This paper aims at developing a support vector machine for biometric authentication of on-line signature supported the feature values within the info. A collection of signature samples area unit collected from people and these signature samples area unit are scanned in an exceedingly grey scale scanner. These scanned signature pictures area unit are then subjected to variety of image improvement operations like binarization, complementation, filtering, cutting and edge detection. For character recognition, support vector machines area unit used, that area unit famed for his or her high degree of accuracy, a result which may even be ascertained as software design objectory from the check eventualities. From these preprocessed signatures, options area unit are extracted and held on in an exceedingly info individually. The worth from the info area unit are fed to the support vector machine which pulls a hyper plane and classifies the signature into original or solid supported a selected feature value. We also compare our methods performance with Artificial Neural Network’s (ANN) back propagation method.
Microbial Fuel Cells (MFCs) are emerging as novel equipment to harvest bioelectricity from organic matter. In this study, double and single chamber microbial fuel cells, six units in all, were fabricated and simultaneously operated in batch mode for period of 30 days. Natural cattle dung slurry was used as substrate along with methylene blue and potassium permanganate as mediators to enhance the electron transfer rate, and further augment electrical parameters. Experimentation of MFCs with three types of anode electrodes viz. carbon electrode, copper electrode and zinc electrode subjected to similar conditions was evaluated. Performance was evaluated independently and compared by plotting polarization data generated during the testing period. Maximum current and power densities have been achieved from these MFCs and best attained values are 1858 mA/m2 and 1465 mW/m2 for single chamber zinc-carbon electrode MFC. The analogous result presents that metal electrode zinc MFC has the better power density as compare to carbon electrode MFC. Being more conductive, metal electrodes have the better capability to replace the carbon family electrodes for MFC based power applications. Although the MFCs power generation is low, but modifications in configuration, electrodes, mediators and power management may enhance the power output to a significant level for commercialization of this technology.
The \"Theory of Symmetry in the Holy Qur\'an\" states that the Holy Qur\'an in the first kind is divided into two halves (114/2), in which every Sura (Chapter) in the first half has a symmetric relation with a corresponding Sura in the second half, similarly in each Sura as a second kind; each verse or group of verses in the first half corresponds to a verse or group of verses in the second half, and this applicable to the verse itself, too, as a third kind. It is like the symmetry in the universe, similar to the symmetry between the two hands, or in the water molecule, or a symmetric crystal; like a sequence in a necklace. The purpose of this work is to establish the principle and calling the scholars to apply the theory to the different sciences, fields and topics of the Holy Qur\'an.
Path planning for mobile robot navigation between source and destination under unknown\nmodel free environment is a difficult part of robot navigation control. In this paper, an\nIntegrated Improved QLearning (IIQL) algorithm navigation strategies is proposed for mobile\nrobot in an unknown environment. This exploration strategy is performed using ε-greedy with\nsoftmax exploration and the exploitation is performed using heuristic searching techniques\nare provided to improve the exploration state space and reduce the convergence time of the\nmobile robot. This process is evaluated with the concept of lookup table which stores best\nQvalue and its performance of the proposed method is measured in terms of time taken and\noptimal path comparison with traditional Qlearning (TQL) and other reinforcement learning\nalgorithms. Meanwhile, the reduction in orientation angle and path length has significance in\nthe robotics literature of the energy consumption. This effort greatly reduces the convergence\nrate for the Qtable as the results obtained from the simulations indicate an excellent level of\nperformance once compared with the traditional QLearning. The validation of the algorithm\nis studied in simulated mobile robot.\nOur main results and findings are as follows:\n1. 34.65% convergence time faster than other algorithms.\n2. Utility of the environment are maximized\n3.Universal, Markov property is used for making the decision as on the environment\n4. Find the optimal path with the integrated improved Q-learning is 80.26% step movement.\n5. 50% of energy consumption is improved with help of best Qvalue.
In this research paper a self–lift CUK converter is proposed to step up the output voltage obtained from a solar cell based system. For triggering the self–lift CUK converter, rectified sinusoidal pulse width modulation (RSPWM) is adopted, which is a new approach. The said converter with inverter coordination will provide suitable AC voltage for grid connection. The self–lift CUK converter with inverter is implemented in MATLAB simulation platform and the results of simulation are analytically verified. The simulated converter combination is connected to the a IEEE 15 – bus distribution network and the results are verified.
El presente trabajo explora las necesidades del idioma ingles por parte de los prestadores de servicios en tres areas cruciales del sector turístico: el sector medico, la hoteleria y el ambito publico. El documento que se presenta se deriva de la informacion que se presento en el panel el manejo del idioma ingles en el marco de la 8ª Catedra Patrimonial Internacional en Turismo Sergio Molina en Ciudad Juarez, Chihuahua, Mexico. De la misma manera se analiza la condicion actual y el posible alcance del programa de ingles en la licenciatura de Turismo en la Universidad Autonoma de Ciudad Juarez. El estudio realizado es de caracter cualitativo en el cual se utilizo la tecnica del panel, asi como entrevistas e investigacion documental. Los hallazgos de la investigacion arrojan una falta de proficiencia del idioma ingles por parte de los empleados que tienen contacto con gente que llega a solicitar un servicio en una de las ares economicas relacionadas con el turismo como lo es la hoteleria. De la misma manera, en el sector medico y el ambito publico se identifican situaciones en las que es apremiante que el personal se comunique en el idioma ingles. Por otro lado se concluye que la Universidad Autónoma de Ciudad Juarez esta realizando un esfuerzo desde sus diferentes instancias para formar futuros profesionales en turismo con un perfil bilingue, y por consecuencia tenga un impacto en los sectores bajo estudio en esta investigacion.