• Korea Journal of Hospital Management
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• v.5 no.2
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• pp.22-39
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• 2000

The purpose of this study was to determine the difference between estimated profit and utilization of medical equipment upon purchasing and actual results at one teaching hospital in Seoul, Korea Medical equipments over $100,000 from 1992 to 1997 were selected and results were as follows: 1. Twenty equipments out of thirty exceeded estimated profits and the difference was 3.98 billion won and ten equipments did not reach the estimated profits and 5.5 billion won was the difference. Diagnostic equipment exceeded the estimated profit which surgical equipment didn't. 2. Eleven equipments exceeded estimated utilization, which showed 100%. In the mean time, eighteen equipments didn't reach the estimated utilization, which was 71%. Diagnostic equipment showed the less estimated utilization than surgical equipment 3. Twenty-one equipments showed the 6.83 billion won profits and nine equipments showed the 1.6 billion won deficits. Diagnostic equipment was more profitable than surgical equipment. Finally. diagnostic equipment helped improving hospital management than surgical equipment. 4. Main factors which showed the big difference from the initial plan were lacking reasonable estimated method, no evaluation system for purchase, emphasis in medical treatment, excessive expenditure in maintenance, duplicated investment for medical equipment and leadership commitment. As a result. Substantial planning is required from the requesting department in consideration of estimated profit and utilization and systematic quality control is needed to confirm. Also, One-sided decision making should be avoided to purchase a high cost medical equipment and efforts should be made in examining carefully and developing a reasonable analytic method.

• Journal of Microbiology and Biotechnology
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• v.20 no.12
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• pp.1630-1636
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• 2010

During the fermentation process of Saccharomyces cerevisiae, yeast cells must rapidly respond to a wide variety of external stresses in order to survive the constantly changing environment, including ethanol stress. The accumulation of ethanol can severely inhibit cell growth activity and productivity. Thus, the response to changing ethanol concentrations is one of the most important stress reactions in S. cerevisiae and worthy of thorough investigation. Therefore, this study examined the relationship between ethanol tolerance in S. cerevisiae and a unique protein called alcohol sensitive RING/PHD finger 1 protein (Asr1p). A real-time PCR showed that upon exposure to 8% ethanol, the expression of Asr1 was continuously enhanced, reaching a peak 2 h after stimulation. This result was confirmed by monitoring the fluorescence levels using a strain with a green fluorescent protein tagged to the C-terminal of Asr1p. The fluorescent microscopy also revealed a change in the subcellular localization before and after stimulation. Furthermore, the disruption of the Asr1 gene resulted in hypersensitivity on the medium containing ethanol, when compared with the wild-type strain. Thus, when taken together, the present results suggest that Asr1 is involved in the response to ethanol stress in the yeast S. cerevisiae.

• Journal of Digital Convergence
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• v.14 no.12
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• pp.55-63
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• 2016

Recently, FTA may go beyond the agreement of the two countries, and also FTA is tinged aspects of Mega FTA between the economic sphere, under the situation that FTA and the business model are mutually intertwined in convergence industrial environments. Since South Korea came into force in 52 countries and 15 cases of FTA, South Korea have completed FTA network with the United States, as well as ASEAN and most of OECD member countries, and South Korea is now a critical time to take advantage of the FTA to determine the South Korea's economic performance. This paper examined the previous studies of FTA utilization and analyzed practical usages and problems of SMEs' FTA utilization. Through analysis, this paper suggests that the Training Plans of SMEs' Origin Management Specialist for the Improvement of FTA Utilization is as follows: to build up the effective management system of origin supports, to enrich the origin management competency, to reinforce the operation of supporting system, and to strengthen practical capacity of Origin administrative staff. Based on the results, it is expected to provide the policy implications for the FTA utilization in the future.

• Health Policy and Management
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• v.22 no.4
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• pp.497-521
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• 2012

Objectives This study aimed to investigate the effect of social capital, health risk behavior and health status on medical care utilization by the elderly. The data and Research method Data were obtained from the 4th wave survey of the Korea Welfare Panel Study. 4,087 household members aged 65 years and over were subject to analysis. Descriptive statistics are used to describe the basic features of the data in a study. we performed a structural equation modeling(SEM) analysis to evaluate the effect of social capital and mediating effect of health risk behavior and health status. Results Results showed that factors related to medical care utilization of the elderly were different depending on types of service (inpatient and outpatient service) except health status. Age, higher social capital, more health-risk behavior and poorer health status were associated with increased use of inpatient service. Social capital was found to have a positive direct effect on it. Also, social capital had an indirect effect on reducing use of inpatient services by improving health status. On the other hand, lower age and higher household income tended to increase use of outpatient service, while higher social capital and higher health status were inversely related. Social capital had a direct effect and an indirect effect on reducing use of outpatient service and, at that time, health status played a mediating role. Conclusions Social capital may contribute to improve health status and indirectly reduce medical care utilization of the elderly by enhancing their health status. These results provide evidence that more policy and strategy considerations should be needed for the elderly to strengthen their social capital in order to enhance their levels of health and more efficient utilization of medical care.

• The Korean Journal of Food And Nutrition
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• v.32 no.4
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• pp.364-370
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• 2019

This study was conducted to select cultivars and determine the harvest period suited for the availability of biological activities in unripen apple. To analyze effective the components in the apple (Malus domestica), three cultivars, 'Summerking', 'Hongro', 'Fuji' were harvested from 40~50 days after full bloom to harvest time. Soluble solid content increased gradually by ripening but titratable acidity decreased with ripening regardless of the cultivars. The total phenol content significantly reduced with ripening from May 30 to July 30 (p<0.05). Substantially, the total phenol content of 'Hongro' in May 30 was four times higher than that of 'Summerking' in the same period and ten times higher than that of 'Hongro' in August 30. The total flavonoid content reduced with ripening regardless of cultivars (p<0.05) and that of 'Hongro' in May 30 was significantly highest (p<0.05). The ascorbic acid content was the highest in 'Hongro' in May 30 (p<0.05). The contents of tannin and ursolic acid significantly reduced with ripening from May 30 to July 30 (p<0.05), while no significant difference was observed between Hogro and Fuji after July 30. Therefore, 'Hongro' harvested in May 30 was considered to be best in the utilization of the effective components of immature apple.

• Proceedings of the Korean Society of Crop Science Conference
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• 2022.10a
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• pp.47-47
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• 2022

• Journal of Information Technology Applications and Management
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• v.16 no.4
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• pp.205-222
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• 2009

Considering time-lag in the performance evaluation of information system (IS) investment is important because its effect reveals after certain period of time passed. Particularly it is more in the systems of e-government informatization projects which the amount of investment and the scale of business are huge. Many methods to solve this issue have been proposed such as system dynamics methods, simulations, structural equations etc. However, it is still difficult and unsolved problem because collecting practical data for time-lag analysis is very hard. In this paper, we analyze IS time-lag effect through factor analysis using the accumulated practical operational DB data. For the performance evaluation of the G4C system, the representative e-government web portal, we selected eleven factors reflecting time passing in G4C DB data. With these factors this paper conduct time-lag analysis in four view points. First, we conducted 'Stabilizing of G4C system' and got a result that IS is needed about three years for the stabilization. Second, we conducted 'Utilization of G4C system' and got a result that the utilization reaches appropriate level after in three years later after the introduction of G4C system. Third, we conducted 'Cost reduction effect' and got a result that cost reduction is stable in the third year after the introduction of G4C system. Lastly, we conducted 'System maturity effect' and got a result that the system reaches to the quality level that users expect after third to fourth years. According to the results of this research, we found that performance of IS improv continuously not immediately, and it needs three or four years of time-lag.

• Journal of Korea Multimedia Society
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• v.14 no.2
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• pp.219-227
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• 2011

The superframe structure of IEEE 802.15.4, an international standard for low rate WPAN, is composed of CAP(Contention access period) and CFP(Contention free period). CAP is the contention-based access period, while CFP is contention-free access period for supporting QoS by allocating fixed bandwidth. The standard can support QoS for only a few devices, because the maximum number of GTSs is 7. Furthermore, as the value of BO (Beacon order) or SO (Superframe order) increases, the size of a time slot increases. This makes it difficult to precisely allocate bandwidth for any device, because the bandwidth is allocated by the unit of GTS. The proposed scheme of this paper can reduce the waste of BW in CFP by adaptively reducing the size of a time slot in CFP as the value of BO or SO increases and increase the number of GTSs to 127 by modifying the standard. The performance analysis shows that the proposed scheme can dramatically increase the bandwidth utilization during the CFP when comparing with IEEE 802.15.4.

• Journal of the Korean Wood Science and Technology
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• v.38 no.6
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• pp.498-506
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• 2010

To use domestic softwood for structural lumber, appropriate grading system for quality, production and distribution condition of domestic lumber should be prepared. Kim et al. developed an automatic image processing system for grading domestic structural lumber (2009a and b). This study was carried out to investigate optimal image merging conditions for improving performance of image input system which is the key technique of image processing system, developed in the previous paper. To merge digital images of Korean larch lumber, choosing the green channel information of obtained image data showed the most accurate merging performance. As a pre-treatment process, applying Y-derivative Sharr's kernel filter could improve the image merging accuracy, but the effect of camera calibration was imperceptible. The optimal size of template image was verified as 30 pixel widths and 150 pixel heights. When applying the above mentioned conditions, the error length of images was 3.1 mm and the processing time was 9.7 seconds in average.

• KIPS Transactions on Computer and Communication Systems
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• v.11 no.7
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• pp.205-216
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• 2022

One of the many tools used for distributed deep learning training is Kubeflow, which runs on Kubernetes, a container orchestration tool. TensorFlow jobs can be managed using the existing operator provided by Kubeflow. However, when considering the distributed deep learning training jobs based on the parameter server architecture, the scheduling policy used by the existing operator does not consider the task affinity of the distributed training job and does not provide the ability to dynamically allocate or release resources. This can lead to long job completion time and low resource utilization rate. Therefore, in this paper we proposes a new operator that efficiently schedules distributed deep learning training jobs to minimize the job completion time and increase resource utilization rate. We implemented the new operator by modifying the existing operator and conducted experiments to evaluate its performance. The experiment results showed that our scheduling policy improved the average job completion time reduction rate of up to 84% and average CPU utilization increase rate of up to 92%.