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Blockchain for Renewables Integration (BLORIN), Workshop on

作者： Giordana Castelli Amedeo Cesta Mario Ciampi Riccardo De Benedictis Giuseppe De Pietro Matteo Diez Giovanni Felici Roberto Malvezzi Barbara Masini Riccardo Pellegrini Andreas Scalas Giuseppe Stecca Lucanos Strambini Gabriella Tognola Paolo Ravazzani Emilio Fortunato Campana Engineering ICT and Technology for Energy and Transportation Dept. (DIITET) National Research Council (CNR) Rome Italy Institute of Cognitive Sciences and Technologies (ISTC) National Research Council (CNR) Rome Italy Institute for High Performance Computing and Networking (ICAR) National Research Council (CNR) Naples Italy Institute of Marine Engineering (INM) National Research Council (CNR) Rome Italy Institute for Systems Analysis and Computer Science (IASI) National Research Council (CNR) Rome Italy Engineering ICT and Technology for Energy and National Research Council (CNR) Rome Italy Institute of Electronics Computer and Telecommunication Engineering (IEIIT) National Research Council (CNR) Bologna Italy Institute for Applied Mathematics and Information Technologies (IMATI) National Research Council (CNR) Genoa Italy Institute for Systems Analysis and Computer Science “Antonio Ruberti” (IASI) National Research Council (CNR) Rome Italy Institute of Electronics Computer and Telecommunication Engineering (IEIIT) (CNR) Pisa Italy

ISBN: (纸本)9781665472500

The Urban Intelligence (UI) paradigm conceived by CNR consists of an ecosystem of digital technologies joined within a Digital Twin (DT) of the city aimed at improving the city governance towards goals addressed also by the UN Agenda 2030, such as urban environment, sustainability and resilience, wellbeing and quality of life, local development, and social inclusion. In particular, UI provides a set of candidate policies in complex scenarios, and supports policy makers and stakeholders in designing shared, evidence-based, and integrated solutions. UI is being applied for the first time to two Italian cities, Matera and Catania, paving the way for a deeper scientific framing of the paradigm, as well as for the technological development and testing of the core UI ecosystem in real-life situations. The paper introduces the UI key-concepts and components, illustrates the ongoing experimentations in these pilot cities related to the development of two DTs on parts of the urban areas, and presents some initial results.

关键词： Renewable energy sources Urban areas Ecosystems Lakes Digital twins Sensors Stakeholders

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Secrecy Outage Probability Analysis Based on Cognitive Decode-and-Forward Relaying

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computers, Materials & Continua 2020年第3期62卷 1387-1395页

作者： Ruoyu Su Xiaojun Sun Fei Ding Dengyin Zhang Hongbo Zhu M.I.M.Wahab Jiangsu Key Laboratory of Wireless Communications Nanjing University of Posts and Tele-CommunicationsNanjing210003China Key Laboratory of Broadband Wireless Communication and Sensor Network Technology Ministry of EducationNanjing University of Posts and TelecommunicationsNanjing210003China School of Information Science and Engineering Southeast UniversityNanjing210018China Department of Electrical and Computer Engineering Faculty of Engineering and Applied ScienceMemorial University of NewfoundlandSt.John’sA1B 3X5Canada Department of Mechanical and Industrial Engineering Ryerson UniversityToronto M5B 2K3Canada

Wireless communications have to face to several different security issues in practice due to the nature of *** information theory is well known to provide efficient approaches to address security issues in wireless communications,which attracts much attention in both industry and academia in recent *** this paper,inspired by information theory,we study the outage probability of the opportunistic relay selection based on cognitive decode-and-forward relaying with the secrecy ***,the closed-form expression of the outage probability is ***,the asymptotic performance evaluation on the basis of the analytical results is *** simulation results show that the relay selection can reduce the outage probability in accordance with our theoretical analysis.

关键词： Secure communication average secrecy rate relay selection probability density function

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Promising new Techniques for computer Network Traffic Classification: A Survey

Promising new Techniques for Computer Network Traffic Classi...

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International Conference on Advanced computer information Technologies (ACIT)

作者： Michal Konopa Jan Fesl Jan Janeček Institute of Applied Informatics Faculty of Science at University of South Bohemia České Budějovice Czech Republic Department of Computer Systems Czech Technical University in Prague Praha Czech Republic

ISBN: (数字)9781728167602

ISBN: (纸本)9781728167619

This paper aims to give an overview of the application of image processing to network traffic analysis, including a description of the essence of the most important works in the last 15 years. The importance of efficient, automated analysis of network traffic is growing especially today, when huge volumes of diverse data need to be quickly processed. With the rapid development of artificial intelligence in the field of image processing, it seems logical to use it for analyzing network traffic image data. Recent results on this topic are very promising.

关键词： Telecommunication traffic IP networks Monitoring Feature extraction Neural networks Complexity theory

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Performance Optimization for Standalone Virtual Reality Headsets

Performance Optimization for Standalone Virtual Reality Head...

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IEEE Conference on Graphics and Media (GAME)

作者： Youssef Samir Sadek Hosny Mohammed A.-M Salem Ahmed Wahby Computer Science and Engineering Faculty of Media Eng. and Technology German University in Cairo Egypt Faculty of Media Eng. and Technology German University in Cairo Egypt Faculty of Computer and Information Sciences Ain Shams University Cairo Egypt Faculty of Applied Sciences and Arts German University in Cairo Egypt

ISBN: (数字)9781728192444

ISBN: (纸本)9781728192451

This paper focuses on the performance optimization process for standalone virtual reality headsets. With the release of the Oculus Quest on May 2019, and its wide adoption, developing a VR application is not as simple as it used to be on regular PCVR headsets, which run on VR ready desktops powered by dedicated processors and graphics cards. The mobile processor of standalone headsets is much weaker than the ones on a dedicated VR computer. Therefore, heavy performance optimization is needed in order to run full scale applications on the Oculus Quest without facing application slow downs and performance drops. PlayBricks; A VR application running on the Oculus Quest using Unreal Engine 4 and C++, is developed to simulate real life LEGOs for architectural design and educational applications. The hardest problem faced in development is the performance problem, where the number of blocks the user places before the application starts slowing down is not enough to build anything meaningful. Through the optimization of the CPU, GPU and draw call threads, the paper reveals how the number of building blocks can be increased from 100 blocks to reach 12,000 blocks.

关键词： Games Optimization Engines Headphones Tools Graphics processing units Education

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Asymptotic-Diffusion Analysis for Retrial Queue with Batch Poisson Input and Multiple Types of Outgoing Calls 22nd

Asymptotic-Diffusion Analysis for Retrial Queue with Batch P...

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22nd International Conference on Distributed and computer and Communication Networks, DCCN 2019

作者： Nazarov, Anatoly Phung-Duc, Tuan Paul, Svetlana Lizura, Olga Institute of Applied Mathematics and Computer Science National Research Tomsk State University 36 Lenina ave. Tomsk634050 Russia Faculty of Engineering Information and Systems University of Tsukuba 1-1-1 Tennodai Ibaraki Tsukuba305-8573 Japan

ISBN: (纸本)9783030366131

In this paper, we consider a retrial queue with batch Poisson input process, arbitrarily distributed service times and arbitrarily distributed number of calls in the batch. Upon arrival, a call from the batch occupies the server if it is idle. The other calls from the batch join the orbit. If the server is busy, all calls from the batch go to the orbit. In the orbit, incoming calls stay for an exponentially distributed random delay and repeat their request for service. Besides incoming calls, the server can also make outgoing calls when idle. We assume that there are several types of outgoing calls in the system. The aim of the current research is to obtain asymptotic probability distribution of the number of incoming calls in the system using an asymptotic-diffusion analysis method. © Springer Nature Switzerland AG 2019.

关键词： Queueing theory

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Binary linear codes with few weights from Boolean functions

arXiv

引用

arXiv 2020年

作者： Wang, Xiaoqiang Zheng, Dabin Zhang, Yan Hubei Key Laboratory of Applied Mathematics Faculty of Mathematics and Statistics Hubei University Wuhan430062 China School of Computer Science and Information Engineering Hubei University Wuhan430062 China

Boolean functions have very nice applications in cryptography and coding theory, which have led to a lot of research focusing on their applications. The objective of this paper is to construct binary linear codes with few weights from the defining set, which is defined by some special Boolean functions and some additional restrictions. First, we provide two general constructions of binary linear codes with three or four weights from Boolean functions with at most three Walsh transform values and determine the parameters of their dual codes. Then many classes of binary linear codes with explicit weight enumerators are obtained. Some binary linear codes and their duals obtained are optimal or almost optimal. The binary linear codes obtained in this paper may have a special interest in secret sharing schemes, association schemes, strongly regular graphs. Copyright © 2020, The Authors. All rights reserved.

关键词： Boolean functions

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An Image Stabilization Technique for Long-durational Outdoor Footages Obtained by Visual IoT systems

An Image Stabilization Technique for Long-durational Outdoor...

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International Symposium on Wireless Personal Multimedia Communications (WPMC)

作者： Yuki Murakami Ken T. Murata Kazutaka Kikuta Michiharu Niimi Tomohiro Kawanabe Takamichi Mizuhara Toshiki Aoki Kazunori Yamamoto Tsutomu Nagatsuma Kazuki Kobayashi Keiichiro Fukuzawa Praphan Pavarangkoon ICT Testbed Research and Development Promotion Center National Institute of Information and Communications Technology (NICT) Tokyo Japan Resilient ICT Reserach Center National Institute of Information and Communications Technology (NICT) Sendai Japan Faculty of Computer Science and Systems Engineering Kyushu Institute of Technology (Kyutech) Fukuoka Japan Clealink Technology Kyoto Japan Faculty of Engineering Shinshu University Nagano Japan Academic Center for Computing and Media Studies (ACCMS) Kyoto University Kyoto Japan Faculty of Information Technology King Mongkut’s Institute of Technology Ladkrabang Bangkok Thailand

ISBN: (纸本)9781665427616

Disaster mitigation is a significant issue where modern wireless network systems are expected to play a crucial role. It is believed that Visual IoT is one of the key techniques because of its monitoring abilities of urban and rural areas. The outdoor Visual IoT systems generally transfer a large number of footage every day. To detect information from large-size footage datasets, automatic time subtractions between frames are effective. However, to extract even tiny difference between frames, camera shake causes a serious damage. In this study we first survey long-durational footage transmitted from outdoor cameras installed in a city to examine that the stabilization techniques based on feature keypoints are effective to camera shake. Based on this survey we define a matching index to judge if the stabilization is of use or not for every couple of frames. The index is implemented with help of a camera calibration library in OpenCV using AKAZE feature. We then propose a method to stabilize footage continuously obtained by outdoor Visual IoT systems. Using the matching index, we examine one-day footage to find that stabilization is occasionally not applicable in case when the matching index is relatively larger or smaller than 1 (when matching is complete) or the number of matching pairs using AKAZE keypoints are too few. According to the results we set a threshold value of the matching index. We finally perform this technique to footage recorded on a couple of strongly windy days. The efficiency is numerically and visually confirmed on each footage successfully.

关键词： Visualization Cloud computing Wireless networks Urban areas Cameras Feature extraction Libraries

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Developing future human-centered smart cities: Critical analysis of smart city security, data management, and ethical challenges

arXiv

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arXiv 2020年

作者： Ahmad, Kashif Maabreh, Majdi Ghaly, Mohamed Khan, Khalil Qadir, Junaid Al-Fuqaha, Ala Hamad Bin Khalifa University Doha Qatar Department of Computer Information Systems Faculty of Prince Al-Hussein Bin Abdullah Ii for Information Technology The Hashemite University Zarqa13133 Jordan Research Center for Islamic Legislation & Ethics College of Islamic Studies Hamad Bin Khalifa University Doha Qatar Department of Information Technology and Computer Science Pak-Austria Fachhochschule: Institute of Applied Sciences and Technology KPK Haripur Pakistan Department of Computer Science and Engineering Faculty of Engineering Qatar University Doha Qatar Department of Electrical Engineering Information Technology University Lahore Pakistan

As the globally increasing population drives rapid urbanisation in various parts of the world, there is a great need to deliberate on the future of the cities worth living. In particular, as modern smart cities embrace more and more data-driven artificial intelligence services, it is worth remembering that (1) technology can facilitate prosperity, wellbeing, urban livability, or social justice, but only when it has the right analog complements (such as well-thought out policies, mature institutions, responsible governance);and (2) the ultimate objective of these smart cities is to facilitate and enhance human welfare and social flourishing. Researchers have shown that various technological business models and features can in fact contribute to social problems such as extremism, polarization, misinformation, and Internet addiction. In the light of these observations, addressing the philosophical and ethical questions involved in ensuring the security, safety, and interpretability of such AI algorithms that will form the technological bedrock of future cities assumes paramount importance. Globally there are calls for technology to be made more humane and human-centered. In this paper, we analyze and explore key challenges including security, robustness, interpretability, and ethical (data and algorithmic) challenges to a successful deployment of AI in human-centric applications, with a particular emphasis on the convergence of these concepts/challenges. We provide a detailed review of existing literature on these key challenges and analyze how one of these challenges may lead to others or help in solving other challenges. The paper also advises on the current limitations, pitfalls, and future directions of research in these domains, and how it can fill the current gaps and lead to better solutions. We believe such rigorous analysis will provide a baseline for future research in the domain. © 2020, CC BY.

关键词： information management

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

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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.

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Data Race Prediction for Inaccurate Traces

arXiv

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arXiv 2019年

作者： Sulzmann, Martin Stadtmüller, Kai Faculty of Computer Science and Business Information Systems Karlsruhe University of Applied Sciences Moltkestrasse 30 Karlsruhe76133 Germany

Happens-before based data race prediction methods infer from a trace of events a partial order to check if one event happens before another event. If two two write events are unordered, they are in a race. We observe that common tracing methods provide no guarantee that the trace order corresponds to an actual program run. The consequence of inaccurate tracing is that results (races) reported are inaccurate. We introduce diagnostic methods to examine if (1) a race is guaranteed to be correct regardless of any potential inaccuracies, (2) maybe is incorrect due to inaccurate tracing. We have fully implemented the approach and provide for an empirical comparison with state of the art happens-before based race predictors such as FastTrack and SHB. Copyright © 2019, The Authors. All rights reserved.

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