• Title/Summary/Keyword: Excellence Model

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Modeling of Electrical Transport in YBCO Single Layer Thin Films using Flux Motion Model

  • Ud Din, Fasih;Shaari, Abdul Halim;Kamalianfer, Ahmad;Navasery, Manizheh;Yar, Asfand;Talib, Zainal Abidin;Pah, Lim Kean;Kien, Chen Soo
    • Journal of Magnetics
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    • v.19 no.2
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    • pp.140-145
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    • 2014
  • The electrical transport properties of YBCO single layers thin film have been investigated using different physical techniques. For the purpose, the physical properties are probed numerically with help of simulation modelling. The physical transport properties were also estimated with temperature and magnetic fields limits using thermally-activated flux flow model with some modifications. The result of present simulation modelling indicated that the magnitude of activation energy depends on temperature and magnetic field. The simulations revealed thickness dependent physical transport properties including electrical and magnetic properties of deposited YBCO single layers thin films. Furthermore, it shows the temperature dependence of the pinning energy. In the nutshell, the result can be used to improve the Superconducting Properties ($T_c$) of the YBCO single layers thin films.

An Energy-Efficient Operating Scheme of Surveillance System by Predicting the Location of Targets (감시 대상의 위치 추정을 통한 감시 시스템의 에너지 효율적 운영 방법)

  • Lee, Kangwook;Lee, Soobin;Lee, Howon;Cho, Dong-Ho
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38C no.2
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    • pp.172-180
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    • 2013
  • In this paper, we propose an energy-efficient camera operating scheme to save energy which can be used for mass surveillance cameras. This technique determines how many cameras should be turned on in the consideration of the velocity vector of monitoring targets, which is acquired by DSRC object tracking, the model of the specification of installed cameras, and the road model of installed sites. Also, we address other techniques used to save energy for the surveillance system as well. Throughout performance evaluation, we demonstrate the excellence of our proposed scheme compared with previous approaches.

Numerical investigations on breakage behaviour of granular materials under triaxial stresses

  • Zhou, Lunlun;Chu, Xihua;Zhang, Xue;Xu, Yuanjie
    • Geomechanics and Engineering
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    • v.11 no.5
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    • pp.639-655
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    • 2016
  • The effect of particle breakage and intermediate principal stress ratio on the behaviour of crushable granular assemblies under true triaxial stress conditions is studied using the discrete element method. Numerical results show that the increase of intermediate principal stress ratio $b(b=({\sigma}_2-{\sigma}_3)/({\sigma}_1-{\sigma}_3))$ results in the increase of dilatancy at low confining pressures but the decrease of dilatancy at high confining pressures, which stems from the distinct increasing compaction caused by breakage with b. The influence of b on the evolution of the peak apparent friction angle is also weakened by particle breakage. For low relative breakage, the relationship between the peak apparent friction angle and b is close to the Lade-Duncan failure model, whereas it conforms to the Matsuoka-Nakai failure model for high relative breakage. In addition, the increasing tendency of relative breakage, calculated based on a fractal particle size distribution with the fractal dimension being 2.5, declines with the increasing confining pressure and axial strain, which implies the existence of an ultimate graduation. Finally, the relationship between particle breakage and plastic work is found to conform to a unique hyperbolic correlation regardless of the test conditions.

Key Drivers of Operational Performance of E-commerce Distribution Service Providers in Thailand

  • VONGURAI, Rawin
    • Journal of Distribution Science
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    • v.20 no.12
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    • pp.89-98
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    • 2022
  • Purpose: Due to the rapid growth of e-commerce in Thailand, the operational excellence of distribution service providers has been elevated. Thus, this research investigated the key drivers of operational performance of e-commerce distributors in Thailand. The research contains key variables: the analytics capabilities of an organization, supply chain disruption orientation, innovation capability, and operational performance. Research design, data, and methodology: An online survey is administered to top managers and key personnel (N=425) employed for at least one year in Thailand's top five e-commerce distributors. The sampling methods were conducted using purposive sampling, quota sampling, and convenience sampling. Confirmatory Factor Analysis and Structural Equation Model were applied to analyze and confirm the model's goodness-of-fit and hypothesis testing. Results: The findings reveal that an organization's analytics capabilities significantly affect supply chain disruption orientation and supply chain resilience. Furthermore, operational performance is affected by supply chain disruption, supplier quality management, and innovation capability. Nevertheless, supply chain resilience and digital supply chain have no significant effect on operational performance. Conclusions: The results imply that supply chain digitalization could drive higher operational performance. Distribution businesses are encountering transformation and disruption, which should address the high level of a digital supply chain, innovation, and quality management to maximize their profit margin and delivery service quality.

Factors Influencing Experiential Value Toward Using Cosmetic AR Try-on Feature in Thailand

  • VONGURAI, Rawin
    • Journal of Distribution Science
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    • v.19 no.1
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    • pp.75-87
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    • 2021
  • Purpose: The objective of this research is to identify the core aspects of persuasive factors influencing consumer's experiential value towards using Augmented Reality (AR) try-on feature while shopping cosmetic products online. The conceptual framework of this study is adopted and integrated from the theoretical study on how narrative experience, media richness, and presence affect the formation of experiential value in the augmented reality interactive technology (ARIT) process. Research design, data and methodology: The sample (n = 550) were collected from online and offline questionnaires by using stratified random sampling and purposive sampling methods. Confirmatory Factor Analysis (CFA) and Structural Equation Model (SEM) were used to analyze the data to confirm goodness-of-fit of the model and hypothesis testing. Results: The results indicated that media richness induced higher experiential value (consumer ROI, playfulness, service excellence and aesthetics), followed by narrative experience and presence towards using AR try-on feature. Conclusions: Consumer's experiential value towards using AR try-on feature when shopping cosmetic products online rely on media richness, narrative experience and presence respectively. Therefore, marketing practitioners are recommended to develop the feature design and content to be more useful, authentic, user-friendly and entertaining to better connect and provide confidence to consumers when shopping cosmetics online.

Design of Turbidity Measurement of White Plume using Optical Method (광학기법을 이용한 백색 굴뚝연기 혼탁도 측정의 설계)

  • Son, Hyun-Keun;Ban, Chae-Hoon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.15 no.6
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    • pp.1195-1200
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    • 2020
  • The DOM (: Digital Optical Method), which measures the turbidity of chimney smoke, is a method of calculating the turbidity by setting the area to be measured and the contrast area using a low-cost digital camera that can be easily obtained. However, it is difficult to measure clouds and white smoke in a cloudy sky. In this paper, we develop a background sky type model that can represent the background sky and classify the type by periodically photographing it with a digital camera to solve this problem. In addition, based on the model, we develop a filter to optimize white smoke image and prove its excellence through experiments.

A Methodology for Predicting Changes in Product Evaluation Based on Customer Experience Using Deep Learning (딥러닝을 활용한 고객 경험 기반 상품 평가 변화 예측 방법론)

  • An, Jiyea;Kim, Namgyu
    • Journal of Information Technology Services
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    • v.21 no.4
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    • pp.75-90
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    • 2022
  • From the past to the present, reviews have had much influence on consumers' purchasing decisions. Companies are making various efforts, such as introducing a review incentive system to increase the number of reviews. Recently, as various types of reviews can be left, reviews have begun to be recognized as interesting new content. This way, reviews have become essential in creating loyal customers. Therefore, research and utilization of reviews are being actively conducted. Some studies analyze reviews to discover customers' needs, studies that upgrade recommendation systems using reviews, and studies that analyze consumers' emotions and attitudes through reviews. However, research that predicts the future using reviews is insufficient. This study used a dataset consisting of two reviews written in pairs with differences in usage periods. In this study, the direction of consumer product evaluation is predicted using KoBERT, which shows excellent performance in Text Deep Learning. We used 7,233 reviews collected to demonstrate the excellence of the proposed model. As a result, the proposed model using the review text and the star rating showed excellent performance compared to the baseline that follows the majority voting.

In Search of Demanded Mediating Role of TAM between Online Review and Behavior Intention for Promoting Golf App Distribution

  • KIM, Ji-Hye
    • Journal of Distribution Science
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    • v.20 no.8
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    • pp.105-114
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    • 2022
  • Purpose: The technology acceptance model (TAM) refers to a theory that maps the possibility or extent to which users can accept an innovative technology. The purpose of the current research is to investigate the mediating effect of TAM between online review and behavior intention for promoting golf app's distribution. Research design, data and methodology: In order to examine the relationship between app usage reviews, TAM, and behavioral intentions of golf app participants, the present author collected total 170 responses from South Korean participants based on web-based survey system. The main methodology which was selected by this study is mediation causality analysis that Baron and Kenny suggested. Results: The statistical findings definitely indicated that TAM mediating role exists between the positive emotion of golf app users regarding online reviews and positive behavior intention of golf app, which means that all three steps of mediation causality analysis were statistically significant. Conclusions: The present research concludes that the correct utilization of innovation in the design and implementation of the technology features translates into performance excellence. The model can be used to increase the online presence through innovation as a primary drive toward providing more convenience and accessibility to the users through mobile golf apps.

Developement of Tools for Measuring the Awareness of Safety Management in Public Sports Facilities and Comparison of Local Goverments Awareness (공공체육시설 안전관리 인식도 측정을 위한 도구 개발 및 지방자치단체 인식도 비교)

  • Kwak, Bong Hyeon;Kwak, Young Guk
    • Journal of the Korean Society of Safety
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    • v.37 no.3
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    • pp.60-70
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    • 2022
  • The use rate of sports facilities in Korea is increasing every year, which means that accidents are also increasing. However, it is difficult to determine the level of safety management necessary to prevent accidents because there are no measurement tools to evaluate such management of sports facilities. Accordingly, in this study, tools and models to evaluate the safety management level of public sports facilities were developed based on public company management evaluation guidelines and the EFQM Excellence Model. A comparative analysis of the proposed tools and models between local governments showed no difference in awareness of safety management by group. This means that active safety management activities are needed to improve the low level of interest in safety of public sports facilities. We hope that this model will be widely used for the safety management of public sports facilities and to identify improvements and priorities in safety management.

A Study on Generative AI-Based Feedback Techniques for Tutoring Beginners' Error Codes on Online Judge Platforms

  • Juyeon Lee;Seung-Hyun Kim
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.8
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    • pp.191-200
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    • 2024
  • The rapid advancement of computer technology and artificial intelligence has significantly impacted software education in Korea. Consequently, the 2022 revised curriculum demands personalized education. However, implementing personalized education in schools is challenging. This study aims to facilitate personalized education by utilizing incorrect codes and error information submitted by beginners to construct prompts. And the difference in the frequency of correct feedback generated by the generative AI model and the prompts was examined. The results indicated that providing appropriate error information in the prompts yields better performance than relying solely on the excellence of the generative AI model itself. Through this research, we hope to establish a foundation for the realization of personalized education in programming education in Korea.