• Title/Summary/Keyword: Discrete information

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The Classification Using Probabilistic Neural Network and Redundancy Reduction on Very Large Scaled Chemical Gas Sensor Array (대규모 가스 센서 어레이에서 중복도의 제거와 확률신경회로망을 이용한 분류)

  • Kim, Jeong-Do;Lim, Seung-Ju;Park, Sung-Dae;Byun, Hyung-Gi;Persaud, K.C.;Kim, Jung-Ju
    • Journal of Sensor Science and Technology
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    • v.22 no.2
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    • pp.162-173
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    • 2013
  • The purpose of this paper is to classify VOC gases by emulating the characteristics found in biological olfaction. For this purpose, we propose new signal processing method based a polymeric chemical sensor array consisting of 4096 sensors which is created by NEUROCHEM project. To remove unstable sensors generated in the manufacturing process of very large scaled chemical sensor array, we used discrete wavelet transformation and cosine similarity. And, to remove the supernumerary redundancy, we proposed the method of selecting candidates of representative sensor representing sensors with similar features by Fuzzy c-means algorithm. In addition, we proposed an improved algorithm for selecting representative sensors among candidates of representative sensors to better enhance classification ability. However, Classification for very large scaled sensor array has a great deal of time in process of learning because many sensors are used for learning though a redundancy is removed. Throughout experimental trials for classification, we confirmed the proposed method have an outstanding classification ability, at transient state as well as steady state.

A Study on Improving the Correlation Characteristics of a Ternary Sequence (삼치 시퀀스의 상관함수 특성 개선 연구)

  • 권성재
    • Proceedings of the Korea Society for Industrial Systems Conference
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    • 2002.11a
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    • pp.407-411
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    • 2002
  • Ternary sequences are digital codes consisting of discrete values -1, 0, and 1 only. They are advantageous in that the correlation can be carried out using additions only Also, they feature an ideal circular autocorrelation function, but in channel characterization tasks, the usual requirement is that the linear autocorrelation function be ideal, i.e., a Kronecker delta function. In this article, we consider two approaches to improving their linear autocorrelation or crosscorrelation properties: one is an inverse filtering method with theresholding and the other is a singular value decomposition (SVD) method. Both methods are simulated under noisy circumstances. The inverse filtering method resulted in an improvement in peak sidelobe level of about 1㏈ at an SNR of 30㏈, and the SVD method showed similar performances, albeit more sensitive to noise depending on the singular value selection strategy.

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A STUDY ON HASH FUNCTIONS

  • Yang, Jeong-Mo
    • Journal of the Chungcheong Mathematical Society
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    • v.13 no.2
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    • pp.87-98
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    • 2001
  • In this paper, we study hash function, which will take a message of arbitrary length and produce a massage digest of a specified size. The message digest will then be signed. We have to be careful that the use of a hash function h does not weaken the security of the signature scheme, for it is the message digest that is signed, not the message. It will be necessary for h to satisfy certain properties in order to prevent various forgeries. In order to prevent various type of attack, we require that hash function satisfy collision-free property. In section 1, we introduce some definitions and collision-free properties of hash function. In section 2, we study a discrete log hash function and introduce the main theorem as follows : Theorem Suppose $h:X{\rightarrow}Z$ is a hash function. For any $z{\in}Z$, let $$h^{-1}(z)={\lbrace}x:h(x)=z{\rbrace}$$ and denote $s_z={\mid}h^{-1}(z){\mid}$. Define $$N={\mid}{\lbrace}{\lbrace}x_1,x_2{\rbrace}:h(x_1)=h(x_2){\rbrace}{\mid}$$. Then (1) $\sum\limits_{z{\in}Z}s_z={\mid}x{\mid}$ and the mean of the $s_z$'s is $\bar{s}=\frac{{\mid}X{\mid}}{{\mid}Z{\mid}}$ (2) $N=\sum\limits_{z{\in}Z}{\small{s_z}}C_2=\frac{1}{2}\sum\limits_{z{\in}Z}S_z{^2}-\frac{{\mid}X{\mid}}{2}$. (2) $\sum\limits_{z{\in}Z}(S_z-\bar{s})^2=2N+{\mid}X{\mid}-\frac{{\mid}X{\mid}^2}{{\mid}Z{\mid}}$.

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Geometry Transformation in Spatial Domain Using Coefficient Changes in Frequency Domain toward Lightweight Image Encryption (주파수 영역에서의 계수 값 변환에 의한 공간 영역에서의 기하학적 변환과 이를 이용한 이미지 경량 암호화)

  • Joo, Jeong Hyun;Yi, Kang
    • Journal of KIISE
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    • v.42 no.2
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    • pp.162-168
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    • 2015
  • Image data is mostly stored in compressed form because of its huge size. Therefore, a series of cumbersome procedures is required to apply a transformation to image data: decompression, extraction of spatial data, transformation and recompression. In this paper, we employ DCT(Discrete Cosine Transform) coefficients to change the spatial presentation of images. DCT is commonly used in still image compression standards such as JPEG and moving picture compression standards such as MPEG-2, MPEG-4, and H.264. In this paper, we derived mathematically the relationship between the geometry transformation in the spatial domain and coefficient changes in the DCT domain and verified it with images in the JPEG file format. Because of the efficiency of transformation in the frequency domain, our findings can be utilized for light-weight partial image encryption for privacy data protection or entertainment contents protection.

Indirect Adaptive Decentralized Learning Control based Error Wave Propagation of the Vertical Multiple Dynamic Systems (수직다물체시스템의 오차파형전달방식 간접적응형 분산학습제어)

  • Lee Soo-Cheol
    • Proceedings of the Korea Society for Industrial Systems Conference
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    • 2006.05a
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    • pp.211-217
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    • 2006
  • The learning control develops controllers that learn to improve their performance at executing a given task, based on experience performing this specific task. In a previous work, the authors presented an iterative precision of linear decentralized learning control based on p-integrated learning method for the vertical dynamic multiple systems. This paper develops an indirect decentralized learning control based on adaptive control method. The original motivation of the teaming control field was teaming in robots doing repetitive tasks such as on an assembly line. This paper starts with decentralized discrete time systems, and progresses to the robot application, modeling the robot as a time varying linear system in the neighborhood of the nominal trajectory, and using the usual robot controllers that are decentralized, treating each link as if it is independent of any coupling with other links. Error wave propagation method will show up in the numerical simulation for five-bar linkage as a vertical dynamic robot. The methods of learning system are shown up for the iterative precision of each link at each time step in repetition domain. Those can be helped to apply to the vertical multiple dynamic systems for precision quality assurance in the industrial robots and medical equipments.

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DEVS Simulation of Spam Voice Signal Detection in VoIP Service (VoIP 스팸 콜 탐지를 위한 음성신호의 DEVS 모델링 및 시뮬레이션)

  • Kim, Ji-Yeon;Kim, Hyung-Jong;Cho, Young-Duk;Kim, Hwan-Kuk;Won, Yoo-Jae;Kim, Myuhng-Joo
    • Journal of the Korea Society for Simulation
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    • v.16 no.3
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    • pp.75-87
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    • 2007
  • As the VoIP service quality is getting better and many shortcomings are being overcome, users are getting interested in this service. Also, there are several additional features that provide a convenience to users such as presence service, instant messaging service and so on. But, as there are always two sides of rein, some security issues have users hesitate to make use of it. This paper deals with one of the issues, the VoIP spam problem. We took into account the signal pattern of voice message in spam call and we have constructed voice signal models of normal call, normal call with noise and spam call. Each voice signal case is inserted into our spam decision algorithm which detects the spam calls based on the amount of information in the call signal. We made use of the DEVS-$Java^{TM}$ for our modeling and simulation. The contribution of this work is in suggestion of a way to detect voice spam call signal and testing of the method using modeling and simulation methodology.

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Design of MPEG-2 Video Decoder Compliance Test Bitstreams (MPEG-2 비디오 디코더 적합성 검사용 비트열의 제작)

  • Kim, Chul-Min;Lee, Byung-Uk;Park, Rae-Hong
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.36S no.10
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    • pp.83-93
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    • 1999
  • In MPEG-2 video standard, there are many parameters to support profiles and levels. It is necessary to verify that a decoder is compliant with the MPEG-2 standard. This paper proposes a design principle of the test bitstreams which confirms that an MPEG video decoder is correct by observing the final image of the decoder under test. The presented test bitstream is composed of two parts. The first part generates a test pattern by varying a selected test parameter. And the following predictive coded picture generates a complementary pattern to the previous image by motion compensation and DCT coefficients. Then it will result in a uniform pattern. We present several bitstreams following the proposed principle. Also we analyze and compare the characteristics of the test bitstreams presented in the MPEG conformance test and the proposed test bistreams.

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Performance Analysis of Priority Scheme in the IEC/ISA Fieldbus (IEC/ISA 필드버스의 우선 순위 성능 분석)

  • Hong, Seung-Ho;Ko, Seong-Jun
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.35S no.10
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    • pp.94-117
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    • 1998
  • This paper investigates the performance characteristics of the data link layer of the 1996 version of IEC/ISA fieldbus which is developed as internatioal standard of fieldbus. A discrete-event simulation model of the data link layer of IEC/ISA fieldbus is developed. Using the simulation model, this paper identifies the network parameters that influence the performance of prioritys scheme and real-time data transmission, and analyzes the delay performance of IEC/ISA fieldbus with respect to the change of network parameters. The simulation model also integrates continuous-time simulation model of a control system as application process. Using the integrated simulation model, this study investigates the effect of network-induced delay on the performance of control system. Since the simulation model developed in this study can predict the network performance, it will be effectively utilized in the design phase of control and automation systems that adopt the IEC/ISA fieldbus.

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Study on Image Distortions and Bit-rate Changes Induced by Watermark based-on $4{\times}4$ DCT of H.264/AVC (H.264/AVC의 $4{\times}4$ DCT기반 워터마크에 따른 영상왜곡과 비트율 변화에 대한 연구)

  • Kim, Sung-Min;Won, Chee-Sun
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.42 no.5 s.305
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    • pp.115-122
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    • 2005
  • There are some problems in directly applying the conventional MPEG bit-stream based watermarking schemes to the bit-stream of a new compression standard, H.264/AVC. In this paper we analyze the effects of the conventional DCT-based watermarking scheme to H.264/AVC, especially in terms of image distortions and bit-rate changes. It turns out that the intra-frame prediction md CAVLC of H.264/AVC with the watermarking worsen the image distortions and bit-rate changes. The experiment results show on average 28.17dB decrease in PSNR and 56.71% increase in bit-rate over all QPs.

Adaptive Contrast Enhancement in DCT Domain (DCT영역에서의 적응적 대비 개선에 관한 연구)

  • Jeon, Yong-Joon;Eom, Min-Young;Choe, Yoon-Sik
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.42 no.5 s.305
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    • pp.73-78
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    • 2005
  • Images coded by DCT based compression contain several quality degradations by quantization process. Among them contrast distortion is the important one because human eyes are sensitive to contrast. In case of low bit-rate coded image, we can not get an image having good quality due to quantization error. In this paper, we suggest a new scheme to enhance image's contrast in DCT domain. Proposed method enhances only edge regions. Homogeneous regions are not considered in this method. $8{\times}8$ DCT coefficient blocks are decomposed to $4{\times}4$ sub-blocks for detail edge region discrimination. we could apply this scheme to real-time application because proposed scheme is DCT based method.