• Journal of Preventive Medicine and Public Health
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• v.21 no.1 s.23
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• pp.113-120
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• 1988

A total of 181 cases of industrial ocular injuries hospitalized and treated at the St. Mary's Hospital, Seoul during the 5-year period was studied on their epidemiological characteristics. Of these patients 96.7% were males, and 43.6% were in twenties, 49.7% of the cases were injured on left eyes. There were no statistically significant differences in frequencies of study subjects by day of the week and month of the year. Most common injury hour were between 10- <12 AM(13.6%) and between 2- <4 PM(20%). Of the total 101 cases, 37.6% were working less than 6 months, and 73.7%, less than 2 years. Of the total, 42.3% were involved in machinary work and 13.9%, in construction work. According to the American National Standard Method of recording basic facts relating to the nature and occurrence of work injuries, 62%, among all source of injuries was metal item and the most common accident type was struck by flying objects(76.2%). Among 181 cases, only 2 cases were wearing protective equipment when the accidents occurred.

• Korean Institute of Interior Design Journal
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• v.27 no.3
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• pp.79-89
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• 2018

This study aims at evaluating the characteristics and the preference on the sign design in the industrial heritages space. The research were performed by the process of literature review, case study, and survey of questionnaire. Seven industrial heritage space in Korea and China regenerated as art and cultural space after 2000 were selected and evaluated by 6 criteria including integrity, continuity, simplicity, aesthetics, legibility and historic aspects. The findings were the following. First, the six criteria factors were evaluated as the similar scores in the assessment of 7 sites without extremity. Simplicity was the highest score while historicality was the lowest one. It means that the characteristics of the sign systems of the heritage sites were focused on the simple, contemporary and effective design. Second, integrity, continuity, aesthetics, legibility were evaluated as the medium score in the sign design. While, in the evaluation on the aesthetics the score differences were comparatively high. Sanhai M50 which got the highest score showed the integrity of contrast using yellow and grey color with minimal design. However, Sanghai M50 got the lowest score in the historic aspects and was evaluated as the most favorite sign design in the preference. It means that the historic aspects have no direct relationship with the preference for the sign design. It shows that the effectiveness with integrity and the aesthetic aspects are considered more importantly than the application of the historic identity of the site in sign design.

• Architectural research
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• v.16 no.3
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• pp.109-120
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• 2014

South and North Korea, the divided nations on the Korean peninsula, began with the same modern city planning system, but following the adoption of different national ideologies-capitalism and socialism-, they established their own city planning system and developed their cities accordingly. However, the process of planning and developing a joint city of Kaesong Industrial Complex (KIC) led to the recognition about the need to bridge the differences and prepare for future joint development. This study examines North Korea's city planning system by comparing the two Koreas' systems, and identify the characteristics of North Korea's city planning system through a case analysis of the KIC. By comparing two cases, we found two distinct characteristics of North Korea's. The one is a tool for realizing ideologies and maintaining national system. The other one is that it is ideology-oriented system for the supreme leader and party while South Korea has control-oriented system for the public. We analyze the KIC case based on four pillars: planning system, development system and procedure, master plan, and use behaviors. Result of analysis shows that in KIC there are many socialistic features as we mentioned above in terms of planning system, urban design & structure, and use behavior even though a private enterprise-Hyundai Asan, in South Korea led the whole process. This study is meaningful in that it identifies the specific characteristics of North Korea's city planning focusing on the KIC and is expected to serve as a baseline material to set the future direction for North Korea's development.

• Journal of Korean Institute of Industrial Engineers
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• v.23 no.2
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• pp.403-420
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• 1997

In this paper, we examine the effect of production uncertainty to production control policies. First, we examine two famous production control policies, namely, MRP and JIT from the view point of shop floor control perspective, and analyze the differences between them due to demand fluctuations and activity time variations. Second, we conduct simulation studies on MRP and JIT to draw out the effects of demand fluctuations and activity time variations. Demand fluctuations are further classified into demand lumpiness and demand irregularity. And, activity time variations are further classified into stationary time variations and non-stationary time variations. Experimental results show that, in terms of demand fluctuations, MRP is affected by demand lumpiness, but JIT by demand irregularity. And we also see that both MRP and JIT are influenced by stationary time variation with respect to activity time variations.

• Journal of Technology Innovation
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• v.7 no.2
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• pp.119-144
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• 1999

Recently, knowledge management(KM) has attracted increasing attention from academicians and practitioners alike. Amongst others, technological knowledge(TK) is considered principal asset of KM and R,&D organization of private firms selves as primary actor of KM. It is also noted that the notion of sectoral pattern of innovation highlights idiosyncratic differences across industrial sectors in terms of TK management. That is, knowledge contents, knowledge generation and How pattern are considerably different among industries. This paper first analyzes the correlation between structural of R&D organization and industrial(sectoral) type to identify the dominant structure of R&D organization for each industry. Second, sector-specific architectures of TK management system are proposed. According to structural characteristic of R&D-organization type, test-practice forms of TK management system are suggested in terms of such factors as knowledge contents(technology information), knowledge generation activities, and knowledge storage/retrieval modes.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.9 no.3
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• pp.580-586
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• 2008

This paper addresses the prediction of the material property continuities of a microstructure. Prediction was made by measuring the dynamic responses distribution of the fabricated materials used in the microstructures. When these distributional material properties were used in estimating the mechanical performances of microstructures, the differences between the computer simulation and the experimental result of microstructures could be reduced and their reliability design could be made.

• Proceedings of the Korea Information Processing Society Conference
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• 2004.05a
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• pp.1379-1382
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• 2004

The use of a cache for storing and processing of Web objects is becoming larger. Also, many studies on the efficient management of the storing scope of caches are being done. Web caching algorithms have many differences from traditional algorithms. Particularly, heterogeneity of Web objects that are processing units of Web caching, and a variation of Web object reference characteristic with time are the important causes of the decrease the performance of existing algorithms. In this study, we proposed the new web-caching algorithm. A heterogeneity variation of an object can be reduced as the proposed method dividedly managing Web objects and a cache scope with heterogeneity, and it is adaptively reflecting a variation of object reference characteristics with the flowing of time. In the experiments, we verified that the performance of the proposed method was more improved than existing algorithms through the two experiment models which considered heterogeneity of an object.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.6
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• pp.3742-3752
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• 2015

This study aims to examine and analyze consumers' perception level and purchase behavior of organic clothing goods with. According to their purchase experience of organic clothing goods, it was found that organic textile products for women like sanitary pad were most and purchase frequency of organic clothing goods was mostly once. Among reasons to purchase organic clothing goods, 'for my health' was most. Non-purchase reason was mostly 'I don't know what organic goods are'. Therefore, there were significant awareness differences of organic clothing goods in "health efficiency" between the purchasing group and the non-purchasing group. In addition, there were significant awareness differences of demographic characteristics and organic clothing goods in sex, age, and "health efficiency" of related major items and in "high quality recognition" and "health efficiency" of residential areas.

• Journal of Environmental Health Sciences
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• v.49 no.4
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• pp.190-200
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• 2023

Background: Gunsan has been constantly affected by pollutants generated by the Saemangeum development and the construction industry since the completion of the Saemangeum seawall on April 27, 2010. However, there are limitations to its study, such as taking into consideration weather conditions, geographical factors, and foreign inflows. Objectives: In this study, we compared the Existing-CAPSS emissions of Gunsan with Recalculated-CAPSS emissions data to analyze the differences in emissions characteristics by year (2016~2019). Methods: Using Existing data on CAPSS emissions (2016~2019) and Recalculated-CAPSS emissions (2016~2019) for Gunsan, which were Recalculated following the improvement of emissions calculations for 2020, we organized CO, NO_X, SO_X, PM₁₀, VOC_S, and NH₃ emissions by substance and investigated the differences and characteristics of the Recalculated emissions by year. Results: For Re-CO and Re-PM₁₀, the emission characteristics of CO were examined as energy industry combustion and PM₁₀ emission characteristics were examined as ship cargo from non-road transportation sources, as ship leisure sources were excluded from non-road transportation source emissions. Conclusions: Comparing the emissions of Existing-CAPSS and Recalculated-CAPSS in Gunsan, the emissions of Recalculated-CAPSS by substance decreased by 39.76% for CO, 9.98% for PM₁₀, 5.53% for VOC_S, and 9.24% for NH₃, while Re-NO_X increased by 2.86% and Re-SO_X increased by 1.97%. On the other hand, when comparing the emissions characteristics of Existing-CAPSS and Recalculated-CAPSS in Gunsan, Jeonju, and Iksan, the emission characteristics of Re-NO_X, Re-SO_X, Re-VOC_S and Re-NH₃ were similar to those of Ex-NO_X, Ex-SO_X, Ex-VOC_S, and Ex-NH₃. As such, Gunsan, Iksan, and Jeonju, showed differences in the comparison of different emission characteristics due to the geographical characteristics of the region (population, area, topography, weather factors) and the characteristics of the industrial complex (metal, petrochemical).

• Journal of Hydrogen and New Energy
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• v.33 no.5
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• pp.591-597
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• 2022

Recently, technologies for efficient power grid operation have become important due to climate change. For this reason, predicting power demand using deep learning is being considered, and it is necessary to understand the influence of characteristics of each region, industrial structure, and climate. This study analyzed the power demand of New Jersey in US, with a high urbanization rate and a large service industry, and West Virginia in US, a low urbanization rate and a large coal, energy, and chemical industries. Using recurrent neural network algorithm, the power demand from January 2020 to August 2022 was learned, and the daily and weekly power demand was predicted. In addition, the power grid operation based on the power demand forecast was discussed. Unlike previous studies that have focused on the deep learning algorithm itself, this study analyzes the regional power demand characteristics and deep learning algorithm application, and power grid operation strategy.