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2019第十一届数字图像处理国际会议

作者： Zhuo Su Jiwei Hu Quan Liu Jiamei Deng School of Information Engineering Wuhan University of Technology Key Lab.of Broadband Wireless Communication and Sensor Network

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.

关键词： Grading learning medical image multivariate training datasets

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GRIDLESS TWO-DIMENSIONAL DOA ESTIMATION WITH L-SHAPED ARRAY BASED ON THE CROSS-COVARIANCE MATRIX

GRIDLESS TWO-DIMENSIONAL DOA ESTIMATION WITH L-SHAPED ARRAY ...

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IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Xiaohuan Wu Wei-Ping Zhu Jun Yan Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Nanjing China

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.

关键词： 2-D DOA estimation L-shaped array atomic norm cross-covariance matrix

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Energy-efficient multi-hop routing algorithm based on LEACH

Energy-efficient multi-hop routing algorithm based on LEACH

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6th China Conference of Wireless sensor networks, CWSN 2012

作者： Yang, He Xu, Jia Wang, Ruchuan Qian, Liyang College of Computer Nanjing University of Posts and Telecommunications Nanjing 210003 China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing University of Posts and Telecommunications Nanjing 210003 China Key Lab. of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications Nanjing 210003 China

ISBN: (纸本)9783642362514

In order to reduce network energy consumption and prolong the lifetime of wireless sensor networks, this paper improves the LEACH to an energy efficient multi-hop routing algorithm. LEACH in the cluster creation, data transmission, the update phase of the cluster was modified in proposed algorithm. The algorithm updates the cluster head reasonably and adjusts the structure of the cluster to reduce the energy consumption in cluster establishment phrase. In data transmission, it lowers energy consumption by inter-cluster and intra-cluster multi-hop transmission. The simulation runs the algorithm on NS2. The results show that the new algorithm's effectiveness in reducing energy consumption by comparing it with LEACH, LEACH-C,DEEUC. © 2013 Springer-Verlag.

关键词： Routing algorithms

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Real-time Hand Tracking Using Kinect

Real-time Hand Tracking Using Kinect

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作者： Chenxuan Xi Jianxin Chen Chenxue Zhao Qicheng Pei Lizheng Liu Key Lab of Broadband Wireless Communication and Sensor Network Technology(Nanjing University of Posts and Telecommunications) Ministry of Education

Real-time hand tracking is fundamental to human gesture recognition. However, due to the huge computation, previous studies are either off-line or limited to given poses. In order to satisfy the requirement of real-time hand tracking, in this paper we propose a real time hand tracking method using Kinect. Firstly we extract the hand region from the depth image output from Kinect. Then we achieve the hand parameters. During the procedure of hand region extraction, we propose a cascade structure with recursive connected component algorithm to improve the efficiency and reserve connection relationships in 3D space. To determine the fingertips, we use the former 3D connections and geodesic distance over hand skeleton pixels to guarantee the accuracy and robustness, with acceptable loss. Experimental results show that our proposed solution can significantly improve the quality of real-time hand tracking.

关键词： Hand tracking fingertip tracking Kinect connected component analysis geodesic distance

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A new variant of sum-product algorithm for sensor self-localization in wireless networks

A new variant of sum-product algorithm for sensor self-local...

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IEEE International Conference on communications in China (ICCC)

作者： Wei Li Zhen Yang Haifeng Hu Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Nanjing China

Graphical models have been widely applied in solving distributed inference problems in wireless sensor networks (WSNs). In this paper, we formulate the sensor self-localization problem in a WSN as an inference problem on a factor graph. Using a sequential schedule of message updates, a sequential uniformly reweighted sum-product algorithm (SURW-SPA) is developed for self-localization problems. The proposed algorithm combines the distributed nature of belief propagation (BP) with the improved performance of sequential tree-reweighted message passing (TRW-S) algorithm. We apply the SURW-SPA to sensor self-localization in large-scale static networks, and evaluate its performance in terms of localization accuracy and convergence speed.

关键词： Wireless sensor networks Message passing Schedules Belief propagation Sum product algorithm Wireless networks

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New Evaluation Model on Web Site Credibility

New Evaluation Model on Web Site Credibility

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2015 International Conference on Computer Information Systems and Industrial Applications(CISIA2015)

作者： Y.Y.Ma F.Chen Z.X.Sun Key Lab of Broadband Wireless Communication and Sensor Network Technology Ministry of Education Nanjing University of Posts and Telecommunications

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.

关键词： evaluation model d-s evidence theor fuzzy theory

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Content Centric networking: A New Approach to Big Data Distribution

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ZTE communications 2013年第2期11卷 3-10页

作者： Yi Zhu Zhengkun Mi Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications School of Computer Science and Telecommunication Engineering University of Jiangsu

In this paper, we explore network architecture anal key technologies for content-centric networking （CCN）, an emerging networking technology in the big-data era. We descrihe the structure anti operation mechanism of tl CCN node. Then we discuss mobility management, routing strategy, and caching policy in CCN. For better network performance, we propose a probability cache replacement policy that is based on cotent popularity. We also propose and evaluate a probability cache with evicted copy-up decision policy.

关键词： big data content-centric networking caching policy, mobility management routing strategy

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Secure Multi-period Routing in the Delay Tolerant networks

Secure Multi-period Routing in the Delay Tolerant Networks

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Wireless communication and sensor network, Intl Conference on

作者： Jian-Min Bao Feng Wang Jun-Jie Zhang Shu Zhang Kun Wang Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (纸本)9781479970926

The Delay/Disruption Tolerant network (DTN) is characterized with intermittently connectivity and frequent partitions. Due to this, the DTN routing algorithm is very vulnerable to various kinds of malicious attacks. In this paper, combined with many other DTN forwarding approaches, we propose a multi-stage routing forwarding algorithm so as to further improve network throughput. To ensure the security advantages of multi-period routing, we also need to take the efficiency of the routing algorithm into account. The concept of trade-off coefficient is introduced in this paper in order to balance the security and efficiency. Through the security analysis and simulation result, we can reach the conclusion that by setting a reasonable trade-off factor, the mechanism can effectively resist the joint attack and also optimize the network performance.

关键词： Routing Security Throughput Analytical models Algorithm design and analysis network coding Encoding

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A RGB-D Face Recognition Approach without Confronting the Camera

A RGB-D Face Recognition Approach without Confronting the Ca...

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2015 IEEE International Conference on Computer and communications(ICCC 2015)

作者： Wei Zhou Jian-xin Chen Lei Wang Key Lab of Broadband Wireless Communication and Sensor Network Technology (Nanjing University of Posts and Telecommunications) Ministry of Education

Face recognition research mainly focuses on traditional 2D color images, which is extremely susceptible to be affected by external factors such as various viewpoints and has limited recognition accuracy. In order to achieve improved recognition performance, as well as the 3D face holds more abundant information than 2D, we present a 3D human face recognition algorithm using the Microsoft's Kinect. The proposed approach integrates the depth data with the RGB data to generate 3D face raw data and then extracts feature points, identifies the target via a two-level cascade classifier. Also, we build a 3D-face database including 16 individuals captured exclusively using Kinect. The experimental results indicate that the introduced algorithm can not only achieve better recognition accuracy in comparison to existing 2D and 3D face recognition algorithms when the probe face is exactly in front of Kinect sensor, but also can increase 9.3% of recognition accuracy compared to the PCA-3D algorithm when it is not confronting the camera.

关键词： 3D face recognition Kinect RGB-D images XML file classifier

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A Gridless Method for Doa Estimation Under the Coexistence of Mutual Coupling and Unknown Nonuniform Noise

A Gridless Method for Doa Estimation Under the Coexistence o...

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sensor Array and Multichannel Signal Processing Workshop

作者： Dan Li Yuanyuan Jiang Xiaohuan Wu Wei-Ping Zhu Key Lab of Broadband Wireless Communication and Sensor Network Technology Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (数字)9781728119465

ISBN: (纸本)9781728119472

This paper addresses the issue of direction-of-arrival (DOA) estimation under the coexistence of mutual coupling and nonuniform noise. We first construct a selection matrix based on the structural characteristics of the mutual coupling matrix (MCM) to form a new manifold matrix which is not affected by the mutual coupling effect. Then, we employ the covariance fitting criteria to form a semidefinite programming for DOA estimation. Compared to most of existing sparse methods, our method does not require discretization of the angle space, hence is able to achieve super-resolution. Simulations are carried out to verify the effectiveness of the propose method.

关键词： Manifolds Mutual coupling Direction-of-arrival estimation Fitting Superresolution Estimation Signal processing algorithms

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