• Title/Summary/Keyword: recognition-rate

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Effect of Early Pregnancy Diagnosis Using Ultrasonography on the Subsequent Embryo and Fetal Loss in Dairy Cows (젖소에서 초음파 조기 임신진단이 태아사 발생에 미치는 영향)

  • Kim, Ill-Hwa;Lee, Je-In;Kim, Ui-Hyung;Kang, Hyun-Gu
    • Journal of Veterinary Clinics
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    • v.25 no.2
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    • pp.85-89
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    • 2008
  • This study assessed the incidence of embryo and fetal loss following early pregnancy diagnosis using ultrasonography in dairy cows. A positive pregnancy was a recognition of the vesicle, embryo or fetus by ultrasonography. Seven hundreds and two pregnancies determined by ultrasonography following artificial insemination were divided into three groups according to the number of days diagnosed pregnant: early A group (27 to 40 days, n = 143), early B group (41 to 50 days, n = 172), or standard group (51 to 70 days, n = 387). Following a positive pregnancy diagnosis, embryo or fetal loss included all cows with observed abortions and cows found open after the positive pregnancy diagnosis. The incidence rate of embryo or fetal loss within 7 days after pregnancy diagnosis was 1.4, 0.6 and 0.3% for the early A, early B, and standard groups, respectively (P>0.05). The incidence of the embryo or fetal loss during 8 to 30 days after pregnancy diagnosis did not differ (P>0.05) among the early A (0%), early B (1.2%), and standard groups (1.0%). Furthermore, the cumulative incidence of the embryo or fetal loss before calving did not differ (P>0.05) among the early A (9.8%), early B (9.3%), and standard groups (5.9%). These results indicate that early pregnancy diagnosis using ultrasonography does not increase the risk of embryo and fetal loss compared with that of routine pregnancy diagnosis in dairy cows.

The Consumer's Current Use and Popularization Development Plan for Foodservice Social Enterprise Type Cafe (외식사회적 기업형 카페에 대한 소비자의 이용실태 및 대중화 발전방안)

  • Ahn, Hye-Young;Kim, Soo-Min;Hwang, Hye-Sun;Hong, Wan-Soo
    • Korean journal of food and cookery science
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    • v.32 no.1
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    • pp.65-75
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    • 2016
  • The purpose of this study was to investigate the consumer's current use and recognition for foodservice social enterprises type cafe. During the research, problems regarding the developmental directions of foodservice social enterprises type cafe. A one-to-one survey method was used for data collection, and 301questionnaires among the 309 distributed questionnaires to consumers were analyzed (97.4% response rate). The main results of the study were as follows : with reference to the awareness of the foodservice social enterprise type cafe, a majority of respondents (81.1%) replied that they had knowledge related to the business of social enterprise. Furthermore, regarding how customers came to know about the foodservice social enterprise type cafe results showed that 28.2% of respondents knew about the cafe by acquaintances such as friend, co-worker, family, 23.2% by mass media, and 27.2% by others. Data concerning a companion when visiting the cafe, revealed that more than half of the respondents (80.0%) had visited with friend and co-worker. On problems with using the cafe, approximately 46.2% of the respondents replied that there was lack of public relation and 28.9% replied that it was an uncommon store. Since the findings suggested that the major problem is a lack of promotion, foodservice social enterprises type cafe should prepare organized brochures and guide system to attract customers with various purposes and values. Finally, the promotion for foodservice social enterprise type cafe requires a guidance map.

A Development of The Road Surface Decision Algorithm Using SVM(Support Vector Machine) Clustering Methods (SVM(Support Vector Machine) 기법을 활용한 노면상태 판별 알고리즘 개발)

  • Kim, Jong Hoon;Won, Jae Moo
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.12 no.5
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    • pp.1-12
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    • 2013
  • Road's accidents caused by Ice, snow, Wet of roads surface conditions and weather conditions situations that are constantly occurring. That is, driver's negligence and safe driving ability of individuals due to lack of awareness, and Road management main agent(the government and the public, etc.) due to road conditions, if there is insufficient information. So Related research needs is a trend that is required. In this study, gather Camera(Stereo camera)'s image data, and analysis polarization coefficients and wavelet transform. And unlike traditional single-dimensional classification algorithms as multi-dimensional analysis by using SVM classification techniques, develop an algorithm to determine road conditions. Four on the road conditions (dry, wet, snow, ice) recognition success rate for the detection and analysis of experiments.

A Study on Usability Improvement of Instagram for Users in their 40s and 50s (40~50대 사용자 유입을 위한 인스타그램 사용성 개선에 관한 연구)

  • Yu, Sung-ho
    • Journal of the Korea Convergence Society
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    • v.9 no.9
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    • pp.177-182
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    • 2018
  • Recently, the use of SNS has been steadily increasing in the 40s and 50s in Korea. In order to increase the number of users in the global service brand, such as Instagram, facing the limit situation of new users, 40 ~ 50 new entrants are needed. However, 40 ~ 50s in Korea are not easily able to use these services because they have difficulties in these services. In this study, usability test is performed in terms of UX / UI about what is difficult for users in 40 ~ 50s to use in instagram, and what is the barriers to entry compared to domestic service The results are as follows. First, when localizing a global service, it is easy to understand, not a simple translation, and proper labeling should be considered. Second, major and frequently used functions should be considered to be intuitive to simplify the depth. Third, the design should be improved to increase the recognition rate of icons in terms of GUI. If possible, the combination of text and icons provided good results.

Application of Lateral Osteotomy in Nasal Bone Fracture (비골 골절에서 외측 비골 절골술의 적용)

  • Lim, Kwang Ryeol;Song, Jennifer K.;Hwang, So Min;Jung, Yong Hui;Cho, Ka Hyung
    • Archives of Craniofacial Surgery
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    • v.13 no.2
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    • pp.104-110
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    • 2012
  • Purpose: Who may dare to state that optimal choice of treating nasal bone fracture is closed reduction? Few decades of authors' experience in nasal bone fracture has lead to believe that more active and assertive approach in nasal bone fracture by performing simultaneous lateral osteotomy may be applied in proper indications to acquire more accurate reduction and cosmetically satisfying result. Methods: From May 2008 to October 2009, among 241 nasal bone fracture patients, 20 patients underwent simultaneous lateral osteotomy with nasal bone fracture reduction. Followed by rigid septal correction, nasal cavity is packed to stabilize the fracture segment for safer osteotomy. Through intranasal incision, in selected cases of difficult reduction or for cosmetic purposes, various types of lateral osteotomy was performed corresponding to the fracture anatomy, conditions of the nasal cavity. Postoperative nasal packing was retained for one week and nasal dorsum splint for 3 weeks. Results: Lateral osteotomy was utilized for difficult cases of closed reduction, for correction of wide nose, hump and deviation in 9, 5, 2, and 4 cases, respectively. Patient satisfaction was scaled 90% in satisfaction and moderate in 10% (2 cases), complaining of mild nasal tip deviation. Physicians detected 2 cases of apparent deformity with patient recognition; one patient with mild step deformity at the osteotomy site and the other patient with minimal implant mobility. Conclusion: By accompanying profound understanding of the fracture anatomy, more active and assertive approach in nasal fracture reduction can be coincide with simultaneous lateral osteotomy to reduce the rate of secondary deformity and to obtain more cosmetically satisfying result.

Face Detection Using Skin Color and Geometrical Constraints of Facial Features (살색과 얼굴 특징들의 기하학적 제한을 이용한 얼굴 위치 찾기)

  • Cho, Kyung-Min;Hong, Ki-Sang
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.36S no.12
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    • pp.107-119
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    • 1999
  • There is no authentic solution in a face detection problem though it is an important part of pattern recognition and has many diverse application fields. The reason is that there are many unpredictable deformations due to facial expressions, view point, rotation, scale, gender, age, etc. To overcome these problems, we propose an algorithm based on feature-based method, which is well known to be robust to these deformations. We detect a face by calculating a similarity between the formation of real face feature and candidate feature formation which consists of eyebrow, eye, nose, and mouth. In this paper, we use a steerable filter instead of general derivative edge detector in order to get more accurate feature components. We applied deformable template to verify the detected face, which overcome the weak point of feature-based method. Considering the low detection rate because of face detection method using whole input images, we design an adaptive skin-color filter which can be applicable to a diverse skin color, minimizing target area and processing time.

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A VLSI Pulse-mode Digital Multilayer Neural Network for Pattern Classification : Architecture and Computational Behaviors (패턴인식용 VLSI 펄스형 디지탈 다계층 신경망의 구조및 동작 특성)

  • Kim, Young-Chul;Lee, Gyu-Sang
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.33B no.1
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    • pp.144-152
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    • 1996
  • In this paper, a pulse-mode digital multilayer neural network with a massively parallel yet compact and flexible network architecture is presented. Algebraicneural operations are replaced by stochastic processes using pseudo-random pulse sequences and simple logic gates are used as basic computing elements. The distributions of the results from the stochastic processes are approximated using the hypergeometric distribution. A statistical model of the noise(error) is developed to estimate the relative accuracy associated with stochastic computing in terms of mean and variance. Numerical character recognition problems are applied to the network to evaluate the network performance and to justify the validity of analytic results based on the developed statistical model. The network architectures are modeled in VHDL using the mixed descriptions of gate-level and register transfer level (RTL). Experiments show that the statistical model successfully predicts the accuracy of the operations performed in the network and that the character classification rate of the network is competitive to that of ordinary Back-Propagation networks.

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Characteristics of Learning Contents and Activities According to the Invention Education Managerial System for the Gifted at Elementary School Level (발명영재교육 운영체제별 초등 발명영재 수업내용 및 수업활동 분석)

  • Maeng, Hee-Ju;Seo, Hae-Ae
    • Journal of Korean Elementary Science Education
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    • v.29 no.1
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    • pp.1-12
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    • 2010
  • The purpose of this study is to analyze elementary school students' class contents and activities between the invention class for the gifted under the local education office by the 'Gifted Education Promotion Act' and that under the invention classroom by the 'Invention Promotion Act'. For this study, the survey was conducted to 1,788 elementary school students who attended the invention class for the gifted both under the local education office and under the invention classroom. The analysis of the survey showed that the students of the invention class for the gifted under the local education office had higher motivation and participation rate in class, higher interest in invention, and stronger significantly in a future oriented will than those under the invention classroom. The parents of the invention class for the gifted under the local education office showed more enthusiastic attitude to support their students, and had significantly stronger recognition that the participation of the students in the invention education for the gifted helped enter an advanced school than those under the invention classroom. However, the class contents of the invention class for the gifted under the local education office such as 'understanding the influence of the invention history and products on society', 'scientific inquiry skills for problem solving', 'technological and engineering abilities for creating an invention', 'developing knowledge and abilities about business and management by using a new invention' were not different from those under the invention classroom. In addition, discussion and presentation were not active in the class activities of the invention class for the gifted under the local education office. Therefore, the researchers should compensate and develop a program which can apply strategically differentiated class contents and class activities to the students who participate in the invention class for the gifted under the local education office by the 'Gifted Education Promotion Act'.

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A Research on the Actual Condition of Education on the Western Clothing Construction in Home Economics and Housework Curriculum of High School in Chonbuk Province (전라북도 고등학교 가정.가사 과목의 서양의복구성 교육실태)

  • 강혜정;김용숙
    • Journal of Korean Home Economics Education Association
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    • v.4 no.1
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    • pp.57-75
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    • 1992
  • The purpose of this study was to survey the actual condition of education on the western clothing construction in Home Economics and Housework curriculum of high school. And the finding of this study will the helpful to the persons in authority who take part in the course of compilation of the western clothing contruction. The subjects of this study were 101 high school teachers in Chonbuk province. Their responses to the questionaires were analyzed by frequencies and percentiles. The major findings of the study were as follows. 1. Most high school had only a little educational facilities for learning of clothing construction of, if any, they could only show examples in practice. 2 In case of making clothes, students who sew by hand carried out drafting and cutting on their desks in the classroom. When they have practical training, 56.4% of them cheese only one of one-piece dress trousers, and skirt which are presented in the textbook. The related teachers indicated that content composition of the texbook was not fit for the purpose of the students level, and also pointed out the deficiencies of educational facilities, lack of teacher’s research and training, and lack of school hours of evaluation, practical skill was performed in parallel with paper-test at 73.3%. 3. Pajamas and one-piece dress presented in the textbook were the most suitable for the practice at 64.7%. They hoped that illustrations in textbook are so large and full that clothes made through the practice can be worn. Also they hoped that their opinions and wearable guidance will be reflected in the textbook. They emphasized the need of western clothing construction unit because of acquistion of elementary knowledge. The current amount of content composition was enough or excessive. In addition, they understood the curriculum of high school is rather closely connected with that of middles school. Their recognition of the rate of difficulty is very similar to that of other school teachers. They recognized the goal of learning should be applied to the real home life.

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Performance Improvement of Fast Speaker Adaptation Based on Dimensional Eigenvoice and Adaptation Mode Selection (차원별 Eigenvoice와 화자적응 모드 선택에 기반한 고속화자적응 성능 향상)

  • 송화전;이윤근;김형순
    • The Journal of the Acoustical Society of Korea
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    • v.22 no.1
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    • pp.48-53
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    • 2003
  • Eigenvoice method is known to be adequate for fast speaker adaptation, but it hardly shows additional improvement with increased amount of adaptation data. In this paper, to deal with this problem, we propose a modified method estimating the weights of eigenvoices in each feature vector dimension. We also propose an adaptation mode selection scheme that one method with higher performance among several adaptation methods is selected according to the amount of adaptation data. We used POW DB to construct the speaker independent model and eigenvoices, and utterances(ranging from 1 to 50) from PBW 452 DB and the remaining 400 utterances were used for adaptation and evaluation, respectively. With the increased amount of adaptation data, proposed dimensional eigenvoice method showed higher performance than both conventional eigenvoice method and MLLR. Up to 26% of word error rate was reduced by the adaptation mode selection between eigenvoice and dimensional eigenvoice methods in comparison with conventional eigenvoice method.