• Korean Security Journal
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• no.33
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• pp.51-80
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• 2012

This study is to summarize main contents which was mentioned by Beomseok Kim' doctoral dissertation. The purpose of this study focuses on presenting the outplacement countermeasure and retention level examination analysis about outplacement competency of special security government official through implement of questionnaire method. The questionnaire for retention level examination including four groups of outplacement competency and twenty subcategories was implemented in the object of six hundered persons relevant to outplacement more than forty age and five grade administration official of special security government officials, who have outplacement experiences as outplacement successors, outplacement losers, and outplacement expectants, in order to achieve this research purpose effectively. The questionnaire examination items are four groups of outplacement competency and twenty subcategories which are the group of knowledge competency & four subcategories including expert knowledge, outplacement knowledge, self comprehension, and organization comprehension, the group of skill competency & nine subcategories including job skill competency, job performance skill, problem-solving skill, reforming skill, communication skill, organization management skill, crisis management skill, career development skill, and human network application skill, the group of attitude-emotion competency & seven subcategories including positive attitude, active attitude, responsibility, professionalism, devoting-sacrificing attitude, affinity, and self-controlling ability, and the group of value-ethics competency & two subcategories including ethical consciousness and morality. The respondents highly regard twenty-two outplacement competency and they consider themselves well-qualified for the subcategories valued over 4.0 such as the professional knowledge, active attitude, responsibility, ethics and morality while they mark the other subcategories below average still need to be improved. Thus, the following is suggestions for successful outplacement. First, individual effort is essential to strengthen their capabilities based on accurate self evaluation, for which the awareness and concept need to be redefined to help them face up to the reality by readjusting career goal to a realistic level. Second, active career development plan to improve shortcoming in terms of outplacement competency is required. Third, it is necessary to establish the infrastructure related to outplacement training such as ON-OFF Line training system and facilities for learning to reinforce user-oriented outplacement training as a regular training course before during after the retirement.

• Korean Journal of Psychosomatic Medicine
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• v.7 no.2
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• pp.203-212
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• 1999

Objectives : "Alexithymia" mean literally "no word for mood(or emotion)". It is not only a marked constriction in emotional functioning but a deficit in their cognitive processing. We designed this study to investigate the level of alexithymia, psychopathology and personality factors of patients with somatoform disorder and with diabetes mellitus. Methods : The subjects were consisted of patients with somatoform disorder(N=20), patients with diabetes mellitus(N=20), and normal control(N=20). The level of alexithymia, psychopathology and personality factors were assessed by the Toronto Alexithymia Scale(TAS), the Symptom Checklist 90-Revision(SCL 90-R), and the Sixteen Personality Factor Questionnaire(16-PF). And we compared demographic characteristics, psychopathology and personality factors among three groups, and assessed the relationship between alexithymia and psychopathology, and between alexithymia and personality factors. Results : The results were as follows. 1) Patients with somatoform disorder showed significantly higher TAS scores compared to patients with diabetes mellitus and the normal control group. 2) Patients With somatoform disorder showed significantly higher scores of somatization, anxiety scales than patients with diabetes mellitus and the normal control group, and showed significantly higher scores of obsessive-compulsive, depression, phobic anxiety, psychoticism scales than the normal control group by the SCL-90-R. 3) The normal control group showed high intelligence scores only as compared to patients with somatoform disorder by the 16-PF. 4) A significant relationship was found between TAS scores and psychopathology in patients with somatoform disorder. 5) All three groups did not shown any correlation between TAS and 16-PF. Conclusion : Patients with somatoform disorder showed higher TAS scores and more multiple psychopathology than patients with diabetes mellitus and the normal controls. A significant relationship was found between TAS scores and psychopathology in patients with somatoform disorder. We suggest that the therapeutic approach to patients with somatoform disorder to express emotions and manage psychopathology, and that the treatment methods of patients with diabetes mellitus aims to improve firstly physical conditions are more helpful.

• The Journal of Korean Academy of Sensory Integration
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• v.18 no.3
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• pp.14-26
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• 2020

Objective : The purpose of this study was to investigate the effect of therapeutic listening on task performance, auditory behavior problems, and attention in children with sensory modulation disorder. Methods : Sixteen children aged four to seven years who were classified as children with sensory modulation disorder were randomly assigned to either the experimental group (n = 8) or the control group (n = 8). From July 1 to October 18, 2017, both groups participated in sensory integration programs, while therapeutic listening training was administered only to the experimental group. Sensory integration therapy was conducted in two sessions per week for six weeks (12 sessions); each session consisted of 40 minutes of therapy and 10 minutes of parent education. Therapeutic listening was conducted in three thirty-minute sessions per week for six weeks (18 sessions). We used the Canadian Occupation Performance Measure (COPM) to evaluate changes in the participants' occupational performance between pre- and post-intervention. We used Fisher's Auditory Problems Checklist (FAPC) to observe changes in behavioral problems related to hearing. The Child Attention Scale for Teacher (CAST) was used to evaluate changes in attention. Results : No significant differences pre- and post-intervention between the two groups were observed. The participants' auditory behavioral problems improved significantly in the experimental group, but no significant difference was found between the two groups. There was no significant difference in attention between the two groups, but there was a significant difference between the two groups in the "adaptability" and "emotion" domains (p < .05). Conclusion : The results suggest that therapeutic listening training has a positive effect on reducing problematic behaviors related to hearing and improving the occupational performance of children with sensory modulation disorder. This study provides a basis for improving the sensory processing ability of children with sensory modulation disorder by applying listening training in the clinical field and at home.

• Science of Emotion and Sensibility
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• v.23 no.3
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• pp.19-36
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• 2020

This study is aimed at analyzing the characteristics of adaptation to college life among freshmen of D University by utilizing the DEU-GRIT test. To achieve this, we examined differences in level of college life adaptation according to gender and major, and explored the characteristics of college life adaptation among college freshmen who were clustered based on their level of academic, social, emotional, and career adaptation, which is an important factor in adaptation to college life. Moreover, based on the DEU-GRIT test standards, we also explored the characteristics of their college life adaptation by sorting out low level groups of freshmen with difficulties adapting. The results demonstrated that male students had a higher level of emotional adaptation than female students, and that science and technology majors had higher levels of academic and emotional adaptation than students in the humanities and society majors. Furthermore, a cluster analysis based on 4 factor levels of college life adaptation showed that cluster 1 had a high level of adaptability to all factors, but cluster 3 had a low level of adaptability to all factors. Moreover, while cluster 2 showed a high level of emotional adaptation, cluster 4 showed a low level of emotional adaptation. On the other hand, a lower-standard group of DEU-GRIT tests showed that the level of academic adaptation and social adaptation was higher among female students than among male students. However, the overall level of college life, academic, and emotional adaptation were higher among science and technology students than among those majoring in humanities and social studies. In addition, a cluster analysis based on the level of 4 factors of college life adaptation of lower-standard groups showed that cluster 1 of the lower-standard groups had a high level of emotional adaptation, while cluster 2 of the lower-standard groups had a low level of emotional and career adaptation and a high level of academic and social adaptation. Also, cluster 3 of the lower-standard groups was found to have low levels of all factors, and cluster 4 of the lower-standard groups showed low levels of social and emotional adaptation and high levels of academic and career adaptation. This indicates that, in terms of social and emotional adaptation among freshmen, participation in psychological counseling programs tailored according to gender is necessary and, regarding the major, relative emotional intervention is required due to the high and low expectations of job prospects. In conclusion, the emotional and social adaptation to college life among the lower-level groups is likely to serve as a protective factor for college life adaptation, suggesting that specific intervention should be contemplated.

• Science of Emotion and Sensibility
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• v.14 no.4
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• pp.571-580
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• 2011

The purpose of this study was to evaluate the effects of secondary task such as sending text message (STM) and searching navigation (SN) using the variable indicating control of vehicle ((Medial-Lateral Coefficient of Variation, MLCV), (Anterior-Posterior Coefficient of Variation, APCV)) and motion signal (Jerk-Cost function, JC). Participants included 50s taxi drivers; 14 males and 14 females. Participants were instructed to keep a certain distance (30m) from the car ahead with constant speed (80km/hr or 100km/hr). Experiement consisted of driving alone for 1minute and driving with secondary task for 1minute. Both MLCV and APCV were significantly increased during Driving + Sending Text Message(STM) and Driving + Searching Navigation(SN) than Driving only. Also, JC was increased during Driving + STM and Driving + SN than Driving only. In this study, we found that even in the experts group who are taxi driver and have 25 years driving experience, the smoothness of motion is decreased and the control of vehicle is disturbed when they were performing secondary tasks like sending text message or searching navigation.

• Science of Emotion and Sensibility
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• v.6 no.4
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• pp.9-14
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• 2003

Sleep stages have been useful indicator to check a person's comfortableness in a sleep, But the traditional method of scoring sleep stages with polysomnography based on the integrated analysis of the electroencephalogram(EEG), electrooculogram(EOG), electrocardiogram(ECG), and electromyogram(EMG) is too restrictive to take a comfortable sleep for the participants, While the sympathetic nervous system is predominant during a wakefulness, the parasympathetic nervous system is more active during a sleep, Cardiovascular function is controlled by this autonomic nervous system, So, we have interpreted the heart rate variability(HRV) among sleep stages to find a simple method of classifying sleep stages, Six healthy male college students participated, and 12 night sleeps were recorded in this research, Sleep stages based on the "Standard scoring system for sleep stage" were automatically classified with polysomnograph by measuring EEG, EOG, ECG, and EMG(chin and leg) for the six participants during sleeping, To extract only the ECG signals from the polysomnograph and to interpret the HRV, a Sleep Data Acquisition/Analysis System was devised in this research, The power spectrum of HRV was divided into three ranges; low frequency(LF), medium frequency(MF), and high frequency(HF), It showed that, the LF/HF ratio of the Stage W(Wakefulness) was 325% higher than that of the Stage 2(p＜.05), 628% higher than that of the Stage 3(p＜.001), and 800% higher than that of the Stage 4(p＜.001), Moreover, this ratio of the Stage 4 was 427% lower than that of the Stage REM (rapid eye movement) (p＜.05) and 418% lower than that of the Stage l(p＜.05), respectively, It was observed that the LF/HF ratio decreased monotonously as the sleep stage changes from the Stage W, Stage REM, Stage 1, Stage 2, Stage 3, to Stage 4, While the difference of the MF/(LF+HF) ratio among sleep Stages was not significant, it was higher in the Stage REM and Stage 3 than that of in the other sleep stages in view of descriptive statistic analysis for the sample group.

• Science of Emotion and Sensibility
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• v.10 no.3
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• pp.411-418
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• 2007

Exposure to low frequency noise(LFN) can lead to vibroacoustic diseases(VADs), which include a systemic disease with lesions in a broad spectrum of organs and a psychiatric condition. It is known that VAD is an established risk factor for the development of many psychological conditions in humans and rodents, including major depression and anxiety disorder. The present study investigated the effects of LFN on neuronal stress responses in the rat brain. The neuronal expression of the proto-oncogene c-fos in the paraventricular nucleus(PVN) of the hypothalamus and tyrosine hydroxylase(TH) in the LC was observed. The immunocytochemical detection of the Fos protein and TH has been used as a marker of neuronal activation in response to stress. In addition, corticosterone concentration was evaluated by using an enzyme-linked immunosorbent assay(ELISA). The LFN groups were exposed to 32.5Hz and 125Hz of noise(4hr/day for 2days). The numbers of c-fos and TH-immunoreactive cells in the PVN and LC were significantly increased in the LFN groups(32.5Hz and 125Hz) compared to the normal group. Corticosterone concentration in plasma was also increased in LFN groups. The present results demonstrated that exposure with LFN produced a pronounced increase in expression of c-Fos and TH in stress-relevant brain areas. These results suggest that the neural characteristics involved in LFN are similar to those activated by typical processive stressors. These results also suggest that the central and peripheral activations by LFN may be related to LFN-related negative behavioral dysfunctions such as VADs.

• Science of Emotion and Sensibility
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• v.22 no.4
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• pp.97-106
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• 2019

The purpose of this study was to investigate the effect of the type and measurement location of a fabric strain gauge sensor on the detection performance for respiratory signals. We implemented two types of sensors to measure the respiratory signal and attached them to a band to detect the respiratory signal. Eight healthy males in their 20s were the subject of this study. They were asked to wear two respiratory bands in turns. While the subjects were measured for 30 seconds standing comfortably, the respiratory was given at 15 breaths per minute were synchronized, and then a 10-second break; subsequently, the entire measurement was repeated. Measurement locations were at the chest and abdomen. In addition, to verify the performance of respiratory measurement in the movement state, the subjects were asked to walk in place at a speed of 80 strides per minute(SPM), and the respiratory was measured using the same method mentioned earlier. Meanwhile, to acquire a reference signal, the SS5LB of BIOPAC Systems, Inc., was worn by the subjects simultaneously with the experimental sensor. The Kruskal-Wallis test and Bonferroni post hoc tests were performed using SPSS 24.0 to verify the difference in measurement performances among the group of eight combinations of sensor types, measurement locations, and movement states. In addition, the Wilcoxon test was conducted to examine whether there are differences according to sensor type, measurement location, and movement state. The results showed that the respiratory signal detection performance was the best when the respiratory was measured in the chest using the CNT-coated fabric sensor regardless of the movement state. Based on the results of this study, we will develop a chest belt-type wearable platform that can monitor the various vital signal in real time without disturbing the movements in an outdoor environment or in daily activities.

• Science of Emotion and Sensibility
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• v.19 no.2
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• pp.55-66
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• 2016

This study was aimed to characterize the color of cotton fabric dyed with three different natural resources such as persimmon, citrus, and brown algae and to propose new trend color themes for fashion color planning for newborn and toddler wear. A variety of color shades by dyeing cotton fabric with persimmon, citrus, and brown algae respectively was obtained and each color was also determined if it could be matched with one of Pantone TPX considering authorized color trends for 2016 Spring/Summer. Finally a group of new trend color theme for 2016S/S newborn and toddler wear were proposed for naturally dyed cotton fabric. As results, the three natural dyeing resources gave color gamut with hue ranging from Purple Blue to Green Yellow and with tones including pale, light grayish, soft, grayish, and dull by their single and compound dyeing. A total of 23 colors matched to Pantone TPX were considered for the fashion color planning by natural dyeing. The selected natural colors were grouped as three different color ways and thereafter the color ways were differentiated in terms of representative color sensibility by using subjective evaluation. Finally three characterized color themes were proposed as 'Serenity', 'Juicy', and 'Fancy', each of which has tried to express differentiated feeling of each natural resources for dyeing, to follow up to global color trends, and to contribute to newborn and toddler wear's own requirements and marketability. These results suggest that natural dyeing colors could be applied into fashion color planning in current fashion industries in order to produce more sensible and emotional design of fashion goods using natural dyeing.

• Journal of Intelligence and Information Systems
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• v.24 no.4
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• pp.197-217
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• 2018

Music is one of the most creative act that can express human sentiment with sound. Also, since music invoke people's sentiment to get empathized with it easily, it can either encourage or discourage people's sentiment with music what they are listening. Thus, sentiment is the primary factor when it comes to searching or recommending music to people. Regard to the music recommendation system, there are still lack of recommendation systems that are based on customer sentiment. An algorithm's that were used in previous music recommendation systems are mostly user based, for example, user's play history and playlists etc. Based on play history or playlists between multiple users, distance between music were calculated refer to basic information such as genre, singer, beat etc. It can filter out similar music to the users as a recommendation system. However those methodology have limitations like filter bubble. For example, if user listen to rock music only, it would be hard to get hip-hop or R&B music which have similar sentiment as a recommendation. In this study, we have focused on sentiment of music itself, and finally developed methodology of defining new index for music recommendation system. Concretely, we are proposing "SWEMS" index and using this index, we also extracted "Sentiment Pattern" for each music which was used for this research. Using this "SWEMS" index and "Sentiment Pattern", we expect that it can be used for a variety of purposes not only the music recommendation system but also as an algorithm which used for buildup predicting model etc. In this study, we had to develop the music recommendation system based on emotional adjectives which people generally feel when they listening to music. For that reason, it was necessary to collect a large amount of emotional adjectives as we can. Emotional adjectives were collected via previous study which is related to them. Also more emotional adjectives has collected via social metrics and qualitative interview. Finally, we could collect 134 individual adjectives. Through several steps, the collected adjectives were selected as the final 60 adjectives. Based on the final adjectives, music survey has taken as each item to evaluated the sentiment of a song. Surveys were taken by expert panels who like to listen to music. During the survey, all survey questions were based on emotional adjectives, no other information were collected. The music which evaluated from the previous step is divided into popular and unpopular songs, and the most relevant variables were derived from the popularity of music. The derived variables were reclassified through factor analysis and assigned a weight to the adjectives which belongs to the factor. We define the extracted factors as "SWEMS" index, which describes sentiment score of music in numeric value. In this study, we attempted to apply Case Based Reasoning method to implement an algorithm. Compare to other methodology, we used Case Based Reasoning because it shows similar problem solving method as what human do. Using "SWEMS" index of each music, an algorithm will be implemented based on the Euclidean distance to recommend a song similar to the emotion value which given by the factor for each music. Also, using "SWEMS" index, we can also draw "Sentiment Pattern" for each song. In this study, we found that the song which gives a similar emotion shows similar "Sentiment Pattern" each other. Through "Sentiment Pattern", we could also suggest a new group of music, which is different from the previous format of genre. This research would help people to quantify qualitative data. Also the algorithms can be used to quantify the content itself, which would help users to search the similar content more quickly.