This book constitutes the refereed post-conference proceedings of the International Conference on Context-Aware Systems and Applications, held in October 2021. Due to COVID-19 pandemic the conference was held virtually.
The 25 revised full papers presented were carefully selected from 52 submissions. The papers cover a wide spectrum of modern approaches and techniques for smart computing systems and their applications.

lgrsnf/4534.pdf

Phan Cong Vinh; Abdur Rakib; Cong Vinh

Phan Cong-Vinh; Abdur Rakib; ICCASA

Phan Cong Vinh;Abdur Rakib;(eds.)

Sebastian Schriegel

ICCASA (Conference)

Springer International Publishing AG

Springer Nature Switzerland AG

publisher not identified

Lecture notes of the Institute for Computer Sciences, Social Informatics, and Telecommunications Engineering, 1st ed. 2021, Cham, 2021

Lecture notes of the Institute for Computer Sciences, Social Informatics, and Telecommunications Engineering, 409, Cham, 2021

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering Ser, Cham, 2022

Springer Nature, Cham, 2022

Switzerland, Switzerland

6, 20220106

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Preface
Organization
Contents
Adapt and Flex or Die: A Systems Approach to an Unhealthy Healthcare Supply
Abstract
1 Introduction
2 Healthcare Supply Chains
2.1 Background
2.2 Motivation
3 Unhealthy Healthcare Supply Chains
4 Foundational Elements of Adaptability and Flexibility
4.1 Visibility
4.2 Coordination
4.3 Collaboration
4.4 Education
4.5 Automation
4.6 Flexibility
4.7 Adaptability
5 Healthy Healthcare Supply Chains
6 Healthy Healthcare Supply Chains Systems
6.1 Collaboration Systems
6.2 Workflow Management Systems
6.3 Knowledge Management Systems and Learning Management Systems
6.4 Robotic Process Automation
6.5 Transaction Processing Systems
6.6 Decision Support Systems
7 Conclusion
References
Knowledge Management Practices: Innovation the Path to Organizational Performance
Abstract
1 Introduction
2 Research Methodology
3 Literature Collection
4 Descriptive Analysis
5 Findings
5.1 Concepts
5.2 Conceptual Structure
5.3 Intellectual Structure
5.4 Object-Oriented Analysis
6 Research Methodology Evaluation
7 Discussion
8 Conclusion
References
Predicting Humans’ Balance Disorder Based on Center of Gravity Using Support Vector Machine
Abstract
1 Introduction
2 Methodology
2.1 Data Preparation and Processing
2.2 Support Vector Machine Technique
3 Results and Discussion
4 Conclusion
References
Internet of Things Big Data Management and Analytic for Developing Smart City: A Survey and Future Studies
1 Introduction
2 A Survey of IoT Big Data Management and Analytic
2.1 A Survey of IoT Big Data Management
2.2 A Survey of IoT Big Data Analytic
3 Security Privacy and Energy Efficient
4 Future Studies
5 Conclusion
References
Ensemble Learning for Mining Opinions on Food Reviews
1 Introduction
2 Opinion Modeling
2.1 Opinion
2.2 Simplify Definition
2.3 Reason and Qualifier
2.4 Entity
2.5 Document
3 Opinion Discovery
4 Opinion Ensemble Learning
4.1 Quintuples Matrix
4.2 Decision Tree
4.3 Random Forests
4.4 Evaluation
5 Opinion Summarization
6 Experiment
6.1 Data Used
6.2 Preprocessing
6.3 Tool Used
6.4 Scenario 1. Food Product Aspects
6.5 Scenario 2. Food Product Holders or Time Reviewers
7 Conclusion
References
Hidden Pattern: Toward Decision Support Fuzzy Systems
1 Introduction
2 Preliminary: Linguistic Fuzzy Cognitive Map
3 Computational Fuzzy DSS
3.1 Computational Algorithm to Compute DSS
3.2 Applying Algorithm in Medical Decision Problem
4 Conclusion and Future Work
References
Applying Segmented Images by Louvain Method into Content-Based Image Retrieval
1 Introduction
2 Bag of Visual Words Model
2.1 Keypoint Detection
2.2 Keypoint Descriptors
2.3 Building Vocabulary
3 Our CBIR Architecture
3.1 Converting Images to Complex Networks
3.2 Detection Communities in Complex Networks
3.3 Extraction of Feature
3.4 Training Stage
3.5 Testing Stage
4 Experimental Results
4.1 Dataset
4.2 Results
5 Conclusion
References
An Effective Approach for Mining k-item High Utility Itemsets from Incremental Databases
1 Introduction
2 Related Works
3 Our Approach
3.1 Structure of the IU List
3.2 The Proposed Algorithm for Mining k-item HUIs
3.3 Discussion
4 Experiments
4.1 Experiment Setup
4.2 Performance of inc-k-HUI-Miner
4.3 Comparing to the State-of-the-Art Methods
5 Conclusions
References
Recover Realistic Faces from Sketches
Abstract
1 Introduction
2 Background and Related Work
2.1 Background
2.2 Related Work
3 Proposal Methods for Sketch-Image Translation
3.1 GANs Model Architecture
3.2 Pixel Loss
3.3 Context Loss
3.4 Total Loss
4 Experiment
4.1 Experiment Settings
4.2 Experimental Results
4.3 Perceptual Validation
4.4 Comparison with Other Methods
5 Conclusions
References
Region of Interest Selection on Plant Disease
1 Introduction
2 Plant Disease
3 Plant Disease Classification
3.1 Pre-processing
3.2 Segmentation
3.3 Classification
4 Experiment
4.1 Data Used
4.2 Tools
4.3 Model Used
4.4 Scenario 1: Transfer Learning with InceptionV3
4.5 Scenario 2: Transfer Learning with DenseNet
4.6 Scenario 3: Transfer Learning with InceptionResnetV2
4.7 Scenario 4: Transfer Learning with Resnet50
4.8 Scenario 5: Transfer Learning with VGG16
4.9 Scenario 6: Transfer Learning with VGG19
4.10 Discussion
5 Conclusion
References
Memory-Constrained Context-Aware Reasoning
1 Introduction
2 Related Work
3 Smart Space System Modelling
4 Multi-agent Rule-Based Reasoning Systems
5 Management of Working Memory
5.1 Working Memory Updating
5.2 Estimating Size of the Working Memory
5.3 An Example
6 Discussion and Future Work
References
Segmentation-Based Methods for Top-k Discords Detection in Static and Streaming Time Series Under Euclidean Distance
Abstract
1 Introduction
2 Background and Related Works
2.1 Background
2.2 Related Works on Anomaly Detection in Static Time Series
2.3 Related Works on Anomaly Detection in Streaming Time Series
3 Supporting Techniques
3.1 Accelerating Euclidean Distance Calculation in Clustering Algorithm
3.2 A-Leader Clustering Algorithm
3.3 EP-ALeader
4 Proposed Methods
4.1 TopK-EP-ALeader for Finding Top k-discords in Static Time Series
4.2 TopK-EP-ALeader-S for Finding Top k-discords in Streaming Time Series
4.2.1 The Circular Buffer
4.2.2 The Delayed Update Policy
4.2.3 TopK-EP-ALeader-S Algorithm
5 Empirical Evaluation
5.1 Experiment 1: Evaluation of TopK-EP-ALeader
5.2 Experiment 2: Evaluation of TopK-EP-ALeader-S
5.2.1 Effectiveness of TopK-EP-ALeader-S
5.2.2 Efficiency of TopK-EP-ALeader-S
6 Conclusions and Future Works
References
Hardware/Software Co-design for Convolutional Neural Networks Acceleration: A Survey and Open Issues
1 Introduction
2 Preliminary
2.1 Convolutional Neural Networks
2.2 Hardware Software Co-design
3 CNN Accelerations with the HW/SW Co-design Approach
3.1 FPGA-Based Acceleration
3.2 ASIC-Based Acceleration
4 Open Issues for FPGA-Based Hardware/Software Co-design
5 Conclusion
References
Image Segmentation and Transfer Learning Approach for Skin Classification
1 Introduction
2 Skin Lesions
3 Skin Lesions Classification with Transfer Learning
3.1 Segmentation with Superpixels
3.2 Transfer Learning with MobileNet
3.3 Evaluation
4 Processing
5 Experiment
5.1 Dataset
5.2 Tools
5.3 Training and Test
5.4 Scenario 1: Skin Cancer Classification (3 Classes)
5.5 Scenario 2: Skin Lesions Classification (8 Classes)
5.6 Scenario 3: Changing Learning Rate
5.7 Discussion
6 Conclusion
References
Blockchain and Identity Management
Abstract
1 Introduction
2 Literature Review
2.1 Search String
2.2 Screening Process
2.3 Result
3 Analysis of Existing Solutions
3.1 IoT
3.2 Healthcare
3.3 Cyber-Identity
4 Discussion and Conclusion
References
Binary Classification for Lung Nodule Based on Channel Attention Mechanism
Abstract
1 Introduction
2 Background
2.1 Attention Mechanism with SE Block
2.2 Revisiting ASS Model
3 Proposal Nodule Detection System
3.1 Convert World Coordinates into Voxel Coordinates
3.2 Candidate Box
3.3 Data Augmentation
4 Experimental Results
4.1 Datasets
4.2 ASS_w50 and ASS_w100
4.3 Environment for Experiments
4.4 Evaluation
5 Experimental Results
6 Conclusions
Acknowledgements
References
Design Cloud-Fog Systems Using Heuristic Solutions on the Energy of IoT Devices
Abstract
1 Introduction
2 Related Work
3 Proposed Heuristic Algorithm
4 Simulation Results
5 Conclusion
References
An International Overview and Meta-analysis for Using the Mechanical Ventilation in the Medical Treatment
Abstract
1 Introduction
2 Materials and Methods
2.1 Purpose
2.2 Materials
2.3 Target Readers
3 Results of Research
4 Conclusion
Acknowledgements
References
Blockchain-Based Governance in Fractional Ownership: Mitigating Zero-Sum Games Through Decentralized Autonomous Agents
Abstract
1 Introduction
2 Literature Review
2.1 Real Estate Transactional Games
2.2 Blockchain-Based Governance
3 Design Science Research Methodology
4 Conceptual Artifact
5 Proof of Concept
5.1 Search Game Experimental Design
5.2 Bargaining Game Experimental Design
5.3 Trust Game Experimental Design
5.4 Execution
5.5 Findings
6 System Artifact
7 Discussion and Evaluation Plan
8 Conclusion
References
A Dynamic Programming Approach for Time Series Discord Detection
Abstract
1 Introduction
2 Background
2.1 Definitions
2.2 Brute-Force Algorithm
3 A Dynamic Programming Approach for Time Series Discord Detection
3.1 The Main Idea
3.2 Dynamic Programming Algorithm for Discord Detection
4 Empirical Evaluation
4.1 Datasets and Parameter Setting
4.2 Experimental Results
4.3 Discussion
5 Conclusion and Future Work
References
Recent Researches on Human-Aware Navigation for Autonomous System in the Dynamic Environment: An International Survey
Abstract
1 Introduction
2 Historical Background
3 Challenges and Opportunities
4 Toward Modern Human-Aware Navigation
4.1 Observing Human’s Reactions
4.2 User’s Attitude and Expectations
4.3 Framework of Naturally and Comfortably Behaviors in Social Interaction
4.4 Data Fusion Approach
5 Conclusion
Acknowledgements
References
Recommendation with Subjective Tendency Based on Statistical Implicative Analysis
1 Introduction
2 Subjective Tendency
2.1 Association Rule
2.2 Statistical Implicative Analysis
2.3 Interestingness Measure
2.4 Tendency Evaluating
3 Subjective Tendency Recommendation
3.1 Rating Matrix
3.2 Recommendation
3.3 Evaluation
4 Experiment
4.1 Dataset
4.2 Tool
4.3 Scenario 1: Recommendation with Independence Tendency
4.4 Scenario 2: Recommendation with Dependence Tendency
4.5 Scenario 3: Recommendation with Equilibrium Tendency
5 Conclusion
References
Applying Convolutional Neural Network for Detecting Highlight Football Events
Abstract
1 Introduction
2 Background and Related Work
2.1 Background
2.2 Related Work
3 Proposal Methods for Detecting Highlight Football Events
3.1 CNN Model Architecture
3.2 CNN Model
3.3 Adaptive Threshold
3.4 Wrongly-Validated Dataset Re-training
4 Experimental Results
4.1 Dataset
4.2 Environment for Experiments
4.3 CNN Components Accuracy Evaluation
4.4 Experimental Results
4.5 Discussion
5 Conclusions
Acknowledgment
References
Can Gaming be the Bad Escapism?
Abstract
1 Escapism Revisited
2 Gaming: The Route to Escape the Reality
3 Conclusion
References
Applying CoKriging Method for Air Pollution Prediction PM10 in Binh Duong Province
Abstract
1 Introduction
2 Materials and Methods
3 Results and Discussions
4 Conclusion
Acknowledgment
References
Author Index

This book constitutes the thoroughly refereed proceedings of the first International Conference on Context-Aware Systems and Applications, ICCASA 2012, held in Ho Chi Minh City, Vietnam, in November 2012. The 34 revised full papers presented were carefully selected and reviewed from over 100 submissions. The papers cover a wide spectrum of issues in the area of Context-Aware Systems (CAS). CAS are going to shape networked computing systems of the future

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Erscheinungsdatum: 07.01.2022

2022-04-08