• 제목/요약/키워드: discover

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초등학교 저학년 성교육 내용에 대한 교사의 요구 조사 (Teachers' Needs Analysis about Contents of Sexual Education for the Lower Grades of Primary School)

  • 정금희;양순옥;김신정
    • 여성건강간호학회지
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    • 제13권1호
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    • pp.35-42
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    • 2007
  • Purpose: This study was done to discover the contents needed for a sexual education program in the lower grades (the first to the third grade) by primary school teachers and to discover difficulties in confronting sexual education. Method: This was a descriptive study of 198 teachers for lower grade students in 15 primary schools. A questionnaire on sexual education was distributed and collected by mail. Result: The contents for sexual education that teachers felt were highly needed are as follows: sanitation of genitals, sexual violence, pregnancy & childbirth, family, selfassertion, and sexual self-determination. Teachers think prevention of sexual violence is the main reason for sexual education. Teachers indicated that sexual education considering the developmental stage was difficult. Conclusion: Development of a sexual education curriculum for lower grade primary school students is necessary for increasing the problem-solving ability of students focused on sexual violence, self-assertion and sexual self-determination, in addition to providing simple information.

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온라인목록 사용자 인터페이스에 관한 연구 : 탐색실패요인을 중심으로 (A Log Analysis Study of an Online Catalog User Interface)

  • 유재옥
    • 정보관리학회지
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    • 제17권2호
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    • pp.139-153
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    • 2000
  • 본 연구는 덕성여자대학교의 온라인목록시스템 사용자 인터페이스인 DISCOVER Web2.0의 이용실태를 분석하였다. 1999년 11월 한 달간의 Log Transaction File을 분석하여 이용자들이 선호하는 탐색의 접근점, 탐색의 접근점 별 사용율, 탐색의 접근점 별 성공률, 탐색 성공에 영향을 미치는 요인 등을 살펴보았다. 외국 대학의 온라인목록의 경우 가장 선호되는 탐색의 접근점은 주제명으로 나타났으나 본 연구에서는 서명(59.2%)으로 밝혀졌다. 가장 덜 선호되는 탐색의 접근점은 저자필드로 11.6%를 차지하였다. 또한 키워드 사용은 극히 저조하여 전체 접근점의 약 16%에 불과하였다. 탐색실패율은 평균 13.9%이며, 주제필드에서의 탐색실패율이 19.8%로 가장 높고 저자필드에서의 탐색실패율은 10.9%로 가장 낮았다.

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의미 수준이 다른 비즈니스 프로세스의 검색 방법 (A methodology for discovering business processes in different semantic levels)

  • 최영환;채희권;김광수
    • 한국경영과학회:학술대회논문집
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    • 한국경영과학회/대한산업공학회 2003년도 춘계공동학술대회
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    • pp.1128-1135
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    • 2003
  • e-Transformation of an enterprise requires the collaboration of business processes to be suited to the business participants' purpose. To realize this collaboration, business processes should be implemented as components and the system developers could be able to reuse the components for their specific purpose. The first step of this collaboration is the discovery of exact components for business processes. A dilemma, however, is the fact that there are thousands or even millions of business processes which vary from one enterprise to another. Moreover, business processes could be decomposed into multiple levels of semantics and classified into several process areas. In general, discovery of exact business processes requires understanding of widely adopted classification schemes such as CBPC, OAGIS, or SCOR. To cope with this obstacle, business process metadata should be defined and managed regardless of specific classification schemes to support effective discovery and reuse of business processes components. In this paper, a methodology to discover business process components published in different semantic levels is proposed. The proposed methodology represents the metadata of business process components as topic maps stored in a registry and utilizes the powerful features of topic maps for process discovery. TM4J, an open-source topic map engine, is modified to support concept matching and navigation. With the implemented tool, application system developers can discover and publish the business process components effectively.

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가상세계에서의 건강증진교육의 개념분석 (Health Promotion Education In A Virtual World: A Concept Analysis)

  • ;오진아
    • 한국간호교육학회지
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    • 제18권1호
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    • pp.81-94
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    • 2012
  • Purpose: Virtual worlds are emerging in health care as an innovative way of helping clients take responsibility for and promote their own care. Yet, the concept of health promotion education in this environment has not been elucidated. Therefore, we undertook a concept analysis to discover the underlying attributes and contextual basis to generate a conceptual understanding of virtual worlds in the context of health promotion education. Methods: Using Rodgers' evolutionary view of concept development, we analyzed literature on virtual worlds that describe their use to discover critical attributes, antecedents, and consequences of this phenomenon. Eleven studies matching inclusion criteria were reviewed. Results: Analysis of the literature highlighted three areas of important domains: user, simulated environment, and education. This concept analysis extends our understanding of a virtual world for health promotion education. Conclusion: This study may help anticipate future trends in the use of virtual worlds in the context of health promotion education, serving as a stepping-stone for further research on this aspect of the study. The next step should focus on the development of an evaluation tool that can measure the factors identified in this analysis to determine their effects on outcomes and environmental interactions.

프로세스 마이닝을 위한 거리 기반의 API(Anomaly Process Instance) 탐지법 (Detection of API(Anomaly Process Instance) Based on Distance for Process Mining)

  • 전대욱;배혜림
    • 대한산업공학회지
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    • 제41권6호
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    • pp.540-550
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    • 2015
  • There have been many attempts to find knowledge from data using conventional statistics, data mining, artificial intelligence, machine learning and pattern recognition. In those research areas, knowledge is approached in two ways. Firstly, researchers discover knowledge represented in general features for universal recognition, and secondly, they discover exceptional and distinctive features. In process mining, an instance is sequential information bounded by case ID, known as process instance. Here, an exceptional process instance can cause a problem in the analysis and discovery algorithm. Hence, in this paper we develop a method to detect the knowledge of exceptional and distinctive features when performing process mining. We propose a method for anomaly detection named Distance-based Anomaly Process Instance Detection (DAPID) which utilizes distance between process instances. DAPID contributes to a discovery of distinctive characteristic of process instance. For verifying the suggested methodology, we discovered characteristics of exceptional situations from log data. Additionally, we experiment on real data from a domestic port terminal to demonstrate our proposed methodology.

농업계고등학교 교과서의 농촌어메니티 내용분석 및 교육내용 개발 (Content Analysis and Development of Rural Amenity Education Contents for the Textbooks of Agricultural Highschool)

  • 김은자;류청산;김상범;이정원
    • 농촌계획
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    • 제16권4호
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    • pp.95-108
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    • 2010
  • 21st century has begun as an age of green growth. Development paradigms disregarding environmental sustainability are being changed and henceforth, stronger efforts should be made to discover and utilize green values. With the importance of green values, rural amenity which is in the spotlight as a new channel to change the way people think about depressed agriculture and rural community could be the key to discover green values of rural area. This study is to emphasize rural amenity and to rectify prejudiced and distorted contents of agriculture and rural community in agricultural highschool textbooks. By doing this, students of agricultural highschool who will lead agriculture in the future will come to recognize the importance of agriculture and rural area and discovering it's values. This study was done through analysis and development of contents in 39 kinds of textbooks of Agricultural highschool. A content analysis was employed to examine to what extent the contents on agriculture and rural community were reflected in the textbooks of agriculture highschool. And 262 new education contents formulating positive and exact rural amenity concept were developed and 62 of them were included in textbooks.

RFID-based Supply Chain Process Mining for Imported Beef

  • Kang, Yong-Shin;Lee, Kyounghun;Lee, Yong-Han;Chung, Ku-Young
    • 한국축산식품학회지
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    • 제33권4호
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    • pp.463-473
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    • 2013
  • Through the development of efficient data collecting technologies like RFID, and inter-enterprise collaboration platforms such as web services, companies which participate in supply chains can acquire visibility over the whole supply chain, and can make decisions to optimize the overall supply chain networks and processes, based on the extracted knowledge from historical data collected by the visibility system. Although not currently active, the MeatWatch system has been developed, and is used in part for this purpose, in the imported beef distribution network in Korea. However, the imported beef distribution network is too complicated to analyze its various aspects using ordinary process analysis approaches. In this paper, we suggest a novel approach, called RFID-based supply chain process mining, to automatically discover and analyze the overall supply chain processes from the distributed RFID event data, without any prior knowledge. The proposed approach was implemented and validated, by using a case study of the imported beef distribution network in Korea. Specifically we demonstrated that the proposed approach can be successfully applied to discover supply chain networks from the distributed event data, to simplify the supply chain networks, and to analyze anomaly of the distribution networks. Such novel process mining functionalities can reinforce the capability of traceability services like MeatWatch in the future.

과학 창의적 글쓰기에 대한 초등 예비 교사들의 인식 (A Perceptions about the Creative Writing of Elementary Pre-service Teachers)

  • 김윤지
    • 한국초등과학교육학회지:초등과학교육
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    • 제29권2호
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    • pp.144-154
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    • 2010
  • This study was conducted among elementary pre-service teachers who participated in creative story writing exercises related to science. It aimed at analyzing their perceptions, based on their own experiences in the story writing exercises, about story writing as a pedagogic method, to discover the implications on science education. First, creative story writing exercises were carried out over a period of eight weeks by 114 elementary pre-service teachers at a college of education, all of whom were non-science majors taking a course on earth science as a liberal arts elective. Afterward, an open-ended survey was conducted among them to discover their attitudes and opinions, both as students and as teachers-to-be. The majority of the subjects expressed a positive opinion about creative story writing as a pedagogic tool, stating that they would apply it in their future teaching by telling stories they wrote or having students write their own compositions. Pre-service teachers conclude a creative writing improves students' studying, leads interest and motivation. In addition, it linked with daily life and other school subjects. Creative story writing, when used at colleges of education, has didactic value as an empirical exercise for pre-service teachers who are not majoring in science.

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가중치 순회로부터 빈발 순회패턴의 탐사 및 순회분할을 통한 성능향상 (Discovery of Frequent Traversal Patterns from Weighted Traversals and Performance Enhancement by Traversal Split)

  • 이성대;박휴찬
    • 한국정보통신학회논문지
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    • 제11권5호
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    • pp.940-948
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    • 2007
  • 실세계의 많은 문제는 그래프와 그 그래프를 순회하는 트랜잭션으로 모델링 될 수 있다. 예를 들면, 웹페이지의 연결구조는 그래프로 표현될 수 있고, 사용자의 웹페이지 방문경로는 그 그래프를 순회하는 트랜잭션으로 모델링 될 수 있다. 이와 같이 그래프를 순회하는 트랜잭션들로부터 빈발 패턴과 같이 중요한 패턴을 찾아내는 것은 의미있는 일이다. 본 논문에서는, 방향 그래프와 그 그래프를 순회하는 가중치가 있는 트랜잭션들이 주어졌을 때, 빈발한 순회패턴을 탐사하는 알고리즘을 제안한다. 또한, 이 알고리즘의 성능향상을 위하여 순회를 분할하는 방법을 제안하고 실험을 통하여 검증한다.

Knowledge Model for Disaster Dataset Navigation

  • Hwang, Yun-Young;Yuk, Jin-Hee;Shin, Sumi
    • Journal of Information Science Theory and Practice
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    • 제9권4호
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    • pp.35-49
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    • 2021
  • In a situation where there are multiple diverse datasets, it is essential to have an efficient method to provide users with the datasets they require. To address this suggestion, necessary datasets should be selected on the basis of the relationships between the datasets. In particular, in order to discover the necessary datasets for disaster resolution, we need to consider the disaster resolution stage. In this paper, in order to provide the necessary datasets for each stage of disaster resolution, we constructed a disaster type and disaster management process ontology and designed a method to determine the necessary datasets for each disaster type and disaster management process step. In addition, we introduce a method to determine relationships between datasets necessary for disaster response. We propose a method for discovering datasets based on minimal relationships such as "isA," "sameAs," and "subclassOf." To discover suitable datasets, we designed a knowledge exploration model and collected 651 disaster-related datasets for improving our method. These datasets were categorized by disaster type from the perspective of disaster management. Categorizing actual datasets into disaster types and disaster management types allows a single dataset to be classified as multiple types in both categories. We built a knowledge exploration model on the basis of disaster examples to ensure the configuration of our model.