• 한국통신학회논문지
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• 제38C권2호
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• pp.155-164
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• 2013

종래 측위 기법들의 큰 추정 오차, 고비용, 제한된 서비스 범위 등의 문제점들을 극복하기 위해, 가시광 통신과 애드혹 무선 네트워크 인프라를 사용하여 정확하고 편리한 두 가지 하이브리드 측위 설계 기법들을 제안한다. 한가지 방법은 저속의 광 센싱, 좁은 범위의 가시광 수신, 장거리 측위 등의 서비스를 위한 비캐리어 가시광 통신기반의 하이브리드 측위 기법이며, 또 다른 방식은 고속 광 센싱, 넓은 범위의 가시광 수신, 중거리 측위 등의 서비스를 위한 4 MHz 캐리어를 사용하는 가시광 통신 기반의 하이브리드 측위 기법이다. 이 논문에서는 장애물이 있는 실내 환경에서 목표물과 관측자사이 7731.4cm 장거리와 2368cm 중거리 범위일 때, 각각 두 가지 기법으로 하이브리드 측위 시스템들이 구현되어 측위가 수행되고, 제안 시스템이 검증과 분석된다.

• 한국시뮬레이션학회논문지
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• 제27권3호
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• pp.1-11
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• 2018

이산 사건 시스템 명세 (DEVS)를 이용한 하이브리드 시스템 시뮬레이션은 IoT 기반 Smart factory의 최적 동작을 위한 파라미터 추출 등 멀티 레벨 모델 계층을 포함한 복잡계 시스템의 해석에서 중요한 도구로 사용되고 있다. 하이브리드 시스템은 연속 시간 시스템과 이산 사건 시스템의 특성을 모두 포함하고 있어 그 복잡성으로 인해 결과를 얻기 위해 많은 시간을 필요로 한다. 본 연구에서는 멀티 코어와 GPU가 결합된 이기종 컴퓨터 구조를 이용한 DEVS 기반 대규모 하이브리드 시스템 시뮬레이션의 가속화를 제안한다. 제안하는 멀티 코어-GPU 상호 결합 시뮬레이션 실행 플랫폼을 사용하여 상대적으로 많은 순간 전력을 소모하지만 실행 시간 측면에서 빠른 시뮬레이션이 오히려 전체 에너지 소모 측면에서 장점을 가지는 것을 보여주고자 한다. 이를 위해 대규모 모델의 수평적/수직적 상호 결합된 DEVS 기반 하이브리드 시스템을 시뮬레이션 하였고 효과적인 시뮬레이션을 위한 하드웨어의 조합, 동작 파라미터 변경에 따른 성능 향상을 전력 소모 관점에서 분석하였다.

• 대한수학회지
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• 제52권3호
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• pp.469-487
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• 2015

We consider a model of HIV infection with various compartments, including target cells, infected cells, viral loads and immune effector cells, to describe HIV type 1 infection. We show that the proposed model has one uninfected steady state and several infected steady states and investigate their local stability by using a Jacobian matrix method. We obtain equations for adjoint variables and characterize an optimal control by applying Pontryagin's Maximum Principle in a linear control problem. In addition, we apply techniques and ideas from linear optimal control theory in conjunction with a direct search approach to derive on-off HIV therapy strategies. The results of numerical simulations indicate that hybrid on-off therapy protocols can move the model system to a "healthy" steady state in which the immune response is dominant in controlling HIV after the discontinuation of the therapy.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2011년도 전력전자학술대회
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• pp.318-319
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• 2011

Many countries are concentrating on the development of electric vehicle technology with increasing concerns about the global environment. Along with these concerns, plug-in hybrid electric vehicles(PHEVs) are being developed as environment-friendly cars which reduce greenhouse gas emissions and also eliminate the problem of range anxiety associated to all-electric vehicles, because the combustion engine works as a backup when the batteries are depleted. In this paper, electric equipments of the PHEV which meet the target specifications were developed, and their performance was proven through confirmatory testing on the PHEV at Korea Automotive Technology Institute(KATECH).

• 한국통신학회논문지
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• 제34권5A호
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• pp.421-428
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• 2009

Inter-cell coordination has been an emerging issue for mitigating inter-cell interference in broadband wireless access networks such as IEEE802.16 and 3GPP LTE (Long Term Evolution). This paper proposes uplink/downlink hybrid inter-cell coordination patterns for a TDD (Time Division Duplex)/MC-CDMA (Multi-Carrier Code Division Multiple Access) system. For the performance analysis, closed forms of inter-cell interferences are derived when uplink and downlink transmissions coexist over a multi-cell environment. In the analysis, we find an optimal ratio of downlink transmit powers of BSs (Base Stations) based on the target outage probability and the performance according to ratios of uplink/downlink transmit powers of MSs (Mobile Stations)/BSs is explored. Our numerical results show that interference mitigation utilizing the characteristics of the uplink and downlink power ratio is very effective in improving system performance in terms of QoS.

• 한국IT서비스학회:학술대회논문집
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• 한국IT서비스학회 2007년도 추계학술대회
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• pp.145-156
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• 2007

In the previous e-government studies, there was no study in which the ambitious problem of assessing the expected performance of an e-government software when it is adopted in other country. This study was motivated to propose a new method to resolve this research question. With using the KIPONet (Korean Intellectual Property Office Net) as a target e-government software, which has been successfully implemented and operated by the Republic of Korea government since Jan 1999 for the purpose of managing the intellectual property rights (IPRs), we propose a Hybrid Qualitative Reasoning (HQR) approach to predicting the expected performance of the KIPONet. The main recipes of the HQR are that the HQR considers causal relationships existing among both qualitative and quantitative variables of the KIPONet, and that uncertainties embedded in some variables are handled by using Monte Carlo mechanism. The application of the proposed HQR to predicting the expected performance of the KIPONet results in statistically significant outcomes with 95% confidence level.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2006년도 추계 학술발표회 논문집
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• pp.745-748
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• 2006

This study investigates the fundamental properties and examines spalling appearances and residual compressive strength of high strength concrete containing hybrid organic fibers subjected to fire. Test showed that overall, an increase of fiber content decreased the fluidity of concrete, but specimens containing polyvinyl alcoho(PVA)+polypropylene(PP) fiber and nylon(NY)+PP fiber had improved flow. In addition, the air content of all specimens was properly ranged in target value, regardless of fiber content. As for the spalling properties when completed the fire test, control concrete exhibited spalling occurrence due to sudden elevated temperature. However, specimens containing more than 0.1 vol% of PP fiber prevented the spalling, while specimens containing PP+CL and PVA+PP fiber can protected from fire in more than 0.15vol% of the fiber content. Importantly, a specimen containing only 0.05vol% of NY+PP showed the favorable spalling resistance performance.

• 디지털산업정보학회논문지
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• 제15권3호
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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 Positioning, Navigation, and Timing
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• 제12권1호
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• pp.67-73
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• 2023

As interest in underwater structures and ocean exploration increases, many researchers are proposing methods for modeling and controlling various remotely operated vehicles (ROVs). Recently, hybrid systems composed of an autonomous underwater vehicle and an ROV capable of remote control and autonomous navigation are being developed. In this study we introduce a method that models Ariari-aROV, an ROV consisting of five thrusters, and performs navigation. The proposed ROV can be controlled manually and by autonomous navigation when given a target point. An extended Kalman filter is utilized for sensor measurement correction for more precise navigation. The proposed method is verified through a simulation.

• ETRI Journal
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• 제45권3호
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• pp.433-447
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• 2023

Critical issues such as connection congestion, long transmission delay, and packet loss become even worse during epidemic, disaster, and so on. In this study, a link load balancing method is proposed to address these issues on the data plane, a plane of the software-defined network (SDN) architecture. These problems are NP-complete, so a meta-heuristic approach, discrete particle swarm optimization, is used with a novel hybrid cost function. The superiority of the proposed method over existing methods in the literature is that it provides link and switch load balancing simultaneously. The goal is to choose a path that minimizes the connection load between the source and destination in multipath SDNs. Furthermore, the proposed work is dynamic, so selected paths are regularly updated. Simulation results prove that with the proposed method, streams reach the target with minimum time, no loss, low power consumption, and low memory usage.