• The Journal of Asian Finance, Economics and Business
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• v.8 no.5
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• pp.749-759
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• 2021

We investigate the relationship between ownership control disparity and future firm value in high-technology industries, and whether the effect of ownership control disparity on future firm value is differentiated when high-tech industry firms belong to chaebol groups. Using 11,848 firm-year observations of Korean firms listed on the stock market from 2006 to 2019, we employ univariate analysis and Heckman 2 stage analysis to test our hypotheses. We define high-technology industries as ICT industries based on the Korean Standard Industrial Classification. We measure future firm value using average Tobin's q for the next three years and ownership control disparity using the shareholding ratio of affiliated companies. Our univariate test results show that mean of Tobin's q is higher in ICT firms than non-ICT firms and firms largely owned by affiliates. In multivariate test, we find that the ICT firms with higher ownership control disparity are positively associated with future firm value. However, this association is lessened when firms belong to a chaebol group. Based on our findings, we suggest ownership control disparity has an additional positive effect on future firm in high-technology industries. The negative impact of chaebol groups on the association suggests the possibility of diversification discount in business group.

• Journal of Environmental Health Sciences
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• v.27 no.4
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• pp.85-91
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• 2001

The regulation of Material safety data sheets(MSDS) was required for the chemicals in use in the workplace from July 1976. Under the provisions of the workplace hazardous materials information system, employers in Korea must be provided with accurate and comprehensive MSDS. To examine the reliability of MSDS for organic solvents, 63 organic solvents and MSDS were collected from the workplace of 39 companies located in Kyonggi province. Manufacture\`s MSDS were compared with the actual composition of the collected samples, and further examined the reliability by checking whether the chemicals analyzed were included in the MSDS correctly. 38 solvents were able to analyze their composition by gas chromatography-mass selective detector(GC-MSD). Among them, 28 solvents were incorrect in their composition and contents. In some case, health hazardous or carcinogenic chemicals which were not included in the MSDS were detected from samples. As a result of evaluating whether the MSDS correspond to the regulation required by Industrial Safety and Health Act (ISHA), the information in the MSDS including hazard classification, occupational exposure level, toxicity, regulatory information were incorrectly provided, and some MSDS did not disclose carcinogenic in their MSDS, and some MSDS were not written in the standard format. From this survey, continuous monitoring and promoting correct MSDS, and analyzing the components of the solvents were required to endure the reliability of MSDS for organic solvents.

• Applied Chemistry for Engineering
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• v.18 no.2
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• pp.194-198
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• 2007

Veneer plate was painted by the treatment with ammonium salts such as ammonium chloride (AMCR), ammonium sulfate (AMSF), monoammonium phosphate (MAPP), and diammonium phosphate (DAPP) at room temperature. The physical property and flammability of painted veneer plate were investigated. In order to evaluate flammability of the treated veneer with ammonium salts, heat release rate (HRR) of the veneer was measured by a cone calorimeter according to ISO 5660-1 standard. The flammability painted veneener plate with ammonium salts was reduced compared to virgin veneer plate. The flashover possibility of veneer plates treated with these ammonium salts was examined by R. V. Petrella's classification using time to ignition and peak heat release rate. The specific gravities of veneer plates treated with only ammonium sulfate were higher than that of virgin veneer plate. Also, the veneer plates treated with ammonium salts showed lower equilibrium moisture contents over virgin veneer.

• Journal of Biosystems Engineering
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• v.34 no.4
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• pp.243-253
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• 2009

This research expands investigations into the biomass resource potential associated with California's food processing industry by surveying industries within a two county region in the San Joaquin Valley, California, USA. A previous survey conducted in 2005 for the Sacramento Municipal Utility District (SMUD) quantified residue and waste generation from food processors and food preparation businesses in the Sacramento region. The present survey investigates residue and waste streams from food processors located in Merced and Stanislaus Counties. Sixty food processors were identified to participate in the survey, of which 49 responded (82%) and data were acquired for 38 (63%) (6 facilities closed or moved, 8 decided not to participate). Within the two counties, total annual waste among survey respondents amounted to 24,044 dry tons of high moisture (${\geq}$60%) food residuals, 5,358 dry tons of low moisture (<60%) food residuals; and 23.7 million $m^3$ of wastewater containing 38,814 tons of biochemical oxygen demand ($BOD_5$). The total potential electric power generation from these food residues was estimated at approximately $7\;MW_e$. Total solid waste resource included in the survey response was estimated at about 10% of statewide residue generation for processors falling within the Standard Industrial Classification (SIC) System Major Group 20 (Food and Kindred Products) categories.

• Archives of design research
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• v.16 no.3
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• pp.161-174
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• 2003

Choice and use of color are very important field for designer. Present color sprang by central field of design business unlike past. Color is used mainly by three fields of sensitivity, administration, mind. But, do substantial design including all of three fields at use. Practical research field that is based on basic research when see as actuality of domestic color design is been behind real condition. Specially, color sensitivity field and color management field are very important field, it can speak that color name arid related area are most important among two. Because collar name includes sensitivity and color management. This research constructs correct data because investigate and analyze and search all compatible color names that is announced in existing or is recorded in public cosmopolitanly. As a result, it is to promise accuracy when produce creation of idea and result of design using color name. Examined laying stress on color that domestic data that is used in research is basis with Korean industrial Standard, connection literature, on-the-spot probe. International data investigated American ISCC-NBS to base. Other abroad color name data examined official data of each country all systematically with Japan, Europe. Findings about 11,000 basis color names and 33,000 application color names sorted collection. Collection method and classification system follow in international standard and arranged for user's tile convenience. Also, use frequency did laying stress on Munsell that is high color system so that can aid in industrial design business. Improved to write all international standard color values sue as RGB, CMYK, XYZ and can be applied all in each field of design. Is applying and get along with continuation improvement and development in homepage of present KIDP, it may become more worth research.

• Journal of the Korean Solar Energy Society
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• v.34 no.4
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• pp.57-65
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• 2014

In order to reduce greenhouse gas emissions in recent agricultural energy and increase the energy self-sufficiency rate of each farmer, it is extremely important to expand the supply of solar energy using unused space of agricultural facilities, roof. This study surveyed and analyzed the environmental and administrative factors such as problems according to the structure, azimuth and latitude of broiler houses and stability of standard broiler houses required to use broiler house roof based on the poultry houses in Sangju-si. The results can be summarized as follows: 55.6% of the solar energy facilities of according to the classification of arable lands of broiler houses were available, and 31.7% of them were available by classifying according to the azimuth. However, 20.6% of them were available in the survey considering all the arable land and azimuth. In the roof inclination of the broiler houses, from 20 to $25^{\circ}$ was the most common, 30 broiler houses. The broiler houses with the roof inclination more than $20^{\circ}$ accounted for 63% of the total. It was considered that the inclination was generally proper. In the structural safety, only 3 broiler houses that were constructed as a standard broiler house were available. In practice, all but one broiler house was inappropriate to expand the solar energy project using roof. The solar thermal facility weighed $63.6kg/m^2$ in total: the frame and solar thermal collector weighed $27.8kg/m^2$ and $35.8kg/m^2$, respectively. The standard broiler house required to be internally reinforced. This study suggested a plan for internal reinforcement and a feasible plan because there were problems with structural safety when installing solar thermal and photovoltaic systems.

• Biomedical Science Letters
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• v.24 no.4
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• pp.418-425
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• 2018

Amyloid brain positron emission tomography (PET) images are visually and subjectively analyzed by the physician with a lot of time and effort to determine the ${\beta}$-Amyloid ($A{\beta}$) deposition. We designed a convolutional neural network (CNN) model that predicts the $A{\beta}$-positive and $A{\beta}$-negative status. We performed 18F-florbetaben (FBB) brain PET on controls and patients (n=176) with mild cognitive impairment and Alzheimer's Disease (AD). We classified brain PET images visually as per the on the brain amyloid plaque load score. We designed the visual geometry group (VGG16) model for the visual assessment of slice-based samples. To evaluate only the gray matter and not the white matter, gray matter masking (GMM) was applied to the slice-based standard samples. All the performance metrics were higher with GMM than without GMM (accuracy 92.39 vs. 89.60, sensitivity 87.93 vs. 85.76, and specificity 98.94 vs. 95.32). For the patient-based standard, all the performance metrics were almost the same (accuracy 89.78 vs. 89.21), lower (sensitivity 93.97 vs. 99.14), and higher (specificity 81.67 vs. 70.00). The area under curve with the VGG16 model that observed the gray matter region only was slightly higher than the model that observed the whole brain for both slice-based and patient-based decision processes. Amyloid brain PET images can be appropriately analyzed using the CNN model for predicting the $A{\beta}$-positive and $A{\beta}$-negative status.

• Journal of Korea Port Economic Association
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• v.27 no.1
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• pp.31-54
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• 2011

This paper classifies and defines the infrastructure factors required to performance various logistics activities in domestic logistics centers as base facility, logistics facility, logistics equipment and operation system. The classification of infrastructure factors in this research provide the standard to be able to identify which infrastructure influence on logistics activities directly or indirectly. Also, this paper reviews Korean industrial Standards('KS') related to logistics center and then suggests the reformation of KS reflected on the logistics activities and infrastructures with field-study(321 domestic centers) and advisory meeting1). This review and suggestion can increase the low awareness and use of KS. Lastly, this paper can contribute to increase the effective of logistics centers' plan and operation by providing the improvement direction of KS regarding to logistics centers.

• Journal of Preventive Medicine and Public Health
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• v.28 no.2 s.50
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• pp.497-510
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• 1995

This study was carried out to assess work ability of manufacturing workers and managerial workers. Subjects were 446 manufacturing workers and 278 managerial workers employed in Gumi industrial complex and the observation period was for 1 month(February to March), 1995. In this study, as a questionnaire for the assessment of work ability, we used the Work Ability Index(WAI) which was developed by Institute of Occupational Health in Finland. Major findings obtained from this study were as follows ; WAI was poor in lower economic condition, shift work, irregular diet group(p<0.05). There were no evident trends of WAS in sex, educational level, obesity index, exercise, smoking, and alcohol drinking. In the groups of sensitive to perception of stress, other industrial classification except textile and electronics, the more than 9 hours work, the evident trends of poor WAS were observed(p<0.01). In the groups of $30\sim39$ years old, $40\sim49$ years old, unmarried, high school, shift work, standard body weight, and regular .diet, WAI between manufacturing workers and managerial workers was significantly different(p<0.01) and WAI of managerial worker was worse than that of manufacturing worker.

• Journal of Korea Society of Industrial Information Systems
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• v.17 no.7
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• pp.139-148
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• 2012

An ensemble of classifiers is to employ a set of individually trained classifiers and combine their predictions. It has been found that in most cases the ensembles produce more accurate predictions than the base classifiers. Combining outputs from multiple classifiers, known as ensemble learning, is one of the standard and most important techniques for improving classification accuracy in machine learning. An ensemble of classifiers is efficient only if the individual classifiers make decisions as diverse as possible. Bagging is the most popular method of ensemble learning to generate a diverse set of classifiers. Diversity in bagging is obtained by using different training sets. The different training data subsets are randomly drawn with replacement from the entire training dataset. The random subspace method is an ensemble construction technique using different attribute subsets. In the random subspace, the training dataset is also modified as in bagging. However, this modification is performed in the feature space. Bagging and random subspace are quite well known and popular ensemble algorithms. However, few studies have dealt with the integration of bagging and random subspace using SVM Classifiers, though there is a great potential for useful applications in this area. The focus of this paper is to propose methods for improving SVM performance using hybrid ensemble strategy for bankruptcy prediction. This paper applies the proposed ensemble model to the bankruptcy prediction problem using a real data set from Korean companies.