• Journal of the Korean Wood Science and Technology
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• v.20 no.1
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• pp.86-91
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• 1992

• Magazine of the Korean Society of Agricultural Engineers
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• v.64 no.3
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• pp.53-61
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• 2022

• Journal of Intelligence and Information Systems
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• v.11 no.1
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• pp.65-93
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• 2005

Expert system implementation of human expert's diagnosis in art psychotherapy requires extensive knowledge on: (1) characteristics in a drawing; (2) psychological symptoms in a client; (3) relationships between the characteristics and the symptoms; (4) decision process; (5) knowledge elicitation and aquisition methods. Experts from many different fields provide such knowledge, ranging from art therapists who is on the spot, psychiatrists, psychologists, artists to knowledge engineers who know how to implement the decision system to a computer. The problems that make the implementation difficult are the expert's complex decision process and the ambiguity, the inconsistency and even the contradiction in the huge volume of the knowledge. Modeling the expert's decision process, we develope a framework of the system and then analyze and classify the knowledge. With the proposed classification, we present a suitable method of knowledge elicitation and aquisition. Then, we describe the subsets of knowledge in a unified structure using the ontology concept and Protege 2000 as a tool. Finally, we apply the system to a real case to show its usability and suitability.

• Design Convergence Study
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• v.16 no.4
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• pp.1-16
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• 2017

As the local manufacturing industry has entered a phase of stagnation, service and product design based on user experience has been highlighted as an alternative for the innovation. However, SMEs(Small and Medium-sized Enterprises) are still struggling to overcome the current crisis. One of the reasons is that SMEs do not have enough contact points with the validated UX firms and experts. Thus, SMEs has a high barrier to invest in new opportunity area, user experience. In this study, we aim to figure out UX experts' competence to perform the UX method to solve the UX problems based on the KSA framework(Knowledge, Skill, Attitude). Based on the literature review and expert workshop, we grouped the UX method according to the similarity of the competence required to conduct the method. With cluster analysis, 5 different groups of UX method were defined based on the competence, Panoramic Analysis, Meticulous Observation and Analysis, Intuitive Interpretation, Agile Visualization, and Logical Inspection. The results would be applied to compose a portfolio of UX experts and to implement a mechanism that could recommend the professional experts to the company.

• The Journal of Korean Institute for Practical Engineering Education
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• v.2 no.2
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• pp.165-171
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• 2010

Usability heuristics("heuristics") are general principles for usability evaluation during user interface design. Our ultimate goal is to extend the practice of usability evaluation methods to a wider audience(e.g. user interface designers and engineers) than Human Computer Interaction(HCI) professionals. To this end, we explored the degree to which Jakob Nielsen's ten usability heuristics are understood by professors and students in design and computer engineering. None of the subjects received formal training in HCI, though some may have had an awareness of some HCI principles. The study identified easy-to-understand heuristics, examined the reasons for the ambiguities in others, and discovered differences between the responses of professors and students to the heuristics. In the course of the study, the subjects showed an increased tendency to think in terms of user-centric design. Furthermore, the findings in this study offer suggestions for improving these heuristics to resolve ambiguities and to extend their practice for user interface designers and engineers.

• The Journal of the Convergence on Culture Technology
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• v.8 no.5
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• pp.631-639
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• 2022

Recently, the government is trying to change the paradigm of occupational safety by enforcing the entire revision of the Industrial Safety and Health Act and the Punishment of Serious Accidents Act with the goal of reducing the occupational accident and death rate by half. In particular, small-scale workplaces with less than 50 employees or less than 100 million won have difficulties in establishing a safety and health management system due to lack of safety and health management competency and lack of will of business owners. Therefore, this study attempted to identify problems and suggest improvement measures through an expert survey on the overall business area of the small business safety and health technology support project, which is one of the government's policies.

• Journal of the Korean Society for Precision Engineering
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• v.4 no.4
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• pp.6-12
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• 1987

지능화(Intelligence) 전반적인 경향 : 생산분야에 있어서의 지능화는 인공지능(AI)기법이 활용되면서 부터 관심을 모으게 되었다. AI기법이라고 하여도 그에 관련된 기술은 Software기술, 지식표현과 같은 기초기술 에서 부터, 지식공학, 화상인식 이해, 자연언어 이해, 음성이해 등의 응용기술에 이르기까지 다양한 분야를 포함하고 있다. 여기서는, 최근 실용화 면에서 주목을 받고 있는 지식공학의 실용 또는 그 응용시스템인 expert system(전문가시스템)에 주목하면서, 설계와 공정설계 중에 최근의 AI활용과 동향을 요약해 보기로 한다.

• Annual Conference of KIPS
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• 2020.11a
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• pp.1101-1103
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• 2020

시스템은 VR과 Tracker를 이용하여 사용자의 자세를 실시간으로 인식하고 특정한 자세를 유도하여 바른 자세를 취하는지 확인하는 자세교정 시스템이다. VR을 이용하여 시간과 공간에 구애받지 않고 전문가의 도움을 받는 것과 유사한 효과의 자세교정을 수행할 수 있다.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.10
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• pp.691-696
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• 2013

To develop of a new software, software development methodology is offering the most efficient development methods and management methods. But, it require a lot of time, cost and software engineering specialist. For this reason, we are awaking to the need of it, but it has its problem that is only applied to large-scale software. In this paper, we suggest optimized software development methodology that you can apply to a lot well-used small software development methodology in present, and we prove it through AHP(Analytic Hierarchy Process). This helps small and business not to introduce specialist can efficiently develop and manage software.

• Smart Media Journal
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• v.11 no.5
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• pp.26-37
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• 2022

In this paper, images are automatically acquired to control the initial disease of strawberries among facility cultivation crops, and disease analysis is performed using the EfficientNet model to inform farmers of disease status, and disease diagnosis service is proposed by experts. It is possible to obtain an image of the strawberry growth stage and quickly receive expert feedback after transmitting the disease diagnosis analysis results to farmers applications using the learned EfficientNet model. As a data set, farmers who are actually operating facility cultivation were recruited and images were acquired using the system, and the problem of lack of data was solved by using the draft image taken with a cell phone. Experimental results show that the accuracy of EfficientNet B0 to B7 is similar, so we adopt B0 with the fastest inference speed. For performance improvement, Fine-tuning was performed using a pre-trained model with ImageNet, and rapid performance improvement was confirmed from 100 Epoch. The proposed service is expected to increase production by quickly detecting initial diseases.