• Title/Summary/Keyword: Kim's model

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An User Model-Based Dialogue System for Database User Interface (데이터베이스 유저 인터페이스를 위한 유저 모델 기반의 대화 시스템)

  • Park, Soo-Jun;Cha, Keon-Hoe;Kim, Young-Ki;Park, Seong-Taek
    • Journal of Digital Convergence
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    • v.5 no.1
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    • pp.69-76
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    • 2007
  • This paper presents a study on the introduction of User Model-Based Dialogue System. Also we present a plan-based Korean dialogue system as a natural language database user interface for product search. The system can be characterized by its support for mixed initiative to give user more control over dialogue, employment of user model to reflect user's preferences, alternative solution suggestion if there is no product matched exactly to user's requirements, handling circumlocution which frequently occurs in dialogues. The user modeling shell system BGP-MS is adapted for the system. The system provides for a user-friendly database user interface by managing dialogue intelligently. By its implementation and test, it has been shown that the user model-based dialogue system can be utilized effectively for product search.

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Small Area Estimation Techniques Based on Logistic Model to Estimate Unemployment Rate

  • Kim, Young-Won;Choi, Hyung-a
    • Communications for Statistical Applications and Methods
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    • v.11 no.3
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    • pp.583-595
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    • 2004
  • For the Korean Economically Active Population Survey(EAPS), we consider the composite estimator based on logistic regression model to estimate the unemployment rate for small areas(Si/Gun). Also, small area estimation technique based on hierarchical generalized linear model is proposed to include the random effect which reflect the characteristic of the small areas. The proposed estimation techniques are applied to real domestic data which is from the Korean EAPS of Choongbuk. The MSE of these estimators are estimated by Jackknife method, and the efficiencies of small area estimators are evaluated by the RRMSE. As a result, the composite estimator based on logistic model is much more efficient than others and it turns out that the composite estimator can produce the reliable estimates under the current EAPS system.

A Predictive Model for Factors Influencing Sexual Satisfaction of Women with Diabetes Mellitus (여성 당뇨환자의 성만족 영향요인 설명모형)

  • Kim, Kyoungnam;Park, Hyoung Sook
    • Journal of Korean Academy of Fundamentals of Nursing
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    • v.20 no.1
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    • pp.6-17
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    • 2013
  • Purpose: The purpose of this study was propose and test a predictive model that could explain and predict factors influencing the sexual satisfaction of women with diabetes mellitus. Method: The conceptual frame for this study was formed as a hypothesized model based on Roy's adaptation model. Participants for this study were 240 out-patient women from P university hospital in Y city. The data were analyzed using SPSS 18.0 and AMOS 19.0 program. Results: The paths that had direct effects on sexual satisfaction, and were statistically significant were showing intimacy with spouse, and sexual function. The explanatory power of these variables for sexual satisfaction was 64%. Conclusion: The results of the study suggest that it is necessary for enhancement of sexual satisfaction for women with diabetes to increase intimacy with husband, and that sexual function, frequency of exercise, adequate glycemic control be maintained, and depression decreased.

Performance Analysis of S-DMT for Cable Modem Upstram Channel (케이블 모뎀 상향 채널을 위한 S-DMT의 성능 비교 분석)

  • Kim, Hyung-Jik;Kim, Seong-Jun;Choi, Hyung-Jin
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.28 no.4B
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    • pp.257-269
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    • 2003
  • S(Synchrous)-DMT(Discrete Multi Tone) is an emerging cable modem technology applicable to the upstream channel for high speed multimedia communication. In this paper we analyze the transmitting and receiving process of S-DMT scheme and derive bit error probability of S-DMT scheme in the $\varepsilon$-mixture impulse noise model which appropriately reflects impulse noise model which approproately reflects impulse noise characteristics of upstream channel. The analysis results show a good match with the simulation results. We also compare Eb/No gain performance of S-DMT with TDMA in 16-, 32-, 64-QAM.

A Study of the Application of Neural Network for the Prediction of Top-bead Height (표면 비드높이 예측을 위한 최적의 신경회로망의 적용에 관한 연구)

  • Son, J.S.;Kim, I.S.;Park, C.E.;Kim, I.J.;Kim, H.H.;Seo, J.H.;Shim, J.Y.
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.16 no.4
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    • pp.87-92
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    • 2007
  • The full automation welding has not yet been achieved partly because the mathematical model for the process parameters of a given welding task is not fully understood and quantified. Several mathematical models to control welding quality, productivity, microstructure and weld properties in arc welding processes have been studied. However, it is not an easy task to apply them to the various practical situations because the relationship between the process parameters and the bead geometry is non-linear and also they are usually dependent on the specific experimental results. Practically, it is difficult, but important to know how to establish a mathematical model that can predict the result of the actual welding process and how to select the optimum welding condition under a certain constraint. In this paper, an attempt has been made to develop an neural network model to predict the weld top-bead height as a function of key process parameters in the welding. and to compare the developed models using three different training algorithms in order to select an adequate neural network model for prediction of top-bead height.

Automated Ulna and Radius Segmentation model based on Deep Learning on DEXA (DEXA에서 딥러닝 기반의 척골 및 요골 자동 분할 모델)

  • Kim, Young Jae;Park, Sung Jin;Kim, Kyung Rae;Kim, Kwang Gi
    • Journal of Korea Multimedia Society
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    • v.21 no.12
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    • pp.1407-1416
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    • 2018
  • The purpose of this study was to train a model for the ulna and radius bone segmentation based on Convolutional Neural Networks and to verify the segmentation model. The data consisted of 840 training data, 210 tuning data, and 200 verification data. The learning model for the ulna and radius bone bwas based on U-Net (19 convolutional and 8 maximum pooling) and trained with 8 batch sizes, 0.0001 learning rate, and 200 epochs. As a result, the average sensitivity of the training data was 0.998, the specificity was 0.972, the accuracy was 0.979, and the Dice's similarity coefficient was 0.968. In the validation data, the average sensitivity was 0.961, specificity was 0.978, accuracy was 0.972, and Dice's similarity coefficient was 0.961. The performance of deep convolutional neural network based models for the segmentation was good for ulna and radius bone.

기술 및 수요속성에 따른 정보통신서비스 확산 패턴

  • Kim, Mun-Su;Kim, Ho
    • Journal of Technology Innovation
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    • v.11 no.2
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    • pp.71-89
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    • 2003
  • Since technological innovation, adoption, and diffusion is a fundamental engine for a company's competitiveness and in turn a nation's industrial development, diffusion of technological innovation has been one of popular research themes to many researchers and scholars for decades. Especially, in today's knowledge-based economy, the IT technology became a fundamental infrastructure for a nation and thus their impact on a nation's economy has grown to be tremendous. This paper investigates the patterns of technological diffusion of 16 telecommunications services. Firstly, we identify the optimal diffusion model which represents the 15 IT innovation best in terms of goodness-of-fit. Secondly, based on the best model identified we cluster the 16 IT innovations according to their diffusion characteristics such as penetration rate and diffusion speed. Lastly, we categorize the innovations in terms of technology (voice-based innovation and data-based innovation) and demand (household-use and business-use) attributes, and compare their diffusion patterns and found some meaningful difference in diffusion patterns. We hope the result helpful to corporate managers as well as policy makers in relevant areas.

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High Temperature Deformation Behavior of Beta-gamma TiAl Alloy (Beta-gamma TiAl 합금의 고온변형거동)

  • Kim, J.S.;Kim, Y.W.;Lee, C.S.
    • Proceedings of the Korean Society for Technology of Plasticity Conference
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    • 2006.05a
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    • pp.429-433
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    • 2006
  • High Temperature deformation behavior of newly developed beta-gamma TiAl alloy was investigated in this study. The optimum processing condition was investigated with the aid of Dynamic Materials Model (DMM). Processing maps representing the efficiency of power dissipation for microstructural evolution and instability were constructed utilizing the results of hot compression test at temperatures ranging from $1000^{\circ}C$ to $1200^{\circ}C$ and strain rate ranging from $10^{-4}/s$ to $10^2/s$. The Artificial Neural Network (ANN) simulation was adopted to consider the deformation heating. With the help of processing map and microstructural analysis, the optimum processing condition was presented and the role of $\beta$ phase was also discussed in this study.

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Development of a Dynamic Simulator for Moving Capability Estimation of Track Vehicle (궤도 차량의 기동성능 예측을 위한 동적 시뮬레이터 개발)

  • Kim, Ch.S.;Chang, Y.H.;Lee, K.S.;Kim, Y.T.;Han, S.H.
    • Proceedings of the KSME Conference
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    • 2000.04a
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    • pp.666-671
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    • 2000
  • In this paper, we developed a Windows 95 version off-line programing system which can simulate a track vehicle model in 3D graphics space. The track vehicle was adopted as an objective model. The interface between users and the off-line program system in the Windows 95's graphic user interface environment was also studied The developing language is Microsoft Visual C++. Graphic libraries, OpenGL, by Silicon Graphics, Inc. were utilized for 3D Graphics.

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QUANTIFICATION OF COW′S BODY PARAMETERS USING COMPUTER VISION

  • Lee, D. W.;Kim, H. T.;Kim, Y. S.
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • 2000.11b
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    • pp.344-353
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    • 2000
  • Recent mechatronics technology is the most appropriate high technology in the agricultural application to save repetitious labor. Cow's body parameters were measured by traditional several measurer. Image processing technology was used to measure automatically their parameters to reduce lots of labor and time. The parameters were measured form a small model cow, which is easily measured, instead to a real cow. The image processing system designed and built for this project was composed of a Pentium PC, and TV frame card two cameras which were located on side and top of model cow. 11 parameters of cow's body were measured and the error between real data and the data by image processing was less than 10%. Based on the results of this research the parameters of a real cow could be measured in the future.

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