The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Particle impoverishment, which always leads to accuracy decreasing, is a classical problem of the traditional particle filter resampling. A particle filter resampling method based on improved genetic algorithm is proposed in this paper to solve the problem. In the improved algorithm, a genetic resampling step is applied for particle reproduction. The main work of the improved algorithm include two...
Evaluating driving performance of autonomous vehicles is as important as developing automated driving algorithms. In order to ensure passenger safety, evaluation of driving behavior is required before delivering autonomous vehicles to customers. An Interacting Multiple Model (IMM)-based driver evaluation algorithm was developed and it provides various information associated with multiple driving aggressiveness...
The reasonability of technological control for geotechnical structures foundation strength targeted development during the construction is shown. The procedure of the weak soils stabilization and the real time monitoring technological processes management is proposed using the example of Northern Latitudinal Path.
In this paper a novel method to improve theWireless Sensor Network synchronization process by introducing networkcoded messages is proposed. The presented technique outweighs the effects of the channel’s outage probability by employing the available data to refine the estimates of the pairwise clock offsets. By virtue of the proposed technique, the mean square error of the estimator is significantly...
This paper proposes a new spectrum access algorithm based on the Partially Observable Markov Decision Process (POMDP) for Cognitive Radio Networks (CRNs). The proposed algorithm uses the Maximum Likelihood to estimate the licensed channel state transition probabilities based on historical statistics information of the channels. Then, the number of channels sensed by the secondary users in each time...
In this paper, a random FEA (Finite Element Analysis) based reliability analysis method is developed for a new engine combustor design. This method is intended to solve the reliability evaluation problem exhibited in early product design when there is no previous reliability data. It can be implemented to reliability evaluation of structural components of aircraft engines. It consists of four major...
A fast, yet accurate nanoscale IC energy estimation is a design-time desideratum for area-delay-power-reliability optimized circuits and architectures. This paper introduces an IC energy estimation approach, which instead of sequentially propagating workload vectors throughout the circuit, relies on an one time propagation of the workload statistics. To this end, the basic gates need be SPICE pre-characterized...
This paper addresses the problem of choosing the right sources to solicit data from in sensing applications involving broadcast channels, such as those crowdsensing applications where sources share their observations on social media. The goal is to select sources such that expected fusion error is minimized. We assume that soliciting data from a source incurs a cost and that the cost budget is limited...
In recent years, random caches have been proposed as a way to simplify the timing analysis of real-time systems. However, technology-scaling makes caches prone to faults. Fault detection mechanisms can detect permanent faults but they affect the timing analysis of a random cache. This paper introduces a Static Probabilistic Timing Analysis (SPTA) technique that accounts for a permanent fault detection...
Automatic translation of natural languages has been an active body of research in the last decades, especially when it comes to statistical translation which uses machine learning algorithms for translation tasks. Machine translation being a key application in the field of natural language processing, it leads to develop many approaches namely, statistical machine translation and recently neural machine...
This paper proposes eye-diagram estimation methods for voltage-and probability-dependent pulse amplitude modulation (PAM4) signal on stacked through-silicon vias (TSVs). To satisfy demands on a high-speed and small form factor, the number of TSVs and the data rate on the TSVs have been increased. The number of stacked TSVs is related to the electrical performance due to its electrical length. The...
The main role in the task of process remote sensing data of the Earth surface are played algorithms of forming and classification those data. From the statistical point of view the solution is based on the maximum-likelihood method. The paper presents analytical equations for likelihood coefficients and the structural scheme of their forming in the solution of radar signal recognition. To analyze...
The dynamic adaptive streaming over HTTP has been widely used in network video service. Complex network conditions require video services to have good adaptive rate. In order to improve the frequent change of client downloading bit rate and the inconvenience of network condition estimation, a new adaptive rate algorithm for DASH streaming media based on probability prediction is proposed. The sliding...
In the process of solving a wide range of tasks concerning the Earth surface remote sensing and its state monitoring, the main role is played by the algorithm of the surface image forming and the algorithm of images and their fragments classification as well. From the statistical point of view the solution is based on the maximum-likelihood method. The paper presents analytical equations for likelihood...
Failure boundaries are always far away from the center of the design space of variables for low failure probability problems. In order to make full use of samples, a partitioning method of experimental levels is proposed for improving general design of experiments in this paper. The method is implemented by non-uniformly partitioning experimental levels according to the probability density function...
Intelligent Transportation System (ITS) uses traffic data gathered by crowdsensing technology, which can easily get vast amounts of data from ordinary people's mobile devices, to ease congestion. However, crowdsensing also highlights the problem that the abnormal data, which we often call as outliers, may be collected for analyzing and then decrease the performances of ITS. To deal with this problem,...
We introduce a powerful technique to make classifiers more reliable and versatile. Background Check equips classifiers with the ability to assess the difference of unlabelled test data from the training data. In particular, Background Check gives classifiers the capability to (i) perform cautious classification with a reject option, (ii) identify outliers, and (iii) better assess the confidence in...
Algorithms for mining very large graphs, such as those representing online social networks, to discover the relative frequency of small subgraphs within them are of high interest to sociologists, computer scientists and marketeers alike. However, the computation of these network motif statistics via naive enumeration is infeasible for either its prohibitive computational costs or access restrictions...
In today's rapidly changing technological scenario, tech giants revise their strategic alignment every couple of years. As a result, their workforce has to be adapted to the organization's strategy. Members of the workforce who are neither relevant to the strategic alignment, nor can be made relevant by reskilling, have to be either outplaced (i.e. placed in an another job within organization) or...
This paper considers detection performance of linear sparse arrays in the presence of multiple source Direction-Of-Arrivals (DOA). A number of source DOAs greater than the number of physical array elements are randomly generated, without restriction on the angular separation. Two augmentation algorithms are considered before application of traditional spatial spectrum estimation algorithms: MVDR and...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.