• Women's Health Nursing
• /
• v.16 no.4
• /
• pp.317-325
• /
• 2010

Purpose: This study was to examine the differences in health belief variables and HPV (Human Papillomavirus) knowledge in Pap smears according to the stages of change using Trans-theoretical Model (TTM) among married nurses. Methods: The research design was a cross sectional survey. Participants were 387 married nurses working in general hospital located metropolitan city. Measurement variables were perceived threatening, perceived severity, benefits of Pap, HPV knowledge and stages of the change in Pap smear. Results: Classified stages were pre-contemplation 3.9%, contemplation 17.8%, relapsing 29.5%, action 31.0%, and maintenance 17.8%. Accuracy rate of HPV knowledge were low ranging from 15% to 45%. Among the variables, perceived threatening (F=3.56, p=.007), perceived severity (F=9.73, p<.001) and HPV knowledge (F=7.52, p<.001) were significantly different by stages of change. Conclusion: Application of TTM to Pap smears was efficient to know the nurse's level of health behaviors, Health belief variables and HPV knowledge were main factors to identify the stages of change. The continuation of Pap smears and the education in relation to HPV knowledge should be encouraged for married nurses.

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 2006.05a
• /
• pp.635-636
• /
• 2006

A knowledge-based system with CAD is widely used to implement a designer's know-how and a routine calculation within a system. An engineer needs to change several design parameters in an early design stage. However it is not easy to change the design parameters when it needs to update an existing model and data. In this paper, a module has been proposed to make it easy to change the design parameter so that the engineer can easily update and change the design model. Also a flexible interface of the module can easily add or extract the design knowledge.

• The Korean Nurse
• /
• v.36 no.2
• /
• pp.49-63
• /
• 1997

This study was performed to provide preliminary data for the development of a useful instrument to measure the effect of sex education. The study was conducted with the voluntary participation of 155 college students enrolled in the course "Sexuality and Relationship" at Y university in Seoul. At the end of that course, they were asked to write freely about the change they had experienced on sexuality. All meaningful statements were elicited and classified into 7 categories; "Change of Knowledge", "Enlightenment", "Change of Attitude on Sexuality", "Buildup of Ability", "Buildup of. Identity", "Change of Emotion", "Change of Behavior:' There were significant changes in the areas of knowledge(28. 6%), enlightenment(27.4%), and attitudes(20.3%) about sexuality among these 7 categories. The Change of Knowledge category consists of 3 areas: "concretion of knowledge", "increase of information", and "correction of misunderstanding." In the category of Enlightenment, total 12 areas are included: "sex role", "erception of lack of knowledge", "importance of family", "life plan", "parent role", "value of life", "equality", "sexual autonomy", "importance of sexuality", "freedom of sexuality", "perception of sexual problem", and "meaning of love." The Attitude Change category consists of 8 areas. These are "being natural", "being progressive", "being sensitive", "being truthful", "being expressive", "being cautious", "being responsible", and "being confident". The category of Buildup of Ability includes 4 areas: "problem solving", "sex education", "relationship", and "communication". The category of Buildup of Identity includes "sexual identity", and "value of sexuality". The Emotional Change category includes 3 areas: "positive feeling", "negative feeling", and "breaking from negative feeling on sexuality". The Behavior Change category includes "sex-related behavioral change". In conclusion, up to now most researches on sex education effect measures only changes of knowledge, attitude, and behavior. But we believe the changes in "Enlightenment", "Buildup of Ability", "Buildup of Identity", "Change of Emotion", should be included in addition to knowledge, attitude, and behavior in the development of an instrument to measure the sex education effects. And the effect of sex education should measure the degree of learning of autonomy, enlightenment, and ability of behavior and so on rather than studying the simple changes in sexuality.enment", "Buildup of Ability", "Buildup of Identity", "Change of Emotion", should be included in addition to knowledge, attitude, and behavior in the development of an instrument to measure the sex education effects. And the effect of sex education should measure the degree of learning of autonomy, enlightenment, and ability of behavior and so on rather than studying the simple changes in sexuality.ng the simple changes in sexuality.

• Proceedings of the KSRS Conference
• /
• 2003.11a
• /
• pp.47-49
• /
• 2003

Automatic land use and land cover change (LUCC) detection via remotely sensed imagery has a wide application in the area of LUCC research, nature resource and environment monitoring and protection. Under the condition that one time (T1) data is existed land use and land cover maps, and another time (T2) data is remotely sensed imagery, how to detect change automatically is still an unresolved issue. This paper developed a land use and land cover class knowledge guided method for automatic change detection under this situation. Firstly, the land use and land cover map in T1 and remote sensing images in T2 were registered and superimposed precisely. Secondly, the remotely sensed knowledge database of all land use and land cover classes was constructed based on the unchanged parcels in T1 map. Thirdly, guided by T1 land use and land cover map, feature statistics for each parcel or pixel in RS images were extracted. Finally, land use and land cover changes were found and the change class was recognized through the automatic matching between the knowledge database of remote sensing information of land use & land cover classes and the extracted statistics in that parcel or pixel. Experimental results and some actual applications show the efficiency of this method.

• Korean Journal of Human Ecology
• /
• v.20 no.3
• /
• pp.583-594
• /
• 2011

The purpose of this study is to develop and evaluate a climate change education program for children in early childhood. The program was developed to enhance young children's ability to prepare for climate change. The program consists of 15 30-minute sessions. 38 5-year-olds (23 boys and 15 girls) participated in this program. The effects of this program were evaluated by the pre-school children's knowledge and problem solving abilities preventing climate change. Results showed that there was a significant experimental effect for knowledge of how to prevent climate change. Experimental group showed more knowledge than the control group. Also, there was a significant experimental effect on the problem solving abilities for preventing climate change. The experimental group showed greater problem solving abilities than the control group. The results of program evaluation revealed that this program was helpful for preparing young children for climate change.

• International Journal of CAD/CAM
• /
• v.3 no.1_2
• /
• pp.43-50
• /
• 2003

This paper presents a methodology in which the knowledge of design intents and change requests is communicated unambiguously cross collaboration partners through features. The domain of application is focused on the plastic part design for enabling effective collaboration between the product design and plastic mold making. The methodology takes the feature-based design approach and allows design features and knowledge to be reused in plastic injection mold design. It shortens the mold design lead-time, reduces mold design efforts, and enables unambiguous and fast design change management between product and mold designers. These contribute to the reduction of product development cycle time.

• Knowledge Management Research
• /
• v.13 no.5
• /
• pp.65-89
• /
• 2012

Recognizing the significance of inter-firm cooperation for firm's sustainable competitive advantage in today's business environment, this study investigates the effects of inter-firm cooperation and knowledge sharing on firm competitiveness based on 327 Korean small and medium sized enterprises. We also examines a mediating effects of knowledge sharing on the relationship between inter-firm cooperation and firm competitiveness and moderating effects of environmental factors on this relationship. The environmental factors are conceptualized by intensity of market competition and technological change. The main findings of the study are as follows: First, the paper found that inter-firm cooperation was positively associated with firm competitiveness while there was also a positive relationship between knowledge sharing and firm competitiveness. Second, it also shows that knowledge sharing partially mediated the relationship of inter-firm cooperation and firm competitiveness. Third, we also found that technological change had negative moderating effects on the relationship between inter-firm cooperation and firm competitiveness. This study suggests that understanding of inter-firm cooperation with consideration of environmental characteristics are required for better firm competitiveness.

• Journal of Intelligence and Information Systems
• /
• v.19 no.1
• /
• pp.111-123
• /
• 2013

Semantic similarity/relatedness measure between two concepts plays an important role in research on system integration and database integration. Moreover, current research on keyword recommendation or tag clustering strongly depends on this kind of semantic measure. For this reason, many researchers in various fields including computer science and computational linguistics have tried to improve methods to calculating semantic similarity/relatedness measure. This study of similarity between concepts is meant to discover how a computational process can model the action of a human to determine the relationship between two concepts. Most research on calculating semantic similarity usually uses ready-made reference knowledge such as semantic network and dictionary to measure concept similarity. The topological method is used to calculated relatedness or similarity between concepts based on various forms of a semantic network including a hierarchical taxonomy. This approach assumes that the semantic network reflects the human knowledge well. The nodes in a network represent concepts, and way to measure the conceptual similarity between two nodes are also regarded as ways to determine the conceptual similarity of two words(i.e,. two nodes in a network). Topological method can be categorized as node-based or edge-based, which are also called the information content approach and the conceptual distance approach, respectively. The node-based approach is used to calculate similarity between concepts based on how much information the two concepts share in terms of a semantic network or taxonomy while edge-based approach estimates the distance between the nodes that correspond to the concepts being compared. Both of two approaches have assumed that the semantic network is static. That means topological approach has not considered the change of semantic relation between concepts in semantic network. However, as information communication technologies make advantage in sharing knowledge among people, semantic relation between concepts in semantic network may change. To explain the change in semantic relation, we adopt the cognitive semantics. The basic assumption of cognitive semantics is that humans judge the semantic relation based on their cognition and understanding of concepts. This cognition and understanding is called 'World Knowledge.' World knowledge can be categorized as personal knowledge and cultural knowledge. Personal knowledge means the knowledge from personal experience. Everyone can have different Personal Knowledge of same concept. Cultural Knowledge is the knowledge shared by people who are living in the same culture or using the same language. People in the same culture have common understanding of specific concepts. Cultural knowledge can be the starting point of discussion about the change of semantic relation. If the culture shared by people changes for some reasons, the human's cultural knowledge may also change. Today's society and culture are changing at a past face, and the change of cultural knowledge is not negligible issues in the research on semantic relationship between concepts. In this paper, we propose the future directions of research on semantic similarity. In other words, we discuss that how the research on semantic similarity can reflect the change of semantic relation caused by the change of cultural knowledge. We suggest three direction of future research on semantic similarity. First, the research should include the versioning and update methodology for semantic network. Second, semantic network which is dynamically generated can be used for the calculation of semantic similarity between concepts. If the researcher can develop the methodology to extract the semantic network from given knowledge base in real time, this approach can solve many problems related to the change of semantic relation. Third, the statistical approach based on corpus analysis can be an alternative for the method using semantic network. We believe that these proposed research direction can be the milestone of the research on semantic relation.

• Journal of Forest and Environmental Science
• /
• v.29 no.3
• /
• pp.181-193
• /
• 2013

Climate change is considered to be one of the most serious threats and its impact is felt by the most vulnerable world's poorest countries including Bangladesh. In particular, ethnic communities, whose livelihoods depend on the use of natural resources, are likely to bear the brunt of adverse impacts. A case study was conducted in a fragile ecosystem of Lawachara national park of Bangladesh, to know the indigenous knowledge of the ethnic communities, how they adapt with the climate change impact by using indigenous knowledge. They use various IK to protect their crops from climate change impact. Thus, government should design policies which will be helpful to make them more resilience to face climate change impact.

• Journal of Information Technology Services
• /
• v.8 no.1
• /
• pp.143-163
• /
• 2009

The study investigates the challenge of knowledge maintenance in the KMSs. Knowledge pieces are the embodiment of structures in an organization and need to be modified tuned to environmental change over time. Since the change of knowledge in the KMS is not made automatically, it requires user's active participation which is called maintenance action. This study shows that users are not voluntary in taking maintenance action with empirical data based upon knowledge pieces that are already established in the KMS. This article shows that the intention of maintaining KMS is negatively influenced by KM-related culture, organizational culture and the authority of knowledge piece rather than the organizational demography. An organizational culture has an influence directly upon the intention of maintaining knowledge but influence upon KM-related culture or the authority of knowledge piece, the influence indirectly related to the intention of maintaining knowledge. It can be argued that the organizational demography have only meager influence upon the intention of maintaining knowledge only by KM-related culture. This research has the implication that what factors are to be considered in maintaining knowledge pieces over time for the organization managers.