• 부모자녀건강학회지
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• 제16권1호
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• pp.11-16
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• 2013

Purpose: Ethiopia is one of the sub-Saharan countries most affected by high maternal and infant mortality. The government has trained health extension workers (HEWs), the community health workers, to deliver preventive and basic curative health services to community residents in Ethiopia. Very few studies have investigated on-the-job educational effects for HEWs on improvement of their knowledge and performance confidence in maternal and child health care (MCH). This study aimed at identifying the educational effects for HEWs in one health center in Tigray, Ethiopia on improvement of their knowledge in MCH. Methods: Twelve HEWs from 6 health posts participated in this study. A health center officer provided a total of 5 educational sessions on antenatal and postnatal care, family planning, and newborn care from August, 2012 to April, 2013. Ten to 12 items regarding the topics were tested before and after each education. Wilcoxon signed rank test was used to analyze the data. Results: All the HEWs were female with average 4-year working experience. Their knowledge significantly increased after education, except the first session. Their satisfaction on education was greater than 45 points out of 50. Conclusion: This study suggests a focused education for HEWs should continue to improve their capacity on MCH.

• 가정과삶의질연구
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• 제15권4호
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• pp.41-54
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• 1997

The purpose of this study is to analyze information search according to consumer's prior knowledge and degree of importance of products. Questionnare survey method was used in this research. The sample was taken from 548 university students in Seoul from 19th of June to 26th of June in 1997. Statistical methods used in this study were Frequency, Percentage, Regression and path Analysis. The major findings are summarized as follows; 1) The level of Consumer's prior knowledge showed somewhat middle. 2) Degree of importance of products showed in order of quality, A/S extension exchange price reliance of a manufacturing company a design etc. 3) Information search for the consumer's prior knowledge and importance showed high on the whole. The more prior knowledge consumer have the better they recognize for the importance of products. Therefore consumers are more likely to search information.

• 한국조리학회지
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• 제11권1호
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• pp.18-29
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• 2005

The study is to find the relationship between brand concept consistency and the consumer attitude toward the extended brand and the moderating roles of knowledge, involvement and typicality on their relationships in the food-service industry. In the severely competitive market, brand extension strategy has become a key strategy to the companies that are trying to expand in the new market and to cut down the marketing cost. First , the similarity which is measured by consistency of brand concept has a positive effect on the consumer attitude toward the extended brand. Second, the knowledge on the original brand has moderating effect on the relationship between consistency of brand concept and the consumer attitude toward the extended brand. More knowledge brings on more favorable attitudes.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2001년도 The Pacific Aisan Confrence On Intelligent Systems 2001
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• pp.435-440
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• 2001

The development of web-aware knowledge discovery system has received a great deal of attention in recent years. It plays a key-enabling role for competitive businesses in the E-commerce era. One of the challenges in developing web-aware knowledge discovery systems is to integrate and coordinate and coordinate existing standalone or legacy knowledge discovery applications in a seamless manner, so that cost-effective systems can be developed without the need of costly proprietary products. In this paper, we present an approach for developing a framework of web-aware interoperable knowledge discovery system to achieve this purpose. This approach applies RMI and high-level code wrapper of Java distributed object computing to address the issues of interoperability in heterogeneous environments, which includes programming language, platform, and visual object model. The effectiveness of the proposed framework is demonstrated through the integration and extension of the two well-known standalone knowledge discovery tools, SOM_PAK and Nenet. It confirms that a variety of interoperable knowledge discovery systems can be constructed efficiently on the basis of the framework to meet various requirements of knowledge discovery tasks.

• 농촌지도와개발
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• 제24권1호
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• pp.49-61
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• 2017

The community development program is a project to design to develop rural areas and to enhance the situation of rural community. Participation in community development is the key to promoting efficiency for community development. The purpose of this study was to discuss the result of application of learning phase for capacity building of community development. This study examined cases from rural area, using examples from eight communities that have been able to get people's participation. These examples suggest that the learning phases for rural communities include five important factors: sharing the perception, setting a goal, goal refinement, empowerment, vision setting. After completing the rural community development program, the result of each steps were analyzed. The result of this study contributes to knowledge about phase for capacity building in the community development and suggests ways to increase of effectiveness of rural development program and promote participation based on an understanding of a rural community development context.

• 한국학교수학회논문집
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• 제4권1호
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• pp.125-136
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• 2001

This research is about how the adapted learning of descriptive assessment problems influence on the extension of the ability of the students. As a result, adapted learning of descriptive assessment problems totally led to positive effect, and according to the analyses of behavioral objectives divided into knowledge, comprehension and problem solving, they had more effect on the ability of students' problem solving. Learning attitude of the students were changed into self-centered learning attitude and interest on the subject of mathematics were highly increased since the research had started. If we adapt this research to the learning of mathematics after we develop various problems that can develop creativity, I'm sure that it will be a effective way for both extension of the ability and problem solving ability of the students.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2014년도 춘계 학술논문 발표대회
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• pp.298-299
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• 2014

As a governmental plan for real estate revitalization, remodeling vertical extension has been permitted. Thus, the Ministry of Land, Infrastructure and Transport preannounced proclaiming the revised Housing Act and establishing the remodeling basic plan, and it is anticipated that the remodeling market will be revitalized in earnest after the enforcement of remodeling vertical extension(April 25th. 2014). As vertical extension is applicable up to 3 stories, the safety of building for remodeling is becoming important, so most remodeling construction works use various methods for structural reinforcement. In this process, the selection of structural reinforcement method has depended on structural engineer's experience and knowledge and there has been a limitation in selecting the optimum structural reinforcement method which considers remodeling project characteristics. Therefore, this study analyzed the factors to determine the kinds of structural reinforcement method in a remodeling project and suggested a process to select the best structural reinforcement method of remodeling construction.

• 농촌계획
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• 제18권2호
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• pp.39-45
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• 2012

The objective of this study was to analyze the determinant factors in the new agricultural technology acceptance targeted to the automatic switchgear for heat-retaining mulching used on the oriental melons farms. The probit and the logit models were estimated using survey data. The result indicated that the level of income, innovativeness, and reliability are important factors of the new agricultural technology acceptance. Therefore, it is considered the level of income, innovativeness, and reliability in advance to extend the new agricultural technology quickly.

• 농촌계획
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• 제19권2호
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• pp.11-20
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• 2013

Consumer preference, marketing environment and various agricultural policy were changed recently. So it is necessary to analyze the consumption behavior for selection the target market. In this paper, we analyzed the consumption behavior and the brand positioning using oriental melon. From the results of analysis, firstly, consumers' age, job, education and the number of member of household were effected to consumption behavior of oriental melon. Secondly, the marketing factor was the most important when purchasing oriental melon. Thirdly, the brand of Sung-Ju Oriental Melon was evaluated to the best brand on brand name, brand image and brand message.

• 한국지능시스템학회논문지
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• 제14권6호
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• pp.764-770
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• 2004

This paper presents a hybrid data mining mechanism to extract expert knowledge from historical data and extend expert systems' reasoning capabilities by using fuzzy neural network (FNN)-based learning & rule extraction algorithm. Our hybrid data mining mechanism is based on association rule extraction mechanism, FNN learning and fuzzy rule extraction algorithm. Most of traditional data mining mechanisms are depended ()n association rule extraction algorithm. However, the basic association rule-based data mining systems has not the learning ability. Therefore, there is a problem to extend the knowledge base adaptively. In addition, sequential patterns of association rules can`t represent the complicate fuzzy logic in real-world. To resolve these problems, we suggest the hybrid data mining mechanism based on association rule-based data mining, FNN learning and fuzzy rule extraction algorithm. Our hybrid data mining mechanism is consisted of four phases. First, we use general association rule mining mechanism to develop an initial rule base. Then, in the second phase, we adopt the FNN learning algorithm to extract the hidden relationships or patterns embedded in the historical data. Third, after the learning of FNN, the fuzzy rule extraction algorithm will be used to extract the implicit knowledge from the FNN. Fourth, we will combine the association rules (initial rule base) and fuzzy rules. Implementation results show that the hybrid data mining mechanism can reflect both association rule-based knowledge extraction and FNN-based knowledge extension.