• Journal of the Korean Society of Clothing and Textiles
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• v.22 no.6
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• pp.760-771
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• 1998

The purpose of this study is to clarify the concept and construct of the problem recognition stage in consumer decision making process of apparel Purchase. This study was supplemented by the theoretical study and field interviews. 40 women were interviewed on their apparel purchase situation to identify problem recognition process. As a result, the concept of problem recognition in apparel purchase is the perceived difference between the ideal state of apparel affairs and the actual situation sufficient to arouse and activate the decision making process. And the problem recognition stage in apparel purchase is constituted of the following steps: gestation, categorization, problem definition, and purchase intention formation. In most cases, these four steps existed, but in some cases several steps were deleted or condensed.

• Journal of Korean Elementary Science Education
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• v.29 no.2
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• pp.124-133
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• 2010

The study presents preliminary research on how science activities focusing on problem recognition worked and affected students' perception of their learning environment in a sixth science classroom. The science activities were based on the Science Writing Heuristic (SWH) which was suggested by Keys, Hand, Prain & Collins (1999), where problem recognition was an important part of scientific inquiry. For developing the working sheets for the modified SWH in this study, analyses of target units of 6th grade science curriculum in the aspects of problem recognition were conducted. After consecutive 6 classes with the developed working sheets for sixth graders, the student working sheets for each lesson were collected and analyzed. In order to investigate the developed units' affect on student learning, students' perceptions of their learning environment were administered before and after the applied classes. Students working sheets and questionnaires on their perceptions of learning environment indicated that students perceived that the science activities were more student-centered classes where students had active discussion and dialogue with one another giving them more chances to actively take part in the class as well as they used more properly recognized their inquiry problem.

• The Journal of Korean Academic Society of Nursing Education
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• v.18 no.2
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• pp.276-283
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• 2012

Purpose: This study was carried out to identify the effects of classroom lectures on adolescent nursing education in distance education. Method: The design of this study was a quasi-experimental research with nonequivalent control group, pretest-posttest design. The subjects of this study were 434 nurses in K open university. Data were collected from April to June, 2009 by the adolescent delinquency measurement scale and questionnaire for awareness of the issue in adolescent health education. Result: The both groups perceived the biggest problem as the lack of assigned education time in adolescent health education. After receiving education, the experimental group improved significantly more than the control group in recognition of adolescent problem behavior which is in interpersonal, intermaterial, order, drug, sex, position, alcohol/smoking delinquency and psychiatric problem. Conclusion: This adolescent nursing education is an effective education for nurses and could improve their recognition of adolescent problem behavior.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.9 no.1
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• pp.119-127
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• 2000

In this study the classified researches the artificial and natural flaws in welding parts are performed using the pattern recognition technology. For this purpose the signal pattern recognition package including the user defined function was developed and the total procedure including the digital signal processing feature extraction feature selection and classifi-er selection is teated by bulk,. Specially it is composed with and discussed using the statistical classifier such as the linear discriminant function the empirical Bayesian classifier. Also the pattern recognition technology is applied to classifica-tion problem of natural flaw(i.e multiple classification problem-crack lack of penetration lack of fusion porosity and slag inclusion the planar and volumetric flaw classification problem), According to this result it is possible to acquire the recognition rate of 83% above even through it is different a little according to domain extracting the feature and the classifier.

• Journal of the Korean Dietetic Association
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• v.6 no.2
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• pp.71-78
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• 2000

Environmental pollution induced by food wastes is considered as one of very serious problems in the world, and it is the most important to reduce the production of food wastes. In this study, environmental campaign for reducing food waste was conducted by applying various campaign methods using such as a bulletin board, intra-network, slogans & posters and news letters, as well as some systems such as penalty and prize in a business & industry foodservice. We investigated customers' recognition and execution degree before and after environmental campaign for the purpose of analyzing the changes of customers' attitude by the campaign. The subjects of this study had generally high level of recognition of environmental problem(3.09 point) compared to the execution degree(1.88 point)(Max. 5 points), implying necessity for the induction of actual execution of food wastes reduction by continuous environmental campaign. After environmental campaign, the recognition of environmental problem related to food wastes was significantly increased from 3.09 point to 3.29 point (p<0.001), and the execution degree for food wastes reduction was also greatly increased from 1.88 to 2.70 point (p<0.001). These changes indicated that campaign for food wastes reduction has raised customers' recognition and execution for environmental protection.

• The Journal of the Convergence on Culture Technology
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• v.4 no.3
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• pp.241-246
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• 2018

Because of the mechanical problems of input camera equipment, image restoration process is performed in order to minimize recognition errors due to the noise problem generated in test data image. The image restoration method resolves the noise problem by examining the numbers and positions of the Direct neighbors and the Indirect neighbors for each pixel constituting the test data. As a result, satisfactory recognition result can be obtained by eliminating the noise problem generated in the test data through the image restoration process as much as possible and also by calculating the differences between the learning data and the test data in the area unit, thereby reducing the possibility of recognition error by the noise problem.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1995.10a
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• pp.393-396
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• 1995

In this syudy, the researches classifying the artificial and natural flaws in welding parts are performed using the smart pattern recognition technology. For this purpose the smart signal pattern recognition package including the user defined function was developed and the total procedure including the digital signal processing,feature extraction , feature selection and classifier selection is treated by bulk. Specially it is composed with and discussed using the statistical classifier such as the linear disciminant function classifier, the empirical Bayesian classifier. Also, the smart pattern recognition technology is applied to classification problem of natural flaw(i.e multiple classification problem-crack,lack of penetration,lack of fusion,porosity,and slag inclusion, the planar and volumetric flaw classification problem). According to this results, if appropriately learned the neural network classifier is better than ststistical classifier in the classification problem of natural flaw. And it is possible to acquire the recognition rate of 80% above through it is different a little according to domain extracting the feature and the classifier.

• Journal of Computing Science and Engineering
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• v.10 no.4
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• pp.103-110
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• 2016

Emotion recognition is an important component of affective computing, and is significant in the implementation of natural and friendly human-computer interaction. An effective approach to recognizing emotion from text is based on a machine learning technique, which deals with emotion recognition as a classification problem. However, in emotion recognition, the texts involved are usually very short, leaving a very large, sparse feature space, which decreases the performance of emotion classification. This paper proposes to resolve the problem of feature sparseness, and largely improve the emotion recognition performance from short texts by doing the following: representing short texts with word cluster features, offering a novel word clustering algorithm, and using a new feature weighting scheme. Emotion classification experiments were performed with different features and weighting schemes on a publicly available dataset. The experimental results suggest that the word cluster features and the proposed weighting scheme can partly resolve problems with feature sparseness and emotion recognition performance.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.2
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• pp.342-348
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• 2017

This study examined the difference between parents' and teachers' recognition about problem behaviors of children. The findings showed that there was a distinct difference between parents' and teachers' recognition about all problem behaviors of children. Especially, teachers had more recognition about problem behaviors of children than parents. And the reactive interaction and the actual prevention in educational institutions were preferred in the difference between parents' and teachers' recognition about a teaching strategy for children, such that teachers had significantly higher recognition about a teaching strategy for children than parents did, while there was no significant difference in the strategy for social emotion. This means that teachers should originally control and manage various problem behaviors based on the common teaching strategy, which is socio-emotionally recognized, rather than the biased teaching strategy. But the teaching strategy of reactive interaction is preferred in accordance with the type of problem behaviors between teachers and children and the children who show problem behaviors. Especially, teaching strategies of reactive interaction and actual prevention focused on the inhibition and prevention of children's problem behaviors are preferred in light of children's characteristics of many unexpected problem behaviors.

• Women's Health Nursing
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• v.18 no.4
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• pp.279-289
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• 2012

Purpose: The purpose of this study was to explore the influence in a planned pregnancy of alcohol related family variables, knowledge and recognition of the effects of alcohol use during pregnancy on actual alcohol use during pregnancy. Methods: The participants were 284 women who had experienced a pregnancy at some time in their lives. The data were collected from December 2011 to January 2012 and the method of data collection was self-report questionnaires. The instruments for this study were AUDIT-K, Knowledge of alcohol use during pregnancy, and Recognition of alcohol use during pregnancy. Results: There were higher incidences of alcohol use during pregnancy when alcohol consumption was a problem, when there was a family member with an alcohol problem, or after having had an artificial abortion. There was no correlation in alcohol use during pregnancy with knowledge, but a correlation with recognition was found. Conclusion: The results of this study suggest that the main factor in alcohol use during pregnancy is recognition of the effects of alcohol use during pregnancy.