• Proceedings of the KIPE Conference
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• 2017.07a
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• pp.453-454
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• 2017

본 논문에서는 환경 시험 중 한가지 방법인 진동 시험(Vibration test) 프로파일을 적용하여 고출력 리튬이온18650 셀(cell)에 물리적인 진동을 가하고 진동 시험 전 후 고출력 리튬이온 18650 셀의 전기적 특성 기반 내부 파라미터를 추출하였다. 통계적 기법인 상관 관계 및 대응 표본 t 검정을 적용하여 내부 파라미터인 방전 용량(discharged capacity), 방전 저항(discharged resistance), OCV(open circuit voltage) 간의 관계 및 변화를 비교 분석하였다.

• The Korean Journal of Applied Statistics
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• v.3 no.2
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• pp.91-105
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• 1990

Several practical prior distributions are derived using the maximum entropy principle. Also, an interactive method for estimating a prior distribution which uses the minimum cross-entropy principle is proposed when there are many prior informations. The consistency of the prior distributions obtained by the entropy principles is discussed.

• Journal of Korea Society of Digital Industry and Information Management
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• v.15 no.3
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• pp.197-206
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• 2019

Telemarketing has been used in finance due to the reduction of offline channels. In order to select telemarketing target customers, various machine learning techniques have emerged to maximize the effect of minimum cost. However, there are problems that the class imbalance, which the number of marketing success customers is smaller than the number of failed customers, and the recall rate is lower than accuracy. In this paper, we propose a method that solve the imbalanced class problem and increase the recall rate to improve the efficiency. The hybrid sampling method is applied to balance the data in the class, and the stacked deep network is applied to improve the recall and precision as well as the accuracy. The proposed method is applied to actual bank telemarketing data. As a result of the comparison experiment, the accuracy, the recall, and the precision is improved higher than that of the conventional methods.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.37 no.1
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• pp.16-26
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• 2000

The proposed method inserts a watermark information not mto a whole Image region but only into regions of interest(ROIs) To extract the ROIs, we divide an original Image into sub-blocks and use modified Shi-Kuo Chang's PIM(picture information measure) as the criteria to select the ROIs Considering the directional information and frequency bands, we insert the watermark information into sub-blocks m the DCT domain. The proposed method can reduce the distortion in comparison With the other methods which utilize the whole Image as an nor The proposed method makes much less damaged Images m comparison to the other methods And those Images processed by the proposed algorithm are more robust to the changes caused by signal processing operations such as resampling, clipping. noise, and so on Also due to the block-based watermark insertion, the proposed method has the robustness to the Image compression processes such as JPEG and MPEG.

• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.5
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• pp.624-630
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• 2010

As electrocardiogram(ECG) signals are generally sampled with a frequency of over 200Hz, a method to compress diagnostic information without losing data is required to store and transmit them efficiently. In this paper, an ECG signal compression method, which uses feature points based on curvature, is proposed. The feature points of P, Q, R, S, T waves, which are critical components of the ECG signal, have large curvature values compared to other vertexes. Thus, these vertexes are extracted with the proposed method, which uses local extremum of curvatures. Furthermore, in order to minimize reconstruction errors of the ECG signal, extra vertexes are added according to the iterative vertex selection method. Through the experimental results on the ECG signals from MIT-BIH Arrhythmia database, it is concluded that the vertexes selected by the proposed method preserve all feature points of the ECG signals. In addition, they are more efficient than the AZTEC(Amplitude Zone Time Epoch Coding) method.

• Journal of Cadastre & Land InformatiX
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• v.46 no.1
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• pp.87-100
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• 2016

The acquisition of the forest resource information has depended on a partial sampling method or aerial photographs which demand a lot of effort and time because of the vast areas and the difficult approach. For the acquisition of the forest resource information, there have been the optical remote-sensing and the multi-spectrum image to offer only horizontal distributions of trees, but a new technological approach, such as Airborne LiDAR, is more necessary to acquire directly three dimensional information related to the forest terrains and trees' features. This paper proposes an algorithm for the forest information extraction such as trees' individual numbers and the heights of trees by using LiDAR data. Especially, this proposed algorithm adopts a region growing method for the extraction of the vegetation-point and extracts the forest information using morphological features of trees.

• Journal of Applied Biological Chemistry
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• v.61 no.1
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• pp.1-8
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• 2018

The objective of this study was to compare the antihyperlipidemic effects of different Dendropanax morbifera leaf extracts in vitro. The extracts differed in terms of specimen age, harvesting season, and extraction method. RAW 264.7 cells were pretreated with these extracts and stimulated by oxidized low-density lipoprotein. Ethanol was used to induce toxicity in HepG2 cells. Cellular lipid accumulation was quantified using oil red O staining in both these cells. The extracts were evaluated for their inhibitory effects on 3-hydroxy-3-methylglutaryl coenzyme A (HMG-CoA) reductase. RAW 264.7 cells treated with the 60% ethanol extract of an 8-year-old specimen harvested in November exhibited the lowest lipid accumulation. The 30% ethanol extract of a 5-year-old specimen harvested in May exhibited the greatest protection from ethanol-induced cytotoxicity in HepG2 cells. The hot water extract of an 8-year-old specimen harvested in May showed the greatest inhibition of HMG-CoA reductase. These results showed that D. morbifera extracts prepared from leaves that are harvested in May possess the highest antihyperlipidemic effects.

• The Korean Journal of Applied Statistics
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• v.16 no.2
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• pp.407-426
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• 2003

We consider the missing covariates problem in generalized estimating equations(GEE) model. If the covariate is partially missing, GEE can not be calculated. In this paper, we study the performance of 7 imputation methods to handle missing covariates in GEE models, and the properties of GEE estimators are investigated after missing covariates are imputed for ordinal data of repeated measurements. The 7 imputation methods include i) Naive Deletion ii) Sample Average Imputation iii) Row Average Imputation iv) Cross-wave Regression Imputation v) Carry-over Imputation vi) Bayesian Bootstrap vii) Approximate Bayesian Bootstrap. A Monte-Carlo simulation is used to compare the performance of these methods. For the missing mechanism generating the missing data, we assume ignorable nonresponse. Furthermore, we generate missing covariates with or without considering wave nonresp onse patterns.

• 한국HCI학회:학술대회논문집
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• 2008.02a
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• pp.439-444
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• 2008

The techniques, which locate example motions in abstract parameter space and interpolate them to generate new motion with given parameters, are widely used in real-time animation system for its controllability and efficiency However, as the dimension of parameter space increases for more complex control, the number of example motions for parameterization increases exponentially. This paper proposes a method that uses two different parameter spaces to obtain decoupled control over upper-body and lower-body motion. At each frame time, each parameterized motion space produces a source frame, which satisfies the constraints involving the corresponding body part. Then, the target frame is synthesized by splicing the upper body of one source frame onto the lower body of the other. To generate corresponding source frames to each other, we present a novel scheme for time-warping. This decoupled parameterization alleviates the problems caused by dimensional complexity of the parameter space and provides users with layered control over the character. However, when the examples are parameterized based on their upper body's spatial properties, the parameters of the examples are varied individually with every change of its lower body. To handle this, we provide an approximation technique to change the positions of the examples rapidly in the parameter space.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.12
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• pp.772-779
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• 2019

This study identified the relationship between leisure attitudes, leisure promotion, leisure drugs, leisure satisfaction, and the intention to rejoin maritime sports by the participants of this study. The researchers selected 542 adult men and women who live in Seoul and the Incheon, Gyeonggi and Chungcheong provinces, and who were currently engaged in marine sports activities. Data processing was performed using SPSS 21.0 and AMOS 18.0 for the frequency analysis, reliability analysis, confirmatory factor analysis, correlation analysis and structural equation model analysis. The results of this study were as follows. First, the leisure attitudes of marine sports participants did not affect the promotion of leisure (p>.05). Second, the attitude towards leisure of the marine sports participants had a negative effect on using leisure pharmaceuticals (p<.05). Third, the leisure attitudes of marine sports participants affected their leisure satisfaction (p<.05). Fourth, the promotion of leisure activities of the marine sports participants did not affect their leisure satisfaction (p>.05). Fifth, the leisure restrictions of marine sports participants did not affect their leisure satisfaction (p>.05). Sixth, the leisure activities of marine sports participants affected the intention of rejoining (p<.05).