• Title/Summary/Keyword: individual face model.

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Relationship between Spatial Inclusivity and Social Participation According to Degree of Disability (장애 정도에 따른 공간적 포용성과 사회참여의 관계)

  • Kim, Si Hwa;Park, In Kwon
    • Journal of the Korean Regional Science Association
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    • v.39 no.3
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    • pp.65-83
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    • 2023
  • The purpose of this study is to conceptually define "spatial inclusivity" and empirically examine the impact of disability severity and spatial inclusivity on social participation among individuals experiencing physical discomfort. The social and spatial environment of the residential area is crucial for individuals with disabilities who face limited activity range and complex barriers due to physical constraints. In this study, spatial inclusivity from the perspective of people with disabilities is defined as establishment of equal relationships with non-disabled individuals within the local community, as well as the availability of basic facilities and services in a safe urban space that allows for access and utilization. This concept consists of three dimensions: individual networks, social environment, and physical environment. The physical environment encompasses safety levels, natural environment, living environment, public transportation conditions, medical services in residential areas. We used the 2019 Community Health Survey to examine the relationship between disability severity, spatial inclusivity, and social participation using a two level regression model. The findings are as follows: Firstly, personal relationships at the individual level and the physical environment at the local level have a positive impact on social participation. Secondly, when identifying dividing the physical environment into five sub-factors, no significant influence of individual factors is found. Thirdly, trustworthy and friendly social environment at the local level has a negative impact on social participation. These results provide empirical evidence that spatial inclusivity has an effect on the social participation of individuals with disabilities and suggest implications for urban planning to create and enhance conditions for the social participation of individuals with disabilities.

The Last Phase of Life.Life Completion.Palliative Care Model (생의 마지막 단계.삶의 완결.완화간호 모델)

  • Kim, Dal-Sook
    • Journal of Hospice and Palliative Care
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    • v.12 no.3
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    • pp.115-121
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    • 2009
  • Despite a recent increased nation's attention given to improving end-life care, we professionals need to be more critical and reflective on our realities surrounding hospice palliative care. The aim of this paper is to suggest that palliative care models can be used for patients/families in the last phase of life and examine whether they are appropriate for caring them in congruence with philosophy of hospice. The hospice experience model (HEM) of Eagan & Labyak and the developmental model of Byock are introduced and examined for their congruence with philosophy of hospice in applying to clinical practice. The HEM as a patient/family value-directed end of life care model emphasizes three principles; unique experience of patient/family, interactions/relationships among multiple dimensions of personhood and between family, and personal growth and development in the face of suffering through a life-completion. The developmental model stipulates dying as the last stage of living, a stage of life cycle in which patients/family may have growth through life-completion in multidimensional relationships of personhood. The model includes the developmental landmarks and tasks for life-completion as the framework to guide a means of professionals' to recognize their opportunity to grow. The landmarks and tasks include worldly and social affair, individual relationships, intrapersonal, and transcendent dimension. The models could work as appropriate palliative care models for patients/families in the last stage of living. The professionals need to be encouraged to apply the models to end of life care setting.

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The Effects of Transformational Leadership of Financial Institution on Organizational Effectiveness -Focused on Mediating Effect of Education Service Quality and Moderating Effect of Trust- (금융기관 상사의 변혁적 리더십이 조직유효성에 미치는 영향 -교육서비스품질의 매개효과와 신뢰의 조절효과 중심으로-)

  • Seo, Seung-Hee;Kang, Shin-KI
    • Journal of Digital Convergence
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    • v.19 no.8
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    • pp.113-132
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    • 2021
  • This study is about the factors affecting organizational effectiveness and to suggest implications for encouraging organizational effectiveness. The conditional process model was analyzed with transformational leadership as an independent variable, educational service quality as a mediator, organizational effectiveness as a dependent variable, and trust as a moderator. The data collected from the financial institutions were analyzed using SPSS v22.0 and PROCESS macro v3.4. As a result, transformational leadership has a (+) effect on educational service quality, and educational service quality has a (+) effect on organizational effectiveness. Except for the relationship between charisma and innovative behavior, transformational leadership affect organizational effectiveness. Excluding the relationship between charisma and innovative behavior, educational service quality mediate between transformational leadership and organizational effectiveness. Trust only moderates between educational service quality and innovative behavior. Trust moderated the mediating effect of educational service quality between transformational leadership and innovative behavior. The results suggest the importance of education service quality management in a non-face-to-face working environment and the importance of individual consideration in innovative actions.

Effect of Kami-KangHwalSan on atopic dermatitis-like skin lesions induced in NC/Nga mice by mite antigen stimulation (가미강활산(加味羌活散)이 NC/Nga mice의 아토피 발진 억제에 미치는 실험적 연구)

  • Kim, Yun-Hee;Han, Jae-Kyung;Kim, Yun-Hee
    • Journal of Haehwa Medicine
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    • v.16 no.1
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    • pp.81-91
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    • 2007
  • Objective : We wished to examine closely effect that Kami-KangHwalSan medicines used to atopy dermatitis disease patient get in atopy eruption control experimentally. Materials and Methods : Atopic dermatitis (AD) usually develops in patients with an individual or family history of allergic diseases, and is characterized by chronic relapsing inflammation seen specially in childhood, association with IgE hyperproduction and precipitation by environmental factors. However, the exact etiology of AD has been unclear. To further explore the pathogenesis and treatment of AD, a suitable animal model is required. We found that skin lesions, which were chnically and histologically very simlar to human AD, mite antigen-induced dermatitis on the face, neck, ears and dorsal skin of inbred NC/Nga mice. Results and Conclusion : Kami-KangHwalSan medicines controlled CD3+/CD69+, CD4+/CD25+, B220+/IgE+, and B220+/CD23+ revelation that an experiment that motive allergy immune reponse because an in vitro experiment stimulates splenocytes of a NC/Nga mouse same t1me by PWM, and interleukin-4, eotaxin 2, CCR3, TARC mRNA outturn that bear in splenocytes decreased remarkably by Kami-KangHwalSan medicines. Th1 cell and Th2 cell observe to be shifted by secretion amount of IL-4 and IFN-$\gamma$ by Kami-KangHwalSan medicines could know that Kami-KangHwalSan medicines can use usefully in allergy autoimmnune diease.

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Effect of Jeseupwiryeongtang-Kamibang(JWRTK) on atopic dermatitis-like skin lesions induced in NC/Nga mice by mite antigen stimulation (제습위령탕가미방(除濕胃笭湯加味方)이 NC/Nga mice의 아토피 발진 억제에 미치는 실험적 연구)

  • Na, Dong-Kyu;Kim, Yun-Hee;Han, Jae-Kyung;Kim, Yun-Hee
    • Journal of Haehwa Medicine
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    • v.16 no.1
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    • pp.93-105
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    • 2007
  • Objective : We wished to examine closely effect that Kami-JeSeubUilYeongTang medicines used to atopy dermatitis disease patient get in atopy eruption control experimentally. Materials and Methods : Atopic dermatitis (AD) usually develops in patients with an individual or family history of allergic diseases, and is characterized by chronic relapsing inflammation seen specially in childhood, association with IgE hyperproduction and precipitation by environmental factors. However, the exact etiology of AD has been unclear. To further explore the pathogenesis and treatment of AD, a suitable animal model is required. We found that skin lesions, which were clinically and histologically very similar to human AD, mite antigen-induced dermatitis on the face, neck, ears and dorsal skin of inbred NC/Nga mice. Result and Conclusion : Kami-jeseupwiryeongtang(JWRTK) medicines controlled CD3+/CD69+, CD4+/CD25+, B220+/IgE+, and B220+/CD23+ revelation that an experiment that motive allergy immune reponse because an in vitro experiment stimulates splenocytes of a NC/Nga mouse same time by PWM, and interleukin-4, eotaxin 2, CCR3, TARC mRNA outturn that bear in splenocytes decreased remarkably by Jeseupwiryeongtang-Kamibang(JWRTK) medicines. Th1 cell and Th2 cell observe to be shifted by secretion amount of IL-4 and IFN-$\gamma$ by Jeseupwiryeongtang-Kamibang(JWRTK) medicines could know that Jeseupwiryeongtang-Kamibang(JWRTK) medicines can use usefully in allergy autoimmnune diease.

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A model of a relative evaluation of the transfer distance between two modes (환승센터의 두 수단간 환승거리의 상대적 적정성 평가)

  • Cha, Dong-Deuk;O, Jae-Hak;Park, Wan-Yong;Park, Seon-Bok
    • Journal of Korean Society of Transportation
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    • v.27 no.1
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    • pp.35-42
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    • 2009
  • One of the problems we face up at the time of planning or improving a transportation transfer facility is which modes and how close we have to put together. The goal here is to keep the connecting transportation mode as close as possible to the prime transit mode, so people travel a minimum transfer path, a distance from one mode to another. Too much a physical separation between modes will limit, even with an intensive improvement of the component links, the level of service of a transfer path as a whole. This study defined a transfer path as the whole stretch of the distance from an arrival point of one mode to the departure point of the connecting mode. The transfer path was divided into three typical segments as side walk, stairways, and indoor corridors. Preference surveys were made for each of these segments, resulting in relative resistance. The sum of individual segments weighted with the relative resistance will make a transfer resistance of the path, which in turn constitutes a transfer utility function together with the overall satisfaction score obtained by the interview survey. The transfer utility function has been utilized to evaluate the transfer distance between modes.

Adult Image Detection Using Skin Color and Multiple Features (피부색상과 복합 특징을 이용한 유해영상 인식)

  • Jang, Seok-Woo;Choi, Hyung-Il;Kim, Gye-Young
    • Journal of the Korea Society of Computer and Information
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    • v.15 no.12
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    • pp.27-35
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    • 2010
  • Extracting skin color is significant in adult image detection. However, conventional methods still have essential problems in extracting skin color. That is, colors of human skins are basically not the same because of individual skin difference or difference races. Moreover, skin regions of images may not have identical color due to makeup, different cameras used, etc. Therefore, most of the existing methods use predefined skin color models. To resolve these problems, in this paper, we propose a new adult image detection method that robustly segments skin areas with an input image-adapted skin color distribution model, and verifies if the segmented skin regions contain naked bodies by fusing several representative features through a neural network scheme. Experimental results show that our method outperforms others through various experiments. We expect that the suggested method will be useful in many applications such as face detection and objectionable image filtering.

Multi-level Analysis of the Antecedents of Knowledge Transfer: Integration of Social Capital Theory and Social Network Theory (지식이전 선행요인에 관한 다차원 분석: 사회적 자본 이론과 사회연결망 이론의 결합)

  • Kang, Minhyung;Hau, Yong Sauk
    • Asia pacific journal of information systems
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    • v.22 no.3
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    • pp.75-97
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    • 2012
  • Knowledge residing in the heads of employees has always been regarded as one of the most critical resources within a firm. However, many tries to facilitate knowledge transfer among employees has been unsuccessful because of the motivational and cognitive problems between the knowledge source and the recipient. Social capital, which is defined as "the sum of the actual and potential resources embedded within, available through, derived from the network of relationships possessed by an individual or social unit [Nahapiet and Ghoshal, 1998]," is suggested to resolve these motivational and cognitive problems of knowledge transfer. In Social capital theory, there are two research streams. One insists that social capital strengthens group solidarity and brings up cooperative behaviors among group members, such as voluntary help to colleagues. Therefore, social capital can motivate an expert to transfer his/her knowledge to a colleague in need without any direct reward. The other stream insists that social capital provides an access to various resources that the owner of social capital doesn't possess directly. In knowledge transfer context, an employee with social capital can access and learn much knowledge from his/her colleagues. Therefore, social capital provides benefits to both the knowledge source and the recipient in different ways. However, prior research on knowledge transfer and social capital is mostly limited to either of the research stream of social capital and covered only the knowledge source's or the knowledge recipient's perspective. Social network theory which focuses on the structural dimension of social capital provides clear explanation about the in-depth mechanisms of social capital's two different benefits. 'Strong tie' builds up identification, trust, and emotional attachment between the knowledge source and the recipient; therefore, it motivates the knowledge source to transfer his/her knowledge to the recipient. On the other hand, 'weak tie' easily expands to 'diverse' knowledge sources because it does not take much effort to manage. Therefore, the real value of 'weak tie' comes from the 'diverse network structure,' not the 'weak tie' itself. It implies that the two different perspectives on strength of ties can co-exist. For example, an extroverted employee can manage many 'strong' ties with 'various' colleagues. In this regards, the individual-level structure of one's relationships as well as the dyadic-level relationship should be considered together to provide a holistic view of social capital. In addition, interaction effect between individual-level characteristics and dyadic-level characteristics can be examined, too. Based on these arguments, this study has following research questions. (1) How does the social capital of the knowledge source and the recipient influence knowledge transfer respectively? (2) How does the strength of ties between the knowledge source and the recipient influence knowledge transfer? (3) How does the social capital of the knowledge source and the recipient influence the effect of the strength of ties between the knowledge source and the recipient on knowledge transfer? Based on Social capital theory and Social network theory, a multi-level research model is developed to consider both the individual-level social capital of the knowledge source and the recipient and the dyadic-level strength of relationship between the knowledge source and the recipient. 'Cross-classified random effect model,' one of the multi-level analysis methods, is adopted to analyze the survey responses from 337 R&D employees. The results of analysis provide several findings. First, among three dimensions of the knowledge source's social capital, network centrality (i.e., structural dimension) shows the significant direct effect on knowledge transfer. On the other hand, the knowledge recipient's network centrality is not influential. Instead, it strengthens the influence of the strength of ties between the knowledge source and the recipient on knowledge transfer. It means that the knowledge source's network centrality does not directly increase knowledge transfer. Instead, by providing access to various knowledge sources, the network centrality provides only the context where the strong tie between the knowledge source and the recipient leads to effective knowledge transfer. In short, network centrality has indirect effect on knowledge transfer from the knowledge recipient's perspective, while it has direct effect from the knowledge source's perspective. This is the most important contribution of this research. In addition, contrary to the research hypothesis, company tenure of the knowledge recipient negatively influences knowledge transfer. It means that experienced employees do not look for new knowledge and stick to their own knowledge. This is also an interesting result. One of the possible reasons is the hierarchical culture of Korea, such as a fear of losing face in front of subordinates. In a research methodology perspective, multi-level analysis adopted in this study seems to be very promising in management research area which has a multi-level data structure, such as employee-team-department-company. In addition, social network analysis is also a promising research approach with an exploding availability of online social network data.

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Exploring Changes in Multi-ethnic Students' Mathematics Achievement Motivation : A Longitudinal Study using Expectancy-Value Theory (다문화가정 학생의 수학학업성취 동기 변화 연구: 기대가치 이론에 따른 종단연구)

  • Cho, Eunhye;Hwang, Sunghwan
    • The Mathematical Education
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    • v.58 no.1
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    • pp.101-120
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    • 2019
  • The goal of this study was to apply an expectancy-value model(Wigfield & Eccles, 2000) to explain changes in six multi-ethnic students' achievement motivation in mathematics during sixth (2012) to eighth (2014) grades. In order to achieve this goal, we used narrative research methods. Although individual students' achievement motivation and mathematics related life experiences differed, there are some common factors influencing their motivation development, especially (a) roles played by parents and teachers; (b) assessment of peers' competencies; (c) past learning experiences related to mathematics curriculum; (d) perception of the relationship between mathematics competency and other subjects; (e) home backgrounds; and (f) perceived task values. In this study, we achieved some insight into why some multi-ethnic students are willing to study hard to get good scores while others are uninterested in mathematics, and why some multi-ethnic students are likely to pursue new mathematical tasks and persist despite challenges, while others easily give up studying mathematics in the face of adversity. We argue that in order to increase and sustain multi-ethnic students' achievement motivation, educators and parents should recognize that motivation is contextually formulated in the intersection of current people, time, and space, not a personal entity formed in an individual's mind. The findings of this study shed light on the development of achievement motivation and can inform efforts to develop multi-ethnic students' positive motivation, which might influence their mathematics achievement and success in school.

The Audience Behavior-based Emotion Prediction Model for Personalized Service (고객 맞춤형 서비스를 위한 관객 행동 기반 감정예측모형)

  • Ryoo, Eun Chung;Ahn, Hyunchul;Kim, Jae Kyeong
    • Journal of Intelligence and Information Systems
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    • v.19 no.2
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    • pp.73-85
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    • 2013
  • Nowadays, in today's information society, the importance of the knowledge service using the information to creative value is getting higher day by day. In addition, depending on the development of IT technology, it is ease to collect and use information. Also, many companies actively use customer information to marketing in a variety of industries. Into the 21st century, companies have been actively using the culture arts to manage corporate image and marketing closely linked to their commercial interests. But, it is difficult that companies attract or maintain consumer's interest through their technology. For that reason, it is trend to perform cultural activities for tool of differentiation over many firms. Many firms used the customer's experience to new marketing strategy in order to effectively respond to competitive market. Accordingly, it is emerging rapidly that the necessity of personalized service to provide a new experience for people based on the personal profile information that contains the characteristics of the individual. Like this, personalized service using customer's individual profile information such as language, symbols, behavior, and emotions is very important today. Through this, we will be able to judge interaction between people and content and to maximize customer's experience and satisfaction. There are various relative works provide customer-centered service. Specially, emotion recognition research is emerging recently. Existing researches experienced emotion recognition using mostly bio-signal. Most of researches are voice and face studies that have great emotional changes. However, there are several difficulties to predict people's emotion caused by limitation of equipment and service environments. So, in this paper, we develop emotion prediction model based on vision-based interface to overcome existing limitations. Emotion recognition research based on people's gesture and posture has been processed by several researchers. This paper developed a model that recognizes people's emotional states through body gesture and posture using difference image method. And we found optimization validation model for four kinds of emotions' prediction. A proposed model purposed to automatically determine and predict 4 human emotions (Sadness, Surprise, Joy, and Disgust). To build up the model, event booth was installed in the KOCCA's lobby and we provided some proper stimulative movie to collect their body gesture and posture as the change of emotions. And then, we extracted body movements using difference image method. And we revised people data to build proposed model through neural network. The proposed model for emotion prediction used 3 type time-frame sets (20 frames, 30 frames, and 40 frames). And then, we adopted the model which has best performance compared with other models.' Before build three kinds of models, the entire 97 data set were divided into three data sets of learning, test, and validation set. The proposed model for emotion prediction was constructed using artificial neural network. In this paper, we used the back-propagation algorithm as a learning method, and set learning rate to 10%, momentum rate to 10%. The sigmoid function was used as the transform function. And we designed a three-layer perceptron neural network with one hidden layer and four output nodes. Based on the test data set, the learning for this research model was stopped when it reaches 50000 after reaching the minimum error in order to explore the point of learning. We finally processed each model's accuracy and found best model to predict each emotions. The result showed prediction accuracy 100% from sadness, and 96% from joy prediction in 20 frames set model. And 88% from surprise, and 98% from disgust in 30 frames set model. The findings of our research are expected to be useful to provide effective algorithm for personalized service in various industries such as advertisement, exhibition, performance, etc.