• Bulletin of the Korean Space Science Society
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• 2010.04a
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• pp.36.1-36.1
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• 2010

GNSS(Global Navigation Satellite System)의 하나인 GPS(Global Positioning System)를 이용한 정밀 측위에 있어서 위성의 시계오차는 측위 정확도에 매우 큰 영향을 미친다. GPS위성에는 세슘(Cs)과 루비듐(Rb)으로 이루어진 4개의 원자시계가 탑재되어있으며 현재 사용하고 있는 원자시계의 종류는 NANU(GPS Notice Advisory to Navster Users) 정보를 통해 알 수 있다. 이 연구에서는 IGS(International GNSS Service)에서 제공하는 sp3 파일과 clk 파일을 이용하여 위성시계 특성을 분석하였다. 2000년부터 2009년까지의 sp3 파일에서 각 PRN에 대한 위성시계오차 값을 추출하여 그래프로 분석하였다. 그 결과 대부분의 세슘시계는 직선형태, 루비듐시계는 곡선형태의 특성을 보였으나 일정한 경향은 나타나지 않음을 알 수 있었다. 또한 3주간의 clk 파일에서 위성시계오차 값을 추출하여 각 PRN별로 1차식과 2차식으로 접합(fitting)하고 그 결과를 비교하였다. 세슘시계의 위성시계오차 값의 경우 2차식보다 1차식이 추출 데이터와 일치함을 알 수 있었으며 세슘시계의 위성시계오차 값은 직선형태의 특성을 보이는 것을 확인 할 수 있었다. 그리고 Modified Allan Deviation(MADEV) 방법을 적용하여 분석한 결과 GPS 위성의 block 별로 서로 다른 특성이 보임을 확인할 수 있었다.

• The KIPS Transactions:PartB
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• v.16B no.5
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• pp.341-346
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• 2009

The motion data glove is a representative human-computer interaction tool that inputs human hand gestures to computers by measuring their motions. The motion data glove is essential equipment used for new computer technologiesincluding home automation, virtual reality, biometrics, motion capture. For its popular usage, this paper attempts to develop an inexpensive visual.type motion data glove that can be used without any special equipment. The proposed approach has the special feature; it can be developed as a low-cost one becauseof not using high-cost motion-sensing fibers that were used in the conventional approaches. That makes its easy production and popular use possible. This approach adopts a visual method that is obtained by improving conventional optic motion capture technology, instead of mechanical method using motion-sensing fibers. Compared to conventional visual methods, the proposed method has the following advantages and originalities Firstly, conventional visual methods use many cameras and equipments to reconstruct 3D pose with eliminating occlusions But the proposed method adopts a mono vision approachthat makes simple and low cost equipments possible. Secondly, conventional mono vision methods have difficulty in reconstructing 3D pose of occluded parts in images because they have weak points about occlusions. But the proposed approach can reconstruct occluded parts in images by using originally designed thin-bar-shaped optic indicators. Thirdly, many cases of conventional methods use nonlinear numerical computation image analysis algorithm, so they have inconvenience about their initialization and computation times. But the proposed method improves these inconveniences by using a closed-form image analysis algorithm that is obtained from original formulation. Fourthly, many cases of conventional closed-form algorithms use approximations in their formulations processes, so they have disadvantages of low accuracy and confined applications due to singularities. But the proposed method improves these disadvantages by original formulation techniques where a closed-form algorithm is derived by using exponential-form twist coordinates, instead of using approximations or local parameterizations such as Euler angels.

• The korean journal of orthodontics
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• v.28 no.5 s.70
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• pp.763-774
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• 1998

The purpose of this study was to evaluate the morphology of mandibular symphysis and location of lower incisor under the influence of the craniofacial skeleton in skeletal Class III malocclusion. The sample consisted of 132 adults who have severe Class III malocclusion(prognathism group, 33 males and 33 females), and who have normal occlusion(normal group, 33 males and 33 females). They had not received any orthodontic treatment or orthognathic surgery. The lateral cephalograms were evaluated. The results were as follows : 1. Prognathism group were larger than normal group in comparison of facial skeleton (p<0.05) with the exception of ${\angle}FH-Pal$, ${\angle}SNA$. 2. In the morphology of symphysis, measurements of anteroposterior width(LaABBW, LiABBW, SW) of prognathism group were significantly less than that of normal group(p<0.001). 3. In the correlative analysis between the craniofacial skeleton and symphysis measurements of prognathism group, vertical measurements in relation with cranial base and mandibular plane showed reverse correlationship with anteroposterior width of symphysis(LiACBW, LaACBW, LiABBW, SW)(p<0.05). But, there was not distinct difference between horizontal skeletal measurements and symphysis measurements(p>0.05). 4. The probability by regression test between vertical measurements(${\angle}SN-Mn,\;{\angle}FMA,\;{\angle}Pal-Mn,\;{\angle}LFH$) and symphysis measurements(LiACBW, LiABBW, SW, ${\angle}LISA$) were very high(p<0.001).

• Journal of the Korean Institute of Intelligent Systems
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• v.26 no.2
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• pp.147-152
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• 2016

Shape Memory Alloys (SMAs) undergo changes in shape and hardness when heated or cooled, and do so with great force. Since wire-type SMAs contract in length when heated and pull with a surprisingly large force and move silently, they can be used as actuactors which replace motors. These SMA actuators can be heated directly with electricity and can be used to create a wide range of motions. This paper presents the mechanical design and control for a three fingered, six degree-of-freedom robotic hand actuated by SMA actuators. Each finger has two joints and each joint is actuated with two tendons in the antagonistic manner. In order to create the sufficient force to make the smooth motion, the tendon is composed of two SMA actuators in parallel. For controlling the current to heat the SMA actuators, PWM drivers are used. In experiments, the antagonistic interaction of fingers are evaluated.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.2
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• pp.167-173
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• 2015

Extraction of Finger-end points is one of the most process for user multi-commands in the Hand-Gesture interface technology. However, most of previous works use the geometric and morphological method for extracting a finger-end points. Therefore, this paper proposes the method of user finger-end points extraction that is motivated a ultrared diffused illumination, which is used for the user commands in the multi-touch display device. Proposed air-mouse is worked by the quantity state and moving direction of extracted finger-end points. Also, our system includes a basic mouse event, as well as the continuous command function for expending a user multi-gesture. In order to evaluate the performance of the our proposed method, after applying to the web browser application as a command device. As a result, the proposed method showed the average 90% success-rate for the various user-commands.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.9
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• pp.1172-1178
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• 2018

A system that control computer presentations by using the hand motion recognition and identification is proposed. The system recognizes and identifies various types of motion in hand motion, controlls the presentation without additional control devices. To recognize hand movements, it performs a face and hand region detection. Facial area is detected using Haar classifier and hand region is extracted according to skin color information on HSV color model. The face area is used to determine the beginning and end of hand gestures, the size and direction of motion. It recognizes various hand gestures and uses them to control computer presentations according to the hand motion identification rules that are proposed and set horizontal and vertical axes from the face area. It is confirmed that 97.2% recognition rate is obtained in about 1200 hand motion recognition experiments and the proposed algorithm is valid in presentation control.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.910
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• pp.1300-1311
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• 2004

The aim of this study was to provide the 2 and 3 dimensional statistics requisite in the sizing system and design of gloves. The 64 2-dimensional static measurements were selected to provide information about hands. Participants in the study were 824 adults, aged between 18 and 64. To summarize the information from the measurement values, a Factor Analysis and a Cluster Analysis among multivariate analyses were performed. 3-D scanner was used for visual results of hand shape of each cluster. The results were as follows. Twenty-two items were used for the factor and cluster analysis in order to classify the adult hand shape. The variable quantities that are explained by a total of 3 factors amounted to under 79.37% of the variable quantities. The definition results of the factors related to the hands are as follows: Factor 1 is the horizontal dimension, the thickness of hand factor; Factor 2 is the height of the crotch; and Factor 3 is the vertical dimension of the hand. The adults' group hand was divided into 2 clusters according to a cluster analysis using factor scores. The characteristics according to hand type were as follows: Cluster 1 referred to high horizontal dimensions and thickness, rather small vertical dimensions and crotch height; and Cluster 2 represented the rather smaller horizontal dimensions and thickness but longer hand length than Type 1. To provide specific shape data of each cluster, 3-D scanner measurement was performed. 3-dimensional data base was developed for each cluster type and visual information was provided.

• Journal of the Korea Society of Computer and Information
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• v.10 no.4 s.36
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• pp.47-56
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• 2005

With the development of wearable(ubiquitous) computers, those traditional interfaces between human and computers gradually become uncomfortable to use, which directly leads to a requirement for new one. In this paper, we study on a new interface in which computers try to recognize the gesture of human through a digital camera. Because the method of recognizing hand gesture through camera is affected by the surrounding environment such as lighting and so on, the detector should be a little sensitive. Recently, Viola's detector shows a favorable result in face detection. where Adaboost learning algorithm is used with the Haar features from the integral image. We apply this method to hand area detection and carry out comparative experiments with the classic method using skin color. Experimental results show Viola's detector is more robust than the detection method using skin color in the environment that degradation may occur by surroundings like effect of lighting.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2020.08a
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• pp.42-42
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• 2020

오이(Cucumis sativa L.)는 1년생 초본의 덩굴성 박과 작물로 미숙한 과실을 다양한 식품 용도로 이용하고 있다. 오이는 시설재배기술 확립으로 연중 생산과 공급이 가능하나 내병성 품종개발이 필요한 실정이다. 또한 오이의 다양한 생리활성 물질에 대한 관심이 높아지고 있어 이를 위한 다양한 오이 자원이 필요한 실정이다. 본 연구에서는 국내외에서 수집한 오이 180자원의 형태적 특성을 분석하여 육종 소재로 활용하는데 있어 기초 정보를 제공하고자 하였다. 본 연구에서 사용된 오이 자원의 원산지는 조지아 98자원, 한국 37자원, 중국 28자원, 우즈베키스탄 17자원이었다. 오이 180자원은 모두 덩굴손을 가졌으며 자웅동주로 조사되었다. 착과습성은 주지형 83자원, 주지 및 측지형 97자원으로 조사되었고 절화당 자화수는 175자원이 2개로 조사되었으며 5자원은 1개로 조사되었다. 과형은 장원형 87자원, 단원형 92자원으로 대부분을 차지하였으며 과선단좁은형이 1자원 조사되었다. 과기부형태는 평평한 형태 83자원, 휘어진 형태 94자원으로 대부분이었으며 오목한 형태 1자원, 뽀족한 형태 2자원이 조사되었다. 과선단의 형태는 평평한 형태 148자원, 휘어지 형태 32자원으로 조사되었다. 오이 유전자원의 개화기는 60~80일로 평균 66.1일 이었으며 과실 성숙기는 33~68일로 평균 49.6일이었다. 국가별로 개화기는 62.4일(중국)~68.5일(한국), 과실성숙기는 48.3일(중국,조지아)~54.1일(우즈베키스탄)로 조사되었다. 본 실험에서 조사된 오이 유전자원의 형태적 특성은 오이 선발에 있어 기초 정보로 활용 가능할 것이며 추가적으로 농업형질, 내병성, 기능성 분석등의 오이 육종 프로그램을 위한 다양한 자원 평가 및 선발이 필요할 것이다.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.41 no.6
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• pp.279-283
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• 2004

In general, triangular shape filters are used in the filter bank when we extract MFCC feature parameters from the spectrum of the speech signal. A different approach, which uses specific filter shapes in the filter bank that are optimized to the spectrum of training speech data, is proposed by Lee et al. to improve the recognition rate. A principal component analysis method is used to get the optimized filter coefficients. Using a large amount of 4-digit telephone speech database, in this paper, we get the MFCCs based on the PCA-optimized filter bank and compare the recognition performance with conventional MFCCs and direct weighted filter bank based MFCCs. Experimental results have shown that the MFCC based on the PCA-optimized filter bank give slight improvement in recognition rate compared to the conventional MFCCs but fail to achieve better performance than the MFCCs based on the direct weighted filter bank analysis. Experimental results are discussed with our findings.