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The practical method of worst-case estimation of the total electromagnetic background near ground surface created by different radio systems is offered. This method takes into consideration heterogeneity of radioelectronic environment formed by the full set of stationary and mobile transmitters of different radio services, and peculiarities of radio wave propagation on different distances between...
In modelling the non-Gaussian and non-linearity behaviour in t he systems accurately for the estimation of the density function, Particle filter(PF) is considered more precise compared to other filters like Kalman filter. Particle filters are also known as Sequential Monte Carlo method which used the sampling method in implementing the recursive Bayesian filters. However, Particle filter has limitations...
The rapid development of wireless communication technologies and portable mobile devices such as laptops, PDAs, smart phones and wireless sensors brings the best out of mobile computing particularly mobile ad-hoc and sensor networks. Nowadays, most of researchers working on Wireless Sensor Networks (WSNs) focus on Mobile Ad-hoc and Sensor Networks (MASNETs) due to their wide range of potential applications...
This paper suggests the study for the process of planning and capturing the optimal trajectory by the mobile robot in order to efficiently capture mobile sound sources. The sound sources are released and moved by using the mobile robot. The mobile robot is equipped with a microphone array, which makes it possible to obtain the location and direction of the mobile sound sources. For the capturing process,...
In recent years, the prevalence of voice disorders has been increasing dramatically, mainly due to unhealthy lifestyles and voice abuse. An impairment in the ability to produce the sound of the voice is indicated by the medical term Dysphonia. This disorder impacts on the quality of life of the population in general, but especially of professional voice users, like teachers or singers, for whom dysphonia...
Accurate indoor positioning of mobile users is a crucial operation for location aware computer applications. However, the complex and nonstationary propagation characteristics of indoor environments and the large number of different mobile devices make difficult to employ classical geometrical approaches. In this work we examine the application of sequential Bayesian approaches to this problem and...
One of important and difficult issues in power saving is how to determine the most appropriate sleep window timing and size for unpredictable non-real-time traffic. This paper proposes an almost overhead-free dynamic sleep window adjusting policy (D-SWAP) for mobile communication systems. Based on monitoring downlink traffic patterns, it adopts the concept of round-trip-time (RTT) estimation in TCP...
Different location determination methods using wireless signal strength have been proposed to improve the location accuracy and mitigate the multipath problem in indoor environment. In this paper, a fingerprinting-probabilistic approach for indoor localization using wireless technology is proposed. The method is based on the use of the Gaussian Mixture Model (GMM) to approximate the probability distribution...
Provisioning of mobile video streaming is hitting toward to limitations in channel quality and capacity as well as in terminal processing power. These known limitations, network settings, and video content influence the end user quality. In this article we investigate the estimation of perceived video quality for mobile streaming scenarios. Firstly, we analyze streaming content and usage scenarios...
Video streaming constitutes the vast majority of Internet traffic and the DASH protocol has become the de-facto standard in the industry of multimedia delivery. The multicast method for information distribution has the potential to dramatically reduce multimedia streaming traffic; however, to date, there is no effective Adaptive Logic (AL) designed to support multicast constraints at the client side...
Audio signal modeling and simulation is important in several coding, noise removal, and recognition applications. This paper focuses on implementing models for loudness estimation and their use in estimating parameters on iOS mobile devices (iPhones and iPads). We briefly address estimating excitation patterns and loudness through auditory models. These loudness estimation and other algorithms were...
This letter deals with a hybrid time of arrival (TOA)/angle of arrival (AOA) mobile location estimation based on the Wiener under relatively low signal-to-noise ratio and moderately non-line-of-sight (NLOS) effects. To resolve the model uncertainty and improve the accuracy of the estimated location under the conditions that relatively low SNR and moderate NLOS effects, a Wiener estimator will be utilized...
The combined use of bilinear and vector rational interpolation for motion field estimation of erroneously received MPEG-2 video bitstreams is reported. Motion vector rational interpolation is capable of adapting its behaviour with respect to neighbouring motion information. Bilinear interpolation, operating on a finer interpolation grid, takes neighbouring spatial correlations into account. Thus,...
This paper makes improvements aiming at the existing problems of hybrid location algorithm combining BS and satellites data and propose the TDOA/DGPS hybrid location algorithm based on the initial estimation. According to simulations with MATLAB, this new algorithm is proved to improve positioning accuracy further and reduce the amount of computation. But this algorithm can not eliminate effect of...
Pose estimation is a major requirement for any augmented reality (AR) application. Cameras and inertial measurement units (IMUs) have been used for pose estimation not only in AR but also in many other fields. The level of accuracy and pose update required in an AR application is more demanding than in any other field. In certain AR applications, (maintenance for example) a small change in pose can...
Constant increase in urban road traffic is forcing traffic authorities to confront unavoidable congestion problems these days. This creates new challenges for city planners to generate traffic routes with better designs and improve the existing roads. In order to analyze and improve traffic routes, there is a need to understand movement patterns of major vehicular traffic inside the city. Origin Destination(OD)...
Crowdsensing has been used quite regularly in recent years to study smartphone usage. However context information associated with smartphone usage is mostly of the type geo-localisation, user mobility, temporal behavior etc. Furthermore most studies are not sufficiently user-centric i.e. don't consider the perception or cognitive aspects of the user. In this paper we collect data about social context...
Delayed offloading of mobile user delay tolerant traffic, through other networks such as WiFi networks or millimeter wave (mm-w) gates, is a promising solution for dealing with the ever-growing problem of wireless cellular network capacity. In this paper, we investigate the problem of how we can optimally associate a user with delayed traffic to a nearby offloading zone, i.e., to which nearby offloading...
In cooperative spectrum sensing, clustering of the sensor nodes is vastly employed in order to reduce overall energy expenditure due to reporting while preserving high detection performance. Cluster formation is especially difficult for mobile networks since the clusters immediately become invalid. In the mobile scenario, the cluster forming algorithm should take into account the total energy expenditure,...
If temporal variation of a person's hunger degree could be estimated, it would be possible to adjust his/her eating habits and/or prevent obesity. It is well-known that there is a negative correlation between a hunger degree and a blood glucose level. However, it is hard to measure a person's blood glucose level anytime and anywhere, because it relies usually on an invasive method (e.g., blood sampling)...
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