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Analysis of the features of the optimal logical structure of distributed databases 8

Analysis of the features of the optimal logical structure of...

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Selected Papers of the 8th international conference "distributed computing and Grid-Technologies in Science and Education", GRID 2018

作者： Nurmatova, E.V. Gusev, V.V. Kotliar, V.V. MIREA - Russian Technological University Moscow Russia NRC Kurchatov Institute - IHEP Russia

the questions of constructing optimal logical structure of a distributed database (DDB) are considered. Solving these issues will make it possible to increase the speed of processing requests in DDB in comparison with a traditional database. Optimal logical structure of DDB will ensure the efficiency of the information system on computational resources. the problem of constructing an optimal logical structure of DDB is reduced to the problem of quadratic integer programming. As a result of its solution, the local network of the DDB is decomposed into a number of clusters that have minimal information connectivity with each other. In particular, such tasks arise for the organization of systems for processing huge amounts of information from the Large Hadron Collider. In these systems various DDBs are used to store information about: 1) the system of triggers of data collection from physical experimental installations (ATLAS, CMS, LHCb, Alice), 2) the geometry and the operating conditions of the detector while collecting experimental data. © 2018 Elena V. Nurmatova, Victor V. Gusev, Victor V. Kotliar.

关键词： Integer programming

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Impact of disruptive technology on juvenile disruptive behavior in classroom 2nd

Impact of disruptive technology on juvenile disruptive behav...

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2nd international conference on Advances in computing and Data Sciences, ICACDS 2018

作者： Ramesh, Vani Bangalore India

ISBN: (纸本)9789811318122

Bestowing to Christensen [1] (https://***/main/***?s=Clayton+M.+Christensen&item_type ), Disruptive Technology (DT) as an evolving technology which relocates the existing technology. Mobile computing, smart phones, cloud computing, social networking are some of the disruptive technologies that displaces conventional technologies. In near future the technology might transform the life style and there are 12 Disruptive Technologies (DT’s) that are identified [2] (https://***/mgi/overview ). Disruptive behaviour among juvenile in India, particularly in Bangalore (Karnataka) has become a great encounter for both parents and teachers. this study, first and foremost in this field of DT and intends to explore critically the influence of disruptive technology and disruptive behaviour among the school children. With the help of independent variables, such as demographic. Sociocultural, economic, political, environmental, infrastructural, and in addition the disruptive technological factors that are influencing the disruptive behaviour among school children are tested. the big five dimensions of personality, often referred to as "Big 5" personality traits J.M. Digman [3] (extraversion, agreeableness, openness, conscientiousness, and neuroticism) adopted to test the personality of the child. Primary data are to be used through a rigorous drop-off survey. the confirmatory factor analysis (CFA) approach is exploited to generate the results with the help of software IBM SPSS AMOS (Analysis of Moment Structures). Structural Equation Modelling (SEM) has been deployed to evaluate the original and modification indices of the model, which further establishes the improvement in SEM’s effectiveness. the model establishes the significant impact of Disruptive Technology on class room behaviour. the targeted sample is 2000, includes high school children from 8th to 10th standard (both private and public), family members and teachers, and the response was 1679

关键词： Mobile computing

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8th international conference on Model and Data Engineering, MEDI 2018

8th International Conference on Model and Data Engineering, ...

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8th international conference on Model and Data Engineering, MEDI 2018

ISBN: (纸本)9783030008550

the proceedings contain 28 papers. the special focus in this conference is on Model and Data Engineering. the topics include: Modeling and evaluating cross-layer elasticity strategies in cloud systems;thing federation as a service: Foundations and demonstration;formalizing reusable communication models for distributed systems architecture;A valid BPMN extension for supporting security requirements based on cyber security ontology;a correct-by-construction model for attribute-based access control;voronoi-diagram based partitioning for distance join query processing in spatialhadoop;graph pattern matching preserving label-repetition constraints;standard and dialectal arabic text classification for sentiment analysis;a graph-based model for tag recommendations in clinical decision support system;NoSQL databases – seek for a design methodology;Spatial batch-queries processing using xBR+-trees in Solid-State Drives;Formalizing railway signaling system ERTMS/ETCS using UML/Event-B;A dynamic analysis for reverse engineering of sequence diagram using CPN;A formalized procedure for database horizontal fragmentation in isabelle/HOL proof assistant;domain-oriented verification management;a formal model for interaction specification and analysis in IoT applications;mechanizing the denotational semantics of the clock constraint specification language;ensuring the functional correctness of iot through formal modeling and verification;extensions to hybrid event-B to support concurrency in cyber-physical systems;Mortadelo: A model-driven framework for NoSQL database design;Towards onto UML for software engineering: Experimental evaluation of exclusivity constraints in relational databases;scrum and V lifecycle combined with model-based testing and model driven architecture to deal with evolutionary system issues;Adaptive algorithms for computing ontologies metrics through processing of RDF graphs.

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Software-defined Network Based Resource Allocation in distributed Servers for Unmanned Aerial Vehicles 8

Software-defined Network Based Resource Allocation in Distri...

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8th IEEE Annual computing and Communication Workshop and conference (CCWC)

作者： Shukla, Raj Mani Sengupta, Shamik Patra, Amar Nath Univ Nevada Dept Comp Sci & Engn Reno NV 89557 USA

ISBN: (纸本)9781538646496

Unmanned Aerial Vehicles (UAVs) are gaining a lot of popularity among research communities as well as various service providers. the UAVs deployed in mission-critical applications need to perform tasks with very less delay. they also need to conserve their on-board battery power so that their flight time can be increased. To accomplish both of these purposes UAVs may offload their computation and energy intensive jobs to some remote place like cloud servers, edge servers or another UAV node having abundant computing and energy resources. this paper proposes a Software Defined networking (SDN) architecture to provision hybrid computing resources in an efficient manner. the proposed SDN architecture uses a greedy algorithm to satisfy Quality of Service (QoS) requirements of UAV's applications. the proposed method further leverages a simulated annealing based approach to minimize average latency of the applications and average energy consumption of UAV nodes. Simulation results illustrate a substantial improvement in average latency and energy consumption using proposed mechanism in contrast to processing applications on UAV node itself or offloading it only to the cloud.

关键词： Unmanned aerial vehicles Software defined network computation offloading cloud computing Edge computing

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A Review on Node Replication Attack Identification Schemes in WSN 8

A Review on Node Replication Attack Identification Schemes i...

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8th international conference on computing, Communication and networking Technologies (ICCCNT)

作者： Kaur, Harpreet Saxena, Sharad Thapar Univ Comp Sci & Engn Patiala Punjab India Thapar Univ CSED Patiala Punjab India

ISBN: (纸本)9781509030385

Wireless Sensor Networks (WSNs) are collection of large number of sensor nodes that are used for essential monitoring purposes. they include many applications such as military and security applications, elementary monitoring, seismic monitoring, industrialized automation, wellness and robust monitoring etc. Due to its distributed nature and interconnected network approach, they are considered common target among attackers. WSNs are unprotected due to many attacks like illegal access, malicious node attack, wormhole attack, jamming attack, insider attack, cloning attack, routing attack and node capturing attack etc. Node capturing attack leads to node replication attack which is considered dangerous because after capturing node, attacker may extract all the encrypted information and further introduce many insider attacks. In node replication attack, attacker tries to capture the sensor node and if he becomes successful then he generates the replica which appears to be genuine. this paper reviews the various types of identification schemes and protocols contrary to replication attack.

关键词： Node Replication attack Detection Security Centralized distributed Hybrid Detection Schemes

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distributed GLR-parser for natural languag processing 8

Distributed GLR-parser for natural languag processing

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Selected Papers of the 8th international conference "distributed computing and Grid-Technologies in Science and Education", GRID 2018

作者： Radishevskii, V.L. Kulnevich, A.D. Chugunov, R.A. Shevchuk, A.A. National Research Tomsk Polytechnic University 30 Lenina Avenue Tomsk634050 Russia National Research Tomsk State University 36 Lenina Avenue Tomsk634050 Russia

Natural Language Processing is a branch of Data Science that deals with research and business tasks of text analysis, such as classification, information extraction, etc. Usually, for the purpose of information extraction (Named Entity Recognition, Fact extraction, Key-value extraction) parsers of context-free grammars are employed. So far, most of the parsers are based on GLR algorithm, which allows handling nondeterministic and ambiguous grammars, unlike standard LR. the amount of text in the world is constantly growing along with the grammars, which describe its syntactic structure. For this reason, on the one hand it is important to optimize current solutions and algorithms, on the other hand - to make them scalable in order to perform calculations in clusters. In this article we are proposing a modified version of the algorithm which carries out distributed computation of big amount of text data. Additionally, we are describing our implementation of the solution and evaluation of timing. © 2018 Vladislav L. Radishevskii, Aleksey D. Kulnevich, Roman A. Chugunov, Anton A. Shevchuk.

关键词： Context free grammars

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Time series and data analysis based on hybrid models of deep neural networks and Neuro-Fuzzy networks 8

Time series and data analysis based on hybrid models of deep...

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Selected Papers of the 8th international conference "distributed computing and Grid-Technologies in Science and Education", GRID 2018

作者： Averkin, A.N. Yarushev, S.A. Laboratory Dorodnicyn Computing Centre Federal Research Center Computer Science and Control of Russian Academy of Sciences Research Vavilov St. 40 Moscow119333 Russia Department of Informatics Plekhanov Russian University of Economics Stremyanny Lane 36 Moscow117997 Russia

Deep Learning has proven to be an effective method for making highly accurate predictions from complex data sources. In this paper we consider approach to data analysis and time series forecasting based on hybrid models. these models contain a Deep NN models and Neuro-Fuzzy networks. We are show an overview of new approaches for data science field - time series and data analysis. Also, we propose our models of DL and Neuro-Fuzzy Networks for this task. Finally, we show possibility of using these models for data science tasks. this paper presents also an overview of approaches for incorporating rule-based methodology into deep learning neural networks. © 2018 Alexey N. Averkin, Sergey A. Yarushev.

关键词： Forecasting

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A distributed ALGORIthM FOR OBJECT TRACKING IN WIRELESS SENSOR NETWORKS USING DATA MINING BASED PREDICITION 8

A DISTRIBUTED ALGORITHM FOR OBJECT TRACKING IN WIRELESS SENS...

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8th international conference on computing, Communication and networking Technologies (ICCCNT)

作者： Ansari, Nishat A. Deshpande, Umesh A. Tapas, Amit M. Jejani, Anushka A. Shri Ramdeobaba Coll Engn & Management Nagpur Maharashtra India Visvesvaraya Natl Inst Technol Nagpur Maharashtra India

ISBN: (纸本)9781509030385

Object tracking is an important application of Wireless Sensor Networks (WSNs). One of the main challenges for designing an object tracking technique is energy conservation. Prediction based strategies are used to save energy. We consider an application where a WSN is installed in a forest for tracking the movement of animals (objects). Since, animals move in certain paths rather moving entirely randomly, we attempt to use this property. the movement patterns of the objects are extracted using a data mining technique. this information is used to predict the object movement with the aim to reduce the energy consumption in tracking. In situations where the prediction is erroneous, we propose a systematic recovery mechanism. the recovery mechanism has three levels. the number of additional nodes woken up progressively increases with the increase in the recovery level. If an object has been detected at a lower level, normal operations are resumed. It is observed that there are significant energy savings due to this systematic recovery mechanism. the proposed technique, called DESPOT, is fully distributed and energy efficient. We have carried out extensive simulation of DESPOT and have compared its performance with an existing technique, called PTSP. Simulation results show that DESPOT conserves significant energy and it has a better tracking efficiency than PTSP.

关键词： tracking prediciton data mining distributed wireless sensor networks

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Anomalous Behavior Detection in Social networking 8

Anomalous Behavior Detection in Social Networking

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8th international conference on computing, Communication and networking Technologies (ICCCNT)

作者： Chauhan, Vishal Pilaniya, Ajay Middha, Vishesh Gupta, Arjit Bana, Ujjain Prasad, Bakshi Rohit Agarwal, Sonali Indian Inst Informat Technol Allahabad Allahabad Uttar Pradesh India

ISBN: (纸本)9781509030385

Over the years, use of Online Social Networks (OSNs) has exploded and thus, causing a need of studying and understanding users' behavior online. the excessive use of online social networking causes a great increase in anomalies. Anomalies in OSNs can signify irregular and often illegal behavior. Detection of such anomalies has been used to identify malicious individuals, including spammers, sexual predators and online fraudsters. For detecting the anomalies dataset of Twitter network is used and analyzed for user behavior via analyzing their tweets to find whether it is an anomalous or not.

关键词： Social netwroks OSN anomaly detection user behaviour Twitter

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distributed virtual cluster management system 8

Distributed virtual cluster management system

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Selected Papers of the 8th international conference "distributed computing and Grid-Technologies in Science and Education", GRID 2018

作者： Korkhov, V.V. Kobyshev, S.S. Degtyarev, A.B. Cubahiro, A. Gaspary, L. Wang, X. Wu, Z. Saint Petersburg State University 7/9 Universitetskaya Nab. St. Petersburg199034 Russia Saint-Petersburg Electrotechnical University LETI 5 Prof. Popova St. Petersburg197376 Russia Universidade Federaldo Rio Grande do Sul Campus do Vale-Bloco IV Av. Bento Goncoives 9500 Caixa Postal 15064 Porto Alegre91501-970 Brazil Beijing Normal University 19 Xinjiekouwai St. BeiTaiPingZhuang Haidian Qu Beijing Shi100875 China

An effective cluster management system is the key to solving many problems that arise in the field of distributed computing. One of the major problems is to map applications and available computing resources in such a way that optimal application performance is achieved and resources are used efficiently. the traditional way is to tune applications to the resources which is not always easy or effective. We consider the opposite way that implies configuring resources to the application needs. this leads to the necessity of abstracting resources which can be done with virtualization technologies. In this paper we consider the execution of distributed applications in virtual clusters that are configured specifically to match application requirements to resources. In particular, we investigate performance of NAS Parallel Benchmarks and Hadoop benchmarking suites in different resource sharing scenarios. © 2018 Vladimir V. Korkhov, Sergey S. Kobyshev, Alexander B. Degtyarev, Amissi Cubahiro, Luciano Gaspary, Xingce Wang, Zhongke Wu.

关键词： Virtualization

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