• Journal of the Korea Institute of Military Science and Technology
• /
• v.8 no.4 s.23
• /
• pp.152-158
• /
• 2005

In this paper, we have proposed a fuel metering unit of ai breathing engine. The proposed valve system consists of a constant pressure drop valve and a metering valve, which are controlled by servovalve. We carried out nonlinear and linear analysis, computer simulation and experimentation to find effects of some factors on system performance. Analysis and experimental results show a good agreement. It is also shown that the system stability is affected by pressure drop of metering valve and inlet pressure of injectors.

• Journal of Families and Better Life
• /
• v.24 no.3 s.81
• /
• pp.59-72
• /
• 2006

This article explores bilateralization phenomena in Korean families through intimacy and interaction with matrilineal kins. In-depth interviews were conducted with married men and women aged from their mid-30s to mid-40s. The findings indicate that the intimacy range of participants was restricted to blood-based kins. The power hypothesis was supported for male participants. Some wanted to actively contact their spouse's family members, while others did not want to be connected with the spouse's families. Interaction with wives' families was based on the exchange perspective. In contrast, a complicated mechanism existed in the intimacy and interaction of female participants. Most of them were connected with in-laws in a passive way but actively interacted with their family-of-origin. However, some female respondents did not have good relationships with their mothers. Undifferentiation between mothers and married daughters negatively influenced their relationships. Therefore, it could be concluded that bilateralization phenomena in Korean families is another kind of shackle of patrilineal norms.

• Journal of Astronomy and Space Sciences
• /
• v.29 no.2
• /
• pp.131-140
• /
• 2012

We presented fundamental stellar parameters and evolutionary statuses of six solar type detached eclipsing binaries whose masses are in the range of 0.97-1.43 $M_{\odot}$. EK Cep and FL Lyr belong to the zero age main sequence. HS Hya, IT Cas and CD Tau are on the main sequence. Their ages are 1.3, 1.9 and 2.2 Gyr, respectively. Both component stars of AI Phe evolved to sub giants and its age is 4.0 Gyr. Those ages of the detached binary systems show good agreement with the time scale for synchronization and circularization of the binary systems.

• Proceedings of the Korea Inteligent Information System Society Conference
• /
• 2004.11a
• /
• pp.179-188
• /
• 2004

Bankruptcy prediction is an important and widely studied topic since it can have significant impact on bank lending decisions and profitability. Recently, support vector machine (SVM) has been applied to the problem of bankruptcy prediction. The SVM-based method has been compared with other methods such as neural network, logistic regression and has shown good results. Genetic algorithm (GA) has been increasingly applied in conjunction with other AI techniques such as neural network, CBR. However, few studies have dealt with integration of GA and SVM, though there is a great potential for useful applications in this area. This study proposes the methods for improving SVM performance in two aspects: feature subset selection and parameter optimization. GA is used to optimize both feature subset and parameters of SVM simultaneously for bankruptcy prediction.

• Corrosion Science and Technology
• /
• v.2 no.6
• /
• pp.277-282
• /
• 2003

Holographic interferometry, an electromagnetic method, was used to study corrosion of carbon steel, aluminum and copper nickel alloys in NaOH, KCI and $H_2SO_4$ solutions respectively. The technique, called electrochemical emission spectroscopy, consisted of in-situ monitoring of changes in the number of fringe evolutions during the corrosion process. It allowed a detailed picture of anodic dissolution rate changes of alloys. The results were compared to common corrosion measurement methods such as linear polarization resistance measurements and electrochemical impedance spectroscopy. A good agreement between both data was found, thus indicating that holographic interferometry can be a very powerful technique for in-situ corrosion monitoring.

• Journal of the Korean Vacuum Society
• /
• v.12 no.S1
• /
• pp.21-27
• /
• 2003

Micro-arc discharge oxidation (MDO) is a cost-effective plasma electrolytic process which can be used to improve the wear and corrosion resistance of Al-alloy parts by forming a alumina coating on the component surface. However, the MDO coated Al-alloy components often exhibit relatively high friction coefficients and low wear resistance fitted with many counterface materials, additionally, the pitting corrosion for the MDO coated AI-alloy components, especially for a thinner alumina coating, often occurs in atmosphere circumstance due to the porous alumina coats. Therefore, a duplex treatment, combining a MDO coated ahumina thin layer with a TiN coating, prepared by magnetron sputtering (MS), has been investigated. The Vicker's microhardness, pin-on-disc, electrochemical measurement, salt spray, XRD and SEM tests were used to characterize and analyze the treated samples. The work demonstrates that the MDO/MS coated samples have a combination of a very low friction coefficient and good wear resistance as well as corrosion since the micro-holes on alumina coating are partly or fully covered by TiN material.

• Transactions of the Korean Society of Automotive Engineers
• /
• v.6 no.6
• /
• pp.53-62
• /
• 1998

A simple analytical and finite element(FE) models are used to study the tensile properties of Al matrix composite with continuous TiNi fibers. The effects of residual stresses caused by the shape momory effects have been compared for various mechanical behaviors as a function of fiber volume fraction and degree of pre-strain and fiber configurations. It is found that both the back stress in the Al matrix induced by stiffness of TiNi fibers and the compressive stress in the matrix are caused of the strengthening mechanisms. Both theoretical and analytical results show quite good agreement and are closed to the experimental data except in high volume content.

• Journal of Korea Multimedia Society
• /
• v.22 no.10
• /
• pp.1187-1198
• /
• 2019

In this study, we propose a new $PM_{10}$ forecasting model for Seoul region using DNN(Deep Neural Network) and secondary data. The previous numerical and Julian forecast model have been developed using primary data such as weather and air quality measurements. These models give excellent results for accuracy and false alarms, but POD is not good for the daily life usage. To solve this problem, we develop four secondary factors composed with primary data, which reflect the correlations between primary factors and high $PM_{10}$ concentrations. The proposed 4 models are A(Anomaly), BT(Back trajectory), CB(Contribution), CS(Cosine similarity), and ALL(model using all 4 secondary data). Among them, model ALL shows the best performance in all indicators, especially the PODs are improved.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2022.11a
• /
• pp.85-87
• /
• 2022

고품질 코드를 위한 정적 분석은 아직도 매우 필요한 영역이며, 또한 코드의 가시화는 개발자들에게 코드의 복잡한 모듈에 대한 가이드에 필요하다. 기존의 코드 가시화는 정적 분석의 코드 내부 정보들을 DB 테이블화 및 품질 지표(CK Metrics, Coupling, # function Calls, Bed smell) 질의어화, 그리고 추출된 정보를 가시화하는 것에만 초점을 두었다. 문제는 코드 내부 정보(Class, method, parameters, etc) 테이블들에 대한 join 연산 시 엄청난 시간과 리소스가 소모된다. 이 문제를 해결하기 위해, 우리는 테이블 설계의 정규화를 제안한다. 또한 필요한 품질 지표의 질의를 통해 코드 내부 정보 추출하여 데이터 및 제어 복잡 모듈을 식별하여 refactoring 를 가이드 한다. 앞으로는 이 부분의 AI learning 을 통해 bad/good program 을 식별을 기대한다.

• International Journal of Internet, Broadcasting and Communication
• /
• v.16 no.1
• /
• pp.280-286
• /
• 2024

In this paper, layered UNet with warmup and dropout tricks was used to segment teeth instantly by using data labeled for each individual tooth and increase performance of the result. The layered UNet proposed before showed very good performance in tooth segmentation without distinguishing tooth number. To do instance segmentation of teeth, we labeled teeth CBCT data according to tooth numbering system which is devised by FDI World Dental Federation notation. Colors for labeled teeth are like AI-Hub teeth dataset. Simulation results show that layered UNet does also segment very well for each tooth distinguishing tooth number by color. Layered UNet model using warmup trick was the best with IoU values of 0.80 and 0.77 for training, validation data. To increase the performance of instance segmentation of teeth, we need more labeled data later. The results of this paper can be used to develop medical software that requires tooth recognition, such as orthodontic treatment, wisdom tooth extraction, and implant surgery.