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Realization of automated reading and video processing to study efficient algorithms for tracking the dynamics of growth and spread of spores of mesophilic and thermophilic microorganisms were studied. The basic steps based on the algorithm of automatic counting and tracking spore colonies in real time were investigated.
In this paper an optimization method of a dual-band wearable antenna is presented. The antenna geometry is described with 8 geometrical parameters that are automatically adjusted with the use of a evolutionary algorithm to obtain the impedance matching of antenna located in the proximity of a human body. The antenna has been designed to operate in the ISM band which covers the frequency range of 2...
Reliable operation of electrical power systems in the presence of multiple critical N — k contingencies is an important challenge for the system operators. Identifying all the possible N — k critical contingencies to design effective mitigation strategies is computationally infeasible due to the combinatorial explosion of the search space. This paper describes two heuristic algorithms based on the...
Adapting quality based on the underlying network conditions is one of the most important components of video streaming applications. Today HTTP adaptive video streaming systems are used prevalently around the world and this tendency led MPEG group to standardize DASH. Scalable video coding can be used as an alternative codec in DASH applications. In this case quality adaptation can be done by adding...
In this paper, we propose a novel algorithm for intelligent drawing based on context awareness in dynamic geometry system. First, the algorithm collects the context information of geometric graph. Second, during the user is drawing, if the user's current operations and context information meet a matching condition, the algorithm will recommend the next graph to be drawn. With this algorithm, users...
The capacitated vehicle routing problem (CVRP) is one of the most challenging problems in the optimization of distribution. Most approaches can solve case studies involving less than 100 nodes to optimality, but time-consuming. To overcome the limitation, this paper presents a novel two-phase heuristic approach for the capacitated vehicle routing problem. Phase I aims to identifying sets of cost-effective...
In the last few years, with the emergence of ambient assisted living, the study of human behavioral pattern took a wide interest from research communities around the world. In many literatures, pattern recognition was widely adopted approach to implements in human behavior study from computing perspective. Pattern recognition brings a promising results in terms of accuracy for modeling human behavior...
Cloud storage originates from cloud computing, and brings new model of data sharing and storage, which provided great convenience for users. However, cloud environment confronts with many problems, and one of the most important problems is the security problem. This paper researched on security problem based on encryption, and proposed a secure and efficient scheme according to system characteristics...
The tree-based tags anti-collision algorithm is an important method in the anti-collision algorithms. In this paper, several typical tree algorithms are evaluated. The comparison of algorithms is summarized including time complexity, communication complexity and recognition, and the characteristics and disadvantages of each algorithm are pointed out. Finally, the improvement strategies of tree anti-collision...
In this paper, an adaptive genetic algorithm based on multi-population elite selection strategy is proposed. The multi-population elite selection strategy is used to preserve the optimal individuals of each group. Finally, these optimal individuals formed a population, and then use the improved adaptive genetic algorithm to finish the solution. By comparing the simulation experiments of TSP problem...
A Field Programmable Gate Array (FPGA) implementation of a recently-developed learning algorithm applicable for feedforward neural networks with a single hidden layer is presented in this paper. Of the several possible applications that require online and sequential learning, the one chosen here is that of identification of nonlinear dynamical systems. Real-time implementation of the learning algorithm...
The heaviest challenge in wireless is to provide seamless connectivity even during mobility. In our paper, we have proposed a scenario where we use a telemedicine vehicle which supports IEEE 802.11b and Long Term Evolution (LTE). The connection between heterogeneous networks is done through the support of the proposed Dynamic Media Selection algorithm (DMS). DMS comes into the scenario when the mobile...
Smart, intuitive and efficient transportation system is crucial for smart cities. A smart solution to transform the existing public transportation infrastructure is proposed here. Internet of Things (IoT) based hardware modules needed for implementation are discussed. Dijkstra's algorithm for shortest path has been modified to incorporate traffic conditions and additional features. The proposed algorithm...
Swarm robots have the potential to be utilized as a part of various applications due to the obvious advantages they offer, namely their resilience, their adaptability to different environments, and their reduced reliance on humans, particularly for hazardous or laborious tasks such as search and rescue operations (SaR). Several particle swarm optimization (PSO) algorithms have been proposed and developed...
The paper considers the problem of increasing the speed of monochrome multitone image (MMI) approximation, which consists in replacement of original palette with palette that has less number of tones. Often, for solving such a problem, the heuristic optimization-search algorithms are used. Their drawback is that, they cannot guarantee to find the solution for the given optimization criteria, which...
This paper presents the computational procedure of the most generalized version of the stabilized fast Recursive Least Squares (RLS) adaptive filtering algorithm. It is considered the algorithm for the adaptive filters with an unequal number of weights in channels. The using of the sliding window and dynamic regularization, when the correlation matrix is estimated, allows the algorithm to process...
The objective of this work is to evaluate performance of three phasor estimation algorithms proposed in literature, under electrical system signals. Signals obtained from electrical systems response to disturbances in which the electrical system is stable or operates in a condition of transient instability, frequency or voltage. The performance during the transient state of the system is evaluated...
The goal of weapon target assignment (WTA), which is one of the classic military operational problems, is to determine the best assignment scheme in order to gain the most benefit while satisfying a number of constraints deriving from the capability of available platforms and munitions (or weapons), as well as target characteristics. In order to overcome the drawbacks of premature convergence of exiting...
Glottal closure instant (GCI) is an important feature in many speech processing applications. Many algorithms have been proposed for GCI estimation from speech signals. The objective of the proposed work is to provide a comprehensive analysis of the performance of various GCI estimation algorithms for singing voice in Indian context. GCI estimation algorithms such as Dynamic Programming Phase Slope...
In context of manufacturing, numerous models are designed to appropriately represent the facility layout problem (FLP) and a variety of optimization methods have been applied to solve these models. The ultimate goal of these methods is to find optimal solutions, In regard to Swarm Intelligence (SI), Ant Colony Optimization (ACO) and Particle Swarm Optimization (PSO) are regarded as the most important...
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