Note: Intro -- Welcome Message -- Organization -- IBICA-WICT 2019 Organization -- Chief Patrons -- Patrons -- Honorary Chairs -- General Chairs -- Program Chairs -- Web Chair -- Publication Chair -- Publicity Chairs -- IBICA Program Committee -- IBICA Additional Reviewers -- WICT Program Committee -- WICT Additional Reviewers -- Contents -- Towards the Speed Enhancement of Association Rule Mining Algorithm for Intrusion Detection System -- 1 Introduction -- 2 Overview of Intrusion Detection System -- 3 Related Work -- 4 Proposed Methodology -- 4.1 Dataset -- 4.2 Technology Used for Experimental Purpose -- 4.3 Experimental Approach -- 4.4 Experimental Result -- 5 Analysis of Result and Discussion -- 6 Conclusion -- References -- Image Retrieval Using Bat Optimization and Image Entropy -- 1 Introduction -- 2 Literature Review -- 3 Proposed Methodology -- 3.1 Entropy -- 3.2 Bat Algorithm -- 4 Experimental Observations and Discussions -- 5 Conclusion -- References -- Logistic Regression on Hadoop Using PySpark -- 1 Introduction -- 2 Logistic Regression -- 2.1 Computation of Cost Function and Its Gradient -- 2.2 Optimization of the Cost Function -- 3 Implementation -- 4 Results -- 4.1 Comparing Test Performance -- 5 Conclusion -- References -- Analysis of Pre-processing Techniques for Odia Character Recognition -- 1 Introduction -- 1.1 Optical Character Recognition (OCR) -- 2 Odia Character Recognition -- 3 Factors Affecting the Quality of Odia Character Recognition and Significance of Pre-processing -- 3.1 Types of Pre-processing Techniques -- 4 Analysis of Different Pre-processing Techniques -- 5 Conclusions -- References -- Cluster-Based Under-Sampling Using Farthest Neighbour Technique for Imbalanced Datasets -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 4 Experimental and Simulation Results -- 4.1 Results -- 5 Conclusion. , References -- Vehicle Detection and Classification: A Review -- 1 Introduction -- 2 Methods Used for Vehicle Detection -- 2.1 Motion-Based Features -- 2.2 Appearance Based Features -- 2.3 Neural Networks -- 3 Methods Used for Vehicle Classification -- 3.1 Geometry-Based Approaches -- 3.2 Appearance-Based Approaches -- 3.3 Approaches Based on Texture -- 3.4 Mixed Approaches -- 4 Database -- 5 Conclusion -- References -- Methods for Automatic Gait Recognition: A Review -- 1 Introduction -- 2 Important Steps in a Gait Recognition System -- 2.1 Feature Extraction -- 2.2 Feature Selection -- 2.3 Classification -- 3 Model-Based Methods -- 4 Model-Free Methods -- 4.1 Gait Energy Image (GEI) -- 5 Gait Recognition Challenges -- 6 Existing Gait Databases -- 7 Conclusion -- References -- Comparative Performance Exploration and Prediction of Fibrosis, Malign Lymph, Metastases, Normal Lymphogram Using Machine Learning Method -- 1 Introduction -- 2 Flow Chart of the System -- 3 Description of the Dataset -- 4 Result Analysis -- 4.1 Evaluation and Predictions Results -- 4.2 Classification Tree -- 4.3 Distribution Plot -- 4.4 Scatter Plot for Lymphogram -- 4.5 Box Plot Analysis -- 5 Conclusion -- References -- Decision Forest Classifier with Flower Search Optimization Algorithm for Efficient Detection of BHP Flooding Attacks in Optical Burst Switching Network -- 1 Introduction -- 2 Related Work -- 3 Materials and Methods -- 3.1 Datasets -- 3.2 Methodologies Used -- 4 Experiments -- 5 Results and Discussion -- 6 Conclusion and Future Scope -- References -- Review and Implementation of 1-Bit Adder in CMOS and Hybrid Structures -- 1 Introduction -- 2 Review of Full Adders -- 2.1 Standard CMOS Full Adder [1] -- 2.2 Hybrid Full Adder [2] -- 3 Implementation of Full Adder -- 3.1 XNOR Cell -- 3.2 4-T Cell -- 3.3 6-T Cell (Carry) -- 3.4 6-T Cell (Sum) -- 3.5 Full Adder. , 4 Performance Analysis -- 5 Conclusion -- References -- Design and Analysis of LOL-P Textile Antenna -- 1 Introduction -- 2 Proposed Design -- 2.1 Analysis of Circular Textile Antenna -- 3 Results and Discussions -- 3.1 Optimization Results -- 3.2 Analysis of Optimized Steps -- 3.3 Comparison Results of Various Substrate Materials -- 3.4 Fabrication Results -- 4 Conclusions and Future Scope -- References -- Analytical Study of Scalability in Coastal Communication Using Hybridization of Mobile Ad-hoc Network: An Assessment to Coastal Bed of Odisha -- 1 Introduction -- 1.1 Vulnerability of the Odisha Coastal Zone -- 1.2 Marine and Coastal Lines of Odisha -- 1.3 Objective -- 2 Literature Survey -- 2.1 Disaster Response System -- 2.2 Pre-disaster Communication -- 2.3 Post-disaster Communication -- 3 MANET in Rescue Communication, the Most Challenging Trend -- 3.1 Node Based Communications System -- 3.2 Cellular Based Communications System -- 4 Propose Method of Communication -- 4.1 Scalable Node Selection Method -- 4.2 Optimized Geographical Multicast Routing Protocol (OGMRP) -- 5 Methodology -- 6 Performance Evaluation -- 7 Simulation Analysis -- 8 Conclusion -- References -- Effect of Environmental and Occupational Exposures on Human Telomere Length and Aging: A Review -- 1 Introduction -- 1.1 Environmental and Occupational Exposures -- 2 What Are Telomeres? -- 3 Telomere Length Measurement -- 4 Telomere Length: A Biomarker of Aging -- 5 Association Between Telomere Length Shortening and Aging During Environmental or Occupational Exposures: Overview -- 6 Future Directions -- References -- A Review on VLSI Implementation in Biomedical Application -- 1 Introduction -- 2 Literature Review -- 3 Results and Comparison -- 4 Conclusion -- References. , Comparative Analysis of a Dispersion Compensating Fiber Optic Link Using FBG Based on Different Grating Length and Extinction Ratio for Long Haul Communication -- 1 Introduction -- 2 System Description and Simulation Design -- 3 Result and Analysis -- 4 Conclusion -- References -- Unsupervised Learning Method for Mineral Identification from Hyperspectral Data -- 1 Introduction -- 2 Related Work -- 3 HSI Model -- 4 Classification Approach -- 5 Possibilistic Fuzzy C-Means -- 6 Experiment and Result -- 7 Conclusion and Future Work -- References -- Short Term Load Forecasting Using Empirical Mode Decomposition (EMD), Particle Swarm Optimization (PSO) and Adaptive Network-Based Fuzzy Interference Systems (ANFIS) -- 1 Introduction -- 2 Proposed Work -- 3 IMF Formation in Decomposition of EMD -- 4 Working of ANFIS -- 5 Results and Discussion -- 6 Conclusion -- Appendix -- References -- Energy Conservation Perspective for Recharging Cell Phone Battery Utilizing Speech Through Piezoelectric System -- 1 Introduction -- 2 Existing Background -- 3 Basic Theory of Concept -- 4 Structural Modelling of System -- 4.1 Nano Generator -- 4.2 Piezoelectric Substrate -- 4.3 ZnO Electrodes -- 5 Methodology and Design -- 6 Analysis and Outcomes -- 7 Conclusions -- References -- A Progressive Method Based Approach to Understand Sleep Disorders in the Adult Healthy Population -- 1 Introduction -- 2 Process -- 2.1 Approaching Healthy Adults -- 2.2 Subject Inclusion and Exclusion Criteria -- 2.3 Meeting Subject -- 3 Screening Questionnaire -- 3.1 The Epworth Sleepiness Scale -- 3.2 Sleep Quiz -- 4 Screening Tools -- 4.1 Actigraphy and Sleep Diary -- 5 Administration of Neuropsychological Test Battery -- 5.1 Psychomotor Vigilance Test (PVT) -- 5.2 Forward Digit Span Test -- 5.3 IOWA Gambling Task -- 5.4 Wisconsin Card Sorting Task (WCST) -- 5.5 Tower of London Test (TOL). , 5.6 Stroop Test -- 5.7 Auditory Verbal Learning Test -- 6 Nocturnal Polysomnogram -- 7 Productivity Scale -- 8 A Case Study on the Indian Population -- 8.1 Utilization of Neuropsychology Test Battery -- 9 Conclusion -- References -- Semantic-Based Process Mining: A Conceptual Model Analysis and Framework -- 1 Introduction -- 2 Preliminaries -- 2.1 Semantic Web Search Technologies (SWS) -- 2.2 Data Labelling and Linking (Integration) -- 3 Systematic Mapping Study: Main Application Areas of the Process Mining and Semantic Modelling Tools/Methods -- 4 SPM-Based Framework and Design -- 5 Experimentation Analysis and Results -- 6 Discussion -- 7 Conclusion -- References -- Educational Process Intelligence: A Process Mining Approach and Model Analysis -- 1 Introduction -- 2 Related Works -- 3 Educational Process Intelligence (EPI) Model -- 4 Formalization of the EPI Algorithm -- 5 Analysis and Case Study Implementation -- 6 Discussion -- 7 Conclusion -- References -- Design and Development of a Mobile App as a Learning Strategy in Engineering Education -- 1 Introduction -- 1.1 Innovation in Engineering Education -- 1.2 Educational Innovation: Integration of Technology in the Classroom -- 2 A Novel Approach to Learn Thermodynamics -- 2.1 Thermodynamics Course in Engineering Curricula -- 2.2 Case of Study: Developing a Mobile App as an OER by Undergrad Engineering Students -- 2.3 Design and Implementation of the Mobile App -- 2.4 Results: Academic Performance of the Group -- 3 Conclusions -- References -- Beyond Things: A Systematic Study of Internet of Everything -- 1 Introduction -- 1.1 Internet of Everything: Connecting the Unconnected Things and People -- 1.2 Internet of Everything Ecosystem: Role of Big Data and Cloud -- 1.3 Role of Internet of Things in Internet of Everything Ecosystem -- 2 Related Work -- 3 Motivation. , 4 Importance of Internet of Everything (Over Internet of Things) in 21st century.

Note: Intro -- Welcome Message -- HIS-IAS 2019 Organization -- Chief Patron -- Patrons -- Advisors -- General Chairs -- Program Chairs -- Organizing Chairs -- Web Master -- Program Committee -- Additional Reviewers -- Contents -- Dimension Reduction with Extraction Methods (Principal Component Analysis - Self Organizing Map - Isometric Mapping) in Indonesian Language Text Documents Clustering -- 1 Introduction -- 2 Research Methodologies -- 2.1 Data -- 2.2 Clustering by k-Means with an Optimal k Value -- 2.3 Dimension Reduction Using PCA -- 2.4 Dimension Reduction Using SOM -- 2.5 Dimension Reduction Using Isomap -- 3 Results and Discussions -- 4 Conclusion -- References -- Reducing Data Volume in Instance Based Learning -- 1 Introduction -- 2 Some Considerations About IBL Algorithms -- 3 IBL Algorithms with Data Reduction -- 4 Data, Methodology, Experiments and Results -- 5 Conclusions -- References -- State Estimation of Moving Vehicle Using Extended Kalman Filter: A Cyber Physical Aspect -- 1 Introduction -- 2 Problem Formulation -- 2.1 Modelling of the Plant -- 2.2 Vehicular Network Model -- 3 Methodology -- 4 Results -- 5 Conclusions -- References -- ADAL System: Aspect Detection for Arabic Language -- 1 Introduction -- 2 Aspect Extraction Problems -- 3 Related Work -- 4 Proposed Method -- 5 Experiments and Results -- 5.1 Data -- 5.2 System's Outputs -- 5.3 Experimentation -- 6 Conclusion -- References -- Modelling, Analysis and Simulation of a Patient Admission Problem: A Social Network Approach -- 1 Introduction -- 2 Case Study Description -- 2.1 Data Collection -- 3 Model Formulation -- 3.1 Mathematical Model Representation -- 4 Social Network Analysis Method and Flexsim Healthcare Simulation System -- 4.1 Modelling of Collaborative Networks -- 4.2 Social Network Analysis for Collaborative Networks -- 5 Results and Discussion. , 5.1 Validation of SNAM by FlexSim Healthcare Simulation -- 6 Conclusions and Future Work -- References -- Short-Term Load Forecasting: An Intelligent Approach Based on Recurrent Neural Network -- 1 Introduction -- 2 Related Works -- 3 An Overview of Recurrent Neural Networks -- 3.1 Recurrent Neural Networks (RNNs) -- 3.2 RNN with Long-Short-Term Memory (LSTM) -- 4 Hourly Peak Load Forecasting: Proposed Approach -- 4.1 Data Pre-processing -- 4.2 RNN-LSTM Analysis -- 4.3 Knowledge-Driven Tuning of Forecast Values -- 5 Experimental Evaluation -- 5.1 Study Area and Dataset -- 5.2 Experimental Setup -- 5.3 Results and Discussions -- 6 Conclusions -- References -- Design and Analysis of Anti-windup Techniques for Anti-lock Braking System -- 1 Introduction -- 2 Problem Formulation -- 2.1 Modelling of the Plant ch7Nouillant2002 -- 3 Methodology -- 4 Results -- 5 Conclusions -- References -- Wind-Power Intra-day Statistical Predictions Using Sum PDE Models of Polynomial Networks Combining the PDE Decomposition with Operational Calculus Transforms -- 1 Introduction -- 2 Intra-day Multi-step Wind Power Prediction -- 3 A Polynomial PDE Substitution Using Operational Calculus -- 4 PDE Decomposition Using Backward Differential Network -- 5 Prediction Experiments Using the Estimated Daily Data Periods -- 6 Conclusions -- References -- Heterogeneous Engineering in Intelligent Logistics -- 1 Introduction -- 2 ANT and Multi-agent Systems -- 3 Heterogeneous Engineering as an Assembly Tool in Intelligent Logistics -- 3.1 Intelligent Logistics Systems as Networks of Heterogeneous Actors -- 3.2 Intelligent Logistics Architectures -- 4 Conclusions -- References -- Extracting Unknown Repeated Pattern in Tiled Images -- 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Auto-Correlation of Image -- 3.2 Sliding a Template Strip and Comparing. , 3.3 Proposed Method: Cyclic Bitwise XOR-ing -- 4 Results and Analysis -- 4.1 Tiled and Non Tiled Image Classification -- 4.2 Horizontal Lining Pattern -- 4.3 Vertical Lining Pattern -- 4.4 Validation of Algorithm -- 5 Conclusion -- References -- Convolutional Deep Learning Network for Handwritten Arabic Script Recognition -- 1 Introduction and Related Works -- 2 Deep Models for Handwritten Recognition -- 2.1 Restricted Boltzmann Machine (RBM) -- 2.2 Convolutional Restricted Boltzmann Machine (CRBM) -- 2.3 Regularization Methods -- 2.4 Model Settings -- 3 Experiments with Proposed Model -- 3.1 Dataset Description and Experimental Setting -- 3.2 Experimental Results and Comparison -- 4 Discussion -- 5 Conclusion -- References -- Diversity in Recommendation System: A Cluster Based Approach -- 1 Introduction -- 2 Related Work -- 2.1 Diversity in Recommendation System: State of Art -- 3 Proposed Approach -- 3.1 Diversification Algorithm -- 4 Experiment and Results -- 5 Conclusion -- References -- Contribution on Arabic Handwriting Recognition Using Deep Neural Network -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 3.1 Feature Extraction -- 3.2 Sequence Modeling -- 4 Experiments and Discussion -- 4.1 KHATT Database -- 4.2 System Settings -- 4.3 Results and Discussion -- 5 Conclusion -- References -- Analyzing and Enhancing Processing Speed of K-Medoid Algorithm Using Efficient Large Scale Processing Frameworks -- 1 Introduction -- 2 Related Work -- 3 Spark Architecture -- 3.1 Resilient Distributed Dataset (RDD) -- 3.2 Distributed Acyclic Graph (DAG) -- 4 Benefits of Spark over Hadoop -- 5 Proposed Modified K-Medoid++ Algorithm -- 5.1 Benefits of New Modified K-Medoid++ Algorithm over K-Medoid Algorithm -- 5.2 Flow Diagram of New Modified K-Medoid++ Algorithm -- 6 Experimental Analysis -- 7 Conclusion and Future Work -- References. , Multiple Criteria Fake Reviews Detection Based on Spammers' Indicators Within the Belief Function Theory -- 1 Introduction -- 2 Belief Function Theory -- 3 Multiple Criteria Fake Reviews Detection Based on Spammers' Indicators Within the Belief Function Theory -- 3.1 Modeling the Reviewer's Opinion Trustworthiness -- 3.2 Modeling the Reviewer Spamicity -- 3.3 Distinguishing Between the Fake and the Genuine Reviews -- 4 Experimentation and Results -- 4.1 Experimentation Tools -- 4.2 Experimental Results -- 5 Conclusion -- References -- Data Clustering Using Environmental Adaptation Method -- 1 Introduction -- 2 Preliminaries -- 2.1 Clustering -- 3 Description of Proposed Approach -- 4 Experimental Setup and Datasets -- 5 Result Analysis -- 6 Conclusion -- References -- Soft Computing, Data Mining, and Machine Learning Approaches in Detection of Heart Disease: A Review -- 1 Introduction -- 2 Literature Review -- 3 Discussion and Future Direction -- 4 Conclusion -- References -- A Novel CAD System for Breast DCE-MRI Based on Textural Analysis Using Several Machine Learning Methods -- 1 Introduction and Related Work -- 2 Proposed MRI-Based CAD System -- 2.1 Feature Extraction and Fusion -- 2.2 Feature Selection -- 2.3 Machine Learning Classifiers-Based Classification Model -- 3 Experimental Results and Evaluation -- 3.1 Materials -- 3.2 Experimental Setting and Evaluation Metrics -- 3.3 Experimental Results -- 4 Conclusion and Future Directions -- References -- An Adversarial Learning Mechanism for Dealing with the Class-Imbalance Problem in Land-Cover Classification -- 1 Introduction -- 2 Proposed Methodology -- 2.1 Generation of Artificial Samples Using Adversarial Auto-Encoder -- 2.2 A Semi-supervised Algorithm for Choosing Synthetic Samples to Be Included in the Balanced Training Set -- 3 Experimental Results -- 3.1 Dataset Description. , 3.2 Experimental Details and Analysis of Results -- 4 Conclusion -- References -- An Integrated Fuzzy ANP-TOPSIS Approach to Rank and Assess E-Commerce Web Sites -- 1 Introduction -- 2 Related Works -- 3 The Proposed Approach -- 3.1 Criteria Identification -- 3.2 Criteria Weights Distribution Using Fuzzy ANP -- 3.3 Ranking and Assessment Using Fuzzy TOPSIS -- 4 Application of the Fuzzy Integrated ANP-TOPSIS Approach -- 5 Analysis and Discussion of Results -- 6 Conclusion -- Appendix -- References -- Implementation of Block Chain Technology in Public Distribution System -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 Working of Block Chain -- 3.2 Existing System Working -- 3.3 Proposed System -- 4 Working -- 5 Conclusion -- References -- Chaotic Salp Swarm Optimization Using SVM for Class Imbalance Problems -- 1 Introduction -- 2 Salp Swarm Optimization (SSA) -- 3 Chaotic Map -- 4 Performance Metrics for Skewed Data Distribution -- 5 CSSA: The Working Model -- 5.1 Feature Selection Phase Using Chaotic Salp Swarm Algorithm (CSSA) -- 5.2 Classification Phase -- 6 Result and Analysis -- 6.1 Data Set -- 6.2 Results -- 7 Conclusion -- References -- Three-Layer Security for Password Protection Using RDH, AES and ECC -- 1 Introduction -- 2 Literature Survey -- 3 Proposed Method -- 3.1 Encrypting Key of AES Using ECC -- 3.2 Hiding the Encrypted Data in a JPEG Image Using Reversible Data Hiding -- 4 Methodology -- 5 Results -- 5.1 Time Complexity of RDH -- 5.2 Time Complexity of AES -- 5.3 Time Complexity of ECC -- 5.4 Time Complexity of the Proposed Algorithm -- 6 Tabulation of Results -- 7 Conclusion -- References -- Clothing Classification Using Deep CNN Architecture Based on Transfer Learning -- 1 Introduction -- 2 Proposed Method -- 2.1 Inception-v3 Architecture -- 2.2 Transfer Learning -- 3 Experiments and Results -- 3.1 Dataset. , 3.2 Experimental Settings.