• 제목/요약/키워드: Internet Based Laboratory

검색결과 491건 처리시간 0.027초

Majorization-Minimization-Based Sparse Signal Recovery Method Using Prior Support and Amplitude Information for the Estimation of Time-varying Sparse Channels

  • Wang, Chen;Fang, Yong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제12권10호
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    • pp.4835-4855
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    • 2018
  • In this paper, we study the sparse signal recovery that uses information of both support and amplitude of the sparse signal. A convergent iterative algorithm for sparse signal recovery is developed using Majorization-Minimization-based Non-convex Optimization (MM-NcO). Furthermore, it is shown that, typically, the sparse signals that are recovered using the proposed iterative algorithm are not globally optimal and the performance of the iterative algorithm depends on the initial point. Therefore, a modified MM-NcO-based iterative algorithm is developed that uses prior information of both support and amplitude of the sparse signal to enhance recovery performance. Finally, the modified MM-NcO-based iterative algorithm is used to estimate the time-varying sparse wireless channels with temporal correlation. The numerical results show that the new algorithm performs better than related algorithms.

Storage Feature-Based Watermarking Algorithm with Coordinate Values Preservation for Vector Line Data

  • Zhou, Qifei;Ren, Na;Zhu, Changqing;Tong, Deyu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제12권7호
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    • pp.3475-3496
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    • 2018
  • Most of current watermarking algorithms for GIS vector data embed copyright information by means of modifying the coordinate values, which will do harm to its quality and accuracy. To preserve the fidelity of vector line data and protect its copyright at the same time, a lossless watermarking algorithm is proposed based on storage feature in this paper. Firstly, the superiority of embedding watermark based on storage feature is demonstrated theoretically and technically. Then, the basic concepts and operations on storage feature have been defined including length and angle of the polyline feature. In the process of embedding watermark, the watermark information is embedded into directions of polyline feature by the quantitative mechanism, while the positions of embedding watermark are determined by the feature length. Hence, the watermark can be extracted by the same geometric features without original data or watermark. Finally, experiments have been conducted to show that coordinate values remain unchanged after embedding watermark. Moreover, experimental results are presented to illustrate the effectiveness of the method.

A Novel Bio-inspired Trusted Routing Protocol for Mobile Wireless Sensor Networks

  • Zhang, Mingchuan;Xu, Changqiao;Guan, Jianfeng;Zheng, Ruijuan;Wu, Qingtao;Zhang, Hongke
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제8권1호
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    • pp.74-90
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    • 2014
  • Routing in mobile wireless sensor networks (MWSNs) is an extremely challenging issue due to the features of MWSNs. In this paper, we present a novel bio-inspired trusted routing protocol (B-iTRP) based on artificial immune system (AIS), ant colony optimization (ACO) and Physarum optimization (PO). For trust mechanism, B-iTRP monitors neighbors' behavior in real time and then assesses neighbors' trusts based on AIS. For routing strategy, each node proactively finds routes to the Sink based on ACO. When a backward ant is on the way to return source, it senses the energy residual and trust value of each node on the discovered route, and calculates the link trust and link energy of the route. Moreover, B-iTRP also assesses the availability of route based on PO to maintain the route table. Simulation results show how B-iTRP can achieve the effective performance compared to existing state-of-the-art algorithms.

A Novel Image Segmentation Method Based on Improved Intuitionistic Fuzzy C-Means Clustering Algorithm

  • Kong, Jun;Hou, Jian;Jiang, Min;Sun, Jinhua
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권6호
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    • pp.3121-3143
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    • 2019
  • Segmentation plays an important role in the field of image processing and computer vision. Intuitionistic fuzzy C-means (IFCM) clustering algorithm emerged as an effective technique for image segmentation in recent years. However, standard fuzzy C-means (FCM) and IFCM algorithms are sensitive to noise and initial cluster centers, and they ignore the spatial relationship of pixels. In view of these shortcomings, an improved algorithm based on IFCM is proposed in this paper. Firstly, we propose a modified non-membership function to generate intuitionistic fuzzy set and a method of determining initial clustering centers based on grayscale features, they highlight the effect of uncertainty in intuitionistic fuzzy set and improve the robustness to noise. Secondly, an improved nonlinear kernel function is proposed to map data into kernel space to measure the distance between data and the cluster centers more accurately. Thirdly, the local spatial-gray information measure is introduced, which considers membership degree, gray features and spatial position information at the same time. Finally, we propose a new measure of intuitionistic fuzzy entropy, it takes into account fuzziness and intuition of intuitionistic fuzzy set. The experimental results show that compared with other IFCM based algorithms, the proposed algorithm has better segmentation and clustering performance.

Efficient Implementation of a Pseudorandom Sequence Generator for High-Speed Data Communications

  • Hwang, Soo-Yun;Park, Gi-Yoon;Kim, Dae-Ho;Jhang, Kyoung-Son
    • ETRI Journal
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    • 제32권2호
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    • pp.222-229
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    • 2010
  • A conventional pseudorandom sequence generator creates only 1 bit of data per clock cycle. Therefore, it may cause a delay in data communications. In this paper, we propose an efficient implementation method for a pseudorandom sequence generator with parallel outputs. By virtue of the simple matrix multiplications, we derive a well-organized recursive formula and realize a pseudorandom sequence generator with multiple outputs. Experimental results show that, although the total area of the proposed scheme is 3% to 13% larger than that of the existing scheme, our parallel architecture improves the throughput by 2, 4, and 6 times compared with the existing scheme based on a single output. In addition, we apply our approach to a $2{\times}2$ multiple input/multiple output (MIMO) detector targeting the 3rd Generation Partnership Project Long Term Evolution (3GPP LTE) system. Therefore, the throughput of the MIMO detector is significantly enhanced by parallel processing of data communications.

ATM 기반 MPLS LER에서 패킷 필터링 기능을 지원하기 위한 포워딩 엔진 제어 기법 (A Control Scheme of Forwarding Engines for Supporting Packet Filtering in ATM-based MPLS LER)

  • 박재형;윤현정;전병천
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2001년도 추계학술발표논문집 (하)
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    • pp.1279-1282
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    • 2001
  • 최근 인터넷의 급속한 사용 증가로 인해 전송 링크의 광대역 지원과 멀티미디어 트래픽의 QoS 보장 문제, 향상된 IP 서비스의 제공 문제 해결은 필수적이다. MPLS 기술은 IP의 유연성과 확장성을 제공할 수 있는 패러다임의 하나이다. MPLS 망의 경계에 위치하는 LER 은 링크 계층 뿐만 아니라 IP 계층에서도 패킷을 전달해야 한다. 본 논문에서는 하드웨어 포워딩 엔진을 갖는 MPLS LER에서, 패킷 필터링 기능을 지원하기 위해서 포워딩 엔진을 제어하기 위한 기법에 대해서 기술한다. 이러한 패킷 필터링 기능은 MPLS LER에 firewall 기능을 제공하는데 응용될 수 있다.

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EV-DO 하향링크 커버리지 기반 섹터별 평균 Throughput 계산 기법 구현 (Implementation of the Estimation of EV-DO Forward Link Average Throughput based on Service Area Coverage)

  • 이오용;정현민;이성춘
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2008년도 하계종합학술대회
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    • pp.349-350
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    • 2008
  • Average throughput estimation of EV-DO forward link is implemented on the basis of the serving coverage area per sector instead of time consuming and complicated Monte Carlo simulation. For the implementation of this analysis function in cell planning tool, $CellTREK^{(R)}$, developed by KT, both SNR vs. DRC mapping table and receiver sensitivity are suggested as the satisfying criteria to be satisfied above each threshold level simultaneously.

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MPLS 기반 L2/L3 VPN 서비스를 위한 QoS 지원 방안 (QoS Supporting Plan for MPLS based L2 & L3 VPN Service)

  • 윤호선;김영희;양선희
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2002년도 추계학술발표논문집 (중)
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    • pp.1245-1248
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    • 2002
  • 인터넷 사용의 급속한 증가와 다양한 서비스에 대한 요구사항을 수용하기 위해서 가입자망과 백본망 사이에 위치한 메트로망의 진화에 관심이 집중되고있다. 메트로망의 병목 현상을 해결하기 위한 방법중의 하나로 MPLS 를 이용하는 해결책이 제안되고 있으며 이에 대한 연구가 활발히 진행되고 있다. 메트로망에서 MPLS를 활용하는 경우, 2 계층 VPN 서비스를 제공하기 위해서 Martini가 제안한 방식이 사용될 수 있으며, 3 계층 VPN 서비스를 제공하기 위해서는 RFC 2547 방식이 이용될 수 있다. 본 논문에서는 메트로망에서 VPN 서비스를 제공하기 위한 MPLS 기반 2 계층 및 3 계층 VPN 서비스를 위한 기능 모델과 QoS 모델을 정의하고, 정의된 QoS 모델을 지원하기 위한 포워딩 정보를 생성하는 절차에 대해서 기술한다.

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Adaptive Weight Collaborative Complementary Learning for Robust Visual Tracking

  • Wang, Benxuan;Kong, Jun;Jiang, Min;Shen, Jianyu;Liu, Tianshan;Gu, Xiaofeng
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권1호
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    • pp.305-326
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    • 2019
  • Discriminative correlation filter (DCF) based tracking algorithms have recently shown impressive performance on benchmark datasets. However, amount of recent researches are vulnerable to heavy occlusions, irregular deformations and so on. In this paper, we intend to solve these problems and handle the contradiction between accuracy and real-time in the framework of tracking-by-detection. Firstly, we propose an innovative strategy to combine the template and color-based models instead of a simple linear superposition and rely on the strengths of both to promote the accuracy. Secondly, to enhance the discriminative power of the learned template model, the spatial regularization is introduced in the learning stage to penalize the objective boundary information corresponding to features in the background. Thirdly, we utilize a discriminative multi-scale estimate method to solve the problem of scale variations. Finally, we research strategies to limit the computational complexity of our tracker. Abundant experiments demonstrate that our tracker performs superiorly against several advanced algorithms on both the OTB2013 and OTB2015 datasets while maintaining the high frame rates.

An ICN In-Network Caching Policy for Butterfly Network in DCN

  • Jeon, Hongseok;Lee, Byungjoon;Song, Hoyoung;Kang, Moonsoo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제7권7호
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    • pp.1610-1623
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    • 2013
  • In-network caching is a key component of information-centric networking (ICN) for reducing content download time, network traffic, and server workload. Data center network (DCN) is an ideal candidate for applying the ICN design principles. In this paper, we have evaluated the effectiveness of caching placement and replacement in DCN with butterfly-topology. We also suggest a new cache placement policy based on the number of routing nodes (i.e., hop counts) through which travels the content. With a probability inversely proportional to the hop counts, the caching placement policy makes each routing node to cache content chunks. Simulation results lead us to conclude (i) cache placement policy is more effective for cache performance than cache replacement, (ii) the suggested cache placement policy has better caching performance for butterfly-type DCNs than the traditional caching placement policies such as ALWASYS and FIX(P), and (iii) high cache hit ratio does not always imply low average hop counts.