Diabetes is infamous for clutching individuals into the disarray of health degradation. The count of affected patients is rising with each passing day and an increasing number of them are afflicted with that variety o...
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Positioning in mobile smartphones is done by variety of available applications which often use GPS modules equipped in them. Most of these approaches have a high energy consumption because of those GPS modules and dec...
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ISBN:
(纸本)9781509058204
Positioning in mobile smartphones is done by variety of available applications which often use GPS modules equipped in them. Most of these approaches have a high energy consumption because of those GPS modules and decreases battery life. As the period of GPS signal updating reduces, the precision of positioning decreases, but energy consumption decreases either. By fusing the GPS and INS data, positioning will be more precise. In this article, a novel method based on strong tracking extended Kalman filter will be presented which makes an acceptable precision in positioning along with a low energy consumption by fusing the data gathered from GPS and INS (which are found on all smartphones). The results show that this method performs better in term of precision in comparison with similar studies that consumes as much power as the proposed method.
Text to image transformation for input to neural networks requires intermediate steps. This paper attempts to present a new approach to pixel normalization so as to convert textual data into image, suitable as input f...
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ISBN:
(纸本)9781509044429
Text to image transformation for input to neural networks requires intermediate steps. This paper attempts to present a new approach to pixel normalization so as to convert textual data into image, suitable as input for neural networks. This method can be further improved by its Graphics processing Unit (GPU) implementation to provide significant speedup in computational time.
Aiming at the problems that traditional manufacturing andprocessing equipment is not closely related to data and information in the production andprocessing process, and the use and maintenance of equipment relies o...
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In this paper we introduce a general probabilistic graphical model for human everyday activity recognition. The proposed model is a discriminative graphical model with hidden variables for modeling body pose and seque...
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ISBN:
(纸本)9781509058204
In this paper we introduce a general probabilistic graphical model for human everyday activity recognition. The proposed model is a discriminative graphical model with hidden variables for modeling body pose and sequential order of them. We use a unified framework for prediction task that is faster and more efficient than structured support vector machine and hidden conditional random fields. We have trained and tested the model on RGB-D videos and the result was comparable to the state of the art.
Communication and sensing are the basic functions of IOV (Internet of Vehicle), it is an efficient and economical way to realize radar sensing function by using communication signal. In this paper, it is proposed a ta...
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For visual perception of indoor mobile robots, real-time segmentation of 3D objects is a very challenging problem. Due to the complexity and disorder of indoor point cloud data, many methods have been proposed to impr...
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The basic fundamental of steganography is to conceal the confidential data in designated cover media which will carry the secret message in such a way that no one can suspect it. With the increase in multimedia conten...
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This article describes a novel signal separation algorithm for the purpose of separating the signals overlapped both in time and frequency domain in HF Band by using direction-finding (DF) data. According to the HF wi...
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ISBN:
(纸本)9781467329644;9781467329637
This article describes a novel signal separation algorithm for the purpose of separating the signals overlapped both in time and frequency domain in HF Band by using direction-finding (DF) data. According to the HF wide band DF data, the time-frequency-power spectrum and its corresponding azimuth information are first transformed into azimuth-frequency-energy spectrum of DF data along the time axis;then the open and close operations of morphological image processing are applied to the azimuth-frequency-energy spectrum and isolated noise points are eliminated;finally, the region growing method of the image processing is used Through raw HF wide band DF data validation, this method is proved to be capable of realizing the separation of overlapped signals.
The development of short-range wireless communication technology has gradually matured in China. Its application in medical electrophysiological (ECG) is the key technical point for the measurement industry to enter t...
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