• Title/Summary/Keyword: Behavior Semantic

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A Study of a Semantic Web Driven Architecture in Information Retrieval: Developing an Exploratory Discovery Model Using Ontology and Social Tagging (정보검색의 시맨틱웹 지향 설계에 관한 연구 - 온톨로지와 소셜태깅을 활용한 탐험적 발견행위 모델개발을 중심으로 -)

  • Cho, Myung-Dae
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.21 no.3
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    • pp.151-163
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    • 2010
  • It is necessary, due to changes in the information environment, to investigate problems in existing information retrieval systems. Ontologies and social tagging, which are a relatively new means of information organization, enable exploratory discovery of information. These two connect a thought of a user with the thoughts of numerous other people on the Internet. With these connection chains through the interactions, users are foraging information actively and exploratively. Thus, the purpose of this study is, through qualitative research methods, to identify numerous discovery facilitators provided by ontologies and social tagging, and to create an exploratory discovery model based on them. The results show that there are three uppermost categories in which 5, 4 and 4 subcategories are enumerated respectively. The first category, 'Browsing and Monitoring,' has 5 sub categories: Noticing the Needs, Being Aware, Perceiving, Stopping, and Examining a Resource. The second category, Actively Participating, has 4 categories: Constructing Meaning, Social Bookmarking and Tagging, Sharing on Social Networking, Specifying the Original Needs. The third category, Actively Extends Thinking, also has 4 categories: Social Learning, Emerging Fortuitous Discovery, Creative Thinking, Enhancing Problem Solving Abilities. This model could contribute to the design of information systems, which enhance the ability of exploratory discovery.

A Semantic Analysis on the Research Trend of International Arts Management (언어네트워크분석을 활용한 해외 예술경영 연구동향 연구)

  • Shim, Dahee;Park, Yang Woo
    • Korean Association of Arts Management
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    • no.49
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    • pp.5-35
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    • 2019
  • The main purpose of this study was to use semantic network analysis to examine the international trend of arts management and other studies pertinent to this field. The subject was based on 357 keywords listed on the abstract of 185 research papers in the International Journal of Arts Management. To examine the most current trends of arts management based studies the time frame was restricted from 2008 to 2017. To briefly summarize the result, first, 'museum' was the most frequently appeared keyword. This was followed by 'performing arts' and 'arts' with more than 20 appearances. 'Motion picture industry' and 'theater' were the next frequently appeared keywords. 'Customer behavior' and 'market strategy', keywords related to management, were also included in the high ranked group along with art related keywords. Second, yearly research trend shows that arts management has been regularly studied for past ten years with average of 19 research papers with about 53 keywords. Keywords such as 'museum' and 'performing arts' has been regularly studied for past ten years. 'Culture', 'theater' and 'motion pictures industry' does not regularly appear in the result of yearly research trend but nevertheless they have sparsely made an appearance along the past decade. 'Art gallery' has not been cited till 2011 but from 2012 it was regularly and continuously made an appearance in the yearly research trend. Overall, the yearly trend result shows that the trend of international arts management studies within IJAM, was at first centered on fine arts but as the time passed there has been diversified keywords related to management. Third, 'performing art' and 'art' has the highest link frequency(34). Fourth, density result was 0.039 which shows that the keyword density is not very high. Fifth, 'art', 'performing art', 'museum', 'theater' and 'brand' were positioned in the middle when looking at the visualized version of centrality result. This means that these five keywords has the highest centrality among other keywords.

Specification-based Program Slicing and Its Applications (명세 기반 프로그램 슬라이싱 기법과 응용)

  • Chung, In-Sang;Yoon, Gwang-Sik;Lee, Wan-Kwon;Kwon, Yong-Rae
    • Journal of KIISE:Software and Applications
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    • v.29 no.8
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    • pp.529-542
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    • 2002
  • More precise program slices could be obtained by considering the semantic relations between variables of interest, compared to the existing slicing techniques considering only the syntactic relations. In this paper, we present specification-based slicing that allows a better decomposition of the program by taking a specification as its slicing criterion. A specification-based slice consists of a subset of program statements which preserve the behavior and the correctness of the original Program with respect to a specification given by a pre-postcondition pair. Because specification-based slicing enables one to focus attention on only those program statements which realize the functional abstraction specified by the given specification, it can be widely used in many software engineering areas. Of its possible applications, we show how specification-based slicing can improve the Process for extracting reusable parts from existing programs and restructuring complex programs for better maintainability.

An Approach Toward Image Access Points based on Image Needs in Context of Everyday Life (일상생활 맥락 정보요구 기반의 이미지 접근점 확장에 관한 연구)

  • Chung, EunKyung;Chung, SunYoung
    • Journal of the Korean Society for information Management
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    • v.29 no.4
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    • pp.273-294
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    • 2012
  • Images have been substantially searched and used due to not only the advanced internet and digital technologies but the characteristics of a younger generation. The purpose of this study aims to discuss the ways on expanding the access points to images by analyzing the needs of users in context of everyday life. In order to achieve the purpose of this study, 105 questions of image seeking in NAVER, which is one of social Q&A services in Korea, were analyzed. For the analysis, a two-dimensional framework with image uses and image attributes were utilized. The findings of this study demonstrate that considerable use purposes on data oriented pole, such as information processing, information dissemination and learning are identified. On the other hand, image attributes from the needs of image show that non-visual aspects including contextual attributes are recognized substantially in addition to the traditional semantic attributes.

Prediction of Pain Expression Using the Extended Gate Control Theory of Pain and Fishbein′s Model (관문통제동통이론과 FISHBEIN의 모델을 이용한 동통표현 예견에 대한 연구)

  • 이은옥
    • Journal of Korean Academy of Nursing
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    • v.13 no.2
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    • pp.1-21
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    • 1983
  • The purposes of this study were to(a) develop theoretical modifications of the extended gate control theory of pain using Fishbein's model and(b) test the efficacy of these modifications. Attitude, social subjective norm, personal subjective norm, habit and state anxiety were operationalized to represent internal stimuli for the cognitive-evaluative and motivational-affective dimensions of the theory. Pain expression was operationalized as sensory and affective responses to pain, and pain endurance. Sixty-two female nurses from 20 to 50 years of age participated. A semantic differential scale measured attitude and motivations to comply; a Likerty-type scale measured personal and social norms and habit. Spielberger's STAI measured state anxiety, Pain was produced using a modified submaximum effort tourniquet technique. Pair expression was measured using ratio scales of sensory intensity and unpleasantness developed by Gracely and his associates. Pain endurance was measured by subtracting time of pain threshold from pain tolerance. The first hypothesis examining whether pain endurance would be more significantly related to the affective response than to the sensory response was net rejected. Four remaining hypotheses, testing the ability of the five variables to predict the sensory and affective responses were not rejected. However, the habit of pain expression and the attitude toward pain expression contributed to the prediction of both sensory and affective responses to pain. The interaction between the cognitive-evaluative and the sensory-discriminative dimensions and the interaction between the cognitive-evaluative and motivational-affective dimensions were partially supported by the data from these two variables. The interaction between the motivational-affective and the sensory-discriminative dimensions was also supported by the relationship of sensory to affective responses. The variables which did not significantly predict pain expression appeared to have potential for prediction. Revision and testing of the tools for better reliability, validity, and clinical usuability are needed. The study contributed to theory building. The identification of variables which pre-dict pain behavior must occur before effective nursing interventions can be developed.

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Unsupervised Motion Learning for Abnormal Behavior Detection in Visual Surveillance (영상감시시스템에서 움직임의 비교사학습을 통한 비정상행동탐지)

  • Jeong, Ha-Wook;Chang, Hyung-Jin;Choi, Jin-Young
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.48 no.5
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    • pp.45-51
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    • 2011
  • In this paper, we propose an unsupervised learning method for modeling motion trajectory patterns effectively. In our approach, observations of an object on a trajectory are treated as words in a document for latent dirichlet allocation algorithm which is used for clustering words on the topic in natural language process. This allows clustering topics (e.g. go straight, turn left, turn right) effectively in complex scenes, such as crossroads. After this procedure, we learn patterns of word sequences in each cluster using Baum-Welch algorithm used to find the unknown parameters in a hidden markov model. Evaluation of abnormality can be done using forward algorithm by comparing learned sequence and input sequence. Results of experiments show that modeling of semantic region is robust against noise in various scene.

Effects of a Maternal Role Adjustment Program on First-time Mothers (초산모를 위한 모성역할적응 프로그램의 효과)

  • Kim, Su Jeong;Seo, Ji Min
    • Women's Health Nursing
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    • v.24 no.3
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    • pp.322-332
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    • 2018
  • Purpose: To investigate the effect of a maternal role adjustment program on first-time mothers. Methods: The research was quasi-experimental with a non-equivalent control group non-synchronized design. Participants were first-time mothers admitted to two postpartum clinics at women's hospitals. The experimental group had 38 mothers and the control group had 35 mothers. A maternal role adjustment program was applied individually to the experimental group between the 1st and 2nd weeks after childbirth. Assessing Adaptation to Motherhood, Semantic Differential Scale-Myself as Mother, and Edinburgh Postnatal Depression Scale were used to measure effects of the program. A pre-test was conducted in the 1st week after childbirth while post-tests were conducted in the 4th and 6th weeks. Data were analyzed with $x^2$ test, Fisher's exact test, t-test, and repeated measures ANOVA using SPSS 24.0. Results: Maternal role adjustment (F=6.17, p=.015) and maternal identity (F=6.63, p=.012) were significantly increased in the experimental group compared to those in the control group. However, the difference in postpartum depression (F=1.11, p=.335) was not statistically significant between the two groups. Conclusions: The maternal role adjustment program can be utilized as an effective nursing intervention program to enhance maternal role adjustment and maternal identity for first-time mothers.

Use Case Identification Method based on Goal oriented Requirements Engineering(GoRE) (Goal 지향 요구공학 기반의 유스케이스 식별 방법)

  • Park, Bokyung;Kim, R. Youngchul
    • KIPS Transactions on Software and Data Engineering
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    • v.3 no.7
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    • pp.255-262
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    • 2014
  • Our previous research[1] suggested object extraction and modeling method based on Fillmore's case grammar. This approach had not considered of use case extraction and method. To solve this problem, we adopt Fillmore's semantic method as linguistic approach into requirement engineering, which refine fillmore's case grammar for extracting and modeling use cases from customer requirements. This Refined mechanism includes the definition of a structured procedure and the representation of visual notations for 'case' modeling. This paper also proposes the use case decision matrix to identify use case size from extracted use cases based on goal oriented requirement engineering(GoRE), which related with the complexity of use case, and also prioritizes the use cases with this matrix. It demonstrates our proposal with the bank ATM system.

Samulnori Musicians' Experiences of Object Relations With Their Instruments (사물놀이 연주자의 악기 대상관계 경험)

  • Kim, Cheonsa;Kim, Kyoungsuk
    • Journal of Music and Human Behavior
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    • v.18 no.2
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    • pp.87-107
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    • 2021
  • The purpose of this research was to explore the phenomenon of object relations with musical instruments as experienced by professional Samulnori musicians. The researcher conducted in-depth individual interviews with five Samulnori players who also completed questionnaires with open-ended questions. The data were analyzed using Giorgi(2004)'s phenomenological methodology. The results offered 121 semantic units, seven subcategories, and three main categories. The three main categories were transitional object, object of expression and recognition of internal desires, and object for recognition of others and communication. These results suggest that the ensemble format of Samulnori promotes the development of the musician's object relationship and can externalize the player's internalized representational system and interaction method. This study is significant in that it reveals the endopsychic functional relationship between a musician and their instrument and provides the basis for the use of Samulnori instruments in music therapy.

Influences of Autonomic Function, Salivary Cortisol and Physical Activity on Cognitive Functions in Institutionalized Older Adults with Mild Cognitive Impairment: Based on Neurovisceral Integration Model (요양병원에 입원한 경도 인지장애 노인의 자율신경 기능, 타액 코티졸과 신체활동 정도가 인지기능에 미치는 영향: Neurovisceral Integration Model 기반)

  • Suh, Minhee
    • Journal of Korean Academy of Nursing
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    • v.51 no.3
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    • pp.294-304
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    • 2021
  • Purpose: This study aimed to investigate objectively measured physical activity (PA) in institutionalized older adults with mild cognitive impairment (MCI) and to elucidate the influence of autonomic nervous function, salivary cortisol, and PA on cognitive functions based on neurovisceral integration model. Methods: Overall cognitive function was evaluated using the mini-mental state examination (MMSE) and executive function was evaluated using semantic verbal fluency test and clock drawing test. Actigraph for PA, HRV and sAA for autonomous function, and the geriatric depression scale for depression were used. Saliva specimens were collected in the morning for sAA and cortisol. Results: Ninety-eight older adults from four regional geriatric hospitals participated in the study. They took 4,499 steps per day on average. They spent 753.93 minutes and 23.12 minutes on average in sedentary and moderate-to-vigorous activity, respectively. In the multiple regression analysis, lower salivary cortisol level (β = - .33, p = .041) and greater step counts (β = .37, p = .029) significantly improved MMSE score. Greater step count (β = .27, p = .016) also exerted a significant influence on verbal fluency, and greater sAA (β= .35, p = .026) was significantly associated with a better clock drawing test result. Conclusion: Salivary cortisol, sAA and physical activity were significantly associated with cognitive functions. To prevent older adults from developing dementia, strategies are needed to increase their overall PA amount by decreasing sedentary time and to decrease salivary cortisol for cognitive function, and to maintain their sympathetic nervous activity for executive function.