• Proceedings of the KAIS Fall Conference
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• 2010.05b
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• pp.1159-1162
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• 2010

연약지반 문제를 해결하기 위한 방안으로 세계 각국에서 연약지반 개량공법의 하나인 연직배수공법이 주로 사용되고 있다. 연직배수공법은 연약한 점성토 지반 내에 인공적으로 연직 배수재을 다수 설치하여 배수거리를 단축시킴으로써 압밀을 촉진시키고, 그에 따른 강도증가 효과를 얻을 수 있는 공법이다. 연직배수재로 경제성과 시공성이 우수한 PBD가 널리 사용되고 있다. PBD 시공품질은 시공 깊이, 압력, 수직도 등에 영향을 받을게 된다. 본 논문에서는 PBD 시공시 배수재의 시공 심도, 압력, 수직도를 자동측정하여 작업자가 실시간으로 모니터링 할 수 있고 시공결과를 자동 저장하는 시스템을 개발하였다. 개발된 시스템은 시공 불량 요인이 발생시 자동 경고하여 불량률을 줄일 수 있고, 장비의 이상 발생시 자동 제어시스템을 가동하여 작업의 안전성을 확보하도록 하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.04a
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• pp.573-576
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• 2009

현재 산업 장비의 가동률 최대화를 위한 다양한 모니터링 시스템에 대한 연구들이 이루어지고 있으며, 특히 해양 수송 산업이 중심인 국내에서는 진동 정보를 활용한 선박 엔진의 고장 감지 시스템에 대한 연구들이 많이 이루어지고 있다. 본 논문에서는 국내에서 아직 관심이 적은 중소형 선박의 엔진에 대한 고장 감지 시스템의 설계 방안 및 인터페이스 설계 방안에 대해서 연구하고, 기본적인 프로그램의 프로토타입을 구현하였다. RS-View를 통해 구현한 인터페이스 간소화와 센서 수의 최소화를 통한 경제성 확보를 달성하여 중소형 선박에 언제든지 탑재 가능한 고장 감지 시스템의 설계를 수행하였다. 향후 선박에 의무 탑재화가 진행될 e-navigation의 일부분으로서 엔진의 상태 모니터링과 고장 감지를 할 수 있는 프로그램으로서 중소형 선박에 탑재되어 적절하게 사용될 수 있을 것으로 사료된다.

• Proceedings of the Korea Information Processing Society Conference
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• 2020.05a
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• pp.405-408
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• 2020

국방분야에서 전력 운영유지를 위한 군수분야 운영 효율화는 매우 중요한 이슈이다. 군수분야의 효율성을 위해 적정한 수리부속 확보는 장비의 가동률과 예산 절감 차원에서 중요성이 크다. 이에 군은 다양한 기법을 활용하여 수리부속 수요예측에 대한 노력을 계속해 왔으나, 여전히 예측 정확도 향상을 위한 지속적인 노력이 요구된다. 이에 본 연구에서는 지난 9개년의 수리부속 수요데이터를 분석하고 다양한 머신러닝을 활용하여 예측정확도를 비교·분석하고, 가장 적합한 수리부속 수요예측 모델을 제안한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.339-342
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• 2023

해군에서 운용하는 각 함정은 여러 가지 무기체계를 동시에 탑재하고 있는, 고가의 복합무기체계이다. 주어진 기간동안 효과적인 정비를 수행함으로써, 가동률을 극대화하는 것이말로 복합무기체계인 함정을 효과적으로 운용하는 방법이며, 경제적인 국방운용이라 부를 수 있을 것이다. 정비인시는 여러 무기체계가 동시에 탑재된 복합무기체계 정비의 핵심이다. 정비인시를 정확하게 알고 있어야만, 제한된 정비기간을 각 무기체계에 정확히 할당할 수 있을 것이며, 최적의 요소에 대한 정비가 수행될 수 있을 것이다. 본 연구에서는 해군에서 운용중인 특정장비에 대한 약 10년간의 정비자료를 이용하여 정비인시를 예측하는 모델을 제안하였다. 모델의 성능은 R2 Score를 통해 0.69의 준수한 수치를 보였다. 이 모델을 통해 조금더 세밀하고, 정확한 정비인시 예측과 정비계획 수립이 가능하리라 판단하였다.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.35 no.2
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• pp.501-514
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• 2015

Earthwork is a basic operation for all forms of civil works and affects construction time, cost and productivity. It is a mechanized operation that needs various construction equipment as a group and uses a lot of fuel for construction equipment. But, the problem is that earthwork operation is usually performed by equipment operator's heuristic and intuition, which can cause low productivity, high fuel consumption, and high carbon dioxide emission. As one of solutions for this problem, the fleet management system for construction equipment is suggested for effective earthwork planning, optimal equipment allocation, efficient machine operation, fast information exchange, and so forth. The purpose of this research is to suggest core methods for developing the equipment fleet management system. The methods include 3D solid parametric model generation, soil distribution using Cctree data structure, equipment fleet construction and equipment fleet operation. A simulation test is performed to verify the effectiveness of the equipment fleet management system in terms of equipment operating ratio, fuel usage, and $CO_2$ emission.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.3
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• pp.234-241
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• 2021

By recognizing the importance of demand forecasting, the military is conducting many studies to improve the prediction accuracy for repair parts. Demand forecasting for repair parts is becoming a very important factor in budgeting and equipment availability. On the other hand, the demand for intermittent repair parts that have not constant sizes and intervals with the time series model currently used in the military is difficult to predict. This paper proposes a method to improve the prediction accuracy for intermittent repair parts of the Patriot. The authors collected intermittent repair parts data by classifying the demand types of 701 repair parts from 2013 to 2019. The temperature and operating time identified as external factors that can affect the failure were selected as input variables. The prediction accuracy was measured using both time series models and data mining models. As a result, the prediction accuracy of the data mining models was higher than that of the time series models, and the multilayer perceptron model showed the best performance.

• Journal of the military operations research society of Korea
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• v.34 no.2
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• pp.163-174
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• 2008

The military is an organization where reliability and availability take much more importance than in any other organization. And, in line with a recent trend of putting emphasis on 'system readiness', not only functions but also availability of a weapon system has become one of achievement targets. In this regard, the military keeps spares for important facility and equipment, which is called as Maintenance Float (M/F), in order to enhance reliability and availability in case of an unforeseen event. The military has calculated yearly M/F requirements based on the number of equipment and utilization rate. However, this method of calculation has failed to meet the intended targets of reliability and availability due to lack of consideration on the characteristics of equipment malfunctions and maintenance unit's capability. In this research, we present an analysis model that can be used to determine an optimal M/F inventory level based on queuing and absorbed Markov chain theories. And, we applied the new analysis model to come out with an optimal volume of K-1 tank M/F for the OO division, which serves as counterattack military unit. In our view, this research is valuable because, while using more tractable methodology compared to previous research, we present a new analysis model that can describe decision making process on M/F level more satisfactorily.

• KIEAE Journal
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• v.14 no.6
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• pp.105-110
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• 2014

The basic factors determining the amount of energy used in hospital buildings are weather conditions and building factors. But the real energy consumer is central plant equipment such as boilers and chillers that produce thermal energy for heating and cooling. Inaccurate decision of the primary equipment's size can cause a high initial-cost, an excessive equipment space, a wasted energy by low operation-efficiency and shortening of the machine's life. In this reason, the decision of optimal size for central plant equipment is very important. There are several factors for the decision such as an operation factor, a factor (equipment factor), piping losses and a simultaneous usage factor applied in the sizing process except a basic cooling load. But there is no standard method for applying those factors. Usually, factors are applied individually by an experience or custom of each engineer. In this study, the authors emphasize the meaning and the problem of those factors, examine them by analyzing factors which were applied to actual practices, and propose the recommendation value of safety, load, operation factors and application methods.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.34 no.10
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• pp.1351-1357
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• 2010

Water monitoring equipments using daphnia can be used to monitor the pollution levels of a country's main rivers. Such equipments should be capable of providing a prompt warning about increase in the contamination levels, which is evaluated on the basis of impulse number or toxicity index. As unmanned remote control equipments, they must provide reliable pollution monitoring results for each season and for the annual physical changes in each river. Two different equipments based on the impulse number and toxicity index showed different results for the operating rates and for the number of emergency checks required even though both were operated at the same conditions. The results are affected by many parameters such as the presence of any air bubbles and the microscopic pressure. The purpose of this study is to develop a method that can reduce the effect of bubbles or microscopic pressure on the monitoring data. We expect to achieve reliable monitoring data for water pollutants irrespective of the location of the equipment setup.

• Tunnel and Underground Space
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• v.15 no.5 s.58
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• pp.378-386
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• 2005

Jook-Ryung roadway tunnel was constructed by drill-blast after pilot tunnelling by 2 TBMS. nis report analyzes the data for TBM performance in the total length of 7.3 km for the two pilot tunnels. Net penetration rates were recorded as high as 2.3 m/h and 2.0 m/h for the two different directions while degrees of operation were $31.4\%$ and $33.3\%$, respectively. The cutter lives for No.2 tunnel were evaluated $200\~280\;m^3/c$ and around 400 m/set as high as for Meraker 10 km tunnel in Norway. The relationship between net penetration rate and characteristics of rock mass which were obtained by RMR and TSP measurement, coincides with the prior studies. This kind of evaluation is expected to be used to design TBM tunnelling and to help to perform the TBM operation effectively