This paper presents a new method of gaze tracking based on iris detection for images of human eyes captured by ordinary PC camera. In the basis of traditional iris detection, this paper improves the circle detection b...
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For the current opportunistic networks routing algorithms, their message arrival rate is not high and the delivery delay is large. This paper proposes a domain-epidemic spray and forward routing algorithm. The algorit...
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Graphical models have been widely applied in solving distributed inference problems in wirelesssensornetworks (WSNs). In this paper, we formulate the distributed multi-sensor tracking problem in a WSN as an inferenc...
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Graphical models have been widely applied in solving distributed inference problems in wirelesssensornetworks (WSNs). In this paper, we formulate the distributed multi-sensor tracking problem in a WSN as an inference problem on a factor graph. Using particle filtering methods, we propose a nonparametric variant of sum-product algorithm (SPA), called sequential particle-based SPA (SPSPA), for factor graphs to infer the multi-sensor target states over time. In the proposed algorithm, importance sampling methods are used to sample from message products, and the computational complexity of SPSPA is thus linear in the number of particles. We apply the SPSPA to a distributed multi-sensor tracking problem, and evaluate its performance in terms of the measurement noise and the number of particles.
To reduce time delay of processing data and improve the efficiency of cloud computing, a clustering algorithm based on the principle of minimum distance is proposed to place user-based and item-based data, update clus...
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ISBN:
(纸本)9781479959716
To reduce time delay of processing data and improve the efficiency of cloud computing, a clustering algorithm based on the principle of minimum distance is proposed to place user-based and item-based data, update cluster centre and the threshold dynamically. Besides, consistent hashing is combined to solve the fault tolerance and scalability issues. In addition, Case-Based Reasoning (CBR) algorithm and item-based Coordination Filtering (CF) algorithms are used for filling sparse matrix to achieve better effect on the user-based clustering. Simulation results show that compared with data placement strategy based on K-means algorithm, this data placement strategy significantly improves clustering accuracy, greatly reduces delay of processing data and increases database scalability and redundancy, thereby improving the efficiency of cloud computing.
Although deep learning has dominated the ship detection domain, it still has two challenges: arbitrary-oriented densely arranged ships cause detection omissions and large scale image contains redundant areas. This pap...
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ISBN:
(纸本)9781728123264
Although deep learning has dominated the ship detection domain, it still has two challenges: arbitrary-oriented densely arranged ships cause detection omissions and large scale image contains redundant areas. This paper proposes an effective convolutional neural network framework for arbitrary-oriented ship detection in large scale and complex scenes. In this framework, we propose Cumulative Feature Pyramid networks for multi-receptive-field feature fusion, which enhances high-level semantic information at all scales. Based on the outputs of Region Proposal networks, Rotation Region Locating network predicts rotation bounding box of arbitrary-oriented ships and adopts rotation intersection over union to avoid the effect of ship dense arrangement. For large scale scenes, No-Ship Area Suppression uses OTSU algorithm to generate binary mask and then filter out non-ship regions to reduce redundant computations. Additionally, we firstly build a remote sensing image dataset for ship detection, which contains 4237 images and over 21200 ships. Experimental comparisons with the state-of-the-art approaches validate the effectiveness, accuracy and robustness of the proposed method.
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 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.
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