• Journal of Yeungnam Medical Science
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• v.2 no.1
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• pp.149-159
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• 1985

The authors studied Psychoticism, using SCL-90, in the subjects of 3,893 male college students and 1,976 female college students of Yeung Nam University, collecting data during the periods from October to November, 1984. The results could be summarized as follows: 1. There was significant difference in the mean averages of total psychoticism scores between male and female students; male students scored $6.81{\pm}5.13$ female students scored $8.14{\pm}5.05$. 2. Eighty eight male students (2.4%) showed seriously high psychoticism scores of 20 or higher, while 63 female students (3.2%) showed the same scores. 3. In a comparison between male students in different school grades, freshmen showed the highest level of psychoticism scores, and as the grades of students became higher, the levels of psychoticism scores were lower. 4. Among the psychosocial factors, there were strong tendencies toward higher psychoticism scores in the students who were dissatisfied with their college, and hsd pessimistic views of self image in the past, present or future, in both groups. 5. The male students whose educational fees were paid by their parents, and whose spending money per month was under 10,000won, showed higher level of psychoticism scores. 6. The female students whose maturation locations were city, who were dissatisfied with their departments, who resided in dormitory of other residencies, and whose educational fees were paid by their brothers or sisters, showed higher level of psychoticism scores. 7. The items relating to 5(Feeling lonely with people) 9 (Never feeling close to another) 10 (Idea something with mind) in psychoticism and the item of depressed affect in SDS were significantly correlated over 0.40 of correlation coefficient.

• Journal of Internet Computing and Services
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• v.17 no.3
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• pp.75-85
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• 2016

Changes in the distribution and sharing information using the Internet is changing the most part in our daily life, Utilizing the Internet of our lives to the rapid development of IT technology, are living in the off-line (off-line) and online (on-line) a mix of life, We expect now online life specific gravity is further increased. However, do not systematically implement the education of Internet ethics awareness deficiencies of objective indicators to assess the current knowledge level of the Internet ethics is the actual situation. Therefore, in this paper, it provides a development process in order to establish a common standard for the evaluation of Internet ethics index. Development procedure of Internet ethics index in order to establish a common standard, "evaluation item (draft) derivation", "Creating a questionnaire", "the calculation of the analysis and item-by-item weight of the questionnaire", and a common reference determination of the stage having. Was also a questionnaire that target 46 people to calculate the weight of the common reference. Internet ethics index evaluation model through the establishment of the common standards developed in this paper, municipal road Office of Education, related organizations, high school, such as small, medium, can be utilized as an indicator to measure the Internet ethics education level.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.289-289
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• 2022

최근 기후변화의 영향으로 인해 가뭄과 같은 자연재해의 발생빈도가 증가하고 있다. 가뭄은 지속 기간이 길고 정량적인 피해 규모 및 심도 파악이 어려우며, 사회, 경제적 피해와 함께 농업 시스템 전반에 심각한 영향을 줄 수 있는 재해이다. 국내 가뭄 발생 경향은 2000년 이후 급증하고 있으며, 2015년 및 2017년의 경우 이례적인 극심한 가뭄이 발생하는 등 2000년 이전과는 다른 경향을 보이고 있다. 따라서, 미래 기후변화에 따른 국내 가뭄 발생에 대비하기 위해서는 장기적인 가뭄 전망이 요구된다. CMIP6 (Coupled Model Intercomparison Project 6)에 의해 개발된 공통사회경제경로 SSP (Shared Socio-economic Pathways) 시나리오는 사회 및 경제적 요소를 내포하여 미래의 완화 및 적응 기반 기후변화 시나리오로 정의된다. 본 연구에서는 SSP 시나리오를 활용하여 미래 강수자료를 구축하여 기상학적 가뭄지수, SPI (Standaridzed Precipitation Index)를 산정하고 가뭄 특성을 분석하고자 한다. 강수자료의 경우 국내 ASOS (Automated Synoptic Observing System) 기상관측소 기준 56개소를 대상으로 1973년부터 2021년까지 49개년 자료를 수집하였으며, SSP 시나리오와 SPI를 활용하여 국내 지역을 대상으로 미래 기후변화에 따른 가뭄 전망을 수행하고자 한다. SPI는 시간척도에 따라 3개월, 6개월, 9개월, 12개월 시간척도를 적용하고, SSP 시나리오의 경우 SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5 시나리오를 적용하여 미래 기후변화 시나리오별 가뭄을 분석하고자 한다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.5C
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• pp.371-377
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• 2008

In this paper, we present a framework for vision-based two-arm gesture recognition. To capture the motion information of the hands, we perform color-based tracking algorithm using adaptive kernel for each frame. And a feature selection algorithm is performed to classify the motion information into four different phrases. By using gesture phrase information, we build a gesture model which consists of a probability of the symbols and a symbol sequence which is learned from the longest common subsequence. Finally, we present a similarity measurement for two-arm gesture recognition by using the proposed gesture models. In the experimental results, we show the efficiency of the proposed feature selection method, and the simplicity and the robustness of the recognition algorithm.

• Korean Journal of Culture and Social Issue
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• v.13 no.3
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• pp.23-63
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• 2007

The purpose of this study is to develop and verify the Relational Self Scale(RSS). Based on the theoretical assumptions which relational self is multi-dimensional and constructed in social contexts, 10 categories with 102 items were yielded. In the process of content analysis, item analysis, exploratory factor analysis and correlation analysis by administering 102 items to korean adults, 31 items with 7 factors are extracted. The 7 factors are consisted of 'avoidance of relation', 'consciousness of others', 'agency', 'instrumental relation', 'empathy-care', 'perceived support from relation' and 'over-dependency to relation'. Next, Confirmatory factor analysis was conducted with 649 korean adults aged from 20's to 60's. The results of confirmatory factor analysis showed the RSS as a valid scale. The 7 factors of the RSS fitted well with men and women. The internal consistency of the RSS was proved to be acceptable. The latent mean analysis indicated that the relational self was not significantly different between men and women at 7 factors. Correlation analysis showed that the construct of relational self was significantly related to relational self-construal, self-esteem and attachment to parent and intimacy person. This study has implication in that relational self is defined and assessed as multi-dimensional construct, and that by administering RSS it is possible to evaluate distinctive korean people's relational self.

• Journal of Korean Society of Transportation
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• v.29 no.3
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• pp.123-137
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• 2011

In general, flow propagation has been explained using the shock wave theory which is expressed as a function of variations in volume and density. However, the theory has certain limitation in portraying heterogeneous flow, e.g., flow propagation between lanes. Motivated by this fact, this study seeks a new measure for analyzing the propagation characteristics of traffic flow at three sections of highway (i.e., merging area, weaving section, and basic section) from temporal and spatial perspectives, and then develops a model for estimating the measure for the flow propagation. The "shock wave speed" which is the measure widely adopted in literature, was first applied to describe the propagation characteristics, but it was hard to find distinct characteristics in the propagation. This finding inspires to develop a new measure named "Impulse Volume". It is shown that the measure better explains the propagation characteristics at the three study sections of highway. In addition, several models are also developed by performing multi-regression analyses to explain the flow propagation between lanes. The models proposed in this paper can be distinguished in three sections and the lane placement.

• The Journal of Information Technology
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• v.2 no.2
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• pp.1-12
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• 1999

The purpose of this study is to classify the determinants of channel performance and to reveal the contribution of classified performance factor on the total distribution performance of individual channel members. The empirical results of this study confirm that channel member performance is too rich and complex to be accurately reflected in a single item or even limited domain performance measures. The respondents in our sample monitored a lot of different facets of performance, indicating their belief in the multidimensional nature of performance. Our finding that outcome-based monitoring was particularly pervasive was not surprising given that managerial attention to end results is expected since those results are necessary for continued survival of the dealership. However, the dealership owner were not content to rely exclusively on these outcome performance indicators. They also gathered information on the efforts and activities that lead to those outcomes as well as other facets of information such as customer satisfaction and selling skills of salesperson. Limiting the definition and measurement of performance to outcomes only, or to a single item measure would have failed to capture important facets of performance, and could distort he relationship between the managerial variables and performance.

• Science of Emotion and Sensibility
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• v.8 no.3
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• pp.303-312
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• 2005

The goal of this study is to deepen the understanding of robot business and application, and examine the relationships and development trends of robot evaluation scales. Through interactive mapping, 113 types of robot data samples were realized to be placed on seven evaluation scales and reference on specific information of each items were allowed. Also, by examining the robot development trends among different countries through interactive mapping, the trends could be largely divided into American, European, Japanese, and Korean. Throughout various parts of the evaluation scale, American and European views were found to consider robots mainly as tools. On the other hand, Japanese and Korean views considered robots as a 'partner' or 'neighbour' and were working to satisfy these aspects.

• Journal of the Korea Society of Computer and Information
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• v.26 no.5
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• pp.47-53
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• 2021

Sparse ratings data hinder reliable similarity computation between users, which degrades the performance of memory-based collaborative filtering techniques for recommender systems. Many works in the literature have been developed for solving this data sparsity problem, where the most simple and representative ones are the methods of utilizing Jaccard index. This index reflects the number of commonly rated items between two users and is mostly integrated into traditional similarity measures to compute similarity more accurately between the users. However, such integration is very straightforward with no consideration of the degree of data sparsity. This study suggests a novel idea of applying different similarity measures depending on the numeric value of Jaccard index between two users. Performance experiments are conducted to obtain optimal values of the parameters used by the proposed method and evaluate it in comparison with other relevant methods. As a result, the proposed demonstrates the best and comparable performance in prediction and recommendation accuracies.

• Journal of the Korea Society of Computer and Information
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• v.27 no.1
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• pp.83-89
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• 2022

As a representative technique of recommender systems, collaborative filtering has been successfully in service through many commercial and academic systems. This technique recommends items highly rated by similar neighbor users, based on similarity of ratings on common items rated by two users. Recently research on time-aware recommender systems has been conducted, which attempts to improve system performance by reflecting user rating time of items. However, the decay rate uniform to past ratings has a risk of lowering the rating prediction performance of the system. This study proposes a rating time-aware similarity measure between users, which is a novel approach different from previous ones. The proposed approach considers changes of similarity value over time, not item rating time. In order to evaluate performance of the proposed method, experiments using various parameter values and types of time change functions are conducted, resulting in improving prediction accuracy of existing traditional similarity measures significantly.