The recent increasing threat of radiological weapons technologies has highlighted the need for superior detection of hazardous emission sources. One promising area of technological development is radiation source detection using tracing mobile robot. In this paper, a novel algorithm based on GA is proposed for localization problem of such dangerous source using single robot. In which, if the estimated source location is gathered, the algorithm process is being terminated. The adaptive GA based on fuzzy logic is also introduced for comparison. Simulation results indicate that the proposed adaptive genetic algorithm have a better performance and faster than GA. In addition, the paper presents an investigation of radiation source localization by addressing the explanation of two novel algorithms that are assumed when considering group of autonomous mobile robots system.
of the person authentication system lacks perfection due to face poses and illumination variation. One more problem in person authentication is the selection of source for feature generation. In this work, videos have been recorded with variations in poses. The videos have been taken in normal office lighting condition. Videos of persons are taken in three situations. First when faces are kept normal, then with smile facial expression and third during speech. Second session of video recording is done similar to the first session with a time gap. This work employs a powerful method to identify the video frames which have single face without pose and excerpt necessary number of frames from the video. Methods are used to automatically identify the mouth area. Features are generated from mouth area in such a way to overcome the issues due to illumination variation. The features created from the first and second session are used to train and test respectively a neural network for person authentication. Among several neural network models, auto associative neural network is used due to its features distribution capturing ability. Person authentication capacity is compared while features created from normal face, features created from smile expression, and visual speech. Equal error rate is used as a tool to compare the capacity of person authentication. The outcome of this project is that while intensity based feature vectors like this is used for person authentication, the visual speech is more efficient than normal face, and face with smile expression performs the lowest.
With the need of traversing a specified path in shortest time increases the demand of optimizing the route traversed. This optimization involves path or trajectory planning along with the implementation of an optimization algorithm. Several Swarm Intelligence techniques have been applied to solve the optimization problems. In this paper, we discuss the optimization achieved with the usage of one of the Swarm Intelligence algorithms namely, Artificial Bee colony Optimization. Implementation of Artificial Bee Colony Optimization helps in finding the shortest, collision-free path from a specified starting point to the predetermined destination or goal point with consideration to static or dynamic obstacles.
Bioinformatics is a data intensive field of research and development. DNA microarray used to better understand form of saccharomyces cerevisiae disease such as cancer. Microarray allows us to diagnose and treat patients more successfully. Statistical method devoted to detection in DNA from microarray data, the inherent challenges in data quality associated with most filter techniques remains a challenging problem in microarray association studies. Applying methods of simulation studies and a genome-wide association microarray study in saccharomyces cerevisiae, that find current approach significantly improve DNA microarray cell reduces the yeast value rates and false positive genes variation. Clustering is the one of the main techniques for data mining. Microarray is the evolutionary history for a set of evolutionary related genes expression data. There are number of different distance based methods of which two are dealt with here: Euclidean method and Manhattan method.. A method for construction of distance based gens expression using clustering is proposed and implemented on different saccharomyces cerevisiae samples. Evolutionary distances between two or more genes are calculated using p-distance method. Multiple samples are applied on different datasets. Hierarchical clustering and k-mean clustering are constructed for different datasets from available data using both the distance based methods. Then, final cluster is constructed using these closely related filter dataset. General Terms Thresholding, Bioinformatics, Gene’s expression, Microarray, Data mining, Series analysis.
This paper presents a deconverting generator for Malayalam language using Universal Networking Language (UNL) for Machine Translation. UNL being an Interlingua representation, conveyed as directed hyper graph with relations and attributes of source language sentence. A set of Universal Words are generated from the source language with its semantic representation, are mapped to UNL features. The work involves identifying the dependent features like syntactic, semantic and lexical features of target language. UNL Relations, UNL Attributes and Universal Word (UW), which are the building blocks of UNL are identified and mapped to the dependent features of Malayalam. Lexical mapping of UWs to root words of Malayalam was done through UNL-Malayalam Word Dictionary. The deconversion is tested against 100 Malayalam Sentences that has achieved an appreciable F-measure score of 0.978. . General Terms Malayalam Deconversion, Universal Networking Language, Interlingua Machine Translation.
This paper investigates the use of support vector machine (SVM) in machine learning. The purpose of this study is to experiment of SVM in e-learning methodology. Main constituent of this research is to innovate and implement pedagogical hypermedia document. In the article [19] artificial neural network (ANN) has been used to test learners learning capabilities, which is now being replaced by SVM in the present article to understand statistical analysis of learner’s knowledge level. By this experiment it is suggested that this methodology is over and above ANN which is used as mathematical and statistical results.
wireless MANET is a collection of communication nodes that wants to communicate with each other, but has no fixed infrastructure and no re-determined topology of links. Mobile ad hoc network is a collection of wireless mobile nodes dynamically forming a network topology without the use of any existing network infrastructure. The purpose of the present work is to compare the performance of AODV, DSR and DSDV MANET protocols for different number of nodes and mobility with different traffic channels CBR and FTP. The AODV and DSR are reactive or On demand routing protocol and DSDV is a proactive or table driven routing protocol. The performance metrics considered in this work includes packet delivery ratio, throughput and average end-to- end delay. Results were obtained after simulations performed using NS2.