The Experts below are selected from a list of 63 Experts worldwide ranked by ideXlab platform
Lei Wei - One of the best experts on this subject based on the ideXlab platform.
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a security strategy based on multi Dimension Location for hierarchical wireless heterogeneous sensor networks
International Conference on Mechatronics, 2015Co-Authors: Yuquan Zhang, Lei WeiAbstract:A key management scheme based on multi-Dimension Location is presented for heterogeneous wireless hierarchical sensor networks. The wireless sensor networks consist of some nodes that have greater power and transmission capability than other sensor nodes. All kinds of nodes are deployed evenly in sensing multi-Dimensional hypercube respectively. The sensing hypercube is divided into a number of small same hypercubes for all kinds of nodes and then some of those small same hypercubes consist of a logical group for those heterogeneous nodes. The wireless sensor network has a two-tier structure. The upper layer consists of all cluster heads, namely heterogeneous sensor nodes and the lower layer consists of all ordinary sensors managed by their corresponding cluster heads. This paper investigates how the heterogeneous sensor nodes enhance the performance of wireless sensor networks. Pairwise keys are established between all kinds of nodes through employing the concept of the overlap key sharing and the random key predistribution scheme. Analysis shows the heterogeneous nodes improve the security and connectivity for wireless sensor networks, moreover, they extend the network lifetime.
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a key management scheme based on multi Dimension Location for clustered heterogeneous wireless sensor networks
International Conference on Materials Engineering and Information Technology Applications (MEITA 2015), 2015Co-Authors: Yuquan Zhang, Lei WeiAbstract:A key scheme based on multi-Dimension Location is presented for heterogeneous wireless sensor networks (HWSNs). The wireless sensor networks consist of some nodes that have greater power and transmission capability than other sensor nodes. All kinds of nodes are deployed evenly in sensing space. The sensing space is divided into a number of small same hypercubes for all kinds of nodes and then some of them consist of a logical group for those heterogeneous nodes. This paper researches how the heterogeneous sensor nodes enhance the performance of wireless sensor networks. Pairwise keys are established between all kinds of nodes through employing the concept of the overlap key sharing, the grid-based key pre-distribution scheme, and the random key pre-distribution scheme. Analysis shows the heterogeneous nodes improve the security and connectivity for wireless sensor networks.
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A Secure Scheme Based on Three-Dimension Location for Hierarchical Wireless Heterogeneous Sensor Networks
Proceedings of the 2015 International Conference on Materials Engineering and Information Technology Applications, 2015Co-Authors: Yuquan Zhang, Lei WeiAbstract:A pairwise key establishment strategy based clusters for hierarchical wireless heterogeneous sensor networks (HWHSNs) is presented in this paper through investigating how heterogeneous sensor nodes enhance network performance. The HWHSNs have some sensor nodes that have greater power and transmission capability than other nodes. All kinds of nodes are evenly deployed in sensing cube respectively. The three-Dimension sensing cube is divided into a number of small same cubes for all kinds of nodes and then eight of those small cubes comprise a logical group for heterogeneous nodes. The structure of HWHSNs is a two-layer structure. The upper layer contains all cluster heads, namely heterogeneous sensor nodes, and the lower layer contains all ordinary sensors managed by corresponding cluster heads. The pairwise keys between all kinds of nodes are set up through utilizing the concept of the overlap key sharing and the random key predistribution scheme. Analysis shows the heterogeneous nodes improve both the security and connectivity of the wireless sensor networks and prolong the WSNs lifetime.
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A secure scheme based on three-Dimension Location for wireless sensor networks
IET International Conference on Wireless Sensor Network 2010 (IET-WSN 2010), 2010Co-Authors: Yuquan Zhang, Lei WeiAbstract:A secure scheme based clusters for wireless sensor networks is presented. The three-Dimension sensing cube is divided into a number of clusters, each of which is comprised of eight small cubes called cells. The structure of WSNs is a two-layer structure. The upper layer contains all cluster heads and the lower layer contains all ordinary sensors managed by corresponding cluster heads. The cluster heads set up their pairwise keys by employing a key pre-distribution scheme based on cluster head identifications and the ordinary sensors establish their pairwise keys through utilizing a dynamic key management strategy based on the key management scheme, exclusion-based systems (EBSs). Analysis demonstrates that this scheme improves the security for WSNs, reduces communication expenditure both in upper layer and lower layer, saves cluster head and sensor energy consumption, and prolongs the lifetime of cluster heads and sensors.
Yuquan Zhang - One of the best experts on this subject based on the ideXlab platform.
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a security strategy based on multi Dimension Location for hierarchical wireless heterogeneous sensor networks
International Conference on Mechatronics, 2015Co-Authors: Yuquan Zhang, Lei WeiAbstract:A key management scheme based on multi-Dimension Location is presented for heterogeneous wireless hierarchical sensor networks. The wireless sensor networks consist of some nodes that have greater power and transmission capability than other sensor nodes. All kinds of nodes are deployed evenly in sensing multi-Dimensional hypercube respectively. The sensing hypercube is divided into a number of small same hypercubes for all kinds of nodes and then some of those small same hypercubes consist of a logical group for those heterogeneous nodes. The wireless sensor network has a two-tier structure. The upper layer consists of all cluster heads, namely heterogeneous sensor nodes and the lower layer consists of all ordinary sensors managed by their corresponding cluster heads. This paper investigates how the heterogeneous sensor nodes enhance the performance of wireless sensor networks. Pairwise keys are established between all kinds of nodes through employing the concept of the overlap key sharing and the random key predistribution scheme. Analysis shows the heterogeneous nodes improve the security and connectivity for wireless sensor networks, moreover, they extend the network lifetime.
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a key management scheme based on multi Dimension Location for clustered heterogeneous wireless sensor networks
International Conference on Materials Engineering and Information Technology Applications (MEITA 2015), 2015Co-Authors: Yuquan Zhang, Lei WeiAbstract:A key scheme based on multi-Dimension Location is presented for heterogeneous wireless sensor networks (HWSNs). The wireless sensor networks consist of some nodes that have greater power and transmission capability than other sensor nodes. All kinds of nodes are deployed evenly in sensing space. The sensing space is divided into a number of small same hypercubes for all kinds of nodes and then some of them consist of a logical group for those heterogeneous nodes. This paper researches how the heterogeneous sensor nodes enhance the performance of wireless sensor networks. Pairwise keys are established between all kinds of nodes through employing the concept of the overlap key sharing, the grid-based key pre-distribution scheme, and the random key pre-distribution scheme. Analysis shows the heterogeneous nodes improve the security and connectivity for wireless sensor networks.
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A Secure Scheme Based on Three-Dimension Location for Hierarchical Wireless Heterogeneous Sensor Networks
Proceedings of the 2015 International Conference on Materials Engineering and Information Technology Applications, 2015Co-Authors: Yuquan Zhang, Lei WeiAbstract:A pairwise key establishment strategy based clusters for hierarchical wireless heterogeneous sensor networks (HWHSNs) is presented in this paper through investigating how heterogeneous sensor nodes enhance network performance. The HWHSNs have some sensor nodes that have greater power and transmission capability than other nodes. All kinds of nodes are evenly deployed in sensing cube respectively. The three-Dimension sensing cube is divided into a number of small same cubes for all kinds of nodes and then eight of those small cubes comprise a logical group for heterogeneous nodes. The structure of HWHSNs is a two-layer structure. The upper layer contains all cluster heads, namely heterogeneous sensor nodes, and the lower layer contains all ordinary sensors managed by corresponding cluster heads. The pairwise keys between all kinds of nodes are set up through utilizing the concept of the overlap key sharing and the random key predistribution scheme. Analysis shows the heterogeneous nodes improve both the security and connectivity of the wireless sensor networks and prolong the WSNs lifetime.
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A secure scheme based on three-Dimension Location for wireless sensor networks
IET International Conference on Wireless Sensor Network 2010 (IET-WSN 2010), 2010Co-Authors: Yuquan Zhang, Lei WeiAbstract:A secure scheme based clusters for wireless sensor networks is presented. The three-Dimension sensing cube is divided into a number of clusters, each of which is comprised of eight small cubes called cells. The structure of WSNs is a two-layer structure. The upper layer contains all cluster heads and the lower layer contains all ordinary sensors managed by corresponding cluster heads. The cluster heads set up their pairwise keys by employing a key pre-distribution scheme based on cluster head identifications and the ordinary sensors establish their pairwise keys through utilizing a dynamic key management strategy based on the key management scheme, exclusion-based systems (EBSs). Analysis demonstrates that this scheme improves the security for WSNs, reduces communication expenditure both in upper layer and lower layer, saves cluster head and sensor energy consumption, and prolongs the lifetime of cluster heads and sensors.
Feidao Cao - One of the best experts on this subject based on the ideXlab platform.
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rtm3d real time monocular 3d detection from object keypoints for autonomous driving
arXiv: Computer Vision and Pattern Recognition, 2020Co-Authors: Huaici Zhao, Pengfei Liu, Feidao CaoAbstract:In this work, we propose an efficient and accurate monocular 3D detection framework in single shot. Most successful 3D detectors take the projection constraint from the 3D bounding box to the 2D box as an important component. Four edges of a 2D box provide only four constraints and the performance deteriorates dramatically with the small error of the 2D detector. Different from these approaches, our method predicts the nine perspective keypoints of a 3D bounding box in image space, and then utilize the geometric relationship of 3D and 2D perspectives to recover the Dimension, Location, and orientation in 3D space. In this method, the properties of the object can be predicted stably even when the estimation of keypoints is very noisy, which enables us to obtain fast detection speed with a small architecture. Training our method only uses the 3D properties of the object without the need for external networks or supervision data. Our method is the first real-time system for monocular image 3D detection while achieves state-of-the-art performance on the KITTI benchmark. Code will be released at this https URL.
Cao Feidao - One of the best experts on this subject based on the ideXlab platform.
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RTM3D: Real-time Monocular 3D Detection from Object Keypoints for Autonomous Driving
2020Co-Authors: Li Peixuan, Zhao Huaici, Liu Pengfei, Cao FeidaoAbstract:In this work, we propose an efficient and accurate monocular 3D detection framework in single shot. Most successful 3D detectors take the projection constraint from the 3D bounding box to the 2D box as an important component. Four edges of a 2D box provide only four constraints and the performance deteriorates dramatically with the small error of the 2D detector. Different from these approaches, our method predicts the nine perspective keypoints of a 3D bounding box in image space, and then utilize the geometric relationship of 3D and 2D perspectives to recover the Dimension, Location, and orientation in 3D space. In this method, the properties of the object can be predicted stably even when the estimation of keypoints is very noisy, which enables us to obtain fast detection speed with a small architecture. Training our method only uses the 3D properties of the object without the need for external networks or supervision data. Our method is the first real-time system for monocular image 3D detection while achieves state-of-the-art performance on the KITTI benchmark. Code will be released at https://github.com/Banconxuan/RTM3D.Comment: 11 pages, 4 figures and 7 table
Rolf Gemperli - One of the best experts on this subject based on the ideXlab platform.
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immediate nipple areola sparing mastectomy reconstruction an update on oncological and reconstruction techniques
World journal of clinical oncology, 2014Co-Authors: Alexandre Mendonca Munhoz, Eduardo Montag, Jose Roberto Filassi, Rolf GemperliAbstract:Nipple-sparing mastectomy (NSM) is a safe technique in patients who are candidates for conservation breast surgery. However, there is worry concerning its oncological safety and surgical outcome in terms of postoperative complications. The authors reviewed the literature to evaluate the oncological safety, patient selection, surgical techniques, and also to identify the factors influencing postoperative outcome and complication rates. Patient selection and safety related to NSM are based on oncological and anatomical parameters. Among the main criteria, the oncological aspects include the clinical stage of breast cancer, tumor characteristics and Location including small, peripherally located tumors, without multicentricity, or for prophylactic mastectomy. Surgical success depends on coordinated planning with the oncological surgeon and careful preoperative and intraoperative management. In general, the NSM reconstruction is related to autologous and alloplastic techniques and sometimes include contra-lateral breast surgery. Choice of reconstructive technique following NSM requires accurate consideration of various patient related factors, including: breast volume, degree of ptosis, areola size, clinical factors, and surgeon’s experience. In addition, tumor related factors include Dimension, Location and proximity to the nipple-areola complex. Regardless of the fact that there is no unanimity concerning the appropriate technique, the criteria are determined by the surgeon’s experience and the anatomical aspects of the breast. The positive aspects of the technique utilized should include low interference with the oncological treatment, reproducibility, and long-term results. Selected patients can have safe outcomes and therefore this may be a feasible option for early breast cancer management. However, available data demonstrates that NSM can be safely performed for breast cancer treatment in selected cases. Additional studies and longer follow-up are necessary to define consistent selection criteria for NSM.