• Proceedings of the Korea Information Processing Society Conference
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• 2000.10a
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• pp.567-570
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• 2000

지금까지의 수정영향 분석에 대한 연구는 주로 원시코드 기반으로 진행되어 왔다. 그러나 원시코드를 기반으로 한 소프트웨어의 수정영향 분석은 세부적이고 복잡하여, 소프트웨어의 수정영향 범위를 효과적으로 분석하고 클래스간의 제어의존성을 파악하기에 부적합하다. 따라서, 본 논문에서는 UML의 설계단계 산출물인 순차도(sequence diagram)를 기반으로 하여, 클래스간의 수정영향범위 분석을 위한 제어의존성 관계그래프와 알고리즘을 제안한다. 본 논문에서 제안한 제어의존성 관계그래프와 알고리즘은, 소프트웨어에 수정이 일어났을 경우에 수정의 영향범위를 결정하고 제어구조에 따라서 테스트의 순서를 명확히 정의함으로 유지보수 단계에서 시스템을 효율적으로 관리하고 유지하는데 드는 비용과 노력을 절약한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2000.10a
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• pp.571-574
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• 2000

지금까지의 수정영향 분석에 대한 연구는 주로 원시코드 기반으로 진행되어 왔다. 그러나 원시코드를 기반으로 한 소프트웨어의 수정영향 분석은 세부적이고 복잡하여, 소프트웨어의 수정영향 범위를 효과적으로 분석하고 클래스간의 제어의존성을 파악하기에 부적합하다. 따라서, 본 논문에서는 UML의 설계단계 산출물인 순차도(sequence diagram)를 기반으로 하여, 클래스간의 수정영향범위 분석을 위한 제어의존성 관계그래프와 알고리즘을 제안한다. 본 논문에서 제안한 제어의존성 관계그래프와 알고리즘은, 소프트웨어에 수정이 일어났을 경우에 수정의 영향범위를 결정하고 제어구조에 따라서 테스트의 순서를 명확히 정의함으로 유지보수 단계에서 시스템을 효율적으로 관리하고 유지하는데 드는 비용과 노력을 절약한다.

• Explosives and Blasting
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• v.18 no.4
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• pp.29-42
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• 2000

발파에 사용하는 지발뇌관의 정확한 지연초시클 알지 못하면 발파진동제어 발파에서 허용진동값을 초과하여 실패하는 경우가 많다. 발파공의 지발단차를 설계함에 있어서 지발뇌관 사이의 실제 기폭초시가 8 ms를 초과하도록 기폭초시를 배열하기 위해서는 지발뇌관 자체의 지발초시 오차가 발파에 어떠한 영향을 미치는 가를 면밀하게 검토하여 발파진동을 제어할 수 있도록 지발뇌관 실제 초시에 의해 순차적으로 기폭될 수 있는 지발시차로 발파를 설계해야 한다. 지발뇌관의 제조기준과 명목상의 호칭 초시 및 실제 초시 등이 어떤 특징을 나타내며 발파를 설계할 때에는 어떤 초시를 기준하여 설계해야 진동제어를 실현할 수 있는 가를 알아보고, 국내의 전기 지발뇌관과 다단발파기를 이용한 발파설계 사례는 어떤 종류가 있으며, 다단발파 구역의 회로분할과 분할구역에 대하여 지발뇌관 및 다단발파기에 의한 지연시차 배열은 어떻게 조합해야 올바른 진동제어 발파가 될 수 있는 지를 검토한다. 지발뇌관의 실제 초시를 고려하지 않은 발파에서 설계시의 허용기준과 관계없이 과대한 발파진동이 발생되어 공해가 발생되므로 지발뇌관의 실제 초시를 기준하여 중복초시와 적정한 초시간격이 유지될 수 있도록 설계하는 기술이 필요하다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.9 no.1
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• pp.22-33
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• 2005

In this paper, an efficient signal interference control technique to improve the high convergence speed of LMS algorithms is introduced in the adaptive transversal filter of DS/SS. The convergence characteristics of the proposed algorithm, whose coefficients are multiply adapted in a symbol time period by recycling the received data, is analyzed to prove theoretically the improvement of high convergence speed. According as the step-size parameter ${\mu}$ is increased, the rate of convergence of the algorithm is controlled. Also, an increase in the stop-size parameter ${\mu}$ has the effect of reducing the variation in the experimentally computed learning curve. Increasing the eigenvalue spread has the effect of controlling which is downed the rate of convergence of the adaptive equalizer. Increasing the steady-state value of the average squared error, proposed algorithm also demonstrate the superiority of signal interference control to the filter algorithm increasing convergence speed by (B+1) times due to the data-recycling LMS technique.

• Journal of Institute of Control, Robotics and Systems
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• v.15 no.10
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• pp.967-973
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• 2009

The model matching problem of asynchronous sequential machines is to design a corrective controller such that the stable-state behavior of the closed-loop system matches that of a prescribed model. In this paper, we address model matching when the external input set consists of controllable inputs and uncontrollable ones. Like in the frame of supervisory control of Discrete-Event Systems (DES), uncontrollable inputs cannot be disabled and must be transmitted to the plant without any change. We postulate necessary and sufficient conditions for the existence of a corrective controller that solves model matching despite the influence of uncontrollable events. Whenever a controller exists, the algorithm for its design is outlined. To illustrate the physical meaning of the proposed problem, the closed-loop system of an asynchronous machine with the proposed control scheme is implemented in VHDL code.

• Journal of Korea Multimedia Society
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• v.4 no.5
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• pp.455-464
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• 2001

For future multimedia services, one of the most crucial issues is building an access network that can accommodate multimedia services in subscriber network. The VB5.2 interface of B-ISDN located between an access network and a service node allows dynamic allocation and release of ATM resources. The SG 13 of ITU-T is standardizing the B-BCC protocol, which is sequentially interworked with signaling protocols in the service node. To minimize a connection setup delay of the sequential interworking mode, we proposed the parallel interworking model in which the SN executes simultaneously the connection control protocol of VB5.2 interface and signaling protocol. We simulate two interworking models in terms of a connection setup delay and a completion ratio. The results of simulation show that our proposed parallel interworking model for the VB5.2 interface reduces the setup delay and has the similar completion ratio compared to the sequential interworking model. however, the connection setup delay of parallel interworking model becomes about seven tenths of that of the sequential interworking model and the improvement become larger as the arrival rate increased.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.41 no.6
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• pp.59-70
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• 2004

SMT(Simultaneous Multi Threading) architecture uses TLP(Thread Level Parallelism) and increases processor throughput, such that issue slots can be filled with instructions from multiple independent threads. Having multiple ready threads reduces the probability that a functional unit is left idle, which increases processor efficiency. To utilize those advantages for the SMT processors, the issue unit must control the flow of instructions from different threads and not create conflicts among those instructions, which make the SMT issue logic extremely complex. Therefore, our SMT architecture, which is modeled in this paper, uses an in-order-issue and completion scheme, and therefore, can use a simple issue mechanism with a scoreboard already instead of using register renaming or a reorder buffer. However, an SMT scoreboarding mechanism is still more complex and costlier than that of a single threaded conventional processor. This paper proposes an optimal implementation of a scoreboarding mechanism for an ARM-based SMT architecture.

• Smart Media Journal
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• v.11 no.9
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• pp.9-20
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• 2022

Deep reinforcement learning(RL) is an end-to-end data-driven control method that is widely used in the autonomous driving domain. However, conventional RL approaches have difficulties in applying it to autonomous driving tasks due to problems such as inefficiency, instability, and uncertainty. These issues play an important role in the autonomous driving domain. Although recent studies have attempted to solve these problems, they are computationally expensive and rely on special assumptions. In this paper, we propose a new algorithm MCDT that considers inefficiency, instability, and uncertainty by introducing a method called uncertainty sequence modeling to autonomous driving domain. The sequence modeling method, which views reinforcement learning as a decision making generation problem to obtain high rewards, avoids the disadvantages of exiting studies and guarantees efficiency, stability and also considers safety by integrating uncertainty estimation techniques. The proposed method was tested in the OpenAI Gym CarRacing environment, and the experimental results show that the MCDT algorithm provides efficient, stable and safe performance compared to the existing reinforcement learning method.

• Journal of the Korea Society of Computer and Information
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• v.12 no.4
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• pp.269-277
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• 2007

Wireless sensor network system is expected to get high attention in research for now and future owing to the advanced hardware development technology and its various applicabilities. Among variety of sensor network systems, the seashore and marine sensor network, which are extended to get sampling of marine resources, environmental monitoring to prevent disaster and to be applied to the area of sea route guidance. For these marine applications to be available, however, the provision of precise location information of every sensor nodes is essential. In this paper, the sequential localization algorithm for obtaining the location information of marine sensor nodes. The sequential localization is done with the utilization of a small number of beacon nodes along the seashore and gets the location of nodes by controling the sequences of localization and also minimizes the error accumulation. The key idea of this algorithm for localization is that the localization priority of each sensor nodes is determined by the number of reference nodes' information. This sequential algorithm shows the improved error performance and also provide the increased coverage of marine sensor network by enabling the maximum localization of sensor nodes as possible.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.5
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• pp.922-930
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• 2009

An optimized PWM switching strategy for an induction motor voltage control is developed and demonstrated. Space vector modulation in voltage source inverter offers improved DC-bus utilization and reduced commutation losses and has been therefor recognized the preferred PWM method especially in case of digital implementation. An optimized PWM switching strategy for an induction motor voltage control consists of switching between the two active and one zero voltage vector by using the proposed optimal PWM algorithm. The preferred switching sequence is defined as a function of the modulation index and period of a carrier wave. The sequence is selected by using the inverter switching losses and the current ripple as the criteria. For low and medium power application, the experimental results indicate that good dynamic response and reduced harmonic distortion can be achieved by increasing switching frequency.