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The Lyapunov second method is developed for linear coupled system of delay differential and functional equations. By conventional approaches such equations may be reduced to the neutral systems and the known results for the latter may be exploited. In the present paper we introduce a new approach by constructing Lyapunov-Krasovskii functional that corresponds directly to the descriptor form of the...
Solving unstructured linear differential-algebraic equations in the presence of numeric uncertainty in the equation coefficients is an ill-posed problem — arbitrarily small changes in the coefficients of the leading matrix may change the solution completely. To obtain well-posedness, assumptions must be made, even for DAE of index 0. In this work, we propose assumptions about the system poles to obtain...
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.
In this paper control of high index or even non-regular linear descriptor systems subject to general quadratic constraints is considered. This setup especially includes the H∞ control problem and the design for strict passivity. In a previous paper [9] this problem was addressed by a linearizing change of variables approach under a certain assumption on the structure of the algebraic equations within...
In this paper, we propose a novel method for designing linear predictors suitable for lossless image coding. In general, the Minimum Mean Square Error (MMSE) is an important concept in image coding. However, predictors which are optimized on the basis of the MSE criterion are not necessarily optimum from a viewpoint of coding efficiency. Thereupon our method optimizes a predictor so that a cost function...
There are many studies regarding the IT (Information Technology) value, however until now there are not yet any researches discussing an exact method to estimate this value. Accordingly, this study tries to present a methodology to assess this value using both qualitative and quantitative methods. The offered methodology addresses valuation of IT by means of IT value definition approach as a division...
Ray-triangle intersection is an important operation in algorithms like ray tracing. Meanwhile, it is often the most time-consuming operation especially when there are a lot of triangles in the scene. In this paper, we proposed an efficient ray-triangle intersection algorithm for tunnel models. Its time complexity per ray is O(√n) with a very small coefficient, where n is the number of triangles in...
Subscripts using induction variables that cannot be expressed as a formula in terms of the enclosing-loop indices appear in the low-level implementation of common programming abstractions such as Alter, or stack operations and pose significant challenges to automatic parallelization. Because the complexity of such induction variables is often due to their conditional evaluation across the iteration...
In modern network devices the query performance for a hashing method degrades sharply due to non-determinism incurred by hash collision. Although previous collision resolution mechanisms have made remarkable progress, there is still much room to improve deterministic performance by resolving hash collisions more effectively. Further, the use of probabilistic, on-chip, summaries such as Bloom filters...
In Long Term Evolution (LTE) systems, cell search is performed by each User Equipment (UE), to detect the cell identity. The received subframe index and radio frame timings in the downlink are also acquired. Cell search is performed using the Primary Synchronization Signal (PSS) and Secondary Synchronization Signal (SSS) in a hierarchical manner. In this paper we have simulated the schemes for PSS...
In SDN, forwarding devices can only operate correctly while connected to a logically centralized controller. To avoid single-point-of-failure, controller architectures are usually implemented as distributed systems. In this context, recent literature identified fundamental issues, such as device isolation and controller overload, and proposed controller placement strategies to tackle them. However,...
The micro RNAs or miRNAs are short non-coding RNAs, which are capable in regulating gene expression in post-transcriptional level. A huge volume of data is generated by expression profiling of miRNAs. From various studies it has been proved that a large proportion of miRNAs tend to form clusters on chromosome. So, in this article we are proposing a multi-objective optimization based clustering algorithm...
This paper presents a new methodology to assist in the tuning of Multivariable Model Predictive Controllers. It is based on the definition of several performance indexes which are averaged over long intervals using recursive filters. The computational load to obtain the indexes is very low. The indexes analysis can guide the engineer to achieve the control objective. A case study is presented to show...
The TCP/IP suite protocol is one of the most widespread protocols groups for communication at long, average and short distances involving computer systems. Then, for trying the industrial networks standardization, for some years, it was also implemented in the industrial environment. The manuscript aims to propose a new way to accomplish the fieldbus modules control, using a flexible distributed architecture...
As a common software engineering practice, software dynamic defect models are used to estimate and predict the software testing process progress, effectiveness, and the number of future defects over the next weeks. Practitioners use these dynamic defect models to ensure that the delivery of software to customers is possible from the quality point of view and to predict the release date. Old literature...
Because of the increasing number of vehicles, traffic congestion has become a significant problem for many big cities. Numeric representations of traffic congestion cause deep concern in the population, and existing indices of traffic congestion are difficult to understand. In this paper, we propose a new concept of a traffic congestion score (TCS) that is computed by using an approximation of the...
We consider centralized wireless networks for users of video streaming services. If the network is congested, wireless channel resources can be insufficient to satisfy all user requests. In this case QoE with some users may heavily degrade (video playback may periodically interrupt due to rebuffering effect, or startup buffering can take an intolerably long time). These negative effects can be partly...
The great development in the area of evolutionary algorithms in recent decades has increased the range of applications of these tools and improved its performance in different fronts. In particular, the Differential Evolution (DE) algorithm has proven to be a simple and efficient optimizer in several contexts. Despite of its success, its performance is closely related to the choice of variation operators...
The impact of a LiF/Al/Au composite layer on both electrical performance and optical performance of high contrast-ratio tandem organic light emitting devices (HCT-OLEDs) operating in wide viewing angle regimes is investigated. The strong photon emission from Al/Au/ NPB(N,N′-di(naphthalene-1-yl)- N,N′-diphenylbenzidine) /Alq3(tris8-hydroxyquinoline-aluminum)/LiF/Al and the symmetrical current-voltage...
Cuckoo search is a swarm-intelligence-based algorithm that is very effective for solving highly nonlinear optimization problems. In this paper, the multiobjective cuckoo search is extended so as to obtain high-quality Pareto fronts more accurately for multiobjective optimization problems with complex constraints. The proposed approach uses a combination of the cuckoo search with non-dominated sorting...
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