• Corrosion Science and Technology
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• 제20권2호
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• pp.62-68
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• 2021

Artificial neural network techniques show an excellent ability to predict the data (output) for various complex characteristics (input). It is primarily specialized to solve nonlinear relationship problems. This study is an experimental investigation that applies artificial neural network techniques and an experimental design to predict the cyclic polarization curves of the super-austenitic stainless steel AL-6XN alloy with sensitization. A cyclic polarization test was conducted in a 3.5% NaCl solution based on an experimental design matrix with various factors (degree of sensitization, temperature, pH) and their levels, and a total of 36 cyclic polarization data were acquired. The 36 cyclic polarization patterns were used as training data for the artificial neural network model. As a result, the supervised learning algorithms with back-propagation showed high learning and prediction performances. The model showed an excellent training performance (R²=0.998) and a considerable prediction performance (R²=0.812) for the conditions that were not included in the training data.

• 한국임상수의학회지
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• 제20권3호
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• pp.323-327
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• 2003

This study has been conducted to compare the efficacy of sodium carboxymethylcellulose (SCMC) and hyaluronic acid (HA) on prevention of adhesion after artificial wound was induced in intestine. 1 % SCMC and 0.3% HA solution and saline solution were respectively administered to abdominal cavity. Each of the three groups consists of 11 rats. The abdominal cavity of each rat was coated with 2 ml of the allocated solution just after the abdomen was cut open, and it was coated with each solution of 1 ml before abrasion were caused on the cecum, the ascending colon and the transverse colon. Then, an additional 1 ml solution was injected before the abdomen was closed. On day 14 after the operation, each adhesion formation was evaluated at the score of 0-4. The HA group and SCMC group showed significantly lower adhesion scores than control group in all regions(P< 0.05). The adhesion scores of ascending colon, transverse colon and no abrasion region of the viscera showed little difference between HA group and SCMC group(P< 0.05), but the effect of adhesion reduction showed higher tendency in the HA group than the SCMC. The adhesion score of the cecum was significantly lower in HA group than SCMC group(P< 0.05). In conclusion, the SCMC solution and HA solution were effective on prevention of abdominal adhesion resulting from the celiotomy. Among of them, the HA solution could be more effective on prevention of adhesion than SCMC solution.

• 전기의세계
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• 제22권5호
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• pp.12-18
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• 1973

This paper deals with Linear Programming by Signal Flow Graph technique which is different from that of Mason and Coates. The objective function is regarded as variable, and slack variable node, artificial variable node and objective function variable (constant) node are newly defined, which shows the process for optimization of solution very intuitively. Also methods for solving L.P. and examples with subject to Ax.leq.b, Ax=b and Ax.geq.b are presented.

• 대한수학회논문집
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• 제12권2호
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• pp.427-456
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• 1997

This paper concerns constructing wavelet bases on the unit interval, where a new boundary treatment is provided to overcome certain drawbacks of eariler constructions. Wavelet expansions on the unit interval usually suffer from artificial boundary effects and poor convergence at the boundaries. Many researchers have suggested a solution to the drawbacks. From a practical point of view, their solutions also have a common disadvantage. This paper provides a new solution using biorthogonality near the boundaries, that avoids the disadvantage while preserving their advantages.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1998년도 하계학술대회 논문집 A
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• pp.113-115
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• 1998

This paper presents the indirect boundary integral equation method(BIEM) to analyze 3D moving conductor problem. Instead of an artificial upwind algothm, the proposed method uses a fundamental Green's function which is a particular solution of diffusion equation. Therefore, this method yields a stable and accurate solution regardless of the Peclet number. The indirect BIEM is compared with 3D upwind FEM for a numerical model which has analytic solutions.

• 대한치과보철학회지
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• 제33권2호
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• pp.210-230
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• 1995

To compare the wear resistance of four kinds of commercial acrylic resin teeth [SR-Orthosit PosterioresR(Ivoclar Co., Liechtenstein), Endura PosteriorR(Shofu Inc. Japan), trubyte IPN teethR(Dentsply International Inc., York,), Trubyte BiotoneR(dentsply Inermational Inc. Brazil) by means of the toothbrush abrasion method, the artificial resin teeth were embedded in epoxy resin with the occlusal surfaces aligned in one plane for a total of 40 blocks. There after, each lock was mounted in the arm of the toothbrush abrasion machine(K 236, Japan). Wear measurements were made on the three preconditioned states. Those were as follows : no treatment specimens, thermocycled specimens, and thermocycled specimens which were immeresed applied load of 400g during the buring the brushing cycle. At the end of the 30,000-stroke cycle, each specimen was removed, and weighed. The microhardness of four kinds of commercial resin teeth were determined by means of microhardness tester. Microhardness tests were performed on te no treatment specimens, thermocycled specimens, and thermocycled specimens with immersion in the denture cleansing solution. Finally, the comparison of thermal properties were perfomed using differential scanning calorimeter(DSC-1500). The following results were obtained : 1. In the case of no treatment teeth, the wear amount of endura Posterior(EN) was the greatest among the others(p<0.01), and the wear amount of three kinds of artificial resin teeth was increased in the order of Trubyte IPN teeth(IN), Trubyte Biotone(BN), SR-Orthosit Posteriores(SN) but there was no statistic significance(p>0.01). 2. The wear amount of Trubyte IPN teeth(IT) and Trubyte Biotone(BT), was increased due to thermocycling effect, but that of Endura Posteriores(ET) was decreased conversely(p<0.01). 3. Except for the SR-Orthosit Posteriores(STC), the wear amount of three kinds of artificial resing teeth(that is, ETC, ITC, BTC) was increased due to denture cleansing solution$(Cledent^R)$, but there was no statistic significance(p>0.01). But the wear amount of the SR-Orthosit Posteriores(STC) was the greatest among the others(p<0.01). 4. The wear amount of toothbrush was the greatest in case of contact with occlusal surface of SROrthosit Posteriores resin teeth(p<0.01). 5. the microhardness values(KHN) of the SR-Orthosit Posteriores was the highest among the experimental artificial resin teeth(p<0.01). 6. There was no relationship between microhardness valuse(KHN) and wear amount of four kinds of experimental artificial resin teeth(p<0.01). 7. The differential canning calorimetric property of four kinds of artificial resin teeth did not show endothermal or exothermal peak in the range of $100^{\circ}C$

• 한국콘텐츠학회논문지
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• 제20권10호
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• pp.688-701
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• 2020

본 연구는 시각장애인 대상의 인공지능 관련 연구 동향을 살펴보기 위해 1993년부터 2020년 8월까지 국내·외 논문 총 68편을 선정하여 연도별 논문 게재 수, 연구방법, 연구주제, 키워드 분석 현황, 연구유형, 구현방법별 비교·분석하였다. 연구결과, 연구기간 내 논문 편수는 꾸준히 증가하는 것처럼 보였으나 국내 연구의 경우에는 2016년도 이후에 활발해진 것을 알 수 있었다. 연구방법으로는 국내·외 연구 모두 개발연구가 89.7%를 차지했고, 키워드는 국내 연구에서는 Visually impaired, Deep learning, Assistive device 순이였으며 국외 연구에서는 Visually impaired, Deep learning, Artificial intelligence 순으로 단어 빈도순에서 차이를 보였다. 연구유형은 국내·외 모두 설계, 개발, 구현이 대부분을 차지했으며 구현방법으로는 국내 연구의 구현방법으로는 System 13.2%, Solution 7.4%, App. 4.4% 순이였으며 국외 연구의 구현방법으로는 System 32.4%, App.13.2%, Device 7.4%로 다소 차이를 보였다. 구현방법의 적용 기술로는 국내 연구는 YOLO 2.7%, TTS 2.1%, Tensorflow 2.1% 순이였으며 국외 연구에서는 CNN 8.0%, TTS 5.3%, MS-COCO 4.3% 순으로 사용횟수가 높았다. 본 연구는 시각장애인 대상의 인공지능 관련 연구 동향을 비교·분석하여 국내·외 연구의 현주소를 바로 알고 앞으로 시각장애인을 위한 인공지능 연구의 방향을 제시하고자 하였다.

• 한국생산제조학회지
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• 제7권1호
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• pp.9-21
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• 1998

This paper a new solution approach to moving obstacle avoidance problem of a mobile robot. A new concept avoidability measure (AVM) is defined to describe the state of a pair of a robot and an obstacle regarding the collision between them. As an AVM, virtual distance function (VDF), is derived as a function of the distance from the obstacle to the robot and outward speed of the obstacle relative to the robot. By keeping the virtual distance above some positive limit value, the robot avoids the obstacle. In terms of the VDF ,an artificial potential field is constructed to repel the robot away from the obstacle and to attract the robot toward a goal location. At every sampling time, the artificial potential field is updated and the force driving the robot is derived from the gradient of the artificial potential field. The suggested algorithm drives the robot to avoid moving obstacles in real time. Since the algorithm considers the mobility of the obstacle as well as the distance, it is effective for moving obstacle avoidance. Some simulation studies show the effectiveness of the proposed approach.

• 식물조직배양학회지
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• 제22권1호
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• pp.1-5
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• 1995

벼의 인공종자를 무균상에서 건조시킴으로써 건조형 인공종자를 제조하였다. 1/2 MS배지에서 80%의 수분 손실률을 가진 인공종자는 20%가 발아하였다. 0.1 mg/L ABA가 첨가된 알긴산용액으로 제조한 인공종자는 0-90%의 수분손실률에서 최고 1.7배까지 발아율이 향상되었다. 이러한 결과는 ABA가 인공종자의 제조 및 건조과정에서 물리적 혹은 생리적인 저해에 대한 보호기능을 나타낸 것으로 사료된다.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2005년도 춘계학술대회 논문집
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• pp.927-931
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• 2005

Carbon nanotube actuator, working under physical conditions (in aqueous solution) and converting electrical energy into mechanical energy directly, can be a good substitute for artificial muscle. The carbon nanotube actuator simulated in this paper is an isotropic cantilever type with an adhesive tape which is sandwiched between two single-walled carbon nanotubes. For predicting the static and dynamic characteristic parameters, the analytical model for a 3 layer bimorph carbon nanotube actuator is developed by using Euler-Bernoulli beam theory. The governing equation and boundary conditions are derived from energy principles. The induced displacements of the theoretical model are presented in order to investigate the performance of the carbon nanotube actuator with different control voltages. The developed model presents invaluable means for designing and predicting the performance of carbon nanotube actuator that can be used in artificial muscle applications.