检索结果-内蒙古大学图书馆

Development and application of MCAL tools for marine radar instruction

computer Applications in engineering Education 1995年第4期3卷 259-259页

作者： Guirguis, S. Korany, E. Abdel-Bary, A. Institute of Graduate Studies and Research Alexandria University Alexandria Egypt Shawkat K. Guirguis:obtained the BSc and M.Sc. degrees in Computer Science and Automatic Control Faculty of Engineering Alexandria University in 1981 and 1984 respectively. In 1988 he obtained a PhD degree in Electronics and Communications Faculty of Engineering Cairo University co-supervised by the Imperial College of Science and Technology University of London where he spent two years as an academic visitor. His current research interests include software quality management multimedia automatic programming and decision support systems. He is currently a lecturer of Computer Science at the Institute of Graduate Studies & Research Alexandria University. Ezzat A. Korany:received the BS degree in Electrical Engineering (Electronics Section) from the University of Alexandria Egypt in 1971 the MS degree in Electrical Engineering (Computer Section) from Ain Shams University Cairo Egypt in 1977 and the PhD degree in Electrical Engineering (Digital Systems) from Florida Institute of Technology U.S.A. in 1982. He is currently an associate professor of Computer Science at the Institute of Graduate Studies & Research University of Alexandria. His research interests are in data communications and multimedia applications computer networks image processing and pattern recognition. Abdel-Latif A. Abdel-Bary:obtained the BEng degree in Electronics Technology from Arab Maritime Transport Academy in 1986. In 1995 he obtained the MSc degree in Information Technology from the Institute of Graduate Studies & Research Alexandria University. His current research interests include ICAL hypermedia and automatic programming.

In this article a multimedia computer-assisted learning (MCAL) system is presented. The major objective of this work was to investigate the potential of using such systems as tools for transferring instructional course information through various types of computer media as opposed to the classic CAL systems. The philosophy and techniques employed to design the system are investigated. Usage of the implemented system and its merits have been illustrated through its application to teach engineering students and technicians the theory and concepts of marine radar. System design, implementation, test, and revision phases are presented and discussed.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Correction to: Feature selection and risk prediction for patients with coronary artery disease using data mining

引用

Medical & biological engineering & computing 2022年第3期60卷 887页

作者： Nashreen Md Idris Yin Kia Chiam Kasturi Dewi Varathan Wan Azman Wan Ahmad Kok Han Chee Yih Miin Liew Department of Software Engineering Faculty of Computer Science and Information Technology Universiti Malaya 50603 Kuala Lumpur Malaysia. Department of Software Engineering Faculty of Computer Science and Information Technology Universiti Malaya 50603 Kuala Lumpur Malaysia. yinkia@um.edu.my. Department of Information Systems Faculty of Computer Science and Information Technology Universiti Malaya 50603 Kuala Lumpur Malaysia. Department of Medicine University Malaya Medical Centre 50603 Kuala Lumpur Malaysia. Department of Biomedical Engineering Faculty of Engineering Universiti Malaya 50603 Kuala Lumpur Malaysia.

来源：评论

学校读者我要写书评

暂无评论

Evidence-Based Quality-Aware Agile software Development Process: Design and Evaluation

SSRN

引用

SSRN 2023年

作者： Karhapää, Pertti Behutiye, Woubshet Seppänen, Pertti Rodríguez, Pilar Oivo, Markku Franch, Xavier Martinez-Fernandez, Silverio López, Lidia Choraś, Michal Bagnato, Alessandra Aaramaa, Sanja Partanen, Jari University of Oulu Oulu90014 Finland Department of Service and Information System Engineering UPC-BarcelonaTech Barcelona08034 Spain Kaiserslautern67663 Germany ITTI Sp. z o.o Poznan61-612 Poland University of Science and Technology UTP Univerisy of Science and Technology Bydgoszcz5-796 Poland Softeam Paris75016 France Nokia Oy Oulu90620 Finland Bittium Wireless Ltd. Oulu90590 Finland University of Puget Sound United States Dep. Of Languages Computer Systems and Software Engineering Faculty of Computer Science Universidad Politécnica de Madrid Spain Dep. ESSI GESSI Research Group UPC-BarcelonaTech Barcelona08034 Spain Centro Nacional de Supercomputacíon Barcelona08034 Spain

Context Agile software development (ASD) aims to deliver high-quality software. However, software quality often gets less attention due to focus on *** an evidence-based quality-aware ASD process that organizations can use to create a more quality-aware development process and improve software *** methodUsing design science research, we collaborated with four organizations applying ASD in different contexts. Involving a total of 35 practitioners, we designed company-specific evidence-based quality-aware ASD processes, which were validated through simulated scenarios, implemented, and evaluated by the practitioners. ResultsA general ASD process model, derived from the company-specific models, was created, which shows the specific activities, frequencies, roles, and development phases where evidence can be used to improve software quality. The new process model contributed towards improved bottleneck identification, release readiness, and quality issues prioritization. We also learned that companies must be mindful of the rules that determine the use of evidence. Conclusion Integrating the use of quality related evidence into the ASD process can make it quality-aware, supporting software quality management, and enabling timely reaction through fast feedback loops. The evidence-based quality-aware ASD process is applicable in any Scrum-like ASD process. Applicability in other forms of ASD, however, requires further research. © 2023, The Authors. All rights reserved.

关键词： Quality control

来源：评论

学校读者我要写书评

暂无评论

Suppressing quantum errors by scaling a surface code logical qubit

arXiv

引用

arXiv 2022年

作者： Acharya, Rajeev Aleiner, Igor Allen, Richard Andersen, Trond I. Ansmann, Markus Arute, Frank Arya, Kunal Asfaw, Abraham Atalaya, Juan Babbush, Ryan Bacon, Dave Bardin, Joseph C. Basso, Joao Bengtsson, Andreas Boixo, Sergio Bortoli, Gina Bourassa, Alexandre Bovaird, Jenna Brill, Leon Broughton, Michael Buckley, Bob B. Buell, David A. Burger, Tim Burkett, Brian Bushnell, Nicholas Chen, Yu Chen, Zijun Chiaro, Ben Cogan, Josh Collins, Roberto Conner, Paul Courtney, William Crook, Alexander L. Curtin, Ben Debroy, Dripto M. Del Toro Barba, Alexander Demura, Sean Dunsworth, Andrew Eppens, Daniel Erickson, Catherine Faoro, Lara Farhi, Edward Fatemi, Reza Burgos, Leslie Flores Forati, Ebrahim Fowler, Austin G. Foxen, Brooks Giang, William Gidney, Craig Gilboa, Dar Giustina, Marissa Grajales Dau, Alejandro Gross, Jonathan A. Habegger, Steve Hamilton, Michael C. Harrigan, Matthew P. Harrington, Sean D. Higgott, Oscar Hilton, Jeremy Hoffmann, Markus Hong, Sabrina Huang, Trent Huff, Ashley Huggins, William J. Ioffe, Lev B. Isakov, Sergei V. Iveland, Justin Jeffrey, Evan Jiang, Zhang Jones, Cody Juhas, Pavol Kafri, Dvir Kechedzhi, Kostyantyn Kelly, Julian Khattar, Tanuj Khezri, Mostafa Kieferová, Mária Kim, Seon Kitaev, Alexei Klimov, Paul V. Klots, Andrey R. Korotkov, Alexander N. Kostritsa, Fedor Kreikebaum, John Mark Landhuis, David Laptev, Pavel Lau, Kim-Ming Laws, Lily Lee, Joonho Lee, Kenny Lester, Brian J. Lill, Alexander Liu, Wayne Locharla, Aditya Lucero, Erik Malone, Fionn D. Marshall, Jeffrey Martin, Orion McClean, Jarrod R. McCourt, Trevor McEwen, Matt Megrant, Anthony Meurer Costa, Bernardo Mi, Xiao Miao, Kevin C. Mohseni, Masoud Montazeri, Shirin Morvan, Alexis Mount, Emily Mruczkiewicz, Wojciech Naaman, Ofer Neeley, Matthew Neill, Charles Nersisyan, Ani Neven, Hartmut Newman, Michael Ng, Jiun How Nguyen, Anthony Nguyen, Murray Niu, Murphy Yuezhen O’Brien, Thomas E. Opremcak, Alex Platt, John Petukhov, Andre Potter, Rebecca Pryadko, Leonid Quintana, Chris Roushan, Pedram Rubin, Nicholas C. Saei, Negar Sank, Danie Google Research United States Department of Physics Columbia University New YorkNY United States Department of Electrical and Computer Engineering University of Massachusetts AmherstMA United States Department of Electrical and Computer Engineering Auburn University AuburnAL United States Centre for Quantum Computation and Communication Technology Centre for Quantum Software and Information Faculty of Engineering and Information Technology University of Technology SydneyNSW2007 Australia Department of Physics Institute for Quantum Information and Matter Walter Burke Institute for Theoretical Physics California Institute of Technology PasadenaCA United States Department of Electrical and Computer Engineering University of California RiversideCA United States USRA Research Institute for Advanced Computer Science Mountain ViewCA United States QuAIL NASA Ames Research Center Moffett Field CA United States Department of Physics University of California Santa BarbaraCA United States

Practical quantum computing will require error rates that are well below what is achievable with physical qubits. Quantum error correction [1, 2] offers a path to algorithmically-relevant error rates by encoding logical qubits within many physical qubits, where increasing the number of physical qubits enhances protection against physical errors. However, introducing more qubits also increases the number of error sources, so the density of errors must be sufficiently low in order for logical performance to improve with increasing code size. Here, we report the measurement of logical qubit performance scaling across multiple code sizes, and demonstrate that our system of superconducting qubits has sufficient performance to overcome the additional errors from increasing qubit number. We find our distance-5 surface code logical qubit modestly outperforms an ensemble of distance-3 logical qubits on average, both in terms of logical error probability over 25 cycles and logical error per cycle (2.914%±0.016% compared to 3.028%±0.023%). To investigate damaging, low-probability error sources, we run a distance-25 repetition code and observe a 1.7 × 10−6 logical error per round floor set by a single high-energy event (1.6 × 10−7 when excluding this event). We are able to accurately model our experiment, and from this model we can extract error budgets that highlight the biggest challenges for future systems. These results mark the first experimental demonstration where quantum error correction begins to improve performance with increasing qubit number, illuminating the path to reaching the logical error rates required for computation. © 2022, CC BY.

关键词： Qubits

来源：评论

学校读者我要写书评

暂无评论

Detection of image copy-move forgery using local intensity order pattern

引用

Tongxin Xuebao/Journal on Communications 2016年 37卷 132-139页

作者： Lin, Jing Huang, Tian-Qiang Lin, Ling-Peng Li, Xiao-Chen School of Mathematics and Computer Science Fujian Normal University Fuzhou350007 China Faculty of Software Fujian Normal University Fuzhou350007 China Fujian Provincial University Engineering Research Center of Big Data Analysis and Application Fujian Normal University Fuzhou350007 China

Copy-move forgery was one of the most simple and common way of image manipulations. To improve the robustness of most existing copy-move forgery detections, a new method based on local intensity order pattern was proposed. First, the LIOP feature descriptors were exacted from the inspected image. Then the angular cosine of feature descriptors were used to measure the similarity, and the stable matching points were found according to the distance ratio threshold of the nearest neighbor point to the second nearest neighbor. Finally, the space distance of the matching points were calculated to remove the false matching points. Extensive experimental results were presented to confirm that the proposed method is not only able to effectively identify and locate the altered area, but also have high accuracy and robust to scaling, rotation, brightness change and some post-processing, such as Gaussian blur, additive white Gaussian noise and JPEG compression. © 2016, Editorial Board of Journal on Communications. All right reserved.

关键词： White noise

来源：评论

学校读者我要写书评

暂无评论

Corrigendum to “Identification of significant features and data mining techniques in predicting heart disease” [Telematics Informatics 36 (2019) 82–93]

引用

Telematics and Informatics 2022年 70卷

作者： Mohammad Shafenoor Amin Yin Kia Chiam Kasturi Dewi Varathan Department of Software Engineering Faculty of Computer Science and Information Technology University of Malaya 50603 Kuala Lumpur Malaysia BRAC University 66 Mohakhali Dhaka 1212 Bangladesh Department of Information Systems Faculty of Computer Science and Information Technology University of Malaya 50603 Kuala Lumpur Malaysia

来源：评论

学校读者我要写书评

暂无评论

The OPS-SAT benchmark for detecting anomalies in satellite telemetry

arXiv

引用

arXiv 2024年

作者： Ruszczak, Bogdan Kotowski, Krzysztof Evans, David Nalepa, Jakub Faculty of Electrical Engineering Automatic Control and Informatics Department of Informatics Opole University of Technology Prószkowska Str. 76 Opole45-758 Poland Faculty of Automatic Control Electronics and Computer Science Department of Algorithmics and Software Silesian University of Technology Akademicka Str. 16 Gliwice44-100 Poland KP Labs Bojkowska Str. 37J Gliwice44-100 Poland European Space Agency ESOC Robert-Bosch-Str. 5 Darmstadt64293 Germany

Detecting anomalous events in satellite telemetry is a critical task in space operations. This task, however, is extremely time-consuming, error-prone and human dependent, thus automated data-driven anomaly detection algorithms have been emerging at a steady pace. However, there are no publicly available datasets of real satellite telemetry accompanied with the ground-truth annotations that could be used to train and verify anomaly detection supervised models. In this article, we address this research gap and introduce the AI-ready benchmark dataset (OPSSAT-AD) containing the telemetry data acquired on board OPS-SAT—a CubeSat mission which has been operated by the European Space Agency which has come to an end during the night of 22–23 May 2024 (CEST). The dataset is accompanied with the baseline results obtained using 30 supervised and unsupervised classic and deep machine learning algorithms for anomaly detection. They were trained and validated using the training-test dataset split introduced in this work, and we present a suggested set of quality metrics which should be always calculated to confront the new algorithms for anomaly detection while exploiting OPSSAT-AD. We believe that this work may become an important step toward building a fair, reproducible and objective validation procedure that can be used to quantify the capabilities of the emerging anomaly detection techniques in an unbiased and fully transparent way. © 2024, CC BY.

关键词： Anomaly detection

来源：评论

学校读者我要写书评

暂无评论

Business model canvas should pay more attention to the software startup team

arXiv

引用

arXiv 2021年

作者： Kemell, Kai-Kristian Elonen, Atte Suoranta, Mari Nguyen-Duc, Anh Garbajosa, Juan Chanin, Rafael Melegati, Jorge Rafiq, Usman Aldaeej, Abdullah Assyne, Nana Sales, Afonso Hyrynsalmi, Sami Risku, Juhani Edison, Henry Abrahamsson, Pekka Faculty of Information Technology University of Jyvaskyla Jyvaskyla Finland School of Business and Economics University of Jyväskylä Jyväskylä Finland Department of Business and IT University of Southeast Norway Bø Norway Universidad Politécnica de Madrid Madrid Spain School of Technology PUCRS Porto Alegre Brazil Faculty of Computer Science Free University of Bozen-Bolzano Bolzano Italy Department of Information Systems University of Maryland Baltimore Country Baltimore United States Department of Software Engineering LUT University Lahti Finland Lero NUI Galway Galway Ireland

Business Model Canvas (BMC) is a tool widely used to describe startup business models. Despite the various business aspects described, BMC pays a little emphasis on team-related factors. The importance of team-related factors in software development has been acknowledged widely in literature. While not as extensively studied, the importance of teams in software startups is also known in both literature and among practitioners. In this paper, we propose potential changes to BMC to have the tool better reflect the importance of the team, especially in a software startup environment. Based on a literature review, we identify various components related to the team, which we then further support with empirical data. We do so by means of a qualitative case study of five startups. Copyright © 2021, The Authors. All rights reserved.

关键词： software design

来源：评论

学校读者我要写书评

暂无评论

Business Model Canvas Should Pay More Attention to the software Startup Team

Business Model Canvas Should Pay More Attention to the Softw...

引用

Euromicro Conference on software engineering and Advanced Applications (SEAA)

作者： Kai-Kristian Kemell Atte Elonen Mari Suoranta Anh Nguyen-Duc Juan Garbajosa Rafael Chanin Jorge Melegati Usman Rafiq Abdullah Aldaeej Nana Assyne Afonso Sales Sami Hyrynsalmi Juhani Risku Henry Edison Pekka Abrahamsson Faculty of Information Technology University of Jyvaskyla Jyvaskyla Finland School of Business and Economics University of Jyväskylä Jyvaskyla Finland Department of Business and IT University of Southeast Norway Bø Norway Universidad Politécnica de Madrid Madrid Spain School of Technology PUCRS Porto Alegre Brazil Faculty of Computer Science Free University of Bozen-Bolzano Bolzano Italy Department of Information Systems University of Maryland Baltimore Country Baltimore United States Department of Software Engineering LUT University Lahti Finland Lero NUI Galway Galway Ireland

ISBN: (数字)9781728195322

ISBN: (纸本)9781728195339

Business Model Canvas (BMC) is a tool widely used to describe startup business models. Despite the various business aspects described, BMC pays a little emphasis on team- related factors. The importance of team-related factors in software development has been acknowledged widely in literature. While not as extensively studied, the importance of teams in software startups is also known in both literature and among practitioners. In this paper, we propose potential changes to BMC to have the tool better reflect the importance of the team, especially in a software startup environment. Based on a literature review, we identify various components related to the team, which we then further support with empirical data. We do so by means of a qualitative case study of five startups.

关键词： Business software Interviews Tools Task analysis software engineering Ontologies

来源：评论

学校读者我要写书评

暂无评论

Erratum to “Effective Prediction of Bug-Fixing Priority via Weighted Graph Convolutional Networks”

引用

IEEE Transactions on Reliability 2024年第4期73卷 1994-1994页

作者： Sen Fang You-shuai Tan Tao Zhang Zhou Xu Hui Liu Faculty of Information Technology Macau University of Science and Technology Macau China School of BigData and Software Engineering Chongqing University Chongqing China School of Computer Science and Technology Beijing Institute of Technology Beijing China

In [1], the affiliation of the primary authors should be as follows:

关键词： Graph convolutional networks computer science

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：