• The Korean Journal of Ecology
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• v.25 no.6
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• pp.365-369
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• 2002

We had 18 eggs artificially hatched in a mass breeding place of black-tailed gulls and examined the individual recognition between young siblings in a laboratory environment. The results of the experiment showed that the young gulls selectively responded to their siblings and non-siblings at an early stage after hatching. It was shown that they began to recognize the begging call among the voice signals of siblings and non-siblings 15-16 days after hatching, and the chirirah call 11-12 days after hatching. Also, more significant results were shown with the chirirah call than with the begging call. In an experiment of visual recognition between siblings and non-siblings, the young black-tailed gulls approached their siblings significantly 9-10 days after hatching. The recognition between young siblings in a mass breeding place provides an important evolutionary indicator in terms of their social behaviors.

• The Transactions of the Korean Institute of Electrical Engineers
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• v.40 no.4
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• pp.360-373
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• 1991

Since 70's, efficient speech recognition methods such as HMM or DTW have been introduced primarily for speaker dependent isolated words. These methods however have confronted with difficulties in recognizing continuous speech. Since early 80's, there has been a growing awareness that neural networks might be more appropriate for English and Japanese phoneme recognition using neural networks. Dealing with only a part of vowel or consonant set, Korean phoneme recognition still remains on the elementary level. In this light, we develop a system based on neural networks which can recognize major Korean phonemes. Through experiments using two neural networks, SOFM and TDNN, we obtained remarkable results. Especially in the case of using TDNN, the recognition rate was estimated about 93.78% for training data and 89.83% for test data.

• Journal of Christian Education in Korea
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• v.64
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• pp.323-345
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• 2020

This study investigated the recognition and difficulty of Christian early childhood education curriculum of Christian early childhood education by analyzing cases of Christian early childhood curriculum experienced by 10 Christian early childhood teachers with more than 4 years of experience in the metropolitan area. From April 4 to June 24, 2018, data were collected by transcribing through a total of 22 interviews: individual interviews (20 times) and group interviews (2 times). In order to categorize the interview data, derive the core categories, and increase the accuracy and validity of data interpretation, it was sent to the study participants for member check and verified by two early childhood education experts. As a result, the perception and difficulty of Christian early childhood teachers' perceptions and difficulties in the Christian curriculum were analyzed as 'Applying Church Education to Nuri Course', 'Applying Nuri Course to Church Education', and 'Learners Understanding for Integration of Church Education and Nuri Course' did. It is hoped that the understanding of the Christian early childhood curriculum will be helped through the recognition and difficulty of the Christian early childhood curriculum experienced by Christian early childhood teachers, and will be provided as basic data for finding a desirable Christian early childhood curriculum.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.6
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• pp.51-58
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• 2020

The blind people have difficulty living an independent clothing life. The furniture and home appliance are adding AI or IoT with the recent growth of the smart appliance market. To support the independent clothing life of the blind, this paper suggests a smart wardrobe with closet control function, voice recognition function and clothes information recognition using CNN algorithm. The number of layers of the model was changed and Maxpooling was adjusted to create the model to increase accuracy in the process of recognizing clothes. Early Stopping Callback option is applied to ensure learning accuracy when creating a model. We added Dropout to prevent overfitting. The final model created by this process can be found to have 80 percent accuracy in clothing recognition.

• International Journal of Reliability and Applications
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• v.10 no.1
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• pp.1-15
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• 2009

Even though the impact of manufacturing quality to reliability is not considered much as well as that of design area, a major cause of an early failure of the product is known as manufacturing problem. This research applies two different types of neural network algorithms, the Back propagation (BP) algorithm and Learning Vector Quantization (LVQ) algorithm, to identify and classify the nonrandom variation pattern on the control chart based on knowledge-based diagnosis of dimensional variation. The performance and efficiency of both algorithms are evaluated to choose the better pattern recognition system for auto body assembly process. To analyze hundred percent of the data obtained by Optical Coordinate Measurement Machine (OCMM), this research considers an application in which individual observations rather than subsample means are used. A case study for analysis of OCMM data in underbody assembly process is presented to demonstrate the proposed knowledge-based pattern recognition system.

• Journal of the Korean Home Economics Association
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• v.46 no.9
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• pp.71-85
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• 2008

This study examined the effects of a picture book literature education program in order to assess preschool children's recognition of and attitude towards picture books. The subjects were 56 five-year-old children, 30 of whom allocated to the experimental group and 26 to the control group. The literature education program lasted for 14 weeks. The control group children participated on the national early childhood education curriculum. Children were interviewed about their concepts, preferences, and attitudes towards picture books. The results indicated that compared to control group, children who participated in this program developed enhanced and richer concepts of picture books, displayed specific preferences, and put forward clearer reasons for their preference. ANCOVA result showed significant overall differences between the two groups. Children who participated in the ptrgram displayed more voluntary and active reading and applied the contents of the picture books to their real life situations.

• Journal of Korean Neurosurgical Society
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• v.65 no.3
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• pp.370-379
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• 2022

Abusive head trauma (AHT) is the most severe form of physical abuse in children. Such injury involves traumatic damage to the head and/or spine of infants and young children. The term AHT was introduced to include a wider range of injury mechanisms, such as intentional direct blow, throw, and even penetrating trauma by perpetuator(s). Currently, it is recommended to replace the former term, shaken baby syndrome, which implicates shaking as the only mechanism, with AHT to include diverse clinical and radiological manifestations. The consequences of AHT cause devastating medical, social and financial burdens on families, communities, and victims. The potential harm of AHT to the developing brain and spinal cord of the victims is tremendous. Many studies have reported that the adverse effects of AHT are various and serious, such as blindness, mental retardation, physical limitation of daily activities and even psychological problems. Therefore, appropriate vigilance for the early recognition and diagnosis of AHT is highly recommended to stop and prevent further injuries. The aim of this review is to summarize the relevant evidence concerning the early recognition and diagnosis of AHT. To recognize this severe type of child abuse early, all health care providers maintain a high index of suspicion and vigilance. Such suspicion can be initiated with careful and thorough history taking and physical examinations. Previously developed clinical prediction rules can be helpful for decision-making regarding starting an investigation when considering meaningful findings. Even the combination of biochemical markers may be useful to predict AHT. For a more confirmative evaluation, neuroradiological imaging is required to find AHT-specific findings. Moreover, timely consultation with ophthalmologists is needed to find a very specific finding, retinal hemorrhage.

• Proceedings of the CALSEC Conference
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• 1999.07a
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• pp.33-40
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• 1999

ㆍ No Conflict with Existing Investments in Physical stores ㆍ "First-Mover" Advantages: Early Lead in Market Share and Brand Recognition ㆍ Technology Infrastructure ㆍ "Web-Savvy" Management(omitted)

• Journal of the Institute of Convergence Signal Processing
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• v.14 no.2
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• pp.90-94
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• 2013

Research for Manchu character digitalization is at an early stage. This paper proposes a preprocessing algorithm for Manchu character recognition. This algorithm improves the existing Hilditch thinning algorithm so that it corrects thinning error for Manchu characters. The existing algorithm separates the characters into the left-hand side and right-hand side, while our alogorithm uses the central point between the points that strokes exist when it classifies each of characters. The experimentation results show that this method is valid for thinning and classification of Manchu characters.

• The Journal of Korean Society for School & Community Health Education
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• v.10 no.1
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• pp.35-46
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• 2009

Background & Objectives: The purpose of this study was to offer basic materials for the correct comprehension of dementia and of health education needs by comparing the students' recognition level of dementia. Methods: Three health major departments(the department of nursing science, physical therapy and occupational therapy) and three non-health major departments(the department of English, early childhood education and biology) were randomized in universities. And the 180 juniors students involved in this study and their level of educational experience and of recognition of dementia was analyzed. Results: There weas no difference about recognition of social welfare services between the students of health departments and non-health departments, but there were differences between them about other health education needs. Conclusion: Students of non-health majors who learn the subjects unrelated to dementia should get an education on dementia so that they can understand and recognize health education needs on dementia.