• Title/Summary/Keyword: 양자 정보

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Prediction Model for Deviant Hacking Behavior and Hacking Type in Hackers Based on Psychological Variable (해커들의 심리변인에 기반한 탈선적 해킹활동 및 해킹타입 예측 모델)

  • Park, Chan Hyun;Song, In Uk;Kim, Min Ji;Chang, Eun Hee;Heo, Jun;Kim, Hyun Taek
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.41 no.4
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    • pp.489-498
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    • 2016
  • Despite the extant quantum communication technology that does not allow copying, wiretapping, and/or monitoring, cyber-terror-attempts from hackers with unconscientious purposes and motives are prospected to persist. Hence, it is imperative and necessary to invest in studies geared toward understanding the psychology of hackers. The current study referred to Beebe & Clark (2006) and sought out the psychological variables in hackers involved in deviant hacking activities, measured the purpose of hacking and actual hacking experiences, and constructed a predictive model that can categorize hacker types based on their intentions.

Shape control of ZnO thin films and nanorods grown by metalorganic chemical vapor deposition (MOCVD 법으로 저온에서 성장한 ZnO 박막과 나노구조의 모양변화)

  • Kim, Dong-Chan;Kong, Bo-Hyun;Kim, Young-Yi;Jun, Sang-Ouk;An, Cheal-Hyoun;Cho, Hyung-Koun
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2006.11a
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    • pp.21-21
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    • 2006
  • 21세기 정보통신 및 관련 소재의 연구방향은 새로운 기능성 확보, 극한적 제어성, 복합 및 융합이라는 경향으로 발전해 가고 있다. 반도체 기술 분야에서 현재의 공정적 한계를 극복하고 새로운 기능성을 부여하기 위해 나노 합성과 배열을 기본으로 하여 bottom-up 방식의 나노소자 구현이 큰 주목을 받고 있다. 나노선의 경우 나노 스케일의 dimension, 양자 제한 효과, 우수한 결정성, self-assembly, internal stress 등 기존 벌크형 소재에서 발견할 수 없는 새로운 기능성이 나타나고 있어 바이오, 에너지, 구조, 전자, 센서 등의 분야에서의 활용이 가능하다. 현재 국내외적으로 반도체 나노선으로 널리 연구되고 있는 재료는 ZnO, $SnO_2$, SiC 등이 중심이 되고 있다. 이중 ZnO 나 노선의 합성을 위해서는 thermal CVD, MOCVD, PLD, wet-chemical 등 다양한 방법이 사용되고 있다. 특히 MOCVD 방법에 의해 수직 정렬된 ZnO 나노막대를 성장할 수 있다. 이러한 나노막대는 MO 원료 및 산소 공급량을 적절히 제어함으로서 수직 배향 및 나노선의 구경 제어가 가능하며, 나노 막대의 크기 제어와 관련해서는 반응 관내의 DEZn 와 $O_2$의 양을 변화시켜 구조체의 크기를 수 십 ~ 수 백 나노미터의 크기로 제어할 수 있다. 본 연구는 이러한 ZnO 나노선의 성장과정에서 $210^{\circ}C$ 이하의 저온에서 성장한 ZnO 버퍼층을 이용해 나노구조의 형상을 제어하고자 하였다. 특히 ZnO 저온 버퍼층의 두께에 따라 나노막대의 직경변화, 수직배향성, 형상변화의 제어가 가능하였다. 나노막대의 특성 평가는 TEM, SEM, PL, XRD 등을 이용하여 구조적, 결정학적, 광학적 특성을 분석하였다.

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Fabrication of Nanoporous Alumina Mask and its Applications (나노다공성 알루미나 마스크의 제조 및 응용)

  • Jung, Mi;Choi, Jeong-Woo;Kim, Young-Kee;Oh, Byung-Ken
    • Korean Chemical Engineering Research
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    • v.46 no.3
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    • pp.465-472
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    • 2008
  • Fabrication of nanostructured materials and synthesis of nanomaterials have intensively studied to realize electronic devices for nanotechnology. By using nanoporous alumina mask, nanostructured material can be fabricated in the form of uniform array. The size and the density of the nanostructured materials can be controllable by changing the pore diameter and the density of the alumina mask. This method is possible low cost and on large scale process, and feasible to contribute the fusion technology consisting of information technology, nanotechnology, and biotechnology. Therefore, these techniques provide alternative approaches for development of new electronic applications. In this paper, the fabrication technique and its applications of nanoporous alumina mask are described and nanostructured materials such as quantum dots, nanoholes, and nanorods are introduced.

Performance Analysis on Various Design Issues of Quasi-Cyclic Low Density Parity Check Decoder (Quasi-Cyclic Low Density Panty Check 복호기의 다양한 설계 관점에 대한 성능분석)

  • Chung, Su-Kyung;Park, Tae-Geun
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.46 no.11
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    • pp.92-100
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    • 2009
  • In this paper, we analyze the hardware architecture of Low Density Parity Check (LDPC) decoder using Log Likelihood Ration-Belief Propagation (LLR-BP) decoding algorithm. Various design issues that affect the decoding performance and the hardware complexity are discussed and the tradeoffs between the hardware complexity and the performance are analyzed. The message data for passing error probability is quantized to 7 bits and among them the fractional part is 4 bits. To maintain the decoding performance, the integer and fractional parts for the intrinsic information is 2 bits and 4 bits respectively. We discuss the alternate implementation of $\Psi$(x) function using piecewise linear approximation. Also, we improve the hardware complexity and the decoding time by applying overlapped scheduling.

Transportation Network Data Generation from the Topological Geographic Database (GIS위상구조자료로부터 교통망자료의 추출에 관한 연구)

  • 최기주
    • Spatial Information Research
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    • v.2 no.2
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    • pp.147-163
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    • 1994
  • This paper presents three methods of generating the transportation network data out of the topological geographic database in the hope that the conversion of the geographic database file containing the topology to the conventional node-link type trans¬portation network file may facilitate the integration between transportation planning mod¬els and GIS by alleviating the inherent problems of both computing environments. One way of the proposed conversion method is to use the conversion software that allows the bi-directional conversion between the UTPS (Urban Transportation Planning System) type transportation planning model and GIS. The other two methods of data structure conversion approach directly transform the GIS's user-level topology into the transportation network data topology, and have been introduced with codes programmed with FORTRAN and AML (Arc Macro Language) of ARC/INFO. If used successfully, any approach would not only improve the efficiency of transportation planning process and the associated decision-making activities in it, but enhance the productivity of trans¬portation planning agencies.

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A New Fast Training Algorithm for Vector Quantizer Design (벡터양자화기의 코드북을 구하는 새로운 고속 학습 알고리듬)

  • Lee, Dae-Ryong;Baek, Seong-Joon;Sung, Koeng-Mo
    • The Journal of the Acoustical Society of Korea
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    • v.15 no.5
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    • pp.107-112
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    • 1996
  • In this paper we propose a new fast codebook training algorithm for reducing the searching time of LBG algorithm. For each training data, the proposed algorithm stores the indexes of codewords that are close to that training data in the first iteration. It reduces computation time by searching only those codewords, the indexes of which are stored for each training data. Compared to one of the previous fast training algorithm, FSLBG, it obtains a better codebook with less exccution time. In our experiment, the performance of the codebook generated by the proposed algorithm in terms of peak signal-to-noise ratio(TSNR) is very close to that of LBG algorithm. However, the codewords to be searched for each training data of the proposed algorithm is only about 6%, for a codebook size of 256 and 1.6%, for a codebook size of 1.24, of LBG algorithm.

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Speaker Identification Using Higher-Order Statistics In Noisy Environment (고차 통계를 이용한 잡음 환경에서의 화자식별)

  • Shin, Tae-Young;Kim, Gi-Sung;Kwon, Young-Uk;Kim, Hyung-Soon
    • The Journal of the Acoustical Society of Korea
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    • v.16 no.6
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    • pp.25-35
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    • 1997
  • Most of speech analysis methods developed up to date are based on second order statistics, and one of the biggest drawback of these methods is that they show dramatical performance degradation in noisy environments. On the contrary, the methods using higher order statistics(HOS), which has the property of suppressing Gaussian noise, enable robust feature extraction in noisy environments. In this paper we propose a text-independent speaker identification system using higher order statistics and compare its performance with that using the conventional second-order-statistics-based method in both white and colored noise environments. The proposed speaker identification system is based on the vector quantization approach, and employs HOS-based voiced/unvoiced detector in order to extract feature parameters for voiced speech only, which has non-Gaussian distribution and is known to contain most of speaker-specific characteristics. Experimental results using 50 speaker's database show that higher-order-statistics-based method gives a better identificaiton performance than the conventional second-order-statistics-based method in noisy environments.

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Establishment of Correspondent points and Sampling Period Needed to Estimate Object Motion Parameters (운동물체의 파라미터 추정에 필요한 대응점과 샘플링주기의 설정)

  • Jung, Nam-Chae;Moon, Yong-Sun;Park, Jong-An
    • The Journal of the Acoustical Society of Korea
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    • v.16 no.5
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    • pp.26-35
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    • 1997
  • This paper deals with establishing correspondent points of feature pints and sampling period when we estimate object motion parameters from image information of freely moving objects in space of gravity-free state. Replacing the inertial coordinate system with the camera coordinate system which is equipped within a space robot, it is investigated to be able to analyze a problem of correspond points from image information, and to obtain sequence of angular velocity $\omega$ which determine a motion of object by means of computer simulation. And if a sampling period ${\Delta}t$ is shortened, the relative errors of angular velocity are increased because the relative errors against moving distance of feature points are increased by quantization. In reverse, if a sampling period ${\Delta}t$ is lengthened too much, the relative error are likewise increased because a sampling period is long for angular velocity to be approximated, and we confirmed the precision that grows according to ascending of resolution.

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A Reduced Complexity Post Filter to Simultaneously Reduce Blocking and Ringing Artifacts of Compressed Video Sequence (압축동영상의 블록화 및 링 현상 제거를 위한 저 계산량 Post필터)

  • Hong, Min-Cheol;Cha, Hyeong-Tae;Han, Heon-Su
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.38 no.6
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    • pp.665-674
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    • 2001
  • In this paper, a reduced complexity fillet to simultaneously suppress the blocking and ringing artifacts of compressed video sequence is addressed. A new one dimensional regularized function to incorporate the smoothness to its neighboring pixels into the solution is defined, resulting in very low complexity filter The proposed regularization function consists of two sub-functions that combine local data fidelity and local smoothing constraints. The regularization parameters to control the trade-off between the local fidelity to the data and the smoothness are determined by available overhead information in decoder, such as maroc-block type and quantization step size. In addition, the regularization parameters are designed to have the limited range and stored as look-up-table, and therefore, the computational cost to determine the parameters can be reduced. The experimental results show the capability and efficiency of the proposed algorithm.

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Beamforming and User Scheduling for Device-to-Device Underlaying Cellular Networks (셀룰러 네트워크에서 D2D 통신을 고려한 빔 형성 및 스케줄링 기법)

  • Park, Sung-Soo;Bang, Keuk-Joon;Hong, Dae-Sik
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.49 no.2
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    • pp.9-16
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    • 2012
  • In this paper, the beamforming and user scheduling scheme for device-to-device (D2D) underlaying celullar networks with partial channel state information is investigated. In the proposed scheme, cellular users whose channels are nearly orthogonal to the channel between base station and D2D receiver are selected for unitary beamforming so as to minimize the interference to the D2D receiver. The interference caused by underlaying D2D communication can be minimized by reducing the D2D transmitter's transmission power. To enhance the cellular users' throughput further, we also investigate codebook generation method in which each code vector belongs to multiple unitary code matrices. From simulation results, we show that the proposed beamforming and user scheduling scheme mitigates D2D interference to the cellular networks and the codebook generation method improves cellular users' throughput.