청구기호 |
TK1-9971 |
판사항 |
1st ed. 2022.
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형태사항 |
X, 159 p. 88 illus., 75 illus. in color. online resource.
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총서명 |
Lecture Notes in Electrical Engineering, 1876-1119 ; 865
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언어 |
English |
내용 |
Simulation of GSM Based Smart Energy Meter Presenting Electric Theft Detection and Prevention Mechanism by Using Arduino -- Model-Based Testing of Access Control Requirement in Multi-Tenant Application: An Extensive Life Cycle -- Survivable Biconnected Topology for Yemen’s Optical Network -- A Study on Electric Field Distribution in Polymeric Insulator Using Finite Element Method -- Modelling and Simulation of Building-integrated Photovoltaics (BIPV) Installations in Swinburne University -- Ant Colony Optimization Algorithms for Routing in Wireless Sensor Networks: A Review -- Analyzing the Effects of Corona Ring Material & Dimensions on the Electric Field Distribution of 132kV Glass Insulator String using 2-D FEM -- Ultra-compact all-optical NAND Logic Gates Based on 4x4 MMI Coupler Using Silicon Hybrid Plasmonic Waveguides -- Microstrip Patch Antenna Arrays Design For 5G Wireless Backhaul Application At 3.5 GHz -- Transformer Life Estimation based on Degree of Polymerization with GUI -- Velocity-Based Control of Piston Trajectory in a Free-Piston Linear Electric Generator by Load Current Modulation -- GBI-based Wireless Home Automation System using IoT -- Embedded Machine Learning on a Programmable Neuromorphic Platform -- Investigation on Two Dimensional Photonic Crystal based all Optical Logic Gates -- Miniaturized Multiband Metamaterial Antenna For 5G Applications.
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주제 |
Electrical engineering.
Artificial intelligence.
Quantum communication.
Image processing—Digital techniques.
Computer vision.
Electrical and Electronic Engineering.
Artificial Intelligence.
Quantum Communications and Cryptography.
Computer Imaging, Vision, Pattern Recognition and Graphics.
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보유판 및 특별호 저록 |
Springer Nature eBook
Printed edition: 9789811697807
Printed edition: 9789811697821
Printed edition: 9789811697838
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ISBN |
9789811697814 |
기타 표준번호 |
10.1007/978-981-16-9781-4 |
QR CODE |
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