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检索条件"任意字段=3rd International Conference on Soft Computing in Data Science, SCDS 2017"

共 694 条记录，以下是541-550 订阅

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Analysis Cryptographic for Electronic Votes in Systems of Distributed Architectures

Analysis Cryptographic for Electronic Votes in Systems of Di...

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2018 3rd international conference on Computer science and Information Engineering(ICCSIE 2018)

作者： Segundo Moisés Toapanta Toapanta Nathaly Vanessa Orellana Vélez Danny Wilfrido Barona Valencia Luis Enrique Mafla Gallegos Computer Science Department Universidad Politécnica Salesiana Ecuador Faculty of Engineering Systems Escuela Politécnica Nacional

It was considered that electronic voting is revolutionary around the world because of the new technological trends that are improving over time with their security and privacy in the different voting platforms;this problem is notable in all underdeveloped *** objective is to analyze and determine a cryptographic system to improve the security with efficiency and effectiveness in the electoral processes at the moment of paying and having a vote count,maintaining the transparency and integrity of the *** deductive method was used to analyze the different cryptographic algorithms used in electronic votes that provide greater knowledge in the new trends of electronic *** was determined the operation of the Smartmatic that allows to identify the methods when making the electronic votes around the world,each of these systems implements an exclusive security for their voting systems,so that the voter carries out the action of paying and this vote is keep intact and transparent for the system and for the general public,achieving high reliability and integrity of the data,in addition a change in society will be noted,promoting democracy and *** was concluded that electronic votes show a high level of trust,although this depends on the age and education of the voter who must have some knowledge in the field of computer science,this refers to the elderly who sometimes do not have the comfort and adequate confidence in many *** system can be an alternative to implement electronic voting in Ecuador to improve democracy.

关键词： electronic voting security voting platform cryptography Smartmatic privacy ballots

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Physical-layer security for DF two-way full-duplex cooperative wireless networks over rayleigh fading channels 17th

Physical-layer security for DF two-way full-duplex cooperati...

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17th international conference on Next Generation Teletraffic and Wired/Wireless Advanced Networks and Systems, NEW2AN 2017, 10th conference on Internet of Things and Smart Spaces, ruSMART 2017 and 3rd international Workshop on Nano-scale computing and Communications, NsCC 2017

作者： Tanash, Islam M. Magableh, Amer M. Al-Mistarihi, Mamoun F. Electrical Engineering Department Jordan University of Science and Technology Irbid Jordan

ISBN: (纸本)9783319673790

Cooperative communication is a new method that uses multi-hop communication to send the information from source to sink. The broadcast nature of wireless signals causes the communication process to be vulnerable to wireless attacks such as eavesdropping attacks, in which a non-legitimate user tries to overhear the exchanged data between legitimate users. Physical layer security can be achieved by using jamming signals. This paper discusses and analyzes the proposed system model for a decode-and-forward two-way scheme under physical layer security where full-duplex mode and Rayleigh fading channels are employed. The secrecy outage probability in case of single relay is derived in order to evaluate the secrecy performance of the proposed system in which the transmission process takes two time slots. Theoretical results are given for the derived expression and a simple comparison with half-duplex system model is made. © 2017, Springer international Publishing AG.

关键词： Cooperative communication

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Masking Signature data Errors of software-Based Control Flow Checking Techniques Employing Redundancy Signature 3rd

Masking Signature Data Errors of Software-Based Control Flow...

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3rd international conference on Cloud computing and Security (ICCCS)

作者： Liu, Liping Ci, Linlin Liu, Wei Beijing Inst Technol Dept Comp Beijing Peoples R China

ISBN: (纸本)9783319685427;9783319685410

With technology scaling, transient faults are becoming an increasing threat to hardware reliability. Commodity systems must be made resilient to these in-field faults through very low-cost resiliency solutions. Up to 77% of the transient faults cause Control Flow Errors (CFEs). software-based control-flow checking techniques have emerged as promising low-cost and effective solutions. The signature monitoring method is the foundation of most of these control flow checking techniques. Some CFEs cannot be detected by previous control flow checking techniques when transient fault hit the software signature. A technique, masking signature data errors of software-based control flow checking techniques employing redundancy signature (CFCRS), with the ability to mask these CFEs is proposed in this paper. In CFCRS, these errors can be detected and corrected by triple redundancy signature. The experimental results demonstrated that CFCRS is able to mask all 2,000 injected faults in software signatures;It is reasonable and feasible to apply this technique on the former software-based control flow checking techniques due to its perfect correction coverage of CFEs caused by incorrect-signature and low overheads.

关键词： Dynamic measurement Control-flow errors Error detection Signature data error Coded signature

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Evaluation of full-text retrieval system using collection of Serially Evolved Documents 17

Evaluation of full-text retrieval system using collection of...

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3rd international conference on Industrial and Business Engineering, ICIBE 2017

作者： Cho, Hwan-Gue Kim, Yeoneo Tak, Hae-Sung Shin, Young-Ju Choi, Kwang-Nam Kim, Han-Ho Lim, Chulsu Dep. of Computer Sci. and Eng. PUSAN National Univ. Korea Republic of Programming Language Laboratory PUSAN National Univ. Korea Republic of Korea Institute of Science and Technology Information Korea Republic of

ISBN: (纸本)9781450353519

Finding a document that is similar to a specified query document within a large document database is one of important issues in the Big data era, as most data available is in the form of unstructured texts. Our testing collection consists of two parts: In the first part texts were produced by human work by artificial plagiarism approach through the linear pipelined procedure. In the second part, texts are generated by software that inserts, deletes, and substitutes certain parts of the target documents to make a similar document from an input document. These document set is known as the Serially Evolved Documents (SED). We propose new methods: Order Preserving Precision (OPP) and Order Preserving Recall (OPR), to compute how the evolutionary order is kept among output documents obtained from the subject IR system. Using those testing texts we evaluated KONAN, a document retrieval system for Korean documents. © 2017 Association for computing Machinery.

关键词： Information retrieval

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Technical research on the electric power big data platform of smart grid 3

Technical research on the electric power big data platform o...

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3rd international conference on Mechanical, Electronic and Information Technology Engineering, ICMITE 2017

作者： Ruiguang, M.A. Haiyan, Wang Quanming, Zhang Yuan, Liang State Grid Sichuan Economic Research Institute SGSERI Chengdu China College of Management Science Chengdu University of Technology Chengdu China

Through elaborating on the associated relationship among electric power big data, cloud computing and smart grid, this paper put forward general framework of electric power big data platform based on the smart grid. The general framework of the platform is divided into five layers, namely data source layer, data integration and storage layer, data processing and scheduling layer, data analysis layer and application layer. This paper makes in-depth exploration and studies the integrated management technology based on big data, the index technology based on electric power big data, the analysis technology based on electric power big data and the excavation technology based on electric power big data, to achieve the breakthrough of key technologies of electric power big data. Finally, the typical case of big data applications shows that the key technology application of electric power big data platform will bring changes for the power enterprises, which has demonstration meaning and important reference meaning. © The Authors, published by EDP sciences, 2017.

关键词： Big data

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Unsupervised Energy Disaggregation of Home Appliances 3rd

Unsupervised Energy Disaggregation of Home Appliances

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3rd international conference on Cloud computing and Security (ICCCS)

作者： Kamoto, Kondwani M. Liu, Qi Liu, Xiaodong Nanjing Univ Informat Sci & Technol Jiangsu Collaborat Innovat Ctr Atmospher Environm Nanjing Jiangsu Peoples R China Nanjing Univ Informat Sci & Technol Sch Comp & Software Jiangsu Engn Ctr Network Monitoring Nanjing Jiangsu Peoples R China Edinburgh Napier Univ Sch Comp 10 Colinton Rd Edinburgh EH10 5DT Midlothian Scotland

ISBN: (纸本)9783319685052;9783319685045

Energy management is a growing concern especially with the increasing growth of smart appliances within the home. Energy disaggregation is an ongoing challenge to discover the appliance usage by examining the energy output of a household or building. Unsupervised NILM presents the additional challenge of energy disaggregation without any reliance on training data. A key issue to address in Unsupervised NILM is the discovery of appliances without a priori information. In this paper we present a new approach based on Competitive Agglomeration (CA) which incorporates the good qualities of both hierarchical and partitional clustering. Our proposed energy disaggregation algorithm makes use of CA in order to discover appliances without prior information about the number of appliances. Validation with experimental data from the Reference Energy Disaggregation dataset (REDD), and comparison with recent state of the art Unsupervised NILM indicates that our proposed algorithm is effective.

关键词： Home energy management Unsupervised energy disaggregation Unsupervised non-intrusive load monitoring

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Simulated annealing and natural neighbor for rational Bézier surface reconstruction from scattered data points 3rd

Simulated annealing and natural neighbor for rational Bézie...

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Proceedings of the 3rd international conference on Harmony Search Algorithm, ICHSA 2017

作者： Loucera, Carlos Iglesias, Andrés Gálvez, Akemi University of Cantabria Avda. de los Castros s/n Santander39005 Spain Department of Information Science Faculty of Sciences Toho University 2-2-1 Miyama Funabashi274-8510 Japan Department of Applied Mathematics and Computer Science University of Cantabria Avda. de los Castros s/n Santander39005 Spain

ISBN: (纸本)9789811037276

Surface reconstruction is a very important problem in fields such as geometric modeling and processing, and CAD/CAM. Most of the methods proposed to solve this problem rely on parametric polynomial schemes. However, there are shapes that cannot be described by using a strictly polynomial approach. In this paper we introduce a new method to address the surface reconstruction problem from scattered data points through rational Bézier surfaces. Our approach is based on the combination of simulated annealing, the natural neighbor interpolation method, and least-squares minimization to perform data parameterization, data fitting, and weight computation. Some computer experiments carried out for both organized and unorganized data sets show the good performance of our approach. © Springer Nature Singapore Pte Ltd. 2017.

关键词： Simulated annealing

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The current state and effects of agromatic: a systematic literature review 3rd

The current state and effects of agromatic: a systematic lit...

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3rd international conference on Technologies and Innovation, CITI 2017

作者： Bazán-Vera, William Bermeo-Almeida, Oscar Samaniego-Cobo, Teresa Alarcon-Salvatierra, Abel Rodríguez-Méndez, Ana Bazán-Vera, Valeria Computer Science Department Faculty of Agricultural Sciences Agrarian University of Ecuador Av. 25 de Julio y Pio Jaramillo P.O. BOX 09-04-100 Guayaquil Ecuador

ISBN: (纸本)9783319672823

IT (Information Technology) has been used to solve problems from different domains. In the context of agriculture, IT is being applied for increasing the productivity as well as for empowering farmers to make decisions. Some of the technologies used in agriculture are the Decision Support Systems, Semantic Web, Cloud computing, Internet of Things and Big data. There are a lot of agriculture processes where IT solutions can be implemented. In this sense, it is important to provide a general perspective on the role of IT in agriculture, emphasizing its effects on agriculture. This work presents a systematic literature review that aims to obtain a solid background in the use of IT in agriculture. The results obtained depicts the need of integrating IT solutions to agriculture as well as the need for allowing farmers and experts work in cooperation to generate systems that combine different technologies for providing low-cost solutions. © Springer international Publishing AG 2017.

关键词： Agriculture

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A deep learning based artificial neural network approach for intrusion detection 3rd

A deep learning based artificial neural network approach for...

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3rd international conference on Mathematics and computing, ICMC 2017

作者： Roy, Sanjiban Sekhar Mallik, Abhinav Gulati, Rishab Obaidat, Mohammad S. Krishna, P.V. School of Computer Science and Engineering VIT University Vellore India Fordham University New York United States University of Jordan Amman Jordan Department of Computer Science Sri Padmavati Mahila Visvavidyalayam Tirupati India

ISBN: (纸本)9789811046414

Security of data is considered to be one of the most important concerns in today’s world. data is vulnerable to various types of intrusion attacks that may reduce the utility of any network or systems. Constantly changing and the complicated nature of intrusion activities on computer networks cannot be dealt with IDSs that are currently operational. Identifying and preventing such attacks is one of the most challenging tasks. Deep Learning is one of the most effective machine learning techniques which is getting popular recently. This paper checks the potential capability of Deep Neural Network as a classifier for the different types of intrusion attacks. A comparative study has also been carried out with Support Vector Machine (SVM). The experimental results show that the accuracy of intrusion detection using Deep Neural Network is satisfactory. © Springer Nature Singapore Pte Ltd. 2017.

关键词： Support vector machines

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Message from Program Co-Chairs

Proceedings - 2017 3rd International Conference on Big Data ...

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Proceedings - 2017 3rd international conference on Big data computing and Communications, BigCom 2017 2017年 xii页

作者： Chen, Lei Tang, Shaojie Zhou, Shijie Hong Kong University of Science and Technology Hong Kong University of Texas at Dallas United States University of Electronic Science and Technology of China China

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