• 제목/요약/키워드: information classification

검색결과 8,381건 처리시간 0.208초

Classification of Public Perceptions toward Smog Risks on Twitter Using Topic Modeling (Topic Modeling을 이용한 Twitter상에서 스모그 리스크에 관한 대중 인식 분류 연구)

  • Kim, Yun-Ki
    • Journal of Cadastre & Land InformatiX
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    • 제47권1호
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    • pp.53-79
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    • 2017
  • The main purpose of this study was to detect and classify public perceptions toward smog disasters on Twitter using topic modeling. To help achieve these objectives and to identify gaps in the literature, this research carried out a literature review on public opinions toward smog disasters and topic modeling. The literature review indicated that there are huge gaps in the related literature. In this research, this author formed five research questions to fill the gaps in the literature. And then this study performed research steps such as data extraction, word cloud analysis on the cleaned data, building the network of terms, correlation analysis, hierarchical cluster analysis, topic modeling with the LDA, and stream graphs to answer those research questions. The results of this research revealed that there exist huge differences in the most frequent terms, the shapes of terms network, types of correlation, and smog-related topics changing patterns between New York and London. Therefore, this author could find positive answers to the four of the five research questions and a partially positive answer to Research question 4. Finally, on the basis of the results, this author suggested policy implications and recommendations for future study.

The Approach of Properties-Flavours Theory and the Study of Morphological Standard in CORNI FRUCTUS (산수유(山茱萸)의 기미론(氣味論)적 해석과 내외부형태연구)

  • Choi, Mun-Il;Lee, Hwa-Jung;Yun, Ju-Bong;Kim, Ja-Young;Kang, Kyoung-Sik;Shin, Chol-Gyun;Ju, Young-Sung
    • The Korea Journal of Herbology
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    • 제21권2호
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    • pp.109-119
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    • 2006
  • Objectives : This study was performed to approach of properties-flavours theory and the study of morphological standard in CORNI FRUCTUS. Methods : The properties-flavours theory were attempted with bibliographic method and various climate-information. The external-internal morphological standards were determined by using stereoscope and butanol series. Results and conclusion : 1. The significant analysis for the corni fructus as the properties-flavours theory, is a follow-up survey of the effect written in the official oriental medicine book. 2. The other analytic methods according to the gathering time, processing or storing system or especially nature or growth environment(altitude, temperature,. the mean moisture, and the agronomical survey) by way of the explanation of properties-flavours theory appears so many insufficiency at the many cases. 3. The external and internal characteristics according to the shape of original plant or herbal states, entirely correspond to all the literature on this subject. 4. According to the place of production, there are some different points. (l) In the external shapes, it is reasonable that if we make the basic standard of classification by the sharpness of color, the existence of gloss and the size of products. In the case of the Korean products, it shows bright and glossy color totally, but in the case of North Korea products, it shows black and lackluster. And in the case of the foreign products, it has softer body than Korea one and shows white color on the surface. (2) In the internal shapes, the Korea products has a thicker cuticle layer than the foreign one, and has fewer ca-oxalate in the parenchyma cell.

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A Study on Big Data Based Method of Patient Care Analysis (빅데이터 기반 환자 간병 방법 분석 연구)

  • Park, Ji-Hun;Hwang, Seung-Yeon;Yun, Bum-Sik;Choe, Su-Gil;Lee, Don-Hee;Kim, Jeong-Joon;Moon, Jin-Yong;Park, Kyung-won
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • 제20권3호
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    • pp.163-170
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    • 2020
  • With the development of information and communication technologies, the growing volume of data is increasing exponentially, raising interest in big data. As technologies related to big data have developed, big data is being collected, stored, processed, analyzed, and utilized in many fields. Big data analytics in the health care sector, in particular, is receiving much attention because they can also have a huge social and economic impact. It is predicted that it will be able to use Big Data technology to analyze patients' diagnostic data and reduce the amount of money that is spent on simple hospital care. Therefore, in this thesis, patient data is analyzed to present to patients who are unable to go to the hospital or caregivers who do not have medical expertise with close care guidelines. First, the collected patient data is stored in HDFS and the data is processed and classified using R, a big data processing and analysis tool, in the Hadoop environment. Visualize to a web server using R Shiny, which is used to implement various functions of R on the web.

A USEFULNESS OF KEDI-INDIVIDUAL BASIC LEARNING SKILLS TEST AS A DIAGNOSTIC TOOL OF LEARNING DISORDERS (학습 장애아 진단 도구로 기초 학습 기능 검사의 유용성에 관한 연구)

  • Kim, Ji-Hae;Lee, Myoung-Ju;Hong, Sung-Do;Kim, Seung-Tai
    • Journal of the Korean Academy of Child and Adolescent Psychiatry
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    • 제8권1호
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    • pp.101-112
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    • 1997
  • The purpose of this study was to examine usefulness of KEDI-Individual Basic Learning Skills Test as a diagnostic tool of learning disorders(LD). Learning disorder group consisted of two subgroups, verbal learning disorder group(VLD, n=34) and nonverbal learning disorder group(NVLD, n=14). Comparison group consisted of Dysthymia Disorder subgroup(n=11) and Normal subgroup(n=20). Performance of intelligence test and achievement test was examined in all 4 subgroups. In KEDI-WISC, VLD subgroup revealed primary problems in vocabulary, information and verbal-auditory attention test. NVLD group revealed primary problems in almost all performance tests such as visual acuity, psycho-motor coordination speed and visual-spatial organizations ability subtest. In KEDI-Individual Basic Learning Test, VLD group revealed primary problems in phonological coding process, word recognition and mathematics. For successful classification of LD children, the importance of achievement test and intelligence test was discussed by discriminant analysis and factor analysis. The results indicate that KEDI-Individual Basic Learning Skills is of considerable usefulness in diagnosing LD, but must be used in subtests, and additional tests must be conducted for thorough exploration of LD.

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A STUDY OF THE DEVELOPMENT AND STANDARDIZATION OF ADHD DIAGNOSTIC SYSTEM (전산화된 주의력장애 진단시스템의 개발 및 표준화 연구)

  • Cho, Sung-Zoon;Chun, Sun-Young;Hong, Kang-E;Shin, Min-Sup
    • Journal of the Korean Academy of Child and Adolescent Psychiatry
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    • 제11권1호
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    • pp.91-99
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    • 2000
  • Objectives:Present study developed the computerized ADHD Diagnostic System(ADS) in order to diagnose ADHD and evaluate treatment effect of it, and conducted a standardization study for ADS. Methods:The normative group was composed of 847 children and adolescents between the age of 5 and 15(boy 429, girl 418) living in the areas of Seoul, Kyunggi-do, and Kangwon-do. 30 ADHD children with age ranged 7 to 9 years were participated present study to evaluate the validity of ADS. To establish the norms for diagnosing ADHD, the means and standard deviations of normative group were used to calculate T-scores for each age group. Results:The reliability coefficient of ADS(Cronbach's ${\alpha}$) was .85. There were significant differences in the measures of ADS except commission error between the normal and the ADHD groups. Three factors were extracted through factor analysis of ADS, which were labelled 'inattention', 'slow information processing' and 'impulsivity'. Discriminant analysis showed that ADS significantly discriminate the normal and the ADHD groups. Percentage of correct classification by ADS variables was 96.7%. Conclusion:These results put together strongly support the reliability and validity of ADS as a diagnostic instrument for ADHD.

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Analysis of major research trends in artificial intelligence based on domestic/international patent data (국내외 특허데이터 기반의 인공지능분야 기술동향 분석)

  • Chung, Myoung Sug;Jeong, So-Hee;Lee, Joo Yeoun
    • Journal of Digital Convergence
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    • 제16권6호
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    • pp.187-195
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    • 2018
  • Recently, the 4th industrial revolution has emerged as the core for enhancing national competitiveness, the development of a technology roadmap to efficiently develop related technologies to realize super intelligence as a main feature of the 4th Industrial Revolution is a major task has been highlighted. The objective of this study is to analyze the domestic and foreign technology level in the artificial intelligence field which is the core technology of the 4th Industrial Revolution era and to present the direction of development based on this. The keyword network analysis and the blank technical analysis based on the IPC classification were performed on the data derived from the keyword search of 'AI (Artificial Intelligence)' among domestic and foreign patent data. As a result, the number of domestic artificial intelligence related technology development was 1.2% compared with developed countries such as USA and Europe. In the major development fields, data recognition technology and digital information transmission technology were relatively insufficient. Through this study, we obtained the blank technology as a result of comparative analysis of domestic artificial intelligence related technologies compared to advanced countries and suggested the direction of domestic artificial intelligence technology development in future.

Electronic-Composit Consumer Sentiment Index(CCSI) development by Social Bigdata Analysis (소셜빅데이터를 이용한 온라인 소비자감성지수(e-CCSI) 개발)

  • Kim, Yoosin;Hong, Sung-Gwan;Kang, Hee-Joo;Jeong, Seung-Ryul
    • Journal of Internet Computing and Services
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    • 제18권4호
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    • pp.121-131
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    • 2017
  • With emergence of Internet, social media, and mobile service, the consumers have actively presented their opinions and sentiment, and then it is spreading out real time as well. The user-generated text data on the Internet and social media is not only the communication text among the users but also the valuable resource to be analyzed for knowing the users' intent and sentiment. In special, economic participants have strongly asked that the social big data and its' analytics supports to recognize and forecast the economic trend in future. In this regard, the governments and the businesses are trying to apply the social big data into making the social and economic solutions. Therefore, this study aims to reveal the capability of social big data analysis for the economic use. The research proposed a social big data analysis model and an online consumer sentiment index. To test the model and index, the researchers developed an economic survey ontology, defined a sentiment dictionary for sentiment analysis, conducted classification and sentiment analysis, and calculated the online consumer sentiment index. In addition, the online consumer sentiment index was compared and validated with the composite consumer survey index of the Bank of Korea.

The Analysis of Environmental Protection Sector and Regulation Resistance -A Study on Pyeongchang- (환경규제 지역과 규제저항 분석 - 평창을 사례로 -)

  • Bae, Sun-Hak
    • Journal of the Korean Geographical Society
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    • 제41권6호
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    • pp.701-713
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    • 2006
  • This study considers the case when a district with a high development possibility is set up as a regulation region. Initial assumption is that there would be regulation resistance in and around the regulation region. Pyeongchang is taken as a study areas, performing necessary analysis of environment regulation and regulation resistance based upon spatial analysis with the use of GIS. The research proceeding steps are as follows. After examining Pyeongchang present environment regulation state, environment regulation map is constructed, and classification of Pyeongchang's relatively development possibility level map is made. Using this regulation map and development possibility level map, relative regulation resistance level is measured. The results that the rates of Pyeongchang environment regulation region in its present state was higher than Namhan river basin's regulation region rates. Also, overlapping a high development possibility level region with an environment regulation region, the analysis results give reasons to expect high level of regulation resistance in Doam-myeon and Jinbu-myeon in small town units. The analysis of Pyeongchang new buildings locations with regard to environment regulation showed intensive distribution in the regulation region with high development possibility level and adjacent areas (about 66% of new buildings are distributed within 500m range from regulation region). Such results show that the local administration and existing environment regulation policy, not capable of offering direct benefit to the population, are having immanent problems in environment sustainable development and connected with it environment harm causation.

Assessment of FEED Structure and Functions for Project Management of Thermal Power Plant Construction (사업관리 관점의 FEED 업무 프로세스 구조 및 항목 평가 - 화력발전소를 중심으로 -)

  • Kim, Namjoon;Jung, Youngsoo;Yang, Myungdirk
    • Korean Journal of Construction Engineering and Management
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    • 제16권5호
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    • pp.65-76
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    • 2015
  • FEED (Front End Engineering and Design) is the key area that determines the competitiveness of procurement and construction in the EPC contracts especially in terms of the added value. Nevertheless, previous researches in FEED have been limited to the process and deliverable of design work or the particular management business function (e.g. System Engineering, collaboration, information etc.). In this context, the purpose of this study is to propose a comprehensive FEED structure and its functions from the project management perspective throughout the whole project life-cycle for thermal power plants. Proposed FEED business procedures are classified into three levels; First level is the classification of FEED business phases, the second level defines major FEED management functions, and the third level is detailed FEED functions. A survey using proposed FEED functions and assessment variable was conducted in order to analyze the current status and the areas for future improvement. It is expected that the proposed structure, functions, and evaluation methodology for FEED management will contribute to effective practice of FEED as well as to improvement of competitive capability for engineering, procurement, and construction (EPC) companies.

Analysis of Inter-Species Association and Covariation in a Natural Deciduous Forest (천연활엽수림(天然闊葉樹林)에서의 수종간(樹種間) 상관관계(相關關係)와 공변이관계(共變異關係)의 분석(分析))

  • Kim, Ji Hong;Kuen, Kee Hyun
    • Journal of Korean Society of Forest Science
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    • 제80권4호
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    • pp.360-368
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    • 1991
  • Utilizing chi-square test statistics, inter-species association and covariation were analyzed for the 37 woody plant species in a deciduous forest dominated by Quercus mongolica and Q. variabilis. within 50 temporarily established $20m{\times}20m$ square quadrats, the association for each pair of species was presented based on the presence-absence parameters. Acer palmatum had significant positive association with Acer mono and Kalopanax pictus, but negative association with Pinus densiflora. Other positively associated species pairs were Prunus sargentii-Macckia amurensis, Quercus serrata-Kalopanax pictus, Symplocos chinensis var. pilosa-Euonymus oxyphyllus, and Ulmus davidiana var. japonica-Lindera obtusiloba. The covariation far each pair of species was evaluated based on the quantitative measures, density and basal area. Overall results showed that the association and covariation values among species generally agreed with each other. Because covariation was calculated by density and basal area of the tallied species in the sample plots, the number of species pairs of covariation tended to be greater than those of association. Especially, Pinus densiflora, considered to be pioneer species in the successional stage, had negative covariation with most of climax species. These ecological information could be applied to silvicultural practices, such as ecosystem classification, establishment of mixed hardwood forest, and tending operations for marking crop trees and desirable species.

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