2019 11th International Conference on Information Technology and Electrical Engineering (ICITEE)最新文献_第6页

The Consumer Trust Influencing Intention to Use Electronic Wallet in Thailand 泰国消费者信任对电子钱包使用意愿的影响

2019 11th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2019-10-01 DOI: 10.1109/ICITEED.2019.8929973

Saowakhon Nookhao, Singha Chaveesuk

{"title":"The Consumer Trust Influencing Intention to Use Electronic Wallet in Thailand","authors":"Saowakhon Nookhao, Singha Chaveesuk","doi":"10.1109/ICITEED.2019.8929973","DOIUrl":"https://doi.org/10.1109/ICITEED.2019.8929973","url":null,"abstract":"The intense competition of globalization and the advancement of technology cause the business sector to adjust and expand into digital business. In addition, the consumer behavior has also changed such as using a smartphone as a part of life and financial transactions. Using of electronic wallets is a new technology that has been popular for consumers for conducting financial transactions via smartphones. The objective of the research is to develop structural model of consumer trust to intention to use electronic wallet. It is also studied the factors that influence consumer trust and intention to use electronic wallet. It was found that consumer trust in electronic wallet is caused by 3 aspects; 1) Information quality which has four attributes (Accuracy, Completeness, Relevance, and Up-to-date) 2) System quality which has four attributes (Ease of use, Availability, Reliability, and User-friendly) and 3) Service quality which has three attributes (Assurance, Responsiveness, and Empathy). It was also found that consumer trust will affect the satisfaction and intention to use electronic wallet of consumers.","PeriodicalId":6598,"journal":{"name":"2019 11th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"34 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85527118","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: 6

A Flexible Secure Key Delegation Mechanism for CP-ABE with Hidden Access Structure 具有隐藏访问结构的CP-ABE灵活安全密钥委托机制

2019 11th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2019-10-01 DOI: 10.1109/ICITEED.2019.8929949

Shardha Porwal, S. Mittal

引用次数: 2

A Breakup Machine Learning Approach for Breast Cancer Prediction 用于乳腺癌预测的分手机器学习方法

2019 11th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2019-10-01 DOI: 10.1109/ICITEED.2019.8929977

Sabari Vishnu Jayanthan Jaikrishnan, Orawan Chantarakasemchit, P. Meesad

引用次数: 10

PV Operation on the Low Demand Condition in the Java–Bali System Java-Bali系统低需求条件下的光伏运行

2019 11th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2019-10-01 DOI: 10.1109/ICITEED.2019.8929936

F. Aditya, L. M. Putranto, Sarjiya, Edwin Nugraha Putra, Eko Yudo Pramono, Marwah

引用次数: 1

Study on Detection Mechanism of HF Radar for Early Tsunami Detection and Comparison to Other Tsunami Sensors 高频雷达海啸早期探测机理研究及与其他海啸传感器的比较

2019 11th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2019-10-01 DOI: 10.1109/ICITEED.2019.8929984

Iswandi, Risanuri Hidayat, Budi Setiyanto, Sigit Budi Wibowo

引用次数: 1

Design and Simulation of Three Phase Squirrel Cage Induction Motor in Low Voltage System 48V 50Hz 3Hp for Electric Golf Cart 电动高尔夫球车三相鼠笼式感应电机低压系统48V 50Hz 3Hp设计与仿真

2019 11th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2019-10-01 DOI: 10.1109/ICITEED.2019.8929987

I. Imawati, F. D. Wijaya, Bambang Sugiyantoro

{"title":"Design and Simulation of Three Phase Squirrel Cage Induction Motor in Low Voltage System 48V 50Hz 3Hp for Electric Golf Cart","authors":"I. Imawati, F. D. Wijaya, Bambang Sugiyantoro","doi":"10.1109/ICITEED.2019.8929987","DOIUrl":"https://doi.org/10.1109/ICITEED.2019.8929987","url":null,"abstract":"The transportation sector is the biggest consumer of gasoline and always increase in every year. Electric vehicle (EV) is an effort to reduce fossil energy usage. The electric vehicle being developed is a Golf cart. Golf cart EV uses the electric motor as its driving force. Types of electric motor often used is an induction motor. This research aims to design a low-voltage induction motor as the propulsion force with desired performance and operating characteristics. The design process uses ANSYS Maxwell RMxprt simulation software. The design proposed for Golf Cart EV uses three phases, 48V induction motor, with phase frequency of 50 Hz, output power of 3HP, and is using class C NEMA design. The design process is done by firstly determining the specifications of the motor, then calculating the main dimensions, windings, as well as the stator and rotor slots. When operating in its rated voltage, the induction motor has efficiency, power factor, and slip values consecutively are 86.07%, 0.82, and 3.62%. Motor characteristics can be seen from locked rotor torque, locked rotor current and breakdown torque from induction motor design information whose values consecutively are 222%, 605%, 308% of the rated value.","PeriodicalId":6598,"journal":{"name":"2019 11th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"94 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72704833","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 Investigation on Facial Emotional Expression Recognition Based on Linear-Decision-Boundaries Classifiers Using Convolutional Neural Network for Feature Extraction 基于卷积神经网络特征提取的线性决策边界分类器面部情绪表情识别研究

2019 11th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2019-10-01 DOI: 10.1109/ICITEED.2019.8929985

Ratcha Boonsuk, Chaitawatch Sudprasert, S. Supratid

{"title":"An Investigation on Facial Emotional Expression Recognition Based on Linear-Decision-Boundaries Classifiers Using Convolutional Neural Network for Feature Extraction","authors":"Ratcha Boonsuk, Chaitawatch Sudprasert, S. Supratid","doi":"10.1109/ICITEED.2019.8929985","DOIUrl":"https://doi.org/10.1109/ICITEED.2019.8929985","url":null,"abstract":"This paper presents an investigation study on facial emotional expression recognition. Three linear-decision-boundaries classifiers: linear support vector classification (LSVC), linear discriminant analysis (LDA) and softmax (SM) techniques are utilized based on convolutional neural network (CNN) for efficient feature extraction, namely CNN-LSVC, CNN-LDA and CNN-SM respectively. Hyper-parameter tuning or selection needs the least effort for such three linear-decision-boundaries classifiers. In order to enhance recognition performance, particular image preprocessing: intensity transformation as well as image cropping technique are implemented before feeding input images into CNN feature extraction. Relying on 10-fold cross validation of 80%-20% training-testing CK+ dataset, above 90% average results of precision, recall, F1 scores and accuracy rates are yielded by all such three investigated methods. Confusion matrix is also determined for more-detail of results examination.","PeriodicalId":6598,"journal":{"name":"2019 11th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"199 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80080904","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: 3

Performance of Digital Phase Locked Loop Based on Notch Filter in Industrial ARM-Cortex Microcontrollers 基于陷波滤波器的工业ARM-Cortex微控制器数字锁相环性能研究

2019 11th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2019-10-01 DOI: 10.1109/ICITEED.2019.8929965

Ade Pratama Suryo Kusumo, E. Firmansyah, F. D. Wijaya

引用次数: 0

Mixed Integer Linear Programming Model for Monthly Unit Commitment in the National Level Power System 国家级电力系统月机组投入的混合整数线性规划模型

2019 11th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2019-10-01 DOI: 10.1109/ICITEED.2019.8930000

H. Truong, C. Jeenanunta

{"title":"Mixed Integer Linear Programming Model for Monthly Unit Commitment in the National Level Power System","authors":"H. Truong, C. Jeenanunta","doi":"10.1109/ICITEED.2019.8930000","DOIUrl":"https://doi.org/10.1109/ICITEED.2019.8930000","url":null,"abstract":"In electrical power system, unit commitment is a fundamental problem for power system planning which aims to maintain electricity production continuously and respond the electricity consumption during every time interval of the scheduling horizon. For long-term operational planning, monthly unit commitment is especially concerned to optimally implement due to the adequate fuel provision for the available generating units over a month. In this study, optimizing the commitment with fuel limitation, daily peak load demand, and operational conditions for a month is considered. Accordingly, a mixed integer linear programming model is proposed with objective to ensure a sufficiency of fuel for the whole month, satisfying the total energy and covering the daily peak load demand with respecting to many operational constraints. The model is applied to a national level planning in Thailand power system which consists of various generator types including thermal, single-shaft gas turbine (SSGT), hydropower, combined-cycle-system gas turbine (CCGT), combined-cyclesystem steam turbine (CCST), and imported power which are purchased and supplied abroad. Simultaneously, development planning is examined and analyzed to reveal a generating unit status, producing output of each generator and fuel usage. Regarding the results, the decision makers can practically execute for scenario analysis of a variety of demand and fuel availability.","PeriodicalId":6598,"journal":{"name":"2019 11th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"13 2 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83011973","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: 2

Food Image Categorization Using Attentional Bilinear Model 基于注意双线性模型的食品图像分类

2019 11th International Conference on Information Technology and Electrical Engineering (ICITEE) Pub Date : 2019-10-01 DOI: 10.1109/ICITEED.2019.8929982

Vasinee Nussiri, P. Vateekul

{"title":"Food Image Categorization Using Attentional Bilinear Model","authors":"Vasinee Nussiri, P. Vateekul","doi":"10.1109/ICITEED.2019.8929982","DOIUrl":"https://doi.org/10.1109/ICITEED.2019.8929982","url":null,"abstract":"Nowadays, many food images are posted on various social network platforms without identification labels. An automatic food categorization application would greatly help to identify and classify food categories. Food categorization is a complex problem since the number of category types can be more than one hundred. Many kinds of food are similar with only subtle differences in taste and presentation and this can lead to a problem called “finegrained issue”. Recently, a bilinear model was employed which showed good accuracy and generated excessive features to capture details among different food categories, albeit with limited performance. Diverse food categories require disparate sets of features. Here, an attention mechanism was applied to capture suitable features and specifically identify each food category. Furthermore, the performance of a bilinear backbone was also enhanced by applying Inception in correlation with Inception-ResNet-v2 and Inception-v3 networks. The experiment was conducted on the Wongnai dataset containing various images that were separated into 83 classes. Results showed that our attentional model outperformed the traditional bilinear model, with an average of 16% improvement showing 3% and 44% as min-max performance values, respectively.","PeriodicalId":6598,"journal":{"name":"2019 11th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"100 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80590183","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