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Unexpected fall remains the major threat for elderly since it can cause severe consequences. In this paper, an automatic human fall detection approach is proposed using RGB-Depth (RGBD) cameras. Based on the skeleton and joints data, three velocity features and a head-hip height difference feature are extracted within each sliding window. The features are then gradually analyzed and compared to adaptive...
High-quality image denoising is required for many image processing applications. Our work concentrates on portraying a fast noise process method using PCA referring to weaked textured image patches, with patches generated from the noisy image corrupted by zero-mean Gaussian noise. The main contribution lies in the selection of specified blocks. We adopt a new measurement according to the gradients...
CCD / CMOS imaging technology is often used in satellite-based remote sensing. Although the image quality is affected by many factors, most published research work is focused on image blur caused by the satellite movement along its orbit and high frequency movement. In this paper we show that the image can also be distorted due to the swing of the satellite as it moves along its orbit. We simulate...
Deep learning is a hot research topic at home and abroad. In view of the massive 3D model data, a 3D model identification method based on topographic sparse coding is proposed. Firstly, the 3D model is projected to get its three views, and the feature vector is used as the training sample. A complete dictionary is constructed by using the greedy algorithm to train the dictionary, which makes the normal...
This work presents a novel method for human action recognition based on feature level fusion and random projection. The proposed method exploits both spatial-temporal gradient features and Gabor features of the action in video, which helps representing the action more accurately after feature level fusion. Meanwhile, the random projection is employed to reduce the dimensionality of features effectively...
Software Defined Network (SDN), a very new idea in networking domain, promises to dramatically simplify network management and enable innovation through network programmability. In spite of significant benefits, this emerging architecture suffers from several security challenges which make it vulnerable to different attacks like denial of service attack, man-in-middle attack etc. In this paper, we...
Running on a size-reduction network simulated by a given large-scale topology can obviously enhance the time efficiency. In this paper, we realize the size-reduction using the input extracting of a network simulator and evaluate the similarity between the size-reduction and given topologies using multiple criterions. The evaluation result verifies that the network simulation with input extracting...
In recent years, power analysis attacks have caused increasingly serious security threats on cryptographicalgorithm, to solve this problem different researcher has put forward many solutions, and among them the fixed value masking technology is one of the mostly used due to its lower cost and faster speed. Both theoretical and practical results have shown that the masking method has a good resistance...
Based on the study of the AIS (Automatic Identification System) and the video of the inland river in the target identification and tracking, this paper presents an algorithm for automatic identification of ships. The AIS data and video data are fused by Kalman filtering algorithm. We can get the optimal value of ship trajectory, improve the reliability and accuracy of the Inland Waterway Navigation.
Clustering is the technique to partition data patterns into different clusters. In real datasets, there are often a large number of unlabeled data patterns and a small number of labeled data patterns. Clustering technology can group data by using the unlabeled data only, but the accuracy is often poor. Classification can learn a classification model through labeled data. Classification can group data...
At the time that the knowledge explosion comes, the quantity of information increases more and more quickly for the rapid development of computer and network, and new words in the Internet are emerging in an endless stream. Automatic extraction of new words has become an essential prerequisite for many NLP assignments such as machine translation, Chinese word segmentation and sentiment analysis. This...
In the paper, an adaptive fuzzy control strategy (AFCS) of PHEV based on trip characteristics is presented for coaxial parallel PHEV. Based on the accurate prediction of the trip mileage, AFCS can adjust the control threshold of PHEV in real time according to the SOCref by fuzzy control. The dynamic model of PHEV and the AFCS control model are established by AVL Cruise and Matlab/Simulink. The actual...
The corpus-based method has been proven to be useful in the translation field, but the size of most of the corpora is relatively small, so the variety and validity remain a problem. However, the Web consists of various types and unlimited amount of knowledge, so it meaningful to combine Web with corpora. This paper intends to show how to develop Web-based corpora and how to use it to help translation...
It is difficult to discover gearbox diagnosis knowledge while diagnosis information is incomplete. To overcome this problem, a novel knowledge discovery method for gearbox fault diagnosis using flow graph (FG) is presented. In this method, FG is constructed in terms of incomplete fault decision table. The relationship among fault attributes can be represented in a graphical manner. Assignment reduction...
In order to demonstrate benefits that NDN brings to distributed storage system, we design and implement an ndnDHT-based distributed storage system called Ndynamo. The architecture of Ndynamo is similar to the Dynamo system of Amazon and it takes advantage of many features of NDN. We introduce the architecture and functional modules of this system in this paper, including the detailed descriptions...
Hand-drawn cartoon has the characteristics of flexibility, natural expression and so on. We present a multi-viewpoint hand-drawn character modeling method based on the human body structure, which is used to express the cartoon character model of hand-drawn style. Firstly, the two-dimensional skeleton is extracted, the skeleton depth is acquired and the three-dimensional skeleton is generated by the...
Realistic fluid simulation plays an important role in interactive applications. In this paper, the Lagrangian particle-based approach is used to simulate the motion state of water pouring based on smoothed particle hydrodynamics (SPH). In order to make the particle system more in line with the physical principles, the kernel functions and field quantity equations are reasonably chosen to approximate...
The production scheduling of steelmaking and continuous casting(SCC) is the key to eliminate waste for steel enterprise, and its accuracy and efficiency is determined by modeling and solving algorithm. In this paper, multi-object optimization model of SCC is established to realize the target of punctual casting, no conflict between equipment for one furnace and maximum operating start time of converter,...
The 5G wireless communication system is beyond 2020, which is still in the exploration stage. New waveforms are required to suite for short burst transmissions. Universal filtered multicarrier transmission system is candidate waveform for 5G mobile communication systems, which combines the advantages of OFDM and FBMC. In this study the impact of frequency offset on the UFMC system is analyzed. The...
This paper proposes an improved cognitive radio system based on Wireless Statistic Division Multiplexing (WSDM) which is the modified version of the new-style cognitive radio system proposed by Li. The maximal user number is limited by the antenna number at receiver in Li's system. In this paper, we relax this limitation in multiplexing subsystem and propose a modified minimum description length (MDL)...
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