• Journal of Forest and Environmental Science
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• v.36 no.3
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• pp.187-198
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• 2020

This study extracted deforestation area and degraded forestland area, which are potential REDD+ (Reducing Emissions from Deforestation and Forest Degradation) project candidate areas in Paraguay using Land Cover Map (LCM) and Tree Cover Map (TCM). The REDD+ project objectives scenarios were set three stages: 'afforestation and economic efficiency scenario', 'local capacity reinforcement scenario', and 'Infrastructure-oriented scenario'. And then, we evaluated the project unit suitable area of the REDD+ project. All scenarios selected the evaluation factors for each scenario in addition to the area ratio factors for deforestation area and degraded forestland area and weighted values were extracted by assigning category scores. As a result of the three scenarios comparison analysis, Concepcion state score was the highest. Within Concepcion state, the Belon district had the highest score, making it appropriate as a project unit REDD+ project candidate area in Paraguay, while the San Carlos district had the lowest score. This study can be used as basic data for selecting REDD+ project candidate area in Paraguay, and it is expected to contribute sufficiently to REDD+ project if additional data or information of social, cultural and economic sectors are secured.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.12
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• pp.6009-6027
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• 2019

Support vector machine (SVM) classifiers have been widely used for object detection. These methods usually locate the object by finding the region with maximal score in an image. With bag-of-features representation, the SVM score of an image region can be written as the sum of its inside feature-weights. As a result, the searching process can be executed efficiently by using strategies such as branch-and-bound. However, the feature-weight derived by optimizing region classification cannot really reveal the category knowledge of a feature-point, which could cause bad localization. In this paper, we represent a region in an image by a collection of local feature-points and determine the object by the region with the maximum posterior probability of belonging to the object class. Based on the Bayes' theorem and Naive-Bayes assumptions, the posterior probability is reformulated as the sum of feature-scores. The feature-score is manifested in the form of the logarithm of a probability ratio. Instead of estimating the numerator and denominator probabilities separately, we readily employ the density ratio estimation techniques directly, and overcome the above limitation. Experiments on a car dataset and PASCAL VOC 2007 dataset validated the effectiveness of our method compared to the baselines. In addition, the performance can be further improved by taking advantage of the recently developed deep convolutional neural network features.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.1
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• pp.343-346
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• 2012

Two methods of identifying smokers with high nicotine dependence, the heaviness of smoking index (HSI) and number of cigarettes per day (CPD) were compared with the Fagerstrom test for nicotine dependence (FTND). The HSI, CPD and the FTND were administered to 316 adult Malaysian male, daily smokers aged between 25-64 years old in the Malaysian NCD Surveillance-1 Survey using a two-stage stratified random sampling of enumeration blocks and living quarters, via an interview based on a validated questionnaire. The cut-off point for classification of high nicotine dependence on the HSI was a score of four or higher, and for the heavy smoking category, smoking more than 20 cigarettes per day. Classification using each method was compared with classification by the FTND (score of six or more) as the reference standard. Sensitivity, specificity and kappa statistics for concordance between both measures and the FTND were evaluated. The HSI gave a similar prevalence rate of high nicotine dependence as the FTND. There was substantial agreement between the HSI and the FTND (kappa=0.63.), with moderate sensitivity (69.8%) and high specificity (92.5%). However, prevalence of high nicotine dependence using the CPD was 7% lower than the FTND. The heavy smoking category also showed fair agreement with the FTND (kappa=0.45) and moderate sensitivity (67.0%), but specificity was high (86.9%). The findings indicate that the HSI can be used as an alternative to the FTND in screening for high nicotine dependence among daily smokers in large population-based studies, while CPD may not be a suitable alternative to the FTND.

• Journal of Forest and Environmental Science
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• v.36 no.1
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• pp.47-54
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• 2020

A "Scenic Site" is an official heritage category legally defined as a "scenic site of outstanding artistic value with excellent scenic views." However, the subjective interpretation of the term causes several problems. This study suggested a systematic, organized process of designating a listed area as a scenic site after careful and detailed quantitative and qualitative analysis. Indicators were identified for each of the two analyses, and then scored and weighted. Quantitative indicators were distributed within 5 points for each indicator. Water, which is a natural indicator, based on distance from river boundaries. Forest landscapes were assigned in consideration of forest physiognomy and age class. Land use was allocated in consideration of land cover type and, in case of development site, '-' score was assigned. Cultural heritage conservation area, which is historical and cultural indicator, was distributed by distance within a maximum of 500 meters. Visibility, an indicator of landscape value, was assigned according to the frequency of visibility. The weight of each indicator was calculated by considering the value of each item. The weight of distribution of cultural resources is relatively high, while other items were set the same. In case of land use, however, '-' score was given according to the grade. Qualitative indicators, on the other hand, were considered terrain, landscape zone, ownership, intellectual boundary, and land category. The applicability of the proposed process and method was examined by applying the existing methods and criteria used for designating scenic spots. Opinions of subject-matter experts were incorporated in the identification of the indicators and in the result review stage. In the future, it is necessary to apply this method while designating scenic sites so as to establish an objective, scientific designation process.

• Child Health Nursing Research
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• v.6 no.2
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• pp.262-273
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• 2000

The goal of this study was to develop a method to measure the degree of hope of mothers whom their children have cancer. Data collection was held on 144 mothers who had their children diagnosed as cancer, and were treated in C hospital and S hospital located in Seoul. The data was collected from January to August of the year 1999, and collected data was then computerized for T-test, factor analysis and ANOVA. The results are as follows: 1) The measurement method used to measure the degree of hope was divided into 7 categories and composed of 35 questions in total. The level of confidence was 0.90. The 7 categories were named 'gaining insight into life', 'realizing oneself's own role in life', 'attempting a change in life', 'taking in destiny', 'having trust in the treatment being held out by the medical faculty', 'recognizing or escaping from reality' 'obtaining support from religion' respectively. 2) The average score of mothers with cancer children was 3.22. The 6th category 'recognizing or escaping from reality', had the highest score and the 1st category of 'gaining insight into life' the lowest. 3) The degree of hope did not have any differences according to the general characteristics of the children with cancer and the characteristics of the disease. However there was a difference following the characteristics of the mothers with cancer children. Mothers with jobs tend to have scored higher compared with mothers without any occupation.

• The Journal of Korean Academic Society of Nursing Education
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• v.15 no.2
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• pp.216-224
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• 2009

Purpose: This study was to describe the perception of biomedical ethics in 210 nurses working at a hospital in Busan. Method: Data were collected from September 1st to 9th, 2008 using a 4-point Likert scale which was designed by Kwon. Results: The average score of perception of biomedical ethics was $2.88{\pm}0.22$. The highest score, $3.13{\pm}0.35$, was seen in the category of the ethics for right to life, the lowest, $2.49{\pm}0.33$, was seen in the category of ethics of death. There was no significant difference in perception of biomedical ethics according to marital status, participation in religious activity or career length. There was a significant difference in reproductive ethics according to marital status (F=3.559, p= .001) and participation in religious activity (F=3.914, p= .011). There was a significant difference in ethics of death according to career length (F=3.779, p= .011). Statistically significant differences were shown in ethics for right to life according to the ethical values (F=4.421, p= .005) and attendance of a conference for biomedical ethics (F=4.133, p= .018). The difference of the perception of biomedical ethics was significant in ethical values (F=3.859, p= .010) and attendance of a conference for biomedical ethics (F=3.783, p= .025). Conclusion: Continuing educational programs need to be developed and more reinforced education should be offered.

• The Korean Journal of Applied Statistics
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• v.34 no.5
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• pp.711-721
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• 2021

In this paper, we propose the method of adjusting thresholds using impurity indices in classification analysis on imbalanced data. Suppose the minority category is Positive and the majority category is Negative for the imbalanced binomial data. When categories are determined based on the commonly used 0.5 basis, the specificity tends to be high in unbalanced data while the sensitivity is relatively low. Increasing sensitivity is important when proper classification of objects in minority categories is relatively important. We explore how to increase sensitivity through adjusting thresholds. Existing studies have adjusted thresholds based on measures such as G-Mean and F1-score, but in this paper, we propose a method to select optimal thresholds using the chi-square statistic of CHAID, the Gini index of CART, and the entropy of C4.5. We also introduce how to get a possible unique value when multiple optimal thresholds are obtained. Empirical analysis shows what improvements have been made compared to the results based on 0.5 through classification performance metrics.

• Journal of Korean Society of Transportation
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• v.28 no.4
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• pp.141-156
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• 2010

In this paper, understanding there is a limitation with a comprehensive and network approach for the evaluation of existing vehicle and pedestrian environments, the authors focus on developing an integrated approach to assessing these environments. The network evaluation here means the assessment at a three-dimensional level that includes evaluation methods of lines/axes in a spatial concept as well as integration of evaluation indicators being used for vehicles and the walking environment. Grey System Theory (GST) was applied based on the theoretical background for network and comprehensive integrated evaluation, and the evaluation of the vehicle and pedestrian environment was performed by assigning target areas to walking preference zones. As a result of the comprehensive evaluation and analysis by GST, even if the service level is the same as the operating indicators (Highway Capacity Manual) of the vehicle and pedestrian environment, or relatively better, it was identified that the total score could be varied over Grey Category because the observed data are calculated after considering the weights between evaluation indicators by the range of Grey Category on the comprehensive evaluation. Considering comprehensively these points, although the indicators on the operation of roads are relatively good, in the event that the indicators on the safety of roads are bad, it was known that the scores over Grey Category also could be changed. The result is that this evaluation method can be used to evaluate the network concept per lane (per axis) as well as to diagnose the current state by type of urban street in the future.

• Journal of Digital Convergence
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• v.12 no.6
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• pp.277-287
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• 2014

In LBSNS(Location-based Social Network Service), users can share locations and communicate with others by using check-in data. The check-in data consists of POI name, category, coordinate and address of locations, nickname of users, evaluating grade of locations, related article/photo/video, and etc. If you analyze the check-in data from the location-based social network service in accordance with your situation, you can provide various customized services. Therefore, In this paper, we develop a location recommendation system based on LBSNS that can utilize the check-in data efficiently. This system analyzes the location category of the check-in data, determines the weighted value of it, and finds out the similarity between users by using the Pearson correlation coefficient. Also, it obtains the preference score of recommended locations by using the collaborated filtering algorithm and then, finds out the distance score by applying the Euclidean's algorithm to the recommended locations and the current users' locations. Finally, it recommends appropriate locations by applying the weighted value to the preference score and the distance score. In addition, this paper approved excellence of the proposed system throughout the experiment using real data.

• The Journal of the Korea Contents Association
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• v.13 no.9
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• pp.295-304
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• 2013

This study aims to examine the level of fear and the influential factors affecting their dental fear and to utilize the result as the basic materials in the dental management. The subjects were the students from a middle school located in Cheongju-City. The school was selected by convenient sampling and self-answered questionnaire was filled in by the students for a week from December 19th 2011. The survey result showed that 77 male students and 169 female students(total 246 students) answered 'yes' to the question 'Have you ever felt fear when you visited a dentist?' among 475 students who had visited a dentist in the past. The distribution of responses in each category of fear was examined by frequency analysis. The study results showed significant difference in the item of 'causing irritation during the dental treatments' between male students and female students (p<0.05). Converting the level of fear into scores after marking the answers, the score of male students was 52.0 points and the score of female students was 58.53 showing the score of female students was significantly higher in statistics. Moreover, the fear score of female students for the category 'causing irritation during the dental treatments' was also significantly higher in statistics(p<0.05). Therefore, these results should be reflected to the dental care environments in order for the adolescent to reduce the dental anxiety and fear.