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检索条件"主题词=Adaptive Algorithm"

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adaptive Real-Time Compressive Tracking

Adaptive Real-Time Compressive Tracking

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International Conference on Network and Information Systems for Computers (ICNISC)

作者： Zhang, Wei-zheng Ji, Jian-guo Jing, Zhong-zhao Jing, Wen-feng Zhang, Yi State Grid Henan Elect Power Co Zheng Zhou Power Supply Co Zhengzhou Peoples R China Xi An Jiao Tong Univ Sch Math & Stat Xian Peoples R China

ISBN: (纸本)9781479918430

The real-time compressive tracking algorithm, proposed by Kaihua Zhang etc. in 2012, is real-time and robust. Butthis algorithm may lead to object tracking losing in some complex environments, such as pose variation, illumination change, occlusion, and motion blur etc.. This paper improves the compressive tracking algorithm in two aspects: (1) we propose a self-adaptive method for learning parameter of the compressive tracking algorithm to enhance the robustness;(2) To solve the problem of losing tracking object, we propose a method using cosine algorithm to judge whether the object is lost and retrieve the lost object again. A number of video object tracking experiments show that the improved algorithm is more effective and efficient.

关键词： Video object tracking compressive tracking robustness adaptive algorithm

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Experimental Results of Combined Method of Conventional and Coherent Doppler Sonar

Experimental Results of Combined Method of Conventional and ...

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OCEANS MTS/IEEE Conference

作者： Liu, Peng Kouguchi, Nobuyoshi Kubota, Takashi Kobe Univ Grad Sch Maritime Sci Kobe Hyogo Japan Oshima Coll Natl Inst Technol Yamaguchi Japan

ISBN: (纸本)9780933957435

Conventional (usually used) Doppler sonar, though unlimited by velocity range ambiguity, takes seconds to return valuable velocity readings. Coherent Doppler sonar has been proposed to provide accurate velocity with short time lag for current or turbulent. However the velocity ambiguity seriously limits its general application. In this paper, combined Doppler sonar is proposed to overcome the disadvantages of both conventional and coherent Doppler sonars. An adaptive algorithm is used for combined Doppler sonar to provide accurate and precise velocity information at a wide range of SNRs. Experiments are carried out to evaluate the performance of combined Doppler sonar proposed. Based on experimental results, with suitable ambiguity velocities, combined Doppler sonar can provide accurate and precise velocity information at a wide range of SNRs.

关键词： conventional Doppler sonar coherent Doppler sonar combined Doppler sonars adaptive algorithm

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Data Bundling for Energy Efficient Communication of Wearable Devices 40

Data Bundling for Energy Efficient Communication of Wearable...

引用

IEEE LCN Local Computer Networks Conference on 40th Annual IEEE Conference on Local Computer Networks (LCN 2015)

作者： Sung, Jung-Woong Han, Seung-Jae Yonsei Univ Dept Comp Sci Seoul South Korea

ISBN: (纸本)9781467367707

While wearable devices are equipped with small battery, the amount of data that they send and receive has already exceeded the capacity of the energy efficient link technologies (e.g., Bluetooth Low Energy). Existing higher capacity link (e.g., Bluetooth Classic, WiFi) however requires high connection setup cost. To deal with this dilemma, we propose to bundle multiple data transmission requests and send the aggregated data at once to reduce energy consumption for link setup. Where the concept of bundling has been widely used for cloud storage services, existing schemes do not consider energy efficiency. In this paper, we present three bundling algorithms that try to balance the reduction of energy consumption and the extension of delivery delay by adapting to the current data request pattern. We perform extensive evaluation by using the realistic parameters that are obtained via experimental measurements by using a latest commercial smart watch.

关键词： Wearable Device Data Bundling adaptive algorithm Energy Efficiency

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Reconstruct Dynamic Systems from Large-Scale Open Data 58

Reconstruct Dynamic Systems from Large-Scale Open Data

引用

IEEE Global Telecommunications Conference (GLOBECOM)

作者： Tsai, Kun-Hung Lin, Chia-Yu Wang, Li-Chun Chen, Jian-Ren Natl Chiao Tung Univ Dept Elect & Comp Engn Hsinchu 300 Taiwan Ind Technol Res Inst Taipei Taiwan

ISBN: (纸本)9781479959525

With the prosperity of e-commerce, on-line vendors use recommendation systems in different fields. Classic recommendation algorithms are designed assuming that data is stationary and will not change over time. However, since the scale and variability of data are growing gradually, these methods will encounter the issues of the memory deficient and the out-of-date model, which degrade the recommendation accuracy intensively. In addition, retraining the whole model for every new arrival record results in high complexity. In this paper we propose a light-weight adaptive updating method to overcome these issues. Comparing with the explicit feedback recommendation, which asks the customers to express their opinions on the recommended items, the implicit feedback recommendation is easier to collect and non-intrusive way. However, the dynamic time-variant system with implicit feedback has not been seen in the literature. In this paper, we propose a real-time incremental updating algorithm (RI-SGD) to deal with time-variant systems based on the implicit feedback. We compare our method with methods that retraining the whole model and show that our method costs less than 1% of the retraining time with a competitive accuracy.

关键词： Recommendation System Implicit feedback adaptive algorithm Concept Drift

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A Novel Approach for Jamming and Tracking of Mobile Objects

A Novel Approach for Jamming and Tracking of Mobile Objects

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1st International Conference on Intelligent Computing, Communication and Devices (ICCD)

作者： Misra, Aradhana Rout, Nirmal Kumar Dash, Kaustav KIIT Univ Sch Elect Engn Bhubaneswar Orissa India GITAM Bhubaneswar Orissa India

ISBN: (纸本)9788132220084

An adaptive algorithm called the least mean square (LMS) is employed to study jamming and tracking of mobile objects. The concepts of antenna array, adaptive antenna array and smart antenna have been employed in the proposed method. The focus is on the adaptive jamming technique. The LMS adaptive algorithm is used to reject a particular direction signal. The proposed approach is also used to track the moving object by projecting the main beam towards the target, then estimate its next position and track the object for a known value of Azimuthal and elevation angular position. While estimating the new position of the target by comparing the previous and present value of echo signal, main signal get interference from noise signal. Here, the main objective is to make an algorithm that can track the target, estimate its new position and increase signal to noise ratio of the system. Detailed simulation has been carried out to validate the proposed method using the MATLAB.

关键词： Jamming Tracking LMS adaptive algorithm adaptive filters

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Grid Based adaptive Sleep for Prolonging Network Lifetime in Wireless Sensor Network

Grid Based Adaptive Sleep for Prolonging Network Lifetime in...

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International Conference on Information and Communication Technologies (ICICT)

作者： Nitesh, Kumar Jana, Prasanta K. Indian Sch Mines Dept Comp Sci & Engn Dhanbad 826004 Bihar India

Energy conservation of the sensor nodes is a burning issue and a central problem to the development of a large scale wireless sensor network. Many schemes have been developed to address this problem. However, duty cycling is one of the most efficient schemes for energy saving, which is especially applied for a densely deployed network. In this paper, we propose a novel scheme for duty cycle, which implements an adaptive sleep / wake up strategies in efficient manner. This is an adaptive algorithm which takes decisions on the basis of the current status of the sensor network with the aim of covering each and every activity in the area of interest at each instance of time. The simulation results demonstrate the effectiveness of the algorithm. (C) 2015 The Authors. Published by Elsevier B.V.

关键词： Duty Cycle adaptive algorithm Coverage ratio Network lifetime

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Performance Analysis of Linear Recursive Least Squares adaptive Filter to mitigate Multipath effect

Performance Analysis of Linear Recursive Least Squares Adapt...

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International Symposium on Ocean Electronics (SYMPOL)

作者： Sireesha, N. Chithra, K. Sudhakar, Tata NIOT Madras Tamil Nadu India

ISBN: (纸本)9781509025114

The paper discusses the design, simulation and performance analysis of an adaptive filter based on Recursive Least Squares (RLS) algorithm with the main focus on mitigating the effect of multipath. The underwater acoustic channels are characterized by time-varying multipath propagation with large delay spreads which introduces severe intersymbol interference which can be equalized with the use of an adaptive filter. The filter behaviour is studied by simulating the multipath channel characteristics. The paper also analyzes the performance of the designed RLS adaptive filter in comparison to its Least Mean Square (LMS) counterpart.

关键词： Multipath adaptive algorithm adaptive filter Channel equalization Recursive Least Squares (RLS) Least Mean Square (LMS)

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adaptive CYCLIC AND RANDOMIZED COORDINATE DESCENT FOR THE SPARSE TOTAL LEAST SQUARES PROBLEM 23

ADAPTIVE CYCLIC AND RANDOMIZED COORDINATE DESCENT FOR THE SP...

引用

23rd European Signal Processing Conference (EUSIPCO)

作者： Onose, Alexandru Dumitrescu, Bogdan Univ Politehn Bucuresti Dept Automat Control & Comp 313 Spl Independentei Bucharest 060042 Romania Tampere Univ Technol Dept Signal Proc FIN-33101 Tampere Finland

ISBN: (纸本)9780992862633

Coordinate descent (CD) is a simple and general optimization technique. We use it to solve the sparse total least squares problem in an adaptive manner, working on the l(1)-regularized Rayleigh quotient function. We propose two algorithmic approaches for choosing the coordinates: cyclic and randomized. In both cases, the number of CD steps per time instant is a parameter that can serve as a trade-off between complexity and performance. We present numerical experiments showing that the proposed algorithms can approach stationary error near that of the oracle. The randomized algorithm is slightly better than the cyclic one with respect to convergence speed.

关键词： adaptive algorithm channel identification sparse filter total least squares coordinate descent randomization

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A Particle Swarm Optimization with adaptive Multi-Swarm Strategy for Capacitated Vehicle Routing Problem 1

A Particle Swarm Optimization with Adaptive Multi-Swarm Stra...

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International Conference on Industrial Networks and Intelligent systems(INISCOM)

作者： Chen, Kui-Ting Dai, Yijun Fan, Ke Baba, Takaaki Waseda Univ Res Ctr 2-7 Hibikino Kitakyushu Fukuoka Japan Waseda Univ Grad Sch Informat Prod & Syst Kitakyushu Fukuoka Japan

ISBN: (纸本)9781631900228

Capacitated vehicle routing problem with pickups and deliveries (CVRPPD) is one of the most challenging combinatorial optimization problems which include goods delivery/pickup optimization, vehicle number optimization, routing path optimization and transportation cost minimization. The conventional particle swarm optimization (PSO) is difficult to find an optimal solution of the CVRPPD due to its simple search strategy. A PSO with adaptive multi-swarm strategy (AMSPSO) is proposed to solve the CVRPPD in this paper. The proposed AMSPSO employs multiple PSO algorithms and an adaptive algorithm with punishment mechanism to search the optimal solution, which can deal with large-scale optimization problems. The simulation results prove that the proposed AMSPSO can solve the CVRPPD with the least number of vehicles and less transportation cost, simultaneously.

关键词： multi-swarm particle swarm optimization vehicle routing problem adaptive algorithm

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NOISE CANCELLATION OVER SPATIAL REGIONS USING adaptive WAVE DOMAIN PROCESSING

NOISE CANCELLATION OVER SPATIAL REGIONS USING ADAPTIVE WAVE ...

引用

IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)

作者： Zhang, Jihui Zhang, Wen Abhayapala, Thushara D. Australian Natl Univ Res Sch Engn GPO Box 4 Canberra ACT 2601 Australia Harbin Inst Technol Sch Elect Engn & Automat Harbin 150001 Peoples R China

ISBN: (纸本)9781479974504

This paper proposes wave-domain adaptive processing for noise cancellation within a large spatial region. We use fundamental solutions of the Helmholtz wave-equation as basis functions to express the noise field over a spatial region and show the wave-domain processing directly on the decomposition coefficients to control the entire region. A feedback control system is implemented, where only a single microphone array is placed at the boundary of the control region to measure the residual signals, and a loudspeaker array is used to generate the anti-noise signals. We develop the adaptive wave-domain filtered-x least mean square algorithm. Simulation results show that using the proposed method the noise over the entire control region can be significantly reduced with fast convergence in both free-field and reverberant environments.

关键词： Active noise control adaptive algorithm Feedback system Multi-channel system Wave domain signal processing

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