001374378 000__ 06816cam\a2200685Ii\4500 001374378 001__ 1374378 001374378 003__ OCoLC 001374378 005__ 20230306152950.0 001374378 006__ m\\\\\o\\d\\\\\\\\ 001374378 007__ cr\cn\nnnunnun 001374378 008__ 141201t20152015ii\a\\\\ob\\\\100\0\eng\d 001374378 019__ $$a899586207$$a908086672$$a933722999$$a961513725$$a988823893$$a1011789324$$a1022020245$$a1066445452$$a1086556484$$a1112545686$$a1136517818 001374378 020__ $$a9788132221357$$q(electronic bk.) 001374378 020__ $$a8132221354$$q(electronic bk.) 001374378 020__ $$z9788132221340 001374378 020__ $$z8132221346 001374378 0247_ $$a10.1007/978-81-322-2135-7$$2doi 001374378 0248_ $$a10.1007/978-81-322-2 001374378 035__ $$aSP(OCoLC)897115948$$z(OCoLC)899586207$$z(OCoLC)908086672$$z(OCoLC)933722999$$z(OCoLC)961513725$$z(OCoLC)988823893$$z(OCoLC)1011789324$$z(OCoLC)1022020245$$z(OCoLC)1066445452$$z(OCoLC)1086556484$$z(OCoLC)1112545686$$z(OCoLC)1136517818 001374378 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dYDXCP$$dTEF$$dGW5XE$$dN$T$$dUPM$$dOCLCF$$dIDEBK$$dEBLCP$$dOCLCO$$dVLB$$dOCL$$dOCLCO$$dZ5A$$dESU$$dOCLCQ$$dIOG$$dNJR$$dU3W$$dOCLCQ$$dCEF$$dWYU$$dOCLCQ$$dAUD$$dERF$$dOCLCQ$$dWURST$$dVT2$$dAZK$$dLQU$$dOCLCQ$$dSNK$$dOCLCO 001374378 049__ $$aISEA 001374378 050_4 $$aQ334$$b.I58 2015eb 001374378 08204 $$a006.3$$223 001374378 08204 $$a004 001374378 1112_ $$aInternational Conference on Artificial Intelligence and Evolutionary Algorithms in Engineering Systems$$d(2014 :$$cKumaracoil, India) 001374378 24510 $$aArtificial intelligence and evolutionary algorithms in engineering systems :$$bProceedings of ICAEES 2014.$$nVolume 2 /$$cL Padma Suresh, Subhransu Sekhar Dash, Bijaya Ketan Panigrahi, editors. 001374378 2463_ $$aICAEES 001374378 264_1 $$aNew Delhi :$$bSpringer,$$c2015. 001374378 264_4 $$c©2015 001374378 300__ $$a1 online resource (xvii, 873 pages) :$$billustrations 001374378 336__ $$atext$$btxt$$2rdacontent 001374378 337__ $$acomputer$$bc$$2rdamedia 001374378 338__ $$aonline resource$$bcr$$2rdacarrier 001374378 347__ $$atext file 001374378 347__ $$bPDF 001374378 4901_ $$aAdvances in Intelligent Systems and Computing,$$x2194-5357 ;$$vvolume 325 001374378 500__ $$aInternational conference proceedings. 001374378 504__ $$aIncludes bibliographical references. 001374378 5050_ $$aPreface; Contents; About the Editors; 1 Web Information Extraction on Multiple Ontologies Based on Concept Relationships upon Training the User Profiles; Abstract; 1 Introduction; 2 Review of Related Works; 3 Proposed Web Information Extraction Method; 3.1 Web-based Ontology; 3.2 User Profiling Ontology; 3.3 Cross-Ontology Mining Algorithm for Web Information Extraction; 4 Experimental Setup and Dataset Description; 4.1 Performance Analysis; 5 Conclusion; References; 2 A Study on Competent Crawling Algorithm (CCA) for Web Search to Enhance Efficiency of Information Retrieval; Abstract. 001374378 5058_ $$a1 Introduction2 Crawler; 2.1 Web Crawler Architecture; 2.2 Work Flow of Crawlers; 2.3 Crawling Algorithm's Performance Comparisons; 2.3.1 Competent Crawling Algorithm; 3 Conclusion; References; 3 High Payload Reversible Watermarking for Securing Medical Images in a Cloud Environment; Abstract; 1 Introduction; 2 Literature Survey; 3 Proposed System; 3.1 Data Embedding Algorithm; 3.2 Data Extraction Algorithm; 4 Results and Discussions; References; 4 Enhanced Security Framework for Data Integrity Using Third-party Auditing in the Cloud System; Abstract; 1 Introduction; 2 Related Works. 001374378 5058_ $$a3 Proposed Work3.1 Auditing by Data Owner/Client; 3.2 Notifications for the Resource Access; 3.3 Validating Time Complexity for Resource; 4 Validation; 5 Conclusion and Future Work; References; 5 An Intelligent Cloud Security System for Critical Applications; Abstract; 1 Introduction; 2 Related Works; 3 Proposed Work; 3.1 Malicious Insider; 3.2 Application Algorithm; 4 Validation; 5 Conclusion; References; 6 An Efficient Framework for Health System Based on Hybrid Cloud with ABE-Outsourced Decryption; Abstract; 1 Introduction; 2 Cloud Deployment Models; 3 Motivation and Background. 001374378 5058_ $$a4 Related Works5 Proposed Work; 5.1 Detailed Framework; 5.2 Scenario-Based Explanation with Data Flow in Hybrid Cloud; 6 Issues in Cloud; 7 Conclusion and Future Work; References; 7 A Knowledgeable Feature Selection Based on Set Theory for Web Intrusion Detection System; Abstract; 1 Introduction; 2 Related Works; 3 Existing Feature Selection; 4 KDD CUP 99 Dataset; 5 Proposed Work; 6 Implementation; 7 Conclusions; References; 8 FLC-Based Adaptive Neuro-Fuzzy Inference System for Enhancing the Traveling Comfort; Abstract; 1 Introduction; 2 Half-Car Model; 3 Controllers. 001374378 5058_ $$a3.1 Fuzzy Logic Controller3.2 Artificial Neural Network Controller; 3.3 Adaptive Neuro-Fuzzy Inference System; 4 Simulation Results and Discussion; 5 Conclusion; References; 9 State Variable Filter Design Using Improvised Particle Swarm Optimization Algorithm; Abstract; 1 Introduction; 2 PSO; 3 Proposed Improvements to Conventional PSO; 3.1 Inertia Weight Variation; 3.2 Self-Termination; 3.3 Validation on Benchmark Functions; 4 State Variable Active Filters; 5 Results and Analysis; 6 Conclusion; References; 10 A Novel Algorithm on IP Traceback to Find the Real Source of Spoofed IP Packets. 001374378 506__ $$aAccess limited to authorized users. 001374378 520__ $$aThe book is a collection of high-quality peer-reviewed research papers presented in Proceedings of International Conference on Artificial Intelligence and Evolutionary Algorithms in Engineering Systems (ICAEES 2014) held at Noorul Islam Centre for Higher Education, Kumaracoil, India. These research papers provide the latest developments in the broad area of use of artificial intelligence and evolutionary algorithms in engineering systems. The book discusses wide variety of industrial, engineering and scientific applications of the emerging techniques. It presents invited papers from the inventors/originators of new applications and advanced technologies. 001374378 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed February 6, 2015). 001374378 650_0 $$aArtificial intelligence$$xEngineering applications$$vCongresses. 001374378 650_0 $$aEvolutionary computation$$vCongresses. 001374378 655_0 $$aElectronic books 001374378 7001_ $$aSuresh, L. Padma,$$eeditor. 001374378 7001_ $$aDash, Subhransu Sekhar,$$eeditor. 001374378 7001_ $$aPanigrahi, Bijaya Ketan,$$eeditor. 001374378 77608 $$iPrint version:$$aInternational Conference on Artificial Intelligence and Evolutionary Algorithms in Engineering Systems (2014 : Kumaracoil, India).$$tArtificial intelligence and evolutionary algorithms in engineering systems.$$dNew Delhi : Springer, 2015$$z8132221346$$z9788132221340 001374378 830_0 $$aAdvances in intelligent systems and computing ;$$vvolume 325. 001374378 852__ $$bebk 001374378 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-81-322-2135-7$$zOnline Access$$91397441.1 001374378 909CO $$ooai:library.usi.edu:1374378$$pGLOBAL_SET 001374378 980__ $$aBIB 001374378 980__ $$aEBOOK 001374378 982__ $$aEbook 001374378 983__ $$aOnline 001374378 994__ $$a92$$bISE