• Title/Summary/Keyword: dynamic analysis framework

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A Comparison Study on the Semi-empirical Analysis Approach for the Flight Characteristics of a Light Airplane (경비행기의 비행특성 분석 및 준경험적 분석 방법 비교)

  • Lee, Jung-hoon
    • Journal of Aerospace System Engineering
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    • v.16 no.3
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    • pp.1-9
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    • 2022
  • In this study, for development of the MDO (Multi Disciplinary Optimization) framework, the flight dynamic characteristic parameters of the ChangGong-91, a light aircraft, were extracted by an analytical method based on various semi-empirical methods, and the flight test method was compared and evaluated. The semi-empirical analysis methods for comparative subjects were the Perkins method, McCormick method, and Smetana method. The major stability/control derivatives and dynamic factors were calculated, using each method. As the comparison criteria, the flight test derivative estimates and dynamic factors were processed, using the output error method. Additionally, the flight characteristics of the light aircraft were analyzed and evaluated according to the provisions of the Korean Airworthiness Standard (KAS) of the Ministry of Land, Infrastructure and Transport, and MIL-F-8785C for the U.S. military.

Design and Application of Two-Stage Performance Measurement System Considering Dynamic Capabilities (동태적 역량을 고려한 2단계 성과측정시스템 설계 및 적용)

  • Kwon, Sun-Man;Han, Chang Hee
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.41 no.2
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    • pp.65-73
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    • 2018
  • The dynamic capabilities of sensing market signals, creating new opportunities and reconfiguring resources and capabilities to new opportunities in a rapidly changing economic environment determines the competitiveness of the enterprise to create added value and survival. This study conceptualized a two-stage performance measurement framework based on the casual model of resource (input)-process-performance (output). We have developed a 'Process capability index' that reflect the dynamic capabilities factors as a key intermediary product linking resource inputs and performance outputs in enterprise performance measurement. The process capability index consists of four elements : manpower (level of human resource), operation productivity, structure and risk management. The DEA (Data Envelopment Analysis) model was applied to the developed performance indicators to analyze the branch office performance of a telecom company. Process capability efficiency (stage 1) uses resource inputs to reach a certain level of process capabilities. In performance result efficiency (stage 2), the process capabilities are used to generate sales revenues and subscribers. The two-stage DEA model derives intermediate output values that optimize the individual stages simultaneously. Some branch offices in the telecom company have focused on process capability efficiency or some other branch offices focused on performance result efficiency. Positioning map using two-stage efficiency decomposition and benchmarking can help identify the sources of inefficiencies and visualize strategic directions for performance optimization. Applications of two-stage DEA in conjunction with the case study that are meaningfully used in performance measurement areas have been scarce. In particular, this paper has the contribution to present a new performance measurement model considering the organization theory, the dynamic capabilities.

Dynamic Quasi-Elastic Light Scattering Measurement of Biological Tissue

  • Youn, Jong-In;Lim, Do-Hyung
    • Journal of Biomedical Engineering Research
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    • v.28 no.2
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    • pp.169-173
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    • 2007
  • During laser irradiation, mechanically deformed cartilage undergoes a temperature dependent phase transformation resulting in accelerated stress relaxation. Clinically, laser-assisted cartilage reshaping may be used to recreate the underlying cartilaginous framework in structures such as ear, larynx, trachea, and nose. Therefore, research and identification of the biophysical transformations in cartilage accompanying laser heating are valuable to identify critical laser dosimetry and phase transformation of cartilage for many clinical applications. quasi-elastic light scattering was investigated using Ho : YAG laser $(\lambda=2.12{\mu}m\;;\;t_p\sim450{\mu}s)$ and Nd:YAG Laser $(\lambda=1.32{\mu}m\;;\;t_p\sim700{\mu}s)$ for heating sources and He : Ne $(\lambda=632.8nm)$ laser, high-power diode pumped laser $(\lambda=532nm)$, and Ti : $Al_2O_3$ femtosecond laser $(\lambda=850nm)$ for light scattering sources. A spectrometer and infrared radiometric sensor were used to monitor the backscattered light spectrum and transient temperature changes from cartilage following laser irradiation. Analysis of the optical, thermal, and quasi-elastic light scattering properties may indicate internal dynamics of proteoglycan movement within the cartilage framework during laser irradiation.

Fault Diagnosis in Semiconductor Etch Equipment Using Bayesian Networks

  • Nawaz, Javeria Muhammad;Arshad, Muhammad Zeeshan;Hong, Sang Jeen
    • JSTS:Journal of Semiconductor Technology and Science
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    • v.14 no.2
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    • pp.252-261
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    • 2014
  • A Bayesian network (BN) based fault diagnosis framework for semiconductor etching equipment is presented. Suggested framework contains data preprocessing, data synchronization, time series modeling, and BN inference, and the established BNs show the cause and effect relationship in the equipment module level. Statistically significant state variable identification (SVID) data of etch equipment are preselected using principal component analysis (PCA) and derivative dynamic time warping (DDTW) is employed for data synchronization. Elman's recurrent neural networks (ERNNs) for individual SVID parameters are constructed, and the predicted errors of ERNNs are then used for assigning prior conditional probability in BN inference of the fault diagnosis. For the demonstration of the proposed methodology, 300 mm etch equipment model is reconstructed in subsystem levels, and several fault diagnosis scenarios are considered. BNs for the equipment fault diagnosis consists of three layers of nodes, such as root cause (RC), module (M), and data parameter (DP), and the constructed BN illustrates how the observed fault is related with possible root causes. Four out of five different types of fault scenarios are successfully diagnosed with the proposed inference methodology.

A Study on Game Mechanics and Dynamics of Survival Game Content (생존 게임 콘텐츠의 게임 메커닉·다이내믹 연구)

  • Kang, Jihye;Jang, Ahyoung;Song, Inhee
    • Journal of Korea Game Society
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    • v.18 no.4
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    • pp.5-14
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    • 2018
  • Nowadays, game development of new genres continues through convergence among existing genres, and the games of this hybrid-genre are gaining popularity around the world. Following this trend, it is meaningful to analyze the characteristic contents of the existing genre for more effective genre fusion. In this paper, in the genre of survival game, a genre of digital game, we would like to select a representative survival game for analysis of survival content, which is a key goal and core of the game, to identify common and differentiated features. For this purpose, we have studied game mechanics and game dynamic components around the contents of the survival game, based on the MDA framework.

Risk Management interaction model for Process of Information Security Governance (정보보호 거버넌스 프로세스를 위한 위험관리 상호작용 모델)

  • Song, You-Jin
    • KIPS Transactions on Computer and Communication Systems
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    • v.1 no.2
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    • pp.103-108
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    • 2012
  • Recently, IT Governance has been applied to business management environment. In this paper, we study business model that can minimize information security risk using IT governance in cloud computing environment. Especially, we propose the interaction model that link risk management for subject of information security governance. In our model, synergy means the effective, strategic and secure business support. And interaction analysis of BMIS's 4 elements and 6 dynamic interconnections is required. Therefore we propose interaction model which can link risk management based on COSO ERM or COBIT Risk IT Framework.

A Mechanism for Combining Quantitative and Qualitative Reasoning (정량 추론과 정성 추론의 통합 메카니즘 : 주가예측의 적용)

  • Kim, Myoung-Jong
    • Knowledge Management Research
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    • v.10 no.2
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    • pp.35-48
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    • 2009
  • The paper proposes a quantitative causal ordering map (QCOM) to combine qualitative and quantitative methods in a framework. The procedures for developing QCOM consist of three phases. The first phase is to collect partially known causal dependencies from experts and to convert them into relations and causal nodes of a model graph. The second phase is to find the global causal structure by tracing causality among relation and causal nodes and to represent it in causal ordering graph with signed coefficient. Causal ordering graph is converted into QCOM by assigning regression coefficient estimated from path analysis in the third phase. Experiments with the prediction model of Korea stock price show results as following; First, the QCOM can support the design of qualitative and quantitative model by finding the global causal structure from partially known causal dependencies. Second, the QCOM can be used as an integration tool of qualitative and quantitative model to offerhigher explanatory capability and quantitative measurability. The QCOM with static and dynamic analysis is applied to investigate the changes in factors involved in the model at present as well discrete times in the future.

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Computations of Compressible Two-phase Flow using Accurate and Efficient Numerical Schemes

  • Kim, Chong-Am
    • 한국전산유체공학회:학술대회논문집
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    • 2006.10a
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    • pp.13-17
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    • 2006
  • RoeM and AUSMPW+ schemes are two of the most accurate and efficient schemes which are recently developed for the analysis of single phase gas dynamics. In this paper, we developed two-phase versions of these schemes for the analysis of gas-liquid large density ratio two-phase flow. We adopt homogeneous equilibrium model (HEM) using mass fraction to describe different two phases. In the Eulerian-Eulerian framework, HEM assumes dynamic and thermal equilibrium of the two phases in the same computational mesh. From the mixture equation of state (EOS), we derived new shock-discontinuity sensing term (SDST), which is commonly used in RoeM and AUSMPW+ for the stable numerical flux calculation. The proposed two-phase versions of RoeM and AUSMPW+ schemes are applied on several air-water two-phase test problems. In spite of the large discrepancy of material properties such as density, enthalpy, and speed of sound, the numerical results show that both schemes provide very satisfactory solutions.

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Study on The Development of Basic Simulation Network for Operational Transient Analysis of The CANDU Power Plant

  • Park, Jong-Woon;Lim, Jae-cheon;Suh, Jae-seung;Chung, Ji-bum;Kim, Sung-Bae
    • Proceedings of the Korean Nuclear Society Conference
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    • 1995.10a
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    • pp.423-428
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    • 1995
  • Simulation models have been developed to predict the overall behavior of the CANDU plant systems during normal operational transients. For real time simulation purpose, simplified thermal hydraulic models are applied with appropriate system control logics, which include primary heat transport system solver with its component models and secondary side system models. The secondary side models are mainly used to provide boundary conditions for primary system calculation and to accomodate plant power control logics. Also, for the effective use of simulation package, hardware oriented basic simulation network has been established with appropriate graphic display system. Through validation with typical plant power maneuvering cases using proven plant performance analysis computer code, the present simulation package shows reasonable capability in the prediction of the dynamic behavior of plant variables during operational transients of CANDU plant, which means that this simulation tool can be utilized as a basic framework for full scope simulation network through further improvements.

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Analytical solutions for skewed thick plates subjected to transverse loading

  • Chun, Pang-Jo;Fu, Gongkang;Lim, Yun Mook
    • Structural Engineering and Mechanics
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    • v.38 no.5
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    • pp.549-571
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    • 2011
  • This paper presents analytical solutions for skewed thick plates under transverse loading that have previously been unreported in the literature. The thick plate solution is obtained in a framework of an oblique coordinate system. The governing equation is first derived in the oblique coordinate system, and the solution is obtained using deflection and rotation as partial derivatives of a potential function developed in this research. The solution technique is applied to three illustrative application examples, and the results are compared with numerical solutions in the literature and those derived from the commercial finite element analysis package ANSYS 11. These results are in excellent agreement. The present solution may also be used to model skewed structures such as skewed bridges, to facilitate efficient routine design or evaluation analyses, and to form special elements for finite element analysis. At the same time, the analytical solution developed in this research could be used to develop methods to address post-buckling and dynamic problems.