• Computers and Concrete
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• 제32권6호
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• pp.577-594
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• 2023

Engineered cementitious composites with calcined clay limestone cement (LC³-ECC) as a kind of green, low-carbon and high toughness concrete, has recently received significant investigation. However, the complicated relationship between potential influential factors and LC³-ECC compressive strength makes the prediction of LC³-ECC compressive strength difficult. Regarding this, the machine learning-based prediction models for the compressive strength of LC³-ECC concrete is firstly proposed and developed. Models combine three novel meta-heuristic algorithms (golden jackal optimization algorithm, butterfly optimization algorithm and whale optimization algorithm) with support vector regression (SVR) to improve the accuracy of prediction. A new dataset about LC³-ECC compressive strength was integrated based on 156 data from previous studies and used to develop the SVR-based models. Thirteen potential factors affecting the compressive strength of LC³-ECC were comprehensively considered in the model. The results show all hybrid SVR prediction models can reach the Coefficient of determination (R²) above 0.95 for the testing set and 0.97 for the training set. Radar and Taylor plots also show better overall prediction performance of the hybrid SVR models than several traditional machine learning techniques, which confirms the superiority of the three proposed methods. The successful development of this predictive model can provide scientific guidance for LC³-ECC materials and further apply to such low-carbon, sustainable cement-based materials.

• Journal of information and communication convergence engineering
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• 제20권3호
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• pp.219-225
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• 2022

In this study, we propose training a support vector machine (SVM) model on top of deep networks for detecting Covid-19 from chest X-ray images. We started by gathering a real chest X-ray image dataset, including positive Covid-19, normal cases, and other lung diseases not caused by Covid-19. Instead of training deep networks from scratch, we fine-tuned recent pre-trained deep network models, such as DenseNet121, MobileNet v2, Inception v3, Xception, ResNet50, VGG16, and VGG19, to classify chest X-ray images into one of three classes (Covid-19, normal, and other lung). We propose training an SVM model on top of deep networks to perform a nonlinear combination of deep network outputs, improving classification over any single deep network. The empirical test results on the real chest X-ray image dataset show that deep network models, with an exception of ResNet50 with 82.44%, provide an accuracy of at least 92% on the test set. The proposed SVM on top of the deep network achieved the highest accuracy of 96.16%.

• 한국정보시스템학회지:정보시스템연구
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• 제17권2호
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• pp.49-72
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• 2008

Today, the World Wide Web (WWW) impacts many facets of our lives, including communication, entertainment, social activities, shopping, etc. The web portal is the most accessed type of site and is advertising-supported the more users who visit the site, the more income it generates. User perception to a web site is very important much research has focused on the internet users' behavior. Some well-known theories, such as the technology acceptance model have been used to examine variables that motivate individuals to accept and use an IS. But Understanding continued use is the goal of this study. We focus on user beliefs (specifically, perceived usefulness) and attitude because pier studies of IT usage, predominantly based on the technology acceptance model (TAM) and similar models, have established these perceptions as the dey determinants of both initial IT usage (acceptance) and long-term usage (continuance) intention and behavior (Bhattacherjee 2001; Davis et al. 1989). Any change in beliefs or attitudes will likely have a corresponding impact on, and may even revers, users' continuance intention and behavior. Also, continuance use have some features which are prior use, habit, feature-centric view of technology. So this research reflected continuance use features. Examination of the paths in the model revealed several interesting results. First, Perceived usefulness was a stronger predictor of acceptance intention in TAM than attitude, But attitude was a stronger predictor of continuance intention in this study than perceive usefulness. Second, confirmation was not affect directly to attitude. Last, Habit was strongest predictor of continuance intention in this study.

• 유통과학연구
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• 제15권4호
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• pp.69-78
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• 2017

Purpose - The study was AI as exploratory study on artificial intelligence (AI) shopping information services, to explore the possibility of a new business of the distribution industry. For research, we compare to IBM of consumer awareness surveys an AI shopping information service for retailing channel and target goods group. Finally, we present to service scenario for distribution service using AI. Research design, data, and methodology - First, to identify possible the success of the information service shopping using AI, AI technology for the consumer is very important for the acceptance of judgement. Therefore, we explored the possibility of AI information service for business as a shopping. The experimental data were used to interpret the meaning of the relevant literature and the IBM Institute of Business Value (IBV) Report 2015. This research is based on the use of a technical acceptance model (TAM) to determine whether the consumer would adopt the 'AI shopping information service' technology. Step 1 of the process assumes that the consumer adopts AI technology. In step 2, consumers find their preference channels and goods targeted at them as per their preferences. Finally Step 3, we present scenario for 'AI shopping information service' based on the results of Step 1 and 2. Results - Consumers have expressed their high interests in the new shopping information services, especially the on/off line distribution channels can use shopping information to increase the efficiency in provision of goods. Digital channel (such as SNS, online shopping etc.) is especially high value goods such as cars, furniture, and home appliances by displaying it to an appropriate product group. Conclusions - The study reveals the potential for the use of new business models such as 'AI shopping information service' by the distribution industry. We present seven scenario related AI application refer from IBM suggestion, and the findings would enable the distribution industry to approach target consumers with their products, especially high value goods. 'Shopping advisor' is considered to the most effective. In order to apply to the other field of the distribution industry business, which utilizes AI technology, it should be accompanied by additional empirical data analysis should be undertaken.

• 한국정보시스템학회지:정보시스템연구
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• 제17권4호
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• pp.99-127
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• 2008

E-learning becomes an important part of education these days in Korea. Students had no choice but to accept the e-learning when the e-learning was used as a supplementary learning tool within a traditional class or a stand-alone distance education. This study focuses on the students' intention of e-learning acceptance for voluntary studies. In voluntary study, students have the rights to adopt the e-learning or not for their personal study. We used individual characteristics as the external variables of TAM to explain user acceptance of e-learning for voluntary studies and examined the effect of individual characteristics on user's beliefs. Research model and nine hypotheses were set up to identify the relationships among these variables based on investigations of previous researches. The theoretical model is tested with questionnaires from 420 users who accept e-learning for voluntary studies. We tested the measurement and research models by applying a structural equation modeling(SEM) approach, using the AMOS 5.0. Overall, the results provided support for the model as explaining acceptance of an e-learning system. Most path coefficients in the research model were found statistically significant. The results showed usefulness and enjoyment and subject norm were the factors affecting attitude of students using e-learning. In addition, usefulness and subject norm were the factors affecting intention of students using e-learning. The results show innovation and self-efficacy have a significant impact on user's perception of ease of use. Self-efficacy also have significant effects on user's perception of usefulness.

• 한국기록관리학회지
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• 제11권1호
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• pp.231-252
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• 2011

이 논문은 문화유산기관 아카이브 포탈의 대중화와 지속적인 이용을 위해 퀄리티 포탈에 필요한 요소들을 살펴보았다. 이용자에 대한 이해가 문화유산기관 아카이브 포탈의 성공에 결정적임에도 불구하고 많은 연구가 되어오지 않은 점을 감안하여, 타 포탈들의 퀄리티 분석에 적용된 이용자 중심 평가모델들을 정리하였다. Intrinsic bias를 피하기 위해 triangulation 방법론을 선택하였으며, 이에 서비스 품질(Service Quality), 데이타 품질(Data Quality), 그리고 기술수용모델(Technology Acceptance Model: TAM)을 분석 정리하여 문화유산기관의 아카이브 포탈에 적합한 평가모델을 제시하였다. 제시된 평가모델을 검증하기 위한 99 항목 설문도 제안하였다. 후속 연구에서는 설문의 타당성과 평가모델의 적합성이 실증적으로 검증될 계획이다.

• 한국산업정보학회논문지
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• 제26권3호
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• pp.59-69
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• 2021

글로벌 물류 기업은 경쟁력 있는 물류서비스를 제공하기 위해 물류시스템을 개발 및 도입하고 있으며, 특히, IT가 발달하고 모바일 기능이 보다 편리해짐에 따라 모바일 운송관리시스템(Transportation Management System : TMS)이 일반 택배 기사들이나 회사 내 사무직 관리자들도 쉽게 사용할 수 있도록 보다 편리한 시스템으로 도입되고 있다. 그러나 이러한 시스템의 성공여부는 이 시스템 개발자가 현장을 정확히 이해하고 현장에서 그 시스템을 사용하고 있는 사무 관리자와 택배기사들이 능동적으로 그 시스템을 이해하고 적극적으로 이용하는데 달렸다. 본 논문의 목적은 이 시스템을 이용하는 사용자의 태도를 중심으로 새로운 시스템 이용에 있어서 시스템 수용에 어느 특성이 영향을 미치는지를 알기 위함이며 이를 기술수용모델(Technology Acceptance Model : TAM)를 통하여 분석하였다. 분석 결과에 따르면 스마트폰이 대중화된 요즘에는 사용자들이 시스템 수용에 있어 용이성보다 유용성이 유의하다는 결론을 얻었다. 이에 따라 시스템 개발 시 용이성이 아닌 유용성에 중점적으로 관심을 가져야 한다는 시사점을 도출하였다.

• 한국IT서비스학회지
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• 제8권2호
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• pp.23-41
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• 2009

UCC paradigm based on Web 2.0 has made new business models and came to the forefront as a commercial media. The purpose of this study is to analyze the customer attitudes toward UCC and its effects as a commercial media. Based on prior studies of Internet and Web advertising, informativeness, entertainment, irritation, trust, usefulness, ease of use, incentives, and flow were identified as affecting factors of the attitude of UCC advertising. Results show that informativeness, entertainment, irritation, trust, ease of use, and flow are significantly related to the attitude of UCC advertising, but usefulness and incentives are not. Customer attitude toward UCC advertising was also found to be significantly related to the such effects as brand attitude, word of mouth, and intention to buy. This study contributes to improve the understanding of UCC as a commercial media and provides the base of activation strategies for it.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1997년도 추계학술대회 학술발표 논문집
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• pp.247-251
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• 1997

FCM(Fuzzy Cognitive Map) is a fuzzy signed directed graph for representing causal reasoning which has fuzziness between causal concepts. Authors have already proposed FCM-based fault diagnostic scheme and verified its usefulness. However, the previously proposed scheme has the problem of lower diagnostic resolution as in the case of other qualitative approaches. In order to improve the diagnostic resolution, a concept of fuzzy number is introduced into the basic FCM-based fault diagnostic algorithm. By incorporation the fuzzy number into fault FCM models, quantitative information such as the transfer gain between the state variables can be effectively utilized for better diagnostic resolution. Furthermore, an enhanced TAM(Temporal Associative Memory) recall procedure and modified and modified pattern matching scheme are also proposed.

• Asia pacific journal of information systems
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• 제16권2호
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• pp.27-46
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• 2006

As an extension of Technology Acceptance Models (TAM), the relative importance of perceived usefulness (PU) and perceived ease of use (PEU) in adopting two different mobile services are examined using service compatibility and user trust as moderating variables. This research shows that PEU is a relatively more important factor in the adoption of new mobile services when the new mobile services are highly compatible with existing services, while trust is an important influential factor in the adoption of services with a relatively low service compatibility. Trust does not significantly change the relative importance of PEU in the adoption of highly compatible mobile services, while the user's trust changes the importance of PU in the adoption process for the mobile services with relatively low service compatibility.