For the problem that the location of LBSN users was sparse because of it was updated sporadically. An important place identification method was studied by improving the clustering algorithm. Firstly, a velocity prunin...
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For the problem that the location of LBSN users was sparse because of it was updated sporadically. An important place identification method was studied by improving the clustering algorithm. Firstly, a velocity pruning algorithm was applied to remove interference points from source data. Secondly, clustering algorithm based on density peak named CFSFDP was selected. To solve the problem that it is unable to decide the cluster number with CFSFDP, an improved algorithm was presented. With a cluster center automatic choosing strategy, the algorithm searched for the ‘turning points' with the trends of cluster center weights changing. Then we could regard a set of points which weight is bigger than turning points' as cluster center. As a result, the error brought by ruling in the Decision Graph could be avoided with the strategy. Thirdly, reverse geocoding technology was applied to translate coordinate in semantic place. Check-in data of Foursquare user was set as an example in experiment, the result show that the improved algorithm had higher accuracy rate and lower computation compared to CFSFDP and DBSCAN. It also proved that the feasibility and effectiveness of the method proposed in the paper.
Traffic identification technique is used for classification of different network protocols and applications even with detection of users' network activities. In this paper, we conduct our study on some typical use...
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Traffic identification technique is used for classification of different network protocols and applications even with detection of users' network activities. In this paper, we conduct our study on some typical users' network activities and present a traffic identification method to describe the feature about users' behaviors. We convert users' network activities information into different sequences with frame size and interarrival time just like HMM model does. Then we use latent dirichlet allocation model to extract potential characterization from these activity sequences. We use some machine learning algorithms to classify different activities in the data, and we suggest a method to evaluate the mixed activities within a sequence. Our research shows that it is possible to distinguish exact users' on-line activities without inspection to packet payloads, and users' privacy may need more protection against traffic analysis.
Tunnel moving target detection is subject to the influence of light condition and motion blur, the traditional motion detection method based on pixel points can not be very good at segmenting moving target. To solve t...
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ISBN:
(纸本)9781467390491
Tunnel moving target detection is subject to the influence of light condition and motion blur, the traditional motion detection method based on pixel points can not be very good at segmenting moving target. To solve this problem, frame difference detection method based on local structure of image and gray level information is proposed. The local mean difference information of the image is calculated by the improved algorithm, and then the similarity measure function and the gray scale measure function are constructed. The similarity measure function effectively describes the structural features of moving objects, and reduces the influence of image background information. The gray scale function is better to highlight the contrast of the target brightness, to increase the division of the target area and the background parts, and to realize the moving target detection correctly. The experimental results show that the detection method of the fusion structure and the gray level information can effectively segment the moving object.
Interference alignment(IA) is a promising technique to effectively mitigate interference in wireless communication *** this paper,a novel IA based scheme is proposed,which is jointed design of transmit precoding matri...
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Interference alignment(IA) is a promising technique to effectively mitigate interference in wireless communication *** this paper,a novel IA based scheme is proposed,which is jointed design of transmit precoding matrices and receive beam forming matrices for the three-cell multiple-input multiple-output(MIMO).Gaussian interfering broadcast channels(MIMO-IFBC) with constant channel between each node,where each base station(BS) is equipped with M antennas,each mobile station(MS) is equipped with N antennas on the cell boundary,and each BS sends d data streams to each user in its *** corresponds to a down link scenario for cellular networks,where K users with the user cooperation in each *** is also analytically shown that total 3Kd degrees of freedom(Do F)is achievable if M = N≥*** simulations demonstrate the sum-rate of our proposed scheme also out performs those of conventional techniques,especially in the high signal-to-noise ratio(SNR)regime.
In this paper, we research the relationship between the probabilistic products and customer preferences, which has not been studied before. In order to find out products which can meet a customer's maximum demand,...
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ISBN:
(纸本)9781467376839
In this paper, we research the relationship between the probabilistic products and customer preferences, which has not been studied before. In order to find out products which can meet a customer's maximum demand, we present an uncertain dynamic skyline (UDS) query, and propose effective pruning strategies to reduce the search space of the UDS query processing. In addition, effective algorithms are presented by integrating the proposed pruning strategies. Extensive experiments illustrate the efficiency and effectiveness of our proposed algorithms with a variety of experiments settings.
Demodulation of multi-channel and multi-rate broadband signal is an important technology in digital communication and reconnaissance processing. Based on the design concept of software radio, after the study of symbol...
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Demodulation of multi-channel and multi-rate broadband signal is an important technology in digital communication and reconnaissance processing. Based on the design concept of software radio, after the study of symbol synchronization and carrier synchronization technology in demodulation process, this paper proposed a automatic demodulation scheme of multi-channel and multi-rate broadband signal. According to the AltiVec technology, the CACHE technology, the accelerating optimization softwarein of multi-core collaborative stream processing, this demodulation algorithm is realized on the digital processing platform of T4240 multicore processors. Finally QPSK signal is taken as an example to complete the experiment and result *** results show that the performance of demodulation algorithm is higher, and the method of multi-channel and multi-rate broadband signal demodulation in software way has the advantages that the software is easier to implement, the algorithm is easier to upgrade and maintain, the parameters of demodulation signal are more easily to be configurated. According to optimizing processing, the real-time processing ability of the algorithm is stronger, and it can meet the demodulation performance requirements of more channel and wider broadband signal.
This paper presents a compact and efficient hard output MIMO detection and its FPGA implementation. Our method is based on a complex-valued decomposition and a highly compact expansion, which needs least number of vis...
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This paper presents a compact and efficient hard output MIMO detection and its FPGA implementation. Our method is based on a complex-valued decomposition and a highly compact expansion, which needs least number of visited nodes and a half of tree depth than previously published K-best designs. We propose a fully pipelined architecture,combining with resource sharing to realize the ***, our complex-valued MIMO detector is implemented and validated on a Xilinx FPGA device for a 16-QAM modulation and 4×4 antenna *** implementation results show that the proposed detector is hardware efficient and has a 395 Mbps throughput with about 0.2dB performance loss.
Multi-hop wireless network is one of the most important military communication networks. In hostility environment, the network topology evolution is driven by both attacker and defender. In order to reveal the law of ...
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Multi-hop wireless network is one of the most important military communication networks. In hostility environment, the network topology evolution is driven by both attacker and defender. In order to reveal the law of network topology evolution, the network architecture is analyzed at first. Secondly, the network mathematic model and dynamic topology evolution model are established. After that the validity evaluation rules of network topology are proposed. Finally, some offensive and defensive strategies are given. The proposed model and strategies can be used in both network attack and defending.
Frequency shift keying(FSK) modulation function in MATLAB without filter function, leading to poor adjacent channel suppression, which causes aliasing after a non-linear device easily. Based on FSK modulation signal...
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Frequency shift keying(FSK) modulation function in MATLAB without filter function, leading to poor adjacent channel suppression, which causes aliasing after a non-linear device easily. Based on FSK modulation signal generation principle, designing a better adjacent channel suppression function in this paper, which verified by demodulating through Agilent’s vector signal analyzer(89600S), this function gets achieved more satisfactory results in the application of semi physical simulation.
For the problem that the location of LBSN users was sparse because of it was updated sporadically. An important place identification method was studied by improving the clustering algorithm. Firstly, a velocity prunin...
详细信息
ISBN:
(纸本)9781467381277
For the problem that the location of LBSN users was sparse because of it was updated sporadically. An important place identification method was studied by improving the clustering algorithm. Firstly, a velocity pruning algorithm was applied to remove interference points from source data. Secondly, clustering algorithm based on density peak named CFSFDP was selected. To solve the problem that it is unable to decide the cluster number with CFSFDP, an improved algorithm was presented. With a cluster center automatic choosing strategy, the algorithm searched for the `turning points' with the trends of cluster center weights changing. Then we could regard a set of points which weight is bigger than turning points' as cluster center. As a result, the error brought by ruling in the Decision Graph could be avoided with the strategy. Thirdly, reverse geocoding technology was applied to translate coordinate in semantic place. Check-in data of Foursquare user was set as an example in experiment, the result show that the improved algorithm had higher accuracy rate and lower computation compared to CFSFDP and DBSCAN. It also proved that the feasibility and effectiveness of the method proposed in the paper.
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