• Title/Summary/Keyword: 군집 자료

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Development of a data analysis system for preventing school violence based on AI unsupervised learning (AI 비지도 학습 기반의 학교폭력 예방 데이터 분석 시스템 개발)

  • Jung, Soyeong;Ma, Youngji;Koo, Dukhoi
    • Journal of The Korean Association of Information Education
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    • v.25 no.5
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    • pp.741-750
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    • 2021
  • School violence has long been recognized as a social problem, and various efforts have been made to prevent it. In this study, we propose a system that can prevent school violence by analyzing data on the frequency of conversations between students, friendship and preference to be in the same group. This data was quantified using a Likert scale questionnaire, and also grouped into the appropriate number of clusters using the K-means algorithm. Additionally, the homeroom teacher observed the frequency and nature of conversations between students, and targeted specific individuals or groups for counseling and intervention, with the aim of reducing school violence. Data analysis revealed that the teachers' qualitative observations were consistent with the quantified data based on student questionnaires, and therefore applicable as quantitative data towards the identification and understanding of student relationships within the classroom. The study has potential limitations. The data used is subjective and based on peer evaluations which can be inconsistent as the students may use different criteria to evaluate one another. It is expected that this study will help homeroom teachers in their efforts to prevent school violence by understanding the relationships between students within the classroom.

A Current Status of Natural Heritage Using the Bird's Carcasses in South Korea (국내 천연기념물 멸실신고로 본 자연유산 현황)

  • Lee, Sung-Kyung;Shin, Yong-Un
    • Journal of the Korean Institute of Traditional Landscape Architecture
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    • v.39 no.2
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    • pp.50-54
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    • 2021
  • This study was conducted to investigate the status of carcasses of wild birds among natural monuments in Korea. In Korea, from 2016 to 2020, a total of 38 species and 5,036 individual carcasses of natural monuments were found. The year 2020 saw the highest numbers of species death with 34 and in 2019 the highest number was recorded with 1,095 individuals. In autumn, the largest number of species and the smallest number of individuals were confirmed dead. On the contrary, the smallest number of species and the highest number of individuals were confirmed dead in summer. The largest number of species died in November, and the largest number of individuals died in June. Kestrels accounted for about 20% of the total carcasses, making up the largest number, followed by eagle owls, brown hawk-owls, scops owls, goshawk, eagles and sparrow hawks. In spring and summer, domestic breeding species accounted for most of the carcasses and in winter, the proportion of overwintering individuals such as wooper swans and eagles increased. Reports of lost natural monuments are done by human and the status of the carcasses alone cannot inform the population characteristics of natural monuments when they stay in Korea. However, it is expected that the identified domestic population of strigiformes which has not been investigated in detail because they are nocturnal, and data on the status of carcasses of natural monuments in Korea will provide basic data for the protection of natural monuments.

A Study on Content Characteristics, Consumer Behavior and Economic Value According to the Degree of Consideration of Graphic Content (그래픽 콘텐츠 고려 정도에 따른 콘텐츠 특성, 소비자 행동, 경제적 가치에 관한 연구)

  • Lee, Sangho;Cho, Kwangmoon
    • Journal of Internet of Things and Convergence
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    • v.7 no.4
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    • pp.85-94
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    • 2021
  • This study verified what differences in screen golf content characteristics, intention to reuse, customer satisfaction and economic value experienced by consumers according to the image feeling, expression method, and image color provided by screen golf graphic content. In addition, the purpose of this study was to analyze what kind of influence the content characteristics of screen golf have on the economic value and what kind of influence the intention to reuse and customer satisfaction have in this process. From September 1, 2021 to September 30, 2021, a survey of 225 copies of consumers using the screen golf course was conducted. For data processing, frequency analysis, factor analysis, reliability analysis, cluster analysis, chi-square analysis and 3-step mediated regression analysis were performed. The research results are as follows. First, the preferred image feeling showed a high level of clean and sophisticated feeling and the preferred expression method showed a high realistic image. In addition, the preferred image color showed a high level of green color. Second, there were differences in competitiveness, ease of use, sense of solidarity and realism according to the degree of consideration of graphic content and differences in consumer's intention to reuse, customer satisfaction, and economic value. Third, in the relationship between screen golf content characteristics and economic value, customer satisfaction and re-use intention had a mediating effect. Through this study, by providing basic data to derive the graphic design model of screen golf, the operating entity suggested a way to improve economic benefits and tried to contribute to the growth of the screen golf industry.

Long-term distribution trend analysis of largemouth bass (Micropterus salmoides), based on National Fish Database, and the ecological risk assessments (전국자연환경조사 자료를 이용한 배스(Micropterus salmoides) 시공간 분포 분석 및 생태위해성 평가)

  • Kim, Jeong Eun;An, Kwang-Guk
    • Korean Journal of Environmental Biology
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    • v.39 no.2
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    • pp.207-217
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    • 2021
  • Using the data from the national survey of fish, we determined the population size and the distribution of Micropterus salmoides, which is a translocated species into the aquatic ecosystem of Korea. . The spatial concentration of this species was determined by performing an optimized hot spot analysis. After determining potential invasiveness and risk assessment, we measured the disturbance of biodiversity in the aquatic ecosystem. The result of distribution analysis indicates that the population of M. salmoides was concentrated in the major basins of Han river, Geum river, Nakdong river, and Yeongsan-Seomjin river, including the Jeju island. In particular, Nakdong river basin showed the highest appearance rate. On the contrary, Yeongsan-Seomjin river basin showed the lowest appearance rate. The Nakdong river and the Nakdong river basin were the areas with the high spatial concentration of M. salmoides. On the other hand, only Han river basin and Geum river basin had the lowest spatial concentration. The fish invasiveness screening kit(FISK) was used to assess M. salmoides, which inhabited a broad region of aquatic ecosystem: the assessment score was 31.0, indicating its 'highly invasive' nature. Our study aims to encourage research that improves the biodiversity and the conservation of M. salmoides in a priority area.

A Study on the Application of GOCI to Analyzing Phytoplankton Community Distribution in the East Sea (동해에서 식물플랑크톤 군집 분포 분석을 위한 GOCI 활용 연구)

  • Choi, Jong-kuk;Noh, Jae Hoon;Brewin, Robert J.W.;Sun, Xuerong;Lee, Charity M.
    • Korean Journal of Remote Sensing
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    • v.36 no.6_1
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    • pp.1339-1348
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    • 2020
  • Phytoplankton controls marine ecosystems in terms of nutrients, photosynthetic rate, carbon cycle, etc. and the degree of its influence on the marine environment depends on their physical size. Many studies have been attempted to identify marine phytoplankton size classes using the remote sensing techniques. One of successful approach was the three-component model which estimates the chlorophyll concentrations of three phytoplankton size classes (micro-phytoplankton; >20 ㎛, nano-; 2-20 ㎛ and pico-; <2 ㎛) as a function of total chlorophyll. Here, we examined the applicability of Geostationary Ocean Colour Imager (GOCI) to the mapping of the phytoplankton size class distribution in the East Sea. A fit of the three-component model to a biomarker pigment dataset collected in the study area for some years including a large harmful algal bloom period has been carried out to derive size-fractioned chlorophyll concentration (CHL). The tuned three-component model was applied to the hourly GOCI images to identify the fractions of each phytoplankton size class for the entire CHL. Then, we investigated the distribution of phytoplankton community in terms of the size structure in the East Sea during the harmful Cochlodinium polykrikoides blooms in the summer of 2013.

The study of consumer types according to the level of digital divide (디지털 정보격차 수준에 따른 소비자유형 연구)

  • Baek, Ji-Yeon;Jang, Eun-Gyo;Lee, Jin-Myong
    • Journal of Digital Convergence
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    • v.20 no.4
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    • pp.193-202
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    • 2022
  • The purpose of this study is to propose an effective informatization policy by categorizing consumer groups according to the level of digital divide and identifying the characteristics of each type. For this end, a total of 402 data were collected through an online and on-site surveys targeting consumers with internet experience, and the data were analyzed using the SPSS 26.0 program. As a result of conducting a K-means cluster analysis based on access to, capability, and utilization of digital devices, four consumer groups were categorized: 'device lover', 'proficient user', 'general user', and 'digital alienated'. By consumer type, significant differences were found in demographic characteristics, social capital, perception of the future information society, attitude toward technology as innovativeness, discomfort and familiarity, which are the antecedent variables of the digital divide. Significant differences in digital device satisfaction and intention to use, which are outcome variables of the digital divide, were also confirmed by consumer type. This study is academically and practically valuable in that it proposes customized informatization policies for each consumer group according to the level of digitization.

Bibliographic Analysis of Aging Anxiety and Lifestyle (노화불안과 라이프스타일에 대한 계량서지학적 분석)

  • Park, Sun Ha;Park, Hae Yean;Lim, Young Myoung
    • Therapeutic Science for Rehabilitation
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    • v.11 no.2
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    • pp.25-37
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    • 2022
  • Objective : Through the bibliographic analysis method, the flow of research is grasped from a macroscopic point of view and the connection system of key words is conducted. The purpose of this is to provide basic data for conducting research on aging anxiety and lifestyle. Methods : Among the bibliographic analysis methods, a citation analysis method that identifies the association based on the number of citations and a simultaneous appearance word analysis method that identifies the association based on the number of keywords appeared was used. VOSviewer was used to cluster and chart the analyzed information. Results : The frequency of occurrence of papers by year showed a gradual increase until 2017 and a rapid increase from 2018. In the field of research paper study, research was most actively conducted in the field of psychiatry. In the citation analysis, the United States, Australia, and the United Kingdom showed high correlation with each other, and as a result of conducting simultaneous word analysis on major keywords, words with high association with aging anxiety were found to be depression. Conclusion : This study is meaningful in that it grasped the flow of aging anxiety and lifestyle research from a macroscopic point of view using a bibliographic analysis method. Based on this, it is expected to understand the importance of lifestyle from the preventive point of view of aging and to be used as basic data for intervention and related education.

A Study on Management Strategies and Management Performance According to Organizational Culture Types in the Digital Economy Era (디지털 경제 시대의 조직문화 유형에 따른 경영전략 및 경영성과에 관한 연구)

  • Lee, Sangho;Cho, Kwangmoon
    • Journal of Internet of Things and Convergence
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    • v.8 no.4
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    • pp.85-96
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    • 2022
  • The purpose of this study was to investigate how the management strategies and organizational culture required in the digital economy have an effect on business performance. It provided basic data on management strategies and organizational culture necessary to approach as a digital leading country. For data collection, a survey was conducted from March 1 to May 30, 2022 for companies located in J province and engaged in industries related to the digital economy. The survey was conducted online and non-face-to-face, and a total of 225 companies participated in the survey. For statistical analysis, frequency analysis, exploratory factor analysis and reliability analysis, cluster analysis, independent sample t-test, and multiple regression analysis were performed. The research results are as follows. First, organizational culture was classified into high and low groups according to preference in innovation oriented, relationship oriented, task oriented, and hierarchical oriented. Second, the 4 types of organizational culture showed differences in prospectors strategy, analyzers strategy, defenders strategy, differentiation strategy, cost leadership strategy, financial performance, and non-financial performance according to preference. Third, management strategies affecting financial performance were found to be analyzers strategy, differentiation strategy, prospectors strategy, and cost leadership strategy. Fourth, management strategies affecting non-financial performance were found to be differentiation strategy, defenders strategy, analysis strategy, offensive strategy, cost leadership strategy, and focus strategy. Fifth, organizational culture affecting financial performance was found to be task oriented. Sixth, organizational culture affecting non-financial performance was found to be innovation oriented and relationship oriented. Through these studies, it is expected that the economy will be revitalized in the domestic market and a growth ecosystem that can take a new leap forward is created in the global market.

Analysis of data on prevention of school violence based on AI unsupervised learning (AI 비지도 학습 기반의 학교폭력 예방 데이터 분석)

  • Jung, Soyeong;Ma, Youngji;Koo, Dukhoi
    • 한국정보교육학회:학술대회논문집
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    • 2021.08a
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    • pp.85-91
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    • 2021
  • School violence has long been recognized as a social problem, and various efforts have been made to prevent it. In this study, we propose a system that can prevent school violence by analyzing data on the frequency of conversations between students, and identify peer relationships. The frequency of conversations between students in the class was quantified using a rating scale questionnaire, and this data was grouped into the appropriate number of clusters using the K-means algorithm. Additionally, the homeroom teacher observed the frequency and nature of conversations between students, and targeted specific individuals or groups for counseling and intervention, with the aim of reducing school violence. Data analysis revealed that the teachers' qualitative observations were consistent with the quantified data based on student questionnaires, and therefore applicable as quantitative data towards the identification and understanding of student relationships within the classroom. The study has potential limitations. The data used is subjective and based on peer evaluations which can be inconsistent as the students may use different criteria to evaluate one another. It is expected that this study will help homeroom teachers in their efforts to prevent school violence by understanding the relationships between students within the classroom.

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A Study on Monitoring and Management of Invasive Alien Species Applied by Citizen Science in the Wetland Protected Areas(Inland Wetland) (시민과학을 활용한 습지보호지역의 생태계교란 식물 모니터링 및 관리방안 연구)

  • Inae Yeo;Kwangjin Cho
    • Journal of Environmental Impact Assessment
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    • v.32 no.5
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    • pp.305-317
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    • 2023
  • This study suggested a citizen science based model to enhance the efficacy of the managing invasive alien plants and examined whose applicability in 3 Wetland Protected Areas (Jangrok of Gwangju metropolitan city, Madongho of Goseong in South Gyeongsang Province, and Ungok of Gochang in North Jeolla Province). The process consists of (a) collecting citizen scientist including local residents of 3 protected areas and piling up information on the 4 species of invasive alien plants (Sicyos angulatus L., Solanum carolinense L., Ambrosia artemisiifolia L. and Solidago altissima L) in a information platform Ecological Information Bank (EcoBank) from September 18th to October 31th, (b) constructing distribution map containing the location and density (3 phases: individual-population-community) of target plants, (c) providing distribution map to Environment Agency and local government who is principal agent of managing invasive alien plants in 3 protected areas, and from whom (d) surveying applications of the distribution map and opinion for future supplement. As a result, citizen science based monitoring should be continued to complement the nationwide information for the field management of invasive alien plants with the expansion of target species (total 17 plants species that Ministry of Environment in South Korea designated) and period of monitoring in a year to increase the usability of surveyed information from citizen science. In the long run, effectiveness of the management of invasive alien species applied by citizen science should be reviewed including efficacy of field management process from citizen's participating in elimination project of invasive alien plants and time series distribution followed by the management of the species.