• Journal of Internet of Things and Convergence
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• v.8 no.6
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• pp.85-92
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• 2022

Demand for big data analysis and AI developers is increasing, but there is a lack of an education base to supply them. In this paper, by developing a cloud-based artificial intelligence education platform, the goal was to establish an environment in which practical practical training can be efficiently learned at low cost at educational institutions and IT companies. The development of the education platform was carried out by planning scenarios for each user, architecture design, screen design, implementation of development functions, and hardware construction. This training platform consists of a containerized workload, service management platform, lecture and development platform for instructors and students, and secured cloud stability through real-time alarm system and age test, CI/CD development environment, and reliability through docker image distribution. The development of this education platform is expected to expand opportunities to enter new businesses in the education field and contribute to fostering working-level human resources in the AI and big data fields.

• Journal of the Korean Society for information Management
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• v.41 no.3
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• pp.63-83
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• 2024

This study aims to identify the core competencies required in the field of Library and Information Science (LIS) and to propose curriculum design strategies based on these competencies. The expansion and increasing demand for librarian certification pathways have led to the weakening of professional expertise and growing uncertainty in the job market. In response, this research collected competency-related data from the websites of 16 four-year LIS programs at universities across the country and qualitative data through in-depth interviews with professors from related academic fields and public library managers. The analysis identified five core competencies in LIS: information management and processing, information technology and data utilization, library management and collaboration, user services and communication, and cultural and community understanding. Based on these competencies, the study suggests curriculum design strategies across institutional, practical, and educational dimensions. This research serves as a foundational resource for improving LIS curricula and certification systems and is expected to facilitate collaborative discussions between educators and practitioners in the field.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2018.11a
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• pp.231-233
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• 2018

부산항은 "한진 해운 파산"과 같은 불확실한 해운 상황에도 불구하고 2017년도 2,000만 TEU 이상 물동량을 처리하였다. 선박 생산성 또한 높은 수준으로 세계에서 가장 바쁜 터미널 6위를 달성하였다. 우리는 이러한 높은 수준을 유지하기 위하여 고객에게 생산성뿐만 아니라 고품질의 안전성 또한 제공하여야한다. 부산항 'A' 터미널에서 발생한 지난 3년간의 사고 데이터를 분석하여 어떤 장비가 가장 많이 사고를 발생하였고 어떤 위험점이 가장 높은지를 위험성 평가기법으로 알아보고, 이러한 사고를 미연에 방지하기 위한 방안을 보우타이 기법을 활용하여 제시하고자 한다. 실증자료를 분석한 결과 터미널 내의 이동장비 중 야드 트랙터의 충돌사고가 가장 높은 것으로 나타났다. 안전한 부산항을 만들기 위하여 우리는 가장 먼저 야드 트랙터의 충돌사고 예방법 (Control measure)과 사고 발생 시 대처방안 (Recovery measure)을 철저히 준비하여 사고를 미연에 방지하여야 할 것이다. 본 연구의 결과는 관련 실무에 다양한 시사점을 제공하였다.

• Journal of Korean Society for Geospatial Information Science
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• v.14 no.2 s.36
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• pp.69-75
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• 2006

This study aims to standardize the work classification system in spatial data. It is the base frame to classify the general information systematically in spatial data construction process. Work process of the surveying firm and rules for basic surveying which is being accomplished in the NGII(National Geographic Information Institute) are investigated and analysed. Therefore, types, individual process, and results of surveying work is standardized. If the work classification system from this study is adopted as the national standard and is also advanced by construction methodology, the spatial data will be managed futuristically and systematically.

• Korean Journal of Construction Engineering and Management
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• v.25 no.3
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• pp.58-67
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• 2024

In the era of the fourth industrial revolution, data plays a vital role in enhancing the productivity of industries. To advance digitalization in the construction industry, which suffers from a lack of available data, this study proposes a model that classifies construction site photos by work types. Unlike traditional image classification models that solely rely on visual data, the model in this study includes semantic analysis of construction work types. This is achieved by extracting the significance of relationships between objects and work types from the standard construction specification. These relationships are then used to enhance the classification process by correlating them with objects detected in photos. This model improves the interpretability and reliability of classification results, offering convenience to field operators in photo categorization tasks. Additionally, the model's practical utility has been validated through integration into a classification program. As a result, this study is expected to contribute to the digitalization of the construction industry.

• The Journal of Sustainable Design and Educational Environment Research
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• v.16 no.1
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• pp.30-38
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• 2017

Despite the fact that school facilities are one of the most important public facilities, information about school facilities is not systematically managed. The purpose of this study was to investigate the direction of system construction to provide objective data on school facilities, which is the basic element of school facility policy. In this study, we propose a system construction method to improve the information management procedure of school facility information and school facilities, and suggest a system design direction for providing service that can be practically used.

• Journal of Korea Spatial Information System Society
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• v.1 no.1 s.1
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• pp.89-98
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• 1999

The major purpose of this study wa to desgin a external metadata of National Geography Institute(NGI) for the effective management and distribution of the digital maps. For designing a standard external metadata reflecting the current trends of the international organizations on standardization, a prelimenary study was made mainly concentrating on the analysis of the metadata of the developed countries along with domestic cases. For better assessing NGI needs, all the metadata related material of the NGI were collected and classified based on the NGI's workflow. The external metadata draft was made considering the results from the analysis of the existing NGI material and the draft was also cited some major cores from the ISO standards. Continuous efforts should be made in the future to update the metadata draft based on the opinions from the NGI engineers and the technical trends of the international organizations.

• The Journal of the Korea Contents Association
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• v.21 no.5
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• pp.47-69
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• 2021

Data scientists are new knowledge workers representing the knowledge economy era. Knowledge workers perform unstandardized works that solve ambiguity-intensive problems. Therefore, self-leadership, which emphasizes self-motivated, autonomous judgment and execution, significantly influences their work-related outcomes. Even knowledge workers have high occupational commitment, they usually show low organizational commitment. Knowledge workers' intention to leave is also relatively high due to this reason. This study focused on data scientists' self-leadership, predicted that self-leadership would increase an organization's commitment and intention to leave. Based on the trait activation theory(TAT), the author also confirmed how perceived job autonomy enhances self-leadership influences. Results showed that data scientists' self-leadership significantly lowered intention to leave through organizational commitment and this mediating effect was moderated by perceived job autonomy. This study broadened the theoretical understanding the effects of knowledge workers' self-leadership and presented practical implications for managing data scientists.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.6
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• pp.1074-1080
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• 2016

Big data analysis refers the ability to store, manage and analyze collected data from an existing database management tool. Thus, meta-analysis is a statistical integration method that delivers an opportunity to overview the entire result of integrating and analyzing many quantitative research results. Commonly, factors of metabolic syndrome can be defined as abdominal obesity, systolic blood pressure, diastolic blood pressure, triglycerides, and high density lipoprotein cholesterol. In this meta-analysis, we concluded that the path between pre and post of the fasting blood glucose had the largest effect size of (r = -.324). Therefore, the effect of soybean food intervention showed an explanatory power of 10%. The second biggest effect size (r = .256) was found the path between pre and post in the waist circumference. Unfortunately, soybean food intake showed no improvement on abdominal obesity. Thus, we present the theoretical and practical implications of these results.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.91-96
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• 2002

Research and case study on implementing Knowledge Management (KM) in various fields have been published. However, KM could be misunderstood as developed Information Technology (IT) rather than a managerial tool to support knowledge creation in an organization unless the theoretical background on the evolution of KM is rigorously considered. This paper aims to review philosophy of science and managerial trends that can explain the reasons for introducing KM into the industry. Based on this theoretical background, Soft Systems Method (SSM), one of method to facilitate knowledge flows, are explained. SSM has been developed to cope with the characteristics of knowledge distinguished from data and information. Further research topics relevant to SSM in construction management as a practical application and educational tool are presented.