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000838581 019__ $$a1034547586$$a1038410117
000838581 020__ $$a9789811078712$$q(electronic book)
000838581 020__ $$a9811078718$$q(electronic book)
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000838581 0247_ $$a10.1007/978-981-10-7871-2$$2doi
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000838581 1112_ $$aInternational Conference on Computing, Analytics and Networking$$d(2017 :$$cBhubaneswar, India)
000838581 24510 $$aProgress in computing, analytics and networking :$$bproceedings of ICCAN 2017 /$$cPrasant Kumar Pattnaik, Siddharth Swarup Rautaray, Himansu Das, Janmenjoy Nayak, editors.
000838581 2463_ $$aICCAN 2017
000838581 264_1 $$aSingapore :$$bSpringer,$$c2018.
000838581 300__ $$a1 online resource.
000838581 336__ $$atext$$btxt$$2rdacontent
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000838581 4901_ $$aAdvances in intelligent systems and computing,$$x2194-5357 ;$$vvolume 710
000838581 500__ $$aInternational conference proceedings.
000838581 500__ $$aIncludes author index.
000838581 5050_ $$aIntro; Preface; Organizing Committee; Advisory Committee; Program Committee; Contents; About the Editors; Location-Independent Key Distribution for Sensor Network Using Regular Graph; 1 Introduction; 1.1 Organization of the Paper; 2 Properties of Regular Graph; 3 Conversion of Graph to KPS Idea; 4 Simulation and Experimental Results; 5 Conclusion; References; A Trust-Based Technique for Secure Spectrum Access in Cognitive Radio Networks; 1 Introduction; 2 Related Work; 3 System Model; 4 Motivation and Contribution; 5 Proposed Approach; 5.1 Trust Calculation; 5.2 Spectrum Allocation
000838581 5058_ $$a6 Experimental Results and Observations7 Conclusions; References; Flow Aggregator Module for Analysing Network Traffic; 1 Introduction; 2 Background and Related Work; 3 Flow Aggregator Module; 3.1 Simple Random Sampling (SRS) Technique; 3.2 Association Rule Mining (ARM) Technique; 4 Experimental Results and Discussion; 5 Conclusion; References; Chaos-based Modified Morphological Genetic Algorithm for Software Development Cost Estimation; 1 Introduction; 2 Dilation-Erosion Perceptron; 3 Proposed CMGA Algorithm for Estimating Cost of Traditional Software Development
000838581 5058_ $$a3.1 Population Initialization Using Chaotic Opposition-based Learning Method3.2 Proposed Evolutionary Learning Algorithm; 4 Performance Measures; 5 Simulations and Conclusive Studies; 6 Conclusion; References; An Efficient Block Phase Correlation Approach for CMFD System; 1 Introduction; 2 Proposed Methodology; 2.1 RGB to Grayscale Conversion; 2.2 Overlapping Blocks Division; 2.3 Eliminating Low Contrast Blocks; 2.4 Lexicographical Sorting; 2.5 Dimension Reduction of Blocks Matrix; 2.6 Block Matching using Phase Correlation; 2.7 Storing of Match Blocks Coordinate; 2.8 Display Forgery
000838581 5058_ $$a3 Experimental Results and Discussions4 Conclusions and Future Work; References; Automated Validation of DNSSEC; 1 Introduction; 2 DNS and DNSSEC; 3 AVISPA and HLPSL; 4 An Overview of DNSSEC Specification Process; 5 Validating DNSSEC Using AVISPA; 6 Results; 7 Conclusion; References; Optimal Clustering in Weibull Distributed WSNs Based on Realistic Energy Dissipation Model; 1 Introduction; 1.1 Motivation and Contributions; 2 Proposed Realistic Energy Dissipation Model and Optimal Clustering Using Weibull Distribution; 2.1 Energy Consumption in Sensing Unit
000838581 5058_ $$a2.2 Energy Consumed in Processing of Signal2.3 Energy Consumed by Processing Unit; 3 Analytical Formulation of Optimal Cluster Based on Realistic Energy Dissipation Model of Sensor Node; 3.1 Optimal Cluster for Weibull Distributed Sensor Network; 4 Performance Evaluation; 5 Conclusion; References; An Empirical Analysis of Articles on Sentiment Analysis; 1 Introduction; 2 Sentiment Analysis Using Various Approaches; 3 Preliminary Steps Involved in Sentiment Analysis; 4 Literature Survey and Categorization of Articles; 5 Conclusion; References
000838581 506__ $$aAccess limited to authorized users.
000838581 520__ $$aThe book focuses to foster new and original research ideas and results in three broad areas: computing, analytics, and networking with its prospective applications in the various interdisciplinary domains of engineering. This is an exciting and emerging interdisciplinary area in which a wide range of theory and methodologies are being investigated and developed to tackle complex and challenging real world problems. It also provides insights into the International Conference on Computing Analytics and Networking (ICCAN 2017) which is a premier international open forum for scientists, researchers and technocrats in academia as well as in industries from different parts of the world to present, interact, and exchange the state of art of concepts, prototypes, innovative research ideas in several diversified fields. The book includes invited keynote papers and paper presentations from both academia and industry to initiate and ignite our young minds in the meadow of momentous research and thereby enrich their existing knowledge. The book aims at postgraduate students and researchers working in the discipline of Computer Science & Engineering. It will be also useful for the researchers working in the domain of electronics as it contains some hardware technologies and forthcoming communication technologies.
000838581 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed April 16, 2018).
000838581 650_0 $$aComputer networks$$vCongresses.
000838581 650_0 $$aCloud computing$$vCongresses.
000838581 7001_ $$aPattnaik, Prasant Kumar,$$d1969-$$eeditor.
000838581 7001_ $$aRautaray, Siddharth Swarup,$$eeditor.
000838581 7001_ $$aDas, Himansu,$$eeditor.
000838581 7001_ $$aNayak, Janmenjoy,$$eeditor.
000838581 77608 $$iPrint version: $$z9789811078705
000838581 830_0 $$aAdvances in intelligent systems and computing ;$$v710.
000838581 852__ $$bebk
000838581 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-10-7871-2$$zOnline Access$$91397441.1
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