001471788 000__ 06261cam\\22006857a\4500
001471788 001__ 1471788
001471788 003__ OCoLC
001471788 005__ 20230908003314.0
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001471788 008__ 230715s2023\\\\si\\\\\\o\\\\\001\0\eng\d
001471788 019__ $$a1390117693
001471788 020__ $$a9789819923229$$q(electronic bk.)
001471788 020__ $$a9819923220$$q(electronic bk.)
001471788 020__ $$z9819923212
001471788 020__ $$z9789819923212
001471788 0247_ $$a10.1007/978-981-99-2322-9$$2doi
001471788 035__ $$aSP(OCoLC)1390559542
001471788 040__ $$aEBLCP$$beng$$cEBLCP$$dYDX$$dGW5XE
001471788 049__ $$aISEA
001471788 050_4 $$aQ334
001471788 08204 $$a006.3$$223/eng/20230720
001471788 1112_ $$aInternational Conference on Communication and Intelligent Systems$$n(4th :$$d2022 :$$cDelhi, India)
001471788 24510 $$aCommunication and intelligent systems :$$bproceedings of ICCIS 2022.$$nVolume 2 /$$cHarish Sharma, Vivek Shrivastava, Kusum Kumari Bharti, Lipo Wang, editors.
001471788 2463_ $$aICCIS 2022
001471788 260__ $$aSingapore :$$bSpringer,$$c2023.
001471788 300__ $$a1 online resource (692 p.).
001471788 4901_ $$aLecture notes in networks and systems ;$$vv. 689
001471788 500__ $$aHealthcare Information Exchange Using Blockchain Technology
001471788 500__ $$aIncludes author index.
001471788 5058_ $$aA Probabilistic Method to Identify HTTP/1.1 Slow Rate DoS Attacks -- 1 Introduction -- 2 Background -- 2.1 HTTP/1.1 -- 2.2 Slow Rate HTTP/1.1 DoS Attacks -- 3 Related Work -- 4 Proposed Detection Approach -- 4.1 Training Phase -- 4.2 Testing Phase -- 4.3 Selecting Threshold Value([beta]) -- 5 Experimental Results -- 5.1 Testbed Architecture -- 5.2 Data Collection for Training Phase -- 5.3 Data Collection for Testing Phase -- 6 Conclusion -- References -- Transmission Pricing Using MW Mile Method in Deregulated Environment -- 1 Introduction -- 2 Problem Statement
001471788 5050_ $$aIntro -- Preface -- Contents -- Editors and Contributors -- Development of PMSM Servo Driver for CNC Machines Using TMS28379D Microcontroller -- 1 Introduction -- 2 Literature Review -- 3 Methods -- 3.1 PMSM Servo Driver Hardware Configuration -- 3.2 Scale Factor -- 3.3 Dynamic Model for PMSM -- 3.4 Applying PID Controller to the PMSM Servo Driver -- 3.5 Trapezoidal Motion Profile Calculation -- 3.6 Features for PMSM Servo Driver -- 3.7 PC-Based Software Design -- 4 Results -- 5 Discussion -- 6 Conclusions and Future Work -- References
001471788 5058_ $$a3 Five-Bus Test System and Relevant Data -- 4 Methodology -- 4.1 MW Mile Method -- 5 Results and Discussion -- 6 Conclusion -- References -- Performance Analysis of Nonlinear Companding Techniques for PAPR Mitigation in 5G GFDM Systems -- 1 Introduction -- 2 GFDM System Model -- 3 PAPR and HPA Nonlinearity in GFDM -- 4 PAPR Reduction Techniques -- 4.1 Mu Law Companding -- 4.2 Root Companding -- 4.3 Exponential Companding -- 5 Performance Evaluation -- 6 Conclusion -- References -- Tensor Completion-Based Data Imputation Framework for IoT-Based Underwater Sensor Network -- 1 Introduction
001471788 5058_ $$a2 Related Work -- 3 Description of the Missing Data Problem and Representation of Dataset in a 3D Tensor -- 4 Tensor Completion-Based Data Imputation Framework for the IoT-USN System -- 5 Result Evaluation and Analysis -- 5.1 Description of Water Sensor Dataset -- 5.2 Result Analysis in Terms of RMSE and MAPE -- 6 Conclusion -- References -- Pre-training Classification and Clustering Models for Vietnamese Automatic Text Summarization -- 1 Introduction -- 2 Related Work -- 3 Model -- 3.1 Proposed Summary Model -- 3.2 The kmeans Clustering -- 3.3 Stochastic Gradient Descent
001471788 5058_ $$a3.4 Word Representation -- 3.5 Cosine Distance -- 3.6 ROUGE -- 4 Experiment -- 4.1 Data Set -- 4.2 Evaluating Computer -- 4.3 Training, Summarizing, and Parameters -- 4.4 Results -- 5 Conclusion and Future Work -- References -- Identifying Critical Transition in Bitcoin Market Using Topological Data Analysis and Clustering -- 1 Introduction -- 2 Literature Survey -- 3 Experimental Overview -- 3.1 Dataset -- 3.2 Algorithms Used -- 3.3 Experimental Values Used -- 4 Results -- 4.1 Cluster Validation -- 5 Conclusion and Future Work -- References
001471788 506__ $$aAccess limited to authorized users.
001471788 520__ $$aThis book gathers selected research papers presented at the Fourth International Conference on Communication and Intelligent Systems (ICCIS 2022), organized by the National Institute of Technology, Delhi, India, during December 1920, 2022. This book presents a collection of state-of-the-art research work involving cutting-edge technologies for communication and intelligent systems. Over the past few years, advances in artificial intelligence and machine learning have sparked new research efforts around the globe, which explore novel ways of developing intelligent systems and smart communication technologies. The book presents single- and multi-disciplinary research on these themes in order to make the latest results available in a single, readily accessible source. The work is presented in two volumes.
001471788 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed July 20, 2023).
001471788 650_0 $$aArtificial intelligence$$vCongresses.
001471788 655_0 $$aElectronic books.
001471788 7001_ $$aSharma, Harish.
001471788 7001_ $$aShrivastava, Vivek.
001471788 7001_ $$aBharti, Kusum Kumari.
001471788 7001_ $$aWang, Lipo.
001471788 77608 $$iPrint version:$$aSharma, Harish$$tCommunication and Intelligent Systems$$dSingapore : Springer,c2023$$z9789819923212
001471788 830_0 $$aLecture notes in networks and systems ;$$vv. 689.
001471788 852__ $$bebk
001471788 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-2322-9$$zOnline Access$$91397441.1
001471788 909CO $$ooai:library.usi.edu:1471788$$pGLOBAL_SET
001471788 980__ $$aBIB
001471788 980__ $$aEBOOK
001471788 982__ $$aEbook
001471788 983__ $$aOnline
001471788 994__ $$a92$$bISE