Hojjat Salehinejad

Dynamic fuzzy logic-ant colony system-based route selection system

Route selection in metropolises based on specific desires is a major problem for city travelers as well as a challenging demand of car navigation systems. This paper introduces a multiparameter route selection system which employs fuzzy logic (FL) for local pheromone updating of an ant colony system (ACS) in detection of optimum multiparameter direction between two desired points, origin and destination (O/D). The importance rates of parameters such as path length and traffic are adjustable by the user. In this system, online traffic data are supplied directly by a traffic control center (TCC) and further minutes traffic data are predicted by employing artificial neural networks (ANNs). The proposed system is simulated on a region of London, United Kingdom, and the results are evaluated.

A new ant algorithm based vehicle navigation system: A wireless networking approach

This paper introduces a new wireless networking approach to multiparameter vehicle navigation systems based on ant algorithm. The proposed system finds the optimum multiparameter route between a pair of origin and destination (O/D). The importance rate of each parameter is adjustable by the user. This system acquires traffic data in online and offline modes. In online mode, traffic data are available from a traffic control center (TCC) using wireless networks. In this mode, an artificial neural network (ANN) is employed for traffic estimation of future minutes as the journey time delay is considered. In offline mode, traffic and other required data are available from the system memory, which contains statistical and historical data of parameters. In order to have a more user friendly system, the system is able of recommending more than one direction as well as considering previous selected routes of the user. The proposed system is simulated on a part of Kerman city, Iran, and the results indicate its feasibility and performance.

A New Route Selection System: Multiparameter Ant Algorithm Based Vehicle Navigation Approach

In this paper, a dynamic multiparameter ant algorithm based route selection system is proposed. This system finds optimum multiparameter route between two desired points, origin and destination (O/D). This method recognizes routes according to user desired parameters in two traffic information availability (online/offline) modes. In the online mode, routes traffic conditions are supplied by a traffic control center (TCC). Since the online system might rarely be unavailable, an offline system is considered. The offline system uses routes statistical and historical conditions, saved in the memory of system, and employs artificial neural networks (ANNs) for traffic estimation. The proposed method is simulated on a part of London, UK, and the results indicate its feasibility and performance.

A metaheuristic approach to spectrum assignment for opportunistic spectrum access

The prevalent static spectrum assignment brings forth spectrum holes and poor utilization in spectrum allocation. This issue has motivated researchers to introduce the open spectrum approach to spectrum access, which is enabled by software defined radio (SDR) technology. In this paper, an approximate nondeterministic ant colony based algorithm is proposed to resolve achieved spectrum allocation problems from NP-hard graph coloring problems (GCPs). This algorithm is a new approach to spectrum assignment problem versus traditional complex and heavy computational load, but with deterministic solutions algorithms.

PAPR Reduction of OFDM Signals by Novel Global Harmony Search in PTS Scheme

The orthogonal frequency division multiplexing (OFDM) modulation technique is one of the key strategies for multiuser signal transmission especially in smart grids and wind farms. This paper introduces an approach for peak-to-average power ratio (PAPR) reduction of such signals based on novel global harmony search (NGHS) and partial transmit sequence (PTS) schemes. In PTS technique, the data block to be transmitted is partitioned into disjoint subblocks, which are combined using phase factors to minimize PAPR. The PTS requires an exhaustive search over all combinations of allowed phase factors. Therefore, with respect to the fast implementation and simplicity of NGHS technique, we could achieve significant reduction of PAPR.

A Pistachio Nuts Classification Technique: An ANN Based Signal Processing Scheme

This paper introduces an intelligent system for pistachio nuts classification using artificial neural networks (ANNs). The employed ANN is trained based on analyzing of acoustic signals, generated from pistachios impacts with a steel plate. The fast Fourier transform (FFT), discrete cosine transform (DCT), and discrete wavelet transform (DWT) are employed and compared for processing the signals. In order to restrict the signals dimensions, principle component analysis (PCA) algorithm is used. The experimental results are demonstrated for various types of ANNs with different number of hidden layers and neurons to establish optimum result. The results demonstrate feasibility and performance of the proposed method with an accuracy of more than 99.89%.

Intelligent Navigation of Emergency Vehicles

This paper presents a centralized structure for optimum navigation of emergency vehicles with emphasis on ambulances in disaster situations. In this system, an enhanced fuzzy controlled ant colony system (FCACS) based search engine is proposed for optimum route selection. Performance of the system is evaluated by simulating it on a part on London, UK.

MPEG-2 standard system: A new blind watermarking approach using spread spectrum method

In this paper, a new method for blind watermarking in MPEG-2 standard video system is proposed. In this method, Walsh codes are used for coding watermark bits in spread spectrum. The watermark information vector (WIV) is obtained by applying DCT on the coded watermark bits. The watermarked video is transmitted with a few alternations in comparison of the host video. Therefore, the peak signal to noise ratio (PSNR), influenced by watermarking, is high in this method. Simulation results express reasonable resistance versus most of typical attacks and bit rate has a trivial increment in this method.