• 제목/요약/키워드: Abstract Data

검색결과 486건 처리시간 0.027초

Differentiation of Legal Rules and Individualization of Court Decisions in Criminal, Administrative and Civil Cases: Identification and Assessment Methods

  • Egor, Trofimov;Oleg, Metsker;Georgy, Kopanitsa
    • International Journal of Computer Science & Network Security
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    • 제22권12호
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    • pp.125-131
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    • 2022
  • The diversity and complexity of criminal, administrative and civil cases resolved by the courts makes it difficult to develop universal automated tools for the analysis and evaluation of justice. However, big data generated in the scope of justice gives hope that this problem will be resolved as soon as possible. The big data applying makes it possible to identify typical options for resolving cases, form detailed rules for the individualization of a court decision, and correlate these rules with an abstract provisions of law. This approach allows us to somewhat overcome the contradiction between the abstract and the concrete in law, to automate the analysis of justice and to model e-justice for scientific and practical purposes. The article presents the results of using dimension reduction, SHAP value, and p-value to identify, analyze and evaluate the individualization of justice and the differentiation of legal regulation. Processing and analysis of arrays of court decisions by computational methods make it possible to identify the typical views of courts on questions of fact and questions of law. This knowledge, obtained automatically, is promising for the scientific study of justice issues, the improvement of the prescriptions of the law and the probabilistic prediction of a court decision with a known set of facts.

한 대학병원 자의퇴원 환자의 특성 연구 - 퇴원환자 지료정보 DB를 이용하여 - (A Study on the Characteristics of the Patients Discharged Against Medical Advice)

  • 홍준현;최귀숙;이정화;이은미
    • 한국의료질향상학회지
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    • 제8권2호
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    • pp.208-217
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    • 2001
  • Background : The objective of this study is proving the basic data for developing a management system for the discharges against medical advice(AMA) by identifying the characteristics of the AMA patients of an university hospital for 10 years. Methods : By using discharge abstract data base, we divided the total discharges(435,254) into two groups, discharge against medical advice and discharge with discharge order. We confirmed the characteristics of AMA group by analyzing discharge abstract data of the both groups by SAS software V6.12 and $x^2$ test. Medical records of AMA patients in the year 2000 were reviewed to identify the reasons for AMA which we couldn't extract from discharge abstract DB. Result : The total number of AMA for 10 years were 9,358(2.15%) and the AMA rate has been continuously decreased for 10 years. Male, admission through emergency room, discharges admission via other hospital, patients without operation during hospitalization, discharges in hopeless or not improved condition showed higher AMA rate. The AMA rate was higher as the age of the patients was higher, and the average length of stay was longer in AMA patients than in those with discharge order. The AMA rate in psychiatry was highest(14.3%) and it was higher in surgery departments than those of medical or other sections. The AMA rate varied by attending physicians even in the same department and it was statistically significant. Patients with the principal diagnosis of "medical observation and evaluation for suspected diseases" showed the highest AMA rate(15.5%), and that of schizophrenia or psychosis was the nest. One hundred twenty-one patients(19.5%) out of 622 AMA in 2000 discharged against medical advice for transfer to order health care facilities. Among them 71 patients(58.7%) discharged with their medical care information, such as copies of medical record, medical certificates, summaries, etc. Written oath of the patients discharged AMA was filed in their medical records in 466 cases(74.9%) although some of them were incomplete. Conclusion : Characteristics of AMA discharge could be used as the basic data in developing a system to manage the patients who have risk factors to leave the hospital against medical advice. By reducing number of patients leaving the hospital against medical advice we can increase satisfaction of medical providers and consumers.

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A Recursive Data Least Square Algorithm and Its Channel Equalization Application

  • Lim, Jun-Seok;Kim, Jae-Soo
    • The Journal of the Acoustical Society of Korea
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    • 제25권2E호
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    • pp.43-48
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    • 2006
  • Abstract-Using the recursive generalized eigendecomposition method, we develop a recursive form solution to the data least squares (DLS) problem, in which the error is assumed to lie in the data matrix only. Simulations demonstrate that DLS outperforms ordinary least square for certain types of deconvolution problems.

소셜 북마크의 시간 정보 클러스터링을 이용한 비디오 클립 생성 자동화 (Automated Video Clip Creation Using Time-based Social Bookmark Clustering)

  • 한성희;이재호;강대갑
    • 방송공학회논문지
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    • 제15권1호
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    • pp.144-147
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    • 2010
  • 최근 콘텐츠의 소비 방식 변화는 비디오 클립이라는 형식과 소셜 비디오 공유 플랫폼의 활성화를 야기했다. 이러한 비디오 클립 공급의 자동화를 위하여 여러 가지 방법이 시도되고 있다. 본 논문에서는 콘텐츠 자체의 특성에 기인한 방법이 아닌 집단 지성에 의한 북마크 데이터의 클러스터링을 통하여 효과적인 클립을 획득하는 방법을 제안한다. 사용자에 의한 북마크 데이터를 2차원 평면의 점으로 표현한 뒤, 1차원의 북마크 누적 횟수 그래프를 이용하여 분할 클러스터링을 하는 방법은 콘텐츠 특성에 대한 이해 없이도 효과적인 하이라이트 추출을 가능하게 한다. 제시하는 실험 결과는 이 방법의 유용함을 보여준다.

고속 틸팅 차량설계를 위한 전산통합 환경 구축 연구 (Product Data Management for The system Engineering of Train Tilting express)

  • 한성호;송용수
    • 시스템엔지니어링워크숍
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    • 통권4호
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    • pp.65-69
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    • 2004
  • Abstract Tilting train has been developed to increase the oprational speed of the trains on conventional lines which have many curves. This train are tilted at curves to compensate for unbalanced carbody centrifugal acceleration to a greater extent than compensation produced by the track cant, so that passengers do not feel centrifugal acceleration and thus trains can run at higher speed at curves. This paper developed PDM(product data management) to make a system engineering of TTX(Tilting Train eXpress) with maximum operation speed 180 km/h.

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동시출현 단어분석을 활용한 빅데이터 관련 연구동향 분석 (The Research Trends about the Big Data Using Co-word Analysis)

  • 김완종
    • 한국정보관리학회:학술대회논문집
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    • 한국정보관리학회 2014년도 제21회 학술대회 논문집
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    • pp.17-20
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    • 2014
  • 본 연구는 동시출현 단어분석 기법을 이용하여 최근 전세계적으로 많은 주목을 받고 있는 빅데이터(Big Data) 관련 연구 동향과 연구 영역을 분석하는 것을 목적으로 한다. 이를 위하여 인용색인데이터베이스인 Web of Science SCIE(Science Citation Index Expanded)에서 분석 대상 논문을 수집하였다. 논문 수집을 위한 검색식은 은 Title(논문 제목), Abstract(초록), Author Keywords(저자 키워드), Keywords $Plus^{(R)}$의 네 가지 필드를 동시에 검색하는 주제어(topic)가 "big data"를 포함하고 있는 논문 563편을 대상으로 동시출현단어 분석을 수행하였다.

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그래픽 태블릿(Graphic Tablet)에 의한 개념적 디자인 사고의 시각화 프로세스에 관한 연구 (The Visualization of Conceptual Thinking with its Verbal / Visual Information for Design Development)

  • 우흥룡
    • 디자인학연구
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    • 제14권2호
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    • pp.217-224
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    • 2001
  • 본 연구는 디자인 실무와 교육에서 전개되는 아이디어 스케치 과정을 인지적 그래픽 사고(Graphic Thinking)의 과정으로 보고, 인지적 사고 과정에서 시각적 디자인 사고의 과정의 고찰과 함께 이에 투입되는 언어/시각 정보의 영향을 실험/분석하였다. 실험방법으로 디자인 프로젝트를 설정하여 이의 프로토콜 분석을 시행하였으며, 그 결과를 SAS 통계시스템의 T-Test 분석을 하였다. 연구결과로서, 첫째로, 그래픽 사고는 추상적 /구체적 영역과 개념적/ 지각적 영역 사이에서 언어/ 시각 정보의 인지적 사고과정에 의해 진행되는 것으로 설명될 수 있으며, 둘째로, LCD 태블릿은 펜과 종이를 대체할 수 있는 적절한 장치임을 확인하였다. 셋째로, 컨셉 디자인 단계에서는 언어/ 시각 디자인 정보의 유형에 따른 영향에서 유의적인 차이가 있음을 확인하지 못하였다. 즉, 그래픽 사고과정에서 그래픽 이미지, 지각이미지, 그리고 정신 이미지가 복합적으로 작용되고 있음을 확인해주는 결과로 볼 수 있다. 금후 실험을 다각화하여 연구를 보완할 경우, 디자인 사고의 시각화 과정에 대한 보다 일반화된 이론 체계가 세워질 것이다.

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가치관과 의복이미지 및 의복디자인 선호도에 관한 연구 (Clothing Image and Clothing design Preferences)

  • 김은애;이명희
    • 복식
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    • 제18권
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    • pp.269-281
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    • 1992
  • The purposes of this study were to 1) classify the contents of clothing image preferences, 2) find out the relationship among personal values, preferences for clothing image and clothing design, and 3) investigate the relationship between clothing image preferences and clothing design preferences, Questionnaire was comprised of three section. The clothing image preference measure was included 36 bipolar adjectives of 7-point scales. Clothing design preferences measure was included the items of patterns, colors, and textures. 'Survey of Personal Values' by Eung-Un Hwang and Kyung -hye Lee was used for measurement of 6 values : practical mindedness ; achievement ; variety ; decisiveness; orderliness; and goal orientation. Samples were 288 college women. The data were analyzed using pearson's correlation coefficient and factor analysis. The results of the study were the following. 1. Four segments of clothing image preferences derived by factor analysis : F. 1 'progressive-conservative' ; F.2. 'casual-formal'; F.3 'plain-splendid'; F.4 'masculine-feminine'. 2. In relation between personal values and clothing image preferences, 1) achievement was positively related to the preference of progressive image 2) variety was positively related to the preferences of progressive and masculine image, and 3) goal orientation was negatively related to the preferences of the progressive and masculine image, and positively related to plain image. 3. In relation between personal values and clothing design preferences, 1) practical mindedness was positively related to the preference of black, 2) achievement was positively related to the preferences of blue and such realistic pattern as floral, 3) variety was positively related to the preferences of geometric or abstract patterns and thick or transparent texture, and 4) orderliness was negatively related to the preferences of abstract pattern. 4. In relation between clothing image preferences and clothing design preferences, 1) progressive image was positively related to abstract pattern, red, blue, and black, 2) casual image was positively related to geometric pattern, green, blue, and negatively related to red and soft rexture, 3) plain image was negatively related to lustered and transparent texture, abstract pattern, red, and black, and 4) masculine image was negatively related to lustered, thin, soft, and transparent texture, floral and dotted patterns, red, orange, and yellow.

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