• BMB Reports
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• 제35권6호
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• pp.568-575
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• 2002

An $\alpha$-amylase (EC 3.2.1.1) was purified that catalyses the production of a high level of maltose from starch without the attendant production of glucose. The enzyme was produced extracellularly by thermophilic Streptomyces sp. that was isolated from Thailand's soil. Purification was achieved by alcohol precipiation, DEAE-Cellulose, and Gel filtration chromatographies. The purified enzyme exhibited maximum activity at pH 6-7 and $60^{\circ}C$. It had a relative molecular mass of 45 kDa, as determined by SDS-PAGE. The hydrolysis products from starch had $\alpha$-anomeric forms, as determined by $^1H$-NMR. This maltose-forming $\alpha$-amylase completely hydrolyzed the soluble starch to produce a high level of maltose, representing up to 90%. It hydrolyzed maltotetrose and maltotriose to primarily produce maltose (82% and 62%, repectively) without the attendant production of glucose. The high maltose level as a final end-product from starch and maltooligosaccharides, and the unique action pattern of this enzyme, indicate an unusual maltose-forming system. After the addition of the enzyme in the bread-baking process, the bread's volume increased and kept its softness longer than when the bread had no enzyme.

• 한국지능시스템학회논문지
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• 제21권4호
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• pp.512-517
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• 2011

얼굴영상에서 나타나는 정서특징을 분석하기 위하여 본 논문에서는 Active Shape Model (ASM)과 Lucas-Kanade (LK) optical flow 기법을 기반으로 하는 특징검출 및 분석방법을 제안한다. Facial Action Coding System에 근거하여 묘사된 정서적 특징을 고려하여, 특징이 분포하는 영역에 위치한 다수의 landmark로 shape 모델을 구성하고 모델에서 각 Landmark를 중심으로 하는 움직임 벡터 윈도우 내부의 픽셀에 대한 LK 기법을 통해 optical flow 벡터를 추출한다. 추출된 움직임 벡터의 방향성 조합에 근거하여 얼굴정서특징을 shape 모델로 표현할 수 있으며, 베이지안 분류기라는 확률 기반 추론기법을 기반으로 정서적 상태에 대한 추정할 수 있다. 또한, 정서특징분석과정의 연산 효율성과 정확성 향상을 도모하기 위하여 common spatial pattern (CSP) 분석기법을 적용하여 정서상태 별로 상관성이 높은 특징만으로 구성된 최적정서특징을 추출한다.

• The Journal of Korean Physical Therapy
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• 제23권5호
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• pp.7-14
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• 2011

Purpose: The purpose of this study was to describe the movement patterns when lying from an erect stance to a supine position of healthy adults and hemiplegia patients in the age group from 50 to 70. Methods: The subjects used in this study were 230 patients (144 healthy adults and 86 hemiplegia patients). Movement patterns were classified using categorical descriptions of the action of three body regions: the upper extremity, lower extremity, and the head-trunk region. Results: In the most common supine lying position in healthy adults (29.7%), the female fifties age group performed a symmetrical pattern using the upper extremity region, a symmetrical squat pattern using the lower extremity region, and a symmetrical pattern using the head-trunk region (1-1-1). However, in the most supine lying position in hemiplegia patients (32.0%), the female sixties age group usually performed this pattern by using the upper extremity and lower extremity regions in a squat position by raising the leg, and performing rotation of the head-trunk region (3-4-3). Conclusion: Using this clinical therapy, and considering the patients ability to exercise when lying from an erect stance to a supine position, the proper care could be provided. Moreover, this therapy introduces action based on a variety of training methods and on the effects which might result from any changes.

• 로봇학회논문지
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• 제14권3호
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• pp.211-220
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• 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.

• The Journal of Korean Physical Therapy
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• 제7권1호
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• pp.21-31
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• 1995

This study was described the movement patterns when rising from supine to erect stance. Two hundred eighty seven subjects, ranging in age from 6 year to 28 were filmed while rising from a supine position. Movement Patterns were classified using categorical descriptions of the action of three body regions-the upper and lower extremity, head-trunk region. This study was designed to determine whether within the rising task the movement patterns of different regions of the body vary with age level and sex. The incidence of each movement pattern was calculated and graphed with respect to age level and sex. The most common form of rising for subject in the 6, 7 year mate group usually involved push and reach pattern with upper extremity, half kneel pattern with lower extremity, partial rotation pattern with head-trunk. In the 6, 7 year female group usually involved symmetrical push pattern with upper extremity, symmetrical squat with balance step pattern with lower extremity, symmetrical interrupted by rotation pattern with head - trunk. In the teenage and twenties both sex group usually involved symmetrical push pattern with upper extremity, symmetrical squat pattern with lower extremity, partial rotation pattern with head-trunk.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2009년도 추계학술발표대회
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• pp.369-370
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• 2009

Robot이 음악에 맞춰 어떤 행동을 하기 위해선 먼저 Acoustic을 이해 할 수 있는 인지 능력이 필요하며 인지한 음악적 내용을 Dance Motion에 가깝게 Action을 표현할 수 있어야 한다. 본 논문에서는 신호처리와 기계학습을 사용하여 음악의 Tempo를 Tracking하고 이것을 참고하여 행동 Pattern을 결정하는 Dance Robot System을 소개한다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2003년도 ICCAS
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• pp.491-496
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• 2003

This paper proposes modeling of human behavior and a method of finding irregular human behavior. At first, human behavior model is proposed by paying attention to habitual human behavior at home. Generally, it is difficult to obtain the information of individual life pattern because of high cost for setting sensors such as cameras to observe human action. Therefore we capture turning on/off consumer electronic equipments as actual human behavior action, where some or many consumer electric equipments were used such as television, room light, video and so on in our daily life. Noting that are some relations between turning on/off those consumer electric equipments and our action, we proposes how to construct a human behavior knowledge by analyzing human behavior based on observation of human habitual life. Also an algorithm to identify on find irregular behavior different from habitual life behavior are described. Finally, the significance of the proposed method is shown by some experimental results.

• 한국경영과학회지
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• 제31권3호
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• pp.27-40
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• 2006

Today's customer demands in supply chains tend to change quickly, variously even in a short time Interval. The uncertainties of customer demands make it difficult for supply chains to achieve efficient inventory replenishment, resulting in loosing sales opportunity or keeping excessive chain wide inventories. Un this paper, we propose an adaptive vendor managed inventory (VMI) model for a two-echelon supply chain with non-stationary customer demands using the action-reward learning method. The Purpose of this model is to decrease the inventory cost adaptively. The control Parameter, a compensation factor, is designed to adaptively change as customer demand pattern changes. A simulation-based experiment was performed to compare the performance of the adaptive VMI model.

• The Journal of Korean Physical Therapy
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• 제6권1호
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• pp.147-153
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• 1994

The purpose of this study were to describe the movement pattern used to rise from supine to erect stance and to evaluate the influence gender might have on the movement patterns used for rising. Fifty males and fifty-three females, mean 14 years of age, performed the rising task while being videotaped. Movement patterns were classified using categorical descriptions of the action of three body regions; the upper extremities, lower extremities, and head-trunk region. The most common pattern of males and females were symmetrical push(upper extremity), symmetrical(head-trunk) and symmetrical squat(lower extremity). In the upper extremity component, a symmetrical reach to push pattern was new category. Eighteen of males and twenty-one of females different movement pattern combinations were observed. Results indicate physical therapists should consider the patient's age and gender.

• 조명전기설비학회논문지
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• 제18권6호
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• pp.45-54
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• 2004

일반적으로 반도체 소자의 집적도가 증가함에 따라 기능적 오류 검사 시간이 급격하게 증가하며, 이러한 문제를 해결하기 위해 제조공정에서 패턴 발생기의 사용은 필수적이다. 본 논문에서는 반도체 소자의 기능적 오류를 검사 하기 위한 패턴 발생기의 PLD(Programmable Logic Device) 회로를 설계하였다. 이러한 모든 사항은 시뮬레이션을 통하여 회로의 동작과 기능을 검증하였으며, 만족할만한 결과를 얻었다.