12963nam 22006495 450 991073697820332120230803040517.09783031405792303140579X10.1007/978-3-031-40579-2(MiAaPQ)EBC30673824(Au-PeEL)EBL30673824(DE-He213)978-3-031-40579-2(PPN)272266116(CKB)27906747100041(OCoLC)1393208096(EXLCZ)992790674710004120230803d2023 u| 0engurcnu||||||||txtrdacontentcrdamediacrrdacarrierAdvances in Systems Engineering Proceedings of the 30th International Conference on Systems Engineering, ICSEng 2023, Las Vegas, Nevada, USA August 22-24, 2023 /edited by Henry Selvaraj, Grzegorz Chmaj, Dawid Zydek1st ed. 2023.Cham :Springer Nature Switzerland :Imprint: Springer,2023.1 online resource (531 pages)Lecture Notes in Networks and Systems,2367-3389 ;761Print version: Selvaraj, Henry Advances in Systems Engineering Cham : Springer International Publishing AG,c2023 9783031405785 Intro -- Contents -- Machine Learning/AI -- Energy Demand and Renewable Energy Generation Forecasting for Optimizing Dispatching Strategies of Virtual Power Plants Using Time Decomposition-Based DLinear -- 1 Introduction -- 2 Proposed Work -- 2.1 VPP Energy Optimization Scheduling -- 2.2 Time Decomposition-Based DLinear -- 3 Experiment and Result Analysis -- 4 Conclusion -- References -- AiDashcam: A Vehicle Collision Responsibility Evaluation System Based on Object Detection and OpenStreetMap -- 1 Introduction -- 2 Related Work -- 3 Vehicle Collision Responsibility Evaluation System -- 3.1 Design of the System -- 3.2 Crash Time Detection and Responsibility Assessment -- 4 Experiments -- 5 Conclusions -- References -- Forecasting the Effect of Dust and Irradiance in PV Panel Using Image Processing and ANN -- 1 Introduction -- 2 Impact of Dust in Solar Panels -- 3 Present Cleaning Techniques -- 3.1 Manual Cleaning -- 3.2 Vacuum Suction Device Cleaning -- 3.3 Self-cleaning Nano Film -- 4 Digital Image Processing -- 5 Methodology -- 6 Forecasting Using Neural Network -- 7 Conclusion -- References -- BigData (Data Mining, Data Warehouses, Sensor Networks, Data Classification, Regression) -- A New Credit Scoring Model to Reduce Potential Predatory Lending: A Design Science Approach -- 1 Introduction -- 2 Background -- 2.1 Credit Scoring Models -- 2.2 FICO Credit Scoring -- 3 Research Aims -- 4 Methodology -- 4.1 Design Research Science -- 4.2 Logistic Regression Model -- 5 Experiment Setup -- 5.1 Data -- 5.2 Design and Build -- 6 Results Discussion -- 7 Conclusion -- 8 Potential Limitations -- Appendix A: Factors and Variables Used to Create a New Credit Scoring Model -- References -- Cooperative Spectrum Sharing in Cognitive Radio Networks with Energy Harvesting -- 1 Introduction -- 1.1 Contributions -- 1.2 Organization of Paper.2 System Model and Problem Formulation -- 3 Artificial Bee Colony Based Optimization -- 4 Simulation Results -- 5 Conclusion -- References -- Predicting COVID-19 Infected Cases: Exploring Stacked Generalization with Japanese Data -- 1 Introduction -- 2 Related Work -- 3 Proposed Stacking-Ensemble Approach -- 4 Implementation -- 4.1 Dataset -- 4.2 Data Preprocessing -- 4.3 Training LSTM and GRU Networks -- 4.4 Training XGBoost Classifier -- 4.5 Predicting Future Infected Cases and Calculating Prediction Interval -- 5 Result and Evaluation -- 6 Discussion -- 7 Conclusion -- References -- Intelligent Systems, Systems Engineering -- Mining Career Patterns from Job Portals with Relevance to Oman -- 1 Introduction -- 2 Literature Review -- 3 Proposed Model -- 3.1 Methodology -- 3.2 Implementation Plan -- 4 Results and Discussion -- 5 Conclusion -- References -- Ranking of Web Search for Best Link Identification by Using Hierarchy of Web Page Content -- 1 Introduction -- 2 Existing Work -- 3 Methodology -- 4 Experimentation -- 4.1 Survey -- 4.2 Search Term Frequency Extraction -- 5 Conclusion -- 6 Future Work -- References -- Analysis of Software Cost Models Based on Exponential Software Reliability Growth Models -- 1 Introduction -- 2 Existing Software Reliability Growth Model -- 3 Software Reliability Cost Models -- 3.1 Software Reliability Cost Model (Model-1) -- 3.2 Software Reliability Cost Model with Penalty Cost (Model-2) -- 3.3 Software Reliability Cost Model with Risk Cost (Model-3) -- 4 Optimal Release Problem -- 4.1 Optimum Release Policy -- 5 Result and Analysis -- 6 Conclusion -- References -- Hardware Optimization in Data Mining Using Logical Synthesis -- 1 Introduction -- 2 Logical Synthesis Methods -- 3 Index Generation Function -- 4 Linear Decomposition -- 5 Conclusions -- References.Quantification of B0 Inhomogeneities in the Abdomen at 3 T -- 1 Introduction -- 2 Methods -- 3 Results -- 4 Discussion -- 5 Conclusions -- References -- Cervical Cancer Tumor Delineation for Brachytherapy Using Diffusion Weighted Images -- 1 Introduction -- 2 Methods -- 3 Results -- 4 Discussion -- 5 Conclusions -- References -- The Use of Strychnos Potatorum in an Environmental IoT System for the Treatment of Commercial and Domestic Washing Discharge in Continuous Column Studies -- 1 Introduction -- 1.1 Methods of Water Treatment -- 2 Batch Experiment -- 2.1 Preparation of Strychnos Potatorum -- 2.2 Discharge Collection from Washing Machine -- 2.3 Preparation of Synthetic Turbid Water -- 3 Results and Discussion -- 3.1 Effect of Initial Turbidity -- 3.2 Effect of pH -- 3.3 Effect of Size -- 3.4 Effect of Dosage -- 3.5 Instrumental Analysis -- 4 Column Studies -- 4.1 Effect of Adsorbent Bed Height -- 4.2 Effect of Flow Rate -- 5 Conclusion -- 6 Future Scope -- References -- Cybersecurity in Networks, IoT, Physical Systems and other Areas -- Applying Machine Learning to Minimize the Impact of Sensor Failures to RTOS Based Internet of Things Systems -- 1 Introduction -- 2 Related Work -- 3 Proposed Architecture and Dataset Used -- 3.1 Dynamic Voltage and Frequency Scaling (DVFS) -- 3.2 Cache -- 3.3 Missing Data Restoration Using ML Approach -- 3.4 Dataset -- 4 Experiments and Results -- 4.1 Dvfs -- 4.2 ML Methods -- 4.3 Case Analysis: Impact of Missing Data and Imputed Data on Application -- 5 Conclusions -- References -- Detecting Cyber-Attacks and Power System Disturbances in Smart Grids with Deep Forest -- 1 Introduction -- 2 Simulated Smart Grid System Architecture and Datasets -- 3 Deep Forest -- 3.1 Cascade Forest Structure -- 3.2 Multi-grained Scanning -- 3.3 Architecture of Deep Forest -- 4 Performance Evaluation and Results -- 5 Conclusion.References -- Forensics with IoT Based Systems' Evidences: A Futuristic Review on Forensic and IoT Frameworks -- 1 Introduction -- 2 Literature Review -- 2.1 DF Challenges in IoT -- 2.2 Enhancement of IoT Investigation -- 2.3 IoT Forensıcs Framework Development -- 3 Proposed IoT Framework Discussion -- 4 Future Work and Conclusıon -- 4.1 Recommendations -- References -- The Analysis of Security Properties for Dynamic Privacy-Policy in Data Collection and Access Control -- 1 Introduction -- 2 Policy Graph for a Dynamic Data Collection and Access Control -- 3 Policy Analysis with Examples in a Wearable Device -- 4 Conclusion and Future Works -- References -- Analog and Digital Hardware Systems (Real-time Systems / RTOS, Embedded Systems, Hybrid Embedded Systems, Mixed Signal Designs) -- Design Optimization of Wide TR LC-VCOs -- 1 Introduction -- 2 Analysis of VCOs Frequency Tuning Range in Millimeter-Wave -- 3 Proposed Design Methodology for a Wide TR LC-VCOs -- 4 Conclusion -- References -- Analog Frequency Sampling Filters -- 1 Introduction -- 2 Type 1 Frequency Sampling Filters -- 2.1 Complex Impulse Response -- 2.2 Complex Impulse Response and Linear Phase -- 2.3 Real Impulse Response -- 2.4 Real Impulse Response and Linear Phase -- 3 Type 2 Frequency Sampling Filters -- 3.1 Complex Impulse Response -- 3.2 Complex Impulse Response and Linear Phase -- 3.3 Real Impulse Response -- 3.4 Real Impulse Response and Linear Phase -- 4 Implementation Considerations -- 5 Summary -- A Appendix -- References -- The Design and Implementation of Linear Phase Analog Frequency Sampling Filters -- 1 Introduction -- 2 An Optimization Method for the Design of Linear Phase Frequency Sampling Filters -- 3 Examples -- 3.1 Example 1. Coefficients for a Type 1 Frequency Sampling Filter -- 3.2 Example 2. A Low-Pass Type 2 Frequency Sampling Filter -- 4 Summary -- References.XI Bass: Design of a Smart Sound Application that Implements the "Physical Feel" of Playing Slap Bass -- 1 Introduction -- 2 Prior Example -- 2.1 Smartphone Bass Applications -- 2.2 ベースの構 と奏法 Parts of Bass Guitar and Technique -- 3 XI BASSのメカニズム XI BASS Mechanism Design -- 3.1 Basic Design -- 3.2 Mechanism of Function to Reproduce Bass-Slap Operation -- 3.3 Reproduction of the Tactile Sensation of Bass Strings by Vibration -- 3.4 Differences from Previous Research -- 4 Conclusion and Future Work -- References -- Control Systems, Aerospace Systems -- A Transposed Jacobian Position Control for Differential Drive Mobile Robots -- 1 Introduction -- 2 Equations of Motion -- 3 Transposed Jacobian Control -- 4 Simulation Results -- 5 Conclusion -- References -- Neural Extended Kalman Filter Tracker Using the ReLu Function -- 1 Introduction -- 2 Summary of the NEKF -- 2.1 Jacobians of the State-Coupling Function -- 3 ReLU Activation Function -- 4 Target Tracking Scenario -- 5 Results -- 6 Conclusions -- References -- Adaptive Spacecraft Attitude Control and Asteroid Parameter Estimation -- 1 Introduction -- 2 Asteroid-Orbiting Spacecraft Attitude Dynamics -- 3 Adaptive Control System -- 4 Gradient-Based Adaptation Law -- 5 Simulation Results -- 6 Conclusions -- References -- Joint Power Control and Altitude Planning for Energy-Efficient UAV-Assisted Vehicular Networks -- 1 Introduction -- 2 System Model -- 2.1 Problem Formulation -- 3 Proposed Algorithm -- 3.1 Addressing the Fractional Objective Function in (12) -- 3.2 Addressing Problem (14) -- 3.3 Computational Complexity Analysis of Algorithm1 -- 4 Simulation Results -- 5 Conclusion -- References -- Power Systems (Renewable Energy, Environmental Systems, Smart Grids, Renewable Energy, Nuclear Energy) -- Estimating Service Regions for Battery Exchange Stations -- 1 Introduction -- 2 System Model.3 Formulation of Coverage Area Estimation.This book presents the proceedings of the 30th International Conference on Systems Engineering held at the University of Nevada, Las Vegas (UNLV), USA, during August 22-24, 2023. Research in the discipline of Systems Engineering is an important concept in the advancement of engineering and information sciences. Systems Engineering attempts to integrate many of the traditional engineering disciplines to solve large complex functioning engineering systems, dependent on components from all the disciplines. The research papers contained in these proceedings reflect the state of the art in systems engineering from all over the world and should serve as vital references to researchers to follow. The topics covered in this book include AeroSpace Systems, Cyber-Physical Systems, Autonomous Systems, Sensor Networks, Machine Learning and Analytics, Internet of Things, Applied Media Informatics and Technology, Control Systems, Energy Systems, Automotive Systems, Biological Systems, Vehicular Networking and Connected Vehicles, Aerospace Systems, Automation, Manufacturing, Smart Grids, Nonlinear Systems, Power Systems, Robotics, Social Systems, Economic Systems, and others. This book is a very good resource for graduate students, researchers, and scholars who want to learn about the most recent development in the fields.Lecture Notes in Networks and Systems,2367-3389 ;761Automatic controlComputational intelligenceControl and Systems TheoryComputational IntelligenceAutomatic control.Computational intelligence.Control and Systems Theory.Computational Intelligence.629.8312003Selvaraj Henry1381856Chmaj Grzegorz1381857Zydek Dawid1381858MiAaPQMiAaPQMiAaPQBOOK9910736978203321Advances in Systems Engineering3424715UNINA04129nam 2200745 a 450 991101893760332120240516061114.0978661330634097811180935281118093526978111919823911191982329781283306348128330634497811180935421118093542(CKB)2550000000041144(EBL)693200(OCoLC)811493618(SSID)ssj0000529383(PQKBManifestationID)11930038(PQKBTitleCode)TC0000529383(PQKBWorkID)10551470(PQKB)11685287(MiAaPQ)EBC693200(Au-PeEL)EBL693200(CaPaEBR)ebr10483320(CaONFJC)MIL330634(Perlego)1010866(EXLCZ)99255000000004114420110218d2011 uy 0engur|n|---|||||txtccrQuantum trading using principles from W.D. Gann and modern physics to forecast the financial markets /Fabio Oreste1st ed.Hoboken, N.J. Wiley20111 online resource (241 p.)Wiley trading series ;409Includes index.9780470435120 0470435127 QuantumTrading; Contents; Preface; CHAPTER 1 The Birth of Quantum Trading: How Einstein's Theories and Quantum Particles Affect Your Daily Trading; CHAPTER 2 How to Psychologically Prepare for Successful Trading; CHAPTER 3 Quantum Trading 101; CHAPTER 4 Sun Spots, Geomagnetic Storms, and the Stock Market; CHAPTER 5 P-Space Structure and Quantum Trading Algorithms; CHAPTER 6 The Life and Contributions of W. D. Gann: A Forerunner of Quantum Trading; CHAPTER 7 Chaos Theory and Gann Angles; CHAPTER 8 Money Management Strategies; CHAPTER 9 Entelechy: The Most Powerful Quantum Trading ConceptCHAPTER 10 Forecasting Tops and Bottoms Using QPLs and SubharmonicsCHAPTER 11 Time Algorithms in Quantum Trading; CHAPTER 12 How to Use All the Trading Tools Together; CHAPTER 13 How to Use Options: Unlimited Gains with Little Risk; CHAPTER 14 Options Strategies with Quantum Trading Tools; CHAPTER 15 A Toast to a New Achievement in Trading; Conclusion: Making Peace with Mr. Market; Acknowledgments; About the Author; Index"A cutting-edge guide to quantum trading Original and thought-provoking, Quantum Trading presents a compelling new way to look at technical analysis and will help you use the proven principles of modern physics to forecast financial markets. In it, author Fabio Oreste shows how both the theory of relativity and quantum physics is required to makes sense of price behavior and forecast intermediate and long-term tops and bottoms. He relates his work to that of legendary trader W.D. Gann and reveals how Gann's somewhat esoteric theories are consistent with his applications of Einstein's theory of relativity and quantum theory to price behavior. Applies concepts from modern science to financial market forecasting Includes a CD that?shows how to generate support/resistance areas and identify potential market turning points Addresses how non-linear approaches to trading can be used to both understand and forecast market prices While no trading approach is perfect, the techniques found within these pages have enabled the author to achieve a very attractive?annual return since 2002. See what his insights can do for you"--Provided by publisher.Wiley trading series ;409.SpeculationStocksQuantum theoryPhysicsSpeculation.Stocks.Quantum theory.Physics.332.64/5Oreste Fabio1963-546148MiAaPQMiAaPQMiAaPQBOOK9911018937603321Quantum trading4419775UNINA