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Preface; Contents; About the Editors; 1 Improvement in Hungarian Algorithm for Assignment Problem; Abstract; 1 Introduction; 1.1 Assignment Problem; 2 Existing Work; 3 Methodology; 4 Conclusions and Future Work; 4.1 Comparison; 4.2 Future Work; Acknowledgments; References; 2 Vertex Cover Problem
Revised Approximation Algorithm; Abstract; 1 Introduction; 2 Related Work; 3 Approach; 3.1 Classical Approach; 3.2 Our Approach; 4 Analysis; 5 Implementation; 6 Conclusion; 7 Future Work; Acknowledgment; References
3 A Simple Control Strategy Technique for a Single-phase Bridgeless Active Rectifier with High Power Factor and Voltage Stabilization Using Partial Digital ImplementationAbstract; 1 Introduction; 2 Circuit Configuration; 3 Operation Sequence; 3.1 Case 1: Positive Half Cycle, T1 is ON; 3.2 Case 2: Positive Half Cycle, T1 is OFF; 3.3 Case 3: Negative Half Cycle, T2 is ON; 3.4 Case 4: Negative Half Cycle, T2 is OFF; 4 Experimental Results; 4.1 Input Power Factor and Current Waveforms; 4.2 Regulating the Output Voltage at Load Variance; 5 Conclusion; References
4 Ensemble Neural Network Algorithm for Detecting Cardiac ArrhythmiaAbstract; 1 Introduction; 2 Materials and Methods; 2.1 Dataset Description; 2.2 Ensemble Neural Network Algorithm; 3 Results; 3.1 Performance Metrics; 3.2 Diagnosis of Cardiac Arrhythmia; 3.3 Related Work; 4 Conclusion; References; 5 An Efficient Invasive Weed Optimization Algorithm for Distribution Feeder Reconfiguration and Loss Minimization; Abstract; 1 Introduction; 2 Problem Formulation; 3 Invasive Weed Optimization Algorithm; 3.1 Steps Involved in IWO Algorithm; 3.1.1 Initialize a Population; 3.1.2 Reproduction
3.1.3 Spatial Dispersal3.1.4 Competitive Exclusion; 4 Implementation of Invasive Weed Optimization Algorithm to Reduce the Power Loss; 5 Test System; 6 Results and Discussion; 7 Conclusion; Acknowledgments; References; 6 Implementation of Generative Crossover Operator in Genetic Algorithm to Solve Traveling Salesman Problem; Abstract; 1 Introduction; 2 Proposed Methodology; 2.1 Example of M-Crossover Operator; 2.2 Creating the First Offspring Chromosome; 2.3 Creating the Second Offspring Chromosome; 2.4 Creating Other Offspring Chromosomes; 3 Actual Experiment; 4 Results and Discussion
5 Conclusion and Future WorkReferences; 7 A 4-bit 9 KS/s Distortionless Successive Approximation ADC in 180-nm CMOS Technology; Abstract; 1 Introduction; 2 Architecture; 2.1 Sample and Hold; 2.2 Comparator; 2.3 Successive Approximation Register Control Logic; 2.4 Digital-to-analog Converter; 3 Simulation Results; 3.1 Sample and Hold Waveforms; 3.2 Comparator Waveforms; 3.3 SAR Logic Waveform; 3.4 SAR ADC Output; 3.5 Power Dissipation Comparison; 4 Conclusion; References; 8 EEG-based Automatic Detection of Drowsy State; Abstract; 1 Introduction; 2 EEG Extraction and Artifact Removal Techniques
Revised Approximation Algorithm; Abstract; 1 Introduction; 2 Related Work; 3 Approach; 3.1 Classical Approach; 3.2 Our Approach; 4 Analysis; 5 Implementation; 6 Conclusion; 7 Future Work; Acknowledgment; References
3 A Simple Control Strategy Technique for a Single-phase Bridgeless Active Rectifier with High Power Factor and Voltage Stabilization Using Partial Digital ImplementationAbstract; 1 Introduction; 2 Circuit Configuration; 3 Operation Sequence; 3.1 Case 1: Positive Half Cycle, T1 is ON; 3.2 Case 2: Positive Half Cycle, T1 is OFF; 3.3 Case 3: Negative Half Cycle, T2 is ON; 3.4 Case 4: Negative Half Cycle, T2 is OFF; 4 Experimental Results; 4.1 Input Power Factor and Current Waveforms; 4.2 Regulating the Output Voltage at Load Variance; 5 Conclusion; References
4 Ensemble Neural Network Algorithm for Detecting Cardiac ArrhythmiaAbstract; 1 Introduction; 2 Materials and Methods; 2.1 Dataset Description; 2.2 Ensemble Neural Network Algorithm; 3 Results; 3.1 Performance Metrics; 3.2 Diagnosis of Cardiac Arrhythmia; 3.3 Related Work; 4 Conclusion; References; 5 An Efficient Invasive Weed Optimization Algorithm for Distribution Feeder Reconfiguration and Loss Minimization; Abstract; 1 Introduction; 2 Problem Formulation; 3 Invasive Weed Optimization Algorithm; 3.1 Steps Involved in IWO Algorithm; 3.1.1 Initialize a Population; 3.1.2 Reproduction
3.1.3 Spatial Dispersal3.1.4 Competitive Exclusion; 4 Implementation of Invasive Weed Optimization Algorithm to Reduce the Power Loss; 5 Test System; 6 Results and Discussion; 7 Conclusion; Acknowledgments; References; 6 Implementation of Generative Crossover Operator in Genetic Algorithm to Solve Traveling Salesman Problem; Abstract; 1 Introduction; 2 Proposed Methodology; 2.1 Example of M-Crossover Operator; 2.2 Creating the First Offspring Chromosome; 2.3 Creating the Second Offspring Chromosome; 2.4 Creating Other Offspring Chromosomes; 3 Actual Experiment; 4 Results and Discussion
5 Conclusion and Future WorkReferences; 7 A 4-bit 9 KS/s Distortionless Successive Approximation ADC in 180-nm CMOS Technology; Abstract; 1 Introduction; 2 Architecture; 2.1 Sample and Hold; 2.2 Comparator; 2.3 Successive Approximation Register Control Logic; 2.4 Digital-to-analog Converter; 3 Simulation Results; 3.1 Sample and Hold Waveforms; 3.2 Comparator Waveforms; 3.3 SAR Logic Waveform; 3.4 SAR ADC Output; 3.5 Power Dissipation Comparison; 4 Conclusion; References; 8 EEG-based Automatic Detection of Drowsy State; Abstract; 1 Introduction; 2 EEG Extraction and Artifact Removal Techniques