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Guest editorial introduction to the special issue on citizen centered e-health systems in a global healthcare environment: Selected papers from ITAB 2009

Guest editorial introduction to the special issue on citizen...

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作者： Pattichis, Constantinos S. Schizas, Christos N. Kyriakou, Efthyvoulos C. Fotiadis, Dimitris I. Pattichis, Marios S. Bamidis, Panagiotis D. Department of Computer Science University of Cyprus 1678 Nicosia Cyprus Department of Computer Science and Engineering Frederick University Lemesos 3080 Cyprus Unit of Medical Technology and Intelligent Information Systems Department of Materials Science and Engineering University of Ioannina 45110 Ioannina Greece Department of Electrical and Computer Engineering University of New Mexico Albuquerque NM 87131 United States Laboratory of Medical Informatics Medical School Aristotle University of Thessaloniki Thessaloniki 54636 Greece

The January 2011 Special Issue of IEEE Transactions on Information Technology in Biomedicine includes selected papers from Information Technology in Biomedicine (ITAB 2009), held in the month of October in Cyprus. The overall objective of ITAB 2009 was to cover the state of the art in Information Technology Applications in Biomedicine, under the theme 'Citizen centered e-health systems in a global healthcare environment'. The Issue contains paper by Karagiannis and colleagues that investigates the performance of empirical mode decomposition (EMD) on ECGs. The paper by Stylianides introduces a novel, open source middleware framework for communication with medical devices and an application using the middleware named intensive care window (ICW). Cunningham and colleagues propose a home-based tool designed to monitor and assess peripheral motor symptoms. Loizou and colleagues introduce the use of multiscale AM FM texture analysis of multiple sclerosis (MS) using MR images from the brain.

关键词： Middleware

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NPU Thermal Management

NPU Thermal Management

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作者： Amrouch, Hussam Zervakis, Georgios Salamin, Sami Kattan, Hammam Anagnostopoulos, Iraklis Henkel, Jorg in the Computer Science Electrical Engineering Faculty University of Stuttgart Stuttgart Germany Chair for Embedded Systems Karlsruhe Institute of Technology Karlsruhe Germany Department of Electrical and Computer Engineering Southern Illinois University CarbondaleIL United States

Neural processing units (NPUs) are becoming an integral part in all modern computing systems due to their substantial role in accelerating neural networks (NNs). The significant improvements in cost-energy-performance stem from the massive array of multiply accumulate (MAC) units that remarkably boosts the throughput of NN inference. In this work, we are the first to investigate the thermal challenges that NPUs bring, revealing how MAC arrays, which form the heart of any NPU, impose serious thermal bottlenecks to on-chip systems due to their excessive power densities. For the first time, we explore: 1) the effectiveness of precision scaling and frequency scaling (FS) in temperature reductions and 2) how advanced on-chip cooling using superlattice thin-film thermoelectric (TE) open doors for new tradeoffs between temperature, throughput, cooling cost, and inference accuracy in NPU chips. Our work unveils that hybrid thermal management, which composes different means to reduce the NPU temperature, is a key. To achieve that, we propose and implement PFS-TE technique that couples precision and FS together with superlattice TE cooling for effective NPU thermal management. Using commercial signoff tools, we obtain accurate power and timing analysis of MAC arrays after a full-chip design is performed based on 14-nm Intel FinFET technology. Then, multiphysics simulations using finite-element methods are carried out for accurate heat simulations in the presence and absence of on-chip cooling. Afterward, comprehensive design-space exploration is presented to demonstrate the Pareto frontier and the existing tradeoffs between temperature reductions, power overheads due to cooling, throughput, and inference accuracy. Using a wide range of NNs trained for image classification, experimental results demonstrate that our novel NPU thermal management increases the inference efficiency (TOPS/Joule) by $1.33\times $ , $1.87\times $ , and $2\times $ under different temperature constrain

关键词： Temperature control

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Implementing Data science and Big Data Analytics to Their Full Potential: Protocols for Gaining Useful Understanding and Promoting Data-Driven Innovation 5

Implementing Data Science and Big Data Analytics to Their Fu...

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5th IEEE Global Conference for Advancement in Technology, GCAT 2024

作者： Arthy, M. Nivethitha, S.B. Karuppiah, S.P. Vijayanandh, T. Sumalatha, A. Ramesh, T. School of Computing College of Engineering and Technology Department of Data Science and Business Systems Tamil Nadu Kattankulathur India Rajalakshmi Engineering College Mechatronics Engineering Tamil Nadu Chennai India St.Joseph's College of Engineering Department of Mba India Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology School of Computing Department of Computer Science & Engineering Tamil Nadu Chennai India Kristu Jayanti College Autonomous Department of Computer Science Bengaluru India R.M.K Engineering College Department of Computer Science & Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350376685

The proper implementation of data science and big data analytics has become an essential component for gaining valuable insight and driving innovation across a variety of industries in this era, which is characterized by the constant presence of data. The strategies and protocols that are necessary to fully exploit the promise of these transformational technologies are investigated in depth by this research. A complete framework for enterprises to harness their data assets is the goal of the study, which will be accomplished by analyzing the fundamental principles of data science as well as the difficulties connected with big data. A number of advanced analytics methods, including machine learning, predictive modeling, and natural language processing, are being investigated as potential integrations into the decision-making process as part of this research. The relevance of data governance, quality, and the ethical considerations that surround data usage are also discussed in this document. It is demonstrated in this study that data-driven insights may lead to strategic advantages, operational efficiencies, and the development of creative goods and services. This is accomplished through a number of case studies and practical examples. In order for businesses to make the most of the potential that are given by data science and big data analytics, it is vital for them to have a culture of data literacy as well as a robust infrastructure, according to the results made. At the end of the study, a collection of best practices and recommendations for businesses and governments to implement in order to cultivate a data-driven environment that encourages innovation and usage of data in a responsible manner are presented. In light of the findings of this study, it is clear that data science and big data analytics require a more comprehensive approach, one that strikes a balance between technological capabilities, organizational readiness, and the influence on society. © 2024

关键词： Big Data Analytics Data Governance Data Infrastructure Data Literacy Data Quality Data science Data-Driven Decision Making Data-Driven Innovation Ethical Considerations Machine Learning Natural Language Processing Predictive Modeling Strategic Advantage

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IEEE radio communications - Components, systems, and networks

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IEEE COMMUNICATIONS MAGAZINE 2007年第9期45卷 38-38页

作者： Evans, Joseph Zvonar, Zoran Department of Electrical Engineering and Computer Science Research Information Technology University of Kansas Lawrence KS United States Division of Computer and Network Systems Department for Computer and Information Science and Engineering National Science Foundation United States Systems Engineering Group RF and Wireless System Business Unit Analog Devices

No abstract available

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The Affecting Factors of Blockchain Technology Adoption of Payments systems in Indonesia Banking Industry 3

The Affecting Factors of Blockchain Technology Adoption of P...

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3rd International Conference on Information Management and Technology, ICIMTech 2018

作者： Taufiq, Rohmat Meyliana Hidayanto, Achmad Nizar Prabowo, Harjanto Computer Science Department BINUS Graduate Program-Doctor of Computer Science Bina Nusantara University Jakarta11480 Indonesia Informatic Engineering Engineering Faculty University Muhammadiyah of Tangerang Tangerang15117 Indonesia Information Systems Department Bina Nusantara University School of Information Systems Jakarta11480 Indonesia Faculty of Computer Science University of Indonesia Depok16424 Indonesia Management Department Bina Nusantara University BINUS Business School Undergraduate Program Jakarta11480 Indonesia

ISBN: (纸本)9781538658215

The purpose of this study is to find the influence factors of blockchain technology adoption of payments system in Indonesia banking industry. Moreover, the researchers proposed new model of payment system by using blockchain technology in Indonesia banking industry. All this time, the researchers of blockchain in payment systems were done in major countries such as UK, USA, Australia, Scotland, Germany, Japan, France, Italy, and China. Systematic Literature Review (SLR) used as a method in this study and there were five databases that taken as references, such as IEEE, science direct, AIS electronic, ACM and Google Scholar. The researchers were found 26 references Studies Included in Quantitative Synthesis and 9 variables (Easy to use, Usefulness, Transaction fees, Risk perception, Behaviour intention of use, Attitude toward, Cognitive style, Subjective Norm, Effectiveness). Based on the result of data analysis and discussion, there were two conclusions in this study, the first, the researchers found nine factors that expected tobe used as a reference if Indonesia banking industry wants to adopt blockchain technology for payment system;and second, the researchers had to propose payment system model by using blockchain technology in Indonesia banking industry. © 2018 IEEE.

关键词： Blockchain

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Needs assessment for computer - Integrated surgery systems 3rd

Needs assessment for computer - Integrated surgery systems

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3rd International Conference on Medical Image Computing and computer-Assisted Intervention, MICCAI 2000

作者： Graham, Sarah Taylor, Russell H. Vannier, Michael Department of Computer Science Engineering Research Center for Computer-Integrated Surgical Systems and Technology Johns Hopkins University BaltimoreMD United States Department of Radiology University of Iowa Iowa CityIA United States

ISBN: (纸本)3540411895

The needs of surgeons for computer-assisted systems cannot be satisfied unless their requirements and expectations are known. We determined surgeons' needs for computer-aided systems using group facilitation processes that measure customer wants and needs, including quality function deployment and Kano Analysis. A one-day workshop hosted by the CISST ERC (computer Integrated Surgical systems and Technology engineering Research Center) included thirteen surgeons and eight engineers. The primary goal of the workshop was to determine medical professionals' needs and expectations at the earliest stages of research and development. Surgeons and nurses from Johns Hopkins Medical Institutions participated in the one-day event. The results include an affinity diagram, a prioritized list of wants and needs in the "voice of the customer", and a Kano Analysis of 25 question pairs that reveal exceptional features that can be included in computer-aided surgical systems. © Springer-Verlag Berlin Heidelberg 2000.

关键词： Quality function deployment

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Quorum sensing-based interactions among drugs,microbes,and diseases

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science China(Life sciences) 2023年第1期66卷 137-151页

作者： Shengbo Wu Shujuan Yang Manman Wang Nan Song Jie Feng Hao Wu Aidong Yang Chunjiang Liu Yanni Li Fei Guo Jianjun Qiao School of Chemical Engineering and Technology Tianjin UniversityTianjin 300072China School of Computer Science and Engineering Central South UniversityChangsha 410083China State Key Laboratory of Chemical Engineering Tianjin UniversityTianjin 300072China Collaborative Innovation Center of Chemical Science and Engineering(Tianjin) Tianjin 300072China Key Laboratory of Systems Bioengineering Ministry of Education(Tianjin University)Tianjin 300072China School of Computer Science and Technology College of Intelligence and ComputingTianjin UniversityTianjin 300350China Department of Engineering Science University of OxfordOxford OX13PJUK Institute of Shaoxing Tianjin UniversityShaoxing 312300China

Many diseases and health conditions are closely related to various microbes,which participate in complex interactions with diverse drugs;nonetheless,the detailed targets of such drugs remain to be *** existing studies have reported causal associations among drugs,gut microbes,or diseases,calling for a workflow to reveal their intricate *** this study,we developed a systematic workflow comprising three modules to construct a Quorum Sensing-based Drug-Microbe-Disease(QSDMD)database(http://***/),which includes diverse interactions for more than 8,000 drugs,163 microbes,and 42 common *** interactions between microbes and more than 8,000 drugs have been systematically studied by targeting microbial QS receptors combined with a docking-based virtual screening technique and in vitro experimental ***,we have constructed a QS-based drug-receptor interaction network,proposed a systematic framework including various drug-receptor-microbe-disease connections,and mapped a paradigmatic circular interaction network based on the QS-DMD,which can provide the underlying QS-based mechanisms for the reported causal *** QS-DMD will promote an understanding of personalized medicine and the development of potential therapies for diverse *** work contributes to a paradigm for the construction of a molecule-receptor-microbe-disease interaction network for human health that may form one of the key knowledge maps of precision medicine in the future.

关键词： quorum sensing drugs microbe-disease association microbe-host interaction gut microbiota personalized medicine

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Spartan/sextant/compass: Advancing space rover vision via reconfigurable platforms 11

Spartan/sextant/compass: Advancing space rover vision via re...

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11th International Symposium on Applied Reconfigurable Computing, ARC 2015

作者： Lentaris, George Stamoulias, Ioannis Diamantopoulos, Dionysios Maragos, Konstantinos Siozios, Kostas Soudris, Dimitrios Rodrigalvarez, Marcos Aviles Lourakis, Manolis Zabulis, Xenophon Kostavelis, Ioannis Nalpantidis, Lazaros Boukas, Evangelos Gasteratos, Antonios School of Electrical and Computer Engineering NTUA Athens Greece Advanced Space Systems and Technologies GMV Tres Cantos Spain Institute of Computer Science FORTH Heraklion Greece Department of Production and Management Engineering DUTH Xanthi Greece

ISBN: (纸本)9783319162133

Targeting enhanced navigational speed and autonomy for the space exploration rovers, researchers are gradually turning to reconfigurable computing and FPGAs. High-density space-grade FPGAs will enable the acceleration of high-complexity computer vision algorithms for improving the localization and mapping functions of the future Mars rovers. In the projects SPARTAN/SEXTANT/COMPASS of the European Space Agency, we study the potential use of FPGAs for implementing a variety of stereo correspondence, feature extraction, and visual odometry algorithms, all with distinct cost-performance tradeoffs. The most efficient of the developed accelerators will assist the slow spacegrade CPU in completing the visual tasks of the rover faster, by one order of magnitude, and thus, will allow the future missions to visit larger areas on Mars. Our work bases on a custom HW/SW co-design methodology, parallel architecture design, optimization techniques, tradeoff analysis, and system tuning with Martian-like scenarios. © Springer International Publishing Switzerland 2015.

关键词： Field programmable gate arrays (FPGA)

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On a novel tracking differentiator design based on iterative learning in a moving window

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Control Theory and Technology 2023年第1期21卷 46-55页

作者： Xiangyang Li Rafal Madonski Zhiqiang Gao Senping Tian Key Laboratory of Autonomous Systems and Network Control Ministry of EducationSchool of Automation Science and EngineeringSouth China University of TechnologyGuangzhou 510641China Energy and Electricity Research Center Jinan UniversityZhuhai 519070China Department of Electrical and Computer Science Cleveland State UniversityClevelandOH 44115USA

Differential signals are key in control engineering as they anticipate future behavior of process variables and therefore are critical in formulating control laws such as proportional-integral-derivative(PID).The practical challenge,however,is to extract such signals from noisy measurements and this difficulty is addressed first by *** in the form of linear and nonlinear tracking differentiator(TD).While improvements were made,TD did not completely resolve the conflict between the noise sensitivity and the accuracy and timeliness of the *** two approaches proposed in this paper start with the basic linear TD,but apply iterative learning mechanism to the historical data in a moving window(MW),to form two new iterative learning tracking differentiators(IL-TD):one is a parallel IL-TD using an iterative ladder network structure which is implementable in analog circuits;the other a serial IL-TD which is implementable digitally on any computer *** algorithms are validated in simulations which show that the proposed two IL-TDs have better tracking differentiation and de-noise performance compared to the existing linear TD.

关键词： Tracking differentiator(TD) Iterative learning Iterative learning tracking differentiator(IL-TD) Active disturbance rejection control(ADRC)-Two-dimensional system(2-D system)

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A review: Challenges and opportunities for artificial intelligence and robotics in the offshore wind sector

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Energy and AI 2022年第2期8卷 177-212页

作者： Daniel Mitchell Jamie Blanche Sam Harper Theodore Lim Ranjeetkumar Gupta Osama Zaki Wenshuo Tang Valentin Robu Simon Watson David Flynn Smart Systems Group Institute of SensorsSignals and SystemsSchool of Engineering and Physical SciencesHeriot-Watt UniversityEdinburghEH144ASUnited Kingdom Centre for Mathematics and Computer Science Intelligent and Autonomous Systems GroupCWIAmsterdam1098 XG Netherlands Algorithms Group Faculty of Electrical EngineeringMathematics and Computer Science(EEMCS)Delft University of Technology(TU Delft)Delft2628 XE Netherlands The University of Manchester Department of Electrical and Electronic EngineeringOxford RoadManchesterM139PL United Kingdom James Watt School of Engineering University of GlasgowG128QQUnited Kingdom

The UK has set plans to increase offshore wind capacity from 22GW to 154GW by 2030. With such tremendous growth, the sector is now looking to Robotics and Artificial Intelligence (RAI) in order to tackle lifecycle service barriers as to support sustainable and profitable offshore wind energy production. Today, RAI applications are predominately being used to support short term objectives in operation and maintenance. However, moving forward, RAI has the potential to play a critical role throughout the full lifecycle of offshore wind infrastructure, from surveying, planning, design, logistics, operational support, training and decommissioning. This paper presents one of the first systematic reviews of RAI for the offshore renewable energy sector. The state-of-the-art in RAI is analyzed with respect to offshore energy requirements, from both industry and academia, in terms of current and future requirements. Our review also includes a detailed evaluation of investment, regulation and skills development required to support the adoption of RAI. The key trends identified through a detailed analysis of patent and academic publication databases provide insights to barriers such as certification of autonomous platforms for safety compliance and reliability, the need for digital architectures for scalability in autonomous fleets, adaptive mission planning for resilient resident operations and optimization of human machine interaction for trusted partnerships between people and autonomous assistants. Our study concludes with identification of technological priorities and outlines their integration into a new ‘symbiotic digital architecture’ to deliver the future of offshore wind farm lifecycle management.

关键词： Artificial intelligence Autonomous systems Digitalization Offshore renewable energy Offshore wind farms Robotics

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