• Title/Summary/Keyword: 랜덤

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Cleaning Robot Algorithm through Human-Robot Interaction (사람과 로봇의 상호작용을 통한 청소 로봇 알고리즘)

  • Kim, Seung-Yong;Kim, Tae-Hyung
    • Journal of KIISE:Software and Applications
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    • v.35 no.5
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    • pp.297-305
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    • 2008
  • We present a cleaning robot algorithm that can be implemented on low-cost robot architecture while the cleaning performance far exceeds the conventional random style cleaning through human-robot interaction. We clarify the advantages and disadvantages of the two notable cleaning robot styles: the random and the mapping styles, and show the possibility how we can achieve the performance of the complicated mapping style under the random style-like robot architecture using the idea of human-aided cleaning algorithm. Experimental results are presented to show the performance.

Dynamic Control of Random Constant Spreading Worm Using the Power-Law Network Characteristic (멱함수 네트워크 특성을 이용한 랜덤확산형 웜의 동적 제어)

  • Park Doo-Soon;No Byung-Gyu
    • Journal of Korea Multimedia Society
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    • v.9 no.3
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    • pp.333-341
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    • 2006
  • Recently, Random Constant worm is increasing The worm retards the availability of the overall network by exhausting resources such as CPU resource and network bandwidth, and damages to an uninfected system as well as an infected system. This paper analyzes the Power-Law network which possesses the preferential characteristics to restrain the worm from spreading. Moreover, this paper suggests the model which dynamically controls the spread of the worm using information about depth distribution of the delivery node which can be seen commonly in such network. It has also verified that the load for each node was minimized at the optimal depth to effectively restrain the spread of the worm by a simulation.

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Compensation for the Distorted WDM Channels in the Long-Haul Transmission Link with the Randomly Distributed SMF Lengths and RDPS (SMF 길이와 RDPS가 랜덤하게 분포하는 장거리 전송 링크에서의 왜곡된 WDM 채널의 보상)

  • Lee, Seong-Real
    • Journal of Advanced Navigation Technology
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    • v.19 no.4
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    • pp.323-329
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    • 2015
  • The compensation characteristics of the distorted WDM channels compensated for by dispersion management (DM) and optical phase conjugation in the long-haul ($50\;fiber\;spans{\times}80km$) transmission link with the randomly distributed single mode fiber (SMF) length and residual dispersion per spans (RDPS) for implementing of the flexible link configuration are investigated. It is confirmed that the compensation effect in the link with the randomly distributed SMF length and RDPS is similar with that in the link with the uniform distribution, when the launch power of WDM channels are restricted within 0 dBm. This result means that the proposed link configuration is useful for designing and deploying the long-haul WDM transmission link.

Performance Analysis of Reed Solomon/Convolutional Concatenated Codes and Turbo code using Semi Random Interleaver over the Radio Communication Channel (무선통신 채널에서 RS/길쌈 연쇄부호와 세미 랜덤 인터리버를 이용한 터보코드의 성능 분석)

  • 홍성원
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.5 no.5
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    • pp.861-868
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    • 2001
  • In this paper, the performance of Reed Solomon(RS)/convolution리 concatenated codes and turbo code using semi random interleaver over the radio communication channel was analyzed. In the result, we proved that the performance of decoder was excellent as increase the interleaver size, constraint length, and iteration number. When turbo code using semi random interleaver and Hsiconvolutional concatenated codes was constant constraint length L=5, BER=10-4 , each value of $E_b/N_o$ was 4.5〔dB〕 and 2.95〔dB〕. Therefore, when the constraint length was constant, we proved that the performance of turbo code is superior to RS/Convolutional concatenated codes about 1.55〔dB〕 in the case of BER=10-4.

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Blind Equalizer Algorithms using Random Symbols and Decision Feedback (랜덤 심볼열과 결정 궤환을 사용한 자력 등화 알고리듬)

  • Kim, Nam-Yong
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.13 no.1
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    • pp.343-347
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    • 2012
  • Non-linear equalization techniques using decision feedback structure are highly demanded for cancellation of intersymbol interferences occurred in severe channel environments. In this paper decision feedback structure is applied to the linear blind equalizer algorithm that is based on information theoretic learning and a randomly generated symbol set. At the decision feedback equalizer (DFE) the random symbols are generated to have the same probability density function (PDF) as that of the transmitted symbols. By minimizing difference between the PDF of blind DFE output and that of randomly generated symbols, the proposed DFE algorithm produces equalized output signal. From the simulation results, the proposed method has shown enhanced convergence and error performance compared to its linear counterpart.

A Random Access Scheme Robust to Timing Offsets for Uplink OFDMA Systems (타이밍오차에 강건한 상향링크 OFDMA 시스템의 랜덤 액세스 기법)

  • Song, Hyun-Joo;Rim, Dae-Woon;Jeong, Byung-Jang;Noh, Tae-Gyun;Rim, Min-Joong
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.33 no.6A
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    • pp.659-665
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    • 2008
  • If ranging processes are not frequent in an uplink OFDMA system, the timing synchronization between base and mobile stations may not be maintained. Especially in the case of infrequent random accesses in a large cell, timing offsets can be considerable and the destroyed orthogonality of OFDMA signals may result in the degraded performance. This paper proposes a novel random access scheme for uplink OFDMA systems, which support the orthogonality of OFDMA signals with timing offsets by allowing a random access OFDMA symbol shorter than a normal one. In order to make uplink OFDMA systems robust to timing offsets, the proposed scheme inserts a zero-padding region in an OFDMA symbol.

Imputation of Multiple Missing Values by Normal Mixture Model under Markov Random Field: Application to Imputation of Pixel Values of Color Image (마코프 랜덤 필드 하에서 정규혼합모형에 의한 다중 결측값 대체기법: 색조영상 결측 화소값 대체에 응용)

  • Kim, Seung-Gu
    • Communications for Statistical Applications and Methods
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    • v.16 no.6
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    • pp.925-936
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    • 2009
  • There very many approaches to impute missing values in the iid. case. However, it is hardly found the imputation techniques in the Markov random field(MRF) case. In this paper, we show that the imputation under MRF is just to impute by fitting the normal mixture model(NMM) under several practical assumptions. Our multivariate normal mixture model based approaches under MRF is applied to impute the missing pixel values of 3-variate (R, G, B) color image, providing a technique to smooth the imputed values.

Nonparametric procedures using aligned method and joint placement in randomized block design (랜덤화 블록 계획법에서 정렬방법과 결합 위치를 이용한 비모수 검정법)

  • Jo, Sungdong;Kim, Dongjae
    • Journal of the Korean Data and Information Science Society
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    • v.24 no.1
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    • pp.95-103
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    • 2013
  • Nonparametric procedure in randomized block design (RBD) was proposed by Friedman (1937) for general alternatives. Also Page (1963) suggested the test for ordered alternatives in RBD. In this paper, we proposed the new nonparametric method in randomized block design using aligned method suggested by Hodges and Lehmann (1962) and the joint placement described in Chung and Kim (2007). Also, Monte Carlo simulation study was adapted to compare the power of the proposed procedure with those of previous procedure.

Dynamic Opportunistic Interference Alignment for Random-Access Small-Cell Networks (랜덤 엑세스 스몰셀 무선망에서의 실시간 기회적 간섭정렬 기법 연구)

  • Jeon, Sang-Woon;Shin, Won-Yong
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.39A no.11
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    • pp.675-681
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    • 2014
  • As the recently soaring wireless traffic, small-cell techniques have been actively studied in order to support such a wireless demand for cellular wireless networks. This paper studies interference mitigation methods for random-access small-cell networks. Although inter-cell interference between small random-access cells is one of the main factors to degrade overall performance, most of the previous works focused on interference mitigation between users in each cell. To address such limitation, dynamic opportunistic interference alignment is proposed exploiting statistical characteristics of random-access. It is demonstrated by simulation that the proposed scheme outperforms the previous approach as the number of cells or the number of users in each cell increases.

Moving object segmentation using Markov Random Field (마코프 랜덤 필드를 이용한 움직이는 객체의 분할에 관한 연구)

  • 정철곤;김중규
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.27 no.3A
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    • pp.221-230
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    • 2002
  • This paper presents a new moving object segmentation algorithm using markov random field. The algorithm is based on signal detection theory. That is to say, motion of moving object is decided by binary decision rule, and false decision is corrected by markov random field model. The procedure toward complete segmentation consists of two steps: motion detection and object segmentation. First, motion detection decides the presence of motion on velocity vector by binary decision rule. And velocity vector is generated by optical flow. Second, object segmentation cancels noise by Bayes rule. Experimental results demonstrate the efficiency of the presented method.