• Korean Management Science Review
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• v.18 no.1
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• pp.135-145
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• 2001

In recent environment of dynamic management, there is growing recognition that information and knowledge management systems are essential for efficient/effective decision making by CEO. To cope with this situation, we suggest the Data-Miming scheme as a key component of integrated information and knowledge management system. The proposed system measures business performance by considering both VA(Value-Added), which represents stakeholder’s point of view and EVA (Economic Value-Added), which represents shareholder’s point of view. To mine the new information & Knowledge discovery, we applied the improved genetic algorithms that consider predictability, understandability (lucidity) and reasonability factors simultaneously, we use a linear combination model for GAs learning structure. Although this model’s predictability will be more decreased than non-linear model, this model can increase the knowledge’s understandability that is meaning of induced values. Moreover, we introduce a random variable scheme based on normal distribution for initial chromosomes in GAs, so we can expect to increase the knowledge’s reasonability that is degree of expert’s acceptability. the random variable scheme based on normal distribution uses statistical correlation/determination coefficient that is calculated with training data. To demonstrate the performance of the system, we conducted a case study using financial data of Korean automobile industry over 16 years from 1981 to 1996, which is taken from database of KISFAS (Korea Investors Services Financial Analysis System).

• The Journal of Korean Academic Society of Nursing Education
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• v.13 no.2
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• pp.162-168
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• 2007

Purpose: Patients hope to receive 'respected nursing' which guarantees the right of privacy and treatment as a human being in hospitals. However, no specific tool has been developed to measure patients' perceived respect from nurses while staying in hospitals. This study was conducted to develop a tool to measure the respect that they experience in hospital. Method: A basic questionnaire was made based on research literature, pilot studies, and collected data via patients' interviews. The questionnaire was verified by 5 members of an expert group, a chief nurse in the clinical area and 10 patients. We distributed the questionnaires to 266 randomly selected inpatients and carried out analyses of factors and content to evaluate the validity and reliability of the questionnaire. Result: According to the results of factor analyses, three factors such as 'cordial treatment', 'consideration', and 'recognition' were extracted, which took up to 61 percent from all variants. Final questionnaires has 30 questions on a 4-point scale. Conclusion: The questionnaire which was designed through the study showed a high reliability and validity. We anticipate that this questionnaire will contribute to fostering nursing care with respect for patients.

• Transactions of the Korean Society of Mechanical Engineers
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• v.16 no.10
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• pp.1833-1840
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• 1992

In the diagnostic process for automobile, Neuro-Fuzzy technique was compared with the conventional diagnostic method for the verification of performance, and proto-type system was developed. For the utilities of the system, 1/3 octave filter(band-pass filter) and A/D converter were used for data acquisition and then data were analyzed using octave band processing and pattern recognition using hamming network algorithm. In order to raise the reliability of the diagnostic results by considering many operating variables and condition of automobile to be diagnosed, fuzzy inference technique was applied in combining several information. The validation of this diagnostic system was examined through computer simulation and experiment, and it showed an acceptable performance for diagnostic process.

• Korean Institute of Interior Design Journal
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• no.7
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• pp.70-78
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• 1996

Artificial Intelligence is generally concerned with tasks whose execution appears to involve some intelligence if done by humans, and knowledge-based system ( in other word, expert system) is the research about the specific domain. This concept also can be applied to interior design field. So the purpose of this study is in reconstructing the accomplishment of artificial Intelligence and knowledge engineering, searching basic theories and cased to knowledge engineering , searching basic theories and cases to formulate knowledge -based design system, and testing the posibilities how the design information can be dealt in computer system. Given that recognition , two major problems must be solved before knowledge-based CAD systems could be come practical : Firstly , identification of the interior of designers use .Secondly , representing this knowledge in a computationally effective manner. I had discussed the basic concepts on which to base a knowledge- based design model, knowledge representation schemes, and problem solving, I could find the possibility which the knowledge-based system can be applied to the interior design according to this study. But there are non-deductive, often irrational and now easily computerized design process in interior design. Those are problems which are relevant to the machine learning and the creativity in design. So there should be a lot of research about the machine learning and the creatively in design in order to construct successfully intelligent knowledge-based design system.

• Knowledge Management Research
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• v.17 no.4
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• pp.77-104
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• 2016

The effective management of R&D employees is critical for a small or medium sized firm's sustainable growth. R&D employees have professional skills and choose expertise-oriented or management-oriented careers in the process of organizational socialization. This study synthetically verifies the direct and indirect effects of R&D employees' social network and self-esteem on their career orientation by organizational commitment based on social network theory and social recognition theory. The research model has been analyzed through structural equation modeling using survey responses from 220 R&D employees at small- and medium-sized firms in Korea. The analysis results show that internal network activities have direct and indirect impacts on organizational commitment and career orientation, but external network activities do not have significant effects on self-esteem, organizational commitment, or career orientation. There is no consensus in prior studies on whether expert orientation and management orientation are distinct concepts. In this study, these two types of orientation are verified as distinct concepts. It is also found that R&D employees' internal network activities are significant factors for a company's growth. A company should implement an educational system of roles and duties using which individuals can pursue career progression. In addition, it is necessary to provide career development programs such as job rotation, mentoring, and career counseling.

• Journal of Environmental Health Sciences
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• v.48 no.1
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• pp.19-27
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• 2022

The industrial development and socioeconomic structures of a society are inextricably linked to occupational accidents and diseases. Since the 1970s, a series of major occupational diseases have occurred in South Korea, such as mercury poisoning in Munsong-myeon, carbon disulfide poisoning at Wonjin Rayon, and leukemia at Samsung Electronics. These incidents have caused us to take a critical look at the level of worker safety and health management within companies and the government. These serve as symbolic and representational events. Doctors, lawyers, and labor activists concerned about employee safety and lives came together for years to struggle with the government and industry in order to determine what caused the diseases and to obtain compensation for victims. They finally achieved recognition for occupational diseases and recompense for losses. It is difficult to find similar cases to the baby powder asbestos talc cases and the radon bed case internationally, or there is no case where such a large number of consumers have been potentially harmed. It is also difficult to prove that the damage took place due to the victims' diverse geographic locations and ages, as well as the disease's long incubation period. Based on this premise, businesses and the government have been apathetic in acknowledging these diseases and compensating for damages, with few practical outcomes. Furthermore, unlike the large-scale occupational disease cases, only a few people including expert groups were organized and actively participated in the settlement of these issues, so it remains unfinished business for our society to address.

• International Journal of Computer Science & Network Security
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• v.23 no.4
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• pp.15-24
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• 2023

One of the objectives and aspirations of scientists and engineers ever since the development of computers has been to interact naturally with machines. Hence features of artificial intelligence (AI) like natural language processing and natural language generation were developed. The field of AI that is thought to be expanding the fastest is interactive conversational systems. Numerous businesses have created various Virtual Personal Assistants (VPAs) using these technologies, including Apple's Siri, Amazon's Alexa, and Google Assistant, among others. Even though many chatbots have been introduced through the years to diagnose or treat psychological disorders, we are yet to have a user-friendly chatbot available. A smart generative cognitive behavioral therapy with spoken dialogue systems support was then developed using a model Persona Perception (P2) bot with Generative Pre-trained Transformer-2 (GPT-2). The model was then implemented using modern technologies in VPAs like voice recognition, Natural Language Understanding (NLU), and text-to-speech. This system is a magnificent device to help with voice-based systems because it can have therapeutic discussions with the users utilizing text and vocal interactive user experience.

• Journal of Korea Society of Digital Industry and Information Management
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• v.20 no.2
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• pp.37-47
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• 2024

The food tech market, which uses artificial intelligence robots for the restaurant industry, is gradually expanding. Among them, the robot barista, a representative food tech case for the restaurant industry, is characterized by increasing the efficiency of operators and providing things for visitors to see and enjoy through a 24-hour unmanned operation. This research was conducted through text mining analysis to examine trends related to robot baristas in the restaurant industry. The research results are as follows. First, keywords such as coffee, cafe, certification, ordering, taste, interest, people, robot cafe, coffee barista expert, free, course, unmanned, and wine sommelier were highly frequent. Second, time, variety, possibility, people, process, operation, service, and thought showed high closeness centrality. Third, as a result of CONCOR analysis, a total of 5 keyword clusters with high relevance to the restaurant industry were formed. In order to activate robot barista in the future, it is necessary to pay more attention to functional development that can strengthen its functions and features, as well as online promotion through various events and SNS in the robot barista cafe.

• Journal of Digital Convergence
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• v.9 no.4
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• pp.9-18
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• 2011

This study tried to confirm the promotion plan with competitive a Smart Work industry power analysis. We were the low so that consequently we did the industry type analysis with Smart Work industry support technique. We executed the depth interview with Smart Work expert of 40 persons for this. This study found the Smart Work 2.0 concept and recognition about the industry out. As results of a research, validity of Smart Work 2.0 concept appeared high and Smart Work industry classified 11 groups. With this products, We proposed activation policy for Smart Work industry.

• KIEAE Journal
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• v.7 no.4
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• pp.9-15
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• 2007

As environmental problems and water-shortage phenomenon become a global issue, many states look for the effective method to use water resources. So, decentralized rainwater management is recognized as a new water management system that rainwater can be infiltrated and used on-site. But it is little difficult to build a park, lake, and forest for evaporating rainwater in city because the land price of city is very high. In order to build an excellent infiltration system for a dwelling and a park in Korea, KICT has developed Linear infiltration system. This infiltration system is consist of first flush treatment, storage and infiltration, overflow control system. These elements are connected closely and working as a combined system. A storm sewer can be changed by the linear infiltration system. This study is to show real application idea about Linear infiltration system with improving some detail in apartments. For this purpose, we devide application idea into the artificial ground and the natural ground and each ground type, suggest a method to cooperate with the other landscape and linear infiltration system. Through this study, we came to recognize a recognition difference of an expert and a commoner about decentralized rainwater management.