• 전기학회논문지
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• 제61권6호
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• pp.797-803
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• 2012

In this paper, for minimizing the real-time operating load losses of the power transformer, a SCADA optimum operating system was developed, and the economic analyses on the test operation were performed. Transformer loss DB which reflects the economic integration operation criteria was constructed by referring the transformer manufacturer's loss data(iron loss, copper loss). Based on the loss DB, each substation transformer real-time loss was calculated according to the size of the transformer loads, and if integration or separation transformer operating conditions minimizing the loss are met, then a window pops-up and the dispatcher performs the substation equipments operation according to the procedure provided by this system. With the existing SCADA main program, the relation database of the substation facilities and integration/separation operation algorithm were developed and applied to Auto MTR Processor and pconn Processor Task module. Seven stations test data for seven months were analyzed for the economic analyses, and the results showed that Cost-Benefit ratio was 2.64, and IRR(Internal Rate of Return), 36%, which asserted the economic justification of the proposed system.

• Nuclear Engineering and Technology
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• 제49권4호
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• pp.700-709
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• 2017

This work looks at the effect of changes in kinetic parameters on simultaneous reactivity insertions and beam tube flooding in a typical material testing reactor-type research reactor with low enriched high density ($U_3Si_2-Al$) fuel. Using a modified PARET code, various ramp reactivity insertions (from $0.1/0.5 s to $1.3/0.5 s) plus beam tube flooding ($0.5/0.25 s) accidents under uncontrolled conditions were analyzed to find their effects on peak power, net reactivity, and temperature. Then, the effects of changes in kinetic parameters including the Doppler coefficient, prompt neutron lifetime, and delayed neutron fractions on simultaneous reactivity insertion and beam tube flooding accidents were analyzed. Results show that the power peak values are significantly sensitive to the Doppler coefficient of the system in coupled accidents. The material testing reactor-type system under such a coupled accident is not very sensitive to changes in the prompt neutron life time; the core under such a coupled transient is not very sensitive to changes in the effective delayed neutron fraction.

• 조명전기설비학회논문지
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• 제25권10호
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• pp.59-66
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• 2011

In electric power system, the circuit breaker is not operated when the higher voltage then the rated TRV(transient Recovery Voltage) appeared in the circuit breaking, The TRV of a circuit breaker means the characteristics of reignition by the arc between two poles. and is decided by the value of connecting Impedance. In this paper we of carried out many kinds of experiments varying the types of bus, the types of installation, the length of installation between 22.9 [kV] level circuit breaker and MTR in general 154/22.9[kV] system, We also simulated the characteristics of TRV using EMTP-RV program. The suitability of TRV in assessed by Uc, RRRV(Rate of Rise of Recovery Voltage) which are defined by the international guide, IEC62271-100. The values of RRRV gained from the cable-made bus are 590[%] lesser than those from the NSPB-made bus respectively. So the triangled type is more rational in the aspect of TRV.

• 대한인간공학회지
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• 제16권1호
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• pp.107-117
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• 1997

It is necessary to evaluate HMI inaspects of human factors in the design stage of MMIS(man machine interface system) and feedback the result of evaluation because operators performance is mainly influenced by the HMI. Therefore, the MMIS design should be reflected the operators psychological, behavioral and physiological characteristics in the interaction with human machine interface(HMI) in order to improve the safety and availability of the MMIS of a nuclear power plant(NPP) by reduction of human error. The development of human factors experimental evaluation techniques and integrated test facility(ITF) for the human factors evaluation become an important research field to resolve hi,am factors issues on the design of an advanced control room(ACR). We developed am ITF, which is aimed to experiment with the design of the ACR and the human machine interaction as it relates to the control of NPP. This paper presents the development of an ITF that consists of three rooms such as main test room(MTR), supporting test room(STR) and experiment control room(ECR). And, the ITF has a various facilities such as a human machine simulator(HMS), experimental measurement systems and data analysis and experiment evaluation supporting system(DAEXESS). The HMS consists of full-scope simulation model of Korean standard NPP and advanced HMI based on visual display nits (VDUS) such as touch color CRT, large scale display panel(LSDP), flat panel display unit and so on.

• 융합신호처리학회논문지
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• 제11권2호
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• pp.137-142
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• 2010

다 모델 음성인식기는 잡음환경에서 매우 우수한 성능을 보이는 것으로 평가되고 있다. 그러나 지금까지 다 모델 기반인식기의 성능시험에는 잡음에 대한 적응을 고려하지 않은 일반적인 전처리 방식이 주로 활용하였다. 본 논문에서는 보다 정확한 다 모델 기반인식기에 대한 성능 평가를 위해서 잡음에 대한 강인성이 충분히 고려된 전처리 방식을 채택하였다. 채택된 전처리 알고리듬은 ETSI (European Telecommunications Standards Institute)에서 DSR (Distributed Speech Recognition) 잡음환경을 위해서 제안된 AFE (Advanced Front-End) 방식이며 성능비교를 위해서 DSR 환경에서 좋은 성능을 나타낸 것으로 알려진 MTR (Multi-Style Training)을 사용하였다. 또한, 본 논문에서는 다 모델 기반인식기의 구조를 개선하여 인식성능의 향상을 이루고자 하였다. 기존의 방식과 달리 잡음음성과 가장 가까운 N개의 기준 HMM을 사용하여 기준 HMM의 선택시에 발생할 수 있는 오류 및 잡음신호의 변이에 대한 대비를 하도록 하였으며 각각의 기준 HMM을 훈련을 위해서 다수의 SNR 값을 이용함으로서 구축된 음향모델의 강인성을 높일 수 있도록 하였다. Aurora 2 데이터베이스에 대한 인식실험결과 개선된 다 모델기반인식기는 기존의 방식에 비해서 보다 향상된 인식성능을 보임을 알 수 있었다.

• 한국환경농학회지
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• 제40권3호
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• pp.194-202
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• 2021

BACKGROUND: Towards achievement of sustainable agriculture, using microbial inoculants may present promising alternatives without adverse environmental effects; however, there are challenging issues that should be addressed in terms of effectiveness and ecology. Viability and stability of the bacterial inoculants would be one of the major issues in effectiveness of microbial pesticide uses, and the changes within the indigenous microbial communities by the inoculants would be an important factor influencing soil ecology. Here we investigated the stability of the introduced bacterial strains in the soils planted with barley and its effect on the diversity shifts of the rhizosphere soil bacteria. METHODS AND RESULTS: Two different types of bacterial strains of Bacillus thuringiensis and Shewanella oneidensis MR-1 were inoculated to the soils planted with barley. To monitor the stability of the inoculated bacterial strains, genes specific to the strains (XRE and mtrA) were quantified by qPCR. In addition, bacterial community analyses were performed using v3-v4 regions of 16S rRNA gene sequences from the barley rhizosphere soils, which were analyzed using Illumina MiSeq system and Mothur. Alpha- and beta-diversity analyses indicated that the inoculated rhizosphere soils were grouped apart from the uninoculated soil, and plant growth also may have affected the soil bacterial diversity. CONCLUSION: Regardless of the survival of the introduced non-native microbes, non-indigenous bacteria may influence the soil microbial community and diversity.

• 국제학술발표논문집
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• The 3th International Conference on Construction Engineering and Project Management
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• pp.869-875
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• 2009

Safety is a big issue in the construction sites. For safe and secure management, tracking locations of construction resources such as labors, materials, machineries, vehicles and so on is important. The materials, machineries and vehicles could be controlled by computer, whereas the movement of labors does not have fixed pattern. So, the location and movement of labors need to be monitored continuously for safety. In general, Global Positioning System(GPS) is an opt solution to obtain the location information in outside environments. But it cannot be used for indoor locations as it requires a clear Line-Of-Sight(LOS) to satellites Therefore, indoor location monitoring system could be a convenient alternative for environments such as tunnel and indoor building construction sites. This paper presents a case study to investigate feasibility of Wi-Fi based indoor location monitoring system in construction site. The system is developed by using fingerprint map of gathering Received Signal Strength Indication(RSSI) from each Access Point(AP). The signal information is gathered by Radio Frequency Identification (RFID) tags, which are attached on a helmet of labors to track their locations, and is sent to server computer. Experiments were conducted in a shield tunnel construction site at Guangzhou, China. This study consists of three phases as follows: First, we have a tracking test in entrance area of tunnel construction site. This experiment was performed to find the effective geometry of APs installation. The geometry of APs installation was changed for finding effective locations, and the experiment was performed using one and more tags. Second, APs were separated into two groups, and they were connected with LAN cable in tunnel construction site. The purpose of this experiment was to check the validity of group separating strategy. One group was installed around the entrance and the other one was installed inside the tunnel. Finally, we installed the system inner area of tunnel, boring machine area, and checked the performance with varying conditions (the presence of obstacles such as train, worker, and so on). Accuracy of this study was calculated from the data, which was collected at some known points. Experimental results showed that WiFi-based indoor location system has a level of accuracy of a few meters in tunnel construction site. From the results, it is inferred that the location tracking system can track the approximate location of labors in the construction site. It is able to alert the labors when they are closer to dangerous zones like poisonous region or cave-in..

• 한국통신학회논문지
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• 제21권2호
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• pp.541-551
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• 1996

본 연구에서는 인공 신경 회로망을 이용하여 LCD 변수들의 값을 동적으로 변화시킴으로써 보다 개선된 전압 적정유지율을 얻을 수 있는 실시간 ULTC 제어전략이 개발된다. 제안된 전략에서는 수전전압의 변화에 따른 주변압기 송출전압 변화를 인식하는 ANNs, 그리고 ANNs로부터의 전압레벨과 배전선로들의 시간대별 변화패턴을 인식하여, ULTC의 정정치를 동적으로 결정하는 ANNg를 도입함으로서 보다 개선된 전압보상능력을 얻을 수 있도록 하였다. 개발된 제어전략의 성능을 평가하기 위해서 8개의 피더로 구성되는 시험 배전계통에 대해서 부하가 불규칙적으로 변화하였을때, 그리고 부하가 일정한 시간대별 패턴으로 변화하였을때의 ULTC의 전압 보상 전략이 모의된다. 인공 신경회로망은 Fortran 언어로 구현되며 시험계통에 대한 성능평가에서 유용한 결과를 입증하였다.

• 지능정보연구
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• 제25권2호
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• pp.25-38
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• 2019

정보화 시대의 넘쳐나는 콘텐츠들 속에서 사용자의 관심과 요구에 맞는 양질의 정보를 선별해내는 과정은 세대를 거듭할수록 더욱 중요해지고 있다. 정보의 홍수 속에서 사용자의 정보 요구를 단순한 문자열로 인식하지 않고, 의미적으로 파악하여 검색결과에 사용자 의도를 더 정확하게 반영하고자 하는 노력이 이루어지고 있다. 구글이나 마이크로소프트와 같은 대형 IT 기업들도 시멘틱 기술을 기반으로 사용자에게 만족도와 편의성을 제공하는 검색엔진 및 지식기반기술의 개발에 집중하고 있다. 특히 금융 분야는 끊임없이 방대한 새로운 정보가 발생하며 초기의 정보일수록 큰 가치를 지녀 텍스트 데이터 분석과 관련된 연구의 효용성과 발전 가능성이 기대되는 분야 중 하나이다. 따라서, 본 연구는 주식 관련 정보검색의 시멘틱 성능을 향상시키기 위해 주식 개별종목을 대상으로 뉴럴 텐서 네트워크를 활용한 지식 개체명 추출과 이에 대한 성능평가를 시도하고자 한다. 뉴럴 텐서 네트워크 관련 기존 주요 연구들이 추론을 통해 지식 개체명들 사이의 관계 탐색을 주로 목표로 하였다면, 본 연구는 주식 개별종목과 관련이 있는 지식 개체명 자체의 추출을 주목적으로 한다. 기존 관련 연구의 문제점들을 해결하고 모형의 실효성과 현실성을 높이기 위한 다양한 데이터 처리 방법이 모형설계 과정에서 적용되며, 객관적인 성능 평가를 위한 실증 분석 결과와 분석 내용을 제시한다. 2017년 5월 30일부터 2018년 5월 21일 사이에 발생한 전문가 리포트를 대상으로 실증 분석을 진행한 결과, 제시된 모형을 통해 추출된 개체명들은 개별종목이 이름을 약 69% 정확도로 예측하였다. 이러한 결과는 본 연구에서 제시하는 모형의 활용 가능성을 보여주고 있으며, 후속 연구와 모형 개선을 통한 성과의 제고가 가능하다는 것을 의미한다. 마지막으로 종목명 예측 테스트를 통해 본 연구에서 제시한 학습 방법이 새로운 텍스트 정보를 의미적으로 접근하여 관련주식 종목과 매칭시키는 목적으로 사용될 수 있는 가능성을 확인하였다.