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Preface; Contents; Pose Estimation of Mobile Robots Using Floor-Installed RFID Tags; 1 Introduction; 2 Problem Formulation; 3 Related Works; 4 Proposed Localization Algorithms; 4.1 Quantized Kalman Filtering; 4.2 Constrained Kalman Filter; 4.3 Particle Filter; 4.4 Global Localization; 5 RFID Sensor Setup; 5.1 NaviFloor®; 5.2 RFID Reader; 5.3 Omnidirectional Mobile Robot; 6 Experimental Results; 7 Conclusions; References; Solution of Differential Flat Systems Unising Variational Calculus; 1 Introduction; 2 Differential Flat Output and Control

2.1 Relative Degrees of Outputs in Nonlinear Systems2.2 Differential Flat System; 2.3 Flatness and Internal Dynamics; 3 Optimal Control of Differentially Flat Systems; 3.1 Formulation of the Considered Optimal Control Problems; 3.2 Variational Calculus Solution; 4 Examples; 4.1 Example 1; 4.2 Example 2; 4.3 Example 3; 5 Conclusion; References; High Performance Fully Adaptive Runtime Thermal-Aware Routing Algorithm for 3D NoC; 1 Introduction; 2 Related Works; 3 Design Algorithms; 3.1 Overview of the Algorithm; 3.2 Fully Adaptive Intra-layer Routing; 3.3 Downward Inter-layer Routing

4 Experimental Results and Analysis4.1 Results on 4*4*4 Mesh NoC in Normal Mode; 4.2 Results on 8*8*4 Mesh NoC in Normal Mode; 4.3 Thermal Impact on Different Networks; 4.4 Results on Varying Throttling Mode; 4.5 Results on Fixed Throttling Mode; 5 Conclusions; References; PUF-Based Protocols About Mutual Authentication and Ownership Transfer for RFID Gen2 v2 Systems; 1 Introduction; 2 Related Work; 3 Proposed Method; 3.1 Pre-condition/Assumption; 3.2 Mutual Authentication; 3.3 Ownership Transfer/Update; 4 Security Analysis; 5 Evaluation; 6 Conclusion; References

College Students' Online Purchase Intention in Big Data Era1 Introduction; 2 Literature Review and Research Hypotheses; 3 Research Method and Results; 4 Discussion; 5 Conclusion; References; Door Monitoring System Using Sensor Node with Zero Standby Power; 1 Introduction; 2 WSN Using Sensor Node with Zero Standby Power; 2.1 Sensor Node with Zero Standby Power; 2.2 Wireless Sensor Network; 3 Door Monitor; 4 Experiment and Discussion; 4.1 Prototype of Sensor Node; 4.2 Process Flow of Sensor Node; 4.3 Current Sensor; 4.4 Wake-Up and Network Transmit Time; 4.5 Power Consumption

4.6 Battery Life Estimation5 Conclusion; References; The Wireless Obstacle Detection Based on Kalman Filtering for Vehicle-Teleoperation; 1 Introduction; 2 System Architecture; 2.1 Implementation of Visualization and Remote Control System; 2.2 Implementation of Laser Range Finder; 2.3 Implementation and Validation of Ultrasonic System Based on Kalman's Filtering; 3 Experimental Result; 3.1 Visualization and Remote Control System; 3.2 Laser Range Finder System; 3.3 Ultrasonic System; 3.4 The Application of Ultrasonic on Vehicle; 4 Conclusion; References

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