• Korean Journal of Environment and Ecology
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• v.19 no.4
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• pp.358-366
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• 2005

This study was carried out through the analysis of the actual vegetation types and characteristics in Baengma Urban Natural Park, Incheon to accumulate basic data for the forest vegetation management. The actual vegetation was classified into 39 types. Area of Robinia pseudoa-cacia forest was the widest($34.0\%$) in the afforested vegetation types, while Quercus monglica forest occupied the widest area($12.1\%$) in the natural vegetation types. The map of actual vegetation characteristics was drawn on the basis of stratum structure, plant development tendency and environmental condition of the actual vegetation types. We reclassified it into 16 types and proposed the management plan.

• The Research Journal of the Costume Culture
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• v.9 no.5
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• pp.723-733
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• 2001

The purposes of this study were 1) to examine the effects of the difference between actual and perceived body type and body cathexis on satisfaction with fit and 2) to identify the effect of the difference between chronological and ideal age of middle-aged woman on satisfaction with fit of ready-to-wear. For this study, questionnaires were administered to 500 middle-aged woman in Kwangju. Employing 402 respondents, data were analyzed by using $X^2$-test, t-test and Pearson Correlation. The results were as follows; 1) There were significant differences between actual and perceived body types among middle-aged women. Those who were inconsistent with actual and perceived body types had a tendency to perceive themselves to be obeser than actual body. 2) Those who were inconsistent with actual and perceived body types had a lower satisfaction level with apparel fit sites at jacket length, hip width, crotch length and waist width than those who were consistent with actual and perceived body types. 3) Correlation for body cathexis and satisfaction with fit of ready-to-wear was significantly positive. 4) There were significant differences between chronological and ideal ages. 5) Those who were inconsistent with chronological and ideal ages had a lower satisfaction level with apparel fit sites at neckline, shoulder width, bust, sleeve length, sleeve width, Jacket length, waist width, hip width and skirt length than those who were consistent with chronological and ideal ages.

• Journal of Korean Academy of Nursing Administration
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• v.3 no.2
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• pp.5-15
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• 1997

In studies on the hospital labor-management relations, research about the attitudes of workers and management toward unions was relatively untouched in Korea. This study was investigated to identify the relation among ideal, actual attitudes toward unions, ideal, actual views on nursing profession and career commitment. Data was obtained from a convenience sample of 285 nurses of varying positions, education, career, join union or not. The results of this study were as follows. 1. There was significant differences between ideal attitude toward unions and actual (p < .001). 2. There was significant differences between ideal view on nursing profession and actual (p< .001). 3. There were no correlations between ideal and actual attitude toward unions and nursing career commitment. 4. There were correlation between ideal and actual views on nursing and nursing career commitment(r=.32, r=.46). As the results show, views on nursing profession are more important factor to inhance nursing career commitment than attitude toward union. So the findings of this study suggest that antecedents and moderating variables need to be explored for further theoretical specification and empirical evaluation.

• Journal of Magnetics
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• v.7 no.3
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• pp.101-105
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• 2002

MRAM (Magnetoresistive Random Access Memory) is a promising candidate for a universal memory that meets all application needs with non-volatile, fast operational speed, and low power consumption. The simplest architecture of MRAM cell is a series of MTJ (Magnetic Tunnel Junction) as a data storage part and MOS transistor as a data selection part. This paper is for testing the actual electrical parameters to adopt MRAM technology in the semiconductor based memory device. The discussed topics are an actual integration of MRAM core cell and its properties such as electrical tuning of MOS/MTJ for data sensing and control of magnetic switching for data writing. It will be also tested that limits of the MRAM technology for a high density memory.

• 제어로봇시스템학회:학술대회논문집
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• 1996.10a
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• pp.271-274
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• 1996

In this paper we made a reliability analysis of power system pumps by using the dimensional reduction method which over comes the problem due to unavailability of enpugh data in the actual systems under many different operational environments. Hence a resonable method was proposed to determine the optimum maintenance interval of given pump in thermal power stations. This analysis was based on an actual data set of pumps for over ten years in thermal power stations belonged to Kyushu Electric Power Company, Japan.

• JSTS:Journal of Semiconductor Technology and Science
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• v.2 no.3
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• pp.197-204
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• 2002

DRAM, SRAM, and FLASH memory are three major memory devices currently used in most electronic applications. But, they have very distinct attributes, therefore, each memory could be used only for limited applications. MRAM (Magneto-resistive Random Access Memory) is a promising candidate for a universal memory that meets all application needs with non-volatile, fast operational speed, and low power consumption. The simplest architecture of MRAM cell is a series of MTJ (Magnetic Tunnel Junction) as a data storage part and MOS transistor as a data selection part. To be a commercially competitive memory device, scalability is an important factor as well. This paper is testing the actual electrical parameters and the scaling factors to limit MRAM technology in the semiconductor based memory device by an actual integration of MRAM core cell. Electrical tuning of MOS/MTJ, and control of resistance are important factors for data sensing, and control of magnetic switching for data writing.

• Korean Journal of Computational Design and Engineering
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• v.6 no.4
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• pp.222-228
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• 2001

In the milling operation, the burr can be generated on the intersection of cutting tool and workpiece. Due to burr formation, we expect lower efficiency in the operation and the cost increase. In order to understand the burr formation mechanism in the milling operation on the arbitrary feature, we developed an algorithm to analyse and predict the exit burr formation mechanism. Firstly, the recognition of arbitrary shaped workpiece was done through the CAD data. This data includes point information on the vertices of the workpiece. Secondly, tile CAM data regarding tool geometry, tool path, cutting speed, and material data are retrieved to simulate the actual cutting process. Thirdly, we predict the exit burr formation on the edge of workpiece based on the geometric analysis. Lastly, an algorithm implemented in the Windows environment to visualize the burr formation simulation. With this information, we can predict which portion of workpiece would have the exit burr in advance so that we call manage to find a way to minimize the edit burr formation in the actual cutting.

• International Journal of Air-Conditioning and Refrigeration
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• v.11 no.4
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• pp.170-177
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• 2003

The electric power load during the summer peak time is strongly affected by cooling load, which decreases the preparation ratio of electricity and brings about the failure in the supply of electricity in the electric power system. The ice storage system and heat pump system etc. are used to settle this problem. In this study, the method of estimating temperature and humidity to forecast the cooling load of ice storage system is suggested. The method of forecasting the cooling load using neural network is also suggested. The daily cooling load is mainly dependent on actual temperature and humidity of the day. The simulation is started with forecasting the temperature and humidity of the following day from the past data. The cooling load is then simulated by using the forecasted temperature and humidity data obtained from the simulation. It was observed that the forecasted data were closely approached to the actual data.

• Design & Manufacturing
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• v.13 no.3
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• pp.29-34
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• 2019

Cell phone injection is characterized by its small size and thinness. In addition, the product has a short cycle time, requiring a very short production schedule. To produce more accurate products faster, data from experience in producing similar products is required. In this study, two mobile phone models are presented. In this study, the quality problems caused by molding analysis and actual injection molding were analyzed and made into a database. As a result, it was considered that all the defects in the molding analysis do not affect the product in some cases, rather than appear as defects in the actual product. All defects shown in the molding analysis can be made into a database, and based on this data, it will be possible to obtain an effect that can predict more accurately whether it will cause problems after injection.

• Journal of the Korean Society of Safety
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• v.33 no.6
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• pp.42-49
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• 2018

In this study, we have developed a prediction model for expansion and contraction behaviors of expansion joint in Gwangan Bridge using machine learning techniques and bridge monitoring data. In the development of the prediction model, two famous machine learning techniques, multiple regression analysis (MRA) and artificial neural network (ANN), were employed. Structural monitoring data obtained from bridge monitoring system of Gwangan Bridge were used to train and validate the developed models. From the results, it was found that the expansion and contraction behaviors predicted by the developed models are matched well with actual expansion and contraction behaviors of Gwangan Bridge. Therefore, it can be concluded that both MRA and ANN models can be used to predict the expansion and contraction behaviors of Gwangan Bridge without actual measurements of those behaviors.