Considering the magneto-hydrodynamic equations in a non-relativistic multi uid framework, we study the behavior of small amplitude perturbations in cold quark matter. Magneto-hydrodynamic equations, along with a suitable equation of state for the cold quark matter, are expanded using the reductive perturbation method. It is shown that in small amplitude approximation, such a medium should be co...

The ALQRS proposes a location-query system based on the keyword search that calculates for the nearest location. ALQRS evaluates user partitioning for user locations and travel penalty for item locations. ALQRS uses gap keeping approach for sorting, store the values of locations and it is a good space saving technique. Keywords—Gap keeping approach, Keyword search, Location, Recommender systems...

When documents are atomically structured, it is possible to assign them keyword vectors to support indexing. Most web content, however, have non-atomic structures. These include navigational/semantic hierarchies on the web. Although they are especially effective for browsing, such structures make it hard for individual nodes to be properly indexed. This is because, in many cases, their contents...

Images plays an important role in human’s day to day life and it consumes much more space for storage rather than other formats. Hence, the need for cloud storage outsourcing arises. The Privacy of user and transfer of images in the network is the main concern. For privacy-preservation purposes, sensitive images, such as medical and personal images are needed to be encrypted before outsourcing,...

Support Vector Machines (SVM) is one such machine learning technique that learns the decision surface through a process of discrimination and has a good generalization capacity [6]. SVMs have been proven to be successful classifiers on several classical pattern recogntion problems [9, 11]. In this paper, one of the first applications of Support Vector Machines (SVM) technique for the problem of...

Many information management systems maintain multiple time stamped versions of documents. The archives of web pages, version control systems, wikis and backup mechanisms are examples of such systems. For such temporally versioned document collections, a search using keywords along the temporal dimension is valuable. This paper studies the temporal dimension of keyword search in the context of t...

In this paper, we present the results of a project that seeks to transform low-level features to a higher level of meaning. This project concerns a technique, latent semantic analysis (LSA), which has been used for full-text retrieval for many years. In this environment, LSA determines clusters of co-occurring keywords, sometimes, called concepts, so that a query which uses a particular keyword...

Keyword proximity search is a user-friendly information discovery technique that has been extensively studied for text documents. In extending this technique to structured databases, recent works [6, 7, 4, 2] provide keyword proximity search on labeled graphs. A keyword proximity search does not require the user to know the structure of the graph, the role of the objects containing the keywords...

HarkMan keyword-spotter was designed so that it can be used in a real-world environment to automatically spot the given words of a vocabulary-independent (VIND) task in unconstrained Chinese telephone speech. In this spotter, the speaking manner and the number of keywords are not limited. This paper focuses on a novel technique that addresses acoustic modeling, keyword-spotting network, search ...

In binary headwaiter keyword above-board significant interchange procedure, a consumer split-up the aforementioned keyword and stocks binary segments of its keyword popular the binary headwaiters. Harmoniously, besides the binary headwaiters formerly collaborate to validate the consumer deprived of meaningful the keyword of the consumer. In occurrence exceptional wait person is collaborated fin...