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Geographical Information Systems provide versatile information with physical locational perspective. Due to their inherent advantages and features, such systems are used almost by every organization however small or large it may be and even by individuals for various purposes. This paper presents a distributed cloud computing based GIS solution for electrical power utility asset management. License...
Big data denotes to data volumes in the range of zettabytes (1021) and beyond. The world's technological per-capita capacity to store information has roughly doubled every 40 months since the 1980s, as of 2012, every day 2.5 exabytes (2.5×1018) of data were created, as of 2014, every day 2.3 zettabytes (2.3×1021) of data were created [4, 5]. Every year, NASA and the National Science Foundation host...
Uncertainty is an intrinsic facet of human existence. The inherent significance of uncertainty is anything that cannot be allegedly declared with complete confidence. Some of the mathematical models that address uncertainty have already been employed and in use are Probability Theory, Fuzzy Theory, Rough Set, etc. The difference between the empirical and theoretical methods needs to be addressed to...
The emerging technological development has resulted in generation of huge heterogeneous data. To explore database, user approaches towards Database Management System applications by forming SQL queries. User lacks proficiency in the domain of SQL language and finds complexity in formulation of queries, which became need to dive towards Recommendation system. The existing Recommendation system faces...
It is very important to carry out a fast estimation method for long data chain due to the online purpose or the requirement of low compute cost. This paper combines the motion characteristics with the Kalman estimate algorithm to achieve this goal. Measurements are determined according the accelerations of the moving objects so that fulfil the estimation by an irregularly sampling concept. Thus the...
Cloud computing is an umbrella term used to refer to Internet based development and services. It is a virtual pool of resources which are provided to users via Internet. The main root of cloud computing is the abstraction and virtualization. There is a requirement of scheduling to manage the huge amount of data, transmission cost, load balancing and the execution of such amount of data. Cloud computing...
K-Means has been paid attention to many areas recently, however, it is easy to fall into local optimum and the outliers influence the final results. This paper proposes an improved method for k-means clustering. Different from the traditional k-means algorithms, in our algorithm both intracluster compactness and intercluster separation are considered in our new presented method. A new model is established...
This paper presents an investigation of speech recognition accuracy of unknown test patterns using five models when classes for classification of unknown test patterns increase from three to five. GMM, SVM, MLP, RBPNN and LVQ are used and their speech recognition accuracy are studied on five isolated digits. In the first experiment, three isolated words from zero to two are used for training and testing...
This paper presents an implementation of probabilistic and statistical models for speech recognition. Three models namely Gaussian mixture model, hidden markov model and Gaussian mixture model -- universal background model are discussed. In GMM, both speech identification of unknown isolated words and classification of unknown test patterns are discussed. In HMM, speech identification of isolated...
The relationship in Social networking between nodes may be continuous or discontinuous after finite interval of time. To maintain a relationship among nodes may be very complex with increasing number of nodes. The authors have made an extensive study to establish different types of relation in Social Networking with respect to time, length (number of edges) and cost. The authors will try to explain...
An improved algorithm for image mosaic is proposed based on traditional Harris corner detection method. First, by modifying the corner detection area, and corner response function, you can detect the corners more accurately. Then use a method based on K-d tree and RANSAC to match the feature points and purify mismatching points. At last, using the algorithm based on Poisson equation to fuse the spliced...
This paper presents an accurate and automatic algorithm to recognize and count fish in the video footages of fishery operations. The unique character of the approach is that it combines machine learning techniques with statistical methods to fully make use the benefits of these algorithms. The approach consists of three major stages including video data preparation such as noise deduction, preliminary...
Glass chip in liquid injection must be avoided according to the medicine regulations. We develop a system that can detect glass chip automatically. The system imitates the artificial glass chip inspection method which is done by swaying and vibrating the container. An industrial camera acquires a sequence of images during the process. The image data are sent to the computer and our algorithm analyses...
In previous paper score level fusion performance is tested with various matching score proportions with Iris and Palm print images. Here feature level fusion is done using fractional energy of transform with Iris and Palm print biometric traits. The benefit of energy distribution of transforms in higher coefficients is taken here to reduce the feature vector size of image. Iris and Palm print are...
Image denoising is the manipulation of the image data to produce a visually high quality image. There are different types of filters like mean filter, median filter, bilateral filter, wiener filter etc. To remove a single type of noise such as salt and pepper noise, speckle noise, Gaussian noise etc. But if the image is corrupted by mixed noise then these filters do not remove the noise exactly. Here...
In computer vision system, texture refers to the characteristics of an object that appear on its surface. Texture classification is to classify textures in correct texture groups. The accuracy of texture image classification depends on quality of texture features and classification algorithm used. In this paper, Brodatz texture images are used as an experimental data. Features are extracted from texture...
The relative motion control for spacecraft rendezvous and docking is considered. The relative position dynamics described in the target spacecraft's orbital frame, and attitude dynamics of the chaser spacecraft described in the chaser body frame are all formulated in Euler-Lagrange forms. Based on property analysis of the coupled dynamic model a terminalb sliding mode control law is designed for the...
An intelligent hospital information management system was developed to assist the patient at the front desk of a hospital. The patient will be able to learn about the doctors, appointment times, relevant departments, laboratory tests and the specific medicine about his/her medical situation. System will provide an intelligent front desk information service for the patients at the hospital entrance...
An actuator consisting of a pair of pneumatic artificial muscles in antagonistic connection belongs to the nonconventional actuators with some properties similar to biological muscles. Pneumatic muscle actuators are characterized by several appealing properties such as cleanness, structural simplicity and natural compliance. But there are also their deficiencies such as hysteresis, nonlinear character,...
To adjust grating eccentricity automatically and improve the accuracy and efficiency, this paper develops the control system of grating eccentric adjustment automatically based on the motion control card. On the basis of the analysis of the functions and characteristics of the DMC motion control card and the closed-loop motion control theory, the grating eccentric adjusting control system based on...
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