, human knowledge is typically formed from natural images. Thus, natural images can be more reliable reference data than PC data. The proposed framework performs an image alignment process based on feature matching and image warping to use the natural images as a reference which enhances the similarities of the acquired natural and corresponding PC images. The framework facilitates identifying which objective VQA metrics can be used to reflect the HVS effectively. We constructed a database of natural images and three PC image qualities, and objective and subjective VQAs were conducted. The experimental result demonstrates that the acceptable consistency among different PC qualities appears in the metrics that compare the global structural similarity of images. We found that the SSIM, MAD, and GMSD achieved remarkable Spearman rank-order correlation coefficient scores of 0.882, 0.871, and 0.930, respectively. Thus, the proposed framework can reflect the HVS by comparing the global structural similarity between PC and natural reference images.","PeriodicalId":49952,"journal":{"name":"Journal of Web Engineering","volume":"22 3","pages":"405-432"},"PeriodicalIF":0.8,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/10243554/10243555/10247500.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50346757","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

Features for a Style for Push-Communication Integrated Rich Web-Based Applications 一种推送通信风格的特征集成了基于富Web的应用程序

IF 0.8 4区计算机科学

Journal of Web Engineering Pub Date : 2023-03-01 DOI: 10.13052/jwe1540-9589.2236

Nalaka R. Dissanayake;Dharshana Kasthurirathna;Shantha Jayalal

{"title":"Features for a Style for Push-Communication Integrated Rich Web-Based Applications","authors":"Nalaka R. Dissanayake;Dharshana Kasthurirathna;Shantha Jayalal","doi":"10.13052/jwe1540-9589.2236","DOIUrl":"https://doi.org/10.13052/jwe1540-9589.2236","url":null,"abstract":"The development aspects of rich web-based applications have evolved; however, abstract concepts, like styles and patterns, are still lacking. If an abstract style for rich web-based applications is available, it can support the whole engineering process in many ways, like assisting in designing aspects and the system's evolution. We have produced an abstract architectural style named RiWAArch style for standard rich web-based applications, and we are working on extending the same to realize integrating push-communication. Push-communication has become a contemporary requirement in developing features like real-time notifications in rich web-based applications. However, the features to be expected from a style to realize the integration of the push-communication are not yet recognized. This concept paper proposes a set of features to be expected from a style for push-communication-integrated rich web-based applications. Our ongoing research will later utilize these features to form requirements and design a comprehensive style by extending the RiWAArch style to realize the abstract features of integrating true push-communication into rich web-based applications.","PeriodicalId":49952,"journal":{"name":"Journal of Web Engineering","volume":"22 3","pages":"515-542"},"PeriodicalIF":0.8,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/10243554/10243555/10243556.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50346759","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

Improving Phishing Website Detection using a Hybrid Two-level Framework for Feature Selection and XGBoost Tuning 使用用于特征选择和XGBoost调整的混合两级框架改进钓鱼网站检测

IF 0.8 4区计算机科学

Journal of Web Engineering Pub Date : 2023-03-01 DOI: 10.13052/jwe1540-9589.2237

Luka Jovanovic;Dijana Jovanovic;Milos Antonijevic;Bosko Nikolic;Nebojsa Bacanin;Miodrag Zivkovic;Ivana Strumberger

{"title":"Improving Phishing Website Detection using a Hybrid Two-level Framework for Feature Selection and XGBoost Tuning","authors":"Luka Jovanovic;Dijana Jovanovic;Milos Antonijevic;Bosko Nikolic;Nebojsa Bacanin;Miodrag Zivkovic;Ivana Strumberger","doi":"10.13052/jwe1540-9589.2237","DOIUrl":"https://doi.org/10.13052/jwe1540-9589.2237","url":null,"abstract":"In the last few decades, the World Wide Web has become a necessity that offers numerous services to end users. The number of online transactions increases daily, as well as that of malicious actors. Machine learning plays a vital role in the majority of modern solutions. To further improve Web security, this paper proposes a hybrid approach based on the eXtreme Gradient Boosting (XGBoost) machine learning model optimized by an improved version of the well-known metaheuristics algorithm. In this research, the improved firefly algorithm is employed in the two-tier framework, which was also developed as part of the research, to perform both the feature selection and adjustment of the XGBoost hyper-parameters. The performance of the introduced hybrid model is evaluated against three instances of well-known publicly available phishing website datasets. The performance of novel introduced algorithms is additionally compared against cutting-edge metaheuristics that are utilized in the same framework. The first two datasets were provided by Mendeley Data, while the third was acquired from the University of California, Irvine machine learning repository. Additionally, the best performing models have been subjected to SHapley Additive exPlanations (SHAP) analysis to determine the impact of each feature on model decisions. The obtained results suggest that the proposed hybrid solution achieves a superior performance level in comparison to other approaches, and that it represents a perspective solution in the domain of web security.","PeriodicalId":49952,"journal":{"name":"Journal of Web Engineering","volume":"22 3","pages":"543-574"},"PeriodicalIF":0.8,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/10243554/10243555/10247501.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50424078","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: 1

An Automation Script Generation Technique for the Smart Home 一种用于智能家居的自动化脚本生成技术

IF 0.8 4区计算机科学

Journal of Web Engineering Pub Date : 2023-03-01 DOI: 10.13052/jwe1540-9589.2222

Jiayi Kuang;Gang Xue;Zeming Yan;Jing Liu

{"title":"An Automation Script Generation Technique for the Smart Home","authors":"Jiayi Kuang;Gang Xue;Zeming Yan;Jing Liu","doi":"10.13052/jwe1540-9589.2222","DOIUrl":"https://doi.org/10.13052/jwe1540-9589.2222","url":null,"abstract":"A home automation system means monitoring and controlling various kinds of devices in the home remotely using the Internet of things (IoT). Technologies such as natural language processing techniques, user-friendly visual programming, and machine intelligence programming are already available for home automation. For such systems, the increase in the number of devices often makes users focused on the system's ability to perform complex or composing tasks. However, some existing natural language processing systems can only perform simple tasks and cannot meet users' needs. Thus, it is difficult for users to develop the home automation systems they need using visual programming systems because of the large amount of programming knowledge required. Meanwhile, automatic programming without user action can only write a few lines of code and implement little functionality. There are relatively few tools available for generating home automation scripting languages. To address this problem, we propose a practical method for generating executable home automation scripts using Chinese texts. Our method includes the following steps: it extracts critical information from the command sentences in Chinese; it uses first-order logic to check the validity of the extracted information; based on the validation, the correct sentences are mapped into the intermediate language scripts, which can interface with different home platforms. We conducted experiments on Home Assistant, converted intermediate scripts to Home Assistant, and collected 600 scenario descriptions. The experimental results show that the method can automatically generate executable scripts for the Home Assistant platform, and the correct rate was 93.66%.","PeriodicalId":49952,"journal":{"name":"Journal of Web Engineering","volume":"22 2","pages":"221-254"},"PeriodicalIF":0.8,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/10243554/10243559/10247495.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50425767","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 Semantics-Preserving Approach for Extracting RDF Knowledge from Object-Oriented Databases 一种从面向对象数据库中提取RDF知识的语义保持方法

IF 0.8 4区计算机科学

Journal of Web Engineering Pub Date : 2023-03-01 DOI: 10.13052/jwe1540-9589.2221

Jing Shan;Jiawen Lu;Xu Chen;Li Yan;Zongmin Ma

引用次数: 0

Using LDA Topic Modeling to Understand Regrowth Factors of the Chinese Gaming Industry in the COVID-19 Era: Current Situation, Future and Predicament 运用LDA主题模型理解新冠肺炎时代中国博彩业的再生因素：现状、未来与困境

IF 0.8 4区计算机科学

Journal of Web Engineering Pub Date : 2023-03-01 DOI: 10.13052/jwe1540-9589.2233

Yi-Qian Han;Won-Jun Jeong;Gi-Sung Oh;Seok Hee Oh;Taeg-Keun Whangbo

{"title":"Using LDA Topic Modeling to Understand Regrowth Factors of the Chinese Gaming Industry in the COVID-19 Era: Current Situation, Future and Predicament","authors":"Yi-Qian Han;Won-Jun Jeong;Gi-Sung Oh;Seok Hee Oh;Taeg-Keun Whangbo","doi":"10.13052/jwe1540-9589.2233","DOIUrl":"https://doi.org/10.13052/jwe1540-9589.2233","url":null,"abstract":"The gaming industry, which was among the industries least affected by the COVID-19 outbreak, exhibited positive growth trends during the COVID-19 period. This paper explores the impact of COVID-19 on the gaming industry by analyzing news texts from 2020 to 2022 using text mining and LDA (latent Dirichlet allocation) topic classification, and visualizing charts. The study focuses on three themes, namely the current situation, the future, and possible problems of China's game industry in the post-epidemic era. The findings of this study suggest that the development of the game industry during the COVID-19 outbreak prompted the government to regulate policies and promote the transformation of game companies, which had a positive impact on the development of China's game industry. However, this study also found that due to the effects of COVID-19, society and the government have increased their focus on the time management of underage game users, which poses a significant challenge to the games industry. This paper recommends improvements from three perspectives, namely society, policy, and enterprise, with the aim of contributing to the long-term development of China's game industry.","PeriodicalId":49952,"journal":{"name":"Journal of Web Engineering","volume":"22 3","pages":"433-464"},"PeriodicalIF":0.8,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/10243554/10243555/10247499.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50424076","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 and Analysis of a New Hybrid Approach for Localization in Wireless Sensor Networks 一种新的混合定位方法在无线传感器网络中的研究与分析

IF 0.8 4区计算机科学

Journal of Web Engineering Pub Date : 2023-03-01 DOI: 10.13052/jwe1540-9589.2224

Rupendra Pratap Singh Hada;Uttkarsh Aggarwal;Abhishek Srivastava

{"title":"A Study and Analysis of a New Hybrid Approach for Localization in Wireless Sensor Networks","authors":"Rupendra Pratap Singh Hada;Uttkarsh Aggarwal;Abhishek Srivastava","doi":"10.13052/jwe1540-9589.2224","DOIUrl":"https://doi.org/10.13052/jwe1540-9589.2224","url":null,"abstract":"Accurate localization of nodes in a wireless sensor network (WSN) is imperative for several important applications. The use of global positioning systems (GPS) for localization is the natural approach in most domains. In WSNs, however, the use of GPS is challenging because of the constrained nature of deployed nodes as well as the often inaccessible sites of WSN nodes deployment. Several approaches for localization without the use of GPS and harnessing the capabilities of the received signal strength indicator (RSSI) exist in literature, but each of these makes the simplifying assumption that all the WSN nodes are within the communication range of every other node. In this paper, we go beyond this assumption and propose a hybrid technique for node localization in large WSN deployments. The hybrid technique comprises a loose combination of a machine learning (ML) based approach for localization involving random forest and a multilateration approach. This hybrid approach takes advantage of the accuracy of ML localization and the iterative capabilities of multilateration. We demonstrate the efficacy of the proposed approach through experiments on a simulated set-up and follow it up with a feasibility demonstration through a prototypical implementation in the real world.","PeriodicalId":49952,"journal":{"name":"Journal of Web Engineering","volume":"22 2","pages":"279-302"},"PeriodicalIF":0.8,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/iel7/10243554/10243559/10247497.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50354807","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