• 제목/요약/키워드: approach time

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코스닥시장에서의 신규공모주의 장기성과 분석 -수요예측제도 도입 후를 중심으로- (The Analysis of Long Term Performance of Initial Public Offerings in KOSDAQ Market)

  • 신연수;서충원;신용재
    • 경영과정보연구
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    • 제28권1호
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    • pp.25-44
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    • 2009
  • 신규공모주(initial public offerings)는 기업의 중요한 자금조달 수단 중 하나에 속한다. 우리나라는 그 동안 신규공모주의 공모가를 산정하는 절차 및 제도에 많은 변화를 겪어 왔다. 특히 수요예측제도(book building)는 신규공모주의 공모가를 결정하는 방식에 있어서 획기적인 변화를 초래하였다고 볼 수 있다. 이에 본 연구는 코스닥시장을 대상으로 수요예측제도 도입 이후의 신규공모주의 장기성과를 분석한다. 본 연구에서는 분석결과에 신뢰성을 제고하고자 이벤트타임 포트폴리오(event time portfolio) 접근법과 더불어 캘린더타임 포트폴리오(calendar time portfolio) 접근법을 이용하여 신규공모주의 장기성과를 측정하였다. 본 연구의 결과는 다음과 같다. 이벤트타임 포트폴리오 접근법인 보유초과수익률(BHAR)과 누적초과수익률(CAR)을 이용한 분석에서 신규공모주의 장기성과가 통계적으로 유의한 양(+)의 값을 보이며, 왜도(Skewness)를 조정한 통계검정에서도 동일하게 나타났다. 또한, 상대적 부(Wealth Relatives)의 경우 대부분의 기간에서 1보다 크게 나타나 양(+)의 장기성과를 보였다. 캘린더타임 포트폴리오 접근법인 Fama-French의 3요인 모형, 캘린더타임 초과수익률(CTAR), RATS(Return Across Time and Securities) 모형 등을 이용한 분석결과, 신규공모주의 초과수익률이 대체로 유의한 양(+)의 값을 지니는 것으로 나타났다. 이러한 결과는 벤처기업 여부와 관계없이 모든 집단에 동일하게 나타남이 확인되었다. 따라서 본 연구결과는 신규공모주의 장기성과가 저평가되었다는 기존의 대다수 주장과 달리, 신규공모주가 장기적으로 고성과를 지닌다는 주장을 지지한다.

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Real-time hybrid testing using model-based delay compensation

  • Carrion, Juan E.;Spencer, B.F. Jr.
    • Smart Structures and Systems
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    • 제4권6호
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    • pp.809-828
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    • 2008
  • Real-time hybrid testing is an attractive method to evaluate the response of structures under earthquake loads. The method is a variation of the pseudodynamic testing technique in which the experiment is executed in real time, thus allowing investigation of structural systems with time-dependent components. Real-time hybrid testing is challenging because it requires performance of all calculations, application of displacements, and acquisition of measured forces, within a very small increment of time. Furthermore, unless appropriate compensation for time delays and actuator time lag is implemented, stability problems are likely to occur during the experiment. This paper presents an approach for real-time hybrid testing in which time delay/lag compensation is implemented using model-based response prediction. The efficacy of the proposed strategy is verified by conducting substructure real-time hybrid testing of a steel frame under earthquake loads. For the initial set of experiments, a specimen with linear-elastic behavior is used. Experimental results agree well with the analytical solution and show that the proposed approach and testing system are capable of achieving a time-scale expansion factor of one (i.e., real time). Additionally, the proposed method allows accurate testing of structures with larger frequencies than when using conventional time delay compensation methods, thus extending the capabilities of the real-time hybrid testing technique. The method is then used to test a structure with a rate-dependent energy dissipation device, a magnetorheological damper. Results show good agreement with the predicted responses, demonstrating the effectiveness of the method to test rate-dependent components.

Digital Control of UPS Inverter with Time Response Specifications

  • Woo Young-Tae;Kim Jae-Sik;Kim Young-Chol
    • KIEE International Transaction on Electrical Machinery and Energy Conversion Systems
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    • 제5B권2호
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    • pp.196-203
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    • 2005
  • In this paper, a digital controller for satisfying time response requirements for UPS inverters is designed in a fixed sampling time. The CRA (Characteristic Ratio Assignment) is used as the continuous time design method to deal with the problems of overshoot and settling time. The main design approaches are the inward and outward approaches based on a double-loop feedback structure. The continuous-time controller is discretized by the emulation method. The performances of the proposed controller are evaluated through several simulations carried out with Simpower System Toolbox 3.0 from Simulink$^{(R)}.

적응필터를 위한 최적수렴일자에 관한 연구 (A Study on the Optimum Convergence Factor for Adaptive Filters)

  • 부인형;강철호
    • 전자공학회논문지B
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    • 제31B권7호
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    • pp.49-57
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    • 1994
  • An efficient approach for the computationtion of the optimum convergence factor is proposed for the LMS algorithm applied to a transversal FIR structure in this study. The approach automatically leads to an optimum step size algorithm at each weight in every iteration that results in a dramatic reduction in terms of convergence time. The algorithm is evaluated in system identification application where two alternative computer simulations are considered for time-invariant and time-varying system cases. The results show that the proposed algorithm needs not appropriate convergence factor and has better performance than AGC(Automatic Gain Control) algorithm and Karni algorithm, which require the convergence factors controlled arbitrarily in computer simulation for time-invariant system and time-varying systems. Also, itis shown that the proposed algorithm has the excellent adaptability campared with NLMS(Normalized LMS) algorithm and RLS (Recursive least Square) algorithm for time-varying circumstances.

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Time Domain Passivity Approach for Soft and Deformable Environments

  • Ryu, J.H.;Kim, J.H.
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2005년도 ICCAS
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    • pp.107-112
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    • 2005
  • Recently proposed stable teleoperation control scheme, base on time domain passivity, is modified to remove several conservatisms. During unconstrained motion and contacting with soft and deformable environments, the two-port time domain passivity approach [21] was excessively dissipating energy even though it was stable without any energy dissipation. The main reason of this conservatism is on the fact that the time domain passivity controller does not include the external energy dissipation elements at the slave manipulator. The measured interaction force between slave and environment allow the time domain passivity observer to include the amount of energy dissipation of the slave manipulator to the monitored energy. With the modified passivity observer, reference energy following idea [24] is applied to satisfy the passivity condition. The feasibility of the developed methods is proved with experiments. Improved performance is obtained in unconstrained motion and contacting with a soft environment.

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Effect of Dimension Reduction on Prediction Performance of Multivariate Nonlinear Time Series

  • Jeong, Jun-Yong;Kim, Jun-Seong;Jun, Chi-Hyuck
    • Industrial Engineering and Management Systems
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    • 제14권3호
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    • pp.312-317
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    • 2015
  • The dynamic system approach in time series has been used in many real problems. Based on Taken's embedding theorem, we can build the predictive function where input is the time delay coordinates vector which consists of the lagged values of the observed series and output is the future values of the observed series. Although the time delay coordinates vector from multivariate time series brings more information than the one from univariate time series, it can exhibit statistical redundancy which disturbs the performance of the prediction function. We apply dimension reduction techniques to solve this problem and analyze the effect of this approach for prediction. Our experiment uses delayed Lorenz series; least squares support vector regression approximates the predictive function. The result shows that linearly preserving projection improves the prediction performance.

초단파 레이저 조사시 티슈 열완화 시간 분석 (Analysis of Thermal Relaxation Time of Tissues Subject to Pulsed Laser Irradiation)

  • 김경한;이제훈;서정
    • 한국레이저가공학회지
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    • 제12권2호
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    • pp.17-25
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    • 2009
  • Two methodologies for predicting thermal relaxation time of tissue subjected to pulsed laser irradiation is introduced by the calculation the optical penetration depth and by the investigation of the temperature diffusion behavior. First approach is that both x-axial and y-axial thermal relaxation times are predicted and they are superposed to achieve the thermal relaxation time (${\tau}_1$) for two-dimensional square tissue model. Another approach to achieve thermal relaxation time (${\tau}_2$) is measuring the time required for local temperature drop until $e^{-1}$ of the maximum laser induced heating.

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Path Collision-aware Real-time Link Scheduling for TSCH Wireless Networks

  • Darbandi, Armaghan;Kim, Myung Kyun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권9호
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    • pp.4429-4445
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    • 2019
  • As low-power and low-rate WSNs are being widely used for industrial applications, the scheduling of such applications becomes a critical issue to guarantee meeting the stringent requirements of determinism and tight latencies. This paper studies the link scheduling problem for real-time industrial applications in time-slotted channel hopping (TSCH) networks. We propose a heuristic algorithm for centralized link scheduling referred to as path-collision aware least laxity first (PC-LLF) algorithm, which dynamically prioritizes the packets based on the laxity time to the end-to-end deadlines and the amount of collisions that messages might deal with along their designated paths to the destination device. We propose schedulability analysis of real-time applications scheduled under our prioritization approach over TSCH networks, based on the literature on real-time schedulability analysis of multiprocessors and distributed systems. We show that our methodology provides an improved schedulability condition with respect to the existing approaches. Performance evaluation studies quantify to quantify the performance of our proposed approach under a variety of scenarios.

Advance Crane Lifting Safety through Real-time Crane Motion Monitoring and Visualization

  • Fang, Yihai;Cho, Yong K.
    • 국제학술발표논문집
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    • The 6th International Conference on Construction Engineering and Project Management
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    • pp.321-323
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    • 2015
  • Monitoring crane motion in real time is the first step to identifying and mitigating crane-related hazards on construction sites. However, no accurate and reliable crane motion capturing technique is available to serve this purpose. The objective of this research is to explore a method for real-time crane motion capturing and investigate an approach for assisting hazard detection. To achieve this goal, this research employed various techniques including: 1) a sensor-based method that accurately, reliably, and comprehensively captures crane motions in real-time; 2) computationally efficient algorithms for fusing and processing sensing data (e.g., distance, angle, acceleration) from different types of sensors; 3) an approach that integrates crane motion data with known as-is environment data to detect hazards associated with lifting tasks; and 4) a strategy that effectively presents crane operator with crane motion information and warn them with potential hazards. A prototype system was developed and tested on a real crane in a field environment. The results show that the system is able to continuously and accurately monitor crane motion in real-time.

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주기적인 예방보전정책의 베이즈 접근방법 (A Bayesian Approach to Periodic Preventive Maintenance Policy)

  • 한성실;정기문;권영섭
    • 품질경영학회지
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    • 제29권3호
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    • pp.39-48
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    • 2001
  • Preventive maintenance(PM) is an action taken on a repairable system while it is still operating, which needs to be carried out in order to keep the system at the desired level of successful operation. In this paper, we consider a Bayesian approach to determine an optimal periodic preventive maintenance policy. When the failure time is Weibull distribution with uncertain parameters, a Bayesian approach is established. Some numerical examples are presented for illustrative purpose.

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