2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)最新文献_第3页

Research on Question Answering System Based on Bi-LSTM and Self-attention Mechanism 基于Bi-LSTM和自注意机制的问答系统研究

2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA) Pub Date : 2020-04-01 DOI: 10.1109/ICIEA49774.2020.9101985

Hao Xiang, J. Gu

引用次数: 0

Word Cloud Result of Mobile Payment User Review in Indonesia 印尼移动支付用户测评的词云结果

2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA) Pub Date : 2020-04-01 DOI: 10.1109/ICIEA49774.2020.9102048

Intan Novita Dewi, R. Nurcahyo, Farizal

{"title":"Word Cloud Result of Mobile Payment User Review in Indonesia","authors":"Intan Novita Dewi, R. Nurcahyo, Farizal","doi":"10.1109/ICIEA49774.2020.9102048","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9102048","url":null,"abstract":"The volume of non-cash transaction grow rapidly all around the world. One of the global growth figures for noncash transactions is driven by the use of mobile payment. In 2018, Indonesia is proven to be a good market for mobile payment and estimated to continue to grow in 2020. This will make competition between mobile payment tougher in Indonesia. Mobile payment companies need to maintain the quality of services and applications in order to meet customer satisfaction. User reviews or complaints expressed on Twitter were used in this study. Pre-processing data is used to convert unstructured and semi-structured text into an understandable format. The Term Frequency matrix is used to calculate the number of occurrences of the token. Word cloud is used to represent the most repeated words that represent the word size. It can be used to find out what services are widely reviewed or complained by customers. The data in this study are tweets with Bahasa Indonesia therefore, the result for word cloud is also in Bahasa Indonesia. The eight frequently used words in the data can be grouped into mobile payment company, monetary rewards, mobile payment transaction and customer service.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115025125","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: 8

An Online Community Applying CNN Technology for ICH Craftsmanship Inheritance and Preservation 一个应用CNN技术的网络社区，用于传承和保存ICH工艺

2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA) Pub Date : 2020-04-01 DOI: 10.1109/ICIEA49774.2020.9101983

Enmao Liu, Qiming Jin, Lijuan Liu, Junwu Wang, Cheng Yao, Fangtian Ying

引用次数: 0

Evaluating Reconfigurable Hardware for Accelerating Industrial CT 评估加速工业CT的可重构硬件

2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA) Pub Date : 2020-04-01 DOI: 10.1109/ICIEA49774.2020.9101920

A. Cilardo

引用次数: 2

A Multi-Phase Ensemble Model for Long Term Hourly Load Forecasting 长期小时负荷预测的多相集成模型

2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA) Pub Date : 2020-04-01 DOI: 10.1109/ICIEA49774.2020.9102076

Kushagra Bhatia, R. Mittal, Nisha, M. M. Tripathi

{"title":"A Multi-Phase Ensemble Model for Long Term Hourly Load Forecasting","authors":"Kushagra Bhatia, R. Mittal, Nisha, M. M. Tripathi","doi":"10.1109/ICIEA49774.2020.9102076","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9102076","url":null,"abstract":"Long-term projection of electricity demand is necessary for strategizing production, transmission, distribution and grid expansion in power systems. In this work, we propose a model for forecasting hourly profile of load data which must be taken into consideration by power system planners to produce cost optimal and realizable solutions. The developed ensemble model is formulated in two phases, with the initial phase primarily centered on stacking of gradient and adaptive boosting regressors. In the subsequent phase, the variance is diminished by bagging Lasso LARS regressor on the stacked dataset. For implementation of the proposed model, we collect real-world data of the Germany electricity market for thirteen years spanning from 2006 to 2018. Electricity demand forecasts have been evaluated for the duration of five-years from 2014 to 2018 and are found to be extremely accurate as well as consistent. The presented model on comparison with five benchmark load forecasting models is observed to surpass all of them with a mean absolute percentage error of 1.59 on the test set. Furthermore, unlike neural network models, the proposed ensemble is computationally inexpensive with a training time of 110s.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129387000","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: 4

3PL Managed SPD-Based Logistics Management Model for Hospital Supply Chain: A Case Study of Hospital Supply Chain in Thailand 基于第三方物流的医院供应链物流管理模式——以泰国医院供应链为例

2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA) Pub Date : 2020-04-01 DOI: 10.1109/ICIEA49774.2020.9101921

Daranee Senarak, D. Kritchanchai

{"title":"3PL Managed SPD-Based Logistics Management Model for Hospital Supply Chain: A Case Study of Hospital Supply Chain in Thailand","authors":"Daranee Senarak, D. Kritchanchai","doi":"10.1109/ICIEA49774.2020.9101921","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9101921","url":null,"abstract":"Supply, Processing and Distribution management, or SPD, is a supply chain management model that can improve hospital supply chain management effectiveness. It is successfully developed and applied by Japanese and Chinese Hospitals as the internal-hospital department function and still has potential to adjust for more corresponding to actual hospital situations [1]. In Thailand, the SPD model is adopted in a large private hospital network. From the case study of hospital supply chain in Thailand, the SPD model was studied in order to design the most effective supply chain structures. Of nine models constructed from theoretical basis and all validated as potential structures, participated experts considered four models outperform the others. To discover the most suitable one for the studied case, AHP was used to evaluate relative importance-weight of hospital logistics performance indicators. Then fuzzy TOPSIS was used to select the model. Finally, the SPD model with 3PL-managed centralized warehouse, Group Purchasing Organization and regional hubs was rated as the most appropriate model for the private hospital network case study.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129873704","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

Vibration Prediction of a Spindle Shaft and Bearing Fitting Assembly Design using Fuzzy Logic 基于模糊逻辑的主轴振动预测及轴承装配设计

2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA) Pub Date : 2020-04-01 DOI: 10.1109/ICIEA49774.2020.9102077

Noppachai Saivaew, S. Butdee

引用次数: 1

Assessment of E-Service Quality Dimensions and Its Influence on Customer Satisfaction: A Study on the Online Banking Services in the Philippines 电子服务质量维度评估及其对客户满意度的影响:菲律宾网上银行服务的研究

2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA) Pub Date : 2020-04-01 DOI: 10.1109/ICIEA49774.2020.9101940

Mary Christy O. Mendoza, Ronell Ray C. Santos, Jeremiah Eli H. Magdaraog

{"title":"Assessment of E-Service Quality Dimensions and Its Influence on Customer Satisfaction: A Study on the Online Banking Services in the Philippines","authors":"Mary Christy O. Mendoza, Ronell Ray C. Santos, Jeremiah Eli H. Magdaraog","doi":"10.1109/ICIEA49774.2020.9101940","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9101940","url":null,"abstract":"Application of technology in financial services paved the way for banking institutions to shift from the traditional way of banking to a more efficient and less costly operation by means of electronic banking. According to a survey conducted by the Bangko Sentral ng Pilipinas (2017), though there is a significant internet usage and awareness of online payment methods amongst Filipinos, almost half of those with bank accounts and using the internet remains indecisive about electronic transactions due to various behavioral factors. Therefore, this paper was made to study and assess the significant factors, or dimensions, of service quality which cause online banking to impact on customer satisfaction - including efficiency, fulfilment, system availability and privacy. A conceptual framework was developed to create a structure for the hypothesis testing. Following the construct of e-service quality measurement model developed by Parasuraman et.al. (2005), E-S-QUAL survey for e-services was adapted to assess the overall online banking experience of respondents (from a given sample size) via convenience sampling. Analysis was conducted to validate statistical normality using normal probability plot, confirm test validity and reliability by means of measuring Cronbach's Alpha and establish interrelationship by means of Pearson correlation and multiple regression analysis for the core dimensions vs. perceived value and loyalty intentions. Amongst the quality dimensions examined, it was found out that efficiency and fulfilment have the greatest impact on perceived value and loyalty retention of customers.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"124 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123182364","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: 8

Standardizing Human Factors and Ergonomics Education for the Undergraduate Programs in Industrial Engineering: A Comparative Analysis between Indonesia, Philippines, and Taiwan 工业工程本科专业人因与工效学教育之标准化:印尼、菲律宾与台湾之比较分析

2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA) Pub Date : 2020-04-01 DOI: 10.1109/ICIEA49774.2020.9101950

Y. Prasetyo

{"title":"Standardizing Human Factors and Ergonomics Education for the Undergraduate Programs in Industrial Engineering: A Comparative Analysis between Indonesia, Philippines, and Taiwan","authors":"Y. Prasetyo","doi":"10.1109/ICIEA49774.2020.9101950","DOIUrl":"https://doi.org/10.1109/ICIEA49774.2020.9101950","url":null,"abstract":"Human Factors and Ergonomics (HFE) is one of the core subjects in industrial engineering. Despite the development of industrial engineering over the past 100 years, there is limited information regarding the standard HFE education for the undergraduate programs. The purpose of this study was to propose a standard HFE education for the undergraduate programs in industrial engineering. Several institutions in Indonesia, Philippines, and Taiwan were listed and the HFE courses were evaluated as case studies. The results indicated that there were discrepancies between several institutions regarding HFE education and it is required to standardized the topics under the compulsory courses. This study is one of the first studies that proposed a standard HFE education in the industrial engineering field. The proposed standard could be extended to other institutions worldwide that offer industrial engineering programs. In addition, the proposed approach could also be applied for standardizing master and doctoral programs with a specialization in HFE. Finally, the proposed approach would also be very beneficial for academicians, HFE engineers, and even policymakers.","PeriodicalId":306461,"journal":{"name":"2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121104441","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

Thai Voice Recognition for Controlling Electrical appliances Using Long Short-Term Memory 利用长短期记忆控制电器的泰语语音识别

2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA) Pub Date : 2020-04-01 DOI: 10.1109/ICIEA49774.2020.9101936

Wuttichai Saheaw, S. Jaiyen, Anantaporn Hanskunatai

引用次数: 1