• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.58 no.2
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• pp.130-140
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• 2022

Recently, wideband acoustic technology has been introduced and started to be used in fisheries acoustic surveys in various waters worldwide. Wideband acoustic data provides high vertical resolution, high signal-to-noise ratio and continuous frequency characteristics over a wide frequency range for species identification. In this study, the main characteristics of wideband acoustic systems were elaborated, and a general methodology for wideband acoustic data analysis was presented using data collected in frequency modulation mode for the first time in Republic of Korea. In particular, this study described the data recording method using the mission planner of the wideband autonomous acoustic system, wideband acoustic data signal processing, calibration and the wideband frequency response graph. Since wideband acoustic systems are currently installed on many training and research vessels, it is expected that the results of this study can be used as basic knowledge for fisheries acoustic research using the state-of-the-art system.

• Journal of Physiology & Pathology in Korean Medicine
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• v.38 no.1
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• pp.1-9
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• 2024

Cognitive reserve (CR) is a concept that can explain the discrepancies between the pathologic burden of the disease and clinical manifestations. It refers to the individual susceptibility to age-related brain changes and pathologies related to Alzheimer's disease, thus recognized as a factor affecting the trajectories of the disease. The purpose of this study was to explore the current states of clinical studies on neural substrates of CR in Alzheimer's disease using functional magnetic resonance imaging. We searched for clinical studies on CR using fMRI in the Pubmed, Cochrane library, RISS, KISS and ScienceON on August 14, 2023. Once the online search was finished, studies were selected manually by the inclusion criteria. Finally, we analyzed the characteristics of selected articles and reviewed the neural substrates of CR. Total thirty-four studies were included in this study. As surrogate markers of CR, not only education and occupational complexity, but also composite score and questionnaire-based method, which cover various areas of life, were mainly used. The most utilized methods in resting-state fMRI were independent component analysis, seed-based analysis, and graph theory analysis. Through the analysis, we demonstrated that neuroimaging techniques could capture the neural substrates associated with cognitive reserve. Moreover, functional connectivity of brain regions centered on prefrontal and parietal cortex and network areas such as default mode network showed a significant correlation with CR, which indicated a significant association with cognitive performance. CR may induce differential effects according to the disease status. We hope that this perspective on cognitive reserve would be helpful when conducting clinical researches on the mechanisms of traditional Korean medicine for Alzheimer's disease in the future.

• The Journal of the Korea Contents Association
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• v.8 no.12
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• pp.176-189
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• 2008

The purpose of this study was to analyze self-regulation about changing heart rate and perceived arousal variation when actors start their performance. Object of this study were 5 actors who belong to the theater selected using the purposive sampling method. This study used a measuring instrument of heart rate to measure arousal status, used behavior observation paper to observe and record self-regulation behavior and executed personal consultation after ending performance. There was graph mad by variation transition which calculated average and standard deviation about variation of heart rate each time of performance. The results of this study were as follows. First, there were high variation of awake level that actor's heart rates were rising before starting performance and the most high level of arousal was from 20minutes to 5minutes before starting performance. Second, there were self-regulation behaviors appeared such as deep breathing, breath controling, self talking, talking with other actors, concentrating an script, going to toilet, smoking, checking closes before starting performance. Third, when performance start, actors used psychological self-regulational method such as relaxation, self concentration, confidence reinforcement, coping with state or accommodation for controling raised arousal status.

• Journal of Korean Academy of Nursing
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• v.15 no.3
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• pp.5-20
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• 1985

The purpose of this study was to assess the value-of post-operative treatment in terms of nursing care in the allevation of pain. More specifically, the effects of supportive touch and patient education were examined. On the date before each patient's operation, the Bevels of anxiety, depression and affiliation were examined. The post-operative treatment was adminis. tered after an initial measurement of the patient's fain, according to the experimental category for the three days following the operation. On the final day, the level of anxiety and depression were again measured. The subjects of this study were 138 patient from the general surgical and gynecological wards in H university Hospital in Seoul. The study was conducted over a three-month period from June 24, 1984 to September 18, 1984. All patients had undergone laparatomies. Various standard instruments were used to measure the pain, anxiety, depression and affiliation levels. for pain, 5 grate Simple Descriptive Scale, and the Mclachlan four-range Observational Pain Scale were employed. For anxiety and depression, respectively the Spielberger State Anxiety Inventory and Beck Depression Inventory (B.D.I.) were used. Lastly, the affiliation was determined by the Mehrabian Affiliation Scale. The outcome of the research was as follows: 1. The first hypothesis concerning the existence of lower pain levels of Experimental Group A and Experimental Group B than the pain levels of Control Croup C was not supported. 2. The second hypothesis concerning the existence if lower anxiety levels of Experimental Group A and Experimental Group B than the anxiety levels of Control Group C was supported at the level of F=3.58 (p=.03). 3. The third hypothesis concerning the existence of lower depression levels of Experimental Group A and Experimental Group B than the depression levels of Control Group C was not supported. 4. The fourth hypothesis concerning the existence of different levels of pain in accordance with the levels of affiliation in Experimental Group A was not supported. 5. A positive correlation did exist between pain and anxiety after surgery (r=.34, p=.0001). Thus, the fifth hypothesis was supported. 6. A positive correlation did exist between pain and depression following surgery(r=.36, p=.0001). Thus, the sixth hypothesis was supported. Based on the above results, it was found that supportive touch and patient education either through human sources or via tape recorder do influence the anxiety of a patient after surgery, that a Positive correlation between pain, anxiety and deparession exist, that affiliation does not alter the influence of supportive touch, and that the graph on which pain levels were depicted indicates the possibility of development even if the effects of supportive touch did not reach a meaningful level. Thus it can be concluded that patient education, regardless of its form, is essential for the patient after surgery and that supportive touch, when reasonably modified and supplemented, can be an effective method of alleviating pain.

• Journal of the Korea Convergence Society
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• v.9 no.1
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• pp.419-431
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• 2018

In this paper, we propose a novel method for monitoring mood trend of Twitter users by analyzing their daily tweets for a long period. Then, to more accurately understand their tweets, we analyze all types of content in tweets, i.e., texts and emoticons, and images, thus develop a multimodal sentiment analysis method. In the proposed method, two single-modal analyses first are performed to extract the users' moods hidden in texts and images: a lexicon-based and learning-based text classifier and a learning-based image classifier. Thereafter, the extracted moods from the respective analyses are combined into a tweet mood and aggregated a daily mood. As a result, the proposed method generates a user daily mood flow graph, which allows us for monitoring the mood trend of users more intuitively. For evaluation, we perform two sets of experiment. First, we collect the data sets of 40,447 data. We evaluate our method via comparing the state-of-the-art techniques. In our experiments, we demonstrate that the proposed multimodal analysis method outperforms other baselines and our own methods using text-based tweets or images only. Furthermore, to evaluate the potential of the proposed method in monitoring users' mood trend, we tested the proposed method with 40 depressive users and 40 normal users. It proves that the proposed method can be effectively used in finding depressed users.

• Sleep Medicine and Psychophysiology
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• v.9 no.1
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• pp.61-67
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• 2002

Objectives: This study is aimed at measuring psychophysiological responses using a biofeedback system in healthy people to obtain basic normative data for biofeedback research and treatment. Methods: Ninety-six healthy volunteers (55 males and 41 females : average age $30.4{\pm}8.0$) without any history of major medical or psychiatric illnesses participated in this study. Psychophysiological responses were assessed using the ProComp+ and BioGraph program (ver. 2.1) with regard to forearm and frontal electromyography (EMG), electrodermal response (EDR), and skin temperature. They were measured in 3 phases (baseline, stress, and recovery phases), respectively. Beck depression inventory and Spielberger state and trait anxiety inventory were used to measure mood states. We compared psychophysiological responses according to age and gender differences, respectively and examined the relationship between mood states and psychophysiological measures. Results: People in their twenties showed higher EDR levels in the 3 phases than those of other age groups. Female subjects showed higher frontal EMG levels in the 3 phases compared with male subjects. There was no significant correlation between biofeedback measures and mood states in these subjects. Conclusion: We present normative data of psychophysiological responses measured by a biofeedback system in healthy people. These results suggest that gender and age should be considered as important variables in assessing psychophysiological responses using a biofeedback system.

• Archives of design research
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• v.17 no.4
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• pp.141-148
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• 2004

The purpose of this study is to define the emotion that expressed in step animation and to quantify the intuitional expression of emotion that related step for using extract, measure, analysis the stimulate element about step. The survey of relation with 27 word of emotional expressions and 36 moving pictures of step sample is used for method of this test. The emotional mental structure is transferred to 2 dimensional planes as applying the results of analysis of integrated data using Quantification Method 3, which the integrated data is composed two axial - confidential axial and stabling axial. Analysis of distribution of 2 dimensional diagram shows that the second of the plane and the third of the plane have much data. However, the first of the plane and the forth of the plane have a little data. Through this kind of analysis of graph, it is difficult to express a different emotion between unstable the timidity mind and stable feel the timidity mind using only step analysis. Six difference types about physical elements affecting to emotion are selected and analyzed such as the paces of step, the rate of step, the movement angle of pelvis, the swing range of arm, angle of backbone and the lean angle of body. The result is that the rate of stop and the lean angle of body are the major element that effects to emotional stimulate of stop. This thesis argues about methods transforming subjective expression to objective and quantitative expression with the state of delicate emotion of character apply to step animation naturally. Those data to apply to multi-contents in future are the main target in this study.

• Journal of KIISE:Databases
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• v.37 no.3
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• pp.127-136
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• 2010

With rapid growth of information and computer communication technologies, the numbers of digital documents including multimedia data have been recently exploded. In particular, news video database and news video mining have became the subject of extensive research, to develop effective and efficient tools for manipulation and analysis of news videos, because of their information richness. However, many research focus on browsing, retrieval and summarization of news videos. Up to date, it is a relatively early state to discover and to analyse the plentiful latent semantic knowledge from news videos. In this paper, we propose the news video mining system based on multi-modal approach and text mining, which uses the visual-textual information of news video clips and their scripts. The proposed system systematically constructs a taxonomy of news video stories in automatic manner with hierarchical clustering algorithm which is one of text mining methods. Then, it multilaterally analyzes the topics of news video stories by means of time-cluster trend graph, weighted cluster growth index, and network analysis. To clarify the validity of our approach, we analyzed the news videos on "The Second Summit of South and North Korea in 2007".

• The Journal of Korean Obstetrics and Gynecology
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• v.21 no.4
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• pp.183-193
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• 2008

Purpose: To research the changes of Skin Resistance Variability(SRV) over the period of ovarian cycle of healthy young women with normal and regular menstrual cycles using Oriental Medical Diagnose Autonomic system-3000 (OMD-3000). Methods: We measured SRV of 15 women who were working at O O Oriental Hospital from July to Oct. 2008. Each woman took the OMD-3000 test 8 times during 2 menstrual cycles. Each cycle consists of 4 phases-follicular phase, ovulation, luteal phase and menstruation. We analyse the data by SPSS 12.0 for windows. the one-way ANOVA by Repeated Measure(p<0.05). Results: 1. (1) The Factor AA means at zone 1 were 0.77$\pm$0.40, at zone 2 were 1.07$\pm$0.68, at zone 3 were 0.77$\pm$0.35, at zone 4 were 0.68$\pm$0.32, at zone 5 were 0.74$\pm$0.29, at zone 6 were 0.85$\pm$0.30, and at zone 7 were 0.74$\pm$0.29. The Factor AA means were lower than normal range at zone 1,3,4,5,6 and 7. The graph pattern of M shape was caused by the Factor AA means at zone 2 and zone 6 were higher than others. (2) The Factor AA means at zone 1 and zone 3 show abnormal regulation state. 2. During the menstruation. the Factor AA means were higher at zone 1,2 and 3 than other zones. During the ovulation, the Factor AA means were higher at zone 4,5,6 and 7 than other zones. Especially at the menstruation phase in zone 2 and at the ovulation phase in zone 6 tend to be highest means than other phases respectively. 3. However there were no significant difference of means during 4 ovarian phases in 7 zones except ovulation phase to luteal phase at zone 4(p = 0.013). Conclusion: The results suggest that changes of SRV during 4 menstrual cycles are not variables in reading 7-zone-diagnostic system. Further study will be needed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.3
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• pp.100-109
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• 2019

Maintainability indicates the extent to which maintenance can be done easily and quickly. The consideration of maintainability is crucial to reduce the operation and support costs of weapon systems, but if the maintainability is evaluated after the prototype production is done and necessitates design changes, it may increase the cost and delay the schedule. The evaluation should verify whether maintenance work can be performed, and support the designers in developing a design to improve maintainability. In previous studies, the maintainability index was calculated using the graph theory at the early design phase, but evaluation accuracy appeared to be limited. Analyzing the methods of evaluating the maintainability using fuzzy logic and 3D modeling indicate that the design of a system with good maintainability should be done in an integrated manner during the whole system life cycle. This paper proposes a method to evaluate maintainability using SysML-based modeling and simulation technique and fuzzy logic. The physical design structure with maintainability attributes was modeled using SysML 'bdd' diagram, and the maintainability was represented by an AHP matrix for maintainability attributes. We then calculated the maintainability using AHP-based weighting calculation and fuzzy logic through the use of SysML 'par' diagram that incorporated MATLAB. The proposed maintainability model can be managed efficiently and consistently, and the state of system design and maintainability can be analyzed quantitatively, thereby improving design by early identifying the items with low maintainability.