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Advances in Computer, Communication and Control
ISBN-13:
9789811331220
Veröffentl:
2019
Einband:
eBook
Seiten:
563
Autor:
Utpal Biswas
Serie:
41, Lecture Notes in Networks and Systems
eBook Typ:
PDF
eBook Format:
Reflowable eBook
Kopierschutz:
Digital Watermark [Social-DRM]
Sprache:
Englisch
Beschreibung:
The book discusses the recent research trends in various sub-domains of computing, communication and control. It includes research papers presented at the First International Conference on Emerging Trends in Engineering and Science. Focusing on areas such as optimization techniques, game theory, supply chain, green computing, 5g networks, Internet of Things, social networks, power electronics and robotics, it is a useful resource for academics and researchers alike.
The book discusses the recent research trends in various sub-domains of computing, communication and control. It includes research papers presented at the First International Conference on Emerging Trends in Engineering and Science. Focusing on areas such as optimization techniques, game theory, supply chain, green computing, 5g networks, Internet of Things, social networks, power electronics and robotics, it is a useful resource for academics and researchers alike.
Chapter 1: Transient Voltage Analysis of a Hybrid Power System model by using novel Symbiosis Organism Search Algorithm.- Chapter 2: Rectangular Microstrip Antenna with Defected Patch Surface for Miniaturization and Improved Polarization Purity.- Chapter 3: Numerical Analysis of a Wideband Rectangular to Square Waveguide transition for X-band Orthomode Transducer Applications.- Chapter 4: A 2.45 GHz Harmonic Suppression Filtenna for Rectenna Application.- Chapter 5: Current Differencing Transconductance Amplifier (CDTA) Based Current Mode Quadrature Oscillator.- Chapter 6: Energy-Efficient Devices Towards Greater Economic Efficiency And Energy.- Chapter 7: A cost function based multi-objective multicast communication over WDM optical fiber mesh network.- Cbhapter 8: Short Term Load Forecasting for Peak Load Reduction using Artificial Neural Network Technique.