• 한국시뮬레이션학회논문지
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• 제28권4호
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• pp.33-43
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• 2019

Link-16은 미 해군 및 공군, NATO에 합동 상호운용성을 제공하는 데이터링크로 국내 무기체계에서도 운용되고 있다. 현재 Link-16 운용을 위한 시험환경, 전술모의훈련 및 상호운용성 검증 시험은 해외 SW 및 도구를 통해 전적으로 의존하고 있다. 따라서 Link-16 기반의 운용환경시험 도구의 개발이 필요하다. 본 논문에서는 Link-16 해외도구 기능 분석을 통해 Link-16 네트워크 운용성능분석 시뮬레이터를 개발하였다. 또한 연동을 위한 SIMPLE 표준 인터페이스를 구현하였다. Link-16 네트워크 운용성능분석을 위한 기능모델은 사전분석, 실시간 운용분석, 사후분석 기능모델로 구성된다. 각 기능모델에 대한 시험은 해외 SW 및 도구와 SIMPLE 연동을 통해서 수행하였다. Link-16 네트워크 운용성능분석 시뮬레이터를 통해 해외 SW를 대체하게 된다면 우리 군에 맞는 전술훈련 및 네트워크 운용성능분석, 운용(시나리오)검증을 수행할 수 있을 것이다.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2011년도 춘계학술대회 논문집
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• pp.1695-1700
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• 2011

In this paper, we introduce the network infrastructure in an advanced emu test line in Deabul. New technology has been applied to advanced EMU(DMU, integrated broadcasting system, black box and etc). In order to efficient and safely test of new developed train, failure, operation, status of test line and weather information should be monitored in real time. We has implemented a wireless and optical network infrastructure for reliability and scalability. The wireless communication capability between a car and ground is 20Mbps and back-hole network has 50Mbps of the communication performance. The network between test tracks and control office was established in the optical network. That can improve communication reliability.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권7호
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• pp.2800-2814
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• 2020

5G network optimization problem is a challenging optimization problem in the practical engineering applications. In this paper, to tackle this issue, Pareto fronts-driven Multi-Objective Cuckoo Search (PMOCS) is proposed based on Cuckoo Search. Firstly, the original global search manner is upgraded to a new form, which is aimed to strengthening the convergence. Then, the original local search manner is modified to highlight the diversity. To test the overall performance of PMOCS, PMOCS is test on three test suits against several classical comparison methods. Experimental results demonstrate that PMOCS exhibits outstanding performance. Further experiments on the 5G network optimization problem indicates that PMOCS is promising compared with other methods.

• Journal of Information Processing Systems
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• 제8권1호
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• pp.1-20
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• 2012

The most important criterion for achieving the maximum performance in a wireless mesh network (WMN) is to limit the interference within the network. For this purpose, especially in a multi-radio network, the best option is to use non-overlapping channels among different radios within the same interference range. Previous works that have considered non-overlapping channels in IEEE 802.11a as the basis for performance optimization, have considered the link quality across all channels to be uniform. In this paper, we present a measurement-based study of link quality across all channels in an IEEE 802.11a-based indoor WMN test bed. Our results show that the generalized assumption of uniform performance across all channels does not hold good in practice for an indoor environment and signal quality depends on the geometry around the mesh routers.

• 한국공작기계학회논문집
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• 제15권6호
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• pp.82-87
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• 2006

Availability of defect test algorithm that recognizes exact and standardized defect information in order to fundamentally resolve generated defects in industrial sites by giving artificial intelligence to SAT(Scanning Acoustic Tomograph), which previously depended on operator's decision, to find various defect information in a semiconductor package, to decide defect pattern, to reduce personal errors and then to standardize the test process was verified. In order to apply the algorithm to the lately emerging Neural Network theory, various weights were used to derive results for performance advancement plans of the defect test algorithm that promises excellent field applicability.

• 유통과학연구
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• 제15권6호
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• pp.13-24
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• 2017

Purpose - The current study aims to examine the effect of social network factors on travel agency employees' occupational outcomes such as job performance and job satisfaction through innovation behavior in a comprehensive model. Research design, data, and methodology - Based on a theory of social network, the concept of social network was assessed by three factors: a) network size, b) network range, and c) tie strength. To test the proposed hypotheses, structural equation modeling (SEM) was employed based on data from 197 travel agency employees in Korea. Result - The results showed that the associational activity of network size had a positive effect on innovation behavior, while the network range of network size had a significant negative effect on innovation behavior. Subsequently, innovation behavior positively influenced on job performance and job satisfaction, respectively. Conclusions - The results offer some insights into the extended model and have important managerial implications for Korean travel agencies. More specifically, considering diverse domains of social network and organizational research, this study advances critical utility of social network factors in a high facilitating level of innovation behavior, which can help travel agency employees promote their job performance and job satisfaction.

• 한국통신학회논문지
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• 제31권10B호
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• pp.857-865
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• 2006

NGN(Next Generation Network)이 약속하는 다양한 기능과 서비스가 제공될 수 있는가를 시험하고 평가하기 위해 평가방법이 필요하며 시험 대상 장치의 구성, 성능평가대상, 시험에 필요한 트래픽의 특성 등에 대한 개발이 요구되고 있다. 그간 IP패킷 성능평가방법으로 시뮬레이션(simulation)방법과 분석적 모델링(analytical modeling)방법 등 많은 연구가 수행되어 왔지만 아직까지 미흡한 실정이다. 본 논문은 NGN 통신망에 대하여 실제 운용환경과 유사한 조건을 만족시키고, 객관적이고 신뢰성 있는 성능 평가 방법을 도출하여 제시하였다. 이를 위해 시험용 트래픽(Test Traffic)과 백그라운드 트래픽(Background Traffic)을 개발하였고, IP 통신망과 동일한 장비로 구축된 시험망을 구성하여 NGN 서비스 특성을 고려한 대역폭, 패킷사이즈별로 성능평가를 수행하였다. 제안된 평가방법을 통해, 지연(Delay), 지연변이(Jitter) 손실(Loss)등의 성능평가결과를 기존의 평가방법의 결과와 비교하였을 때 제안된 평가방법이 단대단NGN 통신망의 성능평가방법으로 우수함을 입증하였다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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• pp.779-782
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• 1997

In this paper, accurate position control of a stenciling robot manipulator is designed. The stenciling robot is requried to draw lines and characters on the pavement. Since the robot is huge and heavy, the inertia is expected to play a major role in the tracking performance as desired. Here we are proposing neural network control scheme for a computed-torque like controller for the stenciling robot. On-line compensation is achieved by neural network. Simulation studies with stenciling robot are carried out to test the performance of the proposed control scheme.

• 유통과학연구
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• 제22권3호
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• pp.105-112
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• 2024

Purpose: This study analyzed the relationship between corporate capacity and management performance in the Korean distribution industry during the COVID-19 pandemic. Research design, data and methodology: The data for this study used the 2021 KOTRA GCL Test Data, and multiple regression analysis was performed using SPSS 26. As corporate competency, human capital and related capital of intellectual capital theory were utilized, and the global network level of social network theory was also utilized. As an additional analysis, corporate characteristics factors were used. Results: First, the level of global mindset of human capital acted as a positive factor in management performance, and the level of professional manpower did not achieve significant results. Second, related capital acted as a positive factor in corporate performance. Third, from the perspective of social network theory, the global network level of companies acted as a positive factor in management performance. Finally, the relationship between corporate characteristics and management performance was marginally significant. Conclusions: In order to improve the business performance of a company in a market shock such as the COVID-19 pandemic, it is required to strengthen the level of network construction with customers and increase the level of intellectual capital that a company has.

• 대한조선학회논문집
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• 제59권4호
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• pp.243-250
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• 2022

In the design stage of hull forms, a fast prediction method of resistance performance is needed. In these days, large test matrix of candidate hull forms is tested using Computational Fluid Dynamics (CFD) in order to choose the best hull form before the model test. This process requires large computing times and resources. If there is a fast and reliable prediction method for hull form performance, it can be used as the first filter before applying CFD. In this paper, we suggest the offset-based performance prediction method. The hull form geometry information is applied in the form of 2D offset (non-dimensionalized by breadth and draft), and it is studied using Convolutional Neural Network (CNN) and adapted to the model test results (Residual Resistance Coefficient; C_R). Some additional variables which are not included in the offset data such as main dimensions are merged with the offset data in the process. The present model shows better performance comparing with the simple regression models.