Computers最新文献_第6页

Moving towards a Mutant-Based Testing Tool for Verifying Behavior Maintenance in Test Code Refactorings 迈向基于突变的测试工具，用于验证测试代码重构中的行为维护

Computers Pub Date : 2023-11-13 DOI: 10.3390/computers12110230

Tiago Samuel Rodrigues Teixeira, Fábio Fagundes Silveira, Eduardo Martins Guerra

引用次数: 0

DephosNet: A Novel Transfer Learning Approach for Dephosphorylation Site Prediction DephosNet:一种新的去磷酸化位点预测迁移学习方法

Computers Pub Date : 2023-11-10 DOI: 10.3390/computers12110229

Qing Yang, Xun Wang, Pan Zheng

{"title":"DephosNet: A Novel Transfer Learning Approach for Dephosphorylation Site Prediction","authors":"Qing Yang, Xun Wang, Pan Zheng","doi":"10.3390/computers12110229","DOIUrl":"https://doi.org/10.3390/computers12110229","url":null,"abstract":"Protein dephosphorylation is the process of removing phosphate groups from protein molecules, which plays a vital role in regulating various cellular processes and intricate protein signaling networks. The identification and prediction of dephosphorylation sites are crucial for this process. Previously, there was a lack of effective deep learning models for predicting these sites, often resulting in suboptimal outcomes. In this study, we introduce a deep learning framework known as “DephosNet”, which leverages transfer learning to enhance dephosphorylation site prediction. DephosNet employs dual-window sequential inputs that are embedded and subsequently processed through a series of network architectures, including ResBlock, Multi-Head Attention, and BiGRU layers. It generates predictions for both dephosphorylation and phosphorylation site probabilities. DephosNet is pre-trained on a phosphorylation dataset and then fine-tuned on the parameters with a dephosphorylation dataset. Notably, transfer learning significantly enhances DephosNet’s performance on the same dataset. Experimental results demonstrate that, when compared with other state-of-the-art models, DephosNet outperforms them on both the independent test sets for phosphorylation and dephosphorylation.","PeriodicalId":46292,"journal":{"name":"Computers","volume":" 26","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135187720","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

Authority Transfer According to a Driver Intervention Intention Considering Coexistence of Communication Delay 考虑通信延迟共存的驾驶员干预意图下的权限转移

Computers Pub Date : 2023-11-08 DOI: 10.3390/computers12110228

Taeyoon Lim, Myeonghwan Hwang, Eugene Kim, Hyunrok Cha

{"title":"Authority Transfer According to a Driver Intervention Intention Considering Coexistence of Communication Delay","authors":"Taeyoon Lim, Myeonghwan Hwang, Eugene Kim, Hyunrok Cha","doi":"10.3390/computers12110228","DOIUrl":"https://doi.org/10.3390/computers12110228","url":null,"abstract":"Recently, interest and research on autonomous driving technology have been actively conducted. However, proving the safety of autonomous vehicles and commercializing autonomous vehicles remain key challenges. According to a report released by the California Department of Motor Vehicles on self-driving, it is still hard to say that self-driving technology is highly reliable. Until fully autonomous driving is realized, authority transfer to humans is necessary to ensure the safety of autonomous driving. Several technologies, such as teleoperation and haptic-based approaches, are being developed based on human-machine interaction systems. This study deals with teleoperation and presents a way to switch control from autonomous vehicles to remote drivers. However, there are many studies on how to do teleoperation, but not many studies deal with communication delays that occur when switching control. Communication delays inevitably occur when switching control, and potential risks and accidents of the magnitude of the delay cannot be ignored. This study examines compensation for communication latency during remote control attempts and checks the acceptable level of latency for enabling remote operations. In addition, supplemented the safety and reliability of autonomous vehicles through research that reduces the size of communication delays when attempting teleoperation. It is expected to prevent human and material damage in the actual accident situation.","PeriodicalId":46292,"journal":{"name":"Computers","volume":"24 24","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135390774","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

Creating Location-Based Augmented Reality Games and Immersive Experiences for Touristic Destination Marketing and Education 为旅游目的地营销和教育创建基于位置的增强现实游戏和沉浸式体验

Computers Pub Date : 2023-11-07 DOI: 10.3390/computers12110227

Alexandros Kleftodimos, Athanasios Evagelou, Stefanos Gkoutzios, Maria Matsiola, Michalis Vrigkas, Anastasia Yannacopoulou, Amalia Triantafillidou, Georgios Lappas

{"title":"Creating Location-Based Augmented Reality Games and Immersive Experiences for Touristic Destination Marketing and Education","authors":"Alexandros Kleftodimos, Athanasios Evagelou, Stefanos Gkoutzios, Maria Matsiola, Michalis Vrigkas, Anastasia Yannacopoulou, Amalia Triantafillidou, Georgios Lappas","doi":"10.3390/computers12110227","DOIUrl":"https://doi.org/10.3390/computers12110227","url":null,"abstract":"The aim of this paper is to present an approach that utilizes several mixed reality technologies for touristic promotion and education. More specifically, mixed reality applications and games were created to promote the mountainous areas of Western Macedonia, Greece, and to educate visitors on various aspects of these destinations, such as their history and cultural heritage. Location-based augmented reality (AR) games were designed to guide the users to visit and explore the destinations, get informed, gather points and prizes by accomplishing specific tasks, and meet virtual characters that tell stories. Furthermore, an immersive lab was established to inform visitors about the region of interest through mixed reality content designed for entertainment and education. The lab visitors can experience content and games through virtual reality (VR) and augmented reality (AR) wearable devices. Likewise, 3D content can be viewed through special stereoscopic monitors. An evaluation of the lab experience was performed with a sample of 82 visitors who positively evaluated features of the immersive experience such as the level of satisfaction, immersion, educational usefulness, the intention to visit the mountainous destinations of Western Macedonia, intention to revisit the lab, and intention to recommend the experience to others.","PeriodicalId":46292,"journal":{"name":"Computers","volume":"132 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135539581","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

Constructing the Bounds for Neural Network Training Using Grammatical Evolution 用语法进化构造神经网络训练的边界

Computers Pub Date : 2023-11-05 DOI: 10.3390/computers12110226

Ioannis G. Tsoulos, Alexandros Tzallas, Evangelos Karvounis

引用次数: 0

Chance-Constrained Optimization Formulation for Ship Conceptual Design: A Comparison of Metaheuristic Algorithms 船舶概念设计的机会约束优化公式:一种元启发式算法的比较

Computers Pub Date : 2023-11-03 DOI: 10.3390/computers12110225

Jakub Kudela

引用次数: 0

A Methodological Framework for Designing Personalised Training Programs to Support Personnel Upskilling in Industry 5.0 设计个性化培训计划以支持工业5.0中人员技能提升的方法框架

Computers Pub Date : 2023-11-02 DOI: 10.3390/computers12110224

Francisco Fraile, Foivos Psarommatis, Faustino Alarcón, Jordi Joan

{"title":"A Methodological Framework for Designing Personalised Training Programs to Support Personnel Upskilling in Industry 5.0","authors":"Francisco Fraile, Foivos Psarommatis, Faustino Alarcón, Jordi Joan","doi":"10.3390/computers12110224","DOIUrl":"https://doi.org/10.3390/computers12110224","url":null,"abstract":"Industry 5.0 emphasises social sustainability and highlights the critical need for personnel upskilling and reskilling to achieve the seamless integration of human expertise and advanced technology. This paper presents a methodological framework for designing personalised training programs that support personnel upskilling, with the goal of fostering flexibility and resilience amid rapid changes in the industrial landscape. The proposed framework encompasses seven stages: (1) Integration with Existing Systems, (2) Data Collection, (3) Data Preparation, (4) Skills-Models Extraction, (5) Assessment of Skills and Qualifications, (6) Recommendations for Training Program, (7) Evaluation and Continuous Improvement. By leveraging Large Language Models (LLMs) and human-centric principles, our methodology enables the creation of tailored training programs to help organisations promote a culture of proactive learning. This work thus contributes to the sustainable development of the human workforce, facilitating access to high-quality training and fostering personnel well-being and satisfaction. Through a food-processing use case, this paper demonstrates how this methodology can help organisations identify skill gaps and upskilling opportunities and use these insights to drive personnel upskilling in Industry 5.0.","PeriodicalId":46292,"journal":{"name":"Computers","volume":"4 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135974662","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

Optimization and Scalability of Educational Platforms: Integration of Artificial Intelligence and Cloud Computing 教育平台的优化与可扩展性:人工智能与云计算的融合

Computers Pub Date : 2023-11-01 DOI: 10.3390/computers12110223

Jaime Govea, Ernesto Ocampo Edye, Solange Revelo-Tapia, William Villegas-Ch

引用次数: 0

Distributed Representation for Assembly Code 汇编代码的分布式表示

Computers Pub Date : 2023-11-01 DOI: 10.3390/computers12110222

Kazuki Yoshida, Kaiyu Suzuki, Tomofumi Matsuzawa

{"title":"Distributed Representation for Assembly Code","authors":"Kazuki Yoshida, Kaiyu Suzuki, Tomofumi Matsuzawa","doi":"10.3390/computers12110222","DOIUrl":"https://doi.org/10.3390/computers12110222","url":null,"abstract":"In recent years, the number of similar software products with many common parts has been increasing due to the reuse and plagiarism of source code in the software development process. Pattern matching, which is an existing method for detecting similarity, cannot detect the similarities between these software products and other programs. It is necessary, for example, to detect similarities based on commonalities in both functionality and control structures. At the same time, detailed software analysis requires manual reverse engineering. Therefore, technologies that automatically identify similarities among the arge amounts of code present in software products in advance can reduce these oads. In this paper, we propose a representation earning model to extract feature expressions from assembly code obtained by statically analyzing such code to determine the similarity between software products. We use assembly code to eliminate the dependence on the existence of source code or differences in development anguage. The proposed approach makes use of Asm2Vec, an existing method, that is capable of generating a vector representation that captures the semantics of assembly code. The proposed method also incorporates information on the program control structure. The control structure can be represented by graph data. Thus, we use graph embedding, a graph vector representation method, to generate a representation vector that reflects both the semantics and the control structure of the assembly code. In our experiments, we generated expression vectors from multiple programs and used clustering to verify the accuracy of the approach in classifying similar programs into the same cluster. The proposed method outperforms existing methods that only consider semantics in both accuracy and execution time.","PeriodicalId":46292,"journal":{"name":"Computers","volume":"44 3-4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135270832","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

Investigation of the Gender-Specific Discourse about Online Learning during COVID-19 on Twitter Using Sentiment Analysis, Subjectivity Analysis, and Toxicity Analysis 基于情感分析、主观性分析和毒性分析的COVID-19期间Twitter上关于在线学习的性别话语调查

Computers Pub Date : 2023-10-31 DOI: 10.3390/computers12110221

Nirmalya Thakur, Shuqi Cui, Karam Khanna, Victoria Knieling, Yuvraj Nihal Duggal, Mingchen Shao

{"title":"Investigation of the Gender-Specific Discourse about Online Learning during COVID-19 on Twitter Using Sentiment Analysis, Subjectivity Analysis, and Toxicity Analysis","authors":"Nirmalya Thakur, Shuqi Cui, Karam Khanna, Victoria Knieling, Yuvraj Nihal Duggal, Mingchen Shao","doi":"10.3390/computers12110221","DOIUrl":"https://doi.org/10.3390/computers12110221","url":null,"abstract":"This paper presents several novel findings from a comprehensive analysis of about 50,000 Tweets about online learning during COVID-19, posted on Twitter between 9 November 2021 and 13 July 2022. First, the results of sentiment analysis from VADER, Afinn, and TextBlob show that a higher percentage of these Tweets were positive. The results of gender-specific sentiment analysis indicate that for positive Tweets, negative Tweets, and neutral Tweets, between males and females, males posted a higher percentage of the Tweets. Second, the results from subjectivity analysis show that the percentage of least opinionated, neutral opinionated, and highly opinionated Tweets were 56.568%, 30.898%, and 12.534%, respectively. The gender-specific results for subjectivity analysis indicate that females posted a higher percentage of highly opinionated Tweets as compared to males. However, males posted a higher percentage of least opinionated and neutral opinionated Tweets as compared to females. Third, toxicity detection was performed on the Tweets to detect different categories of toxic content—toxicity, obscene, identity attack, insult, threat, and sexually explicit. The gender-specific analysis of the percentage of Tweets posted by each gender for each of these categories of toxic content revealed several novel insights related to the degree, type, variations, and trends of toxic content posted by males and females related to online learning. Fourth, the average activity of males and females per month in this context was calculated. The findings indicate that the average activity of females was higher in all months as compared to males other than March 2022. Finally, country-specific tweeting patterns of males and females were also performed which presented multiple novel insights, for instance, in India, a higher percentage of the Tweets about online learning during COVID-19 were posted by males as compared to females.","PeriodicalId":46292,"journal":{"name":"Computers","volume":"126 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135813513","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