• 한국정밀공학회지
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• 제17권11호
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• pp.165-175
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• 2000

In recent years, it becomes a very important issue to consider the mechanical systems such as high-speed vehicles and railway trains moving on elastic beam structures. In this paper, a general approach, which can predict the dynamic behavior of constrained mechanical system and elastic beam structure, is proposed. Also, various supporting conditions of a foundation support are considered for the elastic beam structures. The elastic structure is assumed to be a nonuniform and linear Bernoulli-Euler beam with proportional damping effect. Combined Differential-Algebraic Equations of motion are derived using multibody dynamics theory and Finite Element Method. The proposed equations of motion can be solved numerically using generalizd coordinate partitioning method and Predictor-Corrector algorithm, which is an implicit multi-step integration method.

• Natural Product Sciences
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• 제27권4호
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• pp.264-273
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• 2021

Simultaneous quantification of multiple marker compounds in herbal medicine by high performance liquid chromatography (HPLC) analysis is still a challenge due to the complexity in various parameters to be considered and co-existing multi-components. As a case study, a reliable HPLC method for simultaneous quantification of paeoniflorin from Paeoniae Radix and decursin from Angelicae Gigantis Radix in various commercial herbal medicine was developed based on analytical quality by design (AQbD) strategy. As a first step, risk assessment was performed to select the critical method parameters (CMPs) which were decided as organic mobile phase ratio and column oven temperature. In order to evaluate the effect of the CMPs on critical method attributes (CMAs) of peak resolution and tailing, central composite design (CCD) was employed. The final chromatographic conditions were optimized as follows: column- C₁₈, 4.6 × 250 mm, 5 ㎛ particle size; mobile phase- A: acetonitrile, B: 0.1% acetic acid water; detection wavelength- 235 nm for paeoniflorin, 325 nm for decursin; column oven temperature- 25℃; flow rate- 1.0 mL/min; gradient mobile phase system as Time (min) : % A, 0:14, 25:14, 30:50, 60:50, 61:100, 65:100, 66:14, 75:14. The method was successfully validated according to the International Conference on Harmonization (ICH) guidelines and piloted for ten commercial herbal medicines.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2005년도 춘계학술대회 논문집
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• pp.81-85
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• 2005

In this paper, the structural design optimization of a wafer grinding machine using a multi-step optimization with genetic algorithm is presented. The design problem, in this study, is to find out the optimum configuration and dimensions of structural members which minimize the static compliance, the dynamic compliance, and the weight of the machine structure simultaneously under several design constraints. The first design step is shape optimization, in which the best structural configuration is found by getting rid of structural members that have no contributions to the design objectives from the given initial design configuration. The second and third steps are sizing optimization. The second design step gives a set of good design solutions having higher fitness for lightweight and minimum static compliance. Finally the best solution, which has minimum dynamic compliance and weight, is extracted among those good solution set. The proposed design optimization method was successfully applied to the structural design optimization of a high precision wafer grinding machine. After optimization, both static and dynamic compliances are reduced more than $92\%\;and\;93\%$ compared with the initial design, which was designed empirically by experienced engineers. Moreover the weight of the optimized structure are also slightly reduced than before.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2000년도 ITC-CSCC -2
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• pp.885-888
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• 2000

Among the previous searching methods, there are the typical methods such as full search and three-step search, etc. Block motion estimation using exhaustive search is too computationally intensive. To apply in practice, recently proposed fast algorithms have been focused on reducing the computational complexity by limiting the number of searching points. According to the reduction of searching points, the quality performance is aggravated in those algorithms. In this paper, We present a fast and efficient search algorithm for block motion estimation that produces better quality performance and less computational time compared with a three-step search (TSS). Previously the proposed Two Step Search Algorithm (TWSS) by Fang-Hsuan Cheng and San-Nan sun is based on the ideas of dithering pattern for pixel decimation using a part of a block pixels for BMA (Block Matching Algorithm) and multi-candidate to compensate quality performance with several locations. This method has good quality performance at slow moving images, but has bad quality performance at fast moving images. To resolve this problem, the proposed algorithm in this paper considers spatial and temporal correlation using neighbor and previous blocks to improve quality performance. This performance uses neighbor motion vectors and previous motion vectors in addition, thus it needs more searching points. To compensate this weakness, the proposed algorithm uses statistical character of dithering matrix. The proposed algorithm is superior to TWSS in quality performance and has similar computational complexity

• 품질경영학회지
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• 제47권3호
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• pp.497-508
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• 2019

Purpose: The purpose of this study is to overcome limitations of conventional studies that to predict Baltic Dry Index (BDI). The study proposed applications of Artificial Neural Network (ANN) named Long Short-Term Memory (LSTM) to predict BDI. Methods: The BDI time-series prediction was carried out through eight variables related to the dry bulk market. The prediction was conducted in two steps. First, identifying the goodness of fitness for the BDI time-series of specific ANN models and determining the network structures to be used in the next step. While using ANN's generalization capability, the structures determined in the previous steps were used in the empirical prediction step, and the sliding-window method was applied to make a daily (one-day ahead) prediction. Results: At the empirical prediction step, it was possible to predict variable y(BDI time series) at point of time t by 8 variables (related to the dry bulk market) of x at point of time (t-1). LSTM, known to be good at learning over a long period of time, showed the best performance with higher predictive accuracy compared to Multi-Layer Perceptron (MLP) and Recurrent Neural Network (RNN). Conclusion: Applying this study to real business would require long-term predictions by applying more detailed forecasting techniques. I hope that the research can provide a point of reference in the dry bulk market, and furthermore in the decision-making and investment in the future of the shipping business as a whole.

• 대한건축학회논문집:계획계
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• 제34권11호
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• pp.113-123
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• 2018

First of all, the multi-story Housing applying resident's participation in europe was classified by the menu selection method, the two-step supply method and the cooperative method. And then I analyzed flexible unit plan of cases for deriving the planning methode and the characteristics of flexibility. First, I analyzed the area and form of the unit plan, structure and Installation, fixed and variable elements to derive the planning method. The area of units are distributed from a minimum of $35m^2$ to a maximum of $150m^2$, and many of the unit planes have a narrow front and a deep depth. The structure is a long-span wall-structure or a skeleton structure, and is designed without any columns and bearing walls in the interior space for flexibility in spatial composition. The vertical shafts are located in the center of the unit in a box-form or in the corner at the unit dividing wall for free placement of interior wall. Fixed elements are framework and facility systems. Most of the future residents in the two-steps supply method and the cooperative method were able to freely design the internal space within the zoning concept proposed by the architect and change the location of the facade element within module system proposed by the architect. Second, the characteristics of the flexibility applied to the unit plan were divided in integrated flexibility, functional flexibility, construction flexibility, and supply flexibility. The integrated flexibility enables residents to give the variable space combination based on the complex structure of the inner space for providing various living experiences. Regarding functional flexibility, the three-dimensional spatial structure with neutral space has multi-functionality according to the needs of residents and easily accepts mixing of hybrid programs such as work and residence. Constructive flexibility allows residents to create identity by freely planning interior space and changing the size or location of facade components in a determined system of architects. Finally, various types of size and space composition are proposed and realized in the whole building applying menu selection method, so that flexibility in the offer can accommodate and integrate various types of living.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2001년도 The Pacific Aisan Confrence On Intelligent Systems 2001
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• pp.37-44
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• 2001

This paper describes the modeling of work environment for the extraction of abstract operation rules for cooperative work with multiple agent. We propose the modeling method using a potential field. In the method, it is applied to a box pushing problem, which is to move a box from a start to a goal b multiple agent. The agents follow the potential value when they move and work in the work environment. The work environment is represented as the grid space. The potential field is generated by Genetic Algorithm(GA) for each agent. GA explores the positions of a potential peak value in the grid space, and then the potential value stretching in the grid space is spread by a potential diffusion function in each grid. However it is difficult to explore suitable setting using hand coding of the position of peak potential value. Thus, we use an evlolutionary computation way because it is possible to explore the large search space. So we make experiments the environment modeling using the proposed method and verify the performance of the exploration by GA. And we classify some types from acquired the environment model and extract the abstract operation rule, As results, we find out some types of the environment models and operation rules by the observation, and the performance of GA exploration is almost same as the hand coding set because these are nearly same performance on the evaluation of the consumption of agent's energy and the work step from point to the goal point.

• Smart Structures and Systems
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• 제29권1호
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• pp.129-140
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• 2022

The effectiveness of system identification, damage detection, condition assessment and other structural analyses relies heavily on the accuracy and reliability of the measured data in structural health monitoring (SHM) systems. However, data anomalies often occur in SHM systems, leading to inaccurate and untrustworthy analysis results. Therefore, anomalies in the raw data should be detected and cleansed before further analysis. Previous studies on data anomaly detection mainly focused on just single type of data anomaly for denoising or removing outliers, meanwhile, the existing methods of detecting multiple data anomalies are usually time consuming. For these reasons, recognising multiple anomaly patterns for real-time alarm and analysis in field monitoring remains a challenge. Aiming to achieve an efficient and accurate detection for multi-type data anomalies for field SHM, this study proposes a pattern-recognition-based data anomaly detection method that mainly consists of three steps: the feature extraction from the long time-series data samples, the training of a pattern recognition neural network (PRNN) using the features and finally the detection of data anomalies. The feature extraction step remarkably reduces the time cost of the network training, making the detection process very fast. The performance of the proposed method is verified on the basis of the SHM data of two practical long-span bridges. Results indicate that the proposed method recognises multiple data anomalies with very high accuracy and low calculation cost, demonstrating its applicability in field monitoring.

• Journal of Chest Surgery
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• 제41권5호
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• pp.550-562
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• 2008

배경: 조직공학분야에서 이종조직의 세포성분에 대한 면역반응을 없애기 위한 기본적인 과정으로 조직의 탈세포화에 대한 연구가 있어왔다. 본 연구는 기존에 탈세포화에 효과적이었다고 보고되었던 방법들을 변형 혹은 재현해 보고, 이를 통해 치적의 탈세포화를 얻을 수 있는 조건을 찾고자 하였다. 대상 및 방법: 돼지의 대동맥 및 폐동맥판막, 대동맥 및 폐동맥벽, 심낭을 탈세포화 세정제(detergents)에 대한 농도 및 배양시간, 온도조건, 용질에 대한 삼투압 등을 달리하고, 여러 탈세포화용액 및 그 조합을 통해 단일단계 및 여러 단계의 방법으로 배양하여 탈세포화를 시행하였다. 이렇게 탈세포화 실험을 마친 조직은 hematoxylin-eosin (H&E) 염색을 통해 탈세포화의 정도와 세포 외 기질의 보존 정도를 평가하였고, 일부탈세포화된 조직에서는 이종항원면역제거 정도를 파악하는 alpha-Gal 염색과 DAPI 염색을 동시 시행하여 관찰하였다. 결과: Polyethylene glycol이나 peracetic acid를 이용한 방법에서는 탈세포화가 되지 않았다. 단일단계방법으로는 sodium deoxycholate (DOA), sodium dodesyl sulfate (SDS), Triton X-100, SDS와 Triton X-100을 섞은 용액에서, 다단계방법으로는 저장성 완충용액 ${\rightarrow}$ X-100 ${\rightarrow}$ SDS, DOA ${\rightarrow}$ 저장성 완충용액 ${\rightarrow}$ SDS, 저장성 완충용액 ${\rightarrow}$ SDS에서 탈세포화가 이루어 졌다. DOA는 다른 탈세포화 방법에 비해 세포 외 기질의 파괴가 심하였고, 특히 실험온도가 높아질 수록 세포 외 기질의 파괴가 더욱 현저함을 알 수 있었다. 사용되는 화학물질의 종류, 양, 처리시간 및 세포 외 기질의 파괴 정도를 고려하여 지속적으로 재현 가능한 탈세포화에 비교적 적합한 조합 및 조건은 단일단계방법으로 $4^{\circ}C$에서 SDS와 Triton X-100를 섞은 저장성용액에서 24시간 배양하는 방법과, 다단계방법으로 저장성 완충용액과 SDS를 연속적으로 사용하는 방법으로, $4^{\circ}C$에서 $6{\sim}8$시간 이상 저장성 완충용액에 처리한 후, 0.25% SDS가 섞인 저장성 완충용액에 16시간 배양 후 등장성 완충용액에 처리하는 방법이었다. 결론: $4^{\circ}C$에서 SDS 과 Triton X-100을 섞은 저장성 완충용액에서 24시간 배양하는 단일단계방법이나, 저장성완충용과 SDS를 연속적으로 사용하는 다단계 방법을 통해 세포 외 조직을 비교적 잘 보존하면서 적은 수의 탈세포화 용액을 사용하여 효과적인 탈세포화를 얻을 수 있었다.

• 전자공학회논문지SC
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• 제47권4호
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• pp.40-46
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• 2010

본 논문은 혈소판으로부터 측정한 라만 스펙트럼을 알츠하이머병(AD: Alzheimer's Disease) 진단에 사용하는 연구에 관한 것이다. 실험에 사용한 라만 스펙트럼은 다음과 같은 몇 가지 전처리 과정을 거친 다음 분류기를 이용하여 질병의 유무를 판별하였다. 먼저 스펙트럼은 간단한 smoothing을 거친 다음 스펙트럼의 각 피크 크기를 쉽게 측정할 수 있도록 기준선 (baseline)의 왜곡을 차감하였고, 그 다음 기준 피크를 중심으로 그 위치를 정렬한다. 이와 같은 전처리 과정을 수행한 라만 스펙트럼으로부터 AD과 정상상태(NOR: normal)를 구분할 수 있는 특징을 조사하였는데 그 결과 여러 피크들 중 743과 757 $cm^{-1}$ 영역의 피크 비와 1658 $cm^{-1}$ 영역의 피크 크기가 AD와 NOR 스펙트럼에서 가장 변별력 있는 특징을 나타내는 것을 확인하였다. 이 특징들을 MAP(maximum a posteriori)와 MLP(multi-layer perceptron) 분류기에 사용하여 총 278개의 스펙트럼에 적용한 결과 MLP에서 평균 약 95.5%의 분류율을 보였다. 이 결과는 혈소판 라만 스펙트럼이 알츠하이머병 진단에 매우 효과적으로 사용될 수 있음을 보여준다.