• Title/Summary/Keyword: two-phase approach

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An object-based preference-driven scheduling language and techniques for improving its perforance (객체에 근거한 선호도 제약 중심 스케줄링 언어와 성능향상 기법)

  • 이기철;문정모;송성헌
    • Korean Management Science Review
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    • v.12 no.2
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    • pp.43-62
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    • 1995
  • For a complex scheduling system like time table construction, its optimal solution, if exists, is hard to obtain. In this paper, the scheduling environment is reasonably confined as where objects have their own events competing for better slots on boards, and objects have their own board slot preferences and belong to one or more classes of the society which globally constrains them. Here, two phase method is suggested, where the first phase is human-like preference driven and the second phase is for fine tuning by considering all the factors given. Designed and implemented in our system HI-SCHED are dynamic object switching, temporal-constraint-driven intelligent backtracking, case-based revisions, object-based approach, and so on. Some satisfaction degrees are also defined to measure the usefulness of our method. In addition, look-ahead dynamic object switching is considered, and additional global constraints are introduced and processed. A simple scheme is also used to verify the usefulness of the post processing scheme.

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Automatic Generation of Machining Parameters of Electric Discharge Wire-Cut Using 2-Step Neuro-Estimation (와이어 가공 조건 자동 생성 2 단계 신경망 추정)

  • 이건범;주상윤;왕지남
    • Journal of the Korean Society for Precision Engineering
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    • v.15 no.2
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    • pp.7-13
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    • 1998
  • This paper presents a methodology for determining machining conditions in Electric Discharge Wire-Cut. Unification of two phase neural network approach with an automatic generation of machining parameters is designed. The first phase neural network, which is 1 to M backward-mapping neural net, produces approximate machining conditions. Using approximate conditions, all possible conditions are newly created by the proposed automatic generation procedure. The second phase neural net, which is a M to 1 forward-mapping neural net, determines the best one among the generated candidates. Simulation results with ANN are given to verify that the presenting methodology could apply for determining machining parameters in Electric Discharge Wire-Cut.

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A Dependability Modeling of Software Under Memory Faults for Digital System in Nuclear Power Plants

  • Park, Jong-Gyun;Seong, Poong-Hyun
    • Nuclear Engineering and Technology
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    • v.29 no.6
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    • pp.433-443
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    • 1997
  • In this work, an analytic approach to the dependability of software in the operational phase is suggested with special attention to the hardware fault effects on the software behavior : The hardware faults considered are memory faults and the dependability measure in question is the reliability. The model is based on the simple reliability theory and the graph theory which represents the software with graph composed of nodes and arcs. Through proper transformation, the graph can be reduced to a simple two-node graph and the software reliability is derived from this graph. Using this model, we predict the reliability of an application software in the digital system (ILS) in the nuclear power plant and show the sensitivity of the software reliability to the major physical parameters which affect the software failure in the normal operation phase. We also found that the effects of the hardware faults on the software failure should be considered for predicting the software dependability accurately in operation phase, especially for the software which is executed frequently. This modeling method is particularly attractive for the medium size programs such as the microprocessor-based nuclear safety logic program.

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Induction Motors Performance Study under Various Voltage Sags Using Simulation

  • Ojaghi, Mansour;Faiz, Jawad;Shahrouzi, Hamid;Alimohammadi, Sahar
    • Journal of international Conference on Electrical Machines and Systems
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    • v.1 no.3
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    • pp.295-302
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    • 2012
  • The main aim of this paper is to study effects of different voltage sags and their intensity on the behavior of induction motors using a simulation approach. For this purpose, necessary simulation was done in Matlab - Simulink first. Then, to ensure-reasonable accuracy of the simulation, some results of the simulation were compared with the corresponding results measured in the laboratory. Then effects of intensity of symmetric voltage sag (three phase) and its starting point on the behavior of small and large induction motors was studied using simulation and subsequently, the effects of asymmetric voltage sags (single phase and two phase) has also been studied and finally the conclusion of the study was presented.

A Database Approach for Modeling and Querying XML Documents

  • Panseop Shin;Kim, Jeong-Eun;Lee, Jaeho;Haechull Lim
    • Proceedings of the IEEK Conference
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    • 2000.07b
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    • pp.703-706
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    • 2000
  • In recent years. XML applications are being developed in diverse area. Especially, development of XML document repository system associated with database is carrying out widely. The previous researches of XML repository system have several defects which are update and retrieval limitations for the XML document, design limitation for a formal retrieval algorithm and data redundancy. In order to solve the above problems. in this paper, we suggest relational database schemes for overcoming limitations of updating, retrieving, and rebuilding document. And suggest query translation strategy using two-phase translation that consists of pattern analyzing phase and SQL generating phase.

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Generation of Coherent Sub-Terahertz Carrier with Phase Stabilization for Wireless Communications

  • Yoshimizu, Yasuyuki;Hisatake, Shintaro;Kuwano, Shigeru;Terada, Jun;Yoshimoto, Naoto;Nagatsuma, Tadao
    • Journal of Communications and Networks
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    • v.15 no.6
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    • pp.569-575
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    • 2013
  • In this paper, we present a photonic approach for generating highly stable coherent sub-terahertz (THz) signals for wireless communications. As proof-of-concept we transmit data at 100 GHz carrier frequency using on-off keying modulation and heterodyne detection. The sub-THz carrier signals are generated by photo-mixing two optical carrier signals at different frequencies, extracted from an optical frequency comb. We introduce a novel system to stabilize the phase of the optical carrier signals. Error-free transmission is successfully achieved up to a bit rate of 8.5 Gbit/s at 100 GHz.

Determining minimum non-connected concrete panel thickness and concrete type impact on seismic behavior of CSPSW

  • Mehdi Ebadi-Jamkhaneh
    • Structural Engineering and Mechanics
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    • v.91 no.6
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    • pp.607-626
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    • 2024
  • This study explores the use of advanced concrete types to improve the performance of composite steel shear walls (CSPSWs), particularly in delaying cracking and failure. A two-phase approach is implemented. Phase I utilizes non-linear finite element analysis and Gene Expression Programming to develop a novel method for determining the minimum concrete thickness required in CSPSWs. Phase II investigates the effect of concrete type, opening area, and location on the behavior of CSPSWs with openings. The results demonstrate that ultra-high performance concrete (UHPFRC) significantly reduces out-of-plane displacement and tensile cracking compared to normal concrete. Additionally, the study reveals a strong correlation between opening position and load-bearing capacity, with position L3 exhibiting the greatest reduction as opening size increases. Finally, UHPFRC's superior energy dissipation translatesto a higher equivalent viscous damping coefficient.

Modeling and Direct Power Control Method of Vienna Rectifiers Using the Sliding Mode Control Approach

  • Ma, Hui;Xie, Yunxiang;Sun, Biaoguang;Mo, Lingjun
    • Journal of Power Electronics
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    • v.15 no.1
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    • pp.190-201
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    • 2015
  • This paper uses the switching function approach to present a simple state model of the Vienna-type rectifier. The approach introduces the relationship between the DC-link neutral point voltage and the AC side phase currents. A novel direct power control (DPC) strategy, which is based on the sliding mode control (SMC) for Vienna I rectifiers, is developed using the proposed power model in the stationary ${\alpha}-{\beta}$ reference frames. The SMC-based DPC methodology directly regulates instantaneous active and reactive powers without transforming to a synchronous rotating coordinate reference frame or a tracking phase angle of grid voltage. Moreover, the required rectifier control voltages are directly calculated by utilizing the non-linear SMC scheme. Theoretically, active and reactive power flows are controlled without ripple or cross coupling. Furthermore, the fixed-switching frequency is obtained by employing the simplified space vector modulation (SVM). SVM solves the complicated designing problem of the AC harmonic filter. The simplified SVM is based on the simplification of the space vector diagram of a three-level converter into that of a two-level converter. The dwelling time calculation and switching sequence selection are easily implemented like those in the conventional two-level rectifier. Replacing the current control loops with power control loops simplifies the system design and enhances the transient performance. The simulation models in MATLAB/Simulink and the digital signal processor-controlled 1.5 kW Vienna-type rectifier are used to verify the fast responses and robustness of the proposed control scheme.

Generative AI-based Exterior Building Design Visualization Approach in the Early Design Stage - Leveraging Architects' Style-trained Models - (생성형 AI 기반 초기설계단계 외관디자인 시각화 접근방안 - 건축가 스타일 추가학습 모델 활용을 바탕으로 -)

  • Yoo, Youngjin;Lee, Jin-Kook
    • Journal of KIBIM
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    • v.14 no.2
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    • pp.13-24
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    • 2024
  • This research suggests a novel visualization approach utilizing Generative AI to render photorealistic architectural alternatives images in the early design phase. Photorealistic rendering intuitively describes alternatives and facilitates clear communication between stakeholders. Nevertheless, the conventional rendering process, utilizing 3D modelling and rendering engines, demands sophisticate model and processing time. In this context, the paper suggests a rendering approach employing the text-to-image method aimed at generating a broader range of intuitive and relevant reference images. Additionally, it employs an Text-to-Image method focused on producing a diverse array of alternatives reflecting architects' styles when visualizing the exteriors of residential buildings from the mass model images. To achieve this, fine-tuning for architects' styles was conducted using the Low-Rank Adaptation (LoRA) method. This approach, supported by fine-tuned models, allows not only single style-applied alternatives, but also the fusion of two or more styles to generate new alternatives. Using the proposed approach, we generated more than 15,000 meaningful images, with each image taking only about 5 seconds to produce. This demonstrates that the Generative AI-based visualization approach significantly reduces the labour and time required in conventional visualization processes, holding significant potential for transforming abstract ideas into tangible images, even in the early stages of design.

Multiple UAVs Nonlinear Guidance Laws for Stationary Target Observation with Waypoint Incidence Angle Constraint

  • Kim, Mingu;Kim, Youdan
    • International Journal of Aeronautical and Space Sciences
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    • v.14 no.1
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    • pp.67-74
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    • 2013
  • Nonlinear guidance law combined with a pseudo pursuit guidance is proposed, to perform stationary target observation mission. Multiple UAVs are considered, with waypoint constraint. The whole guidance is divided into two steps: firstly, waypoint approach, with specified incidence angle; and secondly, loitering around the stationary target. Geometric approach is used to consider the constraint on the waypoint, and a specified phase angle between the loitering UAV and the approaching UAV. In the waypoint approach step, UAVs fly to the waypoint using the pseudo pursuit guidance law. After passing the waypoint, UAVs turn around the target, using a distance error dynamics-based guidance law. Numerical simulations are performed, to verify the performance of the proposed guidance law.