Advances in Systems Analysis, Software Engineering, and High Performance Computing最新文献

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Principles, Policies, and Applications of Kotlin Programming Kotlin编程的原则、策略和应用
Advances in Systems Analysis, Software Engineering, and High Performance Computing Pub Date : 2023-03-31 DOI: 10.4018/978-1-6684-6687-2
Duy Thanh Tran, Jun-Ho Huh
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引用次数: 0
Developing Linear Algebra Codes on Modern Processors 在现代处理器上开发线性代数代码
Advances in Systems Analysis, Software Engineering, and High Performance Computing Pub Date : 2022-10-14 DOI: 10.4018/978-1-7998-7082-1
Sandra Catalán Pallarés, Pedro Valero-Lara, Leonel Antonio Toledo Díaz, Rocío Carratalá Sáez
{"title":"Developing Linear Algebra Codes on Modern Processors","authors":"Sandra Catalán Pallarés, Pedro Valero-Lara, Leonel Antonio Toledo Díaz, Rocío Carratalá Sáez","doi":"10.4018/978-1-7998-7082-1","DOIUrl":"https://doi.org/10.4018/978-1-7998-7082-1","url":null,"abstract":"","PeriodicalId":173264,"journal":{"name":"Advances in Systems Analysis, Software Engineering, and High Performance Computing","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126257119","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
New Approaches to Data Analytics and Internet of Things Through Digital Twin 通过数字孪生实现数据分析和物联网的新方法
Advances in Systems Analysis, Software Engineering, and High Performance Computing Pub Date : 2022-09-30 DOI: 10.4018/978-1-6684-5722-1
{"title":"New Approaches to Data Analytics and Internet of Things Through Digital Twin","authors":"","doi":"10.4018/978-1-6684-5722-1","DOIUrl":"https://doi.org/10.4018/978-1-6684-5722-1","url":null,"abstract":"","PeriodicalId":173264,"journal":{"name":"Advances in Systems Analysis, Software Engineering, and High Performance Computing","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115596141","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
Futuristic Trends for Sustainable Development and Sustainable Ecosystems 可持续发展和可持续生态系统的未来趋势
Advances in Systems Analysis, Software Engineering, and High Performance Computing Pub Date : 2022-06-24 DOI: 10.4018/978-1-6684-4225-8
{"title":"Futuristic Trends for Sustainable Development and Sustainable Ecosystems","authors":"","doi":"10.4018/978-1-6684-4225-8","DOIUrl":"https://doi.org/10.4018/978-1-6684-4225-8","url":null,"abstract":"","PeriodicalId":173264,"journal":{"name":"Advances in Systems Analysis, Software Engineering, and High Performance Computing","volume":"600 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132720465","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: 4
Emerging Technologies for Innovation Management in the Software Industry 软件行业创新管理的新兴技术
Advances in Systems Analysis, Software Engineering, and High Performance Computing Pub Date : 2022-05-20 DOI: 10.4018/978-1-7998-9059-1
{"title":"Emerging Technologies for Innovation Management in the Software Industry","authors":"","doi":"10.4018/978-1-7998-9059-1","DOIUrl":"https://doi.org/10.4018/978-1-7998-9059-1","url":null,"abstract":"","PeriodicalId":173264,"journal":{"name":"Advances in Systems Analysis, Software Engineering, and High Performance Computing","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124000545","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
Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms 使用控制流和数据流范式实现机器学习算法
Advances in Systems Analysis, Software Engineering, and High Performance Computing Pub Date : 2022-03-11 DOI: 10.4018/978-1-7998-8350-0
V. Milutinovic, N. Mitić, Aleksandar Kartelj, Miloš Kotlar
{"title":"Implementation of Machine Learning Algorithms Using Control-Flow and Dataflow Paradigms","authors":"V. Milutinovic, N. Mitić, Aleksandar Kartelj, Miloš Kotlar","doi":"10.4018/978-1-7998-8350-0","DOIUrl":"https://doi.org/10.4018/978-1-7998-8350-0","url":null,"abstract":"","PeriodicalId":173264,"journal":{"name":"Advances in Systems Analysis, Software Engineering, and High Performance Computing","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130113817","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
Continuous Deployment Transitions at Scale 大规模的持续部署转换
Advances in Systems Analysis, Software Engineering, and High Performance Computing Pub Date : 2020-09-01 DOI: 10.4018/978-1-7998-1863-2.ch006
L. Williams, Kent L. Beck, Jeffrey Creasey, Andy Glover, James Holman, Jez Humble, David McLaughlin, John Micco, Brendan Murphy, Jason A. Cox, Vishnu S. Pendyala, Steven Place, Zachary T. Pritchard, Chuck Rossi, T. Savor, M. Stumm, Chris Parnin
{"title":"Continuous Deployment Transitions at Scale","authors":"L. Williams, Kent L. Beck, Jeffrey Creasey, Andy Glover, James Holman, Jez Humble, David McLaughlin, John Micco, Brendan Murphy, Jason A. Cox, Vishnu S. Pendyala, Steven Place, Zachary T. Pritchard, Chuck Rossi, T. Savor, M. Stumm, Chris Parnin","doi":"10.4018/978-1-7998-1863-2.ch006","DOIUrl":"https://doi.org/10.4018/978-1-7998-1863-2.ch006","url":null,"abstract":"Predictable, rapid, and data-driven feature rollout; lightning-fast; and automated fix deployment are some of the benefits most large software organizations worldwide are striving for. In the process, they are transitioning toward the use of continuous deployment practices. Continuous deployment enables companies to make hundreds or thousands of software changes to live computing infrastructure every day while maintaining service to millions of customers. Such ultra-fast changes create a new reality in software development. Over the past four years, the Continuous Deployment Summit, hosted at Facebook, Netflix, Google, and Twitter has been held. Representatives from companies like Cisco, Facebook, Google, IBM, Microsoft, Netflix, and Twitter have shared the triumphs and struggles of their transition to continuous deployment practices—each year the companies press on, getting ever faster. In this chapter, the authors share the common strategies and practices used by continuous deployment pioneers and adopted by newcomers as they transition and use continuous deployment practices at scale.","PeriodicalId":173264,"journal":{"name":"Advances in Systems Analysis, Software Engineering, and High Performance Computing","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130374087","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
Merging Realities in Space and Time 在空间和时间中融合现实
Advances in Systems Analysis, Software Engineering, and High Performance Computing Pub Date : 2019-04-01 DOI: 10.4018/978-1-5225-7879-6.CH007
L. Alboul, M. Beer, Louis Nisiotis
{"title":"Merging Realities in Space and Time","authors":"L. Alboul, M. Beer, Louis Nisiotis","doi":"10.4018/978-1-5225-7879-6.CH007","DOIUrl":"https://doi.org/10.4018/978-1-5225-7879-6.CH007","url":null,"abstract":"The rapid developments in online technology have provided young people with instant communication with each other and highly interactive and engaging visual game playing environments. The traditional ways of presenting museum and heritage assets no longer, therefore, hold their attention and provide them with an exciting and dynamic visitor experience. There is considerable interest in the use of augmented reality to allow visitors to explore worlds that are not immediately accessible to them and relating them to the real worlds around them. These are very effective in providing much needed contextual information, but appear rather static when compared with multi-player games environments where players interact with each other and robotic characters (non-player characters) in real time. By fusing these technologies, the authors postulate a new type of conceptually-led environment (cyber museum) that fuses real (physical), virtual worlds and cyber-social spaces into a single dynamic environment that provides a unique experience of exploring both worlds simultaneously.","PeriodicalId":173264,"journal":{"name":"Advances in Systems Analysis, Software Engineering, and High Performance Computing","volume":"30 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131015869","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: 6
Arrhythmia Detection Based on Hybrid Features of T-Wave in Electrocardiogram 基于心电图t波混合特征的心律失常检测
Advances in Systems Analysis, Software Engineering, and High Performance Computing Pub Date : 2018-02-28 DOI: 10.4018/978-1-7998-1192-3.CH001
Raghu Nanjundegowda, Vaibhav Meshram
{"title":"Arrhythmia Detection Based on Hybrid Features of T-Wave in Electrocardiogram","authors":"Raghu Nanjundegowda, Vaibhav Meshram","doi":"10.4018/978-1-7998-1192-3.CH001","DOIUrl":"https://doi.org/10.4018/978-1-7998-1192-3.CH001","url":null,"abstract":"An electrocardiogram (ECG) is used as one of the important diagnostic tools for the detection of the health of a heart. An automatic heart abnormality identification methods sense numerous abnormalities or arrhythmia and decrease the physician's pressure as well as share their workload. In ECG analysis, the main focus is to enhance degree of accuracy and include a number of heart diseases that can be classified. In this chapter, arrhythmia classification is proposed using hybrid features of T-wave in ECG. The classification system consists of majorly three phases, windowing technique, feature extraction, and classification. This classifier categorizes the normal and abnormal signals efficiently. The experimental analysis showed that the hybrid features arrhythmia classification performance of accuracy approximately 98.3%, specificity 98.0%, and sensitivity 98.6% using MIT-BIH database.","PeriodicalId":173264,"journal":{"name":"Advances in Systems Analysis, Software Engineering, and High Performance Computing","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121373676","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: 16
Efficient Facial Expression Recognition Using Deep Learning Techniques 使用深度学习技术的高效面部表情识别
Advances in Systems Analysis, Software Engineering, and High Performance Computing Pub Date : 1900-01-01 DOI: 10.4018/978-1-7998-8161-2.ch006
S. S., S. B. J., C. P, Kumutha D., N. Krishna
{"title":"Efficient Facial Expression Recognition Using Deep Learning Techniques","authors":"S. S., S. B. J., C. P, Kumutha D., N. Krishna","doi":"10.4018/978-1-7998-8161-2.ch006","DOIUrl":"https://doi.org/10.4018/978-1-7998-8161-2.ch006","url":null,"abstract":"Facial expression recognition (FER) is an important topic in the field of computer vision and artificial intelligence due to its potential in academic and business. The authors implement deep-learning-based FER approaches that use deep networks to allow end-to-end learning. It focuses on developing a cutting-edge hybrid deep-learning approach that combines a convolutional neural network (CNN) for the prediction and a convolutional neural network (CNN) for the classification. This chapter proposes a new methodology to analyze and implement a model to predict facial expression from a sequence of images. Considering the linguistic and psychological contemplations, an intermediary symbolic illustration is developed. Using a large set of image sequences recognition of six facial expressions is demonstrated. This analysis can fill in as a manual to novices in the field of FER, giving essential information and an overall comprehension of the most recent best in class contemplates, just as to experienced analysts searching for beneficial bearings for future work.","PeriodicalId":173264,"journal":{"name":"Advances in Systems Analysis, Software Engineering, and High Performance Computing","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115435738","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: 3
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