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检索条件"任意字段=International Conference on Intelligent and Smart Computing in Data Analytics, ISCDA 2020"

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Health Information Exchange with Blockchain amid Covid-19-like Pandemics 16

Health Information Exchange with Blockchain amid Covid-19-li...

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16th Annual international conference on Distributed computing in Sensor Systems (DCOSS)

作者： Christodoulou, Klitos Christodoulou, Panayiotis Zinonos, Zinon Carayannis, Elias G. Chatzichristofis, Savvas A. Univ Nicosia Inst Future IFF Nicosia Cyprus Neapolis Univ Pafos Intelligent Syst Lab Dept Comp Sci Pafos Cyprus George Washington Univ Washington DC USA

ISBN: (数字)9781728143514

ISBN: (纸本)9781728143514

The COVID-19 pandemic is stress-testing existing health information exchange systems. There exists an increasing demand for sharing patient information and efficiently responding to patient medial data requests. Current health information technologies lack data fluidity, especially for remotely sharing medical data beyond their protected, local data storage. This paper presents a blockchain-based data-sharing framework that leverages the properties of immutability and decentralization to ensure a secure, user-centric approach for accessing and controlling access to sensitive medical data. The proposed framework builds its foundations on a peer-to-peer network fueled by the distributed InterPlanetary File System combined with on-chain tagging, and on the use of cryptographic generation techniques for enabling a secure way of sharing medical data. The flow of information is orchestrated by a smart-contract deployed on a blockchain-based protocol to ensure traceability and data integrity. The effectiveness of the framework is demonstrated with the implementation of the framework over a pilot study.

关键词： Blockchain Electronic Health Records Medical Informatics

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Edge computing: A review of application scenarios 16th

Edge computing: A review of application scenarios

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16th international conference on Distributed computing and Artificial Intelligence, DCAI 2019

作者： Sittón-Candanedo, Inés Bisite Research Group University of Salamanca Calle Espejo 2 Salamanca37007 Spain

ISBN: (纸本)9783030239459

Edge computing (EC) emerges as an alternative to process the large volume of data generated by devices connected to the Internet, through the Internet of Things (IoT). This article is an introduction to EC and application scenarios such as: smart cities, Industry 4.0, smart energy, healthcare, in which EC could allow the optimization of processes that normally run in cloud computing. This optimization consists in the pre-processing the data collected by devices before being sent to a central server, or to the cloud. © 2020, Springer Nature Switzerland AG.

关键词： Edge computing

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Design of Reactive Power Compensation for Low Voltage Distribution Network Based on intelligent Control Switch

Design of Reactive Power Compensation for Low Voltage Distri...

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IEEE international conference on Cloud computing and Big data Analysis (ICCCBDA)

作者： Wang Li Wang Wei Zhou Jia Yong School of Electrical and Electronic Guangzhou Institute of Science and Technology Guangzhou China School of Information Technology and Engineering Guangzhou College of Commerce Guangzhou China Yuanda Intelligent Equipment Limited Company Guangzhou China

Since the standardization of ac power distribution, reactive power compensation has become an essential part of commercial power system operation. This paper will review the history of the development of reactive power compensation strategy, analyze the equipment and methods of reactive power compensation, and discuss the strategy of reactive power compensation in low-voltage distribution network. Under conventional switching control, the switching of capacitors produces voltage transients that are disruptive for some users, and the fixed impedance causes the compensation level to fall below the optimal level. Therefore, the intelligent control switch will be used to calculate the power quality by the single chip microcomputer, control the intelligent switch to switch in the best position, in order to reduce the generated voltage transients, improve the power quality.

关键词： Reactive power Low voltage Power quality Switches Distribution networks Standardization Control systems

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Development of decision support system by smart monitoring of micro grid 1

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4th international conference on Research in intelligent and computing in Engineering, RICE 2019

作者： Sagar, Laxmi Kant Bhagwan Das, D. Department of Computer Science & Engineering G.L. Bajaj Institute of Technology & Management Greater Noida India Department of Electrical Energy Dayalbagh Educational Institute Agra India

ISBN: (数字)9789811527807

ISBN: (纸本)9789811527791

This paper presents a brief overview of the remote real time monitoring system of the smart micro grid at Dayalbagh Educational Institute. Various components of smart micro grid i.e., battery, inverter etc., are smartly monitored by continuous data collection and real time graphs. Potential harmful conditions of the solar PV system and the parameters of these grid components that effects efficiency of smart micro grid are taken into account and timely preventive/corrective control action is taken thereby contributing toward the decision support system. Also comparison is done with existing methodology and design of micro grid to prove the effectiveness of micro grid at DEI. © Springer Nature Singapore Pte Ltd. 2020.

关键词： Decision support systems

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Asset Management And Finite Element Analysis In smart grid

Asset Management And Finite Element Analysis In Smart grid

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international conference on computing, Communication & Automation (ICCCA)

作者： Priya R Krishnan Josephkutti Jacob Cochin University Of Science and Technology Cochin India

ISBN: (纸本)9781665447539

Asset management deals with the process of identifying, monitoring, controlling, and supervising the assets for reliable, stable, and uninterrupted operation of the smart grid. Installing and distributing asset management analytics requires a centralized asset health unit to deploy a proactive, high precession network. This paper throws light on the fundamental aspects, giving the main focus on digital twin technology, current trends in the management of transformers and circuit breakers using intelligent relays. The overwhelming importance of Finite Element Analysis, a numerical tool based on minimum potential energy for complex problems with intricate geometry, in the field of asset monitoring and analysis is portrayed using simulations. The Finite element formulation in two-dimensional fields is given primary emphasis. Reliability centered maintenance and Root Cause Failure Analysis increases the independence of the grid, but is prone to data theft and vulnerability attacks. The future trends in this field and the cyber security risk that a smart grid poses are also taken into consideration

关键词： Process control Market research Transformers Software Finite element analysis Asset management smart grids

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Big data and IoT System for Utility Power Planning using Commercial Cloud database 2

Big Data and IoT System for Utility Power Planning using Com...

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2nd international conference on Electrical, Communication and Computer Engineering, ICECCE 2020

作者： Ramesh, Jayroop Aburukba, Raafat Al-Ali, A.R. Computer Science and Engineering American University of Sharjah Sharjah United Arab Emirates

ISBN: (纸本)9781728171166

Utility providers face power planning challenges regarding energy efficiency and managing electricity generation based on consumer peak demand patterns. smart homes and smart meters provide Big data that can assist in mitigating these issues. However, to perform large scale analytics utility providers require vast computing and storage resources. Cloud service provider services such as cloud storage and cloud analytics are viable options that facilitate accessible, saleable, relatively low cost and highly available operations for utility services. This work discusses the efficacy of the two leading cloud service providers to evaluate the performance in big data read and writes, as well as on the performance of the data analysis within the context of utility power planning. The work also implements a solution for a smart home system to integrate with the cloud platform for storing generated data and forecasting peak demand predictions using platform specific tools. The forecasting models are compared to custom baseline models to benchmark the performance of the cloud platform models. The results of this work show that cloud platforms are viable alternatives for utility provider big data storage and analysis and enhances on the power planning capabilities. © 2020 IEEE.

关键词： Forecasting

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Analysis on the impact of FDI on regional innovation in China from the perspective of big data

Analysis on the impact of FDI on regional innovation in Chin...

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1st international conference on Big data analytics for Cyber-Physical System in smart City, BDCPS 2019

作者： Lin, Sitong School of Economics Shanghai University Chengzhong Road 20 Shanghai China

ISBN: (纸本)9789811525674

Based on the balanced panel data of 31 provinces in China from 2003 to 2016, this paper studies the impact of FDI on the innovation ability of China’s provinces through an econometric model. The results show that FDI has a significant positive U-shaped effect on the quantity of provincial innovation, and there are localization phenomena. However, according to the results of characteristic facts, FDI basically has a positive U-shaped effect on innovation quality of provinces, but in the central provinces represented by Heilongjiang, FDI has an inverted U-shape effect on innovation quality. At the same time, it is found that the relationship between FDI and innovation depends on the R&D expenditure, the level of economic development and the degree of knowledge protection in each province. More attention should be paid to the quality of FDI introduction and corresponding measures should be taken to promote innovation. © Springer Nature Singapore Pte Ltd. 2020.

关键词： Big data

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Digital University Admission Application System with Study Documents Using smart Contracts on Blockchain 11th

Digital University Admission Application System with Study D...

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11th international conference on intelligent Networking and Collaborative Systems (INCoS) / 22nd international conference on Network-Based Information Systems (NBiS)

作者： Mori, Kosuke Miwa, Hiroyoshi Kwansei Gakuin Univ Grad Sch Sci & Technol Sanda Hyogo Japan

ISBN: (纸本)9783030290351;9783030290344

In order to promote data distribution and utilization of personal data, the concept of data portability attracts attention. As an example of such personal data, there is a study document of a high school student used for entrance examination etc. Since study documents are still paper medium in Japan, computerization of study documents is planned. However, since a study document contains a lot of confidential information, the information must not be leaked even if erroneous transmission or mistake occurs. In addition, it is necessary to prevent falsification of information. The format of a study document is now planned to be updated by Ministry of Education, Culture, Sports, Science and Technology, and, in a updated study document, not only teachers input information but also student him/herself also conducts research activities, extra-curricular activities, qualifications/certification etc. Consequently, the authority of input/viewing becomes extremely complicated. In this paper, we propose a digital university admission application system with study documents and e-portfolio using smart contracts on blockchain. Furthermore, we implement the proposed system using Ethereum platform. Due to the property of the blockchain, the falsification of information is extremely difficult, information leakage is prevented by combining with encryption, and it is effective from the viewpoint of data portability.

关键词： Blockchain

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User Authentication in VANET Using SGSK (Self Generated Session Key) 4th

User Authentication in VANET Using SGSK (Self Generated Sess...

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4th international conference on Internet of Things and Connected Technologies (ICIoTCT)

作者： Singh, Lal Patel, Ram Bahadur Natl Inst Technol Srinagar Uttarakhand India

ISBN: (纸本)9783030398750;9783030398743

Vehicular Ad-Hoc Network (VANET) is a network of smart moving vehicles in which vehicles can communicate with each other and form a Mobile Ad-Hoc Network (MANET). This network is formed by smart vehicles, fixed Road Side Units (RSUs) and Trusted Authority (TA). This setup of the network is called a smart network because it is integrated with smart traffic management system to monitor the traffic movement in the network. In this system data exchange between the vehicles in VANET is very crucial. It means any type of security failure may affect system performance. There is a need for security in the network in such a way that unauthorized user cannot access the network. To achieve security of the communication channel is very important for isolating intruders/attackers. This paper proposes a scheme which uses the concept of Self Generated Session Key (SGSK). This scheme protects the secret key which is shared over the network channel. A comparative is also made with some existing schemes.

关键词： Authentication Password smart card UID Security analysis

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4th international conference on intelligent computing in data Sciences, ICDS 2020

4th International Conference on Intelligent Computing in Dat...

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4th international conference on intelligent computing in data Sciences, ICDS 2020

ISBN: (纸本)9781728180847

The proceedings contain 75 papers. The topics discussed include: new color and texture features coding method combined to the simulated annealing algorithm for content based image retrieval;CBPM: an approach for contextual business process modeling;deep learning using genetic algorithm optimization for short term solar irradiance forecasting;grid based approach (GBA): a new approach based on the grid-clustering algorithm to solve a CPP type problem for air surveillance using UAVs;big data processing: batch-based processing and stream-based processing;fast 3D image reconstruction by separable moments based on Hahn and Krawtchouk polynomials;dynamic vulnerability detection approaches and tools: state of the art;and deep Q-learning approach for congestion problem in smart cities.

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