• Title/Summary/Keyword: 발견

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An Analysis of High School Students' Activity on Problem-finding in III-structured Scientific Problem Situation (낮게 구조화된 과학적 문제 상황에서 고등학생들의 문제발견 활동 분석)

  • Ryu, Si-Kyung;Park, Jong-Seok
    • Journal of The Korean Association For Science Education
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    • v.26 no.6
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    • pp.765-774
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    • 2006
  • The purpose of this study was to suggest an instructional direction for improving scientific problem-finding ability. For this purpose, the present study made an in-depth analysis about activity on problem finding tasks of high school students in an ill-structured scientific problem situation. Subjects were divided into two groups (cooperative and individual) and two kinds of problem finding tasks were administered to two groups. Results indicated that a cooperative activity on problem finding happened to a series of steps exploring problem situation, expressing knowledge and experience, discussing provisional problems, creating various problems and selecting the best problem. Besides, a cooperative activity on problem finding depended heavily on prior knowledge and experience, and in the meantime, various scientific concepts turned out to naturally be expressed. As for the problems found out during a cooperative activity, their scores in creativity factors, including the degree of agreement in original problem selection came out to be on the whole, as excellent. In addition, the types of the problems found out in open problem situation showed that they were more various than those found out in closed problem situation. Subjects perceived that activity on problem finding had positive influence on scientific concept and science process skills. Findings of this study have the following educational implications: First, it is needed to prepare for educational environment that enables students to explore various knowledge and information. Second, the offering of various opportunities is needed to enlarge the scope of scientific knowledge and experience. Third, it is needed to prepare for a study atmosphere that lets students express their knowledge and experiences freely.

Inferring Undiscovered Public Knowledge by Using Text Mining-driven Graph Model (텍스트 마이닝 기반의 그래프 모델을 이용한 미발견 공공 지식 추론)

  • Heo, Go Eun;Song, Min
    • Journal of the Korean Society for information Management
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    • v.31 no.1
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    • pp.231-250
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    • 2014
  • Due to the recent development of Information and Communication Technologies (ICT), the amount of research publications has increased exponentially. In response to this rapid growth, the demand of automated text processing methods has risen to deal with massive amount of text data. Biomedical text mining discovering hidden biological meanings and treatments from biomedical literatures becomes a pivotal methodology and it helps medical disciplines reduce the time and cost. Many researchers have conducted literature-based discovery studies to generate new hypotheses. However, existing approaches either require intensive manual process of during the procedures or a semi-automatic procedure to find and select biomedical entities. In addition, they had limitations of showing one dimension that is, the cause-and-effect relationship between two concepts. Thus;this study proposed a novel approach to discover various relationships among source and target concepts and their intermediate concepts by expanding intermediate concepts to multi-levels. This study provided distinct perspectives for literature-based discovery by not only discovering the meaningful relationship among concepts in biomedical literature through graph-based path interference but also being able to generate feasible new hypotheses.

A Case Analysis of Inference of Mathematical Gifted Students in the NIM Game (NIM 게임에서 수학 영재의 필승전략에 대한 추론 사례)

  • Park, Dal-Won
    • Journal of the Korean School Mathematics Society
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    • v.20 no.4
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    • pp.405-422
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    • 2017
  • Nim games were divided into three stages : one file, two files and three files game, and inquiry activities were conducted for middle school mathematically gifted students. In the first stage, students easily found a winning strategy through deductive reasoning. In the second stage, students found a winning strategy with deductive reasoning or inductive reasoning, but found an error in inductive reasoning. In the third stage, no students found a winning strategy with deductive reasoning and errors were found in the induction reasoning process. It is found that the tendency to unconditionally generalize the pattern that is formed in the finite number of cases is the cause of the error. As a result of visually presenting the binary boxes to students, students were able to easily identify the pattern of victory and defeat, recognize the winning strategy through game activities, and some students could reach a stage of justifying the winning strategy.

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An Analysis of Correlation between Relational Understanding and Creative Math Problem Finding Ability (관계적 이해와 창의적 수학 문제발견능력과의 상관관계 분석)

  • Kim, Eun-Jin;Kwean, Hyuk-Jin
    • Journal of the Korean School Mathematics Society
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    • v.15 no.3
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    • pp.511-533
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    • 2012
  • In order to determine whether there is a significant correlation between relational understanding and creative math. problem finding ability, this study performed relational understanding and problem finding ability tests on a sample of 186 8th grade middle school students. According to the study results, we found a very significant positive correlation between relational understanding and the creativity of the mathematising ability and the combining ability of mathematical concepts in the problem finding ability. Although there was no statistically significant correlation between relational understanding and the extension ability of mathematical facts, the results from analyzing the students response rate and actual scores in each test showed that students with high relational understanding scores also had high response rate and high scores in analogical reasoning and inductive reasoning. Through this study, therefore, relational understanding is found to have a positive impact on the creative mathematics problem finding ability.

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GENETIC STUDY IN AUTSTIC DISORDER - Chromosomal Analysis - (자폐장애 아동의 유전연구 - 염색체 분석 -)

  • Jung, Chul-Ho;Lee, Inn-Hwan
    • Journal of the Korean Academy of Child and Adolescent Psychiatry
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    • v.2 no.1
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    • pp.66-75
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    • 1991
  • The authors studied chromosomal abnormalities in 38 autistic children meeting the diagnostic criteria of DSM-III-R in order to investigate genere factor in autistic disorder There were 28 males and 10 females, with the mean age being $108.8{\pm}28.5months(70-156months).$ All samples were analyzed on short-term lymphocyre cultures in Medium 199 that contained FUdR. The fragile X chromosome was not found in any of the patients. There were other chromosomal abnormalities in 14(36.8%) of 38 patients, such as breakage, 11cases ; gap, 2case ; breakage and gap, 1 case. In grouping of chromosomal abnormalities, group A patients were 4 cases ; group C were 3 cases ; group A and B was 1 case ; group A and E was 1 case ; group C and E was 1 case ; group A, B and C was 1 case. There were no statistical significance in the 16 symptoms of autistic disorder of DSM-III-R between patients with chromosomal abnormalities and patients without chromosomal abnormalites. These results do not support the hypothesis that fragile X chromosome is an etiological factor in autistic disorder.

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Outlier detection in time series data (시계열 자료에서의 특이치 발견)

  • Choi, Jeong In;Um, In Ok;Choa, Hyung Jun
    • The Korean Journal of Applied Statistics
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    • v.29 no.5
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    • pp.907-920
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    • 2016
  • This study suggests an outlier detection algorithm that uses quantile autoregressive model in time series data, eventually applying it to actual stock manipulation cases by comparing its performance to existing methods. Studies on outlier detection have traditionally been conducted mostly in general data and those in time series data are insufficient. They have also been limited to a parametric model, which is not convenient as it is complicated with an analysis that takes a long time. Thus, we suggest a new algorithm of outlier detection in time series data and through various simulations, compare it to existing algorithms. Especially, the outlier detection algorithm in time series data can be useful in finding stock manipulation. If stock price which had a certain pattern goes out of flow and generates an outlier, it can be due to intentional intervention and manipulation. We examined how fast the model can detect stock manipulations by applying it to actual stock manipulation cases.

Ranked Web Service Retrieval by Keyword Search (키워드 질의를 이용한 순위화된 웹 서비스 검색 기법)

  • Lee, Kyong-Ha;Lee, Kyu-Chul;Kim, Kyong-Ok
    • The Journal of Society for e-Business Studies
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    • v.13 no.2
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    • pp.213-223
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    • 2008
  • The efficient discovery of services from a large scale collection of services has become an important issue[7, 24]. We studied a syntactic method for Web service discovery, rather than a semantic method. We regarded a service discovery as a retrieval problem on the proprietary XML formats, which were service descriptions in a registry DB. We modeled services and queries as probabilistic values and devised similarity-based retrieval techniques. The benefits of our way are follows. First, our system supports ranked service retrieval by keyword search. Second, we considers both of UDDI data and WSDL definitions of services amid query evaluation time. Last, our technique can be easily implemented on the off-theshelf DBMS and also utilize good features of DBMS maintenance.

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A Distributed Deadlock Detection and Resolution Algorithm for the OR Model (OR 모델 기반의 분산 교착상태 발견 및 복구 기법)

  • Lee, Soo-Jung
    • Journal of KIISE:Computer Systems and Theory
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    • v.29 no.10
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    • pp.561-572
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    • 2002
  • Deadlock detection in distributed systems is considered difficult since no single site knows the exact information on the whole system state. This paper proposes a time-efficient algorithm for distributed deadlock detection and resolution. The initiator of the algorithm propagates a deadlock detection message and builds a reduced wait-for graph from the information carried by the replies. The time required for deadlock detection is reduced to half of that of the other algorithms. Moreover, any deadlock reachable from the initiator is detected whereas most previous algorithms only find out whether the initiator is involved in deadlock. This feature accelerates the detection of deadlock. Resolution of the detected deadlock is also simplified and precisely specified, while the current algorithms either present no resolution scheme or simply abort the initiator of the algorithm upon detecting deadlock.

Agent-Based COVID-19 Simulation Considering Dynamic Movement: Changes of Infections According to Detect Levels (동적 움직임 변화를 반영한 에이전트 기반 코로나-19 시뮬레이션: 접촉자 발견 수준에 따른 감염 변화)

  • Lee, Jongsung
    • Journal of the Korea Society for Simulation
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    • v.30 no.1
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    • pp.43-54
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    • 2021
  • Since COVID-19 (Severe acute respiratory syndrome coronavirus type 2, SARS-Cov-2) was first discovered at the end of 2019, it has spread rapidly around the world. This study introduces an agent-based simulation model representing COVID-19 spread in South Korea to investigate the effect of detect level (contact tracing) on the virus spread. To develop the model, related data are aggregated and probability distributions are inferred based on the data. The entire process of infection, quarantine, recovery, and death is schematically described and the interaction of people is modeled based on the traffic data. A composite logistic functions are utilized to represent the compliance of people to the government move control such as social distancing. To demonstrate to effect of detect level on the virus spread, detect level is changed from 0% to 100%. The results indicate active contact tracing inhibits the virus spread and the inhibitory effect increases geometrically as the detect level increases.

Maternal and Child Factors Associated with Early Detection of Cerebral Palsy (뇌성마비아 조기발견과 관련된 모자인자)

  • Bae, Sung-Soo;Park, Jung-Han
    • Journal of Preventive Medicine and Public Health
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    • v.20 no.2 s.22
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    • pp.312-321
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    • 1987
  • To investigate the maternal and child factors associated with early detection of cerebral palsy, 74 mothers of cerebral palsy children who were born since January 1, 1980 and being treated at Taegu Rehabilitation Center for the Handicapped, Rehabilitiation Center of Taegu University, St. Paul Children's House and Pusan Welfare Association of Cerebral Palsy Children were interviewed from February to April 1987. There is no association between age of child when parents noticed the child's abnormality and educational level of father but it tend to be detected earlier when education level of mother is college or above compared with high school or under. There is a trend of earlier detection of child's abnormality although statistically not significant in case father is professional or managerial worker, monthly income of father is over \610,000, child is first-born, age of the parents is 34 years or under, child is a boy, and child has periodic well-baby check-up. The child's abnormality is detected earlier when mothers had 7 prenatal visits or more compared with those who had 6 visits or less (p<0.05). Parents noticed the child's abnormality first in 85.1% of the cases whereas doctors detected it first in 2.7% and this percentage was not different whether the child had periodic well-baby check-up or not. The first physician's diagnosis of the children was cerebral palsy in 36.5% and the rest was normal, need for observation, uncertain, etc. Parents took the child to doctor for diagnosis 2-3 months after they noticed the child's abnormality and after the child was diagnosed as cerebral palsy parents either took no therapeutic measure or brought the child to physiotherapy or acupuncture or gave herb medicine before they started specific rehabilitative therapy. For early detection of the cerebral palsy children, teaching of evaluation method for child development should be reinforced both in medical school and clinical training course and should train the specialist for diagnosis and treatment of crippling conditions. Also, public education is needed for the importance of early detection of crippling conditions and currently available methods for diagnosis and treatment.

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