• 제목/요약/키워드: level of reasoning

검색결과 353건 처리시간 0.026초

공작기계 지능화를 위한 다중 감시 시스템의 개발-드릴가공에의 적용- (Development of a Multiple Monitioring System for Intelligence of a Machine Tool -Application to Drilling Process-)

  • 김화영;안중환
    • 한국정밀공학회지
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    • 제10권4호
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    • pp.142-151
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    • 1993
  • An intelligent mulitiple monitoring system to monitor tool/machining states synthetically was proposed and developed. It consists of 2 fundamental subsystems : the multiple sensor detection unit and the intellignet integrated diagnosis unit. Three signals, that is, spindle motor current, Z-axis motor current, and machining sound were adopted to detect tool/machining states more reliably. Based on the multiple sensor information, the diagnosis unit judges either tool breakage or degree of tool wear state using fuzzy reasoning. Tool breakage is diagnosed by the level of spindle/z-axis motor current. Tool wear is diagnosed by both the result of fuzzy pattern recognition for motor currents and the result of pattern matching for machining sound. Fuzzy c-means algorithm was used for fuzzy pattern recognition. Experiments carried out for drill operation in the machining center have shown that the developed system monitors abnormal drill/states drilling very reliably.

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A Study on the Context-Aware Reasoning Filtering Mechanism in USN

  • Sung, Kyung;Kim, Seok-Hun;Hong, Min
    • Journal of information and communication convergence engineering
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    • 제9권4호
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    • pp.452-456
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    • 2011
  • Context-awareness system can provide an optimized services to users. Analyzing physical and complex circumstance elements which give direct or indirect influence to users can tell what users want. However, there are various situation informations around users and it requires high level technology to extract the service what users really want among those informations. The circumstance of the user can be changed from moment to moment, even the service what users want also can be changed in every minutes. Recently the researches to provide the service which a user demands has been progressed actively. Web based filtering method which reaches commercialization is a one of good examples. This method extracts necessary data according to users' demands from the documents on the Web or multimedia informations. However, there is a limit to use it to provide Context-awareness service because it extracts static data, not dynamic data. There is also other researches with a rule based filtering method in progress to filter situation information but this method doesn't have mechanism for dynamic data as well. We would like to solve these problems by providing a dynamic situation information filtering mechanism applying an weighted value about each property of objects and also applying Web based dynamic categories in this paper when unnecessary data should be filtered.

A firmware base address search technique based on MIPS architecture using $gp register address value and page granularity

  • Seok-Joo, Mun;Young-Ho, Sohn
    • 한국컴퓨터정보학회논문지
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    • 제28권2호
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    • pp.1-7
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    • 2023
  • 본 논문에서는 MIPS 아키택처 기반 펌웨어의 정적분석 환경을 구축하기 위한 방법으로, $gp 레지스터와 페이지 입상도를 활용한 베이스 주소 후보군 선정 방식을 제안한다. 해당 연구는 기존 연구의 귀납적 추론을 통한 베이스 주소 후보군 선정 방식의 단점인 베이스 주소 탐색 시간 단축을 위한 방법으로 기존 베이스 주소 후보군 선정방식 내 $gp 레지스터를 탐색의 기준점을 바탕으로 페이지 단위의 탐색을 수행하는 방법을 제시한다. 이후, 제시된 방법을 바탕으로 베이스 주소탐색 도구를 구현 및 정적분석 환경구축을 통해 대상 도구의 타당성을 증명하고자 한다. 본 논문에서 제시된 방법은 기존 귀납적 추론을 통한 후보군 선정 방안보다 속도 면에서 더 우수함을 나타낸다.

서술부의 함수체계화를 통한 인허가관련 건축법규의 자동검토 응용방안 (Development of High-level Method for Representing Explicit Verb Phrases of Building Code Sentences for the Automated Building Permit System of Korea)

  • 박서경;이진국;김인한
    • 한국CDE학회논문집
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    • 제21권3호
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    • pp.313-324
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    • 2016
  • As building information modeling (BIM) is expanding its influence in various fields of architecture, engineering, construction and facility management (AEC-FM) industry, BIM-based automated code compliance checking has become possible prospects. For the automated code compliance checking, requirements in building code need to be processed into explicit representation that enables automated reasoning. This paper aims to develop high-level methods that translate verb phrases into explicit representation. The high-level methods represent conditions, properties, and related actions of the building objects and clarify the core content of the constraints. The authors analyze building permit requirements in Korea Building Code and establish a standardized process of deriving the high-level methods. As a result, 60 kinds of the high-level methods were derived. In addition, method classification, analysis, and application are introduced. This study will contribute to the representation of explicit building code sentences and establishment of the automated building permit system of Korea.

빛의 반사 현상에 대한 초등 예비교사의 시각적 모델링 과정 (Pre-Service Elementary Teachers' Visual Modeling Process for Reflection of Light)

  • 윤혜경;이인선;박정우
    • 한국과학교육학회지
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    • 제41권1호
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    • pp.19-32
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    • 2021
  • 본 연구에서는 빛의 반사 현상에 대한 초등 예비교사의 시각적 모델링 과정을 Halloun (2004)이 제안한 모델링 사고의 세 측면, 정합성(coherence), 대응성(correspondence), 통약성(commensurability)의 관점에서 분석하였다. 초등 예비교사 20명이 참여하였으며 무작위로 2명씩 짝을 이루어 빛의 반사 현상을 관찰하고 이에 대한 시각적 모델을 처음에는 개인적으로 그리고 이후에는 협동적으로 구성하도록 하였다. 개인적 모델과 협동적 모델을 비교한 결과 특별한 교육적 처치가 없었음에도 불구하고 일부 모둠에서 대응성과 통약성 수준이 다소 높아졌다. 또한, 이들의 추론 과정에서 세 가지의 주요한 특징을 발견할 수 있었다. 첫째, 반사의 법칙을 적용하는 통약성 수준은 상황에 따라 유동적으로 계속 변했고 구두 설명과 그림 설명이 일치하지 않는 경우가 많았다. 둘째, 시각적 모델링 과정에서 통약성, 정합성보다 대응성을 우선으로 고려하는 경우가 많았다. 셋째, 대응성과 통약성이 서로 갈등하는 상황에서 참여자들은 보조 가설에 대한 검토 및 수정을 통해 이 갈등을 해결하고 추론을 발전시켜 나갔다. 이러한 연구 결과가 모델링 활동을 효과적으로 지도하는데 주는 몇 가지 시사점을 논의하였다.

도시와 농촌지역 아동의 자아존중감과 어머니의 양육행동 및 가정환경변인과의 관계에 대한 연구 (A study of the Relationship between Children's Self Esteem and Maternal Child Rearing Behaviors and Home Environmental Variables in Urban and Rural Community)

    • 가정과삶의질연구
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    • 제15권3호
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    • pp.45-58
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    • 1997
  • The purpose of this study was to investigate the relationship between the maternal child rearing behaviors and home environmental variables related with children's self-esteem in urban and rural community. Subjects were 435 boys and girls enrolled in grade 4, 5, 6 and their mothers from five public elementary schools in Chonan city and Naju city. The instruments for the study were coopersmith's Self Esteem Inventory Korean Maternal Behavior Inventory and questionnaire on home environmental variables. The data were analyzed by Pearson's one-way ANOVA t-test and Duncan post hoc test. The major findings were as follows: 1. Children's self esteem and 'Affection' and 'Achievement' of maternal child rearing behaviors were a positive correlation. 2. Children's self esteem of urban community was higher than that of rural community. Maternal child rearing behaviors of urban community was 'Achievement' of maternal child rearing behaviors were a positive correlation. 2. Children's self e teem of urban community was higher than that of rural community. Maternal child rearing behaviors of urban community was 'Active Involvement' and that of rural community were 'Authoritaran Control', 'Overprotection' and 'Achievement' 3. There were no differences in children's self esteem with family size. 4. There were significant differences in children's self esteem with parent's educational leveland monthly family income; the higher parent's educational level and the more monthly family income the higher children's self-esteem. 5. There were also significant differences in maternal child rearing behaviors 5. There were also significant differences in maternal child rearing behaviors with 'Achievement' by parent's age monthly family income and family size in 'Reasoning Guidance' and 'Active Involvement' by parent's educational level. in 'Authoritarian Control' and 'Overprotection' by monthly family income and in 'Reasoning Guidance' and 'Authoritarian Control' by family size.

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단일 프레임에서 차량 검출을 위한 그림자 분류 기법 (Shadow Classification for Detecting Vehicles in a Single Frame)

  • 이대호;박영태
    • 한국정보과학회논문지:소프트웨어및응용
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    • 제34권11호
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    • pp.991-1000
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    • 2007
  • 본 논문에서는 단일 프레임의 교통 영상에서 차량을 검출하는 새로운 기법을 제안한다. 제안하는 기법은 동작 환경에 관계없이 여러 형태로 분류된 그림자를 추출한다. 차량의 색상과 조명 조건에 관계없이 차량이 도로와 접한 부분에는 어두운 그림자 형상을 가진다는 사실을 이용하여 그림자 분류를 수행한다. 추출된 그림자는 차량의 존재 유무를 판단할 강력한 능력을 가지고 있으며, 배경 영상과 다른 시간적 정보들을 이용하지 않으므로, 기상 및 교통 정체가 빠르게 변화하는 상황에서도 높은 검출 성능을 보장한다. 차량 위치에 존재하는 자은 정보와 그림자 영역과의 간단한 증거 추론 기법에 의해 차량을 검출할 수 있다. 6개의 다른 동작 환경의 실험에서 4% 이하의 오검출율을 보이고, 0.9%에서 7.2%의 미검출율을 보였다. 또한, 작은 크기의 영상에 대해 초당 70 프레임 이상의 처리가 가능하므로, 다양한 교통 정보를 실시간으로 측정하는 기법에 사용될 수 있다.

고교생의 과학적 사고력에 관한 연구-논리적 사고와 추리력을 중심으로- (A Study on Scientific Thinking of Korean High School Students-With Reference to Logical Thinking and Reasoning Power-)

  • 황긍연;박인근;김태성
    • 한국과학교육학회지
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    • 제9권1호
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    • pp.19-37
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    • 1989
  • The purpose of this study was to investigate the development of logical thinking and scientific reasoning pattern of Korean high school students. To carry out this study subjects were selected about 2,000 Junior high school students, and about 4,100 senior high school students throughout the nation. They were identified as concrete, transitional or formal operational stage with the use of TOLT(the Test of Logical Thinking) by Tobin and Capie(1980), and TOSR(the Test of Scientific Reasoning) by W.A Farmer(1986). This study turned out that more than 76% of Junior high school students were classified as the concrete operational stage and about 44% of senior high school students were classified as the formal operational stage, while about 26% of them were still in the concrete operational level. This study showed that the main factor of the intellectual development of students is learning by the gradual advancement of their grades and especially entrance into the senior high school rather than by the physical growth. This study also showed that there are the take-off stage of the development of logical thinking between fourteen and fifteen years of their ages. Less than 25% of junior high school students were in the formal operational stages which are capable of control of variables, probabilistic, correlation and combinational logic in problem-solving situation, while 33-54% of senior high school students were in the formal operational levels. 38% of junior high school students were in the formal operational stage which is capable of proportional logic, while about 55% of senior high school students were in the formal operational stage. Less than 20% of senior high school students were classified as group of highly capable of scientific reasoning, while more than 23% of them were classified as group of poor capability. It also turned out that there are differences or no differences between male and female students of each school in problem-solving situation regarding each logic approach. These differences were proved to be fluctuating depending on the situations and their grades. The other results of this study is similar to those of other researches such as Tomlinson-Keasey 1972, Coleman 1973, Lawson 1973, Lawson and Renner 1974, Neimark 1975, Han 1982, and Kim 1989.

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간호학생의 도덕적 사고와 윤리적 딜레마 상황에서의 의사결정 (Moral Reasoning and Ethical Decision Making among Student Nurses in Moral Dilemmas)

  • 한성숙;안성희
    • 간호행정학회지
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    • 제1권1호
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    • pp.5-21
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    • 1995
  • This study purports to investigate moral reasoning and ethical decision making among student nurses in the hypothetical moral dilemmas. The subjects consisted of 25 senior nursing students attending at a four-year college. Data were collected through self-reported questionnaires in November, 1993. The questionnaires included two kinds of tests. Rest's Defining Issues Test was adopted to measure the stage of moral development, which was classified with the stage 2 (instrumental relativist orientation), the stage 3 (interpersonal concordance), the stage 4 (law and order), the stage 5A (societal consensus), and the stage 5B (intuitional humanism). In particular, the level of principled thinking (P) was measured by summing those scores of the stages 5A, 5B, and 6. The possible range of P is 0 to 95. As for measuring the levels of morality and nursing dilemma, Crisham's Nursing Dilemma Test was adopted. This test generated the morality score(MS) and the dilemma score (DS). The data were analyzed by t-test, ANOVA, Kruskal-Wallis test, and Pearson correlation coefficients. The findings are following. 1. The mean score of P was 52.93 (SD=12.82). The mean score of the stage 5A was significantly higher than the scores of other stages (17.92, p=.0001). 2. The mean score of P was not significantly different by general characteristics of the students. Of the scores of each stage, only the mean score of the stage 3 revealed significant difference by the status of living with parents(p=.0283). The score was highest when "living with both parents"(15.22), which was followed by "living with no parents"(10.0), "living with father only"(9.0), and "living with mother only"(7.50). 3. With regard to the five dilemmas postulated such as forcing medication, performing cardiac pulmonary resuscitation, reporting a medication error, informing diagnosis to terminally ill adult, and providing new-nurse orientation, most students perceived them as moral dilemma rather than nonmoral one. Most students made a positive decision according to moral reasoning in the above situations except for providing new-nurse orientation. 4. The mean score of the MS was 3.30 and that of the DS was 3.32. These scores did not show significant difference with general characteristics of the students. 5. As for the correlations between moral reasoning and decision making, the score of the stage 5A was positively correlated with the scores of P(.74, p<.0001) and DS(.56, p<.001). Positive correlation was also observed between the scores of stage 2 and stage 4(.68, p<.0001). On the other hand, the score of P was negatively correlated with the scores of stage 3(-.47, p<.05) and of stage 4(-.55, p<.001). The score of the stage 5A was also negatively correlated with the score of the stage 6(-.42, p<.05).

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관계 추론 심층 신경망 모델의 성능개선 연구 (A Study on Improving Performance of the Deep Neural Network Model for Relational Reasoning)

  • 이현옥;임희석
    • 정보처리학회논문지:소프트웨어 및 데이터공학
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    • 제7권12호
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    • pp.485-496
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    • 2018
  • 지금까지 인공지능의 한 분야인 딥러닝 방법은 구조화되지 않은 데이터로부터 문제를 해결하는 놀라울만한 성과를 이루어왔지만, 인간처럼 여러 상황들을 종합적으로 판단, 그것들의 연관성을 추론하고, 그 다음 상황을 예측하는 수준의 지능을 갖는데 도달하지 못하였다. 최근 발표된 복잡한 관계 추론을 수행하는 심층 신경망은 인공지능이 인간의 핵심 지적 능력인 관계 추론을 보유할 수 있다는 것을 증명하였다. 본 논문에서는 관계 추론 심층 신경망 중에서 Relation Networks (RN)의 성능을 분석 및 관찰해 보고자 Sort-of-CLEVR 데이터 셋을 사용한 시각적 질의응답과 bAbI task를 사용한 텍스트 기반 질의응답 두 유형의 RN 기반 심층 신경망 모델을 구축하여 baseline 모델과의 비교를 통한 성능검증을 하였다. 또한 모델의 성능을 극대화하기 위하여 하이퍼 파라미터 튜닝 등 다양각도의 성능개선 실험으로 관계 추론을 위한 RN 기반 심층 신경망 모델의 성능개선 방법을 제안하였다. 제안한 성능개선 방법은 시각적 질의응답 모델과 텍스트 기반 질의응답 모델에 적용하여 그 효과를 검증하였고, 기존의 RN 모델에서 사용해보지 않았던 Dialog-based LL 데이터 셋을 사용하여 새로운 도메인에서의 제안한 성능개선 방법의 효과를 다시 한 번 검증하였다. 실험 결과 두 유형의 RN 모델 모두에서 초기 학습률이 모델의 성능을 결정하는 핵심 요인임을 알 수 있었고, 제안한 random search 방법에 의해 찾은 최적의 초기 학습률 설정이 모델의 성능을 최고 99.8%까지 향상 시킬 수 있다는 것을 확인하였다.