• Title/Summary/Keyword: Discrete Signal

Search Result 629, Processing Time 0.032 seconds

A Hybrid Watermarking Scheme for Color Images (컬러 영상을 위한 하이브리드 워터마킹)

  • Lee Hyun-Suk;Oktavia Vivi;Kim Mi-Ae;Lee Won-Hyung
    • Journal of Internet Computing and Services
    • /
    • v.5 no.3
    • /
    • pp.73-86
    • /
    • 2004
  • This paper presents a hybrid digital watermarking scheme for color images, We insert two watermarks in the DWT domain using spread-spectrum correlation-based watermarking in luminance component of the color image and in spatial domain using pixel-value substitution of blue channel of color image. The objectives of this paper are to have the watermark robust to common signal processing and to detect any changes on the watermarked image for tamper detection at the same time. This watermark scheme will have the robustness characteristic as typical in frequency domain watermark, and also ability to detect any changes on the image (tamper detection).

  • PDF

A Double Helix DNA Structure Based on the Block Circulant Matrix (I) (블록순환 행렬에 의한 이중나선 DNA 구조 (I))

  • Lee, Sung-Kook;Park, Ju-Yong;Lee, Moon-Ho
    • The Journal of the Institute of Internet, Broadcasting and Communication
    • /
    • v.16 no.3
    • /
    • pp.203-211
    • /
    • 2016
  • The genetic code is a key to bio-informatics and to a science of biological self-organizing on the whole. Modern science faces the necessity of understanding and systematically explaining mysterious features of ensembles of molecular structures of the genetic code. This paper is devoted to symmetrical analysis for genetic systems. Mathematical theories of noise-immunity coding and discrete signal processing are based on Jacket matrix methods of representation and analysis of information. Both of the RNA and Jacket Matrix property also have the Element(Block) - wise Inverse Matrices. These matrix methods, which are connected closely with relations of symmetry, are borrowed for a matrix analysis of ensembles of molecular elements of the genetic code. This method is presented for its simplicity and the clarity with which it decomposes a Jacket Matrix in terms of the genetic RNA Codon.

ICI and Compensation Algorithm against Frequency Offset and Phase Noise in SC-FDMA System with Comb Type Pilot (Comb Type 파일럿을 갖는 SC-FDMA에서 주파수 옵셋과 위상 잡음에 의한 ICI와 보상 알고리즘)

  • Ryu, Sang-Burm;Ryu, Heung-Gyoon
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
    • /
    • v.21 no.4
    • /
    • pp.399-407
    • /
    • 2010
  • SC-FDMA system uses DFT-spreading method for reducing the PAPR of OFDM signal, which improves the power efficiency. Block type pilot is used in SC-FDMA system. However, there are ICI due to the inevitable phase noise and frequency offset that can be generated from the Doppler frequency and inaccuracy between the transceiver oscillators. This ICI definitely degrades the BER performance. To overcome this problem and estimate the channel efficiently, we like to propose ICI compensation algorithm for the SC-FDMA system with comb type pilot. SLM method is additionally included for the PAPR reduction when pilot is assigned in comb type. Finally, it is confirmed that the ICI due to the phase noise and frequency offset is efficiently compensated by the suggested algorithm.

The Redundancy Reduction Using Fuzzy C-means Clustering and Cosine Similarity on a Very Large Gas Sensor Array for Mimicking Biological Olfaction (생물학적 후각 시스템을 모방한 대규모 가스 센서 어레이에서 코사인 유사도와 퍼지 클러스터링을 이용한 중복도 제거 방법)

  • Kim, Jeong-Do;Kim, Jung-Ju;Park, Sung-Dae;Byun, Hyung-Gi;Persaud, K.C.;Lim, Seung-Ju
    • Journal of Sensor Science and Technology
    • /
    • v.21 no.1
    • /
    • pp.59-67
    • /
    • 2012
  • It was reported that the latest sensor technology allow an 65536 conductive polymer sensor array to be made with broad but overlapping selectivity to different families of chemicals emulating the characteristics found in biological olfaction. However, the supernumerary redundancy always accompanies great error and risk as well as an inordinate amount of computation time and local minima in signal processing, e.g. neural networks. In this paper, we propose a new method to reduce the number of sensor for analysis by reducing redundancy between sensors and by removing unstable sensors using the cosine similarity method and to decide on representative sensor using FCM(Fuzzy C-Means) algorithm. The representative sensors can be just used in analyzing. And, we introduce DWT(Discrete Wavelet Transform) for data compression in the time domain as preprocessing. Throughout experimental trials, we have done a comparative analysis between gas sensor data with and without reduced redundancy. The possibility and superiority of the proposed methods are confirmed through experiments.

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
    • /
    • v.22 no.2
    • /
    • pp.162-173
    • /
    • 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 Postfiltering Algorithm for Enhancement in Block-based DCT Compressed Images (블록 기반 DCT 압축 영상의 화질 개선을 위한 후처리 필터링 알고리듬)

  • Kim, Yong-Hun;Jeong, Jong-Hyeog
    • Journal of the Korean Institute of Intelligent Systems
    • /
    • v.24 no.1
    • /
    • pp.22-27
    • /
    • 2014
  • Blocking and ringing artifacts continue to be the most serious defects that occur in images and video streams compressed to low bit rates using block-based discrete cosine transform(DCT) compression standards. These artifacts contain the high frequency components near the block and the edge boundaries. Usually the lowpass filter can remove them. However, simple lowpass filter results into blur by removing important information such as edges at the same time. To overcome these problems, we propose a novel postfiltering algorithm that calculate the weight value based on the intensity similarity in the neighboring pixels and multiply this weight to the Gaussian lowpass filter coefficient. Experimental results show that the proposed technique provides satisfactory performance in both objective and subjective image quality.

Power Semiconductor SMD Package Embedded in Multilayered Ceramic for Low Switching Loss

  • Jung, Dong Yun;Jang, Hyun Gyu;Kim, Minki;Jun, Chi-Hoon;Park, Junbo;Lee, Hyun-Soo;Park, Jong Moon;Ko, Sang Choon
    • ETRI Journal
    • /
    • v.39 no.6
    • /
    • pp.866-873
    • /
    • 2017
  • We propose a multilayered-substrate-based power semiconductor discrete device package for a low switching loss and high heat dissipation. To verify the proposed package, cost-effective, low-temperature co-fired ceramic, multilayered substrates are used. A bare die is attached to an embedded cavity of the multilayered substrate. Because the height of the pad on the top plane of the die and the signal line on the substrate are the same, the length of the bond wires can be shortened. A large number of thermal vias with a high thermal conductivity are embedded in the multilayered substrate to increase the heat dissipation rate of the package. The packaged silicon carbide Schottky barrier diode satisfies the reliability testing of a high-temperature storage life and temperature humidity bias. At $175^{\circ}C$, the forward current is 7 A at a forward voltage of 1.13 V, and the reverse leakage current is below 100 lA up to a reverse voltage of 980 V. The measured maximum reverse current ($I_{RM}$), reverse recovery time ($T_{rr}$), and reverse recovery charge ($Q_{rr}$) are 2.4 A, 16.6 ns, and 19.92 nC, respectively, at a reverse voltage of 300 V and di/dt equal to $300A/{\mu}s$.

Improved variable bits M-ary QT conflict resolution algorithm for discrete m-bits recognition in RFID system (RFID 시스템에서 불연속 m-bits 인식을 위한 개선된 가변비트 M-ary QT 충돌해소 알고리즘)

  • Kim, Kwan-woong;Kim, Byun-gon
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.20 no.10
    • /
    • pp.1887-1894
    • /
    • 2016
  • In the RFID system, the reader transmits a query message to tags in order to identify a unique ID of tags within its detection range. The procedures for arbitrating a collision is essential because the multiple tags can response simultaneously in the same to the query of the Reader. This procedure is known as conflict resolution algorithm and it is a key technology in the RFID system. In this paper, we proposed a variable bits M-ary QT algorithm based on Manchester coding techniques. The proposed algorithm use the location information of the collision bits in the reader and tags. The proposed algorithm can reduce the number of the query-response cycle because it is capable of recognizing discontinuous bits and a variable number of bits. From computer simulation, the proposed method give better performance than the conventional M-ary QT techniques in terms of response, recognition efficiency, communication overhead.

Micro Sensor Away and its Application to Recognizing Explosive Gases (마이크로 센서 어레이 제작 및 폭발성 가스 인식으로의 응용)

  • 이대식;이덕동
    • Journal of the Institute of Electronics Engineers of Korea SD
    • /
    • v.40 no.1
    • /
    • pp.11-19
    • /
    • 2003
  • A micro sensor array with 4 discrete sensors integrated on a microhotplate was developed for identifying the kinds and quantities of explosive gases. The sensor array consisited of four tin oxide-based thin films with the high and broad sensitivity to the tested explosive gases and uniform thermal distribution on the plate. The microhotplate, using silicon substrate with N/O/N membrane, dangling in air by Al bonding wires, and controlling the thickness by chemical mechanical process (CMP), has been designed and fabricated. By employing the sensitivity signal of the sensor array at 40$0^{\circ}C$, we could reliably classily the kinds and quantities of the explosive gases like butan, propane, LPG, and carbon monoxide within the range of threshold limit values (TLVs), employing principal component analysis (PCA).

ECG-based Biometric Authentication Using Random Forest (랜덤 포레스트를 이용한 심전도 기반 생체 인증)

  • Kim, JeongKyun;Lee, Kang Bok;Hong, Sang Gi
    • Journal of the Institute of Electronics and Information Engineers
    • /
    • v.54 no.6
    • /
    • pp.100-105
    • /
    • 2017
  • This work presents an ECG biometric recognition system for the purpose of biometric authentication. ECG biometric approaches are divided into two major categories, fiducial-based and non-fiducial-based methods. This paper proposes a new non-fiducial framework using discrete cosine transform and a Random Forest classifier. When using DCT, most of the signal information tends to be concentrated in a few low-frequency components. In order to apply feature vector of Random Forest, DCT feature vectors of ECG heartbeats are constructed by using the first 40 DCT coefficients. RF is based on the computation of a large number of decision trees. It is relatively fast, robust and inherently suitable for multi-class problems. Furthermore, it trade-off threshold between admission and rejection of ID inside RF classifier. As a result, proposed method offers 99.9% recognition rates when tested on MIT-BIH NSRDB.