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E-raamat: Computer Information Systems and Industrial Management: 22nd International Conference, CISIM 2023, Tokyo, Japan, September 22-24, 2023, Proceedings

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This book constitutes the proceedings of the 22nd International Conference on Computer Information Systems and Industrial Management, CISIM 2023, held in Tokio, Japan, during September 22-24, 2023.





The 36 papers presented in this book were carefully reviewed and selected from 77 submissions. They were organized in topical sections as follows: biometrics and pattern recognition applications; computer information systems and security; industrial management and other applications; machine learning and artificial neural networks; modelling and optimization; wellbeing and affective engineering; and machine learning using biometric data and kansei data.
Biometrics and Pattern Recognition Applications.- Proposal of Earprint
Authentication System Considering Pressing Force.- Performance Improvement of
Person Verification Using Evoked EEG by Imperceptible Vibratory
Stimulation.- Biometric gait analysis using wrist-mounted wearable
sensors.- Finger minutiae extraction based on the use of YOLO-V5.- Computer
Information Systems and Security.- Towards a Blockchain, smart contract, and
NFT based medical waste classification system: a case study in
Vietnam.- Towards a Blockchain, smart contract, and NFT based waste treatment
system for developing countries: a case study in Vietnam.- A new file format
for binarized images.- A new approach to the architecture of hybrid and
multilayer steganographic methods.- A Game-based Approach for Mitigating the
Sybil Attacks on Blockchain Applications.- Industrial Management and other
Applications.- Dynamic Adaptive Capacityof metalworking companies in
Barranquilla Colombia: analysis from the export process in the 4.0 era.- An
Ecological Unmanned Hot-Air Balloon for the Agricultural Lands
Inspection.- SE-Coins System: Software for Supporting Gamificationbased
Educational Processes.- The Effects Of Buyer-Supplier Collaboration On Supply
Chain Performance: A Study In The Brazilian Electronics Sector.- Relationship
between degree of appropriation of ICT and learning styles of teachers in
training.- Efficacy of Flipped Learning in Engineering Education of
India.- Hybrid Recommender System Model for Tourism Industry Competitiveness
Increment.- Machine Learning and Artificial Neural Networks.- Insect
detection on high-resolution images using Deep Learning.- Grading diabetic
retinopathy using transfer learning-based convolutional neural
networks.- Evaluating techniques based on supervised learning methods in
Casas Kyoto dataset for Human Activity Recognition.- A Novel Self-Supervised
Representation Learning Model for an Open-set Speaker Recognition.- How to
boost Machine Learning Network Intrusion Detection Performance with Encoding
Schemes.- Neural Networks and Saliency Maps in Diabetic Retinopathy
Diagnosis.- Towards Rough Set Theory for Outliers Detection in Questionnaire
Data.- Modelling and Optimization.- Optimization of Bread Production using
Neuro-Fuzzy Modelling.- Applications of graph topology in manufacturing of
anti cancer drugs.- An Approach Toward Congestion Management for Improved
Emergency Vehicle Management in Intelligent Urban Traffic Network.- Proposal
of an algorithm for solving the component assignment problem of an adjacent
triangle-(m, n):F triangular lattice system.- Music Recommender System
Considering the Variations in Music Selection Criterion Using an Interactive
Genetic Algorithm.- Fault detection of Moore finite state machines by
structural models.- Investigation of Subjective Impression Perceived from
Agent that Expresses Multiple Opinions Simultaneously.- ICBAKE 2023
Workshop.- Wellbeing and Affective Engineering.- Facial Expression Estimation
Using Convolutional Neural Network with Upper and Lower Segmented Face
Images.- Two-Step Classification Method for Sadness and Fear Facial
Expression Classification Using Facial Feature Points and FACS.- Positiveness
calculation of Japanese POPS using music features extracted from acoustic
data.- Machine Learning Using Biometric Data and Kansei Data.- Classification
of Programming Logic Understanding Level using Mouse Tracking Heatmaps and
Machine Learning Techniques.- Investigating the Use of Machine Learning
Methods for Levels of Sense of Presence Classification based on Eye Tracking
Data.- Personalized Beverage Blending System Using Interactive Genetic
Algorithm and its Search Analysis.