This paper proposes a new method for wideband directionof-arrival (DOA) estimation. The main idea of the proposed method is focusing the array output on frequency point to the reference frequency point. But different ...
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ISBN:
(数字)9781728119465
ISBN:
(纸本)9781728119472
This paper proposes a new method for wideband directionof-arrival (DOA) estimation. The main idea of the proposed method is focusing the array output on frequency point to the reference frequency point. But different from coherent signalsubspace method (CSSM), it has no requirement of an initial DOA estimation. Atomic norm minimization (ANM) is then applied after the focusing step. Our proposed method is able to achieve better estimation performance than other wideband DOA estimators. Numerical simulations are carried out to demonstrate the performance of the proposed method compared to existing ones.
How to reduce the number of transmissions or prolong the lifetime of wirelesssensornetworks(WSNs) has become a research focus. Based on the spatial correlation of sensor readings, in this paper, we propose a spati...
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How to reduce the number of transmissions or prolong the lifetime of wirelesssensornetworks(WSNs) has become a research focus. Based on the spatial correlation of sensor readings, in this paper, we propose a spatial compression scheme for improving the lifetime of wirelesssensornetwork to address this issue. This scheme can prolong the lifetime of network significantly by combing LEACH protocol and spatial compression. Meanwhile, the reconstruction precision of original data is high for exploring the spatial correlation of sensor readings fully. Moreover, based on the layered network architecture, the proposed scheme can improve the network loading by selecting the cluster head randomly. Finally, the simulation results confirm that the lifetime of the proposed scheme is longer than other related schemes, and the original data can be reconstructed with high precision.
Aimed at the problems that data access delay and static index structure cannot meet the demand of frequent index update in the massive network management data,a dynamic index mechanism based on HBase and a special ind...
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Aimed at the problems that data access delay and static index structure cannot meet the demand of frequent index update in the massive network management data,a dynamic index mechanism based on HBase and a special index table is designed in this *** key value of the table is comprised of key value and indexed column which come from original data,thus enforcing the map of the indexed column with the original *** address the problems in frequently adding and deleting data,an index update algorithm is established in which only changed data is *** results show that the index structure will be adjusted as the data is adding and deleting,rustling in the optimal search *** query efficiency based on the improved method raises 4.98 times in 100 thousand rows and 55.66 times in 1 million *** more the number of the rows increases,the more search efficiency obviously improves.
With the development of web service, more and more attention has been drawn to web service in recent years. However, the damage caused by service security problems is becoming more and more serious nowadays. This pape...
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With the development of the Internet of Things, data islands and information redundancy which caused by massive heterogeneous data has become a challenge of many commercial applications and scientific research hot spo...
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ISBN:
(纸本)9781479970926
With the development of the Internet of Things, data islands and information redundancy which caused by massive heterogeneous data has become a challenge of many commercial applications and scientific research hot spots. First, we proposed and designed a MapReduce data integration and data fusion architecture, then, we established a stable information processing environment and a unified information retrieval interface for users, and then we analyzed MapReduce implementation processes, management processes, and the connection process. Meanwhile we proposed a conflict processing algorithms in processing heterogeneous redundant data problems by using metadata, and applied them to the processing of creating the virtual database using MapReduce technology, eliminating the redundant information to enhance the utilization of data space. Finally, we established the bench system to provide a unified heterogeneous data programming interface and memory management with heterogeneous data integration and fusion for users in our developed platform USPIOT (Ubiquitous Service Platform for Internet Of Things) and achieved better results.
It is necessary for a server oriented to the Internet of Things(IOT) applications to provide countless connections with efficient andreliable *** the communication layer should try to lower the *** a highly efficient ...
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ISBN:
(纸本)9781467356985
It is necessary for a server oriented to the Internet of Things(IOT) applications to provide countless connections with efficient andreliable *** the communication layer should try to lower the *** a highly efficient design for a socket server with buffer pool and a thread pool for concurrent request on the IOT platform is *** reduces the system overhead and buffer usage to the largest extent while faced with a large number of connections and digital *** simulation shows that a socket server with a thread pool and buffer pool could lower the overhead on the context switch of threads as well as the I/O *** creates and destroys threads so as to energize the system.
Cloud computing is experiencing a rapid development since a large amount of data need to be addressed. How to carry on the reasonable task scheduling plays a vital role in the efficiency of cloud computing. This paper...
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ISBN:
(纸本)9781479959716
Cloud computing is experiencing a rapid development since a large amount of data need to be addressed. How to carry on the reasonable task scheduling plays a vital role in the efficiency of cloud computing. This paper proposes a green cloud task-scheduling algorithm (GCTA) based on the improved binary particle swarm optimization(BPSO). The main contribution of our work is avoiding matrix operations by using pipelined number for virtual machines and redefining the position and velocity of particle. Simulation shows that the proposed GCTA has less execution time, and reduces resource consumption accordingly.
The atomic norm minimization (ANM) has been successfully incorporated into the two-dimensional (2-D) direction-of-arrival (DOA) estimation problem for super-resolution. However, its computational workload might be una...
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ISBN:
(纸本)9781538646595
The atomic norm minimization (ANM) has been successfully incorporated into the two-dimensional (2-D) direction-of-arrival (DOA) estimation problem for super-resolution. However, its computational workload might be unaffordable when the number of snapshots is large. In this paper, we propose two gridless methods for 2-D DOA estimation with L-shaped array based on the atomic norm to improve the computational efficiency. Firstly, by exploiting the cross-covariance matrix an ANM-based model has been proposed. We then prove that this model can be efficiently solved as a semi-definite programming (SDP). Secondly, a modified model has been presented to improve the estimation accuracy. It is shown that our proposed methods can be applied to both uniform and sparse L-shaped arrays and do not require any knowledge of the number of sources. Furthermore, since our methods greatly reduce the model size as compared to the conventional ANM method, and thus are much more efficient. Simulations results are provided to demonstrate the advantage of our methods.
In view of the existing web site credibility evaluation models failing to comprehensively consider the multiple attributes of trust,after learning the D- S evidence theory and fuzzy theory,a new web site credibility e...
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ISBN:
(纸本)9781510805750
In view of the existing web site credibility evaluation models failing to comprehensively consider the multiple attributes of trust,after learning the D- S evidence theory and fuzzy theory,a new web site credibility evaluation model is put forward in which the trust value is divided into historical trust value and the current trust *** study shows that the model can track the change of user preferences in real-time as well as can meet the dynamic nature of universal environment,so the trust assessment is more reasonable and accurate.
The development of convolutional neural network has brought great achievements to image classification in recent ***,the classification performance is good only for natural images rather than medical *** important rea...
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The development of convolutional neural network has brought great achievements to image classification in recent ***,the classification performance is good only for natural images rather than medical *** important reason is that the medical image database used for training is always *** how to use these limited data to acquire more extensive features has become a hot research *** this paper,we first update the order and number of the whole training data every time in active and incremental *** we set different contribution rate for the data selected in our model,which based on the information quantity of the data in training stage and make our model converge *** that,a pre-trained model and our preprocessed datasets are employed,which allows us to further fine-tune our *** experiments evaluated on two different biomedical datasets shows that our model can achieve promising results.
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