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IEEE International Conference on Computation, communication and Engineering (ICCCE)

作者： Min-Chang Wu Chi-Ming Huang Chun-Chang Chiang Kuo-Sheng Kao Da-Long Cheng Yen-Yi Li Chung-Ang Liu Po-Ren Chung Bureau of Public Works Kaohsiung City Government Department of Computer and Communication SHU-TE University Graduate School of Architecture and Interior Design SHU-TE University Department of Architecture National Cheng-Kung University

ISBN: (数字)9781728131122

ISBN: (纸本)9781728131139

The Kaohsiung city government adopted an action with a series of policies to increase solar energy production. Firstly, it established an operating network by forming an inter-departmental task force to promote photovoltaic (PV) systems in the public and private sectors. It also linked professional organizations with local communities and set up a dedicated hotline for consultation and inquiries. Secondly, it strengthened its photovoltaic infrastructure through formal statutes and regulations. This includes the announcement of a series of official solar photovoltaic policies, the promulgation of a floor area ratio incentive, and the enforcement of mandatory policies to increase photovoltaic implementation. Thirdly, it designated target sites to serve as examples of the project. These include installing photovoltaic systems on public rooftops, building photovoltaic demonstration zones, transforming illegal structures into solar power providers, and assisting the fishing and agricultural sectors in building photovoltaic systems. This study looks at the evidence of achievements for which the city has promoted scientifically meaningful architectural aesthetics in its innovative green buildings and energy technology, as well as the success it has seen pushing the policies through a bottom-up structure. In conclusion, it can be said that, using a model based on a project developed by our institute, the Kaohsiung city government has successfully made the renewable energy become an integral part of Kaohsiung's lifestyle, creating a threefold win for the government, the institute, and the people of Kaohsiung.

关键词： Photovoltaic systems Urban areas Buildings Green buildings Government

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Sparse code multiple access for 6G wireless communication networks: Recent advances and future directions

arXiv

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arXiv 2021年

作者： Yu, Lisu Liu, Zilong Wen, Miaowen Cai, Donghong Dang, Shuping Wang, Yuhao Xiao, Pei School of Information Engineering Nanchang University Nanchang330031 China State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing100190 China School of Computer Science and Electronics Engineering University of Essex ColchesterCO4 3SQ United Kingdom School of Electronic and Information Engineering South China University of Technology Guangzhou510640 China College of Cyber Security Jinan University Guangzhou510632 China Thuwal23955-6900 Saudi Arabia Institute for Communication Systems 5G Innovation Centre University of Surrey GuildfordGU2 7XH United Kingdom

As 5G networks rolling out in many different countries nowadays, the time has come to investigate how to upgrade and expand them towards 6G, where the latter is expected to realize the interconnection of everything as well as the development of a ubiquitous intelligent mobile world for intelligent life. To enable this epic leap in communications, this article provides an overview and outlook on the application of sparse code multiple access (SCMA) for 6G wireless communication systems, which is an emerging disruptive non-orthogonal multiple access (NOMA) scheme for the enabling of massive connectivity. We propose to apply SCMA to a massively distributed access system (MDAS), whose architecture is based on fiber-based visible light communication (FVLC), ultra-dense network (UDN), and NOMA. Under this framework, we consider the interactions between optical front-hauls and wireless access links. In order to stimulate more upcoming research in this area, we outline a number of promising directions associated with SCMA for faster, more reliable, and more efficient multiple access in future 6G communication networks. © 2021, CC BY-NC-ND.

关键词： Visible light communication

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Preface

Smart Innovation, Systems and Technologies

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Smart Innovation, Systems and Technologies 2021年 197卷 vii-viii页

作者： Mealha, Óscar Rehm, Matthias Rebedea, Traian Department of Communication and Art Digital Media and Interaction Research Center University of Aveiro Aveiro Portugal Department of Computer Science University Politehnica of Bucharest Bucharest Romania Department of Architecture Design and Media Technology Aalborg University Aalborg Denmark

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New Feedback Control Model in the Lattice Hydrodynamic Model Considering the Historic Optimal Velocity Difference Effect

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communications in Theoretical Physics 2018年第12期69卷 803-807页

作者： Guang-Han Peng Shu-Hong Yang Hong-Zhuan Zhao College of Physics and Electronics Hunan University of Arts and Science College of Physical Science and Technology Guangxi Normal University School of Computer Science and Communication Engineering Guangxi University of Science and Technology College of Architecture and Transportation Engineering Guilin University of Electronic Technology

A feedback control model of lattice hydrodynamic model is proposed by taking the information of the historic optimal velocity into account for the traffic system. The modern control theory is applied for the linear stability condition with feedback control signal. The result shows that the stability of traffic flow is closely related to the information of the historic optimal velocity. Furthermore, numerical simulations conform that the new feedback control did increase the stability of traffic flow efficiently, which is in accord with theoretical analysis.

关键词： traffic flow lattice hydrodynamic model control method traffic jam

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Undesigning the internet: An exploratory study of reducing everyday internet connectivity 5th

Undesigning the internet: An exploratory study of reducing e...

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5th International Conference on Information and communication Technology for Sustainability, ICT4S 2018

作者： Widdicks, Kelly Ringenson, Tina Pargman, Daniel Kuppusamy, Vishnupriya Lago, Patricia School of Computing and Communications Lancaster University United Kingdom School of Architecture and the Built Environment KTH Royal Institute of Technology Sweden School of Computer Science and Communication KTH Royal Institute of Technology Sweden Department of Sustainable Communication Networks University of Bremen Germany Department of Computer Science Vrije Universiteit Amsterdam Netherlands

Internet connectivity is seamlessly integrated into many of our everyday habits and activities. Despite this, previous research has highlighted that our rather excessive Internet use is not sustainable or even always socially beneficial. In this paper, we carried out an exploratory study on how Internet disconnection affects our everyday lives and whether such disconnection is even possible in today’s society. Through daily surveys, we captured what Internet use means for ten participants and how this varies when they are asked to disconnect by default, and re-connect only when their Internet use is deemed as necessary. From our study, we found that our participants could disconnect from the Internet for certain activities (particularly leisure focused), yet they developed adaptations in their lives to address the necessity of their Internet use. We elicit these adaptations into five themes that encompass how the participants did, or did not, use the Internet based on their necessities. Drawing on these five themes, we conclude with ways in which our study can inspire future research surrounding: Internet infrastructure limits;the promotion of slow values;Internet non-use;and the undesign of Internet services. © 2018, EasyChair. All rights reserved.

关键词： Leisure

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Optimization Model for Designing Multiple Virtualized Campus Area Networks Coordinating with Wide Area Networks

Optimization Model for Designing Multiple Virtualized Campus...

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作者： Kurimoto, Takashi Urushidani, Shigeo Oki, Eiji Information System Architecture Science Research Division National Institute of Informatics Tokyo101-8430 Japan Department of Communication and Computer Engineering Graduate School of Informatics Kyoto University Kyoto606-8501 Japan

We propose an optimization model for designing multiple network functions virtualization (NFV)-based campus area networks (CANs). Organizations, such as universities and research institutions have their own campus information and communication technology equipment, but many would like to move this equipment to NFV and cloud data centers for improving reliability and resiliency. However, NFV-based CAN is not affordable for them, because costs are higher with a cloud. One solution is for multiple organizations to procure NFV and cloud data center resources together. By doing so, their individual costs of using these resources will be reduced. To make progress on this approach, there are planning issues to resolve when choosing optimal NFV and cloud data center locations. The proposed model minimizes the total network costs incurred by the organizations, including the wide area network cost and data synchronization costs for recovery from faults at data centers and the various subcampus network configurations of legacy CANs. The model is formulated and analyzed by using mixed integer linear programming. The effect of cost minimization is evaluated in a ladder network and an actual network, SINET5, and it is found that the costs can be reduced by up to 63%. The calculation times of this model under practical conditions are short and the model will be useful in practice. It is also shown that the cost of fault recovery can be suppressed. These results will encourage organizations to deploy NFV-based CANs. © 2004-2012 IEEE.

关键词： Network function virtualization

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Multi-Modal Probabilistic Indoor Localization on a Smartphone

Multi-Modal Probabilistic Indoor Localization on a Smartphon...

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International Conference on Indoor Positioning and Indoor Navigation (IPIN)

作者： Frederike Dümbgen Cynthia Oeschger Mihailo Kolundžija Adam Scholefield Emmanuel Girardin Johan Leuenberger Serge Ayer School of Computer and Communication Sciences Ecole Polytechnique Fédérale de Lausanne Lausanne Switzerland School of Engineering and Architecture Fribourg (HEIA-FR) University of Applied Sciences and Arts Western Switzerland Fribourg Switzerland Vidinoti Fribourg Switzerland

The satellite-based Global Positioning System (GPS) provides robust localization on smartphones outdoors. In indoor environments, however, no system is close to achieving a similar level of ubiquity, with existing solutions offering different trade-offs in terms of accuracy, robustness and cost. In this paper, we develop a multi-modal positioning system, targeted at smartphones, which aims to get the best out of each of its constituent modalities. More precisely, we combine Bluetooth low energy (BLE) beacons, round-trip-time (RTT) enabled WiFi access points and the smartphone's inertial measurement unit (IMU) to provide a cheap robust localization system that, unlike fingerprinting methods, requires no pre-training. To do this, we use a probabilistic algorithm based on a conditional random field (CRF). We show how to incorporate sparse visual information to improve the accuracy of our system, using pose estimation from pre-scanned visual landmarks, to calibrate the system online. Our method achieves an accuracy of around 2 meters on two realistic datasets, outperforming other distance-based localization approaches. We also compare our approach with an ultra-wideband (UWB) system. While we do not match the performance of UWB, our system is cheap, smartphone compatible and provides satisfactory performance for many applications.

关键词： Wireless fidelity Visualization Bluetooth Distance measurement Atmospheric measurements Particle measurements Calibration

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Civil War Battlefield Experience: Historical Event Simulation using Augmented Reality Technology

Civil War Battlefield Experience: Historical Event Simulatio...

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IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)

作者： Vinh T. Nguyen Kwanghee Jung SeungChul Yoo Seungman Kim Sohyun Park Melissa Currie Dept. of Computer Science Texas Tech University Texas United States Dept. of Edu. Psychology&Leadership Texas Tech University Texas United States Division of Communication&Media Ewha Womans University Seoul South Korea Dept. of PSLA University of Connecticut Connecticut United States Dept. of Landscape Architecture Texas Tech University Texas United States

ISBN: (数字)9781728156040

ISBN: (纸本)9781728156057

In recent years, with the development of modern technology, Virtual Reality (VR) has been proven as an effective means for entertaining and encouraging learning processes. Users immerse themselves in a 3D environment to experience situations that are very difficult or impossible to encounter in real life, such as volcanoes, ancient buildings, or events on a battlefield. Augmented Reality (AR), on the other hand, takes a different approach by allowing users to remain in their physical world while virtual objects are overlaid on physical ones. In education and tourism, VR and AR are becoming platforms for student learning and tourist attractions. Although several studies have been conducted to promote cultural preservation, they are mostly focused on VR for historical building visualization. The use of AR for simulating an event is relatively uncommon, especially for a battlefield simulation. This paper presents a work-in-progress, specifically a web-based AR application that enables both students and tourists to witness a series of battlefield events occurring at the Battle of Palmito Ranch, located near Brownsville, Texas. With markers embedded directly into the printed map, users can experience the last battle of the Civil War in the US.

关键词： Three-dimensional displays Solid modeling Cultural differences Augmented reality Animation Buildings Visualization

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A Sparse Superposition Multiple Access Scheme and Performance Analysis for 5G Wireless communication Systems

A Sparse Superposition Multiple Access Scheme and Performanc...

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IEEE International Conference on communications in China Workshops (ICCC)

作者： Kai Zhang Jin Xu Changchuan Yin Weiqiang Tan Chunguo Li Beijing Key Laboratory of Network System Architecture and Convergence Beijing University of Posts and Telecommunications Beijing China School of Computer and Communication Engineering Zhengzhou University of Light Industry Zhengzhou China School of Computer Science Guangzhou University Guangzhou China National Communications Research Laboratory Southeast University Nanjing China

ISBN: (纸本)9781538670125;9781538670118

Orthogonal multiple access (OMA) is widely employed in traditional cellular wireless communication systems due to a low-complexity receiver is needed. However, multiple access scheme with higher spectral efficiency and the capability of access more users than OMA scheme is preferred for the future wireless communication systems. In this work, we propose a non-orthogonal multiple access scheme called sparse superposition multiple access (SSMA) by superposing more users to a limited number of time-frequency resource for the uplink transmission in the fifth generation (5G) wireless communication systems. Moreover, we design two sparse superposition matrices (SSMs) for 150% and 200% overloaded SSMA scheme. Then, a low complexity belief propagation detection and decoding algorithm based multiple user detection is proposed. Furthermore, we utilize extrinsic information transfer chart to analyze the superiority of the proposed SSMs theoretically and the numerical results show that the proposed SSM with an overload of 150% has a gain of about 1 dB compared to the existing scheme. Finally, simulation results demonstrate that the proposed scheme outperforms the traditional OMA scheme and the existing scheme significantly.

关键词： Multiuser detection Wireless communication Conferences Convergence Maximum likelihood decoding Message passing Receivers

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AGlobal benchmark of algorithms for segmentinglate gadolinium-enhanced cardiac magnetic resonance imaging

arXiv

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arXiv 2020年

作者： Xiong, Zhaohan Xia, Qing Hu, Zhiqiang Huang, Ning Bian, Cheng Zheng, Yefeng Vesal, Sulaiman Ravikumar, Nishant Maier, Andreas Yang, Xin Heng, Pheng-Ann Ni, Dong Li, Caizi Tong, Qianqian Si, Weixin Puybareau, Elodie Khoudli, Younes Géraud, Thierry Chen, Chen Bai, Wenjia Rueckert, Daniel Xu, Lingchao Zhuang, Xiahai Luo, Xinzhe Jia, Shuman Sermesant, Maxime Liu, Yashu Wang, Kuanquan Borra, Davide Masci, Alessandro Corsi, Cristiana De Vente, Coen Veta, Mitko Karim, Rashed Preetha, Chandrakanth Jayachandran Engelhardt, Sandy Qiao, Menyun Wang, Yuanyuan Tao, Qian Nuñez-Garcia, Marta Camara, Oscar Savioli, Nicolo Lamata, Pablo Zhao, Jichao Auckland Bioengineering Institute University of Auckland Auckland New Zealand State Key Lab of Virtual Reality Technology and Systems Beihang University Beijing China School of Electronics Engineering and Computer Science Peking University Beijing China SenseTime Inc Shenzhen China Tencent Jarvis Laboratory Shenzhen China Pattern Recognition Lab Friedrich-Alexander-Universität Erlangen-Nürnberg Erlangen Germany Department of Computer Science and Engineering Chinese University of Hong Kong Hong Kong National-Regional Key Technology Engineering Laboratory for Medical Ultrasound School of Biomedical Engineering Shenzhen University Shenzhen China School of Computer Science Wuhan University Wuhan China Shenzhen Key Laboratory of Virtual Reality and Human Interaction Technology Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China Epita Research and Development Laboratory Paris France Department of Computing Imperial College London London United Kingdom School of Naval Architecture Shanghai Jiao Tong University Ocean & Civil Engineering Shanghai China School of Data Science Fudan University Shanghai China Epione Research Group Universite Cote d'Azur Inria Sophia Antipolis France Harbin Institute of Technology School of Computer Science and Technology Harbin China Department of Electric University of Bologna Electronic and Information Engineering Cesena Italy Department of Biomedical Engineering Eindhoven University of Technology Eindhoven Netherlands School of Biomedical Engineering and Imaging Sciences Kings College London London United Kingdom Faculty of Electrical Engineering and Information Technology University of Magdeburg Magdeburg Germany Heidelberg University Hospital Germany Biomedical Engineering Center Fudan University Shanghai China Department of Radiology Leiden University Medical Center Leiden Netherlands Department of Information and Communication Technologies Universitat Pompeu Fabra Barcelona Spain D

Segmentation of cardiac images, particularly late gadolinium-enhanced magnetic resonance imaging (LGE-MRI)widely used for visualizing diseased cardiacstructures, is a crucial first step for clinical diagnosis and treatment. However, direct segmentation ofLGE-MRIsischallenging due to *** most clinical studies have relied on manual and labor-intensive approaches, automatic methods are of high interest, particularly optimized machine learning *** address this, we organized the "2018 Left Atrium Segmentation Challenge" using 154 3D LGE-MRIs, currently the world's largest cardiac LGE-MRI dataset, and associated labels of the left atriumsegmented by three medical experts,ultimately attractingthe participation of27 international teams. In this paper, extensive analysis of the submitted algorithms using technical and biological metrics was performed by undergoing subgroup analysis and conducting hyper-parameter analysis,offeringan overall picture ofthe major design choices of convolutional neural networks(CNNs) and practical considerations for achieving state-of-the-art left atrium segmentation. Results show the top methodachieved a dice score of 93.2%and a mean surface to a surface distance of 0.7mm, significantly outperforming prior state-of-the-art. Particularly, our analysisdemonstrated that double, sequentially usedCNNs, in which a first CNN is used for automatic region-of-interestlocalization and a subsequent CNN is used for refinedregional segmentation, achieved far superiorresults than traditional methods and pipelinescontaining *** findings from this study can potentially be extended to other imaging datasets and modalities, having an impact on the wider medical imaging *** large-scale benchmarking study makes a significant step towards much-improved segmentation methods for cardiac LGE-MRIs, and will serveas animportant benchmark for evaluating and comparing the future works in the field. Copyright © 2020, Th

关键词： Magnetic resonance imaging

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