• Korean Journal of Environment and Ecology
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• v.22 no.4
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• pp.396-408
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• 2008

Gwangtan-myeon, Paju-si, Gyeonggi-do was classified as a 4 grade age-class deciduous tree forest, however as a result of vegetation survey, this site was found to consist of natural forest with deciduous trees, thus causing difficulty in judging which age class it belongs to. Subsequently, the necessity of drawing up a detailed stock map plan was raised. For this reason, this research was designed to propose a mapping method for a detailed stock map plan based on a detailed survey on actual vegetation, vegetation structure, and analysis data on tree rings. The detailed analysis of actual vegetation pattern showed that there exist 22 patterns of vegetation, in which the natural forest has 11 patterns, such as Quercus mongolica forest and Q. variabilis forest, etc. while the artificial forest was found to have 6 patterns including Castanea crenata, etc. In order to verify their age-class, this research measured a tree age by collecting 42 quadrats and 89 specimen tree cores on the basis of a detailed actual vegetation map; as a result, an artificial forest and oak trees with small diameters located at low-lying areas, was categorized as 2-grade age class(covering 29.8%), and other areas were judged to be available for land use as 3-grade age-class(covering 57.6%) while the areas judged to be 4-or-more grade age-class (covering 8.8%) was impossible for land use because they are located on a steep slope ridge line on a boundary. In case a proposed site for a small-scale development is judged as a natural forest with deciduous trees as mentioned above, it is necessary that a detailed stock map plan should be drawn up through a detailed investigation into actual vegetation and analysis of plant gathering structure & specimen trees. A detailed stock map plan includes the data that makes it possible to comprehensively judge natural property, scarcity, and diversity of vegetation; thus, it is considered that a detailed stock map plan will be useful in judging the development propriety of a small-scale site.

• Journal of Technologic Dentistry
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• v.33 no.4
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• pp.369-378
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• 2011

Purpose: This study was carried out for the purpose of obtaining basic data necessary for developing the future oral health promotion program of the elderly by surveying the actual condition of managing dental prosthesis in the elderly. Methods: It collected materials targeting 346 elderly brackets in over 65 years old who dwell in Seoul and Gyeonggi-do Province for about 10 months from September 2010 to June 2011, analyzed 312 copies except 34 copies, which are inappropriate for data processing due to being insufficient in response among these things, and obtained the following results. Results: In the actual condition of missing tooth, a case of missing tooth was indicated to be 78.8%. In case of missing tooth, the number of missing teeth was indicated to be 75.6% for under 5 pieces and 19.1% for over 21 pieces. In the actual condition of managing prosthesis, a case with dental prosthesis treatment was indicated to be 77.6%. A kind of prosthesis was indicated to be the highest in fixed partial dentures with 36.5%. In a method of rinsing dentures, 47.7% of the elderly responded as saying of washing it out with water. The appearance of removing dentures at night was indicated to be the highest in doing so with 63.1%. Satisfaction with prosthesis of being mounted now was indicated to be moderate with 50.4%. As for the appearance of having experience of education on how to manage prosthesis, it was indicated to be high with 50.4% in having none. In a kind of prosthesis depending on averagely monthly income, the ratio of total dentures was high when averagely monthly income is low. On the other hand, a case with high income was indicated to have high ratio in implants. The satisfaction with prosthesis was low when averagely monthly income is low. Also, in the experience of education on how to manage prosthesis, the ratio of responses as saying of having no experience of education on how to manage prosthesis was indicated to be high when averagely monthly income is low. Conclusion: Examining the above results, a developmental plan is considered to be necessary such as developing continuous and systematic oral health promotion program for managing elderly people's managing dental prothesis.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 2000.11b
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• pp.146-153
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• 2000

The rubber crawler system for farm machine is composed of driving units such as track rollers, driving sprockets and rubber crawlers. Vibration characteristics of the rubber crawler system varies by driving speed, center of gravity, mass□moment of inertial□location arrangement of track rollers and dynamic parameters such as dynamic spring constant (k) and viscous damping coefficient (c) of a rubber crawler. In general, vibration of the rubber crawler system occurs by reason for mechanical interaction between the rubber crawler and track rollers. Because the dynamic spring constant and viscous damping coefficient vary periodically by mechanical characteristics(deformation characteristics) of the rubber crawler when track rollers drive on the between lugs of the rubber crawler. Therefore, both dynamic parameters k and c were expressed as Fourier series by authors through the shaking test of the rubber crawler and further, vibration characteristics of the rubber crawler system could be simulated analytically. However, actual values of dynamic parameters k and c are different from those obtained by the shaking test because dynamic characteristics of the rubber crawler vary by the effect of variable tension and driving resistance of track rollers. So, actual values of k and c should be identified in the condition of actual driving test. In this study, dynamic parameters such as k and c of the rubber crawler system, which are expressed as Fourier series, were identified using the Gauss-Newton Method. Therefore, validity of identified parameters k and c was discussed through the simulation using experimental data of actual driving test. As a result, in the Fourier series of dynamic parameters of spring constant k and viscous damping coefficient c, excellent parameter convergence and simulation were observed using the Fourier series' zero order and first term of the dynamic model. Furthermore, it was clarified that identification for model parameters which are fitted to actual dynamic motion (vibration) wave of the crawler system was possible by using the time series data observed in vertical and pitching motion of the crawler system.

• Korean Journal of Health Education and Promotion
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• v.11 no.1
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• pp.57-69
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• 1994

The purpose of this study is to investigate the experience of abortion and practice of contraception in view of preventive in order to analysis the degree of family planning according to the sex & number of actual children. We collected data on married conceptive women who are resident in Seoul and from 20 age to 49 age. This was carried out from 26 July, 1993 to 25 August, 1993. This collected data was analyzed through x² Logistic regression using SAS/PC/sup +/and SPSS/PC/sup +/. The analyzed results are as follow. 1. Those who answered "son is not positively necessary"are only 15.7% among investigated women. 2. The percentage of practicing contraception was 68.2%, in case of 30s' women it was 74.3% and most high. Also, in view of religion, the percentage of practicing contraception of Buddihist was most low as 61.54% (p<0.05). 3. The portion of those who had sons more than four who used permanent. method of contraception is most high(83.3%), in terms of composition, while the ratio of those who have only son is 60.7%, the ratio of those who have only daughter was only 14.3%. 4. In order to investigate the independent variable affecting practice of contraception, we analysed data with Logistic regression analysis. The result of this analysis is as follows: the older(p<0.01) woman is and the higher the level of education of woman(p<0.05), the more it affects significantly practice of contraception. 5. In abrotion experience, the number of experienced women was 241(50.3%) and including repeated abortion, the total number of abortion is 317. The main reason of abortion was that they didn't want more child. The number of abortion due to such reason was 153(48.3%), Especially, the 181(43.0%) cases among last pregnancy 421 cases were the undesired pregnancy. So, the 147 cases of them came to abortion. 6. In the number of actual children, the ratio of those who have three children occupied high portion(56.7%, p<0.05), for the composition of children, although the case of those who have both son and daughter showed most high ratio of experience of abortion, but it was statistically insignificant. 7. In order to investigate independent variable affecting experience of abortion, we used Logistic regression analysis. The result of the analysis was that the older women was(p<0.01) and the more they had actual children(p<0.01), it significantly affected abortion.

• Journal of the Korean Association of Geographic Information Studies
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• v.26 no.1
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• pp.56-68
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• 2023

A system that extracts seabed topographic information by simultaneously and continuously observing the horizontal position and water depth in the sea by combining a single beam echosounder and GNSS was constructed. By applying the developed system to actual measurements of small-scale sea areas, the effectiveness of bathymetry and sea-floor topographic data acquisition using GNSS and echosounder was examined. By using the developed outdoor program DS-NAV and indoor program DS-CAD and applying the tide level data at the time of actual measurement of the target sea area, it was possible to derive bathymetry results based on the datum level i.e. approximate lowest low water level(A.L.L.W). By using the developed outdoor program DS-NAV and indoor program DS-CAD and applying the tide level data at the time of actual measurement of the target sea area, it was possible to derive the results of bathymetric survey based on the datum level. From database built through the actual measurement. it was possible to create 3D model of the sea-floor topography and extract cross-sections. The results of this study are expected to be economically useful for extracting seabed topographical information from small sea areas or in dredging sites for offshore construction.

• Smart Media Journal
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• v.3 no.3
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• pp.9-14
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• 2014

The increasing number of ECUs in automobiles causes the CAN bus overloaded and consequently the error probability of data transmission increases. Since the time duration for the data transmission is proportional to CAN frame length, it is desirable to reduce the frame length. In this paper, we present a CAN message compression method using Data Length Code (DLC) and bit rearrangement. By simulations using actual CAN data, it is shown that the CAN transmission data is reduced up to 54 % by the proposed method, compared with conventional methods.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2008.10a
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• pp.319-323
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• 2008

"How does advertising affect sales?" is the fundamental issue of modern advertising research. There is an interesting issue for estimating carry over effects of advertising on sales, and the aggregated data biases exist in the duration of advertising effect. This research suggests a modified model at micro-data using Koyck model (Koyck 1954) by estimated model the aggregate data, and empirically shows the aggregated data bias. Our modified model with the aggregated level of actual data is more appropriate than the base model for micro-data. The result shows that it is very important to consider the disaggregated data level in the analysis of dynamic effects of adverting such as lagged effects.

• Korean Journal of Air-Conditioning and Refrigeration Engineering
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• v.24 no.3
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• pp.212-217
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• 2012

The cooling of data centers has emerged as a significant challenge as the density of IT equipment increased. With the rapid increasing of heat load and cooling system, predictions for electronics power trends have been closely watched. A data center power density projection is needed so that IT organizations can develop data centers with adequate cooling for reasonable lifetimes. This paper will discuss the need for something more than processor and equipment power trend projections which have overestimated the required infrastructure for customers. This projection will use data from a survey of actual enterprise data centers and the ASHRAE projections to formulate a data center server heat load trend projection.

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 2000.10a
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• pp.239-245
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• 2000

This study is aimed to develop the historical data management system named "ACON"(Actual COst Network system) which can be used for collecting, analysis and modification of the historical data. ACON_Local is used for collecting the historical data at each spot place. It redueces the work potential of managers, spending time and cost. ACON_Analysis is to analyze the collection , modifies the data′s error and updates the historical database. ACON_Network is developed to transfer data from ACON to Web server or opposites. The proposed model, ACON, provide the easy way for the cost estimate system, "HiCOMS" to collect, analyze and modify the historical cost evaluated data, which is used to compose the historical data base.

• Journal of Integrative Natural Science
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• v.13 no.4
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• pp.147-151
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• 2020

In this paper, we propose a method to detect concept drift by applying Convolutional Neural Network (CNN) in a data stream environment. Since the conventional method compares only the final output value of the CNN and detects it as a concept drift if there is a difference, there is a problem in that the actual input value of the data stream reacts sensitively even if there is no significant difference and is incorrectly detected as a concept drift. Therefore, in this paper, in order to reduce such errors, not only the output value of CNN but also the probability vector are used. First, the data entered into the data stream is patterned to learn from the neural network model, and the difference between the output value and probability vector of the current data and the historical data of these learned neural network models is compared to detect the concept drift. The proposed method confirmed that only CNN output values could be used to reduce detection errors compared to how concept drift were detected.