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지식공학을 위한 Prolog 프로그래밍 환경에서 제어 정보에 관한 연구
김자룡,홍영표 진주여자전문대학 1990 論文集 Vol.13 No.-
In the Prolog programming environment it is easy to program by the Pattern compound function and the automatical feed-back device. On the contrary this feed-back device makes debugging difficult bacause user has difficulties in finding out program control. That is, there occurs bug that user doesn't notice error feed-back when performs the undefined predicate. This study proposes box model as debugging tool to control this, and Puts the examples debugging with the devide-and-query to support debug in the status of Algorithm. The devide-and-query is the method to find bug by asking the user whether each clause is correct or not. With this, Prolog, beyond the scope of knowledge representing language, will be able to perform logical interpretation as an Artifical Intelligence Language.
FFT 파우워 스펙트럼 分析器의 컴퓨터 시뮬레이션에 關한 硏究
金子龍 진주여자전문대학 1988 論文集 Vol.10 No.-
本 論文에서는 마이크로 컴퓨터를 利用하여 스펙트럼을 解析할 수 있는 經濟的이며 效率的인 FFT 스펙트럼 解析器를 構成하였다. 시뮬레이션 結果, 入力信號의 周波數 成分이 周波數 스팩트럼상에서 安定되게 나타났음을 確認하였다. This study is to implement the economical and effectively FFT spectrum analyzer which can be analyzed Frequency spectrum using microcomputer. As a result of simulation, it is confimed that frequency component of input signal is stably exhibited on frequency spectrum.
계층적 센서네트워크에서 에너지 효율성을 위한 최적의 클러스터 비율 분석
김자룡(Zilong Jin),김대영(Dae-Young Kim),조진성(Jinsung Cho) 한국통신학회 2013 韓國通信學會論文誌 Vol.38 No.6B
무선 센서네트워크에서 클러스터링 기법은 네트워크 확장성과 네트워크 수명 연장에 효율적이라고 인정받고 있다. 본 논문에서는 클러스터 기반 센서 네트워크에서 multi-hop to one-hop 전송 환경을 고려하여 에너지 효율성에 최적인 클러스터 비율(cluster ratio, CR)을 분석하는데 초점을 둔다. 본 논문에서는 지정한 클러스터 비율을 통한 시스템 홉 수(hop-count) 최소화와 노드 간 패킷수신율(packet reception ratio, RPP) 최대화 사이의 이해득실(trade-off) 관계를 분석하고 이 두 요소를 종합적으로 고려하여 목표함수를 유도한다. 제안한 목표함수를 통하여 얻은 최적의 클러스터 비율은 네트워크에서 패킷 전송에 드는 비용뿐만 아니라 노드 간 재전송 오버헤드를 줄여줌으로써 에너지 효율성을 향상시킨다. 본 논문에서 제안한 기법은 최소 홉 수 클러스터링 방안과 비교되며 시뮬레이션을 통하여 향상된 에너지 효율성을 검증하였다. Clustering schemes have been adopted as an efficient solution to prolong network lifetime and improve network scalability. In such clustering schemes cluster ratio is represented by the rate of the number of cluster heads and the number of total nodes, and affects the performance of clustering schemes. In this paper, we mathematically analyze an optimal clustering ratio in wireless sensor networks. We consider a multi-hop to one-hop transmission case and aim to provide the optimal cluster ratio to minimize the system hop-count and maximize packet reception ratio between nodes. We examine its performance through a set of simulations. The simulation results show that the proposed optimal cluster ratio effectively reduce transmission count and enhance energy efficiency in wireless sensor networks.
崔一泓,金子龍 진주여자전문대학 1992 論文集 Vol.15 No.-
This paper is concerned with the detection system of the evoked potential using the method of averaging response. The detection system is implemented with the microprocessor. The evoked potential by the aperiodic photic stimulus is detected. A satisfactory result could be obtained from the detected evoked potential.
최승호,김자룡,이기영,최갑석 明知大學校 産業技術硏究所 1989 産業技術硏究所論文集 Vol.8 No.-
In this paper, Recognition of HANGUL Vowel using a neural network is studied. In general, Back-propagation is applied for the speech recognition, but has too much computational time for learning. The method using peak information of speech signal is used for the purpose of reduction of computational time. The speech spectrum of a vowel consists of the sixteen frame and a frame is divided by the sixteen hand and binary code 1,0 is used as input data corresponding to whether peaks exist or not, respectively, on each band in frequency spectrum. The experimental result show that the learning number is reduced remarkably and the recognition rate is improved according to increasing ratio of learning and unlearning data.
崔一泓,金子龍 진주여자전문대학 1996 論文集 Vol.19 No.-
This paper has proposed the speech recognition method based on OFEC algorithm and cepstrum data. The OFEC algorithm has extracted the C-LPC coefficients using tne LPC data obtained from the preprocessing. The proposed method has extracted the C-CEP coefficients assigning the OFEC algorithm to the cepstrum datas. As a result of the recognition experiment that the C-CEP datas, which were extracted by the proposed method, and the C-LPC datas by the existing method were applied to the neural network, it showed that the proposed method improved the process time and recognition rate as compared with the
박순규,최일홍,김자룡 진주여자전문대학 1996 論文集 Vol.19 No.-
A adaptive filter structure based on the subband decomposition of FIR filter using the wavelet transform is designed and tested. There is no sampling rate alternation in this structure and therefore no aliasing problem occurs. The adaptive noise reduction characteristics using the Harr wavelet transform and DFT are presented and compared. The structure using the Harr wavelet transform is computationally efficient compared to the DFT(FFT) method.