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Recent advances in wireless communications have led to the development of vehicular ad hoc networks (VANETs). It has attracted the interest of both industrial and academic communities due to its potential in reducing accidents and saving lives. In VANETs, vehicles can communicate with each other to exchange traffic and road information. One of the challenges in VANETs is to determine the location...
Wound Rotor Induction Machine (WRIM) is used in various motoring and generating applications. Control of this machine from rotor side improves the operating speed and reduces the rating as well as cost of converter. The method proposed in this paper is field oriented control of WRIM with single current sensor. Rotor reference currents of current controllers are used for estimating the un-sensed rotor...
In this paper we present a solution for joint equalization and phase drift compensation for the underwater acoustic (UWA) channel. In particular, we aim at compensating the vehicular component of the Doppler effect. This component is modeled resorting to a random walk model with a linear drift. It will be estimated using a Bayesian filtering technique, namely, the sequential importance sampling (SIS)...
In Software Defined Networks (SDN), more packet fields are included to design fine-grained policies. These policies are stored as entries in switch Flow Table. However, fine-grained policies cause the scalability issue as a single flow entry needs larger storage space and a significant number of flow entries need to be stored, but the Flow Table is limited due to the constraints of Ternary Content...
Unmanned Aerial Vehicles have a lot of potentials in outdoor applications. However, uncertainties such as wind disturbances and mass change when performing some particular tasks, greatly affect their tracking performance. This paper presents a methodology using L1 adaptive control to address some of the robustness issues of the quadcopter in outdoor flight which significantly improves the performance...
In traditional DV-Hop localization algorithm, the average estimation hop distance is greater influence for the distribution of beacon nodes, which causes high positioning error. A new algorithm is proposed to improve this disadvantage. The new improved algorithm uses the hyperbolic method to locate the unknown node position. This way eliminates the cumulative error and improves the positioning accuracy...
This paper presents a new target tracking method. The presented method which named marginalized cubature Kalman filter is based on standard cubature Kalman filter and marginalized moment estimator. The marginalized moment estimator uses sigma-points sampling and Guass-Hermite integration to estimate the mean and covariance. The proposed algorithm which is called MCKF in short, uses marginalized moment...
Graphs are a powerful way to model interactions and relationships in data from a wide variety of application domains. In this setting, entities represented by vertices at the 'center' of the graph are often more important than those associated with vertices on the 'fringes'. For example, central nodes tend to be more critical in the spread of information or disease and play an important role in clustering/community...
A recently introduced data density based approach to clustering, known as Data Density based Clustering has been presented which automatically determines the number of clusters. By using the Recursive Density Estimation for each point the number of calculations is significantly reduced in offline mode and, further, the method is suitable for online use. The Data Density based Clustering method however...
Inter carrier interference and multiple access interference are induced in uplink OFDMA systems due to Carrier Frequency Offset (CFO) which is a mismatch between the transmitter and receiver frequencies that in turn affects the orthogonality among subcarriers. A different CFO value is experienced by each user data and each of these CFO values needs to be estimated and corrected. A novel Extended Viterbi-and-Viterbi...
Researchers have proposed that the reliability of software prediction models can be assessed by the following most widely used evaluation criterion, i.e., Difference Measure and Ratio Measure. Ratio measure is more suitable for the assessment of the accuracy in software cost estimation. Results in this research demonstrated that applying proposed method to the software effort estimation is by far...
A novel method for the calculation of the mutual coupling between radiators in antenna arrays is presented. The proposed methodology includes the analysis of the radiation pattern of a single radiator. An algorithm based on the calculation of real and imaginary parts of the antenna mutual impedance using the Poynting's Theorem and the Kramers - Kronig relations is demonstrated. Validation is performed...
Field test is performed in diverse environments, in which temperature varies across a wide range. As temperature affects a circuit delay greatly, accurate temperature monitors are required. They should be placed at various locations on a chip including hot spots. This paper proposes a flexible ring-oscillator-based monitor that accurately measures voltage as well as temperature at the same time. The...
The continuously increasing complexity and size of the modern high performance design often introduces the testability barriers which either restrict the desirable test quality, or require extended test generation time. To detect such testability barriers and accurately estimate the test coverage quickly is important to minimize the risk of test quality issue or any later stage design change. The...
As the sliding parameter of track is hard-to-measure when Agricultural Tracked Robot (ATR) is moving in complicated farmland environment, an estimation method for sliding parameters of ATR based on UKF is proposed. A kinematics equation and a measurement equation of ATR are deduced by kinematics principle, and then the precision position parameters of ATR is calculated. Sliding parameters which cannot...
Stratified Sampling is one of the most widely used sampling techniques as it increases the precision of the estimate of the survey variable. On the other hand, calibration estimation is a method of adjusting the original design weights to improve survey estimates by using auxiliary information such as the known population total (or mean) of the auxiliary variables. A calibration estimator uses calibrated...
IN most surveys, the target variables (items of interest) commonly resemble right-skewed distributions where the Stratified Random Sampling technique is used as a method of sampling and estimation. The methodology of constructing strata is called stratification. Over a particular characteristic chosen as the stratification variable (such as gender, geographical region, ethnicity, or any natural criteria),...
Uncertainty is one of the most difficult factors to handle when we wish to develop an algorithm for robot motion planning in real circumstances. This paper presents a solution for a robot to deal with "lack of observation" in the scope of object manipulation. Considering a robotic bartender that picks up a glass filled with an unknown amount of water and tilts it to pour the water into empty...
Estimation of human activities using regression techniques has been performed in this paper. The activities considered for investigation are sitting, standing and walking. As the number of independent variable considered in the proposed work is more than two, Multiple Variate Regression (MVR) technique is applied to estimate the activities. From the performance analysis, it is found that this technique...
Recently, robust estimators are expected in various fields such as signal processing and machine learning. In our previous work, we proposed Evolution Strategy Sample Consensus (ESSAC) as a new robust estimator method and improved a trade off between a calculation time and stability of SAmple Consensus (SAC) algorithms. In this paper, we show several experiments for behavior analysis of ESSAC in order...
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