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Dynamic vectors are among the most commonly used data structures in programming. They provide constant time random access and resizable data storage. Additionally, they provide constant time insertion (pushback) and deletion (popback) at the end of the sequence. However, in a multithreaded system, concurrent pushback and popback operations attempt to update the same shared object, creating a synchronization...
A new simple distance measure has been proposed in which each vector element is weighted in the distance calculation according to its importance as determined by taking its statistics into account. In order to reflect the characteristics of the class, the element-significance factors are calculated based on intraclass variances and mean values of vector elements and utilized in the distance measure...
Model Predictive Control (MPC) is a popular advanced control strategy that is implemented by determining an optimal control sequence at each time step. One of the major contributors to MPC's computational complexity is the length of the control sequence or, equivalently, the number of optimisation parameters. This paper analyses the null controllable sets, and their related finite horizon approximation,...
This paper discusses the design and implementation of a low bit rate codec along with its performance at different bit rates. The International Telecommunications Union's G.728 CELP speech coder is specifically designed for low coding delay and toll quality speech at a rate of 16kbps. Here, we present the design of a CELP(Code Excited Linear Prediction) algorithm similar to the above coder, but can...
As the first step in resolving stability of a manufacturing system in the sense of deadlock, calculation of circular waits might involve time and memory consuming calculations. In this paper we propose an efficient method for determination of circular waits in multiple-reentrant flowline class (MRF) of manufacturing systems. We introduce machine-job incidence (MJI) matrix that can be obtained from...
We consider interconnected nonlinear systems with external inputs. Each of the subsystems is assumed to be input-to-state stable (ISS). Sufficient conditions of small-gain type are provided guaranteeing that the interconnection is ISS. To this end we extend recently obtained small gain theorems to a more general type of interconnections. The small gain theorem proved here is applicable to situations...
Finite-time optimal control problems with quadratic performance index for linear systems with linear constraints can be transformed into Quadratic Programs (QPs). Model Predictive Control requires the online solution of such QPs. This can be obtained by using a QP solver or evaluating the associated explicit solution. Objective of this note is to shed some light on the complexity of the two approaches.
This paper provides a way to classify vocal disorders for clinical applications, thanks to the idea of geometric signal separation in a feature space. It is well known that the human voice source generates complex signals including subharmonics and toroidal oscillations. Typical chaotic quantities — like the entropy and the dimension of the attractor — together with autocorrelation function, power...
The central object of interest of this paper are systems of linear constant coefficient ordinary differential equations of arbitrary order of the form s(d/dt)w = M(d/dt)f with G and M given, but otherwise arbitrary, polynomial matrices. In these equations w and f are vector-valued functions of which f is assumed to be given, while w is the solution to (1) that we are looking for. Alongside (1) we...
The problem of the path generation for the autonomous robot vehicle in environment with stationary and moving obstacles is considered. An algorithm, named MKBC, based on modified Kohonen rule and behavioral cloning is developed. The MKBC algorithm, as improvement of RBF neural network, uses the training values as weighting values, rather then values from the previous time. This enables an intelligent...
This paper addresses the robust fault detection observer design issue for linear time invariant (LTI) systems with parameter uncertainties in a polytope and subjected to unknown inputs. The observer design is investigated under the H∞/H− index framework in the finite frequency domain where the generalized KYP lemma is utilized. The threshold design and the worst undetectable fault size estimation...
Nicely Nonlinear LQ-based Control is a novel three-stages technique to easily get a sub-optimal solution to the infinite horizon standard regulation problem for nonlinear systems. It approximates the plant with its second order-truncated Taylor series (stage I), operates a feedback linearization on the resulting linear-quadratic model (stage II) and, then, for the linearized system, solves a classical...
This paper addresses the problem of Multiple Model Adaptive Estimator (MMAE) design for linear process models subjected to parameter uncertainty. MMAE algorithms rely on a finite number of representative models chosen from the original set of possibly infinite plant models. One of the standing issues that arise in the process of MMAE design is the selection of the model-set. Typical questions that...
It has been estimated that the incidence of cognitive deficits in Parkinson's disease (PD), ranging from Mild Cognitive Impairment (MCI) to frank dementia, is six-fold compared to that in the general population. Also, PD involves postganglionic sympathetic failure and, in 25% of patients, autonomic failure. PD patients commonly present a range of ANS-dysfunction related symptoms. Since cognitive impairment...
Biometric template protection systems are expected to meet two major security requirements: irreversibility and unlinkability. We analyze the Bloom filter based iris biometric template protection system recently introduced by Rathgeb et al. at ICB 2013 and IET Biometrics 2014. We demonstrate that the scheme does not achieve unlinkability, presenting a simple attack that in the worst case succeeds...
The next generation intelligent devices need to understand and evolve with the user. Towards this goal, we present a User Graph generation framework that models user's level of interest and knowledge across a set of categories. The user graph is built through an unsupervised and semi-supervised topic modeling process, using latent semantic analysis technology. The self-evolving framework utilizes...
In course of a breaking news event, such as natural calamity, political uproar etc., a massive crowd sourced data is generated over social media which makes social media platforms an important source of information in such scenarios. The value of the information being propagated via social media is being increasingly realised by the news organisations and the journalists. Better tools and methodologies...
Sentiment analysis has been shown to be a useful tool for quantitative analysis in the world of finance. Researchers have shown that the sentiment picked up from the news media can be correlated with movement of the stock market. Here we use the Harvard General Inquirer to determine the sentiment present in Reuter's articles. After first generating positive and negative sentiment data we use the Kalman...
A Rough Set (RS) based dataset reduction method using SWARM optimization algorithm and a cluster validation function is proposed. In the proposed approach, the user specifies the classification quality required in advance, and the method then finds the attribute reducts and perform attribute discretization to satisfy the desired quality of classification. While many other solutions are possible, the...
There have been a large number of external validity indices proposed for cluster validity. One such class of cluster comparison indices is the information theoretic measures, due to their strong mathematical foundation and their ability to detect non-linear relationships. However, they are devised for evaluating crisp (hard) partitions. In this paper, we generalize eight information theoretic crisp...
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