• Title/Summary/Keyword: Information Diffusion Model

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Measuring learner satisfaction in e-learning using SERVQUAL (SERVQUAL을 이용한 이러닝 학습자의 만족도 평가에 관한 연구)

  • Ku, Hee-Jin;Park, Young-Taek
    • Journal of Korean Society for Quality Management
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    • v.38 no.2
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    • pp.161-170
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    • 2010
  • Diffusion of e-learning has been accelerated according as the convenience and effectiveness have been increased rapidly due to the advancement of information technology. However, there has been few studies on systematic evaluation of its performance. SERVQUAL model was applied to evaluate the service quality of a 100% on-line lecture opened in a major Korean university. Two classes, one for 71 undergraduate students, the other for 79 graduate students, were opened for the lecture. The gaps between the expected service and the perceived service scores were compared with respect to sex, age, and e-learning experience. Although the gap score of male and female students were not different significantly, the gap scores among the other comparative groups were different. The perceived score of the older group with more than thirty ages was lower than that of the younger group. It seems that the older group evaluated the score based on the practical use of the subject since they are part-time students with jobs. Also, the perceived score of the group with previous e-learning experience was higher than that of the group with no e-learning experience. It seems that the experienced group evaluated it compared with the previous e-learning satisfaction. As it might be expected, the groups with higher perceived scores had stronger intention to recommend the e-learning lecture to other students.

A Study on Factors Affecting Intention to Continuous Use of O2O Service : Focused on Cinema Ticketing Systems (O2O서비스의 지속이용의도에 영향을 미치는 요인에 관한 연구 : 영화관 티켓 발권서비스를 중심으로)

  • Park, Soeun;Lee, Seonghye;Ji, Deabum;Choi, Jeongil
    • Journal of Information Technology Services
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    • v.16 no.4
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    • pp.197-212
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    • 2017
  • This study aims to investigate factors affecting the intention of continuous use of O2O service by referring new media adoption theory and value-based acceptance model for movie ticketing services. For this study, a questionnaire survey was conducted for users of tickets ticketing service of the cinema online (including mobile) within the last 6 months. A total of 500 copies was collected and 404 copies were analyzed excluding 96 copies because of errors. As a result of the analysis, the ease of use and service ubiquity has a positive effect on perceived functional value and perceived emotional value, and usability has a positive effect on perceived functional value. Compatibility and trialability has a positive effect on both perceived functional value and emotional value. Previous experience has a positive effect on both perceived functional value and perceived emotional value, and inertia has negative effect on perceived functional value. Finally, the perceived emotional value has a positive effect on the intention to continuous use, but perceived functional value appeared to have no significant effect. This study shows a theoretical implication for new technology-based services such O2O. It was suggested to establish a practical marketing strategy and help to activate the O2O service field.

Collective Sentiments and Users' Feedback to Game Contents : Analysis of Mobile Game UX based on Social Big Data Mining (집단 감성과 모바일 게임 사용경험 : 카카오게임 사례연구)

  • Cheon, Youngjoon;Kwak, Kyu Tae
    • Journal of Korea Game Society
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    • v.15 no.4
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    • pp.145-156
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    • 2015
  • Existing researches have been limited to one-dimensional analysis of game experience (enjoyment, addictive user, usability). However, we considered to analyze complex sentiments of mobile game users due to diffusion of multitasking in these days. In this study, We focused on 'collective sentiments' of mobile game users and studied 'connected emotions and mental model' of them. To support theoretical assumption, we analyzed social data which reflect intention and unintended behavior of users. As a result, multiple consumption of service, diversified patterns of information recommendation and quest experience based on networking were critical to mobile game UX.

Ohmic contact formation of single crystalline 3C-SiC for high temperature MEMS applications (초고온 MEMS용 단결정 3C-SiC의 Ohmic Contact 형성)

  • Chung, Gwiy-Sang;Chung, Su-Yong
    • Journal of Sensor Science and Technology
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    • v.14 no.2
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    • pp.131-135
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    • 2005
  • This paper describes the ohmic contact formation of single crystalline 3C-SiC thin films heteroepitaxially grown on Si(001) wafers. In this work, a TiW (Titanium-tungsten) film as a contact matieral was deposited by RF magnetron sputter and annealed with the vacuum and RTA (rapid thermal anneal) process respectively. Contact resistivities between the TiW film and the n-type 3C-SiC substrate were measured by the C-TLM (circular transmission line model) method. The contact phases and interface the TiW/3C-SiC were evaulated with XRD (X-ray diffraction), SEM (scanning electron microscope) and AES (Auger electron spectroscopy) depth-profiles, respectively. The TiW film annealed at $1000^{\circ}C$ for 45 sec with the RTA play am important role in formation of ohmic contact with the 3C-SiC substrate and the contact resistance is less than $4.62{\times}10^{-4}{\Omega}{\cdot}cm^{2}$. Moreover, the inter-diffusion at TiW/3C-SiC interface was not generated during before and after annealing, and kept stable state. Therefore, the ohmic contact formation technology of single crystalline 3C-SiC using the TiW film is very suitable for high temperature MEMS applications.

Workflow Based on Pipelining for Performance Improvement of Volcano Disaster Damage Prediction System (화산재해 피해 예측 시스템의 성능 향상을 위한 파이프라인 기반 워크플로우)

  • Heo, Daeyoung;Lee, Donghwan;Hwang, Suntae
    • Journal of KIISE
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    • v.42 no.3
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    • pp.281-288
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    • 2015
  • A volcano disaster damage prediction system supports decision making for counteracting volcanic disasters by simulating meteorological condition and volcanic eruptions. In this system, a program called Fall3D generates predicted results for the diffusion of ash after a volcanic eruption on the basis of meteorological information. The relevant meteorological information is generated by a weather numerical prediction model known as Weather Research & Forecasting (WRF). In order to reduce the entire processing time without modifying these two simulation programs, pipelining can be used by partly executing Fall3D whenever the hourly (partial) results of WRF are generated. To reduce the processing time, successor programs such as Fall3D require that certain features be suspended until the part of the results that is based on prior calculation is generated by a predecessor. Even though Fall3D does not have a suspend or resume feature, pipelining effect can be produced by using the program's restart feature, which resumes simulation from the previous session. In this study, we suggest a workflow that can control the execution type.

Fundamentals of Particle Fouling in Membrane Processes

  • Bhattacharjee Subir;Hong Seungkwan
    • Korean Membrane Journal
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    • v.7 no.1
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    • pp.1-18
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    • 2005
  • The permeate flux decline due to membrane fouling can be addressed using a variety of theoretical stand-points. Judicious selection of an appropriate theory is a key toward successful prediction of the permeate flux. The essential criterion f3r such a decision appears to be a detailed characterization of the feed solution and membrane properties. Modem theories are capable of accurately predicting several properties of colloidal systems that are important in membrane separation processes from fundamental information pertaining to the particle size, charge, and solution ionic strength. Based on such information, it is relatively straight-forward to determine the properties of the concentrated colloidal dispersion in a polarized layer or the cake layer properties. Incorporation of such information in the framework of the standard theories of membrane filtration, namely, the convective diffusion equation coupled with an appropriate permeate transport model, can lead to reasonably accurate prediction of the permeate flux due to colloidal fouling. The schematic of the essential approach has been delineated in Figure 5. The modern approaches based on appropriate cell models appear to predict the permeate flux behavior in crossflow membrane filtration processes quite accurately without invoking novel theoretical descriptions of particle back transport mechanisms or depending on adjust-able parameters. Such agreements have been observed for a wide range of particle size ranging from small proteins like BSA (diameter ${\~}$6 nm) to latex suspensions (diameter ${\~}1\;{\mu}m$). There we, however, several areas that need further exploration. Some of these include: 1) A clear mechanistic description of the cake formation mechanisms that clearly identifies the disorder to order transition point in different colloidal systems. 2) Determining the structure of a cake layer based on the interparticle and hydrodynamic interactions instead of assuming a fixed geometrical structure on the basis of cell models. 3) Performing well controlled experiments where the cake deposition mechanism can be observed for small colloidal particles (< $1\;{\mu}m$). 4) A clear mechanistic description of the critical operating conditions (for instance, critical pressure) which can minimize the propensity of colloidal membrane fluting. 5) Developing theoretical approaches to account for polydisperse systems that can render the models capable of handing realistic feed solutions typically encountered in diverse applications of membrane filtration.

A Framework of the Convergent Service Development Process in the Public Sector : The Smart Transportation Card Service of Seoul City and the Call for Collaboration Case in Singapore (공공분야 융합 서비스 개발 Framework에 대한 연구 : 서울시 스마트교통카드 서비스와 싱가포르 CFC 사례를 중심으로)

  • Lee, Jin-Hui;Lee, Suke-Kyu
    • Journal of Information Technology Services
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    • v.12 no.2
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    • pp.387-410
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    • 2013
  • Due to the development of information technology, Convergence and Creative Economy became hot issues. For example, products become more intelligent and services are likely to be connected and integrated around core services or provided as bundle solution. Meanwhile products and services are integrated in the context of mutual supplementation, which leads to Servitization of Products and Productization of Services in many industries. Previous studies have addressed Convergence with different terms and definitions such as Convergent, Multicategory Multifunctional Product, Clouding Service, Bundle and so on from one perspective such as consumers, suppliers or technology according to a wide range of academic approaches. Thus, this study attempted to suggest the most typical convergence products released in the convergence environment and categorize those products. Furthermore, this study has pointed out the problems in the New Product Development Framework discussed in the studies on marketing by taking the situation of the public sector into account and then suggested "New Service Development Framework in the Public Sector" that are different from traditional e-Gov. approach basically and will enable the government to create public information service and provide them to enterprises or citizens. It also emphasized the importance of Business Conceptualization Stage in the framework; argued that there is a necessity of an integrative study from the perspective of technology on the basis of the approach from the perspective of marketing and Policy such as a study of consumer behaviors, design and marketing channel and Policy Integration for the development and dissipation; and furthermore suggested the cases-the development/Diffusion of Transportation Card Service in Seoul and CFC (Call for Collaboration) in Singapore-in order to verify the framework. There is a need to supplement New Service Development Framework so it is able to reflect the distinct characteristics of the public sector from the academic perspective and be used as practical guidelines for SI (System Integration) business to shift into IT Service business. Last but not the least, this study has suggested the limitations and the directions for the future studies.

Texture Analysis of Three-Dimensional MRI Images May Differentiate Borderline and Malignant Epithelial Ovarian Tumors

  • Rongping Ye;Shuping Weng;Yueming Li;Chuan Yan;Jianwei Chen;Yuemin Zhu;Liting Wen
    • Korean Journal of Radiology
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    • v.22 no.1
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    • pp.106-117
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    • 2021
  • Objective: To explore the value of magnetic resonance imaging (MRI)-based whole tumor texture analysis in differentiating borderline epithelial ovarian tumors (BEOTs) from FIGO stage I/II malignant epithelial ovarian tumors (MEOTs). Materials and Methods: A total of 88 patients with histopathologically confirmed ovarian epithelial tumors after surgical resection, including 30 BEOT and 58 MEOT patients, were divided into a training group (n = 62) and a test group (n = 26). The clinical and conventional MRI features were retrospectively reviewed. The texture features of tumors, based on T2-weighted imaging, diffusion-weighted imaging, and contrast-enhanced T1-weighted imaging, were extracted using MaZda software and the three top weighted texture features were selected by using the Random Forest algorithm. A non-texture logistic regression model in the training group was built to include those clinical and conventional MRI variables with p value < 0.10. Subsequently, a combined model integrating non-texture information and texture features was built for the training group. The model, evaluated using patients in the training group, was then applied to patients in the test group. Finally, receiver operating characteristic (ROC) curves were used to assess the diagnostic performance of the models. Results: The combined model showed superior performance in categorizing BEOTs and MEOTs (sensitivity, 92.5%; specificity, 86.4%; accuracy, 90.3%; area under the ROC curve [AUC], 0.962) than the non-texture model (sensitivity, 78.3%; specificity, 84.6%; accuracy, 82.3%; AUC, 0.818). The AUCs were statistically different (p value = 0.038). In the test group, the AUCs, sensitivity, specificity, and accuracy were 0.840, 73.3%, 90.1%, and 80.8% when the non-texture model was used and 0.896, 75.0%, 94.0%, and 88.5% when the combined model was used. Conclusion: MRI-based texture features combined with clinical and conventional MRI features may assist in differentitating between BEOT and FIGO stage I/II MEOT patients.

An Empirical Study on Utilization of Electronic Government Services (전자정부 서비스 활용에 관한 실증연구)

  • Kim, Kyung-Hee;Park, Tae-Jun;Jang, Woo-Jung
    • Journal of Digital Convergence
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    • v.10 no.5
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    • pp.7-17
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    • 2012
  • This paper identifies the determinants of adoption and diffusion of e-government services, and examines the causal relationship among the variables of adoption behavior. The main findings, based upon survey responses from service users, are as follows: first, both the value of service and the socially influencing factor have the positive effect to the intention of utilizing services. Second, the socially influencing factor has the indirect effect to the intention of utilizing services, because it positively affects the value of service. The interaction factors, however, do not directly affect the intention of utilizing services. These interaction factors indirectly affect the intention of utilizing services through the path which increases the value of service, and its effect is larger than the socially influencing factor.

Research Trends Investigation Using Text Mining Techniques: Focusing on Social Network Services (텍스트마이닝을 활용한 연구동향 분석: 소셜네트워크서비스를 중심으로)

  • Yoon, Hyejin;Kim, Chang-Sik;Kwahk, Kee-Young
    • Journal of Digital Contents Society
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    • v.19 no.3
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    • pp.513-519
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    • 2018
  • The objective of this study was to examine the trends on social network services. The abstracts of 308 articles were extracted from web of science database published between 1994 and 2016. Time series analysis and topic modeling of text mining were implemented. The topic modeling results showed that the research topics were mainly 20 topics: trust, support, satisfaction model, organization governance, mobile system, internet marketing, college student effect, opinion diffusion, customer, information privacy, health care, web collaboration, method, learning effectiveness, knowledge, individual theory, child support, algorithm, media participation, and context system. The time series regression results indicated that trust, support satisfaction model, and remains of the topics were hot topics. This study also provided suggestions for future research.