• Title/Summary/Keyword: Hierarchical Order

Search Result 1,220, Processing Time 0.032 seconds

Design and Implementation of Information Retrieval System Based on Ontology Using Semantic Web (시맨틱 웹을 이용한 온톨로지 기반의 정보검색 시스템 설계 및 구현)

  • Seo, Woo-Jin;Rhyu, Kyeong-Taek
    • Journal of Digital Convergence
    • /
    • v.17 no.1
    • /
    • pp.209-217
    • /
    • 2019
  • In this paper, the purpose of this paper is to lay the foundation for the search system by using and building an online search engine suitable for the search domain and enabling search, conversion, integration and sharing of information. It is to use the ontology to infer hierarchical relationships, deduce objects based on that layer, and extract attributes to search areas that are relevant to the data that the user wants. In order to search for information in this way, the information search system was implemented by entering key words related to 'qualifications'. The implemented system arranged the meaning and relationship of each attribute online so that the general public can search information quickly, easily, and accurately. In addition, the implementation results were compared with two different search engines. Comparable search engines are Naver and Daum, the two major search engines. The search engine of this study, which was built using an ontology suitable for the search domain to perform searches using the semantic web, was evaluated to have excellent results. However, it is thought that a more formalized online location is necessary to increase the accuracy and reliability of search engines and to include more comprehensive categories of search terms.

A Noise-Tolerant Hierarchical Image Classification System based on Autoencoder Models (오토인코더 기반의 잡음에 강인한 계층적 이미지 분류 시스템)

  • Lee, Jong-kwan
    • Journal of Internet Computing and Services
    • /
    • v.22 no.1
    • /
    • pp.23-30
    • /
    • 2021
  • This paper proposes a noise-tolerant image classification system using multiple autoencoders. The development of deep learning technology has dramatically improved the performance of image classifiers. However, if the images are contaminated by noise, the performance degrades rapidly. Noise added to the image is inevitably generated in the process of obtaining and transmitting the image. Therefore, in order to use the classifier in a real environment, we have to deal with the noise. On the other hand, the autoencoder is an artificial neural network model that is trained to have similar input and output values. If the input data is similar to the training data, the error between the input data and output data of the autoencoder will be small. However, if the input data is not similar to the training data, the error will be large. The proposed system uses the relationship between the input data and the output data of the autoencoder, and it has two phases to classify the images. In the first phase, the classes with the highest likelihood of classification are selected and subject to the procedure again in the second phase. For the performance analysis of the proposed system, classification accuracy was tested on a Gaussian noise-contaminated MNIST dataset. As a result of the experiment, it was confirmed that the proposed system in the noisy environment has higher accuracy than the CNN-based classification technique.

Different Heterogeneous IoT Data Management Techniques for IoT Cloud Environments (IoT 클라우드 환경을 위한 서로 다른 이기종의 IoT 데이터 관리 기법)

  • Cho, Sung-Nam;Jeong, Yoon-Su
    • Journal of Convergence for Information Technology
    • /
    • v.10 no.12
    • /
    • pp.15-21
    • /
    • 2020
  • Although IoT systems are used in a variety of heterogeneous environments as cloud environments develop, all IoT devices are not provided with reliable protocols and services. This paper proposes an IoT data management technique that can extend the IoT cloud environment to an n-layer multi-level structure so that information collected from different heterogeneous IoT devices can be efficiently sorted and processed. The proposed technique aims to classify and process IoT information by transmitting routing information and weight information through wireless data link data collected from heterogeneous IoT devices. The proposed technique not only delivers information classified from IoT devices to the corresponding routing path but also improves the efficiency of IoT data processing by assigning priority according to weight information. The IoT devices used in the proposed technique use each other's reliable protocols, and queries for other IoT devices locally through a local cloud composed of hierarchical structures have features that ensure scalability because they maintain a certain cost.y channels of IoT information in order to make the most of the multiple antenna technology.

Policy Compliance and Smoking related Behavior Change in a Smoke-free Apartment (금연 공동주택 주민들의 정책 순응도와 흡연 관련 행태 변화)

  • Cho, Hoosun;Kim, Eunsu;Nam, Hae-Sung
    • Journal of agricultural medicine and community health
    • /
    • v.45 no.4
    • /
    • pp.221-234
    • /
    • 2020
  • Objectives: The purpose of this study is to identify the policy compliance according to the socio-demographic characteristics, stress, satisfaction of relationship, Health Belief Model and characteristics of smoking behaviors and knowledge related smoking of the residents living in the Smoke-free apartment and to investigate the change of the smoking related behavior before and after the implementation of the policy. Methods: The subjects of the survey were 293 residents aged 19 or older who reside in apartments six months after the designation of Smoke-free apartment located in Daejeon. All collected data were analyzed using T-test, ANOVA and Hierarchical multiple regression of SPSS for windows(ver 24.0) program. Results: The policy compliance was higher in women and those who lived for less than two years, and non-smokers were significantly higher. The policy compliance of the whole subjects was related to satisfaction with the surrounding relationship, perceived disability about smoking cessation, frequency of smoking and the amount of smoking. The policy compliance of the whole subjects was related to the satisfaction of the surrounding relationship, the perceived disability about smoking cessation, and the amount of smoking. In addition, after the implementation of the gold research station designation policy, it had a positive impact on smoker's smoking behavior and resulted in reducing the frequency of secondhand smoke among residents. Conclusions: In order to increase the compliance of the non-smoking policy It is necessary to continuously expand the indoor smoking cessation zone policy, develop policies and supplement the health belief model components.

An Exploration of Somatization among Korean Older Immigrants in the U.S. (신체증후군에 대한 탐색적 연구: 한인 노인 이민자를 중심으로)

  • Ahn, Joonhee
    • 한국노년학
    • /
    • v.28 no.4
    • /
    • pp.1179-1200
    • /
    • 2008
  • Knowledge about somatization (somatic manifestation of psychological distress symptoms) among immigrant populations is limited. While several studies have recognized somatization as a culturally distinctive expression of depression amongst older Korean immigrant population, somatization has not been incorporated into the comprehensive empirical model for depression of this population. In order to improve our general understanding of the phenomenon, the objective of this study is to empirically investigate principal contributing factors of somatization as well as inter-relationships among them. Data were collected from a cross-sectional community survey of 234 older Korean immigrants ($$age{\geq_-}55$$) in the New York metropolitan area. The statistical methodology employed a robust hierarchical regression procedure that iteratively downweights outliers. The results indicated that living arrangement, greater numbers of physical illnesses, and depression were significant explanatory factors of somatization. Furthermore, physical illness had a significant joint effect with perception of health on somatization, which confirms that positive perception of health exerts a moderating effect on the relationship between physical illness and somatization. The knowledge obtained from this study will contribute toward extending our knowledge on somatization and implementing more culturally sensitive mental health services for this population.

The Effect of Welfare Status on Welfare Attitudes: Focusing on the Moderating Effect of Trust in Government (복지지위가 복지인식에 미치는 영향: 정부신뢰의 조절효과를 중심으로)

  • Choi, Go Eun
    • 한국사회정책
    • /
    • v.23 no.1
    • /
    • pp.125-150
    • /
    • 2016
  • This study was carried out to empirically analyze the hypothesis that the impact of the welfare status on the welfare attitudes is moderated by each individual's level of confidence in government. To do this, this study focused on the welfare status known as the significant predictors of welfare attitudes and measured the welfare status as a gap between 'welfare contribute' and 'welfare benefit' in a single dimension, which is defined as 'material sacrifice'. Also, this study examined the main effect of material sacrifice and trust in government on the welfare attitudes and moderating effect of trust in government on relationship between material sacrifice and welfare attitudes. This study was performed with secondary data from 8th year of "2013 Korea Welfare Panel Study". Hypothesis of this study were verified using hierarchical multiple regression analysis. The major findings of this study are summarized as follow. 'Material sacrifice' was found to be negatively associated with the welfare attitudes. However, as the confidence in which social policies will be carried out competently by government increases, it was confirmed that the negative effect of material sacrifice on the welfare attitudes was moderated. It suggests that self-material interests associated with welfare could be moderated by beliefs and expectations about the government's functions, which means that expanding the reliance on the social policy is an important task in order to lead a social consensus for the welfare expansion.

Analysis of Food Resources of 20 Endangered Fishes in Freshwater Ecosystems of South Korea using Non-metric Multidimensional Scaling and Network Analysis (비메트릭 다변량 척도법과 네트워크 분석을 통한 멸종위기 국내 담수어류 20종의 먹이원 분석)

  • Ji, Chang Woo;Lee, Dae-Seong;Lee, Da-Yeong;Park, Young-Seuk;Kwak, Ihn-Sil
    • Korean Journal of Ecology and Environment
    • /
    • v.54 no.2
    • /
    • pp.130-141
    • /
    • 2021
  • By reviewing previous literature, we analyzed the food sources of 20 out of 29 endangered fish species from freshwater ecosystems in South Korea. A total of 19 studies reported that food sources of 20 endangered fish species included 20 phyla, 31 classes, 58 orders, 116 families, and 154 genera. Arthropod, insecta, diptera, and chironomidae were the most fed animal food sources according to different resolution of taxa index on phylum, class, order and family. Similarity, bacillariophyta, bacillariophyceae, naviculales, and cymbellaceae were the most fed abundant plant sources. A larger number of fish species were reliant on animal food sources than plant food sources. 18 of the endangered fish preyed on arthropods, whereas only 6 species consumed bacillariophyta. To characterize the feeding groups of the 20 fish species, a hierarchical clustering analysis and non-metric multidimensional scaling analysis were conducted. The fish species were divided into two groups: 1) insectivores and 2) planktivores. A network analysis, which associated the link between endangered fishes and food sources, also revealed the same two groups. The highest hub score of food sources was for macroinvertebrates, including diptera (0.47), ephemeroptera (0.42), and trichoptera (0.38), based on the network analysis. Niche breadth was used to calculate the diversity of the food sources. Phoxinus phoxinus (0.57) showed thehighest food source diversity among the fish species, whereas Iksookimia pacifica (0.01) showed the lowest. This study will be utilized for the conservation and restoration of the endangered fish species.

The Relationship Between Gratitude Disposition and Psychological Well-BeingofUniversity Students: TheMediation Effect of Self-esteem (대학생의 감사성향과 심리적 안녕감의 관계 :자아존중감의 매개효과)

  • Choi, Jung-Myung;Kim, Sun-Mee
    • Journal of the Health Care and Life Science
    • /
    • v.8 no.2
    • /
    • pp.173-179
    • /
    • 2020
  • The purpose of this study is to verify whether the relationship between gratitude disposition and psychological well-being of college students shows a mediating effect of self-esteem The final 211 copies of the data were used in the analysis for the study, which was collected as students attending the university located in Group C. The data were statistically processed using SPSS 21.0 and the hierarchical regression analysis was performed to analyze the collected data. The results of the study are summarized as follows: Looking at the impact of the first-phase gratitude disposition on self-esteem, it was found that gratitude disposition was significant to self-esteem. Looking at the impact of the second-phase gratitude disposition on psychological well-being, gratitude disposition was significant to psychological well-being. Since the three-stage gratitude disposition was significant to psychological well-being, self-esteem can be seen to have partial medias. The results of this study confirmed that gratitude disposition was necessary as psychological resources to promote psychological well-being of university students, and self-esteem had a mediating effect. It is hoped that this research result will be used as a basis for the development of programs to improve gratitude disposition and self-esteem in order to promote the psychological well-being of college students.

Factors influencing the behavioral beliefs to care for emerging infectious disease (COVID-19) patients (신종 감염병(COVID-19) 환자 간호의 행위 신념에 영향을 미치는 요인)

  • Park, Yoonjin;Lee, Sun Ra
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.22 no.2
    • /
    • pp.522-528
    • /
    • 2021
  • This is an investigative study to identify the degree of post-traumatic stress and anxiety of nurses in relation to the COVID-19 pandemic, and to analyze the relationship with the nurse's belief in behavior and control that affects nursing intentions to determine their impact on the belief in behavior. The subjects of this study were nurses with experience of directly nursing COVID-19 patients at medical institutions located in Gyeonggi-do. The SPSS 22.0 version was used for the descriptive analysis, independent t-test, one-way ANOVA, Pearson's correlation coefficients and multiple regression. Post-traumatic stress of the participants in this study was found to be 24.20±20.58, anxiety 48.31±6.61, behavior beliefs -1.00±17.12, and control beliefs 3.41±11.66. According to this study, the belief in conduct is negatively correlated with post-traumatic stress (r=-4.71, p<).001) and showed a significant negative correlation with anxiety (r=-2.248, p<.05). There was no significant correlation with control beliefs (p>.05). Based on the results of this study, it is proposed to develop an appropriate psychological arbitration program for mediating post-traumatic stress in order to promote the nurse's behavior beliefs.

A Study on the Factors Affecting Suicidal Ideation in People with Mental Disabilities (정신장애인 자살생각에 영향을 미치는 요인에 관한 연구)

  • Song, Seung-Yeon;Lee, Yong-Pyo
    • The Journal of the Korea Contents Association
    • /
    • v.21 no.5
    • /
    • pp.765-775
    • /
    • 2021
  • The purpose of this study is to investigate factors that affect the suicidal ideation of the people with mental disabilities. To this end, the independent variables were analyzed by categorizing them into individual psychological factors, social factors, and demographic characteristics. The analysis data include 969 people with mental disabilities who participated in the 2017 Ministry of Health and Welfare's Research, 'Survey on the Current Status of Mental Disabilities in Community'. The analysis method was frequency analysis, descriptive statistics, and hierarchical multiple regression analysis with SPSS 23.0. As a result of the study, in terms of individual psychological factors, the higher the depression and the lower the mental health confidence, the more suicidal ideation increase. In terms of social factors, the more unregistered disabled groups, the more exposure to violence and discrimination, and the more they live in large cities, the higher their ideation of suicidal. The regression model explained 26.9% of suicidal ideation. The practical and policy implications for the prevention of suicide of the people with mental disabilities based on these results are as follows: First, social factors should be evaluated and considered together, rather than focusing only on individual psychological factors, in seeking policies and intervention programs that reduce suicidal ideation in the people with mental disabilities. Second, in seeking suicide prevention policies for the people with mental disabilities, Protection & Advocacy services should be provided to reduce violence and discrimination experiences. Third, in order to reduce the suicidal ideation of the people with mental disabilities, the mental disability registration system should be reorganized, and policy alternatives should be devised so that those experiencing mental distress can be included into the system.