• Journal of the Korean Institute of Landscape Architecture
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• v.41 no.5
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• pp.78-90
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• 2013

The purpose of this study was to analyze the types and characteristics of public complaints caused by the landscape architecture projects in the case of apartment complex. Furthermore, its purpose was also to propose as the basis data for the minimization of complaints in the course of future landscape architecture projects. To analyze and categorize the apartment complex civil complaints, we collected basic and case study data from LH Corporation, SH Corporation and GICO from 2009 to 2012. We also categorized 672 landscape complaints to 73 categories and conducted a survey from residents and landscape architecture. This Survey is to use IPA can collect character(public-private), handling of civil affair(easy-hard) and analyze typical characters and difference of civil complaint awareness between landscape architecture and residents. First, we were categorized 73 civil complaints by type in 5 categories such as park, green space and street trees, pedestrian road, facilities, and others. Second, the most common landscape complaints appear in green spaces, street trees, facilities, pedestrian roads and park orders. Third, results of the analysis conducted for each item which are publicity and measures the ease. 'Facilities', 'landscape and greenery', 'pedestrian road' and others were commonly appears from residents and professional awareness of the complaints. However, complaints of park appear different awareness between landscape architecture and residents. Fourth, 35 from 73 civil complaints(47.9%) are having high publicity and easy to measure, 25 civil complaints(34.2%) has analyzed to individual and difficult to measure so about the these complaints need to check from the design step so that it is necessary to minimize the problem of additional expense by civil complaints burden and decrease the confidence of residence problem were considered.

• Journal of the Korea Convergence Society
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• v.1 no.1
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• pp.41-47
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• 2010

This study was conducted to investigate determinent factors of the internet addiction that have influenced on middle school students. We randomly selected each one middle school in urban and rural areas, and conducted survey in 862 students of 2nd and 3rd grade from September 1 to 15, 2005. By using a statistical program called SPSS10.0, the data collected thereby were analyzed through a series of statistical methods including $x^2$-test, logistic regression analysis. The result of logistic regression analysis showed that the significant variables in urban area were resting time and using time a day. In rural area, sex, economic level, resting time and using time a day were significant variables. Higher status of internet addiction showed significant relationship with physical problems, anxiety, maladjustment to school, insufficient sleep time, fatigue in eyes, headache, pain in neck or shoulder, chronic fatigue, reduced vision, weight reduction, indigestion, xeroderma and adjustment to school. Especially, resting time and using time a day have dominant influence on internet addiction. And in case that the groups who showed high addiction tendency, there were negative health problem by physical, mental and social problem. To prevent internet addiction health education programs of right internet use and time, importance of rest, and health problems must be considered in internet addiction prevention policy.

• Journal of Korean Academy of Nursing
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• v.24 no.4
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• pp.597-615
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• 1994

This study is designed to facilitate the creation of home environment conducive to the family taking care of chronic bed-ridden patients with more effective method. The need for this study has emerged against the background of marked changes in the structure of ailments and causes of death, resulting in the number and plights of chronic bed-ridden patients as well as of a rapid increase in demand for medical care and resulting premature discharge. Keeping these in mind, this study focused on home-wards where the majority of chronic bed-ridden patients are being cared for. Despite. their overriding importance, home-words are less than efficient in caring (or chronic bed-ridden patients. These circumstances require the designing of home-wards that can offer greater comfort to patients and at the same time make things easier for caregivers, on the basis of an overall analysis of patients' life and home - ward situation. According1y this study adopted a Participant Observation Method derived cultural anthropology, Toward this end, 3 patients were chosen as subjects of this study for intensive interviewing and participant observation. In the process of this field re-search efforts were made to collect emprical data, that is, to faithfully record the words of the subjects and their caregivers for analysis and interpretation. The findings of these analyses are as follows. Firstly, the chronic bed-ridden patients are mostly being taken care by close family members. Secondly, a room for the exclusive use of the patient, floor, kitchen, bathroom and multipurpose space were found to be necessary for proper caring of the patient. These spaces were respectively used with a view to 1) accomodating the patient as well as caregivers' activities, 2) keeping general and medical supplies and other appliances for patient's care and drying the patient's washing, 3) preparing and keeping the patient's foods and beverages, 4) keeping the supplies necessary for cleaning the patient's body and treating the patient's eliminations, 5) washing the patient's clothes, underwears and bedclothes. The patient's room in turn is subdivided into six portions in terms of uses : specifically the places for accomodating 1) the patient, 2) medical supplies, 3) medicines, 4) linens St clothes, 5) bedclothes and, 6) diapers. Thirdly, the activities of the caregiver are subdivided into seven key areas : hygiene, exercise, diet, elimination, therapeutic nursing, prevention of sore, and other activities. Each area is further classified into several different activities of caring. These activities we mainly carried out in the patient's room. Fourthly, the supplies for caring the chronic bed-ridden patient is divided into two large domains : medical and general supplies. Finally, three main problems areas were found in this study on the part of caregivers, that is, sore prevention, hygiene problem related frequent urination / defecation, the caregiver's physical, psych ological and emotional burden. In consideration of the aforesaid problem areas, a model home-ward was developed in this study. The newly-developed model has been found to have the following six advantages. Firstly, the time and effort required for maintaining the patient's hygiene are reduced, thus relievins the caregiver's physical and psychological bur-den. Secondly, the patient's hygiene can be maintained in satisfactory conditions, because the patient's eliminations are more easily removed. Thirdly, skin irritations caused by the patient's eliminations were remarkably reduced and so were the patient's sores due to moisture and bacteria. Fourthly, the home-ward have a tilt-table ef-fect thanks to the inclining room floor. This improves the patient's cardiovascular function as well as constantly changes pressed skin areas and thus prevents sores. Fifthly, improved shelf arrangements help make the best use of patient's supplies. Sixthly, the trouble of continuously changing clothes, underwears, diapers & bedclothes is remarkably reduced simply by covering the patient with cotton sheets when laid in bed. This is espected to cut down expenses by reducing the comsumptions of diapers and other disposable supplies.

• Journal of The Korean Association For Science Education
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• v.22 no.4
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• pp.706-716
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• 2002

The purpose of this study was to compare and analyze the science process skills and teaching methods between the 6th and the 7th elementary school science textbooks. For this study, science textbooks and teacher's guidebooks from the 3rd to the 6th grade were analyzed. In this research the science process skills are divided by basic process skills(BPS) and integrated process skills(IPS). The BPS is composed of observing, classifying, measuring, predicting and inferring skill, which are 5 subcategories. The IPS is composed of problem cognition, formulating hypothesis, controlling variables, transforming data, interpreting data, drawing result, and generalization, which are 7 subcategories. The results found in the analysis of science process skills in the 6th and 7th science textbooks are as follows: 1. The percentage of the BPS was increased, but the IPS was decreased in the 7th than the 6th. 2. The percentage of the IPS was higher than the BPS in the 6th science textbooks, but the BPS was higher than IPS in lower grade and the IPS was higher than the BPS in higher grade in the 7th textbooks. 3. Observing and problem cognition skill were most dominant in the 6th and 7th science textbooks. 4. The percentages of observing(24.8%), classifying(5.4%), measuring(5.6%), inferring(6.0%) in the BPS and interpreting data(4.4%) in the IPS were increased, but predicting(3.8%), formulating hypothesis(0.5%), controlling variables( 1.8%), transforming data( 1.2%), drawing result(0.8%) and generalization(0.9%) skills were decreased in the 7th. And teaching methods suggested in the curriculum are as follows: the percentages of learning by observation(19.2%) and role play(0.1 %) were decreased, but learning by experiment(6.2%), learning by discussion(2.0%), learning by investigation(4.6%) and creative learning(6,4%) were increased in the 7th than the 6th. In conclusion, it was found that the basic process skills were emphasized in the 7th science textbooks than the 6th and the science process skills in the science textbooks of the 7th curriculum were distributed by the grade level of the elementary children.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.23 no.1
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• pp.23-30
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• 2012

Objectives : This study was conducted to investigate the prevalence of victims of bullying and the demographic characteristics of victims, and their related psychopathology, in a Korean nationwide sample of youths in middle and high school over a one month period. Methods : During the autumn of 2009, students in the 7th to 12th grades at 23 secondary schools participated in a nationwide, cross-sectional study. The study subjects completed the Adolescent Mental Health and Problem Behavior Screening Questionnaire-II (AMPQ-II) and Symptom Checklist-90-Revision (SCL-90-R). Based on the data acquired, descriptive statistics, correlation coefficients and multiple logistic regression analysis were performed. Results : Among the 3364 participants, 2272 (67.54%) completed the questionnaire. The prevalence of victimization was 28.9%. Male gender was positively associated with victimization, and grade level was negatively related to victimization. The AMPQ-II bullying score (Factor 4) was significantly (p<.001) and positively correlated to the AMPQ-II student total score (r= 0.50), Worry and thought (Factor 1 ; r=0.38), Mood and suicide (Factor 2 ; r=0.31), Academic and Internet-related problems (Factor 3 ; r=0.24), Rule violations (Factor 5 ; r=0.23), and AMPQ-II teacher total score (r=0.11). Somatization (r=0.23), Obsessive-compulsive behavior (r=0.24), Interpersonal sensitivity (r=0.30), Depression (r=0.33), Anxiety (r=0.26), Hostility (r=0.30), Phobic anxiety (r=0.22), Paranoid ideation (r=0.36), and Psychoticism (r=0.31) results from the SCL-90-R were also found to be positively related to the AMPQ-II bullying score, and remained significant after adjusting for age and gender. A total of 26% of the victims reported suicidal ideations as compared to 9% of non-victims over the month prior to the evaluation ($x^2$=119.595, df=1, p<.001). The multiple logistic regression analysis indicated that the AMPQ-II bullying score significantly increased the risk of suicidal ideation [Exp(b)=1.55, df=1, p<.001] after adjusting for age and gender. Conclusion : School bullying was highly prevalent among Korean middle and high school students. This study provided strong evidence that suicidal ideation and psychopathology were serious problems among the victims of bullying.

• Asia pacific journal of information systems
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• v.19 no.2
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• pp.139-155
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• 2009

For the last few decades, many studies have tried to explore and unveil venture companies' success factors and unique features in order to identify the sources of such companies' competitive advantages over their rivals. Such venture companies have shown tendency to give high returns for investors generally making the best use of information technology. For this reason, many venture companies are keen on attracting avid investors' attention. Investors generally make their investment decisions by carefully examining the evaluation criteria of the alternatives. To them, credit rating information provided by international rating agencies, such as Standard and Poor's, Moody's and Fitch is crucial source as to such pivotal concerns as companies stability, growth, and risk status. But these types of information are generated only for the companies issuing corporate bonds, not venture companies. Therefore, this study proposes a method for evaluating venture businesses by presenting our recent empirical results using financial data of Korean venture companies listed on KOSDAQ in Korea exchange. In addition, this paper used multi-class SVM for the prediction of DEA-based efficiency rating for venture businesses, which was derived from our proposed method. Our approach sheds light on ways to locate efficient companies generating high level of profits. Above all, in determining effective ways to evaluate a venture firm's efficiency, it is important to understand the major contributing factors of such efficiency. Therefore, this paper is constructed on the basis of following two ideas to classify which companies are more efficient venture companies: i) making DEA based multi-class rating for sample companies and ii) developing multi-class SVM-based efficiency prediction model for classifying all companies. First, the Data Envelopment Analysis(DEA) is a non-parametric multiple input-output efficiency technique that measures the relative efficiency of decision making units(DMUs) using a linear programming based model. It is non-parametric because it requires no assumption on the shape or parameters of the underlying production function. DEA has been already widely applied for evaluating the relative efficiency of DMUs. Recently, a number of DEA based studies have evaluated the efficiency of various types of companies, such as internet companies and venture companies. It has been also applied to corporate credit ratings. In this study we utilized DEA for sorting venture companies by efficiency based ratings. The Support Vector Machine(SVM), on the other hand, is a popular technique for solving data classification problems. In this paper, we employed SVM to classify the efficiency ratings in IT venture companies according to the results of DEA. The SVM method was first developed by Vapnik (1995). As one of many machine learning techniques, SVM is based on a statistical theory. Thus far, the method has shown good performances especially in generalizing capacity in classification tasks, resulting in numerous applications in many areas of business, SVM is basically the algorithm that finds the maximum margin hyperplane, which is the maximum separation between classes. According to this method, support vectors are the closest to the maximum margin hyperplane. If it is impossible to classify, we can use the kernel function. In the case of nonlinear class boundaries, we can transform the inputs into a high-dimensional feature space, This is the original input space and is mapped into a high-dimensional dot-product space. Many studies applied SVM to the prediction of bankruptcy, the forecast a financial time series, and the problem of estimating credit rating, In this study we employed SVM for developing data mining-based efficiency prediction model. We used the Gaussian radial function as a kernel function of SVM. In multi-class SVM, we adopted one-against-one approach between binary classification method and two all-together methods, proposed by Weston and Watkins(1999) and Crammer and Singer(2000), respectively. In this research, we used corporate information of 154 companies listed on KOSDAQ market in Korea exchange. We obtained companies' financial information of 2005 from the KIS(Korea Information Service, Inc.). Using this data, we made multi-class rating with DEA efficiency and built multi-class prediction model based data mining. Among three manners of multi-classification, the hit ratio of the Weston and Watkins method is the best in the test data set. In multi classification problems as efficiency ratings of venture business, it is very useful for investors to know the class with errors, one class difference, when it is difficult to find out the accurate class in the actual market. So we presented accuracy results within 1-class errors, and the Weston and Watkins method showed 85.7% accuracy in our test samples. We conclude that the DEA based multi-class approach in venture business generates more information than the binary classification problem, notwithstanding its efficiency level. We believe this model can help investors in decision making as it provides a reliably tool to evaluate venture companies in the financial domain. For the future research, we perceive the need to enhance such areas as the variable selection process, the parameter selection of kernel function, the generalization, and the sample size of multi-class.

• Journal of Wetlands Research
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• v.19 no.3
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• pp.345-352
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• 2017

The average global temperature on Earth has increased by about $0.85^{\circ}C$ since 1880 due to the global warming. The temperature increase affects hydrologic phenomenon and so the world has been suffered from natural disasters such as floods and droughts. Therefore, especially, in the aspect of water deficit, we may require the accurate prediction of water demand considering the uncertainty of climate in order to establish water resources planning and to ensure safe water supply for the future. To do this, the study evaluated future water balance and water deficit under the climate change for Anseong river basin in Korea. The future rainfall was simulated using RCP 8.5 climate change scenario and the runoff was estimated through the SLURP model which is a semi-distributed rainfall-runoff model for the basin. Scenario and network for the water balance analysis in sub-basins of Anseong river basin were established through K-WEAP model. And the water demand for the future was estimated by the linear regression equation using amounts of water uses(domestic water use, industrial water use, and agricultural water use) calculated by historical data (1965 to 2011). As the result of water balance analysis, we confirmed that the domestic and industrial water uses will be increased in the future because of population growth, rapid urbanization, and climate change due to global warming. However, the agricultural water use will be gradually decreased. Totally, we had shown that the water deficit problem will be critical in the future in Anseong river basin. Therefore, as the case study, we suggested two alternatives of pumping station construction and restriction of water use for solving the water deficit problem in the basin.

• Korean Journal of Psychosomatic Medicine
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• v.8 no.1
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• pp.20-30
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• 2000

Objective : This study was designed to investigate the frequencies and the relation of stressful life events and health problems and evaluate the influence of stressful life events on the physical symptoms and anxiety in adolescents. Method : Newcomb's 39-item life-event questionnaire and Newcomb's 19-item health problems questionnaire were administered to 475 adolescents. The frequencies of stressful life events and health problems which had actually occurred to them during the previous 12 months were investigated. Items of stressful life events were classified in 8 dimensional scaling factors(Family/parents, Accident/Illness, Sexuality, Autonomy, Deviance, Relocation, Distress, Items not in scales) and items of health problems were classified in 5 health problems(General, Heart and Lung, Nervous system, Anxiety, Psychosomatic symptoms) and the correlation between them was analyzed. Result : 1) The average number of events occurring during the past year for the 475 adolescents is 3(7.7%). The most frequent item of stressful life events was 'Thought about suicide' and dimensional factors of "Distress" and "Autonomy" were the most frequent life events in multidimensional sacling analysis. There were more factors of "Family/Illness" and " Autonomy" in male, while there was more factor of "Distress" in female. There were more factors of "School violence" and "Deviance" in younger students, while there were more factors of "Sexuality" and "Autonomy" in older students. 2) The most frequent item of health problem was 'excessive fatigue' and "anxiety" was most frequent health problem in multidimensional scaling analysis. There were more health problems in female than those in male. The higher grades the students became, the more health problems they have reported. 3) There was significant relationship between 7 factors of stressful life events except one factor of "Relocation" and 5 health problems. Conclusions : These findings suggest that as adolescents grow older, they are engaging in more controllable behaviors related to autonomy and sexuality and at the same time are experiencing increased difficulty with distressful or discomforting events, and their stressful life events are significantly related to decreased health and psychological functiong.

• The Journal of Korean Academy of Prosthodontics
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• v.47 no.4
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• pp.394-405
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• 2009

Statement of problem: Crestal bone loss, a common problem associated with dental implant, has been attributed to excessive bone stresses. Design of implant's transgingival (TG) part may affect the crestal bone stresses. Purpose: To investigate if concavely designed geometry at a dental implant's TG part reduces peri-implant bone stresses. Material and methods: A total of five differently configured TG parts were compared. Base model was the ITI one piece implant (Straumann, Waldenburg, Switzerland) characterized by straight TG part. Other 4 experimental models, i.e. Model-1 to Model-4, were designed to have concave TG part. Finite element analyses were carried out using an axisymmetric assumption. A vertical load of 50 N or an oblique load of 50 N acting at $30^{\circ}$ with the implant's long axis was applied. For a systematic stress comparison, a total of 19 reference points were defined on nodal points around the implant. The peak crestal bone stress acting at the intersection of implant and crestal bone was estimated using regression analysis from the stress results obtained at 5 reference points defined along the mid plane of the crestal bone. Results: Base Model with straight configuration at the transgingival part created highest stresses on the crestal bone. Stress level was reduced when concavity was imposed. The greater the concavity and the closer the concavity to the crestal bone level, the less the crestal stresses. Conclusion: The transgingival part of dental implant affect the crestal bone stress. And that concavely designed one may be used to reduce bone stress.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.37 no.1
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• pp.203-215
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• 2017

Recently, interest in Pedestrian Navigation Service (PNS) is being increased due to the diffusion of smart phone and the improvement of location determination technology and it is efficient to use landmarks in route guidance for pedestrians due to the characteristics of pedestrians' movement and success rate of path finding. Accordingly, researches on extracting landmarks have been progressed. However, preceding researches have a limit that they only considered the difference between buildings and did not consider visual attention of maps in display of PNS. This study improves this problem by defining building attributes as local variable and global variable. Local variables reflect the saliency of buildings by representing the difference between buildings and global variables reflects the visual attention by representing the inherent characteristics of buildings. Also, this study considers the connectivity of network and solves the overlapping problem of landmark candidate groups by network voronoi diagram. To extract landmarks, we defined building attribute data based on preceding researches. Next, we selected a choice point for pedestrians in pedestrian network data, and determined landmark candidate groups at each choice point. Building attribute data were calculated in the extracted landmark candidate groups and finally landmarks were extracted by principal component analysis. We applied the proposed method to a part of Gwanak-gu, Seoul and this study evaluated the extracted landmarks by making a comparison with labels and landmarks used by portal sites such as the NAVER and the DAUM. In conclusion, 132 landmarks (60.3%) among 219 landmarks of the NAVER and the DAUM were extracted by the proposed method and we confirmed that 228 landmarks which there are not labels or landmarks in the NAVER and the DAUM were helpful to determine a change of direction in path finding of local level.