• Journal of Information Technology Services
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• v.22 no.4
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• pp.1-19
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• 2023

This study is a study on the effect of technical readiness factors on counselors' intention to use when applying AICC. AICC counselors experience improved customer service and emotional stability by receiving various monitor notification window services based on artificial intelligence algorithms such as customer counseling history, prohibited word control system, and customized counseling system. Accordingly, this study tried to verify using factors derived from technology readiness theory and technology acceptance theory among the factors affecting the intention to continue using AICC provided to counselors. To verify the research hypothesis, the causal relationship between variables such as Optimism, Innovativeness, Discomfort, Insecurity, and Technology Acceptance Theory, such as Team Support, Ease of Usage, and Innovation Resistance, was verified. As a result of empirical analysis, first, it was verified that Optimism has a positive (+) effect on Team Support and Ease of Usage, and Discomfort and Insecurity have a negative (-) effect on Ease of Usage and Team Support. Second, it was confirmed that Team Support and Ease of Usage had a positive effect on the Intention to use AICC. Based on the above empirical analysis results, the concepts of Technical Readiness were clearly proved, and in practical terms, AICC helped inquiry, quality evaluation, recording, and management of counseling history, ultimately increased corporate work efficiency.

• Journal of the Korea Safety Management & Science
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• v.26 no.1
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• pp.45-53
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• 2024

A Smart factories are systems that enable quick response to customer demands, reduce defect rates, and maximize productivity. They have evolved from manual labor-intensive processes to automation and now to cyber-physical systems with the help of information and communication technology. However, many small and medium-sized enterprises (SMEs) are still unable to implement even the initial stages of smart factories due to various environmental and economic constraints. Additionally, there is a lack of awareness and understanding of the concept of smart factories. To address this issue, the Cooperation-based Smart Factory Construction Support Project was launched. This project is a differentiated support project that provides customized programs based on the size and level of the company. Research has been conducted to analyze the impact of this project on participating and non-participating companies. The study aims to determine the effectiveness of the support policy and suggest efficient measures for improvement. Furthermore, the research aims to provide direction for future support projects to enhance the manufacturing competitiveness of SMEs. Ultimately, the goal is to improve the overall manufacturing industry and drive innovation.

• Journal of Digital Convergence
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• v.20 no.1
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• pp.47-54
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• 2022

The purpose of this study was to derive policy priorities for fostering the biopharmaceutical industry. In this study, the urgency and importance of the policy to foster the biopharmaceutical industry in Gyeonggi-do was investigated, and the priorities of the policy in the biopharmaceutical industry were analyzed through IPA analysis. As a result of the study, the top priority support tasks for the biopharmaceutical industry promotion policy were 'R&D support', 'Expert training', and 'commercialization support'. As a result of deriving policy priorities for each biopharmaceutical sector, 'R&D support' and 'Expert training' were found to be high in common, and differences in policy priorities for each industry such as cell therapy products and advanced bio-convergence products were confirmed. Also, as for the policy demand, R&D funding support, clinical trial support, and commercialization funding support were found to be high. Based on these results, the government's policy to foster the biopharmaceutical industry was supported with a focus on 'R&D support' and 'Expert training', and policy implications were drawn that customized support is needed in consideration of the characteristics of each industry field.

• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.89-96
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• 2024

This study confirmed the effect of the employment support program on college students' grit and employment preparation behavior, and confirmed the post-program experience, change, and need for employment support. Data from a total of 39 people who participated in the employment support program were analyzed. The employment support program was conducted for 8 weeks starting August 29, 2022. A survey were conducted before and after the program, and interviews were conducted with 8 people afterwards. Descriptive statistics and t-test were used for data analysis, and interview content was analyzed. As a result of the study, the participants' employment preparation behavior significantly increased after the employment support program was implemented. Also, the employment support program helped prepare for realistic employment and set a direction, and improved confidence in employment. Therefore, expansion of employment support programs and customized employment support to improve college students' employment capabilities are necessary.

• Journal of the Korean Society for information Management
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• v.38 no.2
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• pp.1-18
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• 2021

An academic library is one of the largest information sources for international students to obtain learning resources, which have a great impact on their studies. However, most academic libraries currently have not provided adequate multilingual services except English, which makes it difficult for international students whose mother language is not English to perform academic work. Accordingly, the present study defines the customized services for international students as the ones that have been supported in ltiple languages among academic library services and aims to examine their effect on user satisfaction in academic libraries. Furthermore, the study has compared international students' satisfaction with academic libraries - one that provides appropriate customized services with the other that does not. The surveys have been conducted with Chinese international students in two different universities and a total of 138 responses were analyzed. The study found that the customized services for the international students influenced their satisfaction with library use. In particular, multilingual services had positive effects on satisfaction with services such as brochures/signs, access to and use of resources through the homepage, and user instruction. The findings of the study suggest practical insights on how academic libraries provide effective services for supporting international students' academic tasks.

• Nuclear Engineering and Technology
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• v.46 no.5
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• pp.719-724
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• 2014

During the development process of a thermal-hydraulic system code, a non-regression test (NRT) must be performed repeatedly in order to prevent software regression. The NRT process, however, is time-consuming and labor-intensive. Thus, automation of this process is an ideal solution. In this study, we have developed a program to support an efficient NRT for the SPACE code and demonstrated its usability. This results in a high degree of efficiency for code development. The program was developed using the Visual Basic for Applications and designed so that it can be easily customized for the NRT of other computer codes.

• Journal of Internet Computing and Services
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• v.24 no.1
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• pp.39-47
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• 2023

The development of autonomous driving and Advanced Driver Assistance System (ADAS) technology has grown rapidly in recent years. As most traffic accidents occur due to human error, self-driving vehicles can drastically reduce the number of accidents and crashes that occur on the roads today. Obviously, technical advancements in autonomous driving can lead to improved public driving safety. However, due to the current limitations in technology and lack of public trust in self-driving cars (and drones), the actual use of Autonomous Vehicles (AVs) is still significantly low. According to prior studies, people's acceptance of an AV is mainly determined by trust. It is proven that people still feel much more comfortable in personalized ADAS, designed with the way people drive. Based on such needs, a new attempt for a customized ADAS considering each driver's driving style is proposed in this paper. Each driver's behavior is divided into two categories: assertive and defensive. In this paper, a novel customized ADAS algorithm with high classification accuracy is designed, which divides each driver based on their driving style. Each driver's driving data is collected and simulated using CARLA, which is an open-source autonomous driving simulator. In addition, Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) machine learning algorithms are used to optimize the ADAS parameters. The proposed scheme results in a high classification accuracy of time series driving data. Furthermore, among the vast amount of CARLA-based feature data extracted from the drivers, distinguishable driving features are collected selectively using Support Vector Machine (SVM) technology by comparing the amount of influence on the classification of the two categories. Therefore, by extracting distinguishable features and eliminating outliers using SVM, the classification accuracy is significantly improved. Based on this classification, the ADAS sensors can be made more sensitive for the case of assertive drivers, enabling more advanced driving safety support. The proposed technology of this paper is especially important because currently, the state-of-the-art level of autonomous driving is at level 3 (based on the SAE International driving automation standards), which requires advanced functions that can assist drivers using ADAS technology.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.9 no.4
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• pp.323-329
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• 2016

This paper describes an insole FFO(Functional Foot Orthosis) model for comfortable walking by considering weight distribution. There are many ways to make an insole FFO model such as using 3D computer graphics, or plaster manually. Thus, we proposed a standardized way to make an insole model, specifically called, robust and automatically personalized deformable insole model. Our proposed method showed 0.8cm average error compared between our proposed auto-deformable insole model and the other insole model manually deformed by experts. Therefore, our proposed method can be an efficient way to make a customized insole model with small error compared to the manually customized insole model.

• Journal of the Korea Society of Computer and Information
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• v.16 no.9
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• pp.19-26
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• 2011

Users want to receive customized service using users' personal device. To fulfill this requirement, the mobile device has to support a lot of functions. However, the mobile device has limitations such as tiny display screens. To solve this limitation problem and provide customized service to users, this paper proposes the environment to provide services by sharing resources and the method to recommend user-suitable resources among sharable resources. For the resource recommendation, This paper analyzes user's behavior pattern from usage history and proposes the method for recommending customized resources. This paper also shows that the approach is reasonable one for resource recommendation through the satisfaction evaluation.

• Journal of Digital Convergence
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• v.12 no.5
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• pp.395-401
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• 2014

As social network service becomes common, the consumers use many discount coupons with which they can purchase goods via social commerce. Although, the quantities of coupons offered from social commerce are currently on the sharp increase, customized coupon service that reflects user preference is not offered. This paper proposes a coupon service method reflecting user's subjective inclination targeting food coupons to offer customized coupon service for social commerce. Towards this end, this paper conducts hierarchization of the factors that become standard in selecting coupons including food types, food prices, discount rates and the number of buyers. And then, this study classifies, extracts and offers the coupons using Fuzzy-AHP, a decision making support method that reflects subjective inclination. From the user satisfaction results on the extracted coupons, the users are generally satisfied: very satisfactory with 45%, satisfactory with 33% and fair with 22%, and there was no experiment participant, who was dissatisfied.