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In this paper, we present a critical review of the various research currently being undergoing in applications of data mining for healthcare management. The objective of this study is to explore new and emerging areas of data mining techniques used in healthcare management. The applications included in this paper are infection control surveillance, diagnosis and treatment of various diseases, healthcare...
In this article, a Quantum Inspired Tabu Search for Multi-level thresholding for Colour Image has been developed to boost the possible effectiveness than that of its classical counterpart. The proposed algorithm has been applied to two true colour images to determine optimal threshold values at different levels using Otsu's method as an objective function. The features of quantum mechanics are coupled...
AC/DC converters find use in numerous applications. Diode bridge rectifiers and phase controlled converters replace AC/DC converters in various applications, but their use is limited by their severe power quality problems like injection of harmonics in line current and flow of reactive power. A design of a AC/DC buck converter is proposed which improves the source power factor. The results are observed...
The main goal of pervasive computing is to provide services that can be used by the user in the given context with minimal user intervention. To support such an environment services or the applications in the environment should be able to interact seamlessly, with the other devices or applications present in the environment, to gather relevant information in current context. Main challenge is devices...
Cloud computing has emerged as an effective solution in the computing world. When the cloud is used for large amounts of data storage, searching for any required data takes lots of time. A framework is required to distribute the work of searching and fetching from thousands of computers. The data in Hadoop Distributed File System is scattered and needs lots of time to retrieve. MapReduce function...
This paper presents simulation results of the harmonics analysis of motor current signatures under different fault condition of CSI (Current Source Inverter) fed induction motor drive In this work, simulation studies are performed for three different post fault conditions ie. open circuiting of one of the six IGBTs(Insulated Gate Bipolar Transistor) gate, blowing off one IGBTand line to ground fault...
A New Heuristic for generating height balanced compact decision trees with reduced path length has been proposed in this paper. The proposed node split measure (MGI) modifies attribute selection process of gini index by giving importance to almost equal sized sub partitions and at same time counts frequently occurring target classes in those sub partitions. This results in less skewed decision trees,...
Distributed Real-Time System [DRTS] is a prodigious platform for high performance parallel applications. The Performance of the system can be amended by using the policies of dynamic load sharing. Allocation of parallel application's tasks under load sharing schemes had increased the performance of the system. Task allocation is NP-hard or NP-complete problem. The new heuristic has been deployed in...
This paper presents an improved model for mode-choice behavior analysis of work trips in urban area. It is observed that the mode-choice for work trips is largely influenced by the fleet size and the level-of-service. The proposed model is implemented using Adaptive Neural fuzzy Inference System for peak period of work trips in Delhi urban area. The machine learning result is found quite satisfactory...
The development process of a project requires verifications that may be handled through expert team. It means that a project cannot be completed in absence of the analysis phase. The analysis and measurement have the strongest reason to prove the accuracy of outcome of the project. As ubiquitous computing is the most probable era for current research, most researchers are working in the contextual...
Machine translation (MT) is the translation of text or speech in one language called the source language into another language called the target language. Machine translation systems (MTS) are available for various Indian languages. The very first system for the translation of Hindi text to Dogri has been developed by the authors. This paper presents the methods of machine translation and the various...
The MLD (Maximum-likelihood decoding) of a particular random code over an AWGN (additive white Gaussian noise) channel requires an exhaustive search over all the possible code-word, and so the computational complexity of the optimal decoding scheme is exponential in the length of the code-word. A new type of the detection technique called the sphere decoding algorithm is proposed to lower the computational...
Geographic data consist of location and extent or degree, which are not hold up by a standardized modeling language like Unified Modeling Language (UML). Here, development of broad standard data models presents an interesting challenge since the level of complexity becomes high, and the resultant database schema becomes unusable. In this paper, an attempt is made to address the need of well documented...
The highly dynamic nonlinear and volatile nature of stock market has remained a challenging issue for the researchers in mathematical economics as well as in financial engineering. Despite the existence of a number of statistical and soft computing methodologies for stock market forecasting, there is still need for an efficient and accurate forecasting model for this purpose. Although a wide range...
Information system managers, senior executive and strategic planners are increasingly turning their attention for opportunities for achieving for competitive advantage and effective business value through implementing reliable information Technology (IT) strategy. IT strategy is a comprehensive plan that information technology management professionals use to guide their organizations. Executing an...
In Component-based Software development, it is desirable to select software components that provide all necessary functionalities and at the same time optimize certain non-functional attributes of the system. Most software companies have increased their inclination towards Component Based Software Development (CBSD) due to the benefits it provides, like reduced development cost and less time-to-market...
Orchestrator has found applications in integration of software services. An Orchestrator is like a coordinator. It provides controlled computation at parallel and sequential computational nodes. Many computational problems need the solutions of simultaneous equations which have large number of coefficients. This paper presents a novel application of an Orchestrator Framework to find faster solution...
The usage of IEEE 802.15.4, Wireless Sensor Networks in our daily life has shown exponential growth in the past decade. Localization of wireless sensor networks is the most critical aspects of this network. One of the major models used in localization, uses Multilayered Perceptron for training its data. This paper focuses on the impact of various MLP training functions on range based localization...
Android is a software stack that includes operating system, middle ware, applications for the development of devices. Android has evolved greatly and user experience in addition to consumer level efficiency along with integration of android powered devices also expanded. Because of its promising features and characteristics like open source nature, rich user interface, consistent app API's. Android...
The superior performance:power ratio of accelerators is motivating new cluster architectures with varied accelerator combinations. Monitoring ensures normal functioning of the cluster by detecting service degradations and prompt rectification. This paper describes a modular and extendable monitoring framework for heterogeneous multi-accelerator clusters which will be useful for future HPC systems...
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