• Korean Journal of Psychosomatic Medicine
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• v.13 no.1
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• pp.32-40
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• 2005

Objectives : This study looked at the symptoms of alexithymia in schizophrenia and their association with clinical variables and schizophrenic symptomatology. Methods Consecutive fifty eight inpatients with DSM-IV diagnoses of schizophrenia completed 26item version of Toronto Alexithymia Scale (TAS), Symptom Checklist-90-Revised(SCL-90-R), and Positive and Negative Syndrome Scale(PANSS). Results : Authors did not find any correlation between scores of PANSS and TAS. However, all the subscale scores of SCL-90-R were significantly correlated with total score of TAS. Also, 'difficulty identifying and deistinguishing between feelings and bodily sensations' and 'difficulty describing feelings' significantly correlated with SCL-90-R subscale scores. 'Reduced daydreaming' had mixed findings and 'externally oriented thinking' did not correlate. Multiple regression model included Global Severity Index of SCL-90-R accounting 28.2% of variance for TAS scores. Conclusion : These findings together with discrepancy in results between objective and subjective tests suggest that alexithymia in schizophrenia may have two constructs, 'difficulty to describe and communicate feelings(state)' and 'externally oriented thinking(trait)' Authors suggest further study needs to confirm construct validity of TAS in this population.

• Proceedings of the Korea Water Resources Association Conference
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• 2007.05a
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• pp.2089-2093
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• 2007

저수지군 연계운영 문제는 서로 상충되는 목적들이 존재하고, 다양한 평가 기준들이 존재하는 다목적 특성을 갖는 문제이다. 때문에 저수지군 연계운영 문제에 다중목적계획법이 많이 사용되고 있으나 문제의 해결을 위해 사용한 다수의 목적간의 가중치 설정에 의사결정자의 주관적요소가 반영 될 수도 있고, 설정된 가중치에 따라 결과 값이 민감하게 반응하여 의사결정자가 바람직한 가중치 설정에 어려움이 있다. 본 연구의 목적은 다중 목적 특성이 존재하는 저수지군 연계운영 문제에 다요소 의사결정기법 적용하여 바람직한 저수지별 저수 가중치를 선정하는 방법을 제안하는 것이다. 제안하는 저수 가중치 선정 절차는, 우선 GA-CoMOM (Genetic-Algorithm Coordinate Multi-reservoir Operation Model)을 통해 수계 전체 관점에서 저수량과 발전량의 상충되는 목적에 대한 파레토 최적해와 각 최적해에 해당하는 저수지별 저수 가중치를 도출한다. 다음 단계로 다요소 의사결정기법중에 하나인 수정된 거리척도 기반의 DEA 순위 선정 절차를 이용하여 도출된 최적해들의 운영 결과를 평가하여 파레토 최적해군 중에 선호해를 결정하고, 결정된 선호해의 저수지별 저수 가중치를 해당 기간의 저수 가중치로 선정한다. 설명한 선호 가중치 선정 절차를 금강 수계에 적용해 보고 저수지 연계운영에서 바람직한 가중치를 도출할 수 있음을 보인다.

• Journal of the Institute of Convergence Signal Processing
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• v.3 no.2
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• pp.23-29
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• 2002

In this paper we proposed the user identification system using hybrid biometric information and non-contact IC card to improve the accuracy of the system. The hybrid biometric information consists of the face image, the iris image, and the 4-digit voice password of user. And the non-contact IC card provides the base information of user If the distance between the sample hybrid biometric Information corresponding to the base information of user and the measured biometric information is less than the given threshold value, the identification is accepted. Otherwise it is rejected. Through the result of experimentation, this paper shows that the proposed method has better identification rate than the conventional identification method.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.1C
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• pp.1-5
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• 2008

Optical code division multiple access(OCDMA) systems make the active users to share the bandwidth by simply assigning distinct optical orthogonal codeword to each active user. An optical orthogonal code(OOC) is a collection of binary sequences with good correlation properties which are important factors of determining the capacity of OCDMA systems. Recently, 2-D OOC construction method is frequently researched which is able to support more users than 1-D OOC. In this paper, a combinatorial construction of simple multi-weight 2-D OOC with autocorrelation 0 and crosscorrelation 1 is proposed and the bound on the size of these codes is derived.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.24 no.7B
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• pp.1239-1251
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• 1999

In this paper a scalable QoS-based hierarchical inter-domain routing scheme for distributed multimedia applications in a high speed wide area network. The problem of QoS-based routing is formulated as a multicriteria shortest path problem, known as NP-complete[21,30]. Our routing scheme consists of two phases. In Phase 1, two graph construction algorithms are performed to model the network under consideration as a graph. The graph contains a part of the network topology which is completely neglected or partially considered by existing routing schemes, thus maintaining more accurate topology information. In Phase 2, a heuristic call-by-call algorithm is performed for selecting a feasible path efficiently in depth first search-like manner on the graph and tailoring to each application's QoS requirements, beginning at a vertex that represents the source node. In this paper, a simple rule is also produced, by which the visiting order of outgoing edges at each vertex on the graph is determined. The rule is based on each edge's the minimum normalized slackness to the QoS requested. The proposed routing scheme extends the PNNI-type hierarchical routing framework. Note that our routing scheme is one of a few QoS-based hierarchical routing schemes that address explicitly the issue of selecting a path with multiple metrics.

• Science of Emotion and Sensibility
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• v.21 no.1
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• pp.177-186
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• 2018

The mechanism of emotion is complex and influenced by a variety of factors, so that it is crucial to analyze emotion in broad and diversified perspectives. In this study, we classified neutral and negative emotions(sadness, fear, surprise) using arousal evaluation, which is one of the psychological evaluation scales, as well as physiological signals. We have not only revealed the difference between physiological signals coupled to the emotions, but also assessed how accurate these emotions can be classified by our emotional recognizer based on neural network algorithm. A total of 146 participants(mean age $20.1{\pm}4.0$, male 41%) were emotionally stimulated while their physiological signals of the electrocardiogram, blood flow, and dermal activity were recorded. In addition, the participants evaluated their psychological states on the emotional rating scale in response to the emotional stimuli. Heart rate(HR), standard deviation(SDNN), blood flow(BVP), pulse wave transmission time(PTT), skin conduction level(SCL) and skin conduction response(SCR) were calculated before and after the emotional stimulation. As a result, the difference between physiological responses was verified corresponding to the emotions, and the highest emotion classification performance of 86.9% was obtained using the combined analysis of arousal and physiological features. This study suggests that negative emotion can be categorized by psychological and physiological evaluation along with the application of machine learning algorithm, which can contribute to the science and technology of detecting human emotion.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.14 no.1
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• pp.95-102
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• 2003

Objectives：This study was aimed at examining the emotional predictors of adolescent suicidal ideas in a community. Methods：The subjects were 1909 middle and high school students(936 males, 973 females) in Koyang-shi. We evaluated all subjects using Center for Epidemiologic Study for Depression(CES-D), Revised Children's Manifest Anxiety Scale(RCMAS), Korean-Youth Self Report(K-YSR), Psychological Self-1 of Offer's Self Image Questionnaire(PS-1 of OSIQ) and Suicide Ideation Questionnaire (SIQ). We compared the PS-1 of OSIQ scores of Anxious-depressive group(above cut-off points of CES-D, RCMAS and K-YSR) to those of control group, and conducted correlation analysis and stepwise multiple regression analysis to all subjects. Results：The number of anxious-depressive group was 126(6.58%) among 1909 subjects with significant gender difference(M：F ratio 1：1.5). Both PS-1 of OSIQ and SIQ scores were significantly higher in Anxious-depressive group than in control group. There were significant correlations among the scales：CES-D, RCMAS, A/D of K-YSR, PS-1 of OSIQ and SIQ. Through stepwise multiple regression analysis, we found that significant predictors of suicidal idea were CES-D, RCMAS and A/D of K-YSR. Conclusion：Anxious-depressive adolescents may be the high-risk group for suicidality and need preventive interventions of suicidality in a community.

• 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 KIISE:Software and Applications
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• v.30 no.3_4
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• pp.339-346
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• 2003

This paper proposes a multiple classifier system having massive micro classifiers. The micro classifiers are trained by using a local set of training patterns. The k nearest neighboring training patterns of one training pattern comprise the local region for training a micro classifier. Each training pattern is incorporated with one or more micro classifiers. Two types of micro classifiers are adapted in this paper. SVM with linear kernel and SVM with RBF kernel. Classification is done by selecting the best micro classifier among the micro classifiers in vicinity of incoming test pattern. To measure the goodness of each micro classifier, the weighted sum of correctly classified training patterns in vicinity of the test pattern is used. Experiments have been done on Elena database. Results show that the proposed method gives better classification accuracy than any conventional classifiers like SVM, k-NN and the conventional classifier combination/selection scheme.

• Journal of the Korea Society of Computer and Information
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• v.17 no.6
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• pp.57-66
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• 2012

LTE-Advanced network will form the high-speed IP backbone in collaboration with heterogeneous radio access networks for dynamic optimized resource utilization. In order to implement more innovative and attractive services such as U-Cloud streaming, LBS and mobile smart TV, a mobile terminal needs to support multiple sessions simultaneously. Efficient resource allocation schemes are necessary to maintain QoS of multiple sessions because service continuity may be defected by delay and information loss during handover. This paper proposes a resource allocation scheme to accommodate multiple sessions in a mobile terminal on handover period based on session priority mechanism. Simulation is focused on the forced termination probability of handover sessions. Simulation results show that our proposed method provides a better performance than the conventional method.