Description
Book SynopsisThis 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.
Table of ContentsBiometrics 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 Capacity of 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.
