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In this paper, we propose an optimal fault-tolerant algorithm for distributed event detection in wireless sensor networks. Two important problems are addressed: 1. How to handle both the noise-related measurement error and sensor fault simultaneously in fault-tolerant detection? 2. How to choose a proper neighborhood size n for a sensor node in fault correction such that the maximum energy could be...
This paper discusses the usage of direct methods of calculus of variations for real-time optimization of a final turn-into-the-wind maneuver for autonomous guided parafoil-based delivery systems. It reviews several approaches that are currently being pursued by different developers of such systems and discusses the necessity of usage and applicability of a direct method to optimize the final turn...
In this paper, a new IMC-based PID controller design is proposed. The model reduction is employed to find the best PID controller approximation to the IMC controller. Compared with the existing IMC-based methods, the proposed design is applicable to a wider range of processes, and yields a control system with performance closer to the more sophisticated IMC counterpart. Furthermore, it can be made...
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...
In this paper we present our evaluation of the Edge Orientation Histograms (EOH) as feature descriptors in an automatic face-based gender classification application. The feature descriptors extracted from an input image are evaluated using estimated arithmetic means of accuracies to select the feature descriptors that play the most important role in classification success. Our experiments show that...
A new efficient hybrid technique is presented, which combines the method of moments (MoM) and the shooting and bouncing ray (SBR) for analyzing scattering of complex large structures. By applying the SBR method for the whole structures, a corrected incident field including not only the direct incident field but also the multi-bounce field from the SBR region contributes to the integral equation in...
Beacon node placement is the prerequisite for wireless localization, and the quality of placement scheme significantly affects localization accuracy. For a localization system, sufficient coverage and optimal beacon node distribution are required to provide satisfactory localization accuracy in a target area. Since the deployment cost grows with the number of beacon nodes, it is desirable to keep...
Localization is one of the challenges in achieving reliable communication in Wireless Sensor Networks (WSN). Estimating a sensor's node's position is known as Localization. Nonlinear version of Kalman filtering is known as the Extended Kalman Filter which deals with the case governed by the nonlinear stochastic differential equations, Extended kalman filter is nonlinear filter having their own problem...
In this work we address the problem of design of an efficient Recommender system based on collaborative filtering framework which achieves improved accuracy with reduced computational complexity and shorter run times. This work is based on representing the low rank constraint as the Ky-Fan norm instead of the commonly employed nuclear norm term. Our formulation uses majorization minimization approach...
Achieving sub-pixel accuracy with face alignment algorithms is a difficult task given the diversity of appearance in real world facial profiles. To capture variations in perspective, occlusion, and illumination with adequate precision, current face alignment approaches rely on detecting facial landmarks and iteratively adjusting deformable models that encode prior knowledge of facial structure. However,...
Mobile wheeled inverted pendulum mechanical models are benchmark under actuated dynamical systems with inherently unstable dynamics and pose a difficult challenge to control with desired accuracy. This paper seeks to achieve an efficient control scheme based on the notion of sliding modes to achieve the desired response under perturbations. In this work, a mathematical model of a two wheeled inverted...
Segmentation of mathematical equations from document images is already a major research area for improved performance of OCR systems. Though chemical equations are also sharing similar spatial properties as that of non-chemical equations (for example, mathematical equations), efforts to segment those are still to be explored. This paper presents a novel method for segmenting and identifying chemical...
Data sets ordinarily includes a huge number of attributes, with irrelevant and redundant attributes. Redundant and irrelevant attributes might minimize the classification accuracy because of the huge search space. The main goal of attribute reduction is choose a subset of relevant attributes from a huge number of available attributes to obtain comparable or even better classification accuracy than...
In this paper, we present multiple active contours for image segmentation that use scalable local regional information on expandable kernel. It includes using a strategy inside the variational level set method to adapt the size of a local window in order to avoid being stuck locally in a homogeneous region during the segmentation process. It also provides a multiple level set framework to deal with...
Tag recommendation aims to recommend to a user the most suited tags for a given item. It is an important functionality of resource sharing systems. In this paper we propose a recommendation algorithm, called Fas Tag, that links the relevance of the tags to both their popularity and the opinions of the user's neighbors. Fas Tag assumes that the users are organized in a weighted graph representing,...
This paper presents an efficient Parkinson disease diagnosis system using Least Squares Twin Support Vector Machine (LSTSVM) and Particle Swarm Optimization (PSO). LSTSVM is a promising binary classifier and has shown better generalization ability and faster computational speed. PSO is used for feature selection and parameter optimization. Parkinson disease dataset is taken from UCI repository. The...
Nowadays, many people suffer from heart problems and hence the demand of inexpensive and efficient electrocardiogram (ECG) for frequent heart monitoring is becoming crucial. To make the ECG device portable, cost-effective and light-weight, an alternative of deploying an ECG system is on Field Programmable Gate Array (FPGA). It is also important to choose suitable algorithm that optimize in terms of...
This work proposes a dynamic, and adaptive caching mechanism for efficient virtualization in sensor-cloud — one of the first attempts in this direction. The work introduces both internal and external caching techniques to ensure efficiency in resource utilization of the underlying physical network. Conventional data transmission techniques involve periodic packet transmissions to the cloud-end. However,...
To get the accuracy of Wireless Sensor Networkboundary node localization and decrease error, this paperpresent an arithmetic on RSSI (Received Signal StrengthIndicator) weighting circulate localization. This arithmetic isbased on RSSI, combination of least squares estimate localizationalgorithm and weighted centroid circulation method. Thealgorithm firstly is introduced into threshold method forscreening...
Granger Causality (GC) is an effective tool for determining functional connectivity in time-series data. However, application of GC is limited by the curse of dimensionality in many applications, e.g. Gene Regularity Networks (GRN). Various methods have been proposed to overcome this limitation. To the best of our knowledge, there is no detailed comparative study of such methods. We aim to perform...
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