• Journal of Digital Convergence
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• v.20 no.5
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• pp.453-461
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• 2022

This study designed a research model to analyze the relationship between organizational commitment and work performance for outsourcing workers. The path relationship was analyzed using the PLS-SEM of the sample collected through the survey. As a result of the study, organizational support perception had a direct effect on the work performance of outsourcing workers, and the company commitment and customer company commitment had a mediating effect. In addition, it was confirmed that the workers showed dual commitment to the company and the customer company, and the organizational commitment to both companies was complementary. It was also suggested that the outsourcing company's organizational support activities are more important for improving the work performance of workers.

• Journal of Industrial Convergence
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• v.21 no.4
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• pp.1-12
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• 2023

The era of digital transformation is rapidly emerging in industries and academia, including finance and logistics, and the consulting market for digital transformation is also growing. According to previous studies, the need for digital transformation is also mentioned in consulting institutions. In this process, the role of consultants should be changed according to the times, and customer relationship management and attitude toward customers are emphasized. However, consulting research has the point that research on this has not been studied in depth. Therefore, the purpose of this study is to develop an element of attitude focusing on consultant attitudes in the field of digital transformation. As a result of research using literature analysis and modified Delphi techniques, 'customer orientation', achievement orientation', professional dignity', 'maintenance of expertise', and 'ethics' were found to be key attitude factors. This study is meaningful in that consultant attitude elements in the digital transformation field were explored and developed by verifying content validity, and consultants in the digital transformation field can recognize the importance of attitude and use it as a basic tool for capacity improvement.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.22 no.2
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• pp.147-163
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• 2023

Recently, there has been an increase in the research and development of automated vehicles worldwide. Research focused on automated vehicles in Korea is steadily progressing as a national R&D project. Since automated driving technology comprises diverse technology fields, it is necessary to identify the current position of the research. In this study, we propose a methodology for analyzing research trends using the NTIS data. In addition, we review the effectiveness of the currently developed research trend methodology by deriving primary keywords and major topics using the proposed method. We expect that the methodology developed in this study can be applied to identify and analyze future automated vehicle research trends.

• The Journal of Engineering Geology
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• v.33 no.3
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• pp.489-502
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• 2023

Urban floods pose significant challenges to cities worldwide, driven by the interplay between urbanization and climate change. This review examines recent studies of urban floods to understand their causes, impacts, and potential mitigation strategies. Urbanization, with its increase in impermeable surfaces and altered drainage patterns, disrupts natural water flow, exacerbating surface runoff during intense rainfall events. The impacts of urban floods are far-reaching, affecting lives, infrastructure, the economy, and the environment. Loss of life, property damage, disruptions to critical services, and environmental consequences underscore the urgency of effective urban flood management. To mitigate urban floods, integrated flood management strategies are crucial. Sustainable urban planning, green infrastructure, and improved drainage systems play pivotal roles in reducing flood vulnerabilities. Early warning systems, emergency response planning, and community engagement are essential components of flood preparedness and resilience. Looking to the future, climate change projections indicate increased flood risks, necessitating resilience and adaptation measures. Advances in research, data collection, and modeling techniques will enable more accurate flood predictions, thus guiding decision-making. In conclusion, urban flooding demands urgent attention and comprehensive strategies to protect lives, infrastructure, and the economy.

• Journal of Korea Society of Industrial Information Systems
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• v.14 no.4
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• pp.153-162
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• 2009

Innovation, especially business process innovation, has evolved into a core focus area for all successful organizations. To ensure long-tenn survival, an enterprise must place innovation at the top of daily business operations to drive desired revenue stability and growth. Business Process Innovation is a key success factor for the next generation enterprise. Companies need to nurture an environment that encourages and enables process innovation. Business Process Management (BPM) must become the focal point of innovation initiatives. But the most BPM solutions are for large company. The cost is too high to build for small and medium sized company. We need the light and easy BPM solution for small and medium sized company. In this paper, we introduce the SESS which is BPM solution for small and medium sized company.

• Journal of Korea Entertainment Industry Association
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• v.13 no.4
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• pp.63-70
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• 2019

We extract the symptom of panic disorder from the context awareness environment. It extracts body context information through natural movement that exists in everyday life and uses a component of panic disorder. The ontology theory can be used to provide information on the degree of symptoms of panic disorder through inference process. For the components of panic disorder to the information processing based on ontology are defined as Classes. Panic disorder index is expressed through ontology modeling so that the condition of panic disorder can be known. The derivation of panic disorder component and panic disorder index will enable context awareness based information service for panic disorder. The context information is periodically synchronized with the context awareness on based device. Panic disorder can be used to improve the lifestyle of panic disorder.

• Journal of the Korea Society of Computer and Information
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• v.14 no.1
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• pp.1-8
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• 2009

Learning user's preference is a key issue in intelligent system such as personalized service. The study on user preference model has adapted simple user preference model, which determines a set of preferred keywords or topic, and weights to each target. In this paper, we recommend multi-perspective user preference model that factors sentiment information in the model. Based on the topicality and sentimental information processed using natural language processing techniques, it learns a user's preference. To handle timc-variant nature of user preference, user preference is calculated by session, short-term and long term. User evaluation is used to validate the effect of user preference teaming and it shows 86.52%, 86.28%, 87.22% of accuracy for topic interest, keyword interest, and keyword favorableness.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.5 no.4
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• pp.753-760
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• 2015

The Korean wine market is growing year by year recently especially in Off-trade market. It shows not just a part of the very few consumer-driven trend. The purchases of wine is always not so easy because the risk factors and failure points occur when buying wines. Most of wine consumers feel difficulties when buying wines at phase of previous step, buying step and after buying step. Wine consumers can be divided into the wine experts, wine lovers, novices, outsiders. To guide an wine buying with less failures to each representative of wine consumer characteristics and needs, user persona and scenario for the reduced failure were derived.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.283-283
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• 2021

혼합대는 지표수와 지하수의 수리적 교환이 일어나는 경계부로써 1) 수문학적 관점에서는 하도와 하상간의 물교환이 이루어지는 공간으로 다양한 물리적·화학적 작용이 발생, 2) 생지화학적인 관점에서는 하상 간극수 흐름에 의한 전이대(ecotone)를 형성하여 용존산소·영양물질·용존유기탄소의 이동뿐만이 아니라 지하수로부터 열에너지·무기염류의 공급을 유도하면서 높은 생지화학적 활동과 변환을 야기하는 산화·환원 반응구역, 3) 생태적인 관점에서는 저서생물과 지하 유기체종을 특징으로 하는 서식지이나 잠재적인 레퓨지움(refugium) 등의 관점에서 해석될 수 있다. 국내 하천환경의 생태학적 지속가능성을 위한 지표수-지하수 혼합대 관리에 대한 중요성이 점차 증대되고 있지만 우리나라는 여전히 지하수의 이용 및 보전과 지하수의 안정적인 수량·수질 확보를 목표로 관리를 추진하고 있다. 따라서, 실질적인 지표수-지하수 혼합대에서 발생하는 다양한 현상의 이해나 관리방안에 관한 연구는 아직 미비한 상황이다. 지표수-지하수 혼합대에 관한 보고서, 논문 등을 종합하여 혼합대의 영향인자를 살펴보면 1) 수리수문 특성에는 수리전도도·하천 수위·하천 유속·하천수 수온, 2) 수질 특성에는 유기오염물질·영양염류, 3) 수생태 특성에는 대형무척추동물 등으로 분류할 수 있다. 지금까지 단일 연구분야의 접근방법으로 다양한 현장측정기법 및 모델링을 통한 혼합대 연구가 수행되고 있지만, 혼합대가 가지는 환경적 중요성에 대한 이해와 인식이 부족하고, 혼합대 내부에서 발생하는 복합적인 프로세스로 인해 전문가들조차 연구에 어려움을 가질 것이다. 지표수-지하수 혼합대의 효율적인 관리를 위해서는 수리수문·수질·수생태 등 다양한 시각에서 접근하여 학제간 융합연구를 통해 기초 데이터를 상호교환하고, 기존의 혼합대 조사에 부족한 부분을 해결할 필요가 있다. 향후 하천 기저유출 및 혼합대 기초자료 구축, 혼합대 흐름 정량화, 하천복원사업에 의한 혼합대 영향 규명 등의 연구를 수행함으로써 혼합대를 체계적으로 관리할 수 있는 기술 방안을 제시할 필요가 있다.

• Journal of Internet Computing and Services
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• v.24 no.6
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• pp.99-105
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• 2023

In the 4th industrial revolution, the field of criminal justice is paying attention to Legaltech using artificial intelligence to provide efficient legal services. This paper attempted to create a crime prediction model that can apply Recurrent Neural Network(RNN) to increase the potential for using legal technology in the domestic criminal justice field. To this end, the crime process was divided into pre, during, and post stages based on the criminal facts described in the judgment, utilizing crime script analysis techniques. In addition, at each time point, the method and evidence of crime were classified into objects, actions, and environments based on the sentence composition elements and the 8 principles of investigation. The case summary analysis framework derived from this study can contribute to establishing situational crime prevention strategies because it is easy to identify typical patterns of specific crime methods. Furthermore, the results of this study can be used as a useful reference for research on generating crime situation prediction data based on RNN models in future follow-up studies.