• Journal of Genetic Medicine
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• 제16권2호
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• pp.81-84
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• 2019

Clinicians often have difficulties diagnosing patients with subtle phenotypes of Noonan syndrome phenotypes. Facial recognition technology can help in the identification of several genetic syndromes with facial dysmorphic features, especially those with mild or atypical phenotypes. A patient visited our clinic at 5 years of age with short stature. She was administered growth hormone treatment for 6 years, but her growth curve was still below the 3rd percentile. She and her mother had wide-spaced eyes and short stature, but there were no other remarkable features of a genetic syndrome. We analyzed their photographs using a smartphone facial recognition application. The results suggested Noonan syndrome; therefore, we performed targeted next-generation sequencing of genes associated with short stature. The results showed that they had a mutation on the PTPN11 gene known as the pathogenic mutation of Noonan syndrome. Facial recognition technology can help in the diagnosis of Noonan syndrome and other genetic syndromes, especially in patients with mild phenotypes.

• 한국전자통신학회논문지
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• 제10권4호
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• pp.521-526
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• 2015

개인의 신원을 확인하기 위해 인간의 생물학적 특성을 사용하는 방법에 대한 연구가 활발히 진행되고 있다. 심전도를 이용한 생체 인식 기술은 피험자에 피부자극을 일으키지 않고 위조가 어렵다. 기존의 생체 인식 시스템인 지문, 얼굴 등의 인식시스템과 쉽게 접목이 가능하여 다중 생체 인식 시스템으로 응용할 수 있다. 본 논문에서는 이산 웨이블릿 변환 계수를 사용한 심전도의 파형 특성분석법으로 개인을 식별하는 방법을 제안하였다. 심전도 신호의 특징추출은 총 9개의 이산 웨이블릿 변환 계수를 대상으로 상관 계수 분석으로 수행하였다. 식별은 각 클래스의 특징벡터를 입력으로 오류 역전파 신경망을 적용하여 수행하였다. MIT-BIH QT 데이터베이스내 24명의 심전도에 대해 98.88%의 식별율을 나타냈다.

• ALGAE
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• 제25권3호
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• pp.121-131
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• 2010

Thalassiosira species were collected from October 2007 to January 2009 in an attempt to better understand species diversity of the genus Thalassiosira in Korean coastal waters. A total of 5 Thalassiosira species (T. concaviuscula, T. oceanica, T. partheneia, T. simonsenii and T. nanolineata) were identified here. Most species in this study were of small size, and 5 species were recorded for the first time in Korean coastal waters. Using a scanning electron microscope (SEM), we described distinctive characteristics of fine structure that proved to be important diagnostic characteristics for the identification of each species. The most important diagnostic characteristics for Thalassiosira species identification were the marginal strutted processes, the position of labiate processes, and the areolation. The differential characteristics of the species studied were: T. concaviuscula has a double layered external tubes on the marginal strutted processes; T. oceanica shows marginal ridges that are interlinked between the marginal strutted processes; the valve face of T. partheneia is fairly convex and its labiate process is positioned midway between two strutted processes; T. simonsenii is characterized by two labiate processes and somewhat coarse areolae; and, T. nanolineata has several central strutted processes and linear areolation.

• 교육녹색환경연구
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• 제7권2호
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• pp.12-29
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• 2008

The problem should be approached in terms of recovering essential functions of technical high school and identification to supply stable and quality human resources in technical sector. An adequate space programming for technical high school is needed to educate effective skills and techniques. Considering the education directions of vocational high school, the article covers principals of technical school's construction plan and directions and, based on this, suggest the way of estimating the scale in construction plan of technical school. Through this research, systematic and reasonable space planning can be possible. The range of this research is based on development directions of society and education and an objective standard in a newly reformed the 7th Stage of Education. In addition, the research is limited to technical high school among kinds of vocational high school. The purpose is to redefine the role of technical school that face identification crisis currently, comparing to the past, and to suggest a more effective space planning. The research limits the space to classes for specialized subjects, a core space for education in technical school among diverse spaces.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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• pp.1352-1355
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• 1996

The control of diamond turning is usually achieved through a laser-interferometer feedback of slide position. If the tool post is rigid and the material removal process is relatively static, then such a non-collocated position feedback control scheme may surface. However, as the accuracy requirement gets tighter and desired surface contours become more complex, the need for a direct tool-tip sensing becomes inevitable. The physical constraints of the machining process prohibit any reasonable implementation of a tool-tip motion measurement. It is proposed that the measured force normal to the face of the workpiece can be filtered through an appropriate admittance transfer function to result in the estimated depth of cut. This can be compared to the desired depth of cut to generate the adjustment control action in addition to position feedback control. In this work, the design methodology on the admittance model-based control with a conventional controller is presented. The recursive least-squares algorithm with forgetting factor is proposed to identify the parameters and update the cutting process in real time. The normal cutting forces are measured to identify the cutting dynamics in the real diamond turning process using the precision dynamometer. Based on the parameter estimation of cutting dynamics and the admittance model-based nanodynamic control scheme, simulation results are shown.

• Current Optics and Photonics
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• 제3권6호
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• pp.571-576
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• 2019

The morphological changes of anthracnose (fungus) -infected tomato seeds have been studied to identify the infection and characterize its effect. Full-field optical coherence tomography (FF-OCT) has been utilized as a nondestructive but efficient modality for visualizing the effects of fungal infection. The cross-sectional images extracted from a stack of en face FF-OCT images showed significant changes with infection in the seed structure. First of all, the seed coat disappeared with the infection. The thickness of the seed coat of a healthy seed was measured as 28.2 ㎛, with a standard deviation of 1.2 ㎛. However, for infected seeds the gap between surface and endosperm was not appreciably observed. In addition, the measurements confirmed that the dryness of seeds did not affect the internal seed structure. The reconstructed three-dimensional (3D) image revealed that the permeability of the seed coat, which plays the vital role of protecting the seed, is also affected by the infection. These results suggest that FF-OCT has good potential for the identification of fungus-infected tomato seeds, and for many other tasks in agriculture.

• Journal of Information Processing Systems
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• 제14권5호
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• pp.1114-1135
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• 2018

A multiple classification system based on a new boosting technique has been approached utilizing different biometric traits, that is, color face, iris and eye along with fingerprints of right and left hands, handwriting, palm-print, gait (silhouettes) and wrist-vein for person authentication. The images of different biometric traits were taken from different standard databases such as FEI, UTIRIS, CASIA, IAM and CIE. This system is comprised of three different super-classifiers to individually perform person identification. The individual classifiers corresponding to each super-classifier in their turn identify different biometric features and their conclusions are integrated together in their respective super-classifiers. The decisions from individual super-classifiers are integrated together through a mega-super-classifier to perform the final conclusion using programming based boosting. The mega-super-classifier system using different super-classifiers in a compact form is more reliable than single classifier or even single super-classifier system. The system has been evaluated with accuracy, precision, recall and F-score metrics through holdout method and confusion matrix for each of the single classifiers, super-classifiers and finally the mega-super-classifier. The different performance evaluations are appreciable. Also the learning and the recognition time is fairly reasonable. Thereby making the system is efficient and effective.

• 한국정밀공학회지
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• 제20권12호
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• pp.25-33
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• 2003

A burr has been defined as undesirable projection of material formed as a result of plastic flow from a cutting or shearing operation. It is unavoidable in all kinds of machining operation. As a result, burr makes troubles on manufacturing process due to deburring cost, quality of products and productivity. In this study, the primary interest is about exit burr. The burr formation mechanism in each type of burr is classified. Data bases are developed to predict burr formation result. In the milling operation, we develop an algorithm to analyze the burr formation mechanism by the geometrical analysis on the multi featured workpiece with multi cutting path. The algorithm includes three steps, i. e., the feature identification, the cutting condition identification, and the analysis on exit burr formation. We can predict which portion of workpiece would have the exit burr in advance so that we can manage to find a way to minimize the exit burr formation in an actual cutting. Also, this algorithm can be implemented in a commercial CAM package so that we can simulate the NC code to review the burr formation in advance.

• 한국정보통신학회논문지
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• 제6권5호
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• pp.777-782
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• 2002

본 연구는 인식의 정확성을 향상시키고, 사용자의 편이성을 고려하여 단일생체 인식 대신에 얼굴의 다중특징을 이용하는 다중생체 인식방법을 제안한다. 얼굴의 특징은 다음과 같은 방법으로 찾는다. 얼굴의 특징은 웨이블렛 다중분해와 주성분 분석방법으로 계산하였고, 입술의 경우는 입술의 경계를 구한후 최소 자승법을 이용한 방정식의 계수를 구하였으며, 얼굴의 요소간 거리 비율에 의한 특징값을 구하여, 역전파 학습 알고리즘으로 분류하여 실험하였다. 실험을 통해 본 방법의 유효성을 확인하였다.

• 유통과학연구
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• 제19권3호
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• pp.5-14
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• 2021

Purpose: This study aims to clarify the behavioral extraction and ability of venture merchants, who actively challenge commerce in the face of harsh living environments. Research design, data and methodology: Adopting the concept of retail functions and retail skills, this study examines how venture merchants perform retail functions, and identifies the required retail skills. This study analyzed primary data obtained through an interview with a bookstore called Lunuganga. Results: The venture merchant purchases products based on his self-assertion and creates an original "store identification." Moreover, he draws a changing "own-store customers image" and acquires "own-store customers," that is, customers acquired by him by building an original store identity. He sells products to "own-store customers" who identify with the store. The retail skills identified as required by venture merchants to carry out such retail functions were "skill to draw a store identification" and "skill to draw own-store customer image." Conclusions: Venture merchants' unique retail functions and retail skills suggest a new basis for the existence of small and medium-sized retailers. It is necessary to build a generalized theoretical hypothesis model by refining the concept presented in this paper by repeating research targeting venture merchants in the same industry and different industries.