• Title/Summary/Keyword: emotional parameters

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A Study on the Construction of a Real-time Sign-language Communication System between Korean and Japanese Using 3D Model on the Internet (인터넷상에 3차원 모델을 이용한 한-일간 실시간 수화 통신 시스템의 구축을 위한 기초적인 검토)

  • Kim, Sang-Woon;Oh, Ji-Young;Aoki, Yoshinao
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.36S no.7
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    • pp.71-80
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    • 1999
  • Sign-language communication can be a useful way of exchanging message between people who using different languages. In this paper, we report an experimental survey on the construction of a Korean-Japanese sign-language communication system using 3D model. For real-time communication, we introduced an intelligent communication method and built the system as a client-server architecture on the Internet. A character model is stored previously in the clients and a series of animation parameters are sent instead of real image data. The input-sentence is converted into a series of parameters of Korean sign language or Japanese sign language at server. The parameters are transmitted to clients and used for generating the animation. We also employ the emotional expressions, variable frames allocation method, and a cubic spline interpolation for the purpose of enhancing the reality of animation. The proposed system is implemented with Visual $C^{++}$ and Open Inventor library on Windows platform. Experimental results show a possibility that the system could be used as a non-verbal communication means beyond the linguistic barrier.

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Generative AI parameter tuning for online self-directed learning

  • Jin-Young Jun;Youn-A Min
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.4
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    • pp.31-38
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    • 2024
  • This study proposes hyper-parameter settings for developing a generative AI-based learning support tool to facilitate programming education in online distance learning. We implemented an experimental tool that can set research hyper-parameters according to three different learning contexts, and evaluated the quality of responses from the generative AI using the tool. The experiment with the default hyper-parameter settings of the generative AI was used as the control group, and the experiment with the research hyper-parameters was used as the experimental group. The experiment results showed no significant difference between the two groups in the "Learning Support" context. However, in other two contexts ("Code Generation" and "Comment Generation"), it showed the average evaluation scores of the experimental group were found to be 11.6% points and 23% points higher than those of the control group respectively. Lastly, this study also observed that when the expected influence of response on learning motivation was presented in the 'system content', responses containing emotional support considering learning emotions were generated.

Effect of Hollow Composite Yarn Characteristics to the Comfort Property of Fabrics for High Emotional Garment (중공 복합사 특성이 고감성 의류용 직물의 쾌적성에 미치는 영향)

  • Kim, Hyun-Ah
    • Science of Emotion and Sensibility
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    • v.17 no.4
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    • pp.71-78
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    • 2014
  • Composite draw textured yarns(DTY) and air jet textured yarns(ATY) with hollow PET filament have been used for making high emotional fabrics including light weight sports wear garments. This study investigated effect of hollow composite yarns and fabric structural parameters to the comfort properties related to the moisture and thermal transport phenomena for the composite fabrics made of DTY and ATY with hollow PET filament. Wicking property of hollow composite fabric was superior at the high pore size fabric and was not influenced by fabric cover factor. Wicking property of the fabric with ATY was better than that of the fabric with DTY. On the other hand, drying rate of fine pore sized fabric was shorter than that of large pore sized fabric and drying rate of high multi yarn fabric with low cover factor and small pore size was superior than that of hollow composite fabric. The pore size of the fabric was dominant factor in the air permeability and thermal conductivity of hollow composite fabric. High pore sized fabric showed high air permeability and thermal conductivity of hollow composite fabric was nonlinearly inversely proportional to pore size of the fabric.

Analyses of Public Library User Experiences using Customer Experience Management (CEM) Perspective: Focused a Public Library in Goyang City (고객 경험 관리(CEM)를 활용한 공공도서관의 이용자 경험 분석 - 고양시립도서관을 중심으로 -)

  • Lee, Go-Eun;Park, Ji-Hong
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.32 no.4
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    • pp.135-159
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    • 2021
  • This study aims to analyze communication and experiences between public libraries and to identify these factors affect user satisfaction. Customer experience management (CEM), which is currently used in various fields of management and marketing, was applied to segment and analyze user experiences. After reviewing CEM research in marketing and management to derive user experience points, set physical environment, human factors, communication, and service as independent variables, emotional pleasure as parameters, and user satisfaction as dependent variables. Based on this, questionnaire items were constructed. The survey method was conducted in two ways, online and offline (face-to-face), and statistical analysis was performed based on a total of 60 questionnaires collected. The results indicate the higher the user's experience with the physical environment and convenience, the higher the satisfaction level, but library accessibility had no significant effect. In addition, library staff attitude and problem-solving ability had a great influence on user satisfaction, and problem-solving ability had a more important influence than kindness and emotional pleasure was found to have an mediating effect.

A Study on the Intent to Accept Online Art Platforms (온라인 미술품 플랫폼 수용 의도에 관한 연구)

  • Lee, Seung-Haeng;Lee, Won-Boo
    • The Journal of the Korea Contents Association
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    • v.22 no.2
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    • pp.630-646
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    • 2022
  • This study examines online art platforms as a new type of informational technology and seeks to verify the impact of the user's perceived value and acceptance of new technologies on the behavioral intention about art platforms. For this, it was conducted to survey 489 users of the online art platform. Several emotional value, functional value, social value, and value for money were selected as perceived value variables, and performance expectancy, effort expectancy, and facilitating conditions were set as variables of new technology adaptation. As evident in the correlation with perceived values, emotional value and social value have a significant impact on all parameters of new technology adaptation, while functional values and value for money only affect facilitating conditions and behavioral intention, respectively. Furthermore, the impact of acceptance of new technologies confirms that performance expectancy and facilitating conditions affect behavioral intention. This study demonstrates the perceived value of online art platform users and the acceptance of new technologies. Therefore, it is expected that platform providers will be able to use it as primary data to understand and reflect user requirements.

A Study on Nursing Needs of Patients in the Recovery Room (회복실 환자의 간호요구도에 관한 연구 - 일 종합병원을 중심으로 -)

  • Kim Eun-Kyoung;Chae Soon-Ok;Kwon Kun-Sook;Kim Yun-Jeung;Hong Mun-He;Kim Me-Hee;Kim Nam-Sun;Lee Kyu-Eun
    • Journal of Korean Academy of Fundamentals of Nursing
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    • v.9 no.1
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    • pp.86-100
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    • 2002
  • Purpose: The purpose of the study was done to identify the nursing care needs of patients in the recovery room. Method: The subjects in this study were 127 patients in a recovery room between 6/9/2001 and 24/9/2001. The instrument used for this study was the descriptive questionnaire developed by Shin Hyun-Jin (1999). The data was analysed by frequency, percentage, mean, standard deviation, t-test, ANOVA, and factor analysis using the SPSS program. Result: 1) Kaiser - Meyer -O1kin sample appropriateness was 799 and Bartlett's test of sphericity significant probability was .000. 2) The mean score for nursing care need of patients in the recovery room was $4.17{\pm}.51$ of a total possible score of 5. The score of nursing need for different parameters was as follows : Educational need ($4.31{\pm}.49$), physical need ($4.27{\pm}.47$), emotional need ($4.11{\pm}.52$), environmental need ($3.99{\pm}.56$). 3) Differences in the needs for nursing care according to the demographics were significant for gender, marital status, operation experience, and departments consulted. General characteristic variables significantly related to nursing need were as follows: Physical need significantly related to the departments consulted (F=2.23, p=.036). Educational need significantly related to the marital status (F=2.55. p=.012), departments consulted (F=2.30, p= 031). Emotional need significantly related to the marital status (F=2.22, p=.028). Environmental need significantly related to the gender (t=-2.44, p= .016), marital status (F=2.01, p= .046). operation experience (t=-1.99. p= .048). Conclusion: Nursing care needs of patients in the recovery room are significantly related to educational need, physical need, emotional need and environmental need. Intervention plans and program need to be developed to improve strategies to meet nursing needs of patients in the recovery room.

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Study on Data Normalization and Representation for Quantitative Analysis of EEG Signals (뇌파 신호의 정량적 분석을 위한 데이터 정규화 및 표현기법 연구)

  • Hwang, Taehun;Kim, Jin Heon
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.9 no.6
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    • pp.729-738
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    • 2019
  • Recently, we aim to improve the quality of virtual reality contents based on quantitative analysis results of emotions through combination of emotional recognition field and virtual reality field. Emotions are analyzed based on the participant's vital signs. Much research has been done in terms of signal analysis, but the methodology for quantifying emotions has not been fully discussed. In this paper, we propose a normalization function design and expression method to quantify the emotion between various bio - signals. Use the Brute force algorithm to find the optimal parameters of the normalization function and improve the confidence score of the parameters found using the true and false scores defined in this paper. As a result, it is possible to automate the parameter determination of the bio-signal normalization function depending on the experience, and the emotion can be analyzed quantitatively based on this.

Psychosocial support interventions for women with gestational diabetes mellitus: a systematic review

  • Jung, Seulgi;Kim, Yoojin;Park, Jeongok;Choi, Miyoung;Kim, Sue
    • Women's Health Nursing
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    • v.27 no.2
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    • pp.75-92
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    • 2021
  • Purpose: This study aimed to analyze the content and effectiveness of psychosocial support interventions for women with gestational diabetes mellitus (GDM). Methods: The following databases were searched with no limitation of the time period: Ovid-MEDLINE, Cochrane Library, Ovid-Embase, CINAHL, PsycINFO, NDSL, KoreaMed, RISS, and KISS. Two investigators independently reviewed and selected articles according to the predefined inclusion/exclusion criteria. ROB 2.0 and the RoBANS 2.0 checklist were used to evaluate study quality. Results: Based on the 14 selected studies, psychosocial support interventions were provided for the purpose of (1) informational support (including GDM and diabetes mellitus information; how to manage diet, exercise, stress, blood glucose, and weight; postpartum management; and prevention of type 2 diabetes mellitus); (2) self-management motivation (setting goals for diet and exercise management, glucose monitoring, and enhancing positive health behaviors); (3) relaxation (practicing breathing and/or meditation); and (4) emotional support (sharing opinions and support). Psychosocial supportive interventions to women with GDM lead to behavioral change, mostly in the form of self-care behavior; they also reduce depression, anxiety and stress, and have an impact on improving self-efficacy. These interventions contribute to lowering physiological parameters such as fasting plasma glucose, glycated hemoglobin, and 2-hour postprandial glucose levels. Conclusion: Psychosocial supportive interventions can indeed positively affect self-care behaviors, lifestyle changes, and physiological parameters in women with GDM. Nurses can play a pivotal role in integrative management and can streamline the care for women with GDM during pregnancy and following birth, especially through psychosocial support interventions.

Creating 3D Artificial Flowers using Structured Directed Graph and Interactive Genetic Algorithm (구조적 방향성 그래프와 대화형 유전자 알고리즘을 이용한 3차원 꽃의 생성)

  • 민현정;조성배
    • Journal of KIISE:Software and Applications
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    • v.31 no.3
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    • pp.267-275
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    • 2004
  • Directed graph and Lindenmayer system (L-system) are two major encoding methods of representation to develop creatures in application field of artificial life. It is difficult to define real morphology structurally using the L-systems which are a grammatical rewriting system because L-systems represent genotype as loops, procedure calls, variables, and parameters. This paper defines a class of representations called structured directed graph, which is identified by its ability to define structures of the genotype in the translation to the phenotype, and presents an example of creating 3D flowers using a directed graph which is proper method to represent real morphology, and interactive genetic algorithm which decodes the problem with human's emotional evaluation. The experimental results show that natural flower morphology can be generated by the proposed method.

Effects of Psychosocial Interventions on Cortisol and Immune Parameters in Patients with Cancer: A Meta-analysis (암 환자에게 적용한 심리사회적 중재가 코티졸과 면역기능에 미친 효과: 메타분석)

  • Oh, Pok Ja;Jang, Eun-Su
    • Journal of Korean Academy of Nursing
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    • v.44 no.4
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    • pp.446-457
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    • 2014
  • Purpose: This study was done to evaluate the effects of psychosocial interventions on cortisol and immune response in adult patients with cancer. Methods: MEDLINE via PubMed, Cochrane Library CENTRAL, EMBASE, CINAHL and domestic electronic databases were searched. Twenty controlled trials (11 randomized and 9 non-randomized trials) met the inclusion criteria with a total of 862 participants. Methodological quality was assessed using the Cochrane's Risk of Bias for randomized studies and the Risk of Bias Assessment tool for non randomized studies. Data were analyzed using the RevMan 5.2.11 program of Cochrane library. Results: Overall, study quality was moderate to high. The weighted average effect size across studies was -0.32 (95% CI [-0.56, -0.07], p=.010, $I^2 $=45%) for cortisol concentration, -0.62 (95%CI [-0.96,-0.29], p<.001, $I^2 $=0%) for T lymphocyte (CD3) and -0.45 (95%CI [-0.74, -0.16], p=.003, $I^2 $=0%) for Th lymphocyte (CD4) numbers. Psychosocial interventions were not effective for Tc lymphocyte (CD4), NK cell, monocyte, and cytokine response. Conclusion: Although these results provide only small evidence of successful immune modulation, they support the conclusion that psychosocial interventions can assist cancer patients in reducing emotional distress and improving immune response.