2022 7th International Conference on Business and Industrial Research (ICBIR)最新文献_第6页

A Digital Watermarking Algorithm Based on Digital Wavelet and Singular Value Division 基于数字小波和奇异值分割的数字水印算法

2022 7th International Conference on Business and Industrial Research (ICBIR) Pub Date : 2022-05-19 DOI: 10.1109/ICBIR54589.2022.9786442

Dan Liu, Jonathan M. Caballero, Ronaldo Juanatas

引用次数: 0

Real-Time Thai Speech Emotion Recognition With Speech Enhancement Using Time-Domain Contrastive Predictive Coding and Conv-Tasnet 基于时域对比预测编码和反tasnet的实时泰语情感识别

2022 7th International Conference on Business and Industrial Research (ICBIR) Pub Date : 2022-05-19 DOI: 10.1109/ICBIR54589.2022.9786444

Sumeth Yuenyong, Narit Hnoohom, K. Wongpatikaseree, Sattaya Singkul

引用次数: 0

Multi-Label Classification of Jasmine Rice Germination Using Deep Neural Network 基于深度神经网络的茉莉萌发多标签分类

2022 7th International Conference on Business and Industrial Research (ICBIR) Pub Date : 2022-05-19 DOI: 10.1109/ICBIR54589.2022.9786383

Somsawut Nindam, T. Manmai, Hyo Jong Lee

引用次数: 1

Students’ Opinions on Online Learning Management during the COVID-19 Situation 新冠肺炎疫情下学生在线学习管理心得体会

2022 7th International Conference on Business and Industrial Research (ICBIR) Pub Date : 2022-05-19 DOI: 10.1109/ICBIR54589.2022.9786516

Keerati Thongsonkleeb, Suwatana Daengsubha, Nuntiporn Boonsieng

{"title":"Students’ Opinions on Online Learning Management during the COVID-19 Situation","authors":"Keerati Thongsonkleeb, Suwatana Daengsubha, Nuntiporn Boonsieng","doi":"10.1109/ICBIR54589.2022.9786516","DOIUrl":"https://doi.org/10.1109/ICBIR54589.2022.9786516","url":null,"abstract":"This study was to explore students’ opinions on online learning management during the COVID-19 situation and additional suggestions in order to improve students’ learning outcomes for the next semester. The population of this study was 555 second year students who enrolled in the TOEIC Preparation course in the second semester of 2021 academic year. The samples in this study were 150 students derived through Simple Random Sampling Technique. Research instrument used in this study was a questionnaire. Data analysis was percentage, mean, standard deviation, and content analysis. The research findings were: 1) students had the highest opinion at a high rank in materials, followed by accessibility and assessment; and 2) the additional suggestions were listed as quizzes and games applications should be used as the classroom activities; more listening activities and practices should be concerned; vocabulary exercises are important for students to review the vocabulary in the TOEIC test; and online applications for practice TOEIC reading should be used in the classroom learning.","PeriodicalId":216904,"journal":{"name":"2022 7th International Conference on Business and Industrial Research (ICBIR)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129272379","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An Exploratory Study on the Impact of RPA (Robotic Process Automation) Implementation on Behavioral Attitudes and Intentions within Organizations 机器人过程自动化实施对组织内行为态度和意图影响的探索性研究

2022 7th International Conference on Business and Industrial Research (ICBIR) Pub Date : 2022-05-19 DOI: 10.1109/ICBIR54589.2022.9786504

Nunnaphat Reungyu, Phuwadon Waiyanet

{"title":"An Exploratory Study on the Impact of RPA (Robotic Process Automation) Implementation on Behavioral Attitudes and Intentions within Organizations","authors":"Nunnaphat Reungyu, Phuwadon Waiyanet","doi":"10.1109/ICBIR54589.2022.9786504","DOIUrl":"https://doi.org/10.1109/ICBIR54589.2022.9786504","url":null,"abstract":"RPA is a business process automation software that is able to perform assigned tasks efficiently. It is easy to control and can reduce human errors, promoting RPA has greater automated roles incompatible and humane work, leading to a number of organizations have turned their attention to RPA. Therefore, this project aims to survey the RPA users and their attitudes on implementation. To examine the average of the statically behavioral impacted factors of the potential influence of RPA in organizational implementation and propose guidelines for applying RPA to organizations in the future.This project applies a questionnaire as a tool to collect data. There was a sample group of businesses that applied RPA in the organization in Thailand. 640 samples the data analysis was done by quantity method, frequency, percentage (%), mean and standard deviation. By using the ready-made statistical program SPSS to analyze the values.The results show that the sample is likely to continue to adopt RPA and it is expected that organizations will have higher application of RPA technology in the future.","PeriodicalId":216904,"journal":{"name":"2022 7th International Conference on Business and Industrial Research (ICBIR)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115197860","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Conceptual Model of Green Supplier Selection in the Manufacturing Industry Using AHP and TOPSIS Methods 基于AHP和TOPSIS方法的制造业绿色供应商选择概念模型

2022 7th International Conference on Business and Industrial Research (ICBIR) Pub Date : 2022-05-19 DOI: 10.1109/ICBIR54589.2022.9786388

Maya Sukmawati, Andri D. Setiawan

引用次数: 4

Facial Emotional Expression Recognition Using Hybrid Deep Learning Algorithm 基于混合深度学习算法的面部表情识别

2022 7th International Conference on Business and Industrial Research (ICBIR) Pub Date : 2022-05-19 DOI: 10.1109/ICBIR54589.2022.9786421

Phasook Phattarasooksirot, A. Sento

{"title":"Facial Emotional Expression Recognition Using Hybrid Deep Learning Algorithm","authors":"Phasook Phattarasooksirot, A. Sento","doi":"10.1109/ICBIR54589.2022.9786421","DOIUrl":"https://doi.org/10.1109/ICBIR54589.2022.9786421","url":null,"abstract":"Facial expression is the most common way to demonstrate individual emotional state. People intend to understand other people’s emotional state by observing their interactive partner’s facial expression. However, there are some limitations using the mentioned approach regarding the individual observative capability and the interactive partner’s privacy. Hence, the facial emotional expression recognition system based on Convolutional Neural Network (CNN) was employed. The most reliable approach is utilizing the state-of-the-art, such as Inception Net, ResNet, and VGG which had been developed to excel in their specific feature extraction approach. In addition to the mentioned models, there is also a common usage model, such as Convolutional Auto Encode (CAE) which is capable of high-efficient noise reduction. Then, some more advanced models were developed based on the concept of the initially state-of-the-art models, such as U-Net to perform high-performance image segmentation using feature fusion and transposed convolution technique. In this paper, the hybrid deep learning algorithm based on CNN and CAE is developed using the significant features from the mentioned state-of the-arts and 2 combinations of the modified CNN model to predict human emotional state. The experimental result shows the proposed model which achieves the predictive accuracy of 88%","PeriodicalId":216904,"journal":{"name":"2022 7th International Conference on Business and Industrial Research (ICBIR)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114223477","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Multiple Regression Model For Demolding Force Of Rubber Products Using A Full Factorial Design 基于全因子设计的橡胶制品脱模力的多元回归模型

2022 7th International Conference on Business and Industrial Research (ICBIR) Pub Date : 2022-05-19 DOI: 10.1109/ICBIR54589.2022.9786419

Phirawat Rattanachote, T. Kaewkongka, P. Nimdum

引用次数: 0

Tourist Spots Recommendation Method Corresponding to Place Names Appearing in Novel Contents 小说内容中出现地名对应的旅游景点推荐方法

2022 7th International Conference on Business and Industrial Research (ICBIR) Pub Date : 2022-05-19 DOI: 10.1109/ICBIR54589.2022.9786468

Yuta Ishii, T. Nakanishi, Ryotaro Okada, A. Minematsu

引用次数: 0

Improvement of Radiant Cooling Panel (RCP) Air Conditioning (AC) using Model Predictive Control (MPC) 基于模型预测控制(MPC)的辐射冷面板空调(RCP)改进

2022 7th International Conference on Business and Industrial Research (ICBIR) Pub Date : 2022-05-19 DOI: 10.1109/ICBIR54589.2022.9786426

Pornchai Chityuenyong, W. Wongsuwan, P. Chaiwiwatworakul, Narong Anankawanich

{"title":"Improvement of Radiant Cooling Panel (RCP) Air Conditioning (AC) using Model Predictive Control (MPC)","authors":"Pornchai Chityuenyong, W. Wongsuwan, P. Chaiwiwatworakul, Narong Anankawanich","doi":"10.1109/ICBIR54589.2022.9786426","DOIUrl":"https://doi.org/10.1109/ICBIR54589.2022.9786426","url":null,"abstract":"The application of the Radiant Cooling technology for air-conditioning purpose in the hot and humid climatic condition such like Thailand, was investigated by simulation and experimentation. The radiant cooling panel was integrated to the dedicated outdoor air system called RCP-DOAS, which the ceiling type was implemented. The existing system was controlled by the Proportional-Integral-Derivative (PID) controller. The research focused on the employment of the Model Predictive Control (MPC) to enhance the PLC control of the chilled water supply condition of the RCP-DOAS. The thermal circuit equivalent was used for modeling of the heat transfer characteristics of the ceiling type RCP dynamically. The modeling and simulation was conducted in MATLAB Simulink to predict the time required to approach the set point air-conditioned room temperature about 24 °C. In comparison between the PID controller and MPC controller, it could be expected well sooner approaching the set point. The simulated results showed reduction of the time to reach stability by 50.9%. Thereafter, the MPC controller will be implemented to control the RCP-DOAS system during the actual experiment expecting better set point approaching and energy saving.","PeriodicalId":216904,"journal":{"name":"2022 7th International Conference on Business and Industrial Research (ICBIR)","volume":"74 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126999709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0