• Informatization Policy
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• v.24 no.1
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• pp.30-47
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• 2017

The Korean government developed an organizational maturity model for public data quality management based on international standards to evaluate the data quality management level of public organizations, However, as the model has too many indicators to apply on the site, a new model with reduced number of indicators is proposed in this paper. First, the number of processes is reduced by integrating and modifying the processes of the previous model. Second, a new maturity evaluation method is proposed based on capability levels focused on the activity, not on the process. Third, the maturity level of public data quality management is represented by five discrete levels or real values of 1 through 5. Finally, characteristics of the proposed model are compared with those of the previous model.

• Journal of Korea Technology Innovation Society
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• v.11 no.2
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• pp.171-193
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• 2008

Every country of the world in the 21st century is going to push forward the policy protecting their intellectual property right, and international movement to protect their intellectual right is still more strengthened. Under these situations, the firm is required to seek for more efficient methods of technology security and business management while the existence of business itself is at risk. The control of intellectual properties in business should be considered in the patent management. In the company, the industrial property right should be into one of the management resource, and its importance has great influence on the existence of the company. The information in patent data can be used for strategic planning purposes. This study systematically evaluates the patenting behaviour of sample of 27 business firms within the Korean metal industry. Utilizing the patent application data between 2000 and 2005, the relationship between these patenting management and company performance is analysed. This study showed that patent activity per employee and labor productivity are positive relationship, but patent activity per employee and firm size are negative relationship. Since a positive relationship between patenting and company performance could be shown, patent activity gains important as a instrument for R&D planning.

• Korean Journal of Construction Engineering and Management
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• v.24 no.4
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• pp.44-51
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• 2023

Occupational safety and health management cost (OSHMC) is helpful for managing safety in construction sites. However, OSHMC has been criticized for various aspects, including the fact that OSHMC cannot reflect features of individual constructions when counting up and executing OSHMC. This study proposes the approach to distribute OSHMC by project size and activity type with the consideration of accident rates for various activities. Using 1,046 data obtained from Construction Safety Management Integrated Information (CSI), this study calculated the relative risk factors for each activity. The distribution of OSHMC is proposed based on the risk factors. The results were validated by industry expert interviews. The distribution proposed in this study will help construction managers establish and execute OSHMC usage plan effectively.

• Journal of Digital Convergence
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• v.13 no.3
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• pp.65-73
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• 2015

The purpose of this study is to examine the relationship between sustainable PLM(Product Lifecycle Management) activity and performance. To ensure this purpose, we designed the S-PLM Framework which is consisted of traditional PLM activity and sustainable PLM activity. We also conducted path analysis to investigate PLM success factor on manufacturing company and to understand the relationship between these success factors. First the result of analysis of the relationship between traditional PLM activity and sustainable performance. Second, there is significantly positive relationship between sustainable activity and performance. Third, traditional PLM activity and sustainable PLM activity factor have an influence on the innovation performance factor. Fourth, sustainable performance have an effect on the management and business performance. In conclude we analyzed and verified the influence sustainable PLM establishment mechanism and the sustainable PLM activity factors. Therefore this study is to create innovative performance and to improve efficiency of Convergence PLM establishment and operation.

• Journal of Korean Library and Information Science Society
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• v.33 no.2
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• pp.25-45
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• 2002

The purpose of this study is to identify the relationship between the reading circle management with college students and the participation program in the reading camp. The results show that the participation program in reading camp helps the activation on reading circle. The college students'activity on reading camp increases reading activity because students can work with the graduates and get the graduates'reading activity experience. Also, the activity on reading camp encourages reading circle members to work so that they continue their activity after graduation. Students on reading circle usually work hard during semester but during closing of college, they seldom work. The participation program in reading camp, however, can bridge over the gap during the vacation.

• Journal of the Korean Society of Food Culture
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• v.36 no.5
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• pp.522-529
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• 2021

This study was conducted to analyze the antioxidant and antidiabetic activities of acorns according to the types of Quercus serrata Thunb (QST) and Q. acutissima Carruther (QAC). The total polyphenol contents of the extracts from QST and QAC were 220.59 and 320.96 mg GAE/g, respectively. The content of total polyphenol of QAC was higher than that of QAC (p<0.001). DPPH (2,2 Diphenyl 1 picrylhydrazyl) radical scavenging activity, reducing power and superoxide dismutase (SOD)-like activity were increased in a concentration-dependent manner by both acorn extracts, and QAC showed high activity in all antioxidant experiments (p<0.05). The inhibitory activities of α-glucosidase and α-amylase were also increased in a concentration-dependent manner, and QAC showed higher inhibitory activity than QST (p<0.05). Our study indicates that QST and QAC are functional food materials with high antioxidant and antidiabetic activities. In addition, QAC has a higher physiological activity than QST.

• International conference on construction engineering and project management
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• 2020.12a
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• pp.443-452
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• 2020

Worker's awkward postures and unreasonable physical load can be corrected by monitoring construction activities, thereby increasing the safety and productivity of construction workers and projects. However, manual identification is time-consuming and contains high human variance. In this regard, an automated activity recognition system based on inertial measurement unit can help in rapidly and precisely collecting motion data. With the acceleration data, the machine learning algorithm will be used to train classifiers for automatically categorizing activities. However, input acceleration data are extracted either from designed experiments or simple construction work in previous studies. Thus, collected data series are discontinuous and activity categories are insufficient for real construction circumstances. This study aims to collect acceleration data during long-term continuous work in a construction project and validate the feasibility of activity recognition algorithm with the continuous motion data. The data collection covers two different workers performing formwork at the same site. An accelerator, as well as portable camera, is attached to the worker during the entire working session for simultaneously recording motion data and working activity. The supervised machine learning-based models are trained to classify activity in hierarchical levels, which reaches a 96.9% testing accuracy of recognizing rest and work and 85.6% testing accuracy of identifying stationary, traveling, and rebar installation actions.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2001.04a
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• pp.358-362
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• 2001

Environmental Product Life Cycle Management is an activity for defining and describing the product, process of activity environmentally. The activity involves the full life cycle stages of the product; evaluating environmental releases at each stage, determining the aggregate and specific impacts of the releases, developing opportunities to effect environmental improvements. This paper presents a methodological approach for database modeling to build Product Life Cycle Management system and show a set of database modeling. Additionally, a key issue for database is the quality of the provided information.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.05a
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• pp.1085-1092
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• 2003

Proposed in this paper is a standard-compliant business process modeling tool which is based on the UML(Unified Modeling Language) activity diagram and produces an XPDL(XML Process Definition Language) file as an output. The XPDL is a standard process definition exchange format by WfMC(Workflow Management Coalition). To develop an UML/XPDL-based modeling tool, the mapping of modeling elements between activity diagram and XPDL format is conducted after the detailed analysis of each modeling specification. As a result of this mapping, it is revealed that modeling elements of each activity diagram and XPDL must be expanded. So new modeling elements are identified and added to each specification. Based on this mapping, the prototype system is developed, and the usefulness of the developed system is shown through the case study.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1996.10a
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• pp.39-42
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• 1996

Modeling techniques such as linear regression have been used to predict hurricane activity many months in advance of the start of the hurricane season with some success. In this paper, we construct feedforward neural networks to model Atlantic basin hurricane activity and compare the predictions of our neural network models to the predictions produced by statistical models found in the weather forecasting literature. We find that our neural network models produce reasonably accurate predictions that, for the most part, compare favorably to the predictions of statistical models.