• 한국건설관리학회논문집
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• 제6권1호
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• pp.89-98
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• 2005

부가가치 창출의 미흡, 국내 건설시장의 수주여건 악화, 해외 건설시장에서의 경쟁력 상실 등의 문제에 직면한 국내건설업이 건설생산의 효율성 향상을 통해 건설업의 경쟁력을 장기적 관점에서 지속적으로 향상시켜 나가기 위해서는, 경쟁력의 원천이 되는 전략적 요소들을 도출하고 이 요소들에 근거하여 건설산업의 기본 생산단위가 되는 개별 건설프로젝트의 성과를 지속적으로 측정 $\cdot$ 관리하는 것이 필요하다. 건설프로젝트 성과분석에는 각 프로젝트가 처한 상황이 적절히 고려되어 하며, 성과분석자가 개별 프로젝트의 상황을 다양한 관점에서 조견할 수 있어야 한다. 이를 위해 본 연구에서는 균형성과표(BSC)와 데이터 웨어하우스 기술을 활용한 건설프로젝트의 성과분석 시스템을 개발하고자 한다.

• 한국건설관리학회논문집
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• 제9권4호
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• pp.120-130
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• 2008

건설산업의 핵심성과는 프로젝트가 추구하는 목표, 즉, 비용, 시간, 품질, 안전, 환경 등의 기준을 어느 정도 달성했는지로 평가할수 있다. 그러나, 프로젝트 기반산업이라고 할 수 있는 건설산업의 경우, 성과에 대한 명확한 정의체계가 부재하고, 성과측정에 대한 표준화된 절차와 관리 방식이 구축되어 있지 않아서 프로젝트의 성과를 객관적이고 합리적으로 평가하기가 매우 어려운 것이 현실이다. 본 연구에서는 프로젝트 차원의 성과에 대한 정의 및 기준을 설정하고, 각 성과기준 댈 지표 산출 방식을 개발한 후, 이들 지표를 통해 정량적으로 프로젝트의 성과를 산출할 수 있는 방법론을 제안하고자 한다. 제안된 성과측정 방법론에 입각하여, 실제 사례 프로젝트를 수집하고, 이들을 비교 분석해 봄으로써, 향후 건설 프로젝트에 적용가능 한지에 대한 평가를 실시하였다. 이를 통해 특정한 건설 프로젝트는 상호 비교가능한 지표의 형태로 변환될 수 있으며, 개별프로젝트의 성과를 종합적으로 분석하는 것이 가능해진다. 또한, 건설 프로젝트 관련자로 하여금 성과에 입각한 관리를 가능하도록 유도하여 건설 프로젝트의 효율성을 진작시키는데 큰 역할을 담당할 수 있을 것으로 기대한다.

• 문화기술의 융합
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• 제9권4호
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• pp.303-308
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• 2023

본 연구의 목적은 중소기업이 실질적으로 적용할 수 있는 BSC 구축을 위한 실무 가이드를 제공하는 것이며, 이를 위해 사례분석으로 텐트 폴대 제조회사인 J사의 현장요구형 균형성과표(BSC)를 통한 성과평가시스템를 구축하고 경영전략체계도를 제공하고자 하였다. 조사방법으로 1단계 BSC관련 제안요구서 비교를 통해 발주기관의 요구사항을 정리하였으며, 2단계 결과보고서 정리를 통해 BSC 구축방법을 정리하고, 3단계 BSC 4가지 관점별 중소기업 요구형 KPI 지표를 도출하고, 4단계 SWOT 분석을 통한 기업비전을 도출하고, 5단계 현장 요구형 KPI, 가중치 설정, BSC를 통한 전략맵 개발, 6단계 최종 전략체계도 작성하였다. 연구결과 BSC 4가지 관점을 부서별로 재구성하였다. 즉 재원(재무)관점은 임원관점, 고객관점은 영업부관점, 내부프로세스 관점은 설계부·생산품질부 관점, 학습·혁신관점은 관리부관점으로 간주할 수 있었다. 또한 J기업의 요구형 CSF는 총11개, KPI는 총49개 도출하였다. 연구의 한계는 해당 기업의 BSC를 통한 최종 전략체계도 까지만 진행되었으며, 향후 회사의 보상제도와 연계할 필요가 있다.

• 한국병원경영학회지
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• 제22권1호
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• pp.40-50
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• 2017

The purpose of this study is to develop the KPIs(Key Performance Indices) needed to improve management and strategy in the dental clinic based on the four perspectives of BSC(Balanced Scorecard). The questionnaire was conducted on 52 dentists approved by Dental Managment Research Committee in Seoul National University as a panel. Using the Delphi technique, the top five KPIs for each point of perspective in BSC were extracted from KPI pools. In the third survey, the top five KPIs of all points were compared with each other through AHP(Analytic Hierarchy Process) method, and priority and overall importance rankings were calculated. The biggest difference in the three level AHP results was the customer perspective took priority to others. In the second survey, the financial perspective, which was number one, was pushed back. The overall significance of KPIs was in the order of customer, internal process, finance, learning and growth perspective, with the exception of medical profits (5th of 20) and new patient growth (10th of 20). We were able to overcome the limitations of the Delphi Technique with the AHP method. In general, the financial perspective in BSC is known to be the most important, but we conclude that the customer perspective is more important through the pairwise comparison survey. In the current dental service market, which is a long-term recession, excessive competition, customer satisfaction and customer relationship management seem to be the first goal to pursue in dental clinic.

• Journal of Power Electronics
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• 제16권3호
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• pp.1110-1121
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• 2016

The mathematical model of a three phase PWM converter under the stationary αβ reference frame is deduced and constructed based on a Proportional-Resonant (PR) regulator, which can replace trigonometric function calculation, Park transformation, real-time detection of a Phase Locked Loop and feed-forward decoupling with the proposed accurate calculation of the inductance voltage vector. To avoid the parallel resonance of the LCL topology, the active damping method of the proportional capacitor-current feedback is employed. As to current vector error elimination, an optimized PR controller of the inner current loop is proposed with the zero-pole matching (ZPM) and cancellation method to configure the regulator. The impacts on system's characteristics and stability margin caused by the PR controller and control parameter variations in the inner-current loop are analyzed, and the correlations among active damping feedback coefficient, sampling and transport delay, and system robustness have been established. An equivalent model of the inner current loop is studied via the pole-zero locus along with the pole placement method and frequency response characteristics. Then, the parameter values of the control system are chosen according to their decisive roles and performance indicators. Finally, simulation and experimental results obtained while adopting the proposed method illustrated its feasibility and effectiveness, and the inner current loop achieved zero static error tracking with a good dynamic response and steady-state performance.

• Smart Structures and Systems
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• 제30권6호
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• pp.601-612
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• 2022

The prediction of structural mechanical behaviors is vital important to early perceive the abnormal conditions and avoid the occurrence of disasters. Especially for underground engineering, complex geological conditions make the structure more prone to disasters. Aiming at solving the problems existing in previous studies, such as incomplete consideration factors and can only predict the continuous performance, the deep attention fused temporal convolution network (DATCN) is proposed in this paper to predict the spatial mechanical behaviors of structure, which integrates both the temporal effect and spatial effect and realize the cross-time prediction. The temporal convolution network (TCN) and self-attention mechanism are employed to learn the temporal correlation of each monitoring point and the spatial correlation among different points, respectively. Then, the predicted result obtained from DATCN is compared with that obtained from some classical baselines, including SVR, LR, MLP, and RNNs. Also, the parameters involved in DATCN are discussed to optimize the prediction ability. The prediction result demonstrates that the proposed DATCN model outperforms the state-of-the-art baselines. The prediction accuracy of DATCN model after 24 hours reaches 90 percent. Also, the performance in last 14 hours plays a domain role to predict the short-term behaviors of the structure. As a study case, the proposed model is applied in an underwater shield tunnel to predict the stress variation of concrete segments in space.

• 경영정보학연구
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• 제9권1호
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• pp.259-282
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• 2007

본 연구는 조달청의 종합성과관리시스템에 대한 사례를 제시하는 것이다. 조달청은 최초 구축한 성과관리시스템의 개선 및 보완 작업을 통해 2006년 초에 BSC 시스템을 구축하였으며, 그 결과 미션과 비전과 전략과제로부터 도출된 CSF와 KPI의 활용을 통해 부서와 개인에 대한 성과측정과 평가를 자동적으로 연계할 수 있게 되었다. 이는 공무원도 기업처럼 성과에 따른 보상을 함으로써 더욱 향상된 고객서비스를 제공하고, 평가 결과를 통하여 인사, 보수 등에 있어서 인센티브와 디스인센티브를 적절히 활용하여 경쟁과 성과보상의 조직으로 확고한 자리를 잡고자 하는 데 기여하였다. 또한BSC 구축은 부서중심의 개인평가체계의 강화, 다양한 평가체계에 대한 통합구성 및 실적주기별 목표관리에 의한 달성률 모니터링 체계의 구축을 가능하게 하였다. 이와 같은 조달청에 대한 사례 제시는 향후 다른 공공조직의 BSC 구축에 대한 방향을 제시할 것이며, 성과관리시스템 구축 방안과 성공요인에 시사점을 줄 수 있을 것으로 기대된다.

• Wind and Structures
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• 제30권6호
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• pp.663-678
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• 2020

Robust semi-active vibration control of wind turbines using tuned mass dampers (TMDs) is a promising technique. This study investigates a 1.5 megawatt wind turbine controlled by eight different types of tuned mass damper systems of equal mass: a passive TMD, a semi-active varying-spring TMD, a semi-active varying-damper TMD, a semi-active varying-damper-and-spring TMD, as well as these four damper systems paired with an additional smaller passive TMD near the mid-point of the tower. The mechanism and controllers for each of these TMD systems are explained, such as employing magnetorheological dampers for the varying-damper TMD cases. The turbine is modelled as a lumped-mass 3D finite element model. The uncontrolled and controlled turbines are subjected to loading and operational cases including service wind loads on operational turbines, seismic loading with service wind on operational turbines, and high-intensity storm wind loads on parked turbines. The displacement and acceleration responses of the tower at the first and second mode shape maxima were used as the performance indicators. Ultimately, it was found that while all the semi-active TMD systems outperformed the passive systems, it was the semi-active varying-damper-and-spring system that was found to be the most effective overall - capable of controlling vibrations about as effectively with only half the mass as a passive TMD. It was also shown that by reducing the mass of the TMD and adding a second smaller TMD below, the vibrations near the mid-point could be greatly reduced at the cost of slightly increased vibrations at the tower top.

• 국제학술발표논문집
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• The 8th International Conference on Construction Engineering and Project Management
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• pp.463-481
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• 2020

Cutter suction dredgers (CSDs) are widely used in various dredging constructions such as channel excavation, wharf construction, and reef construction. During a CSD construction, the main operation is to control the swing speed of cutter to keep the slurry concentration in a proper range. However, the slurry concentration cannot be monitored in real-time, i.e., there is a "time-lag effect" in the log of slurry concentration, making it difficult for operators to make the optimal decision on controlling. Concerning this issue, a solution scheme that using real-time monitored indicators to predict current slurry concentration is proposed in this research. The characteristics of the CSD monitoring data are first studied, and a set of preprocessing methods are presented. Then we put forward the concept of "index class" to select the important indices. Finally, an ensemble learning algorithm is set up to fit the relationship between the slurry concentration and the indices of the index classes. In the experiment, log data over seven days of a practical dredging construction is collected. For comparison, the Deep Neural Network (DNN), Long Short Time Memory (LSTM), Support Vector Machine (SVM), Random Forest (RF), Gradient Boosting Decision Tree (GBDT), and the Bayesian Ridge algorithm are tried. The results show that our method has the best performance with an R² of 0.886 and a mean square error (MSE) of 5.538. This research provides an effective way for real-time predicting the slurry concentration of CSDs and can help to improve the stationarity and production efficiency of dredging construction.

• Nuclear Engineering and Technology
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• 제56권9호
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• pp.3740-3749
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• 2024

To reduce the losses caused by aging failure of insulation gate bipolar transistor (IGBT), which is the core components of nuclear power plant rod position indicating and rod control (RPC) system. It is necessary to conduct studies on its life prediction. The selection of IGBT failure characteristic parameters in existing research relies heavily on failure principles and expert experience. Moreover, the analysis and learning of time-domain degradation data have not been fully conducted, resulting in low prediction efficiency as the monotonicity, time correlation, and poor anti-interference ability of extracted degradation features. This paper utilizes the advantages of the stacked denoising autoencoder(SDAE) network in adaptive feature extraction and denoising capabilities to perform adaptive feature extraction on IGBT time-domain degradation data; establishes a long-short-term memory (LSTM) prediction model, and optimizes the learning rate, number of nodes in the hidden layer, and number of hidden layers using the Gray Wolf Optimization (GWO) algorithm; conducts verification experiments on the IGBT accelerated aging dataset provided by NASA PCoE Research Center, and selects performance evaluation indicators to compare and analyze the prediction results of the SDAE-LSTM model, PSOLSTM model, and BP model. The results show that the SDAE-LSTM model can achieve more accurate and stable IGBT life prediction.