• Journal of Biosystems Engineering
• /
• 제30권5호
• /
• pp.299-305
• /
• 2005

This study was developed image processing algorithm for recognition of few teats of a cow in the image using black and white camera attached with infrared filter. Spectroscopic analysis was used for selection of a NIR filter to separate teats from udder skin in the image captured. To verify the performance of image processing algorithm was developed and NIR filter was selected, carried out an experiment with cows. NIR band-pass filter was used to pass the 975nm band of light spectrum. The image processing algorithm was developed could recognize all teats and the process time was 0.9 second to recognize the all teats and to acquire end position of teats.

• 한국정보과학회논문지:소프트웨어및응용
• /
• 제34권7호
• /
• pp.667-680
• /
• 2007

생체데이타 프로세싱이란 인간개체로부터 얻을 수 있는 고유의 생체 신호를 이용하여 다양한 목적으로 사용하는 것으로, 최근 이에 대한 요구가 높아지고 있다. 생체데이타는 도메인의 특성상, 클래스의 수는 많고 해당 클래스 내의 데이타는 상당히 제한적일 수 있어서 그만큼 데이타 내에 포함된 노이즈에 민감하게 된다. 따라서 기존의 패턴 인식과 분류 방법을 그대로 적용하여 개발된 시스템의 경우는 높은 일반화 성능을 기대하기 힘들다. 이를 해결하기 위해 본 논문에서는 생체데이타가 가지는 특성을 고려하여 각 클래스 고유의 특성에 영향을 미치는 클래스 요인과 노이즈와 같이 전체 데이타에 영향을 미치는 환경 요인으로 구성된 변형된 팩터 분석 모델로 생체데이타 생성 모델을 정의한다. 이를 바탕으로 분류에 필요한 데이타간 이격(inter-data discrepancy) 정보를 추출하고 새로운 유사도 함수를 정의하여 분류기에 적용한다. 제안하는 방법은 분류 대상이 되는 클래스의 정보 팔용을 극대화 하여 적은 수의 데이터로부터 노이즈에 강인한 결과를 얻을 수 있다. 실제 생체데이타를 적용한 실험에서 제안하는 방법이 기존의 방법 보다 우수한 분류 성능을 보임을 확인할 수 있었다.

• 센서학회지
• /
• 제14권2호
• /
• pp.69-77
• /
• 2005

The electronic nose (e-nose) has been used in food industry and quality controls in plastic packaging. Recently it finds its applications in medical diagnosis, specifically on detection of diabetes, pulmonary or gastrointestinal problem, or infections by examining odors in the breath or tissues with its odor characterizing ability. Moreover, the use of portable e-nose enables the on-site measurements and analysis of vapors without extra gas-sampling units. This is expected to widen the application of the e-nose in various fields including point-of-care-test or e-health. In this study, a PDA-based portable e-nose was developed using micro-machined gas sensor array and miniaturized electronic interfaces. The rich capacities of the PDA in its computing power and various interfaces are expected to provide the rapid and application specific development of the diagnostic devices, and easy connection to other facilities through information technology (IT) infra. For performance verification of the developed portable e-nose system, Six different vapors were measured using the system. Seven different carbon-black polymer composites were used for the sensor array. The results showed the reproducibility of the measured data and the distinguishable patterns between the vapor species. Additionally, the application of two typical pattern recognition algorithms verified the possibility of the automatic vapor recognition from the portable measurements. These validated the portable e-nose based on PDA developed in this study.

• 정보처리학회논문지A
• /
• 제17A권1호
• /
• pp.33-44
• /
• 2010

본 논문에서는 생체 모방 로봇을 이용한 관로 모니터링 시스템에 대하여 제안한다. 생체 모방 로봇은 관로를 이동하며 온도, 습도, 진동 등 다양한 정보를 획득한다. 관로를 이동하기 위하여 기본적으로 갖추어야 할 기능은 로봇이 이동하여야 할 관로의 형태를 인식하는 것이다. 관로의 형태 인식을 위한 센서로 적외선 거리 측정 센서를 사용하며, 모터에 연결된 센서는 회전 운동을 하며 측정된 각도 및 거리 정보 데이터를 이용하여 관로의 형태, 각도 등을 인식한다. 관로의 형태 인식은 모터에 의해 회전 운동하는 적외선 거리 측정 센서에 의해 감지되는 관로의 개수와 위치에 의한다. 한번 스캔된 데이터에서 감지되는 관로의 수에 따라 별도의 퍼지 분류기를 이용하여 형태 및 관로의 휘어진 각도 등을 추정하며, 다양한 형태의 관로에 대해 실제 측정된 데이터를 통하여 제안된 시스템이 효율적임을 확인한다.

• Bulletin of the Korean Chemical Society
• /
• 제30권12호
• /
• pp.2938-2942
• /
• 2009

New receptors 1-3 that bind stereoselectively amino alcohols and convert chirality of amino acidsvia imine bond formation were synthesized. The receptors have uryl (1), thiouryl (2) and guanidinium (3) groups all with additional phenylcarbonyl motifs, which are effective hydrogen bonding donors and play a key role in the stereoselective recognitions. The stereoselectivities were measured from the integration of $^1HNMR$ peaks. Compound 1 and 2 showed the stereoselectivities for the imine formation with amino alcohols ($K_R/K_S$) in the range of 2${\sim}$4, and compound 3 in the range of 4${\sim}$8. Chirality conversion efficienciesof 1-3 for amino acids, i.e. D/L ratio at equilibrium, are in the range of 1.5${\sim}$5.6, showing a little higher efficiency with 3. The additional phenylcarbonyl motifs in 1-3 were revealed not to contribute to significant enhancement of the selectivities.

• 한국농업기계학회:학술대회논문집
• /
• 한국농업기계학회 1996년도 International Conference on Agricultural Machinery Engineering Proceedings
• /
• pp.773-779
• /
• 1996

Dried oak mushroom have complex and various visual features. Grading and sorting of dried oak mushrooms has been done by the human expert. Though actions involved in human grading looked simple, a decision making underneath the simple action comes from the result of the complex neural processing of the visual image. Through processing details involved in human visual recognition has not been fully investigated yet, it might say human can recognize objects via one of three ways such as extracting specific features or just image itself without extracting those features or in a combined manner. In most cases, extracting some special quantitative features from the camera image requires complex algorithms and processing of the gray level image requires the heavy computing load. This fact can be worse especially in dealing with nonuniform, irregular and fuzzy shaped agricultural products, resulting in poor performance because of the sensitiveness to the crisp criteria or specific ules set up by algorithms. Also restriction of the real time processing often forces to use binary segmentation but in that case some important information of the object can be lost. In this paper, the neuro net based real time recognition algorithm was proposed without extracting any visual feature but using only the directly captured raw gray images. Specially formated adaptable size of grids was proposed for the network input. The compensation of illumination was also done to accomodate the variable lighting environment. The proposed grading scheme showed very successful results.

• 대한금속재료학회지
• /
• 제46권3호
• /
• pp.131-134
• /
• 2008

The magnetism of$Fe_3O_4$ nanoparticles was applied to magnetic bio-panning process for finding specific sequences against $Fe_3O_4$ crystal phase. Vibrating sample magnetometer (VSM) measurement showed that the coercivity of 30 Oe and the saturation magnetization of 55 emu/g were sufficient in controlling particle movement and magnetizing particles in the media, respectively. This ferrimagnetism of nanoparticles practically enhanced panning efficiency by exaggerating centrifuge step and preventing particle loss. Sequencing results showed that histidine which was commonly found in peptide sequences played an important role in the binding onto $Fe_3O_4$ nanoparticle surface. However, various possible motifs were also observed from several neighboring amino acids of histidine.

• 한국컴퓨터산업학회논문지
• /
• 제5권1호
• /
• pp.157-166
• /
• 2004

최근 들어 개인의 고유한 생체정보인 지문, 음성, 얼굴, 홍채, 손의 형태, 정맥분포 등을 사용자 인증에 이용하려는 이른바 생체 인식 및 인증 기술에 관한 연구에 관심이 모아지고 있다. 생체 인증 기술 중 얼굴 정보를 이용한 시스템은 비접촉식이므로 사용자의 거부감이 없고 컴퓨터에 기본으로 탑재되는 PC 카메라를 이용할 수 있다는 점에서 비용상 장점을 가진다. 그러나 얼굴 인증은 동일한 사람의 얼굴이라도 조명 변화, 표정 변화, 시점 변화, 머리 모양의 변화 등에 따라 다른 사람으로 인식될 수 있기 때문에 이러한 변화에 민감하지 않고 안정적인 성능을 갖는 시스템을 구현하는 것이 얼굴 인증 시스템의 목적이라고 할 수 있다. 이 연구에서는 사용자 정보의 기밀성 및 무결성을 제공하고 얼굴 인증시 발생하는 오 인증율(EER)을 최소화하기 위한 사용자 인증 프로토콜을 제안하였다.

• 조형예술학연구
• /
• 제4권
• /
• pp.91-122
• /
• 2002

`Bio morphism` are constituted in paintings where the artists try to embody the elementary properties of living creature as of growth and durability. They are the most appropriate concept of painting to harmonize human being with nature closely. The formative ways of them attach great importance to both unconsciousness and desire , as well as variations or dynamics, by noticing a flow of natural senses and feelings of human being. In other words, the formative ways are based on a recognition of nature as the intrinsic force of life, with the result that aesthetics of incompleteness is embodied in images. Therefore they are clearly distinguished from that of functional, geometric images. A tendency of painting at that time, in a word, 'return to figure and expression', means a conversion into organic images like the incomplete, atypical, and biomorphic forms, while denying the mechanical or geometric. Elizabeth Murray are analyzed, for these works are remarkable in the characteristics of 'Bio morphism'. Consequently the features of organic images, that is, 'the formative acceptance of natural figures, or an informality' and 'the force of free will, or an incompleteness', could obviously be revealed. It is a type that obtains a motif out of natural figures like an animal, a plant, or the concrete figures of human being. In conclusion, this thesis is focused on not only emphasizing that 'Bio morphism' were a major tendency among the various trends of postmodern painting in the 20th century, but also analysing both the painterly formation of organic images and the structure of them. In addition to these points, it is a central aim to evoke that Bio morphism should accurately be evaluated and positioned in postmodern painting. A new recognition of 'Bio morphism' is a peculiarity of the times that reflects a cultural aspect of the present, hence it should be recognized as another way to approach the postmodern painting.

• 로봇학회논문지
• /
• 제14권3호
• /
• pp.211-220
• /
• 2019

Surface electromyogram (sEMG), which is a bio-electrical signal originated from action potentials of nerves and muscle fibers activated by motor neurons, has been widely used for recognizing motion intention of robotic prosthesis for amputees because it enables a device to be operated intuitively by users without any artificial and additional work. In this paper, we propose a training-free unsupervised sEMG pattern recognition algorithm. It is useful for the gesture recognition for the amputees from whom we cannot achieve motion labels for the previous supervised pattern recognition algorithms. Using the proposed algorithm, we can classify the sEMG signals for gesture recognition and the calculated threshold probability value can be used as a sensitivity parameter for pattern registration. The proposed algorithm was verified by a case study of a patient with partial-hand amputation.