• Title/Summary/Keyword: 개인 속성

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Temporal Pattern Mining of Moving Objects for Location based Services (위치 기반 서비스를 위한 이동 객체의 시간 패턴 탐사 기법)

  • Lee, Jun-Uk;Baek, Ok-Hyeon;Ryu, Geun-Ho
    • Journal of KIISE:Databases
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    • v.29 no.5
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    • pp.335-346
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    • 2002
  • LBS(Location Based Services) provide the location-based information to its mobile users. The primary functionality of these services is to provide useful information to its users at a minimum cost of resources. The functionality can be implemented through data mining techniques. However, conventional data mining researches have not been considered spatial and temporal aspects of data simultaneously. Therefore, these techniques are inappropriate to apply on the objects of LBS, which change spatial attributes over time. In this paper, we propose a new data mining technique for identifying the temporal patterns from the series of the locations of moving objects that have both temporal and spatial dimension. We use a spatial operation of contains to generalize the location of moving point and apply time constraints between the locations of a moving object to make a valid moving sequence. Finally, the spatio-temporal technique proposed in this paper is very practical approach in not only providing more useful knowledge to LBS, but also improving the quality of the services.

Decision Tree Techniques with Feature Reduction for Network Anomaly Detection (네트워크 비정상 탐지를 위한 속성 축소를 반영한 의사결정나무 기술)

  • Kang, Koohong
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.29 no.4
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    • pp.795-805
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    • 2019
  • Recently, there is a growing interest in network anomaly detection technology to tackle unknown attacks. For this purpose, diverse studies using data mining, machine learning, and deep learning have been applied to detect network anomalies. In this paper, we evaluate the decision tree to see its feasibility for network anomaly detection on NSL-KDD data set, which is one of the most popular data mining techniques for classification. In order to handle the over-fitting problem of decision tree, we select 13 features from the original 41 features of the data set using chi-square test, and then model the decision tree using TensorFlow and Scik-Learn, yielding 84% and 70% of binary classification accuracies on the KDDTest+ and KDDTest-21 of NSL-KDD test data set. This result shows 3% and 6% improvements compared to the previous 81% and 64% of binary classification accuracies by decision tree technologies, respectively.

The Effects of Product Attributes, Brand and Corporate's Images on Consumer's Purchasing Intension - Focusing on Chinese Cellular Phone Markets in 9 Areas - (제품속성, 브랜드 및 기업 이미지가 소비자의 구매의도에 미치는 영향 -중국 9개 지역의 휴대폰시장을 중심으로-)

  • Jin, Cheng-Zhe;Park, Eui-Burm
    • International Area Studies Review
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    • v.12 no.3
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    • pp.367-390
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    • 2008
  • The Chinese cellular phone markets growth has the character which is two-sided gives the chance and threat in Korean mobile communication industry. This also demands the localization of the international marketing strategies which establishes in grasp of consumer consuming propensity and purchase intention. It is the goal that provides a strategic current point to the Korean enterprise which enter to China. To observe a test of hypothesis results concretely from empirical analysis with after words is same. The hypothesis 1, 'corporate image really will plus affect(+) in purchase intention' the hypothesis was adopted. The hypothesis 2, 'brand image really will plus affect(+) in purchase intention' also the hypothesis was adopted. The hypothesis 3, 'product attributes really will plus affect(+) in purchase intention' also the hypothesis was adopted. The other research hypothesis which sex and age were rejected, school was adopted partially, others was adopted. When about the consumer who is used from empirical analysis measurement items in the center application presents the strategies which is possible in fact.

A Methodology for Finding the Convergence Research Area by Measuring Convergence Index in Government Research Institutes (융합지수 측정을 통한 출연연 융합연구영역 발굴모형 연구)

  • Coh, Byoung-Youl;Kim, So-Young;Lee, Jae-Min
    • Journal of Korea Technology Innovation Society
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    • v.22 no.3
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    • pp.446-474
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    • 2019
  • In conjunction with securing R&D competitiveness through technology convergence, there is a growing interest in the strategy to derive innovation based on the measurement of convergence. In this paper, we present a data-based model that suggests convergence strategies for the research projects of government research institutes (GRIs) in Korea. The convergence characteristics of the research projects are represented by inherent attributes of technology and behavioral attributes of actors. The measuring process of the proxy variables (Rao-Stirling and Herfindahl-Hirschman Indices) for each attributes are proposed. These two indices are used to construct the convergence diagram, through which the research projects of GRIs are distributed into four areas: AllianceIntra, Alliance-Inter, Competition, Mission-Oriented. Based on the convergence diagram proposed in this study the convergence index is measured to derive 30 convergence research areas of GRIs. As a result, we expect to provide appropriate guidelines for setting the policy direction of the convergence research projects.

Professionalism of the Nurse: A Concept Analysis (간호사의 전문성에 대한 개념분석)

  • Lee, Kyungmi;Kim, Su Hyun
    • Journal of Convergence for Information Technology
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    • v.9 no.9
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    • pp.94-107
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    • 2019
  • This study was aimed to clarify the concept of professionalism of the nurse. Walker and Avant's concept analysis process was used. The main attributes of professionalism of the nurse were advanced nursing knowledge, excellent nursing skill, person-centered nursing care, ethicality, responsibility, peer cooperation, autonomy, and outstanding situational judgement, and problem solving. The antecedents were a long enough period of nursing education and experience, research activities, personal qualities, and self-directed training. The consequences were improvement of professional identity and low turnover rates of nurses; improvement of nursing satisfaction, health recovery and well-being for patients; improvement of nursing quality, revenue, and reputation for hospital; gaining social recognition and development of nursing profession; obtaining financial benefits in national health care for nation. The findings of the study provide clarification of the concept of professionalism of the nurse and lay the foundation to establish professionalism among nurses to deliver good nursing care.

Thwarted belongingness: Concept Analysis (좌절된 소속감의 개념분석)

  • Kim, Su-Hyun
    • Journal of the Korea Convergence Society
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    • v.12 no.4
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    • pp.359-367
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    • 2021
  • The purpose of this study is conceptual analysis study on the thwarted belongingness, and was based on the conceptual analysis method of Walker & Avant to make clear concept. Thwarted belongingness can be defined by the following attributes: distorted beliefs, insufficient need to belong, a sense of alienation, and insufficient interaction and affection needs. The prerequisites for thwarted belongingness were social isolation, experiences of exclusion or conflict in interpersonal relationships, perfectionist tendencies, and sensitivity to rejection. The consequences occurring as a result of thwarted belongingness were suicidal ideation, decreased happiness and life satisfaction, negative emotions such as anxiety about rejection, depression, shame, loneliness, stress or anger, aggression, hostility and self-criticism, despair, suppression of emotional expression, lethargy, self-exclusion from relationships, and identity confusion. This study is valuable to identify the extent of preventable nursing interventions related to individual mental health and suicidal ideation related to interpersonal relationships, and suggests future tool development and field studies of thwarted belongingness.

Research on the Influence of Chocolate Packaging Design on Consumers' Purchase Conditions (초콜릿 패키지 디자인이 소비자 구매 조건에 미치는 영향에 관한 연구)

  • Zhang, Xiao;Jang, Chung-Gun
    • Journal of the Korea Convergence Society
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    • v.12 no.11
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    • pp.247-256
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    • 2021
  • With the continuous progress and development of the social economy, the importance of commodity packaging is increasingly manifested. It has become an important form of communication between businesses and consumers, and an important means of competition between businesses. The research scope of the thesis: First, through literature investigation, analyze the function of packaging design and consumers' buying attitude, and analyze the name, color, logo, illustration, etc. for general chocolate packaging and travel souvenir chocolate packaging. Research method: Through questionnaire survey, according to consumers' purchasing attitude and personal value of package design, we have in-depth understanding of consumers' purchasing power and package design's influence on purchasing conditions and research. According to the results of this study, first, from the perspective of general chocolate packaging and travel souvenir chocolate packaging to consumer consumption phenomena, general chocolate is more popular. Second, when consumers buy products, the taste of chocolate is more important than product packaging design. Third, in each product group, consumers value their own value when buying chocolate products. Fourth, due to the two important attributes of packaging design and taste, ordinary chocolate has a higher purchase intention than travel souvenir chocolate.

Analysis of Medical Images Using EM-based Relationship Method (EM기반 관계기법을 이용한 의료영상 분석)

  • Kim, Hyung-Il
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.12
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    • pp.191-199
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    • 2009
  • The integrated medical information system is an effective medical diagnosis assistance system which offers an environment in which medial images and diagnosis information can be shared. Because of the large-scale medical institutions and their cooperating organizations are operating the integrated medical information systems, they can share medical images and diagnosis information. However, this system can only stored and transmitted information without other functions. To resolve this problem and to enhance the efficiency of diagnostic activities, a medical image analysis system is necessary. In this paper, the proposed relationship method analyzes medical images for features generation. Under this method, the medical images have been segmented into several objects. The medical image features have been extracted from each segmented image. Then, extracted features were applied to the Relationship Method for medical image analysis. Several experimental results that show the effectiveness of the proposed method are also presented.

Attribution Style of the North Korean Defectors: A Research through Comparison with South Korean People (북한이탈주민의 귀인 양식: 남한주민과의 비교를 중심으로)

  • Jung-Min Chae
    • Korean Journal of Culture and Social Issue
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    • v.12 no.3
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    • pp.1-22
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    • 2006
  • This study is performed to identify attribution styles of the North Korean Defectors more accurately. For this purpose, cartoon-form method designed to measure attributions is used and total 129 subjects including comparison group of South Koreans are participated in this research. Interestingly, the result showed that two groups had similar and different attribution styles at the same time. That is, there is a common aspect in using internal attributions more in general, but there is also a different aspect in that South Koreans used internal attribution much more. These tendencies emerged similarly at the controllable and uncontrollable attribution dimension. However, the results demonstrated that South Koreans mainly used stable attribution and the North Korean Defectors used unstable attribution at the stable and unstable attribution dimension. And, the attributional styles of both koreans appeared consistently in a variety of scenarios. Finally, there was the stronger relationship between North Korean defectors' life satisfaction and attributional styles.

Gaze-Manipulated Data Augmentation for Gaze Estimation With Diffusion Autoencoders (디퓨전 오토인코더의 시선 조작 데이터 증강을 통한 시선 추적)

  • Kangryun Moon;Younghan Kim;Yongjun Park;Yonggyu Kim
    • Journal of the Korea Computer Graphics Society
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    • v.30 no.3
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    • pp.51-59
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    • 2024
  • Collecting a dataset with a corresponding labeled gaze vector requires a high cost in the gaze estimation field. In this paper, we suggest a data augmentation of manipulating the gaze of an original image, which improves the accuracy of the gaze estimation model when the number of given gaze labels is restricted. By conducting multi-class gaze bin classification as an auxiliary task and adjusting the latent variable of the diffusion model, the model semantically edits the gaze from the original image. We manipulate a non-binary attribute, pitch and yaw of gaze vector to a desired range and uses the edited image as an augmented train data. The improved gaze accuracy of the gaze estimation network in the semi-supervised learning validates the effectiveness of our data augmentation, especially when the number of gaze labels is 50k or less.