• The Korean Journal of Applied Statistics
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• v.16 no.1
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• pp.71-85
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• 2003

In the economic design of the process control procedure, where quality is measured at certain time intervals, its properties are difficult to derive due to the discreteness of the measurement intervals. In this paper a Markov chain representation of the process monitoring procedure is developed and used to derive its properties when the process follows an ARIMA(0,1,1) model, which is designed to describe the effect of the noise and the special cause in the process cycle. The properties of the Markov chain depend on the transition matrix, which is determined by the control procedure and the process distribution. The derived representation of the Markov chain can be adapted to most different types of control procedures and different kinds of process distributions by obtaining the corresponding transition matrix.

• Journal of Digital Convergence
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• v.19 no.7
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• pp.163-174
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• 2021

In order to find the factors that influence behaviors for innovative work performance, this study tried to examine the relationship between organizational justice perceived by SME employees and IT support for differentiation on innovative behavior through knowledge exploitation and exploration. A survey was conducted on employees of SME, and the research hypothesis was verified using SPSS 22.0 and PLS 3.0 by analyzing the final 239 copies. As a result of the study, organizational justice and IT support showed a positive effect on knowledge exploitation and exploration, and knowledge exploitation and exploration had a positive effect on innovation behavior. Through this study, the theoretical foundation for organizational justice to influence knowledge exploitation and main search was established and the theoretical and practical implications for enhancing the competitiveness of the enterprise were presented through a comprehensive analysis of the two variables, organizational justice and IT support, which affect the innovation behavior of SMEs. Future research will require to study the performance part due to innovative behavior using various variables.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.9 no.1
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• pp.1-13
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• 2014

This study examines the relationship between firms' external search strategy and their innovation performance. In addition to revisiting the relationship between open search strategy and product innovation, we further extend the impact of use of external knowledge sources to process and organizational innovation. Using the 2010 Korean Innovation Survey (KIS) of manufacturing firms, we report that on average, venture firms search more widely (external search breadth) and deeply (external search depth) across a variety of external search channels than non-venture firms. We then further explore the impact of venture and non-venture firms' use of external search strategies on innovation performance. We find that both searching widely and deeply increase the likelihood of non-venture firm's successes in product, process and organizational innovation. Similar results can be found for the venture firm's success in organizational innovation. However, only searching deeply increases the likelihood of venture firms' success in product and process innovation.

• KIPS Transactions on Software and Data Engineering
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• v.11 no.11
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• pp.455-464
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• 2022

There are two unique characteristics of the datasets from a manufacturing process. They are the severe class imbalance and lots of Out-of-Distribution samples. Some good strategies such as the oversampling over the minority class, and the down-sampling over the majority class, are well known to handle the class imbalance. In addition, SMOTE has been chosen to address the issue recently. But, Out-of-Distribution samples have been studied just with neural networks. It seems to be hardly shown that Out-of-Distribution detection is applied to the predictive model using conventional machine learning algorithms such as SVM, Random Forest and KNN. It is known that conventional machine learning algorithms are much better than neural networks in prediction performance, because neural networks are vulnerable to over-fitting and requires much bigger dataset than conventional machine learning algorithms does. So, we suggests a new approach to utilize Out-of-Distribution detection based on SVM algorithm. In addition to that, bagging technique will be adopted to improve the precision of the model.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.40 no.4
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• pp.292-299
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• 2012

The line-of-sight(LOS) rate is estimated using Kalman filter in Radio-Frequency(RF) seeker. For the two axis gimbaled seeker, proper system modeling is considered and the basic filter structure is set up. The main issue for Kalman filter is choosing the proper process and measurement noise. For the measurement process, the signal to noise ratio(SNR) and other components are introduced. To cope with the eclipse problem or other abnormal seeker status, the pseudo input signal concept is proposed. By conditioning abnormal signals, the LOS rate estimation performance is increased. The process noise is also an important factor in the propagation phase. The analytical approach on a process noise component is performed and a reliable region for the filter is calculated based on the eigenvalue analysis. Some numerical simulations are performed to check the validity of suggested algorithm.

• Journal of Korea Society of Industrial Information Systems
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• v.14 no.4
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• pp.128-142
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• 2009

Since fairness issue has been found to be important in many different business contexts such as marketing, organizational psychology and management in general. The purpose of this exploratory study was to identify the factor structure of fairness and its effects on customer satisfaction and word-of-mouth. In this survey, we collected data from the respondents who have experienced online shopping from 61 online shopping companies. The data were analyzed by structural equation model using LISREL 8.5. The results indicated that fairness has a four-factor structure, which is composed of distributive, procedural, interpersonal, and informational fairness, which is different from three-factor structure. In addition, perceived justice as a second-order construct were found to have a positive effect on customer satisfaction and word-of-mouth intention. The study suggests that online shopping mall should increase customer satisfaction and positive word-of-mouth by enhancing multiple aspects related to fairness.

• Proceedings of the KIEE Conference
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• 2003.11b
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• pp.219-222
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• 2003

본 논문에서는 주어진 자동화 시스템에 대하여 Critical Path 기법을 적용한 최적화 연구를 수행하였다. 탄약 운반 자동화 시스템에 대하여 공정순서와 시간개념이 들어간 Timed Petri-Net을 이용한 이산사건 공정모델을 구축하였으며, 이를 기초로 초기조건 및 제약조건을 고려하여 제악탐색기법을 이용하여 Critical Path를 찾고 여유 공정을 산출항으로써 공정 시간 최적화를 수행하였다.

• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.306-307
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• 2007

본 논문은 계층적 공정 경쟁 유전자 알고리즘(Hierarchical Fair Competition-based Genetic Algorithms : HFCGA)을 이용하여 회전형 역 진자 시스템의 최적 Fuzzy 제어기 설계를 제안한다. 탐색 공간이 크거나 복잡한 최적해 탐색문제에 대해 조기 수렴 문제를 내제하고 있는 기존의 유전자 알고리즘의 해결방안으로 병렬 유전자 알고리즘이 개발되었으며, HFCGA는 병렬 유전자 알고리즘의 한 구조이다. 본 논문에서는 회전형 역 진자 시스템에 대해 LQR 제어기와 유사한 형태의 Fuzzy 제어기를 구성하고, HFCGA를 이용하여 최적의 제어기 파라미터들을 구한다. 그리고 시뮬레이션 및 실제 공정에 적용하여 LQR 제어기와 설계된 제어기의 성능을 평가한다.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.38 no.5
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• pp.509-517
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• 2001

Full-search algorithm requires large amount of computation which causes time delay or very complex hardware architecture for real time implementation. In this paper, we propose a fast motion estimator based on bit-plane matching, which reduce the computational complexity and the hardware cost. In the proposed motion estimator, the conventional motion estimation algorithms are applied to the binary images directly extracted from the video sequence. Furthermore, in the proposed VLSI motion estimator, we employ a Pair of processing cores that calculate the motion vector continuously By controlling the data flow in a systolic fashion using the internal shift registers in the processing cores, we avoid using SRAM (local memory) so that we remove the time overhead for accessing the local memory and adopt lower-cost fabrication technology. We modeled and tested the proposed motion estimator in VHDL, and then synthesized the whole system which has been integrated in a 0.6-$\mu$m triple-metal CMOS chip of size 8.15 X 10.84$\textrm{mm}^2$.

• The Korean Journal of Applied Statistics
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• v.27 no.4
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• pp.543-552
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• 2014

High bandwidth RF such as Bluetooth, GPRS, EDGE, 3GSM, HSDPA is papular in the mobile phone market. A non-conducting metal coating process requires an e-beam deposition of metal, two steps of UV hard coating primer and top coating; however, it is inefficient. We navigate to the electron beam irradiation conditions(resin surface treatment conditions) in the PC/ABS resin injection process. By analyzing the experimental results, we find the optimum development conditions for the electro deposition pre-treatment process and mass production lines using the plasma generated electron beam source.