Subir Chowdhury

Bio: Subir Chowdhury is an academic researcher. The author has contributed to research in topics: Taguchi methods & Orthogonal array. The author has an hindex of 7, co-authored 29 publications receiving 1260 citations.

Taguchi's Quality Engineering Handbook

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The Mahalanobis-Taguchi System

Abstract: Preface Acknoledgements Chapter 1: Introduction 1.1 Lives Versus Machines 1.2 What Is MTS? 1.3 Where MTS Can Be Applied 1.4 An Important Issue Chapter 2: A Detailed Example of MTS 2.1 Clutch Disc Defects 2.2 Visual Inspection Method 2.3 Differential and Integral Characteristics 2.4 Raw Data Collection 2.5 Normalization 2.6 Matrix Construction 2.7 Mahalanobis Distance 2.8 Results of Recognition 2.9 Selection of Threshold Value 2.10 Selection of Characteristics 2.11 Confirmation Chapter 3: Business-Process Forecasting 3.1 A Problem in Business Systems 3.2 Preparation of the Database 3.3 Calculation of the Database 3.4 Mahalanobis Distance 3.5 Estimation of the Unpaid Amount and its Estimating Error by Using the SN Ratio 3.6 Rationalization of Item Selection 3.7 Design of a Business System Section One -- Health Care Chapter 4: Diagnosis of a Special Health Checking 4.1 Diagnosis of Liver Function 4.2 Selection of Characteristics 4.3 The Loss Function of Health Checkups (Determination of Threshold) Chapter 5: Application for Medical Treatment 5.1 Problems in Clinical Research 5.2 Mahalanobis Distance and Treatment Effect 5.3 The Study Using One Patient 5.4 Comparison Treatment Methods Section Two -- Mechanical Industry Chapter 6: Wafer Yield Prediction 6.1 Objective 6.2 Base Space 6.3 Relatinship Between Mahalanobis Distance and Yield 6.4 Selection of Characteristics Chapter 7: Inkject Quality Inspection 7.1 Introduction 7.2 Camera Inspection System 7.3 Mahalanobis Distance Results 7.4 Measurement System Cost Reduction 7.5 Conclusions Chapter 8: Prevention of Driving Accidents 8.1 Introduction 8.2 Measuring System 8.3 Base Space 8.4 Base Data Collection 8.5 Base Space Construction and Mahalanobis Distance Distribution 8.6 Mahalanaobis Distance Under Dangerous Situations 8.7 Evaluation of Functionality 8.8 Conclusion Section Three -- Electrical Industry Chapter 9: Solder Joint Appearance Inspection 9.1 Introduction 9.2 Data Collection and Mahalanobis Distance Calculation 9.3 Mahalanobis Distance Using Inspection-Logic Characteristics 9.4 Mahalanobis Distance Using Reflection Characteristics Chapter 10: Fire Alarm System Optimization 10.1 Introduction 10.2 Data Collection 10.3 Calculation of Mahalanobis Space 10.4 Calculation of Mahalanobis Distance 10.5 Selection of Sensors Section Four -- Chemical Industry Chapter 11: Diagnosis of Photographic Processing Solution 11.1 Introduction 11.2 Processing of Photo-Sensitive Materials 11.3 Selection of the Base Space 11.4 Mahalanobis Distance of Rejected Solutions and Their Photographic Quality 11.5 Factorial Effects 11.6 Discussions Chapter 12: Pattern Recognition for Infrared Absorption Spectrum Analysis 12.1 Introduction 12.2 Experiment 12.3 Selection of Characteristics 12.4 Results Section Five -- Space Industry Chapter 13: Fault Analysis 13.1 Introduction 13.2 Outline of the Fault Diagnosis Program (FDP) 13.3 Observer and Residual 13.4 Process of Fault Diagnosis by Using Residuals 13.5 Collection of Normal Data 13.6 The Standard Space of a Normal Group 13.7 Fault Detection by Mahalanobis Distance 13.8 Fault Identification by Mahalanobis Distance 13.9 Fault Identification by Estimation Errors Section Six -- Software Industry Chapter 14: Valuation of a Programmer's Capability 14.1 Introduction 14.2 Data Collection 14.3 The MTS Method 14.4 Analysis 14.5 Factor Reductin 14.6 Effective Factors 14.7 Results Chapter 15: Handwriting Recognition 15.1 Introduction 15.2 Extraction of Character Elements 15.3 Procedures of Character Recognition 15.4 Calculation of Mahalanobis Distance 15.5 Hand-Written Character Recognition Section Seven -- Government Chapter 16: U.S. Dollar Bill Inspection 16.1 Patterns of U.S. Dollar Bills 16.2 Characteristics of One-Dollar Bills 16.3 Differentiation of One-Dollar Bills Index

Learning from Imbalanced Data

Abstract: With the continuous expansion of data availability in many large-scale, complex, and networked systems, such as surveillance, security, Internet, and finance, it becomes critical to advance the fundamental understanding of knowledge discovery and analysis from raw data to support decision-making processes. Although existing knowledge discovery and data engineering techniques have shown great success in many real-world applications, the problem of learning from imbalanced data (the imbalanced learning problem) is a relatively new challenge that has attracted growing attention from both academia and industry. The imbalanced learning problem is concerned with the performance of learning algorithms in the presence of underrepresented data and severe class distribution skews. Due to the inherent complex characteristics of imbalanced data sets, learning from such data requires new understandings, principles, algorithms, and tools to transform vast amounts of raw data efficiently into information and knowledge representation. In this paper, we provide a comprehensive review of the development of research in learning from imbalanced data. Our focus is to provide a critical review of the nature of the problem, the state-of-the-art technologies, and the current assessment metrics used to evaluate learning performance under the imbalanced learning scenario. Furthermore, in order to stimulate future research in this field, we also highlight the major opportunities and challenges, as well as potential important research directions for learning from imbalanced data.

Linear Antenna Array Synthesis Using Taguchi's Method: A Novel Optimization Technique in Electromagnetics

Abstract: We describe a new global electromagnetic optimization technique using Taguchi's method and apply it to linear antenna array design. Taguchi's method was developed on the basis of the orthogonal array (OA) concept, which offers systematic and efficient characteristics. This paper illustrates the implementation procedure of Taguchi's method in electromagnetic optimization problems. The optimization procedure is then used to design two linear antenna arrays with specific array factor requirements. Obtained results show that the desired null controlled pattern and sector beam pattern are successfully achieved. Compared to traditional optimization techniques, Taguchi's method is easy to implement and efficient to reach the optimum solutions

Distributed Energy Consumption Control via Real-Time Pricing Feedback in Smart Grid

Abstract: This brief proposes a pricing-based energy control strategy to remove the peak load for smart grid. According to the price, energy consumers control their energy consumption to make a tradeoff between the electricity cost and the load curtailment cost. The consumers are interactive with each other because of pricing based on the total load. We formulate the interactions among the consumers into a noncooperative game and give a sufficient condition to ensure a unique equilibrium in the game. We develop a distributed energy control algorithm and provide a sufficient convergence condition of the algorithm. The energy control algorithm starts at the beginning of each time slot, e.g., 15 min. Finally, the energy control strategy is applied to control the energy consumption of the consumers with heating ventilation air conditioning systems. The numerical results show that the energy control strategy is effective in removing the peak load and matching supply with demand, and the energy control algorithm can converge to the equilibrium.