• Spatial Information Research
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• 제20권4호
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• pp.47-55
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• 2012

정규식생지수(NDVI)는 식생자원을 모니터링할 수 있도록 설계된 식생지수(VI-Vegetation Index) 중 하나로 여러 응용 분야에서 가장 많이 사용되고 있는 지수이다. 산림 분야에서도 NDVI가 많이 활용되고 있는데 본 논문에서는 산림 변화 모니터링을 위해 MODIS NDVI를 활용하는 방법론이 연구되었다. 특정 시점을 기준으로 NDVI 값을 비교 및 분류하여 변화를 탐지하는 방법은 기계나 기상상태의 영향으로 자료의 정확성이 떨어질 수 있고 장기적인 변화를 탐지하는데도 어려움이 있다. 이러한 점을 고려하여 본 논문에서는 하모닉 모형을 이용하여 NDVI 시계열 자료를 통해 NDVI 패턴을 고려하는 방법론을 제시하였다. 먼저 하모닉 모형을 적용하여 미관측 자료나 자료의 오류를 보정한 NDVI 시계열 자료를 재구축하고 추정된 하모닉 요소의 모수를 기준으로 장기적 패턴을 통해 식생의 변화를 모니터링할 수 있다. 제안된 방법은 한반도 지역의 2009년 8월 21일부터 2011년 9월 6일까지 총 49개의 MODIS NDVI 시계열 자료에 적용하여 모형의 유용성을 입증하였다.

• 한국지능시스템학회논문지
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• 제26권1호
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• pp.30-36
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• 2016

디지털 도어록 시장이 활성화 되면서 생체인식기술과 스마트폰 등을 인증 수단으로 사용하는 보다 편리한 도어록 시스템이 개발되고 있다. 디지털 도어록의 성능은 보안성과 편리성이라는 두 가지 서로 상충되는 요소에 의해 결정된다. 본 논문에서는 편리성을 유지하면서 보안성을 높일 수 있는 하나의 방법으로 인증 수단을 문고리에 통합하는 원그립 기반 디지털 도어록의 디자인을 제안하고 구현하였다. 제안된 원그립 기반 문고리 통합형 도어록 시스템에서는 사용자가 문을 열기 위해 문고리를 잡는 한 번의 동작만으로 지문인식과 터치 센서를 이용한 그립패턴 인식을 순차적으로 진행하여 보안성을 한 단계 높이면서도 사용상의 편리성은 그대로 유지할 수 있다. 제안된 방법은 디지털 도어록 시스템 자체의 성능 개선 뿐 아니라 앞으로 더욱 활성화 될 것으로 예상되는 스마트 도어록 분야에서 스마트폰을 분실했을 때 발생하는 문제를 해결할 수 있을 것으로 기대한다.

• The Journal of Advanced Prosthodontics
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• 제9권6호
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• pp.409-415
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• 2017

PURPOSE. Accurate information is essential in dentistry. The image information of missing teeth is used in optically based medical equipment in prosthodontic treatment. To evaluate oral scanners, the standardized model was examined from cases of image recognition errors of linear discriminant analysis (LDA), and a model that combines the variables with reference to ISO 12836:2015 was designed. MATERIALS AND METHODS. The basic model was fabricated by applying 4 factors to the tooth profile (chamfer, groove, curve, and square) and the bottom surface. Photo-type and video-type scanners were used to analyze 3D images after image capture. The scans were performed several times according to the prescribed sequence to distinguish the model from the one that did not form, and the results confirmed it to be the best. RESULTS. In the case of the initial basic model, a 3D shape could not be obtained by scanning even if several shots were taken. Subsequently, the recognition rate of the image was improved with every variable factor, and the difference depends on the tooth profile and the pattern of the floor surface. CONCLUSION. Based on the recognition error of the LDA, the recognition rate decreases when the model has a similar pattern. Therefore, to obtain the accurate 3D data, the difference of each class needs to be provided when developing a standardized model.

• 한국조리학회지
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• 제13권2호
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• pp.81-97
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• 2007

To assess the food intake and diet quality by the interrelationship of DDS and DVS of high school girls, this dietary survey was conducted with 253 subjects living in Iksan and Seoul areas using a 24-hour recall method. The average amount of total food intake was 1,133.2 g, with 79.9% of food intake being supplied by vegetable food and 20.1% by animal food and higher in Seoul area. The food consumed most frequently was rice, green onion, garlic, soy sauce, sesame oil, onion, and Kimchi. The food consumed in the largest amounts were rice(303.3 g), milk(62.2 g), and Kimchi(53.4 g). Diet quality was assessed by food group pattern, dietary diversity score(DDS), and dietary variety score(DVS). When investigating the consumption pattern of major five food groups(grain, meat, dairy, fruit, vegetable groups), nobody consumed all five food groups in each meal. The groups most frequently missing were fruits and dairy products. The average number of food consumed per day was 12.1(DVS) and Iksan area scored lower(11.7) on DVS than Seoul area(12.6). The higher DDS and DVS of subjects were, the more MAR and NAR of energy, calcium, vitamin A and C increased. The number of major food groups(DDS)(p<0.01, P<0.05) and that of food items (DVS)(p<0.01) correlated positively NAR(nutrient adequacy ratio) and MAR (mean adequacy ratio) significantly.

• Journal of Ginseng Research
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• 제8권1호
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• pp.57-64
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• 1984

In order to clarify an effect of seedling weight on the growth pattern of ginseng, seedlings ranged from 0.4g plant to 1.8g plant were transplanted, and then the characters of 5- and 6-year-old ginseng were investigated. The characters of root and leaf, such as length and diameter of main root, root weight, leaf area, and leaf dry weight of 5- and 6-year-old ginseng originated from large seedlings were superior as compared with those from small seedlings, and percentage of missing plant was increased with the increase of seedling weight. There were, however, no significant difference in stem length, stem dry weight, number of seeds per plant and number of palmate leaves and leaflets per plant in 5- and 6-year-old ginseng and these characters were not affected by the weight of seedings transplanted. Root field per unit area was higher in seedings of above 0.6g/plant than in small seedlings.

• 산업경영시스템학회지
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• 제35권1호
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• pp.47-56
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• 2012

Service Parts Management is defined as a supply management associated with service parts from the part suppliers to the final customer. A series of process to improve the customer service level by forecasting the demand and to minimize cost by maintaining the inventory level is included. Uniqueness such as missing value correction, the data pattern analysis and planned order system is designed and implemented. Main feature of order management system is to calculate order amount and order time based on selection of optimal forecasting algorithm.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2009년도 정보 및 제어 심포지움 논문집
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• pp.6-8
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• 2009

In this paper. we propose receiver algorithms for VHF(Very High Frequency) digital link mode-2(VDL Mode-2) systems. Unlike conventional digital communication systems using the root raised cosine filter as a transmit and receive filter, raised cosine filter is used as a transmit filter in VDL Mode-2 systems. Hence, it is crucial to design and implement the optimum lowpass receive filter by considering the amount of inter-symbol interference and noise performance. On the other hand, due to the short preamble pattern, it is crucial to develop an efficient packet detection algorithm for reliable communication link. In this paper, we design the optimum receive filter and packet detection algorithm and evaluate the performance of receiver adopting the proposed receive filter and packet detection algorithm.

• 대한소아치과학회지
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• 제11권1호
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• pp.249-254
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• 1984

This is a case report of Crouzon's disease as a kind of craniofacial dysostosis by premature closure of unilateral coronal suture, showed plagiocephalic skull. 5-year-old boy was visited for the treatment of dental caries and oral examination. Physical examination showed hypertelorism, internal strabismus, and saddle nose. Intraoral radiographs showed congenital missing of upper right and left deciduous and permanent lateral incisors. Cephalometric analysis showed shortening the posterior cranial base length, clockwise growth pattern and class III and open bite tendency. Posterior-anterior and submentovertex view showed multiple radiolucencies-digital impression on inner surface of cranial vault. Maxillo-facial and neuro-surgical treatment was required to improvement of facial esthetics and optic complications. Continuous examination was needed to the growth and development.

• Journal of information and communication convergence engineering
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• 제8권4호
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• pp.383-386
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• 2010

Pattern classification is one of the most important topics for machine learning research fields. However incomplete data appear frequently in real world problems and also show low learning rate in classification models. There have been many researches for handling such incomplete data, but most of the researches are focusing on training stages. In this paper, we proposed two classification methods for incomplete data using triangular shaped fuzzy membership functions. In the proposed methods, missing data in incomplete feature vectors are inferred, learned and applied to the proposed classifier using triangular shaped fuzzy membership functions. In the experiment, we verified that the proposed methods show higher classification rate than a conventional method.

• KEPCO Journal on Electric Power and Energy
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• 제7권1호
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• pp.73-77
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• 2021

As the big data analysis technologies has been developed worldwide, the importance of asset management for electric power facilities based data analysis is increasing. It is essential to secure quality of data that will determine the performance of the RISK evaluation algorithm for asset management. To improve reliability of asset management, asset data must be preprocessed. In particular, the process of cleaning dirty data is required, and it is also urgent to develop an algorithm to reduce time and improve accuracy for data treatment. In this paper, the result of the development of an automatic cleaning algorithm specialized in overhead transmission asset data is presented. A data cleaning algorithm was developed to enable data clean by analyzing quality and overall pattern of raw data.