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Developments and applications of Data Deidentification Technology under Big Data

Journal of Electronic science and Technology 2017年第3期15卷 231-239页

作者： Hung-Li Chen Yao-Tung Tsou Bo-Chen Tai Szu-Chuang Li Yen-Nun Huang Chia-Mu Yu Yu-Shian Chiu Department of Communications Engineering Feng Chia University Taichung 400 Research Center for Information Technology Innovation Academia Sinica Taipei 100 Department of Computer Science and Engineering National Chung Hsing University Data Analytics Technology &Applications Institute for Information Industry Taipei 100

In this age characterized by rapid growth in the volume of data,data deidentification technologies have become crucial in facilitating the analysis of sensitive *** instance,healthcare information must be processed through deidentification procedures before being passed to data analysis agencies in order to prevent any exposure of personal details that would violate *** such,privacy protection issues associated with the release of data and data mining have become a popular field of study in the domain of big *** a strict and verifiable definition of privacy,differential privacy has attracted noteworthy attention and widespread research in recent *** this study,we analyze the advantages of differential privacy protection mechanisms in comparison to traditional deidentification data protection ***,we examine and analyze the basic theories of differential privacy and relevant studies regarding data release and data mining.

关键词： Index Terms--Deidentification differential privacy.

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Metric Induced Morphological Operators on Intuitionistic Fuzzy Hypergraphs

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International Journal of Mathematics and Mathematical sciences 2018年第1期2018卷 1-11页

作者： Dhanya, P.M. Sreekumar, A. Jathavedan, M. Ramkumar, P.B. Department of Computer Applications Cochin University of Science and Technology Kochi India Department of CS RSET Kakkanad Kochi India Department of Computer Applications CUSAT Kochi India Department of Basic Sciences and Humanities Rajagiri School of Engineering and Technology Kochi India

A hypergraph consisting of hyperedges and nodes can be made intuitionistic fuzzy hypergraph (IFHG) by assigning membership and nonmembership degrees for both nodes and edges. Just as a hypergraph, an IFHG is also having hyperedges consisting of many nodes. Many flavours of a given IFHG can be created by applying morphological operators like dilation, erosion, adjunction, etc. The focus of this paper is to define morphological adjunction, opening, closing, and Alternative Sequential Filter (ASF) on IFHG. The system modeled in this way finds application in text processing, image processing, network analysis, and many other areas. © 2018 P. M. Dhanya et al.

关键词： INTUITIONISTIC mathematics FUZZY hypergraphs OPERATOR theory IMAGE processing EDGES (Geometry)

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Flexible and biocompatible high-performance solid-state micro-battery for implantable orthodontic system

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npj Flexible Electronics 2017年第1期1卷 70-77页

作者： Arwa T.Kutbee Rabab R.Bahabry Kholod O.Alamoudi Mohamed T.Ghoneim Marlon D.Cordero Amani S.Almuslem Abdurrahman Gumus Elhadj M.Diallo Joanna M.Nassar Aftab M.Hussain Niveen M.Khashab Muhammad M.Hussain Integrated Nanotechnology Lab and Integrated Disruptive Electronic Applications(IDEA)Lab Material Science and EngineeringPhysical Science and Engineering DivisionKing Abdullah University of Science and Technology(KAUST)Thuwal 23955-6900Saudi Arabia Khashab Research Group Chemical SciencePhysical Science and Engineering DivisionKing Abdullah University of Science and Technology(KAUST)Thuwal 23955-6900Saudi Arabia Integrated Nanotechnology Lab and Integrated Disruptive Electronic Applications(IDEA)Lab Electrical EngineeringComputer Electrical and Mathematical Sciences and Engineering DivisionKing Abdullah University of Science and Technology(KAUST)Thuwal 23955-6900Saudi Arabia Integrated Nanotechnology Lab and Integrated Disruptive Electronic Applications(IDEA)Lab Mechanical EngineeringPhysical Science and Engineering DivisionKing Abdullah University of Science and Technology(KAUST)Thuwal 23955-6900Saudi Arabia KAUST Nanofabrication Core Lab King Abdullah University of Science and Technology(KAUST)Thuwal 23955-6900Saudi Arabia

To augment the quality of our life,fully compliant personalized advanced health-care electronic system is *** of the major requirements to implement such systems is a physically flexible high-performance biocompatible energy storage(battery).However,the status-quo options do not match all of these attributes simultaneously and we also lack in an effective integration strategy to integrate them in complex architecture such as orthodontic domain in human *** we show,a physically complaint lithium-ion micro-battery(236μg)with an unprecedented volumetric energy(the ratio of energy to device geometrical size)of 200 mWh/cm^(3) after 120 cycles of continuous *** results of 90%viability test confirmed the battery’s *** also show seamless integration of the developed battery in an optoelectronic system embedded in a threedimensional printed smart dental *** foresee the resultant orthodontic system as a personalized advanced health-care application,which could serve in faster bone regeneration and enhanced enamel health-care protection and subsequently reducing the overall health-care cost.

关键词： battery system performance

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Graphene induced large shift of surface plasmon resonances of gold films: Effective medium theory for atomically thin materials

arXiv

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arXiv 2019年

作者： Alam, Md Kamrul Niu, Chao Wang, Yanan Wang, Wei Li, Yang Dai, Chong Tong, Tian Shan, Xiaonan Charlson, Earl Pei, Steven Kong, Xiang-Tian Hu, Yandi Belyanin, Alexey Stein, Gila Liu, Zhaoping Hu, Jonathan Wang, Zhiming Bao, Jiming Materials Science and Engineering University of Houston HoustonTX77204 United States Department of Electrical & Computer Engineering Baylor University WacoTX76798 United States Institute of Fundamental and Frontier Sciences University of Electronic Science and Technology of China Chengdu Sichuan610054 China Department of Electrical and Computer Engineering University of Houston HoustonTX77204 United States Ningbo Institute of Materials Technology & Engineering Chinese Academy of Sciences Ningbo Zhejiang315201 China Key Laboratory of Graphene Technologies and Applications of Zhejiang Province Ningbo Institute of Materials Technology and Engineering Chinese Academy of Sciences Ningbo Zhejiang315201 China Department of Civil and Environmental Engineering University of Houston Houston TX77204 United States Department of Physics & Astronomy Texas A&M University College StationTX77843 United States Chemical and Biomolecular Engineering University of Tennessee KnoxvilleTN37996 United States State Key Laboratory of Electronic Thin Films and Integrated Devices University of Electronic Science and Technology of China Chengdu Sichuan610054 China

Despite successful modeling of graphene as a 0.34-nm thick optical film synthesized by exfoliation or chemical vapor deposition (CVD), graphene induced shift of surface plasmon resonance (SPR) of gold films has remained controversial. Here we report the resolution of this controversy by developing a clean CVD graphene transfer method and extending Maxwell-Garnet effective medium theory (EMT) to 2D materials. A SPR shift of 0.24ºis obtained and it agrees well with 2D EMT in which wrinkled graphene is treated as a 3-nm graphene/air layered composite, in agreement with the average roughness measured by atomic force microscope. Because the anisotropic built-in boundary condition of 2D EMT is compatible with graphene’s optical anisotropy, graphene can be modelled as a film thicker than 0.34-nm without changing its optical property;however, its actual roughness, i.e., effective thickness will significantly alter its response to strong out-of-plane fields, leading to a larger SPR shift. Copyright © 2019, The Authors. All rights reserved.

关键词： Surface plasmon resonance

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New parameters for studying graceful properties of graphs

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Electronic Notes in Discrete Mathematics 2017年 60卷 3-10页

作者： Oshima, Akito Ichishima, Rikio Muntaner-Batle, Francesc A. Graph Theory and Applications Research Group School of Electrical Engineering and Computer Science Faculty of Engineering and Built Environment The University of Newcastle NSW 2308 Australia College of Humanities and Sciences Nihon University 3-25-40 Sakurajosui Setagaya-ku Tokyo 156-8550 Japan Graph Theory and Applications Research Group School of Electrical Engineering and Computer Science Faculty of Engineering and Built Environment The University of Newcastle NSW 2308 Australia

In this paper, we introduce two kinds of new parameters for studying graceful properties of graphs. We also establish the relation among these parameters. Moreover, we provide the relation between super edge-magic lab... 详细信息

关键词： alpha-number beta-number consecutively super edge-magic deficiency consecutively super edge-magic labeling graceful labeling super edge-magic deficiency super edge-magic labeling

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RETRACTED ARTICLE: Energy consumption analysis of Virtual Machine migration in cloud using hybrid swarm optimization (ABC–BA)

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The Journal of Supercomputing 2018年第5期76卷 3374-3390页

作者： Karthikeyan, K. Sunder, R. Shankar, K. Lakshmanaprabu, S. K. Vijayakumar, V. Elhoseny, Mohamed Manogaran, Gunasekaran Department of Computer Applications Anna University Regional Campus Madurai Madurai India Department of Computer Science and Engineering Sahrdaya College of Engineering and Technology Kodakara India School of Computing Kalasalingam Academy of Research and Education Krishnankoil India Department of Electronics and Instrumentation Engineering B. S. Abdur Rahman Crescent Institute of Science and Technology Chennai India School of Computing Science and Engineering Vellore Institute of Technology Chennai India CoVIS Lab University of North Texas Denton USA University of California Davis USA

A cloud data center consumes more energy for computation and switching servers between modes. Virtual Machine (VM) migration enhances the execution of cloud server farm in terms of energy proficiency, adaptation to internal failure, and accessibility. Cloud suppliers, be that as it may, ought to likewise enhance for amounts like energy consumption and administrations costs and in this manner, trying to have all the Virtual Machines with the least measures of physical equipment machines conceivable. The part of virtualization is critical and its execution is subjected to VM migration and machine allotment. A greater amount of the energy is caught up in the cloud; consequently, the use of various calculations is required for sparing energy and productivity upgradation in the proposed work. In the proposed work, the Naive Bayes classifier with hybrid optimization using Artificial Bee Colony–Bat Algorithm (ABC–BA) was implemented to reduce the energy consumption in VM migration. The proposed method was evaluated in CloudSim and the performances were compared using performance index such as success &failure rate, and energy consumption. It is observed from the implementation results that the proposed method reduces energy consumption compared to other existing methods. From the implementation outcomes of the proposed work, it was understood that the model was able to achieve the minimum energy consumption and failure rate i.e., 1000–1200 kWh, 0.2 with maximum success rate and accuracy of 1 and 97.77%.

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Distant supervision for relation extraction with linear attenuation simulation and non-IID relevance embedding

arXiv

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arXiv 2018年

作者： Yuan, Changsen Huang, Heyan Feng, Chong Liu, Xiao Wei, Xiaochi Department of Computer Science Beijing Institute of Technology China Beijing Engineering Research Center of High Volume Language Information Processing and Cloud Computing Applications China Baidu Inc. China

Distant supervision for relation extraction is an efficient method to reduce labor costs and has been widely used to seek novel relational facts in large corpora, which can be identified as a multi-instance multi-label problem. However, existing distant supervision methods suffer from selecting important words in the sentence and extracting valid sentences in the bag. Towards this end, we propose a novel approach to address these problems in this paper. Firstly, we propose a linear attenuation simulation to reflect the importance of words in the sentence with respect to the distances between entities and words. Secondly, we propose a non-independent and identically distributed (non-IID) relevance embedding to capture the relevance of sentences in the bag. Our method can not only capture complex information of words about hidden relations, but also express the mutual information of instances in the bag. Extensive experiments on a benchmark dataset have well-validated the effectiveness of the proposed method. Copyright © 2018, The Authors. All rights reserved.

关键词： Embeddings

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Contract-Based Content Delivery in 5G Converged Networks

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China Communications 2017年第12期14卷 120-133页

作者： Xiaoyuan Lu Yiqing Li Xiaoying Gan Yanwei Xu Jun Yao School of Computer Science Fudan University Shanghai China Dept. of Electronics Engineering Shanghai Jiao Tong University Shanghai 200240 China Engineering Research Center of Cyber Security Auditing and Monitoring Ministry of Education China Shanghai Engineering Research Center for Broadband Technologies & Applications China Philips Lighting Research China

Mobile broadcasting services provided by converged networks do aid in satisfying users' demands for popular multimedia content while unicasting services offer personalized experiences for *** analyze hybrid broadcasting unicasting framework from the perspective of network economics,where content provider(CP) figures out the cooperation of broadcasting and unicasting services providers,as long as their pricing *** this end,a contract-based content delivery scheme is *** profit of CP depends on users' preference and satisfaction for unicasting and broadcasting *** provides different users with distinctive data *** intent is to maximize its own *** classifying users into different types,the optimal contract in close form is *** results show that the proposed optimal contract is able to generate incentive for users to employ broadcasting transmission,which further benefits both the CP and users.

关键词： content delivery 5g convergednetworks

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Visualization and Classification of Diseases using Deep Learning Based Convolution Neural Network

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IOP Conference Series: Materials science and engineering 2020年第1期937卷

作者： D.A Janeera P. Amudhavalli P Sherubha S.P Sasirekha P. Anantha Christu Raj R Sitharthan Assistant Professor Sri Krishna College of Engineering and Technology Coimbatore Assistant Professor Department of Computer Applications B S AbdurRahman Crescent Institute of Science and Technology Chennai Independent Researcher Coimbatore ORCID: 0000-0002-5945-2402 Research Scholar Karpagam Academy of Higher Education Coimbatore Assistant Professor Robotics Engineering Karunya Institute of Technology and Sciences Coimbatore School of Electrical Engineering Vellore Institute of Technology Vellore

In the contemporary phase of big data, data visualization is one of the challenging segment of the discovery process. For a classifier, the primary goal is to identify the hidden levels of big data. The performance of classifiers depends on the feature space, number of classes and size of the data. To improve the reliability, efficiency and accuracy of the classifiers, new algorithms are required for analysis. This paper enables classification and visualization of information on diseases using a Deep Learning based Convolution Neural Network classifier. For feature selection and handling massive data in analysis of multivariate data is performed using particle swarm optimization (PSO) and principal component analysis (PCA) techniques. Real-world datasets are utilized for demonstration of the proposed learning algorithm. Deep learning classifiers are scientifically higher and offers better performance when compared to other classifiers according to the comparative study.

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FPGA demonstration for WLAN-OFDM baseband receiver

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Journal of Information Hiding and Multimedia Signal Processing 2018年第5期9卷 1281-1292页

作者： Wu, Chih-Feng Shiue, Muh-Tian Sung, Tien-Wen Pan, Jeng-Shyang School of Information Science and Engineering Fujian University of Technology Fuzhou350118 China Department of Electrical Engineering National Central University Taoyuan32001 Taiwan College of Computer Science and Engineering Shandong University of Science and Technology Qingdao266590 China Fujian Provincial Key Laboratory of Big Data Mining and Applications Fujian China Department of Information Management Chaoyang University of Technology Taichung41349 Taiwan

The FPGA demonstration for WLAN-OFDM baseband receiver is presented in this paper. In this OFDM baseband receiver, the CORDIC computing is employed to realize various arithmetics of baseband signal process and then to reduce the computational complexity of baseband receiver. For a large open office channel with 100 ns RMS delay spread, the measured EVMs of WLAN-OFDM baseband receiver are −13.3, −16.6, −25.4 and −31.0 dB for BPSK, QPSK, 16-QAM and 64-QAM, respectively. Finally, the physical design of WLAN-OFDM baseband receiver with 0.18 µm 1P6M CMOS technology indicates that the core area and power consumption are 1.2 mm2 (1094 µm × 1092 µm) and 33.2 mW, respectively, with supply voltage of 1.8 V and operating clock of 40 MHz. © 2018, Ubiquitous International. All rights reserved.

关键词： Signal to noise ratio

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