Innovations in soft computing and information technology : proceedings of ICEMIT 2017. Volume 3 /

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Bibliographic Details
Meeting name:International Conference on Energy, Materials and Information Technology (2017 : Ranchi, India)
Imprint:Singapore : Springer, 2019.
Description:1 online resource
Subject:Soft computing -- Congresses.
COMPUTERS -- General.
Soft computing.
Electronic books.
Conference papers and proceedings.
Format: E-Resource Book
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Hidden Bibliographic Details
Varying Form of Title:ICEMIT 2017
Other authors / contributors:Chattopadhyay, Jayeeta, editor.
Singh, Rahul, editor.
Bhattacherjee, Vandana, editor.
Digital file characteristics:text file PDF
Notes:Includes author index.
Online resource; title from PDF title page (SpringerLink, viewed January 24, 2019).
Summary:The book presents innovative scientific research works by academics, research scholars and students, presented at the 2017 International Conference on Energy, Materials and Information Technology at Amity University Jharkhand, India. It includes contributions on system solutions based on soft computing techniques, and covers innovative soft computing techniques and tools with advanced applications. A major focus of the book is on presenting interdisciplinary problems and how they can be solved using information technology, together with innovative connections to other disciplines. It also includes papers on cloud computing and WSN-related real-time research.
Other form:Printed edition: 9789811331848
Printed edition: 9789811331862
Standard no.:10.1007/978-981-13-3185-5
Table of Contents:
  • Intro; Preface; Acknowledgement; Contents; About the Editors; 1 Sinusoids and Its Orthogonality; 1 Introduction; 1.1 Definition of DFT; 1.2 Inverse DFT; 1.3 DFT Sinusoids; 2 Orthogonality of the DFT Sinusoids; 3 Conclusions; References; 2 A Case Study of Hindi-English Example-Based Machine Translation; 1 Introduction; 1.1 Machine Translation; 1.1.1 Direct Machine Translation (DMT); 1.1.2 Rule-Based Machine Translation (RBMT); 1.1.3 Interlingua-Based Translation (IBT); 1.1.4 Knowledge-Based Machine Translation (KBMT); 1.1.5 Statistical-Based Machine Translation (SMT)
  • 1.1.6 Example-Based Machine Translation (EBMT)1.1.7 Hybrid-Based Machine Translation (HBMT); 1.1.8 Neural Machine Translation (NMT); 2 Literature Survey; 3 OpenNMT; 3.1 Dataset; 3.1.1 CFILT; 3.1.2 HindEncorp; 3.1.3 Tanzil Corp; 3.2 Methodology; 3.2.1 Normalization; 3.2.2 Tokenization; 3.2.3 Learning BPE; 3.2.4 Re-Tokenization; 3.2.5 Preprocessing; 3.2.6 Training; 3.2.7 Translation; 4 Results and Discussions; 5 Conclusions; References; 3 Comparative Study of Different Machine Learning Models for Breast Cancer Diagnosis; 1 Introduction; 2 Dataset Description; 3 Machine Learning Algorithms
  • 3.1 Principal Component Analysis3.2 Linear Discriminant Analysis; 3.3 Logistic Regression; 3.4 KNN Classifier; 3.5 Support Vector Machines; 3.5.1 Linear Kernel SVM; 3.5.2 Polynomial Kernel SVM; 3.5.3 Radial Kernel SVM; 3.6 Naive Bayes Classifier; 3.7 Decision Tree; 3.8 Random Forest; 3.9 Stacking; 4 Results; 5 Conclusion; References; 4 A PID Load Frequency Controller Design via Pole Placement and Approximate Frequency Response Matching; 1 Introduction; 2 System Model and Design Method; 3 Simulation Result; 3.1 The Generation Rate Constraint; 3.2 Multi-area Power System; 4 Conclusion
  • AcknowledgementsReferences; 5 Processor Scheduling in High-Performance Computing Environment Using MPI; 1 Introduction; 1.1 First-Come First-Serve (FCFS); 1.2 Shortest Job-First (SJF); 1.3 Genetic Algorithm (GA); 2 Literature Survey; 3 Research Methodology; 4 Results and Discussion; 5 Conclusion; References; 6 A Computer Vision-Based Gesture Recognition Using Hidden Markov Model; 1 Introduction; 1.1 Gesture Taxonomy; 1.2 Gesture Recognition Models; 1.2.1 3D Model-Based Algorithms; 1.2.2 Appearance-Based Models; 2 Literature Review; 3 Research Methodology; 4 Result and Discussion; 5 Conclusion