• 설비공학논문집
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• 제15권8호
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• pp.641-651
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• 2003

In order to assess the reliability of a building energy simulation program (TRNSYS) from the standpoint of user, a set of verification experiment and calculation of cooling load for a test space is carried out. This work is a complement of the previous study that dealt with heating load for the same space. The test space is kept airtight to eliminate the source of uncertainties in modeling. A window-mounted, on/off controlled air-conditioner is used for cooling, whose performance has been established a priori. The calculation encompasses two models for evaluating cooling load in TRNSYS: energy rate control and temperature level control. Comparison of the total cooling loads obtained from different sets of experimental data enables to validate the measurements. The experimental result shows that the latent load is fairly large even in the absence of apparent air change in the space, which needs to be clarified. Each of hourly and daily accumulated sensible loads is compared between the experiment and two calculation models. Despite an inconsistency associated with solar irradiation, both of the models agree favorably with the experiment within a tolerance, illustrating their capability of properly predicting space thermal loads.

• 한국컴퓨터정보학회논문지
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• 제6권4호
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• pp.6-11
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• 2001

국어의 로마자 표기법 기본원칙을 모르더라도 웹 상에서 한글단어, 문장, 문서를 문자열(String)로 입력받아 자동변환이 가능하게 설계하였다. 특히 표음 중심의 전사(Transcription) 표기법의 기계적 변환을 위해 알고리즘(algorithm)화된 음운법칙을 적용하여 소리글자로 자동 변환 후 정부 표준안인 국어 로마자 표기법 레이블에서 대응 글자를 참조하여 기계화 코드 변환이 가능토록 자동변환 알고리즘 설계하였으며, 아스키(ASCII)테이블에서 잘 쓰이지 않는 코드를 반달표(ˇ)와 어깻점(´)등 특수부호로 할당하여 글꼴을 제작하였다. 또한 예외어 사전관리를 통한 예외 처리 문제에 대한 해결 방안을 제시하였으며, UML표기와 C++ 언어를 이용하여 사용자 편리성과 구현에 대한 모델을 제안하였다.

• The Journal of Asian Finance, Economics and Business
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• 제8권12호
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• pp.223-231
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• 2021

The study aimed to investigate the impact of social networks safety (SNS) on the marketing information quality (MIQ) during the COVID-19 pandemic in Saudi Arabia. The study examines the statistical differences in social networks safety SNS and marketing information quality MIQ according to the demographics such as age, sex, income, and education. For this study purpose, information security and privacy are two components of social networks safety. The research materials are website resources, regular books, journals, and articles. The population includes all Saudi users of social networks. The figures show that active users of the social network reached 25 Million in 2020. The snowball method was used and sample size is 500 respondents and the questionnaire is the tool for the data collection. The Structural Equation Modelling SEM technique is used. Convergent Validity, Discriminate Validity, and Multicollinearity are the main assumptions of structural equation modeling SEM. The findings show the high positive impact of SNS networks safety on MIQ and the statistical differences in such variables refer to education. Finally, the study presents a set of future suggestions to enhance the safety of social networks in Saudi Arabia.

• Journal of Smart Tourism
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• 제1권2호
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• pp.37-46
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• 2021

The travel-related applications on a smartphone help tourists make a reservation before their trip conveniently; use a map, direction guidance, and translation services during the travel; evaluate and recommend travel services communicating with others after their journey. This study examines the relationships among affordances and constraints provided by the mini-program, users' perceived value, and travel-related mini-program (TRMP) usage by analyzing the structural equation modeling. An online questionnaire was developed from the available scales in the published literature. A total of 651 TRMP users responded to the survey, and 448 valid responses were included for analysis. Affordance, including physical, cognitive, sensory, and functional affordance, significantly influenced the hedonic value of TRMP; utilitarian value except for cognitive affordance. There were negative relationships between unfamiliarity and both types of value. The utilitarian and hedonic value of TRMP significantly influenced both the exploitative and explorative use of TRMP. Travel-related mobile applications are dramatically increased in the tourism field. This research sheds light on TRMP usage, as a new and smart device, from a user's perspective based on the affordance theory. This study represents a valuable direction regarding the emerging travel-related online platforms in tourism.

• 한국분말재료학회지
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• 제26권4호
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• pp.275-281
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• 2019

An artificial neural network (ANN) model is developed for the analysis and simulation of correlation between flake powder metallurgy parameters and properties of AA2024-SiC nanocomposites. The input parameters of the model are AA 2024 matrix size, ball milling time, and weight percentage of SiC nanoparticles and the output parameters are density and hardness. The model can predict the density and hardness of the unseen test data with a correlation of 0.986 beyond the experimental data. A user interface is designed to predict properties at new instances. We have used the model to simulate the individual as well as the combined influence of parameters on the properties. Moreover, we have analyzed the calculated results from the powder metallurgical point of view. The developed model can be used as a guide for further composite development.

• 한국기후변화학회지
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• 제9권1호
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• pp.31-45
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• 2018

This study implemented the prediction of drought properties (number of drought events, intensity, duration) using the user-oriented systematical procedures of downscaling climate change scenarios based the multiple global climate models (GCMs), AIMS (APCC Integrated Modeling Solution) program. The drought properties were defined and estimated with Effective Drought Index (EDI). The optimal 10 models among 29 GCMs were selected, by the estimation of the spatial and temporal reproducibility about the five climate change indices related with precipitation. In addition, Simple Quantile Mapping (SQM) as the downscaling technique is much better in describing the observed precipitation events than Spatial Disaggregation Quantile Delta Mapping (SDQDM). Even though the procedure was systematically applied, there are still limitations in describing the observed spatial precipitation properties well due to the offset of spatial variability in multi-model ensemble (MME) analysis. As a result, the farther into the future, the duration and the number of drought generation will be decreased, while the intensity of drought will be increased. Regionally, the drought at the central regions of the Korean Peninsula is expected to be mitigated, while that at the southern regions are expected to be severe.

• 융합정보논문지
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• 제8권6호
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• pp.335-341
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• 2018

본 논문은 2D 지도에 증강현실 기술을 접목하며 2D정보와 3D정보를 혼합한 새로운 형태의 모바일 기기에 탑재될지도 콘텐츠에 대한 연구이다. 또한 본 논문의 이해를 돕기 위해 Unity3D 엔진을 이용하여 제작한 'NSU AR Map'이라는 3D 지도 어플리케이션의 기획부터 제작까지를 기술하였다. 'NSU AR Map'은 사용자의 위치를 정확히 파악할 수 있는 정확성과 360 View를 통한 실제 모습까지 파악이 가능하게 한 지도 어플리케이션이다. 이 논문을 통해서 3D 지도 어플리케이션의 제작과정에서 얻은 경험을 토대로 3D화 시킨 요소들과 증강현실의 기술이 새로운 지도 어플리케이션에 어떻게 작용되며 앞으로의 발전 가능성에 대한 방향성을 제시하고자 한다.

• 품질경영학회지
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• 제46권4호
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• pp.923-938
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• 2018

Purpose: O2O service are becoming popular in various industries such as food delivery and taxi. This research explores how users' motivation of O2O service influence customer loyalty through expectation-confirmation and satisfaction. this study attempts to explore the motivation factor (i.e. pricing, enjoyment, immediately, social influence) and to empirically examine the relationships between those and users' loyalty to O2O service. Methods: To test the proposed research model, a survey research methodology was used. Paper survey was distributed to O2O service users in Korea. A total of 198 data were used for the analysis. Structural equation modeling was used to test hypotheses. Results: According to our findings, this study found that satisfaction was positively influenced by users' motivation factors. all hypotheses about the effect of motivation on expectation-confirmation were statistically not significant. Conclusion: O2O service providers should consider the results of this study to satisfy users' expectations and satisfaction for building a better O2O market.

• The Journal of Asian Finance, Economics and Business
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• 제8권9호
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• pp.121-130
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• 2021

In the mobile industry, customer complaints play a significant role in retaining customer loyalty to the services provided. Thanks to user complaints, mobile service providers can effectively identify problems and then propose solutions to adapt or improve their services. Hence, it's critical to understand the relationship between consumer complaints and satisfaction with mobile services. While several studies have shown that customer satisfaction is an intermediary variable that explains customer complaint intention, there have been few studies on the relationship between pre-determinants of their satisfaction, leaving a gap in our understanding of customer complaint intention. To demonstrate an in-depth approach to this matter, authors revisit justice theory and suggest trust and perceived responsibility variables be combined into a research model. A cross-section survey was conducted to collect data from 265 mobile services users of the three biggest mobile service providers in Kien Giang Province, Vietnam. This study employed Structural Equation Modeling (SEM) method to analyze the samples collected. The result showed that customer complaint intention is affected by distributive justice, interactional justice, trust but not procedural justice. Additionally, the moderating role of the perceived responsibility variable to the relationship between customer satisfaction and complaint intention is also proved.

• The Journal of Asian Finance, Economics and Business
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• 제8권2호
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• pp.1025-1032
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• 2021

The study investigates factors affecting the loyalty of Food Delivery Application (FDA) service in Thailand. This study employs quantitative research methodology with a non-probability sampling method to draw 510 FDA samples from the FDA users in Thailand. The online questionnaires with a Cronbach's alpha coefficient of 0.886 were used as a research tool to collect data from samples. By using the Structural Equation Modeling (SEM) to analyze data, the results show that trustworthiness, social influence, system design, and task-technology fit affect the user's technology acceptance, which also show the significant relationship with the loyalty of FDA users in Thailand. The study checks the harmony with the statistics; χ2 = 258.686, df. =160, χ2/df. = 1.616, p-value = 0.050, CMIN/DF = 1.616, GFI = 0.960, AGFI = 0.969, TLI = 0.953, CFI = 0.965, RMSEA = 0.047, significant level at 0.05, along with testing the weight factor. In conclusion, the research model was harmonious with the empirical data at the significant level 0.05. The finding of this study suggested that the FDA service provider might apply this research finding to develop a greater understanding of the FDA's customer loyalty, as well as determine marketing strategies, identify opportunities, and create a competitive advantage in the future.