• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
• /
• 2002.05a
• /
• pp.688-693
• /
• 2002

Identification method is formulated to evaluate the dynamic characteristics of air bearings under NFR(Near Field Recording) sliders. Impulse responses and frequency response functions of NFR sliders are obtained on numerical non-linear models including rigid motion of slider and fluid motion of air bearing under the slider. Modal parameters and system parameters are identified by modal analysis method and instrumental variable method. The parameters of sliders are utilized to evaluate the dynamic characteristics of air bearings. Also, this study shows the difference between the dynamic characteristics of NFR and HDD slides, and squeeze effect of air bearings.

• Proceedings of the Korean Vacuum Society Conference
• /
• 2016.02a
• /
• pp.337.1-337.1
• /
• 2016

단일벽 탄소나노튜브(Single-walled carbon nanotubes, SWNTs)는 나노 스케일의 크기와 우수한 물성을 갖고 있어, 전자, 에너지, 바이오 등 다양한 분야로의 응용이 기대되고 있다. 이러한 응용의 실현을 위해서는 경제적, 산업적인 면에서 보다 손쉬운 합성법이 요구된다. SWNTs의 합성에는 대면적의 균일한 CNTs를 합성할 수 있다는 장점이 있는 열화학기상증착법(Thermal chemical vapor deposition, TCVD)이 가장 일반적으로 사용되고 있다. 하지만 탄화수소가스를 효율적으로 분해하기 위하여 $900^{\circ}C$ 이상의 고온공정이 요구되며, 이는 경제적, 산업적인 면에서 사용이 제한적이다. 따라서 저결함, 고수율의 SWNTs를 저온합성 할 수 있는 공정의 개발이 지속적으로 필요하다. 본 연구에서는, TCVD법을 이용하여 에틸렌 원료가스로 SWNTs의 저온합성 가능성을 확인하였다. 합성을 위한 기판과 촉매로는 실리콘 산화막 기판(SiO2/Si wafer)에 철 나노입자를 지닌 ferritin을 스핀코팅 후 산화하여 이용하였다. 저온합성 공정의 변수로는 합성온도와 원료가스인 에틸렌의 분율을 설정하여, 변수가 SWNTs의 결정성과 수율에 미치는 영향을 고찰하였다. 합성된 SWNTs의 분석의 용이함과 손지기(Chirality)의 제어 가능성을 확인하기 위하여 나노 다공성 물질인 제올라이트(Zeolite)를 보조 기판으로 사용하였다. 실험결과 에틸렌 원료가스로 합성한 SWNTs는 메탄을 원료가스로 사용한 경우보다 낮은 $700^{\circ}C$ 부근에서도 합성이 가능함을 확인하였다. 또한 에틸렌의 분율과 합성 시간의 정밀한 제어를 통해 SWNTs의 합성온도를 더욱 감소시키는 것도 가능할 것으로 예상된다.

• Economic and Environmental Geology
• /
• v.55 no.4
• /
• pp.353-366
• /
• 2022

Spatial estimation of geoscience data (geo-data) is challenging due to spatial heterogeneity, data scarcity, and high dimensionality. A novel spatial estimation method is needed to consider the characteristics of geo-data. In this study, we proposed the application of Gaussian Mixture Model (GMM) among machine learning algorithms with multivariate data for robust spatial predictions. The performance of the proposed approach was tested through soil chemical concentration data from a former smelting area. The concentrations of As and Pb determined by ex-situ ICP-AES were the primary variables to be interpolated, while the other metal concentrations by ICP-AES and all data determined by in-situ portable X-ray fluorescence (PXRF) were used as auxiliary variables in GMM and ordinary cokriging (OCK). Among the multidimensional auxiliary variables, important variables were selected using a variable selection method based on the random forest. The results of GMM with important multivariate auxiliary data decreased the root mean-squared error (RMSE) down to 0.11 for As and 0.33 for Pb and increased the correlations (r) up to 0.31 for As and 0.46 for Pb compared to those from ordinary kriging and OCK using univariate or bivariate data. The use of GMM improved the performance of spatial interpretation of anthropogenic metals in soil. The multivariate spatial approach can be applied to understand complex and heterogeneous geological and geochemical features.

• Korean Journal of Remote Sensing
• /
• v.11 no.3
• /
• pp.33-47
• /
• 1995

The representation of point-observed environmental variables in Geographic Information Systems(GIS) has often been inadequate to meet the need of regional-scale ecological and environmental applications. To create a map of continuous surface that would represent more reliable spatial variations for these applications, I present three spatial estimation methods. Using a secondary variable of the proximity to coast line together with rainfall acidity data collected at the 63 acid rain monitoring stations in Korea, average rainfall acidity map was cteated using co-kriging. For comparison, two other commonly used interpolation methods (inverse distance weighting and kriging) were also applied to rainfall acidity data without reference to the secondary variable. These estimation methods were evaluated by both visual assessments of the output maps and the quantitative comparison of error measures that were obtained from cross validation. The co-kriging method produced a rainfall acidity map that showed noticeable improvement in repoducing the inherent spatial pattern as well as provided lower statistical error as compared to the methods using only the primary variable.

• Journal of the Computational Structural Engineering Institute of Korea
• /
• v.35 no.6
• /
• pp.367-374
• /
• 2022

This papter presents the use of the automatic differential method based on the backpropagation method to obtain the design sensitivity and its application to topology optimization considering the stress constraints. Solving topology optimization problems with stress constraints is difficult owing to singularities, the local nature of stress constraints, and nonlinearity with respect to design variables. To solve the singularity problem, the stress relaxation technique is used, and p-norm for stress constraints is applied instead of local stresses for global stress measures. To overcome the nonlinearity of the design variables in stress constraint problems, it is important to analytically obtain the exact design sensitivity. In conventional topology optimization, design sensitivity is obtained efficiently and accurately using the adjoint variable method; however, obtaining the design sensitivity analytically and additionally solving the adjoint equation is difficult. To address this problem, the design sensitivity is obtained using a backpropagation technique that is used to determine optimal weights and biases in the artificial neural network, and it is applied to the topology optimization with the stress constraints. The backpropagation technique is used in automatic differentiation and can simplify the calculation of the design sensitivity for the objectives or constraint functions without complicated analytical derivations. In addition, the backpropagation process is more computationally efficient than solving adjoint equations in sensitivity calculations.

• Proceedings of the KIEE Conference
• /
• summer
• /
• pp.731-733
• /
• 2004

제약급전계획은 중앙급전발전기 및 중앙급전부하의 급전값을 산정하기 위해 각 급전주기마다 해당급전주기에 대하여 전력거래소가 예측한 비중앙급전발전기 및 비중앙급전부하에 대한 자료를 기초로 제약요소를 고려하여 작성하는 급전계획이다. 이 급전계획은 실제발전기와 부하의 출력 및 전력소비를 결정하므로 전력수급 조건, 발전기제약, 전력망제약, 보조서비스제약 등을 고려하여 전력의 시장거래가치를 최대화하도록 해야 한다. 본 논문에서는 제약급전을 결정함에 있어 선형계획법의 적용방법을 제시하고, 해의 수렴 개선을 위해 결정변수 및 제약조건의 수를 줄일 수 있는 방법을 제시한다.

• Transactions of the Korean Society of Mechanical Engineers B
• /
• v.24 no.3
• /
• pp.354-362
• /
• 2000

This paper identifies a discrete-time linear combustion model of Refuse Incineration Plant(RIP) which characterizes steam generation quantity, where the RIP is considered as a MIMO system with thirteen-inputs and one-output. The structure of RIP model is described as an ARX model which are analytically obtained from the combustion dynamics. Furthermore, using the Instrumental Variable(IV) identification algorithm, model structure and unknown parameters are identified from experimental input-output data sets, In result, it is shown that the identified ARX model well approximates the input-output combustion characteristics given by experimental data sets.

• Transactions of the Korean Society of Mechanical Engineers
• /
• v.9 no.1
• /
• pp.109-118
• /
• 1985

특이응력해석을 위한 일반화된 가역상반일 경계분식이 섬유강화복합재를 모형화한 직교 이방성 크랙평판의 수치해를 위하여 발전시켰다. 이 적분방정식은 평판경계에서의 탄성변위와 트랙션의 변수로 구성된 경계분식의 형태로 하중이 없다는 두 크랙면의 경계조건과 유한의 탄성변형에너지 의 개념에서 경계적 분식에 필요한 특성해를 규정하고 대응되는 보조해를 계산하였다. 직교이방 도를 달리한 중앙크랙평판의 응력확대계수를 계산하여 기존해와 비교하였다. 또한 대칭모우드 I 형의 양측크랙평판 및 복합모우드형 편측크랙 일단고정 평판의 응력확대계수가 임의의 섬유방향 각에 따라서 계산되었다.

• Journal of the Korea Institute of Military Science and Technology
• /
• v.8 no.4 s.23
• /
• pp.136-145
• /
• 2005

특이응력해석을 위한 일반화된 가역상반일 경계적분식이 섬유강화복합재를 모형화한 직교 이방성 크랙평판의 수치해를 위하여 발전시켰다. 이 적분방정식은 평판경계에서의 탄성변위와 트랙션의 변수로 구성된 경계적분식의 형태로 하중이 없다는 두 크랙면의 경계조건과 유한의 탄성변형에너지의 개념에서 경계적분식에 필요한 특성해를 규정하고 대응되는 보조해를 계산하였다. 대칭모우드 I형의 중앙원공크랙평판 및 복합모우드형의 반원편측크랙 일단고정평판의 응력확대계수가 임의의 섬유방향각에 따라서 계산되었다.

• Journal of Korea Spatial Information System Society
• /
• v.10 no.1
• /
• pp.51-63
• /
• 2008

Previous studies for routing In USN (Ubiquitous Sensor Networks) appear to be unreliable due to the dependence on non-spatial data and the lack of map overlay analysis. Multiple spatial parameters and radio propagation modeling techniques were integrated to derive RSSI (Received Signal Strength Indicator) value between route nodes and produce a highly reliable path map. It was possible to identify area-wide patterns of USN route subject to many different Influences (e.g. the specific effects of radio blocking factors such as the visible area, road area, cell duplicated area, and building density), which cannot be acquired by traditional non-spatial modeling. The quantitative evidence concerning the USN route for individual cell as well as entire study area would be utilized as major tools to visualize paths in real-time and to select alternative path when failure or audition of route node occurs.