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In previous work we considered the problem of estimating target location parameters using an adaptive sensing paradigm, wherein one attempts to choose the most informative measurement from a set of possibilities characterized by a linear measurement matrix. Here we extend that work to target tracking. At each step in a discrete-time Bayesian filter, a measurement matrix is chosen to illuminate in...
This paper is aimed at evaluating the semantic information content of multiscale, low-level image segmentation. As a method of doing this, we use selected features of segmentation for semantic classification of real images. To estimate the relative measure of the information content of our features, we compare the results of classifications we obtain using them with those obtained by others using...
Inspired from the mechanism of Fuzzy C-means (FCMs) which introduces a degree of fuzziness on the dissimilarity function based on distances, a fuzzy Expectation Maximization (EM) algorithm for Gaussian Mixture Models (GMMs) is proposed in this paper. In the fuzzy EM algorithm, the dissimilarity function is defined as the multiplicative inverse of probability density function. Different from FCMs,...
Ever increasing complexity of SoCs has resulted in starting the system design at a higher level of abstraction. System-level design methodology envisages step-wise refinement of high-level models towards final RTL. However, current practices are limited to only interface-refinement and the true functionality refinement is performed by developing a different model for each abstraction-level. This results...
Edge contraction simplification based on DEM terrain algorithm is proposed as a new terrain simplification algorithm which is based on DEM terrain data characteristics. The algorithm introduces the gradient of triangle, and combines with gradient and the length of edges as weight of the vertex to represent the importance of a vertex. By using the vertex weight, we can constrain the region being affected...
In this paper, we present an adaptive sparse factorization method for even-determined and over-determined blind source separation, where the sources are assumed to be sparse. The objective of our method is to find a demixing matrix to make the output signal as sparse as possible. First, a cost function measuring the sparsity of the output signals is introduced. Then an adaptive algorithm for the learning...
It is an all-important and pivotal technology to translate dosage of each herb in a prescription into effect intensity measured by some models. In this paper, we present relevant Chinese medicine (short in CM) knowledge used for mining of prescription efficacies, and studying necessity of measuring "how effect of any herb depends on dosage" for CM AI systems, and discuss relevant issues...
Service process usually needs to be tailored for reuse because of change of context. In this paper, we present a mining approach to mining process change sequences based on different context using partial derivatives of the factors affecting the change context, thus finding the best feasible sequence.
The problem of navigation of the student over learning objects can be solved either by creating relations between learning objects or by using metadata of learning objects stored in concepts space of the domain. Every learning object has such defined metadata in a form of relation to several concepts. Concepts space contains information about structural and dependency relations between concepts. We...
In this work motivated by a hierarchical spatially adaptive image prior that we have developed for additive watermarking; we first, propose a new perceptual mask which improves robustness of additive watermark detectors in the spatial domain. The proposed mask is based on the local image variations along the two principal directions and enhances the watermark's energy while satisfying the imperceptibility...
The emergence of lightweight formal methods tools such as Alloy improves the software design process, by encouraging developers to model and verify their systems before engaging in hideous implementation details. However, an abstract Alloy specification is far from an actual implementation, and manually refining the former into the latter is unfortunately a non-trivial task. This paper identifies...
Software behavior models play an important role in software development. They can be manually generated to specify the intended behavior of a system, or they can be reverse-engineered to capture the actual behavior of the system. Models may differ when they correspond to different versions of the system, or they may contain faults or inaccuracies. In these circumstances, it is important to be able...
In WSN-based surveillance systems power conservation is an important issue but one must also ensure that the application's objectives are met. In this paper, we jointly address the problem of coverage, disambigation and adaptive scheduling of sensor node's activity to extend the network lifetime while fulfilling a critical surveillance application needs. We first present a distributed algorithm that...
This paper describes a step-size parameter adaptation technique of multi-channel semi-blind independent component analysis (MCSB-ICA) for a ??barge-in-able?? robot audition system. By ??barge-in??, we mean that the user can speak simultaneously when the robot is speaking.We focused on MCSB-ICA to achieve such an audition system because it can separate a user's and a robot's speech under reverberant...
This paper presents a case study implementation of a fading channel model for a recently introduced Global Positioning System (GPS) simulator from National Instruments. Existing models are discussed and implementation aspects are presented for a model which combines statistical properties of different multipath channels. The NI's GPS simulator is implemented in an open development environment, LabVIEW,...
The particle swarm optimization method (PSO) is one of popular metaheuristic methods for global optimization problems. Although the PSO is simple and shows a good performance of finding a good solution, it is reported that almost all particles sometimes converge to an undesirable local minimum for some problems. Thus, many kinds of improved methods have been proposed to keep the diversity of the search...
This paper considers user equilibrium as a nonlinear complementarity problem when the Jacobian of arc travel cost function is symmetric and asymmetric. It shows solutions of user equilibrium exist and corresponding arc flow is unique. It also presents a novel modified FBLSA algorithm which makes full use of the advantage of dealing with large-size road network of column generation method.Finally,numerical...
Intermediate level avionics maintenance requires diagnostic assessment, repair, and flight certification steps. The current Automated Test Systems (ATS) are primarily designed to verify equipment end-to-end function (flight certification), so they are not optimized to support diagnostic procedures. An operator typically performs problem diagnosis at the beginning of the end-to-end test without any...
In the context of distributed and open systems, the dynamic evolution of the distributed entities (or services) and their adaptation is one of the main prevailing challenges. In this paper, our aim is to show that is possible to automate (at least partially) the discovery, the selection and the adaptation of components, on the one hand associating a semantic description based on functional and non-functional...
In literature, a stochastic model for spreading nodes in a cellular cell is available. Despite its existence, the current method does not offer any versatility in dealing with sectored layers. Of course, this needed adaptability could be created synthetically through heuristic means. However, due to selective sampling, such practice dissolves the true randomness sought. Hence, in this paper, a universal...
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