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3rd international conference on Space Information Networks, SINC 2018

3rd International Conference on Space Information Networks, ...

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3rd international conference on Space Information Networks, SINC 2018

ISBN: (纸本)9789811359361

The proceedings contain 23 papers. The special focus in this conference is on Space Information Networks. The topics include: The Investigation of Resource Allocation on Heterogeneous Space-Based Networks Based on SDN Framework;performance of Systematic Convolutional Low Density Generator Matrix Codes over Rayleigh Fading Channels with Impulsive Noise;coordinated Earth Observation Task Scheduling Algorithm for Multiple Controlling Platforms;Beam-Hopping Based Resource Allocation Algorithm in LEO Satellite Network;Delay-Constrained Load Balancing in the SDN;Research on Handover Strategy of Low Orbit Spacecraft Based on Multi-beam GEO Communication Satellite;resource Scheduling and Cooperative Management of Space Information Networks;research on Satellite-Ground Communication in Terahertz Massive Satellite systems.End-to-End Latency Optimization in Software Defined LEO Satellite Terrestrial systems.A Link Selection Algorithm Based on EKF and Overlapping Coalition Formation Game for Hybrid Cooperative Positioning;blockchain Based distributed Network Architecture;Robust Control of distributed SAR Beam Synchronization Based on Inverse Optimal Method;hyper-spectral Images Classification Based on 3D Convolution Neural Networks for Remote Sensing;a Multi-sensor Target Recognition Information Fusion Approach Based on Improved Evidence Reasoning Rule;Application of SVM and PSO Arithmetic in Deep Space Exploration Data Analysis;situational Awareness in Space Based Blockchain Wireless Networks;research on Internet of Things Vulnerability Based on Complex Network Attack Model;visualization Analysis About Cyber Physical systems.Research Based on CiteSpace;modeling Method of Space Information Network Architecture Based on TaaC;Overview of the international Satellite-Based COSPAS-SARSAT System;Research on SINs Topology Evolution Mechanism: Considering Local-World.

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Performance Analysis of Denial of Service DoS and distributed DoS Attack of Application and Network Layer of IoT 3

Performance Analysis of Denial of Service DoS and Distribute...

引用

3rd international conference on Inventive systems.and Control, ICISC 2019

作者： Alahari, Hanumat Prasad Yelavarthi, Suresh Babu Acharya Nagarjuna University Department of Computer Science and Engineering Guntur India J.K.C. College Department of Computer Science Guntur India

ISBN: (纸本)9781538639504

Internet of Things (IoT) is a new revolution that makes use of internet services to connect the whole world anywhere and anytime without the restriction of geographic location. It provides a platform to communicate between the objects, which are self-organize, recognize themselves using (RFID) Radio frequency identification, Zig Bee and Wireless sensor network etc. for effective communication. The unique characteristics of this technology provides dynamic nature, connectivity, enormous scale, heterogeneity, sensing energy, etc., which has the capability to enhance various innovative applications and services. However, IoT architecture provides complex environment that has various challenging issues such as connectivity, power, security etc., which need to be solved. The successful adoption of IoT largely depends upon security issue, which protects the user's personal data from the real-time threats. However, several security mechanisms are already in use in traditional network are no longer sufficient to protect the future generation IoT. This paper analysis the Denial of Service and DDoS attack of application and network layer of IoT. Moreover, this paper also analyze the performance with various metrics delay, number of packets lost, routing metrics that can degrade the performance of the IoT. © 2019 IEEE.

关键词： Internet of things

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Fault Tolerance in distributed systems. A Survey 3

Fault Tolerance in Distributed Systems: A Survey

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3rd international conference on Pattern Analysis and Intelligent systems.(PAIS)

作者： Ledmi, Abdeldjalil Bendjenna, Hakim Hemam, Sofiane Mounine Univ Larbi Tebessi Lab Math Informat & Syst LAMIS Tebessa 12002 Algeria Khenchela Univ ICOSI Laaboratory Khenchela Algeria

ISBN: (纸本)9781538642382

distributed systems.can be homogeneous (cluster), or heterogeneous such as Grid, Cloud and P2P. Several problems can occur in these types of systems. such as quality of service (QoS), resource selection, load balancing and fault tolerance. Fault tolerance is a main subject regarding the design of distributed systems. When a hardware or software failure occurs in the system, it causes a failure and we call it, in this case, a fault. Moreover, in order to allow the system to continue its functionalities, even in the presence of these faults, they must find techniques, which tolerate failure;the goal of these techniques is to detect and to correct these errors. In this paper, we introduce at first an overview of the basic concepts of distributed systems.and their failures types, then we present, in a detailed manner, the different techniques that tolerate fault, used to identify and to correct faults in different kinds of systems.such as: cluster, grid computing, Cloud and P2P systems.

关键词： Fault-Tolerance Technique distributed systems Cluster Grid Cloud P2P

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On a class of distributed Storage systems.with Prioritized Data Sources 2019

On a class of Distributed Storage Systems with Prioritized D...

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proceedings of the 2019 3rd international conference on Computer Science and Artificial Intelligence

作者： Congduan Li Sun Yat-sen University Guangdong China

ISBN: (纸本)9781450376273

The rate regions and sufficiency of simple linear codes for a class of distributed storage systems.with prioritized data sources are investigated in this paper. The exact repair problem is considered. Different from conventional setups, the scenario considered in this paper has prioritized data sources, where the hot data has higher priority than cold data in the decoding process. It is assumed that a user demanding cold data demands hot data as well. Instead of using same capacity for all storage nodes, the rate regions of interest are all feasible different storage sizes versus different tuples of source entropies, with assumption of sufficient large repair bandwidth. Both symmetric and asymmetric repairs are discussed in the paper. Linear network codes over some finite field are said to be sufficient for such a distributed storage system if and only if for every point in the rate region, there exists a code over that finite field to achieve it. As a multi-source multi-sink network coding problem, the rate regions are obtained from computer-aided approaches via bounding the region of entropic vectors. Experimental results on the rate regions of hundreds of non-isomorphic distributed storage systems.are presented for demonstration. In addition, it is shown that binary linear codes suffice for most of them.

关键词： multilevel diversity computer aided distributed storage rate region

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Research on power big data storage platform based on distributed file system 3rd

Research on power big data storage platform based on distrib...

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3rd international conference on Intelligent, Interactive systems.and Applications, IISA2018

作者： Fei, Liu Hao-Yuan, Pang Yi-Ying, Zhang Kun, Liang Ye-Shen, He Xiang-Zhen, Li Zhu, Liu College of Computer Science and Information Engineering Tianjin University of Science and Technology Tianjin300457 China China Gridcom Co. LTD. ShenzhenGuangdong China Jiaxing University JiaxingZhejiang China State Grid Information and Telecommunication Group Co. LTD. Beijing China

ISBN: (纸本)9783030028039

With the development of science and technology, the power industry has rapidly transformed into informationization, automation, and intelligent. Information flows, business flows, and power flows are intertwined. Concomitantly, the amount of data generated by each link of the power grid has grown exponentially, and the data types have also shifted from relatively simple structured data to unstructured data. A large variety of structured data, semi-structured data, and unstructured data in the power grid constitute power big data. This paper is aimed at power big data, in-depth analysis of a variety of power data characteristics, based on distributed file systems. the development of power big data storage platform. According to different data types, corresponding storage strategies are formulated, and a power large data storage platform based on distributed file systems.is developed to provide powerful technical support for the storage of power big data. © Springer Nature Switzerland AG 2019.

关键词： Big data

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Big data scalability based on Spark Machine Learning Libraries 19

Big data scalability based on Spark Machine Learning Librari...

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proceedings of the 3rd international conference on Big Data Research

作者： Anna Karen Garate-Escamilla Amir Hajjam El Hassani Emmanuel Andres Nanomedicine Lab Univ. Bourgogne Franche-Comte UTBM Rue Thierry Mieg Rue Edouard Branly Belfort Service de Médecine Interne Diabète et Maladies métaboliques de la Clinique Médicale B CHRU de Strasbourg Molière Strasbourg

ISBN: (纸本)9781450372015

The paper introduces the challenge of scalability in machine learning algorithms suitable for massive datasets. Today, big data has relevant applications in the industry due to improvements in the system performance and by turning information into knowledge. Big data challenges include the lack of strategies to process computational cost and the large amount of data when computing machine learning predictions. To overcome these scalability issues, it is convenient to work with distributed and parallelized architecture across multiple nodes. The approach is based on Apache Spark, an in-memory distributed application that offers extensive machine learning libraries. The main contribution of the study is to measure the scalability by calculating the execution time that a classifier achieves with larger workloads. We validate our classifier models with experiments on logistic regression and random forest by studying their adaptability to the Apache Spark framework. The present work expects to combine the areas of big data and machine learning on scalability, and the use of optimization methods, cache and persist. In addition, a comparison between the classifiers is provided. The evaluation experiments show that logistic regression performed the shortest execution time and best scalability.

关键词： scalability Machine Learning distributed systems Execution time prediction Apache Spark

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An Improved Version of Water-Filling Algorithm for Underground Tunnel systems. A Comprehensive Literature Review 3

An Improved Version of Water-Filling Algorithm for Undergrou...

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3rd international conference on Inventive Computation Technologies (ICICT)

作者： Rana, Md Masud Hasan, Md Sohel Khulna Univ Engn & Technol Dept Elect & Commun Engn Khulna Bangladesh

ISBN: (数字)9781538649855

ISBN: (纸本)9781538649855

This paper provides a comprehensive literature review for water-filling algorithms and underground tunnel systems. Afterwards, an improved version of water-filling algorithm is proposed for distributed multi input multi output systems.in underground tunnels. The proposed algorithm is based on the conventional water-filling and Nash equilibrium approaches. It is believed that the designed scheme can enhance both the channel capacity and system performance for distributed multi input multi output in underground tunnel systems.

关键词： distributed multi input multi output systems improved water-filling algorithm Nash equilibrium underground tunnels

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Fuzzy TOPSIS approach based on axiomatic fuzzy set for assessing thermal-energy storage in concentrated solar power (CSP) systems. CPS systems.assessment 3

Fuzzy TOPSIS approach based on axiomatic fuzzy set for asses...

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3rd Annual international conference on Network and Information systems.for Computers, ICNISC 2017

作者： Tao, Li-Li Dong, Yun-Ying Qi, Li-Yan Lv, Si-Yang College of Science Dalian Ocean University Dalian China Dalian Shiningway International Trade Co. Ltd Dalian China

ISBN: (纸本)9781538616185

In classical TOPSIS method, the criteria values and criteria weights are known precisely. However, the values of some criteria are often vague in real-life situation, and it expressed only by exact numerical values is inadequate, the application of linguistic variables or fuzzy terms in decision making is deemed to be relevant. Therefore, the aim of this paper is to develop a fuzzy TOPSIS method to deal with above multiple criteria decision making(MCDM) problems. Here, the linguistic variables are represented by membership degrees applying the axiomatic fuzzy set (AFS) theory, then the application of TOPSIS approach is extended. In addition, the semantic interpretations are provided for the decision results by AFS theory. The proposed method is used to assess thermal-energy storage in concentrated solar power (CSP) systems. © 2019 IEEE.

关键词： Thermal energy

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A distributed computing platform for conventional hybrid simulation 7

A distributed computing platform for conventional hybrid sim...

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7th international conference on Computational Methods in Structural Dynamics and Earthquake Engineering, COMPDYN 2019

作者： Wang, Kung-Juin Chuang, Ming-Chieh Li, Chao-Hsien Tsai, Keh-Chyuan National Center for Research on Earthquake Engineering No. 200 Sec. 3 Xinhan Rd. Taipei Taiwan Department of Structural Engineering University of California San Diego SME bldg 341 Matthews Lane San DiegoCA92161 United States Department of Civil Engineering National Taiwan University No. 1 Sec. 4 Roosevelt Rd. Taipei10617 Taiwan

ISBN: (纸本)9786188284463

This paper describes the development of a distributed computing platform that supports general-purpose quasi-static structural testing, including conventional hybrid simulation. It depicts the design of this platform, including the assignment of the responsibilities of the participating software components, the communication protocols by which the software components communicate across the networks. In this study, the finite element analysis program "Platform of Inelastic Structural Analysis for 3D systems. (PISA3D) was chosen as the analysis kernel. The required programming augmentation of PISA3D to support geographically distributed hybrid simulation in a general-purpose manner is given. Using the proposed platform, a series of conventional hybrid tests was conducted on a specimen of steel panel damper (SPD) by employing a multi-axial testing system. The prototype building is a three-dimensional six-story moment resisting frame with four SPDs incorporated in each story as the main seismic resisting system. During the tests an online model updating (OMU) technique was employed to dynamically update the material properties of other relevant numerical SPD elements to enhance the fidelity of the structural model. Test results proved the validity and the high flexibility of the proposed platform. Copyright © 2019 COMPDYN proceedings. All rights reserved.

关键词： Simulation platform

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3rd EAI international conference on Advanced Hybrid Information Processing, ADHIP 2019

3rd EAI International Conference on Advanced Hybrid Informat...

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3rd EAI international conference on Advanced Hybrid Information Processing, ADHIP 2019

ISBN: (纸本)9783030364014

The proceedings contain 101 papers. The special focus in this conference is on Advanced Hybrid Information Processing. The topics include: Multi-source Heterogeneous Data Acquisition Algorithm Design Different Time Periods;research on Data Security Acquisition System Based on Artificial Intelligence;weak Coverage Area Detection Algorithms for Intelligent Networks Based on Large Data;Research on RF Fingerprinting Extraction of Power Amplifier Based on Multi-domain RF-DNA Fingerprint;fault Feature Analysis of Power Network Based on Big Data;design of All-Pass Filter System for Power Communication with High Anti-harmonic Interference;improved Design of Classification Algorithm in Cloud computing and Big Data Environment;research on Dynamic Access Control Model of distributed Network Under Big Data Technology;intelligent Data Acquisition Method for Cross-border E-commerce Guidance and Purchase Considering User Demand;Research on Communication Individual Identification Method Based on PCA-NCA and CV-SVM;Optimization Design of Cross-Border E-commerce Shopping Guide System Combining Big Data and AI Technology;research on Balanced Scheduling Algorithm of Big Data in Network Under Cloud computing;optimization of Rational Scheduling Method for Cloud computing Resources Under Abnormal Network;design of Agricultural Product Quality and Safety Big Data Fusion Model Based on Blockchain Technology;artificial Intelligence Integration Method for Agricultural Product Supply Chain Quality Data Based on Block Chain;research on Adaptive Scheduling Method of Communication Resource Information in Internet of Things Environment;research on Dynamic Network Load Evaluation Algorithm Based on Throughput Monitoring;research on the Classification Method of Network Abnormal Data;optimized PointNet for 3D Object Classification;deep Learning Based Adversarial Images Detection.

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