• 대한전자공학회논문지SD
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• 제41권8호
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• pp.85-92
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• 2004

본 논문에서는 IEEE 1149.1 표준인 JTAG 기반 테스트 성능향상을 위한 Preceding instruction decoding module(PIDM)을 제안하였다. PIDM은 test access port(TAP) 명령어 디코딩과정을 TAP 제어회로(TAP-controller) 이전에 수행하여 클럭회수를 최소화하였으며 테스트 타겟 안에서 test mode select(TMS) 같은 신호를 생성할 수 있게끔 설계되었다. CORDIC 프로세서의 테스트 시뮬레이션 결과 PIDM은 non-PIDM에 비해 15% 정도의 성능향상을 나타내었으며 TAP 제어회로의 게이트 수는 기존에 비해 48% 이상 감소하였다.

• 대한전기학회논문지:시스템및제어부문D
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• 제54권7호
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• pp.468-474
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• 2005

Brain-machine interface (BMI) based on neuronal spike trains is regarded as one of the most promising means to restore basic body functions of severely paralyzed patients. The spike train decoding algorithm, which extracts underlying information of neuronal signals, is essential for the BMI. Previous studies report that a linear filter is effective for this purpose and there is no noteworthy gain from the use of nonlinear mapping algorithms, in spite of the fact that neuronal encoding process is obviously nonlinear. We designed several decoding algorithms based on the linear filter, and two nonlinear mapping algorithms using multilayer perceptron (MLP) and support vector machine regression (SVR), and show that the nonlinear algorithms are superior in general. The MLP often showed unsatisfactory performance especially when it is carelessly trained. The nonlinear SVR showed the highest performance. This may be due to the superiority of the SVR in training and generalization. The advantage of using nonlinear algorithms were more profound for the cases when there are false-positive/negative errors in spike trains.

• 정보처리학회논문지:컴퓨터 및 통신 시스템
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• 제7권8호
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• pp.211-218
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• 2018

본 연구에서는 6축 센서를 이용하여 식사 행동을 검출하고 식사 시간을 추론하는 알고리즘을 제안한다. 식사 행동을 음식을 집는 동작, 음식을 먹는 동작, 팔을 내려놓는 동작으로 분류하고, 각 동작 별로 자이로 신호의 특징점을 선정하고 특징점이 순서대로 나타날 경우 식사 행동을 검출한다. 제안한 알고리즘은 정확도 94.3%와 정밀도 84.1%를 달성하였다.

• 한국컴퓨터정보학회지
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• 제2권1호
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• pp.121-129
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• 1995

결함 시뮬레이션은 테스트 생성의 중요한 과정이며 테스트가 올바른지 검증하거나 결함사전을 작성하는 데에 쓰인다. 본 논문에서는 회로의 신뢰성을 검증하기 위해 사용되는 테스트 패턴을 효율적으로 생성하기 위하여 역추적 결함 시뮬레이션 알고리즘을 제안하였다. 제안한 알고리즘의 기본구성은 초기화 과정, 역추적 결함 시뮬레이션 과정 및 입력패턴의 변화가 생겼을 때 즉 리스트변화가 있을때의 재계산 과정 등 3부분으로 되어 있다. 기본개념은 역추적 과정에서 출력선을 제어하지 못하는 입력을 커팅하므로서 최소의 결함리스트를 유지하는 것이며 리스트의 변화가 생겼을 때 논리변화가 일어나는 신호선만 재계산한다. 제안한 알고리즘은 기억장소의 요구도를 O(n)으로 줄이고 수행시간을 향상시켜 효율적임을 보인다.

• 한국IT서비스학회지
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• 제20권3호
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• pp.1-12
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• 2021

Reactor Coolant Pump (RCP) is core part of nuclear power plant to provide the forced circulation of reactor coolant for the removal of core heat. Properly monitoring vibration of RCP is a key activity of a successful predictive maintenance and can lead to a decrease in failure, optimization of machine performance, and a reduction of repair and maintenance costs. Here, we developed real-time RCP Vibration Analysis System (VAS) that web based platform using NoSQL DB (Mongo DB) to handle vibration data of RCP. In this paper, we explain how to implement digital signal process of vibration data from time domain to frequency domain using Fast Fourier transform and how to design NoSQL DB structure, how to implement web service using Java spring framework, JavaScript, High-Chart. We have implement various plot according to standard of the American Society of Mechanical Engineers (ASME) and it can show on web browser based on HTML 5. This data analysis platform shows a upgraded method to real-time analyze vibration data and easily uses without specialist. Furthermore to get better precision we have plan apply to additional machine learning technology.

• 대한조선학회논문집
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• 제59권2호
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• pp.118-124
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• 2022

Marine environment analysis and ship motion prediction during ship navigation are important technologies for safe and economical operation of autonomous ships. As a marine environment analysis technology, there is a method of analyzing waves by measuring the sea states through images acquired based on radar(radio detection and ranging) signal. However, in the process of deriving marine environment information from radar images, noises generated by external factors are included, limiting the interpretation of the marine environment. Therefore, image processing for noise removal is required. In this study, image inpainting by partial convolutional neural network model is proposed as a method to remove noises and reconstruct radar images.

• International Journal of Computer Science & Network Security
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• 제22권11호
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• pp.241-247
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• 2022

Ad hoc network is self-organized network powered by battery. The reliability of virtual user identification and channel security are reduced when SNR is low due to limited user energy. In order to solve this problem, a joint virtual user identification and channel security en/decoding method is proposed in this paper. Transmitter-receiver-based virtual user identification code is generated by executing XOR operation between orthogonal address code of transmitter and pseudo random address code of receiver and encrypted by channel security code to acquire orthogonal random security sequence so as to improve channel security. In order to spread spectrum as well as improve transmission efficiency, data packet is divided into 6-bit symbols, each symbol is mapped with an orthogonal random security sequence. Subspace-based method is adopted by receiver to process received signal firstly, and then a judgment model is established to identify virtual users according to the previous processing results. Simulation results indicate that the proposed method obtains 1.6dB E_b/N₀ gains compared with reference methods when miss alarm rate reaches 10^-3.

• International Journal of Computer Science & Network Security
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• 제22권12호
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• pp.212-216
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• 2022

Space based constellation network is a kind of ad hoc network in which users are self-organized without center node. In space based constellation network, users are allowed to enter or leave the network at any given time. Thus, the number of active users is an unknown and time-varying parameter, and the performance of the network depends on how accurately this parameter is estimated. The so-called problem of active user identification, which consists of determining the number and identities of users transmitting in space based constellation network is discussed and a novel active user identification method is proposed in this paper. Active user identification code generated by transmitter address code and receiver address code is used to spread spectrum. Subspace-based method is used to process received signal and judgment model is established to identify active users according to the processing results. The proposed method is simulated under AWGN channel, Rician channel and Rayleigh channel respectively. Numerical results indicate that the proposed method obtains at least 1.16dB E_b/N₀ gains compared with reference methods when miss alarm rate reaches 10^-3.

• Nuclear Engineering and Technology
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• 제55권9호
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• pp.3359-3366
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• 2023

In this study, a spiking cortical model (SCM) based n-g discrimination method is proposed. The SCM-based algorithm is compared with three other methods, namely: (i) the pulse-coupled neural network (PCNN), (ii) the charge comparison, and (iii) the zero-crossing. The objective evaluation criteria used for the comparison are the FoM-value and the time consumption of discrimination. Experimental results demonstrated that our proposed method outperforms the other methods significantly with the highest FoM-value. Specifically, the proposed method exhibits a 34.81% improvement compared with the PCNN, a 50.29% improvement compared with the charge comparison, and a 110.02% improvement compared with the zero-crossing. Additionally, the proposed method features the second-fastest discrimination time, where it is 75.67% faster than the PCNN, 70.65% faster than the charge comparison and 38.4% slower than the zero-crossing. Our study also discusses the role and change pattern of each parameter of the SCM to guide the selection process. It concludes that the SCM's outstanding ability to recognize the dynamic information in the pulse signal, improved accuracy when compared to the PCNN, and better computational complexity enables the SCM to exhibit excellent n-γ discrimination performance while consuming less time.

• 드라이브 ㆍ 컨트롤
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• 제20권4호
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• pp.17-26
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• 2023

A forklift is an industrial vehicle that lifts or transports heavy objects using a hydraulically operated fork, and is equipped with an automatic transmission for the convenience of repetitive transportation, loading, and unloading work. The Transmission Control Unit (TCU) is a key component in charge of the shift control function of an automatic transmission. It consists of an electric circuit with an input/output signal interface function and firmware running on a microcontroller. To develop TCU firmware, the development process of shifting algorithm design, firmware programming, verification test, and performance improvement must be repeated. A simulator is a device that simulates a mechanical system having dynamic characteristics in real time and simulates various sensor signals installed in the system. The embedded transmission simulator is a simulator that is embedded in the TCU firmware. information related to the mechanical system that is necessary for TCU normal operation. In this study, an embedded transmission simulator applied to the originally developed forklift TCU firmware was designed and used to verify various forklift shift control algorithms.