• Journal of Information Management
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• v.38 no.3
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• pp.137-160
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• 2007

The purpose of this study is to examine the meaning and status of the current service of academic libraries in the aspect of its supporting roles for academic courses. The research methods include an examination of model cases from the U.S.A. and Hong Kong and also an electronic questionnaire survey of 32 academic libraries in Korea(67% response rate). With the result of the research analysis, this study aimed to provide optimal administrative plans in e-learning environment.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.3
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• pp.275-284
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• 2023

Land monitoring involves systematically understanding changes in land use, leveraging spatial information such as satellite imagery and aerial photographs. Recently, the integration of deep learning technologies, notably object detection and semantic segmentation, into land monitoring has spurred active research. This study developed a web service to facilitate such integrations, allowing users to analyze aerial and drone images using CNN models. The web service architecture comprises AI, WEB/WAS, and DB servers and employs three primary deep learning models: DeepLab V3, YOLO, and Rotated Mask R-CNN. Specifically, YOLO offers rapid detection capabilities, Rotated Mask R-CNN excels in detecting rotated objects, while DeepLab V3 provides pixel-wise image classification. The performance of these models fluctuates depending on the quantity and quality of the training data. Anticipated to be integrated into the LX Corporation's operational network and the Land-XI system, this service is expected to enhance the accuracy and efficiency of land monitoring.

• Journal of information and communication convergence engineering
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• v.19 no.2
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• pp.73-78
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• 2021

As interest in beauty has increased, various studies have been conducted, and related companies have considered the anthropometric data handled between humans and interfaces as an important factor. However, owing to the nature of 3D human body scanners used to extract anthropometric data, it is difficult to accurately analyze a user's body shape until a service is provided because the user only scans and extracts data. To solve this problem, the body shape of several users was analyzed, and the collected anthropometric data were obtained using a 3D human body scanner. After processing the extracted data and the anthropometric data, a custom deep learning model was designed, the designed model was learned, and the user's body shape information was predicted to provide a service suitable for the body shape. Through this approach, it is expected that the user's body shape information can be predicted using a 3D human body scanner, based upon which a beauty service can be provide.

• Journal of Korea Society of Industrial Information Systems
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• v.12 no.5
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• pp.173-182
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• 2007

e-Learning can be seen as not only one of Internet based information systems which can provide education services, but also one of teaching-learning methods which can implement self-directed learning. This paper tests factors affecting the e-Learning performance based on information systems success model and self-efficacy theory using a field study. Questionnaires are collected from 216 students who are enrolling a e-learning class using online survey. The results are following: first, the service quality and self-efficacy are significant predictors of use intention, but system quality and information quality are not. second, the system quality, information quality, service quality and self-efficacy are significant predictors of user satisfaction. Third, use intention and user satisfaction are found to be a strong predictor of the learning performance.

• Journal of Digital Convergence
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• v.8 no.2
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• pp.217-228
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• 2010

There are two streams on e-Learning. The first one is to create new value through aligning products included information systems and service. The second one is to utilize the service system and the service process for service systematization. The service system is made up human, technology, value proposition, service network, and shared information. The service process consists of design, development, operation and evaluation phases. In this paper, we design and implement the evaluation management of e-learning service based on the service science. The evaluation management service is sets of evaluation type management, general review management, award management, evaluation sheet management and evaluation result management. Feature of this paper is that we can service with different criteria to learner, guardian and evaluator. The worthy of this paper is that we construct service oriented environment possible to systematize evaluation work easily and provide evaluation results clearly.

• Journal of Information Technology Applications and Management
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• v.17 no.2
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• pp.155-173
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• 2010

Although online education service markets are growing fast, previous studies have been limited to the studies on media types or system qualities of online education. In order to provide timely implications for online education service providers to maintain and increase the number of users, other factors such as interactivity and community perspectives should be considered. In this study, social capital and service quality were adopted as antecedents of learning motivation. Also, service quality dimensions, as well as learning motivation, were chosen to examine its impact on intention to repurchase of online education services. Research findings show that structural and cognitive dimensions of social capital are proved as antecedents of relational capital; structural and relational social capital positively influence on learning motivation; tangibility positively makes impact on learning motivation; and intention to repurchase is positively influenced by responsiveness and learning motivation. Practical implications based on the research findings are presented.

• The Journal of Information Systems
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• v.12 no.2
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• pp.41-56
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• 2003

The objective of this study is to explore the effects of e-teaming users' self-efficacy and perceived service quality for e-teaming staffs such as instructors or teaching assistants on two main perceptions for e-learning systems in a view of information technology - perceived ease of use and perceived usefulness which have been considered as important antecedents for acceptance of information technology so called in Technology Acceptance Model. For this purpose, we suggest a research model and test it empirically by sampling in students of virtual universities. In result, all hypotheses except the relationship between academic self-efficacy and perceived usefulness are accepted. This result implies that self-efficacy for computers and service quality for staffs such as instructors or teaching assistants should be considered as important ones for success of e-learning systems in addition to those related with information technology.

• Journal of information and communication convergence engineering
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• v.17 no.1
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• pp.8-13
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• 2019

Smart Farming has been regarded as an important application in information and communications technology (ICT) fields. Selecting crops for cultivation at the pre-production stage is critical for agricultural producers' final profits because over-production and under-production may result in uncountable losses, and it is necessary to predict crop production to prevent these losses. The ITU-T Recommendation for Smart Farming (Y.4450/Y.2238) defines plan/production consultation service at the pre-production stage; this type of service must trace crop production in a predictive way. Several research papers present that machine learning technology can be applied to predict crop production after related data are learned, but these technologies have little to do with standardized ICT services. This paper clarifies the relationship between agricultural consultation services and predicting crop production. A prediction scheme is proposed, and the results confirm the usability and superiority of machine learning for predicting crop production.

• Proceedings of the Korea Information Processing Society Conference
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• 2018.05a
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• pp.183-186
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• 2018

In this paper, we propose the database design for skill learning service through the internet from the viewpoint of service engineering. This paper we describe the outlines for a design theory for skill learning service, which can lead to the satisfaction of both learner and instructor. Compared to other services, motion control learning takes a considerable amount of time, and this leads to a difficulty for learners to rate the quality of the service as well as for the instructors to provide consistent quality and standard of teaching. To solve these problems, we use a relational database with MongoDB which is an unstructured database allowing to flexibly incorporate the demands of both learner and instructor into the database itself.

• Journal of Korea Society of Digital Industry and Information Management
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• v.15 no.1
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• pp.87-97
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• 2019

Reaction of people is importantly considered about specific case as a social network service grows. In the previous research on analysis of social network service, they predicted tendency of interesting topic by giving scores to sentences written by user. Based on previous study we proceeded research of sentiment analysis for social network service's sentences, which predict the result as positive or negative for movie reviews. In this study, we used movie review to get high accuracy. We classify the movie review into positive or negative based on the score for learning. Also, we performed embedding and morpheme analysis on movie review. We could predict learning result as positive or negative with a number 0 and 1 by applying the model based on learning result to social network service. Experimental result show accuracy of about 80% in predicting sentence as positive or negative.