• Journal of the Institute of Electronics Engineers of Korea SC
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• v.46 no.2
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• pp.15-21
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• 2009

Hearing loss is one of the most common birth defects among infants. Most of hearing-impaired children are not diagnosed until 1 to 3 years of age - which is too late for the critical period (6 month) for normal speech and language development. If a hearing impairment is identified and treated in its early stage, child's speech and language skills could be comparable to his or her normal-hearing peers. For these reasons, hearing screening at birth and throughout childhood is extremely important. ABR (Auditory brain-stem response) is nowadays one of the most reliable diagnostic tools in the early detection of hearing impairment. In this study, we have developed the system that automatically detects if there is hearing impairment or not for infants or children. For future studies, it will be developed as a portable system to be able to take a measurement not only in sound proof room but also in nursery for neonates.

• KIPS Transactions on Software and Data Engineering
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• v.6 no.11
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• pp.537-542
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• 2017

Aggressive driving is a major cause of car accidents. Previous studies have mainly analyzed young driver's aggressive driving tendency, yet they were only done through pure clustering or classification technique of machine learning. However, since elderly people have different driving habits due to their fragile physical conditions, it is necessary to develop a new method such as enhancing the characteristics of driving data to properly analyze aggressive driving of elderly drivers. In this study, acceleration data collected from a smartphone of a driving vehicle is analyzed by a newly proposed ECA(Enhanced Clustering method for Acceleration data) technique, coupled with a conventional clustering technique (K-means Clustering, Expectation-maximization algorithm). ECA selects high-intensity data among the data of the cluster group detected through K-means and EM in all of the subjects' data and models the characteristic data through the scaled value. Using this method, the aggressive driving data of all youth and elderly experiment participants were collected, unlike the pure clustering method. We further found that the K-means clustering has higher detection efficiency than EM method. Also, the results of K-means clustering demonstrate that a young driver has a driving strength 1.29 times higher than that of an elderly driver. In conclusion, the proposed method of our research is able to detect aggressive driving maneuvers from data of the elderly having low operating intensity. The proposed method is able to construct a customized safe driving system for the elderly driver. In the future, it will be possible to detect abnormal driving conditions and to use the collected data for early warning to drivers.

• Korean Journal of Health Education and Promotion
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• v.14 no.2
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• pp.59-68
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• 1997

당뇨병은 고혈당을 조절 안할 경우에는 돌이킬 수 없는 신체적 합병증은 물론 정신적 손상까지 받지만, 고혈당은 노력만 하면 조절이 가능하며, 정상에 가까울 정도로 조절되면 정상인과 같은 삶을 영위할 수 있다. 그러나 보건의료 전문가의 인슐린 주사 요법, 식사 및 운동요법 등의 일방적인 처방만으로 성공적인 당조절을 기대하기에는 어려움이 있다. 그래서 당뇨병 환자에게 당뇨병이라는 것이 무엇이며, 어떻게 이 병을 스스로 조절할 수 있게 만드느냐가 더욱 중요한 것이다. 따라서 우리나라에서도 당뇨병에 대한 관심이 높아짐에 따라 각 지역과 의료기관마다 다양한 당뇨병 교육 프로그램이 실시되고 있다. 특히 소아 당뇨병 환자는 이러한 전통적인 당뇨병에 관한 교육을 통해서 당뇨병에 관한 지식은 많이 가지고 있지만, 당뇨병 자가 조절을 위한 환자 역할 행위(sick-role behavior)를 변화시키는데는 그다지 성공절이라 할 수 없다. Bandura(1977)는 자기 효능은 ‘할 수 있다는 자신감’으로 수행 성취, 대리 경험, 언어적 설득, 정서적 각성에 관한 정보에 의해 결정된다고 하였다. 따라서 이러한 정보들은 자기 효능을 증진시키기 위한 중재의 방향을 제시해 준다. 오늘날 이러한 정보를 활용한 중재 프로그램 중에서 가정과 학교를 떠나 자연 환경 속에서의 집단 활동을 통하여 사회 학습 경험을 하는 캠프 프로그램에 대한 관심이 높아지고 있다. 캠프에 참여한 당뇨병 아이들은 캠프 활동속에서 다른 동료 아이들이 자신이 갖고 있는 문제들을 성공적으로 해결해 나가는 것을 관찰하여 대리 경험하게 될 때 희망을 가지게 되며, 당뇨병을 가진 다른 동료들과 공통의 경험을 공유할 수 있는 기회를 갖게 되어 그들은 자신이 더 이상 혼자가 아니며 남과 ‘다르지’도 않다는 것을 깨닫게 되어 점차 자신감을 가지고 살아갈 수 있게 된다. 본 연구는 캠프 프로그램이 소아 당뇨병의 자기 효능을 증진시키고, 당뇨병 환자 역할 행위 이행 정도를 높여주는지를 규명해 봄으로써, 소아 당뇨병 환자를 위한 효과적인 간호 중재 방안을 제시하고자 비동등성 대조군 전후 실험 설계의 유사 실험 연구를 시도하였다. 1996년 8월 10일 부터 12월 12일까지 종합병원에서 추후 관리하고 있는 소아 당뇨병 환자중 선정 기준에 맞는 환자 41명을 연구대상으로 하였으며, 그 중 19명은 실험군으로 Bandura의 자기 효능 증진을 위한 정보원을 활용한 캠프 프로그램을 5박 6일간에 걸쳐 실시하였고, 다음 22명은 대조군으로 캠프 프로그램을 실시하지 않았다. 자료수집은 자기 효능 척도와 환자 행위 역할 이행 척도를 캠프 프로그램을 실시하기 전에 사전 조사를 하고 중재 후 4주째 사후 조사를 하였다. 수집된 자료는 SPSS/PC+로 Chi-square test, t-test, ANCOVA, Pearson correlation을 이용하여 분석하였으며, 그 결과는 다음과 같다. 캠프 프로그램은 소아 당뇨병 환자의 자기 효능을 증진시키고 환자 역할 행위 이행을 높여주는데 효과적 이었다. 소아 당뇨병 환자의 자기 효능은 환자 역할 행위 이행과 순 상관 관계가 있어, 자기 효능이 증진될수록 환자 역할 행위 이행 정도가 높아졌다.

• Journal of Digital Convergence
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• v.10 no.11
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• pp.565-577
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• 2012

Various factors affecting teachers' self-confidence exist in math class using technology such as graphic calculators. For example, internal factors such as teachers' attitude and external factors such as school administrators or colleague's support can be considered. Pedagogical Technology Knowledge(PTK) is the very important factor which determines teacher's self-confidence in educational technology, and the development of PTK is composed of teacher's perception on the technology and its application and instrumentation. This study investigated 19 pre-service and current middle and high school teachers in the respect of their change of self-confidence, attitude, expertise on pedagogical technology, and quality of math class. These are anlayzed with the concept of instrumentation and instrumentalization through various experiences like graphic calculator, GPS and AutoGraph. The result indicated that constraints or obstacles did not affect much if teachers' attitude and self-confidence were strong. Particularly teachers' firm will to learn about technology and their confidence on its value are the critical factors in using technology for mathematics class.

• Journal of the Korean earth science society
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• v.23 no.4
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• pp.309-323
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• 2002

This qualitative study investigated preservice teachers' understandings of the ontology and epistemology underlying constructivist notions of learning through four in-depth interviews. Of the sixteen participants in a larger study, five significantly changed ontological and epistemological beliefs and eleven did not. This study focused on these eleven teachers who have hardly changed their philosophical beliefs throughout the teacher education program. Ten teachers who consistently maintained the scientific realist beliefs were presented as a composite case (Young's case). Among the eleven teachers, there was one outlier who had consistently maintained an idealist and relativist epistemological position from the beginning of the study and was subjected to another case analysis (Ben's case). These cases corroborated the assertion that each individual's deeply entrenched ontological and epistemological beliefs are very hard to change. For researchers, this study offers insights into the reasons that preservice teachers give for non-changes in their thinking about learning to teach. The study also examines preservice teachers' perceived constraints in implementing their ideal pedagogies and the influence of the teacher education program on their pedagogical beliefs changes. The benefits and influences of the M.Ed. program's theoretical coursework and the field experiences on these teachers' learning-to-teach experiences are addressed with rich data. The implications for teacher educators as well as for the instructional practices of preservice teacher education programs are discussed. This research emphasize necessity of the field-based teacher education program and the need of empowering experienced school teachers as teacher educators in teacher preparation and professional development.

• Journal of Intelligence and Information Systems
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• v.20 no.1
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• pp.1-14
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• 2014

Both researchers and practitioners are showing an increased interested in interactive exhibition services. Interactive exhibition services are designed to directly respond to visitor responses in real time, so as to fully engage visitors' interest and enhance their satisfaction. In order to install an effective interactive exhibition service, it is essential to adopt intelligent technologies that enable accurate estimation of a visitor's emotional state from responses to exhibited stimulus. Studies undertaken so far have attempted to estimate the human emotional state, most of them doing so by gauging either facial expressions or audio responses. However, the most recent research suggests that, a multimodal approach that uses people's multiple responses simultaneously may lead to better estimation. Given this context, we propose a new multimodal emotional state estimation model that uses various responses including facial expressions, gestures, and movements measured by the Microsoft Kinect Sensor. In order to effectively handle a large amount of sensory data, we propose to use stratified sampling-based MRA (multiple regression analysis) as our estimation method. To validate the usefulness of the proposed model, we collected 602,599 responses and emotional state data with 274 variables from 15 people. When we applied our model to the data set, we found that our model estimated the levels of valence and arousal in the 10~15% error range. Since our proposed model is simple and stable, we expect that it will be applied not only in intelligent exhibition services, but also in other areas such as e-learning and personalized advertising.

• Journal of the Korean association of regional geographers
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• v.15 no.5
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• pp.554-571
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• 2009

This paper explores the triple helix innovation system in Food Valley in the Netherlands which is considered one of the most innovative food clusters in the world. The triple helix approach has been so far little tackled in the literature on innovation system and cluster. However, tills approach can be a useful tool for understanding the dynamic characters and knowledge transfer mechanism of industrial cluster. On the basis of an in-depth case study, we argue that Food Valley has evolved through four circles of growth in the triple helix innovation system. From the mid-2000s onward, it is seen that Food Valley has been on the stabilized circle in the triple helix system of innovation. Centered upon Wageningen UR, local universities and research centers play a pivotal role in building the triple helix innovation system. To cope with radical changes in markets and technology since the late 1980s, local firms have made a great deal of effort to reinforce the university-industry partnership. On the other hand, government agencies have played a critical role for establishing institutional milieu that facilitate university-industry partnerships and local knowledge transfer and spillover.

• Proceedings of the Korean Society for Bio-Environment Control Conference
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• 2001.04b
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• pp.71-72
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• 2001

최근 수출오이의 재배 면적이 계속증가 추세에 있어 '99년 현재 143ha에 달하고 있다. 그러나 수출오이는 국내 오이와 재배방법이 상당히 달라 국내 오이는 주지착과형이지만 수출오이는 측지착과형으로 측지의 발생여부에 따라 수확량의 차이가 심하다. 따라서 수출오이의 성공여부는 측지발생을 어느정도 시키느냐에 달려 있다고 해도 과언이 아니다. 그런데 수출오이의 재배시기는 우리나라에서 재배환경이 가장 불량한 겨울철(10-2월)로, 저온 및 투광량 부족 등으로 인하여 측지발생율이 매우 저조하다. 따라서 본 시험은 수출오이의 측지 발생율을 높이고자 지중가온기 설치 여부에 따른 효과를 구명하고자 실시하였다. 그 결과, 생육(Table 1)은 접수의 줄기 직경이 지중가온 처리시 10.22mm로, 무가온의 8.64mm보다 굵었고, 엽장과 엽폭에 있어서도 지중가온 처리가 무가온 처리보다 좋았다. 곡과 발생수에 있어서도 지중가온 처리는 주당 0.73개가 발생하였으나, 무가온은 1.26개가 발생되어 지중가온 처리시 무가온에 비해서 생육이 좋아지고, 곡과 발생이 적었다. 주당 측지발생수(Table 2)는 지중가온구가 13.7개였고, 무가온구는 11.7개로 지중가온을 하면 측지발생수가 증가함을 알수 있었다. 또한 상품수확과수에 있어서도 지중가온구는 주당 45개인데 반해 지중무가온구는 38개였으며 따라서 전체적인 수량이 10a당 8,100kg으로, 무가온구의 6,840kg보다 18%의 증수효과가 있었다. 따라서 수출오이재배시 지중가온을 하면, 측지발생수가 증가하고 특히 장측지(Fig. 1)가 다수 발생하여 측지 수확과수가 증가하며, 곡과 등 기형과 발생이 감소하여 상품수량이 증가되므로써 기존 지중 무가온 재배에 비해 14% 소득향상 효과를 기대할 수 있다.시 생장이 둔화되었다. 밀폐시킨 삼각플라스크에서 자라는 Cell은 상태도 좋지 않고 전반적인 증식량도 적었다. Cell은 환기정도에 민감한 것으로 판단되며 삼각플라스크에서 약 35일 정도의 생장 주기를 가지는 것으로 사료된다. 배양 3주까지는 플라스틱 뚜껑으로 밀폐시킨 bottle에서 가장 많은 체세포배를 얻었다. Air filter를 달아 2일 마다 신선한 공기를 넣어 주었을 때는 배의 발달이 많이 늦어져 배양 3주째에 다른 처리보다 배의 수가 훨씬 적었다. 체세포배가 발달하는 동안에는 산소를 많이 요구하지 않으나 성숙하는 동안에는 산소를 많이 요구하는 것으로 생각된다.적인 것으로 나타났다. 다만, 곡선형은 물론 직선형에서도 열교환 튜브의 배치밀도, 튜브 길이 및 두께 등의 변화에 따른 최적화 연구가 수반되어야 할 것으로 판단된다.에서 제공된 API는 객체기반 제작/편집 도구에 응용되어 다양한 멀티미디어 컨텐츠 제작에 사용되었다.x factorization (NMF), generative topographic mapping (GTM)의 구조와 학습 및 추론알고리즘을소개하고 이를 DNA칩 데이터 분석 평가 대회인 CAMDA-2000과 CAMDA-2001에서 사용된cancer diagnosis 문제와 gene-drug dependency analysis 문제에 적용한 결과를 살펴본다.0$\mu$M이 적당하며, 초기배발달을 유기할 때의 효과적인 cysteamine의 농도는 25~50$\mu$M인 것으로 판단된다.N)A(N)/N을 제시하였다(A(N)=N에 대한 A값). 위의 실험식을 사용하여 헝가리산 Zempleni 시료(15%$S_{XRD}$)의 기본입자분포로부터 %$S_{XRD}

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.47 no.3
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• pp.48-55
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• 2010

Hearing impairment is one of the most common birth defects among infants. Significant bilateral hearing impairment have profound effects on speech and language development. But it can be prevented, if a hearing impairment is identified and treated in its early stage. ABR (auditory brainstem response) is useful screening tool for new born hearing test. However, the interpretation of conventional ABR should be done by a experienced audiologist and testing takes some time. Therefore, A-ABR(automated ABR) which detect ABR peak automatically have been developed recently. In contrast to A-ABR researches became active in overseas, there has been little study in Korea. In this study, we have developed a portable A-ABR system based on the results of our previous study. For the evaluation of the developed system, the clinical trials were performed on adults and infants. As a results, it showed good sensitivity (94.4%) and specificity (92.2%), and accuracy (93.0%) between clinical diagnosis and the developed A-ABR test.

• Journal of IKEEE
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• v.22 no.4
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• pp.1140-1146
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• 2018

Recently, a methodology for analyzing complex bio-signals using a deep learning model has emerged among studies that recognize human emotions. At this time, the accuracy of emotion classification may be changed depending on the evaluation method and reliability depending on the kind of data to be learned. In the case of biological signals, the reliability of data is determined according to the noise ratio, so that the noise detection method is as important as that. Also, according to the methodology for defining emotions, appropriate emotional evaluation methods will be needed. In this paper, we propose a wavelet -based noise threshold setting algorithm for verifying the reliability of data for multimodal bio-signal data labeled Valence and Arousal and a method for improving the emotion recognition rate by weighting the evaluation data. After extracting the wavelet component of the signal using the wavelet transform, the distortion and kurtosis of the component are obtained, the noise is detected at the threshold calculated by the hampel identifier, and the training data is selected considering the noise ratio of the original signal. In addition, weighting is applied to the overall evaluation of the emotion recognition rate using the euclidean distance from the median value of the Valence-Arousal plane when classifying emotional data. To verify the proposed algorithm, we use ASCERTAIN data set to observe the degree of emotion recognition rate improvement.