• Journal of KIISE:Computing Practices and Letters
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• v.15 no.6
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• pp.435-439
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• 2009

Software used in safety-critical system must have high dependability. Software testing and V&V (Verification and Validation) activities are very important for assuring high software quality. If we can predict the risky modules of safety-critical software, we can focus testing activities and regulation activities more efficiently such as resource distribution. In this paper, we classified the estimated risk class which can be used for deep testing and V&V. We predicted the risk class for each module using support vector machines. We can consider that the modules classified to risk class 5 and 4 are more risky than others relatively. For all classification error rates, we expect that the results can be useful and practical for software testing, V&V, and activities for regulatory reviews.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.9
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• pp.5726-5737
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• 2014

The increasing importance of software has highlighted the need for the proper application of software ILS. On the other hand, the development of ILS has been somewhat limited to the area of hardware development. Therefore, this study examined the potential difficulties in applying software ILS to practical uses, and analyzed the drawbacks by reporting several domestic or foreign regulation cases. In addition, the differences between hardware and software ILS were examined by considering their characteristics of maintenance. Eventually, by establishing the proper range, this study proposes a development plan that is suitable for domestic weapon systems. The proposed research is expected to be helpful for offering specific plans for designing software ILS.

• Journal of the Korea Society of Computer and Information
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• v.28 no.12
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• pp.9-22
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• 2023

In this paper, we propose a balanced approach to AI regulation, focused on harnessing the potential benefits of artificial intelligence while upholding fairness and ethical responsibility. With the increasing integration of AI systems into daily life, it is essential to develop regulations that prevent harmful biases and the unfair disadvantage of certain demographics. Our approach involves analyzing regulatory frameworks and case studies in AI applications to ensure responsible development and application. We aim to contribute to ongoing discussions around AI regulation, helping to establish policies that balance innovation with fairness, thereby driving economic progress and societal advancement in the age of artificial intelligence.

• Journal of Distribution Science
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• v.17 no.8
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• pp.107-118
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• 2019

Purpose - The present study examines the effect of service employees' experienced customer incivility through their emotional exhaustion. We identified service employees' emotion regulation ability as a boundary condition (i.e., moderating variable) that decreased the positive relationship between service employees' experienced customer incivility and their emotional exhaustion. Furthermore, we also investigated the negative relationship between service employees' experienced customer incivility and their service performance via emotional exhaustion. Research design, data, and methodology - Drawing on AET (affective event theory) and COR (conservation of resources) theory, we developed three research hypotheses (i.e., mediation, moderation, and moderated mediation). Online panel survey data from 552 frontline employees at several service organizations (e.g., department stores, retail stores, hotels, restaurants, airlines, banking, insurance company, and etc) in South Korea were examined. To assess two types of validity (i.e., convergent and discriminant validity) and reliability of measurement model, we employed the CFA (confirmatory factor analysis) using M-plus 8.2 software. Internal consistency also was tested by Cronbach' α. In addition, we employed the SPSS PROCESS MACRO 2.16, which was recommended by Hayes (2013, 2015), to estimate mediation, moderation, and moderated mediation effects. Results - As predicted, the negative relationship between service employees' experienced customer incivility and their service performance was mediated by emotional exhaustion. Furthermore, service employees' emotion regulation ability also played a significant moderating role of the relationship between service employees' experienced customer incivility and emotional exhaustion, such that this relationship was less pronounced when service employees had a high level of their emotion regulation ability than when thir emotion regulation ability was low. Service employees' emotion regulation ability further moderated this mediation effect of service employees' experienced customer incivility on service performance through emotional exhaustion. These findings have theoretical implications for employees' experienced customer incivility and emotion regulation ability research and provide managerial implications for practitioners. Conclusions - This study empirically elaborated the previous model of service employees' experienced customer incivility and personal resource (e.g., emotion regulation ability) literature by presenting the findings that service employees' experienced customer incivility influences their service performance via emotional exhaustion and that emotion regulation ability effectively reduces this negative effect.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.178.1-178
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• 2001

The ATO(Automatic Train Operation) System is used for train operation instead of dreivers. It is interfaced with TCMS(Train Control and Monitoring System) and ATC/TWC system in the train and wayside facilities. In this paper describes configuration of ATO, Specification of ATO hardware, construction of ATO software and the algorithm for automatic train speed regulation in the carborn ATO system. This paper is mainly concerned with the development of the ATO System. The ATO system is used for automatic or driverless operation of a train using various informations from TCMS, ATC, TWC. In this paper, the general architecture of the ATO system, implementation of ATO application software and the algorithm using servo-controller for automatic train speed controller.

• Proceedings of the KSME Conference
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• 2000.11b
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• pp.656-661
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• 2000

In the recent trend of electric power supply market, a variable pressure operation supercritical once-through steam generator is highlighted as a thermal power plant for cycling load because of its superiority in load regulation. Almost all thermal power plants of the future are expected to be variable pressure operation supercritical once-through units. APESS(Advanced Plant Engineering & Simulation System) is a dynamic simulation software for power plant which is under being developed by Korea Heavy Industries & Construction Co., Ltd. This paper present the introduction of APESS and the result of simulation for variable pressure operation supercritical once-through steam generator.

• Proceedings of the IEEK Conference
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• 2002.07c
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• pp.1428-1431
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• 2002

It is general opinion that the future mobile multimedia networks will use different standards and a prospective solution to this problem will be software defined radio (SDR) techniques. SDR provides the flexibility to support multiple air interfaces and signal processing functions at the same time. Especially, digital signal processors and FPGAs are widely used for implementation of these adaptive and flexible functions of a baseband modem for SDR applications. Also, it is known that the modulation schemes of OCQPSK (Orthogonal Complex QPSK) and HPSK (Hybrid PSK) are used for IMT-2000 services of cdma2000 and WCDMA, respectively. Thus, in this paper, we design and implement an OCQPSK / HPSK modem using a DSP chip of Texas Instrument's TMS320C6701. One modulation scheme is operated by adaptive selection between the two schemes and 5 physical traffic channels differentiated by orthogonal codes are implemented in one DSP chip and each channel has 1Mbps data rates and 8Mcps chip rates.

• Proceedings of the IEEK Conference
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• 2001.06e
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• pp.195-198
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• 2001

We developed the portable blood analysis system, which can be measured pH of the blood. This system is composed to electronic circuit, mechanism, and system software. Electronic circuit is composed to the sensor, pre-amp part, temperature regulation part, fluid sensing part, A/D(analog to digital) conversion part, main and peripheral device processing part. And the mechanism is composed to the flow cell and the liquid flow part. The liquid flow part is consisted of blood and washing control system under the control of the 6-channel solenoid valve and syringe rump. The system software is composed to measurement program, calibration program, washing and diagnostic program. The program of each routine is designed as sequential process for an efficiency. And the portable pH analysis system used two-point calibration method using the two types of corrective liquid. As a result, we obtained the calibration curve and calculated the value of pH. For verifying the system, we confirmed the output voltage of the sensor, and estimated reappearance of system using the standard liquid.

• Progress in Superconductivity and Cryogenics
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• v.16 no.2
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• pp.47-53
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• 2014

In this paper, the general electromagnetic design process of a 10-MW-class high-temperature superconducting (HTS) synchronous generator that is intended to be utilized for large scale offshore wind generator is discussed. This paper presents three-dimensional (3D) electromagnetic design proposal and electrical characteristic analysis results of a 10-MW-class HTS synchronous generator for wind power. For more detailed design by reducing the errors of a two-dimensional (2D) design owing to leakage flux in air-gap, we redesign and analyze the 2D conceptual electromagnetic design model of the HTS synchronous generator using 3D finite element analysis (FEA) software. Then electrical characteristics which include the no-load and full-load voltage of generator, harmonic contents of these two load conditions, voltage regulation and losses of generator are analyzed by commercial 3D FEA software.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.05a
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• pp.504-507
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• 2019

모바일 광고 기술(AD Tech)분야에서 기계학습은 사용자별 CTR(Click Through Ratio) 예측[1]에 국한되어 왔으며 2016 년도부터 시행된 GDPR(General Data Protection Regulation)[2] 정책으로 인하여 AD Tech 관련 사업자의 사용자 개인정보 접근이 제한되어왔다. 그 결과 Feature Data 에 기반한 사용자 타겟팅 및 Ad Tech 산업에서 기계 학습 기술을 적용하는데 현실적 어려움을 가져왔다. 본 논문에서는 기존 연구와 현실적 한계를 극복하기 위하여 사용자가 아닌 매체별 클릭 분포를 예측하는 Hawkes Process 에 기반한 생성모델을 제안하고 그 가능성을 살펴본다.