• 한방재활의학과학회지
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• 제33권4호
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• pp.95-107
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• 2023

Objectives The purpose of this study is to help find the future prospects by analyzing the trends of scalp acupuncture treatment for Parkinson's disease (PD) by searching the China National Knowledge Infrastructure (CNKI) and PubMed. Methods We searched clinical studies adopting scalp acupuncture treatment as a main intervention for PD through the searching the database of CNKI and PubMed. We analyzed the characteristics of selected studies especially according to study design, publication year, sample size, treatment period, treatment methods, outcomes criteria and adverse events. Results Twelve randomized controlled trials studies published from January 1, 2012 to July 1, 2023 were selected. In these studies, two types of scalp acupuncture treatments were performed and the most common treatment was Jiao shunfa's scalp acupuncture with fine needles. The most commonly used acupoints were "Chorea tremor control area", 風池 (GB20), 四神聰 (EX-HN1) and 百會 (GV20). The most commonly used outcome measures were effective rate, unified Parkinson disease rating scale (UPDRS) and UPDRS-III. Conclusions Through these results, we found that the Chinese review literature positively reported the effects of scalp acupuncture on PD. However, more high-quality evaluation using the well-designed studies including more objective outcomes should be required.

• 한국공간구조학회논문집
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• 제24권2호
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• pp.83-90
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• 2024

Machine learning is widely applied to various engineering fields. In structural engineering area, machine learning is generally used to predict structural responses of building structures. The aging deterioration of reinforced concrete structure affects its structural behavior. Therefore, the aging deterioration of R.C. structure should be consider to exactly predict seismic responses of the structure. In this study, the machine learning based seismic response prediction model was developed. To this end, four machine learning algorithms were employed and prediction performance of each algorithm was compared. A 3-story coupled shear wall structure was selected as an example structure for numerical simulation. Artificial ground motions were generated based on domestic site characteristics. Elastic modulus, damping ratio and density were changed to considering concrete degradation due to chloride penetration and carbonation, etc. Various intensity measures were used input parameters of the training database. Performance evaluation was performed using metrics like root mean square error, mean square error, mean absolute error, and coefficient of determination. The optimization of hyperparameters was achieved through k-fold cross-validation and grid search techniques. The analysis results show that neural networks and extreme gradient boosting algorithms present good prediction performance.

• Steel and Composite Structures
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• 제51권4호
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• pp.417-440
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• 2024

Artificial neural networks (ANN) have been the focus of several studies when it comes to evaluating the pile's bearing capacity. Nonetheless, the principal drawbacks of employing this method are the sluggish rate of convergence and the constraints of ANN in locating global minima. The current work aimed to build four ANN-based prediction models enhanced with methods from the black hole algorithm (BHA), league championship algorithm (LCA), shuffled complex evolution (SCE), and symbiotic organisms search (SOS) to estimate the carrying capacity of piles in cold climates. To provide the crucial dataset required to build the model, fifty-eight concrete pile experiments were conducted. The pile geometrical properties, internal friction angle 𝛗 shaft, internal friction angle 𝛗 tip, pile length, pile area, and vertical effective stress were established as the network inputs, and the BHA, LCA, SCE, and SOS-based ANN models were set up to provide the pile bearing capacity as the output. Following a sensitivity analysis to determine the optimal BHA, LCA, SCE, and SOS parameters and a train and test procedure to determine the optimal network architecture or the number of hidden nodes, the best prediction approach was selected. The outcomes show a good agreement between the measured bearing capabilities and the pile bearing capacities forecasted by SCE-MLP. The testing dataset's respective mean square error and coefficient of determination, which are 0.91846 and 391.1539, indicate that using the SCE-MLP approach as a practical, efficient, and highly reliable technique to forecast the pile's bearing capacity is advantageous.

• 지능정보연구
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• 제21권1호
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• pp.1-13
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• 2015

빅데이터 및 오피니언 마이닝 분야가 대두됨에 따라 정보 검색/추출, 특히 비정형 데이터에서의 정보 검색/추출 기술의 중요성이 나날이 부각되어지고 있다. 또한 정보 검색 분야에서는 이용자의 의도에 맞는 결과를 제공할 수 있는 검색엔진의 성능향상을 위한 다양한 연구들이 진행되고 있다. 이러한 정보 검색/추출 분야에서 자연어처리 기술은 비정형 데이터 분석/처리 분야에서 중요한 기술이고, 자연어처리에 있어서 하나의 단어가 여러개의 모호한 의미를 가질 수 있는 단어 중의성 문제는 자연어처리의 성능을 향상시키기 위해 우선적으로 해결해야하는 문제점들의 하나이다. 본 연구는 단어 중의성 해소 방법에 사용될 수 있는 말뭉치를 많은 시간과 노력이 요구되는 수동적인 방법이 아닌, 사전들의 예제를 활용하여 자동적으로 생성할 수 있는 방법을 소개한다. 즉, 기존의 수동적인 방법으로 의미 태깅된 세종말뭉치에 표준국어대사전의 예제를 자동적으로 태깅하여 결합한 말뭉치를 사용한 단어 중의성 해소 방법을 소개한다. 표준국어대사전에서 단어 중의성 해소의 주요 대상인 전체 명사 (265,655개) 중에 중의성 해소의 대상이 되는 중의어 (29,868개)의 각 센스 (93,522개)와 연관된 속담, 용례 문장 (56,914개)들을 결합 말뭉치에 추가하였다. 품사 및 센스가 같이 태깅된 세종말뭉치의 약 79만개의 문장과 표준국어대사전의 약 5.7만개의 문장을 각각 또는 병합하여 교차검증을 사용하여 실험을 진행하였다. 실험 결과는 결합 말뭉치를 사용하였을 때 정확도와 재현율에 있어서 향상된 결과가 발견되었다. 본 연구의 결과는 인터넷 검색엔진 등의 검색결과의 성능향상과 오피니언 마이닝, 텍스트 마이닝과 관련한 자연어 분석/처리에 있어서 문장의 내용을 보다 명확히 파악하는데 도움을 줄 수 있을 것으로 기대되어진다.

• 대한수학교육학회지:학교수학
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• 제8권1호
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• pp.69-88
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• 2006

학습 수준이 낮은 학생들일수록 교육 내용의 조직이나 제시 방식에 따른 영향을 많이 받는 것으로 알려져 있다. 따라서 교육 내용의 조직이나 제시 방식의 미묘한 차이에 따라 학습 수준이 낮은 학생들의 반응이 어떻게 달라지는지를 파악하는 연구가 필요하다. 이 논문에서는 2004년에 실시된 초등학교 3학년 국가수준 기초학력 진단평가의 한 영역인 기초 수학의 평가 결과를 토대로 하여, 동일한 성취기준에 속한 평가 문항일지라도 그 조직과 제시 방식에 따라 학생들의 정답률이 어떻게 달라지는가를 알아보았으며, 그러한 내용을 바탕으로 수학 기초학력에 미도달한 학생집단의 특성을 밝히고자 하였다. 그러한 분석 내용에 비추어 몇 가지 사례를 중심으로 현행 초등학교 수학 교과서와 교사용 지도서의 개선 및 부진아를 대상으로 한 교재 집필에 유용하다고 여겨지는 구체적이면서 실질적인 지침을 제시하였다.

• 보건교육건강증진학회지
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• 제32권4호
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• pp.79-92
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• 2015

Objectives: The purpose of this study is to identify the trends of jjok-bang research based on the perspective of Community-Based Participatory Research and Social Ecological Model and to provide information for future public health interventions, policy designs, and policy implementations. Methods: Studies used in the systematic review are published from 1999 to 2014 and searched using key words such as 'jjok-bang' and 'single room occupancy' using domestic and international electronic databases. However, there were no studies from abroad published during this period. Search in domestic databases such as KCI, KISS, RISS generated 119 studies. In this paper, 20 cases which meet the criteria of the systematic review were included in the final analysis. Results: The contents of research included are the life of jjok-bang inhabitants(9 cases), the demand for welfare services(4 cases) and welfare need(2 cases), mental health(1 cases), and the history of jjok-bang formation(4 cases). Fourteen cases of empirical study were analyzed focusing Community-Based Participatory Research and Social Ecological Model. Some of research was carried out forming a partnership with various community partners and this trend increased since 2008. There are high frequency of intrapersonal level and interpersonal level studies. However, studies looking at the organization, community or policy level were relatively few. Conclusions: Future studies of jjok-bang area should consider the various social determinants which affect the health delivery system, community organization and policies, as well as individual or community level.

• 한국식품영양학회지
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• 제31권5호
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• pp.616-630
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• 2018

This study analyzed the current status of registered patents related to food tech in Korea and Japan. Using the patent information search services of Korean and Japanese Patent Offices, patents registered during the past 10 years from January 1, 2005 to December 31, 2015 were searched with the following key words/phrases: "food or meal or diet" and "program or information system". A total of 669 patents (539 for Korea and 130 for Japan) were finally selected and analyzed. Based on Porter's value chain theory, the patents were categorized into three dimensions related to "manufacturing/processing/distribution", "sales & marketing", and "consumer support". The results showed that in Korea, 41.7% of the total patents were related to sales & marketing followed by consumer support (37.3%) and manufacturing/processing/distribution (21.0%). In Japan, patents related to consumer support accounted for 56.2% followed by manufacturing/processing/distribution (32.3%), and sales & marketing (11.5%). In the area of manufacturing/processing/distribution, "food quality management system" in Korea, and "food manufacturing and processing management system" and "food safety control and hazard analysis system" in Japan tended to show a significantly higher proportion of patents registered (p<.05). Under sales & marketing, patents in the categories of "food purchase and delivery service system" in Korea and "restaurant information sharing system" in Japan tended to be more frequently registered (p<.05). Finally, in the area of consumer support, "kitchen facility and cooking device control system" in Korea and "menu and nutrition management system" in Japan tended to account for a significantly higher proportion of patents registered (p<.001). The results are expected to provide useful insights into the development of new patents and markets for food tech in the future.

• 대한공간정보학회지
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• 제1권2호
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• pp.185-194
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• 1993

원격탐측은 초기에는 자연현상이나 지표대상물의 개략적인 분포와 변화를 추출하는데 사용되어 왔으나 최근에는 식물의 분광특성을 이용한 농업조사, 산림조사나 지하자원탐사, 해양상의 수온 및 해류분포조사, 기상조사 등 많은 분야에 응용되고 있다. 본 연구에서는 이와 같은 원격탐측의 많은 응용분야 중에서 해양으로 배출되는 공장온배수의 확산범위를 조사하기 위하여 지구자원 탐사위성인 LANDSAT-5호에 탑재되어 있는 TM에 의해 얻어진 영상과 지상탐측기인 열적외주사기 Thermo Tracer에 의해 얻어진 열적외 영상을 이용하였다. LANDSAT TM영상의 Band 6은 열적외 Band로서 NASA의 CSFC에서 제공한 변환식 및 사후검정값을 이용하여 Band 6의 gray level값으로부터 해수온도 분포를 추출하였으며, Thermo Tracer의 열적외 영상은 TH1100 Series의 Processing mode를 이용하여 온도분포를 얻었다. 이와 같은 영상을 분석한 결과 근해의 수심이 얕은 지역의 해수온도는 담수온도와 내륙온도의 영향을 크게 받고 있음을 알 수 있었으며, 온배수의 확산범위 및 면적을 시각적 및 정량적으로 나타낼 수 있었다. 또한 열적외선 주사영상을 이용하여 보다 세부적인 확산범위를 제시할 수 있었으며 LANDSAT영상결과와 거의 동일한 결과를 나타냄을 알 수 있다.

• 대한물리치료과학회지
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• 제11권2호
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• pp.18-26
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• 2004

The purpose of this study was to compare difference of the static and dynamic balance in normal subject and LBP subject and recognizes about postural sway. The subjects of this study included 30 normal subjects and 30 LBP subjects. By using Active balance system, the static balance was measured by unit path length, circumference area, weight bearing, stabilometry length, while the dynamic balance was measured by step evaluation. Statistically analyzed using independent t-test to search static balance and dynamic balance difference in two groups. Postural sway appeared greatly in patient group than normal group in analysis result of static balance and postural sway was big in patient group of when closed eye and normal group and patient group did show statistical significance in unit path length, circumference area. Weight support of normal group was shared equally in weight bearing rate, but weight support of patient group stewed less to pain side. Anterior step time and Task achieve time of dynamic balance were spent more in patient group than normal group. Desire to be used to useful information to lay treatment policy about set-up and action of when quantification result of valued postural balance treats low back pain patient by objective tool, in the fixture, more researches in postural estimation desire that is enforced abuzz.

• 한국측량학회지
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• 제25권1호
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• pp.47-53
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• 2007

인공위성 영상을 이용하여 한반도 전역과 같이 넓은 지역에 대한 효율적인 영상 판독 및 분석 작업을 수행하기 위해서는 영상모자이크 작업이 필수적으로 요구된다. 본 논문은 영상모자이크 작업시 요구되는 접합선의 자동추출 기법과 이를 기반으로 한 자동 모자이크 영상제작 방법을 제시하였다. 인위적인 불연속을 최소화하는 접합선의 자동 추출기법으로는 검색영역에 대한 제약조건을 고려한 Minimum Absolute Gray Difference Sum 알고리즘과 Canny 에지검출 알고리즘을 함께 적용하였다. 또한 획득시기가 다른 인접영상간의 밝기 차이를 균일하게 유지시키기 위한 히스토그램 매칭 방법으로는 Match Cumulative Frequency 방법을 적용하였다. 본 연구의 결과 에지검출 기법을 통해 도로나 강 등과 같은 선형특성 지형 지물을 접합선으로 선정함으로서 인접영상간의 인위적인 불연속 형성을 최소화 할 수 있었다.