• 교육녹색환경연구
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• 제12권3호
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• pp.58-67
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• 2013

This study is to analyze the satisfaction and the image evaluation of landscape elements in outdoor space by types of the university campus. The results are as follows. 1) Out of outdoor elements at university campus, planting area, resting area, access road, and water feature are recognized as major landscape elements. Among them, planting area and access roads are evaluated low in terms of satisfaction levels, therefore, improvement on these elements are required. 2) In outdoor space image evaluation, university campus has image such as 'simple', 'clear', and 'safe'. By scale of universities, both 'A' university, which is the biggest in terms of size of campus, and 'B' university, which has a medium sized campus, have a positive image. However, 'C' university, which is the smallest in terms of size of campus, has a passive and negative image. 3) 6 factors are extracted through Factor Analysis for image evaluation. All of the universities show positive image in the categories of 'clarity' and 'familiarity', however, 'B' university and 'C' university show negative image in the category of 'scale'. 4) In Correlation Analysis between landscape elements satisfaction level and image evaluation, it is showed that the group of landscape facility becomes a relation factor of overall image evaluation. As a result, the higher satisfaction level goes, the better image evaluation of overall outdoor space at university campus is.

• International Journal of Automotive Technology
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• 제8권4호
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• pp.493-504
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• 2007

This paper proposes a stereo vision-based forward obstacle detection and distance measurement method. In general, stereo vision-based obstacle detection methods in automotive applications can be classified into two categories: IPM (Inverse Perspective Mapping)-based and disparity histogram-based. The existing disparity histogram-based method was developed for stop-and-go applications. The proposed method extends the scope of the disparity histogram-based method to highway applications by 1) replacing the fixed rectangular ROI (Region Of Interest) with the traveling lane-based ROI, and 2) replacing the peak detection with a constant threshold with peak detection using the threshold-line and peakness evaluation. In order to increase the true positive rate while decreasing the false positive rate, multiple candidate peaks were generated and then verified by the edge feature correlation method. By testing the proposed method with images captured on the highway, it was shown that the proposed method was able to overcome problems in previous implementations while being applied successfully to highway collision warning/avoidance conditions, In addition, comparisons with laser radar showed that vision sensors with a wider FOV (Field Of View) provided faster responses to cutting-in vehicles. Finally, we integrated the proposed method into a longitudinal collision avoidance system. Experimental results showed that activated braking by risk assessment using the state of the ego-vehicle and measuring the distance to upcoming obstacles could successfully prevent collisions.

• Journal of Power Electronics
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• 제16권4호
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• pp.1551-1564
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• 2016

The high penetration level of inverter-based distributed generation (DG) power plants is challenging the low-voltage ride-through requirements, especially under unbalanced voltage sags. Recently, a flexible injection of both positive- (PS) and negative-sequence (NS) reactive currents has been suggested for the next generation of grid codes. This can enhance the ancillary services for voltage support at the point of common coupling (PCC). In light of this, considering distant grid faults that occur in a mainly inductive grid, this paper proposes a complete voltage support control scheme for the interface inverters of medium or high-rated DG power plants. The first contribution is the development of a reactive current reference generator combining PS and NS, with a feature to increase the PS voltage and simultaneously decrease the NS voltage, to mitigate voltage imbalance. The second contribution is the design of a voltage support control loop with two flexible PCC voltage set points, which can ensure continuous operation within the limits required in grid codes. In addition, a current saturation strategy is also considered for deep voltage sags to avoid overcurrent protection. Finally, simulation and experimental results are presented to validate the effectiveness of the proposed control scheme.

• 기술혁신학회지
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• 제13권1호
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• pp.124-139
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• 2010

본 연구는 과학기술정책연구원이 지난 2008년도에 조사한 '기술혁신조사(KIS) 2008'의 원자료를 활용하여, 2005년부터 2007년까지 국내 제조업 기업들이 이루어낸 혁신의 결정요인에 대해 분석하였다. Probit 모형을 활용한 실증분석 결과 기업규모와 시장집중도가 기업의 기술혁신 활동을 유인하는 주요 결정요인이라는 슘페터 가설을 지지하는 연구결과를 얻었다. 또한 기업이 수행하는 연구개발 활동 역시 혁신을 촉진할 수 있는 요인으로 나타났다. 이와 함께 시장에 있어서 소비자지향성의 척도라 할 수 있는 광고 선전비 집약도가 혁신이 일어날 확률에 긍정적인 영향을 주는 것으로 추정되었다.

• 한국생활과학회지
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• 제17권4호
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• pp.639-648
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• 2008

This study is to examine the meaning of death, the level of death anxiety, and the aspect of death anxiety that the aged have. For this, a quantitative research subjecting 532 of the aged living in local area, Jeollabuk-do was carried out. And among those 532 questionnaires, 10 were subjected for depth interview. The following is a summary of the result from this study. First, the meaning of death for the aged is classified into three classes as positive, neutral and negative meaning. Among these, there were far greater numbers of the aged who put neutral or negative meanings on their death than the positive one. Second, death anxiety of the aged are divided into three factors: 'annihilation anxiety', 'process anxiety', and 'afterdeath anxiety'. The factor that involves death anxiety the most was process anxiety, then afterdeath anxiety, and annihilation anxiety, in the order. Third, as a result of classifying the feature of death anxiety in the aged into the symptoms of death anxiety and the motive of recognizing death anxiety. Death anxiety is classified into the people with symptoms and those without symptoms, and those with certain symptoms are classified into the physical symptoms and the mental symptoms. The motive of recognizing death anxiety appeared when the individual is aged, experiences the death of other people, suffers physical pains, and when there is a mental loneliness.

• 대한기관식도과학회지
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• 제9권1호
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• pp.87-91
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• 2003

Currently gastrointestinal mesenchymal tumors are divided into three major categories: myogenic tumors(leiomyoma, leiomyosarcoma), neurogenic tumors (schwannomas) and neoplasms that belong to neither group, which are known by GIST(gastrointestinal stromal tumors). The stromal tumors are hetrogenous, so that they may show myogenic or neurogenic differentiation or both, or no differentiation at all in some patients. The best defining feature for GIST is their expression of KIT-protein(CD117). Leiomyomas are the most common mesenchymal tumor in esophagus. Esophageal GISTS are very rare in comparision to those of the stomach and intestine. Recently we experieneced one case of the esophageal GIST, so that we describe an esophageal GIST on immunohistochemical analysis. A 70 years old woman complained of dysphagia and nausea for 3 days. FGS showed a huge elevated lesion in lower esophagus 33cm distal to incisor, which was covered with normal mucosa. CT and UGI showed the intramural tumor of lower third of the esophagus. The distal esophagectomy and esophago-gastrostomy were performed. The tumor was located in lower third of esophagus and measured as $6{\times}3.7$cm in size. Immunohistochemically, it showed weakly positive CD117 and diffusely positive S-100. SMA, desmin, NES and chromogranin showed negative immune-reaction. The patient was followed for 15 month after operation. There was no recurrence.

• Child Health Nursing Research
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• 제5권1호
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• pp.18-26
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• 1999

The purpose of this study was to explore the late schooler's health concept and health behavior. The research was a descriptive method using a self-report questionaire which include semi open-ended questions. the subjects were 458 late schooler's from 4 to 6 grade. The results were as follows : 1. Perceived health concepts were ‘having no illness’ ‘having normal physical feature and strength’ ‘eating food well’ ‘take exercise’ ‘having a bright mind’ ‘having good interpersonal relationships’‘having strong will’ ‘recovering well’. 2. Perceived health behaviors to maintain health were ‘taking proper exercise’ ‘eating proper food’ ‘maintaining cleanliness’ ‘taking sufficient rest and sleep’ ‘having a vigor life and positive thought’ ‘having good interterpersonal relationships’ ‘receiving health check and immunization’. 3. Health behaviors carried out at present were ‘taking proper exercise’ ‘eating proper food’ ‘having a vigor life and positive thought’ ‘receiving health check an immunization’ ‘taking supplementary drugs’ ‘having a regular life’ ‘maintaining cleanliness’ ‘maintaining warmth’. 4. Perceived causes of illness were ‘taking inproper food’ ‘uncleanliness’ ‘insufficient warmth or environment’ ‘lack of exercise or overexertion’ ‘irregular life habits’ ‘contact with germs’ ‘mental stress’. 5. Perceived treatments of illness were ‘having sufficient rest and sleep’ ‘mental relaxation’ ‘eating food’ ‘ maintinging cleanliness’ ‘ maintaining warmth’ ‘taking supplementary drug’ ‘receiving medical treatment’.

• 대한한방소아과학회지
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• 제26권2호
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• pp.53-61
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• 2012

Objectives To make comprehensive feature of clinical trials using herbal medicine and their results by today, then help a strategy for herbal medication-derived clinical studies in the future. Methods Through medical website (Pubmed EBSCO Medline), foreign clinical literatures about atopic dermatitis and herbal medicine were searched. And domestic clinical literatures about atopic dermatitis using internet website (OASIS) and hand-searching. Analysis was performed according to distribution mainly by subject, study design, number by year and its efficacy. Results and Conclusions Seventy-nine (Domestic literatures: Fifty, Foreign literatures: Twenty-nine) literatures were selected according to inclusion criteria of clinical study. 80% of domestic clinical literatures were observational studies, 50% of foreign were intervention. There were six adverse effect case studies, two follow-ups, one case report, four translational and four uncontrolled clinical trials in foreign literatures. And nineteen case reports, eighteen case series, two follow-up and five uncontrolled clinical studies in domestic. Six RCTs have established by four external herb therapy and two decoctions in Korea, showed positive effects. Three out of four external applications RCTs, four out of seven decoctions showed positive results in foreign studies. This study revealed the current status of atopic dermatitis clinical research using herbal drugs. To put clinical trials to use of herbal medicine in the treatment atopic dermatitis, scientific and objective-based studies should be needed.

• 한국멀티미디어학회논문지
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• 제12권3호
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• pp.445-450
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• 2009

본 논문에서는 물리기반 다상 유체 시뮬레이션의 정확성과 격자 크기 이하의 미세하고 사실적으로 아름다운 유체를 표현하기 위하여 이탈입자에 물리 기법을 추가하였다. 이탈 입자는 입자등위집합 기법에서 표시 입자들이 등위집합을 보정해 주고 남아 있는 입자들을 말하며, 본 논문은 이탈입자가 생성되는 방법을 기존과 다르게 하고, 미세한 공기방울을 표현한 양수의 이탈입자에서 견인력과 양력을 사용하여 유체 시뮬레이션을 확장하였다. 음수의 이탈입자는 또한 물방울과 스플래시 효과를 표현하였고, 등위집합의 음의 값과 합해지게 되면 그 노드의 속도에 영향을 주도록 설계하였다. 이렇게 양수의 이탈입자와 음수의 이탈입자를 사용하는 것은 유체 시뮬레이션에서 격자크기 이하의 상세함을 표현할 수 있고 역동적인 유체를 시뮬레이션 할 수 있게 한다.

• The Korean Journal of Physiology and Pharmacology
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• 제23권2호
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• pp.131-139
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• 2019

Manually reviewing electroencephalograms (EEGs) is labor-intensive and demands automated seizure detection systems. To construct an efficient and robust event detector for experimental seizures from continuous EEG monitoring, we combined spectral analysis and deep neural networks. A deep neural network was trained to discriminate periodograms of 5-sec EEG segments from annotated convulsive seizures and the pre- and post-EEG segments. To use the entire EEG for training, a second network was trained with non-seizure EEGs that were misclassified as seizures by the first network. By sequentially applying the dual deep neural networks and simple pre- and post-processing, our autodetector identified all seizure events in 4,272 h of test EEG traces, with only 6 false positive events, corresponding to 100% sensitivity and 98% positive predictive value. Moreover, with pre-processing to reduce the computational burden, scanning and classifying 8,977 h of training and test EEG datasets took only 2.28 h with a personal computer. These results demonstrate that combining a basic feature extractor with dual deep neural networks and rule-based pre- and post-processing can detect convulsive seizures with great accuracy and low computational burden, highlighting the feasibility of our automated seizure detection algorithm.