The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Due to the increased market competition increased data management and analysis has landed as in an era that requires further optimization data management and analysis. Big data technologies like apache HADOOP provide a frame work for parallel data processing and generation of analyzed results. MAPREDUCE method is used for analysis of data using various data analysis algorithms like clustering, fragmentation...
Load Balancing is a mechanism of efficient utilization of computing resources (i.e. CPU, Memory and Network). Cloud computing is the best option to reduce CAPEX and OPEX of the organizations. High Quality of Service (QoS) and reduction the Service Level Agreement (SLA) violation depend on efficient management of Load Imbalance problem. Cloud Service efficiency depends on proper management of physical...
High-performance graph processing brings great benefits to a wide range of scientific applications, e.g., biology networks, recommendation systems, and social networks, where such graphs have grown to terabytes of data with billions of vertices and trillions of edges. Subsequently, storage performance plays a critical role in designing a high-performance computer system for graph analytics. In this...
This paper presents a hybrid (lossless and lossy) technique for image vector quantization. The codebook is generated in two steps. 1. The training set is sorted based on the magnitudes of the training vectors. 2. From the sorted list, training vector from every nth position is selected to form the codevectors. Followed by that, centroid computation with clustering is done by repeated iterations to...
This paper describes about the design and scrutiny of AVR using three different controllers namely Fuzzy-PID, PID-N & PID. The proposed system is optimized using novel DEPSO algorithm tuned by aforementioned three controllers. Objective function for the AVR system is taken as Integral Time Absolute Error (ITAE). The dynamic response of the system is obtained. Finally it is being observed that...
This paper proposes profiling and optimization of Variable Step Size (VSS) algorithm for adaptive noise cancellation by implementing the algorithm in DSP Processor TMS320C6713. The implementation of VSS algorithm in DSK (DSP Starter Kit) includes optimization of algorithms using various optimization techniques via profiling. Code Compose Studio (CCS an Integrated Development Environment for TMS320C6713)...
This paper presents the performance analysis of Least Mean Square (LMS) algorithm for adaptive noise cancellation by varying its step size parameter μ for different filter order and no of iteration. The presented work has been simulated in MATLAB and verified that the step size parameter plays a vital role for implementation of Least Mean Square (LMS) algorithm. Increasing the step size parameter...
Image segmentation plays a vital role in medical imaging applications. It facilitates the delineation of anatomical structures and other regions of interest. Magnetic resonance imaging (MRI), computed tomography (CT), digital mammography, and other imaging modalities provide an effective means for noninvasively mapping the anatomy of a subject. These technologies have greatly increased knowledge of...
It has been observed that sometimes in Numeric Association Rule Mining (NARM), it is important to understand the association between a numeric attribute and a specific categorical consequent class attribute. NARM divides the domain of numeric attributes sub-domains without considering particular categorical consequent class attribute. Apart from this, it may also suffer from support-confidence conflict...
This paper deals with design and analysis of AVR using proportional-integral-derivative (PID) controller optimized by Teaching Learning Based Optimization (TLBO) algorithm The optimum gain of the controller for the proposed model is obtained with objective function as Integral Time Absolute Error (ITAE). The performance of the system is found to be better in every aspect in terms of the settling point,...
Satisfiability Techniques helps in deciding if there is a truth assignment for the symbols that appear in a Boolean function such that it assigns the value true to the Boolean Function. However satisfiability can be proved using Truth Tables, but design of truth table for a Boolean function of large number of variables is trivial. SAT algorithms have to handle hundreds of thousands of millions of...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.