The rise of location-based services has enabled many opportunities for content service providers to optimize the content delivery to user’s wireless devices based on her location. Since the sharing precise location remains a major privacy concern among the users, certain location-based services rely on contextual location (e.g. residence, work, etc.) as opposed to acquiring user’s exact physica...

ABSTRACT: In this study, adaptive neuro-fuzzy inference system, and feed forward neural network as two artificial intelligence-based models along with conventional multiple linear regression model were used to predict the multi-station modelling of dissolve oxygen concentration at the downstream of Mathura City in India. The data used are dissolved oxygen, pH, biological oxygen demand and water...

For a given network let P and N denote the set of all points and the set of all nodes respectively. Let G and T denote a cyclic network and a tree network respectively and let m denote the number of centers available. The categorization scheme {'/{"/m/{ } , where the first and second cells refer to the possible locations of centers and demand generating points respectively, provides for compact...

We consider rules that choose a location on a graph (e.g. a road network) based on agents’ single-peaked preferences. First, we characterize the class of strategy-proof, onto rules when the graph is a tree. Such a rule is based on a collection of generalized median voter rules (Moulin, 1980) satisfying a consistency condition. Second, we characterize such rules for graphs containing cycles. We ...

Given a set of hidden variables with an a-priori Markov structure, we derive an online algorithm which approximately updates the posterior as pairwise measurements between the hidden variables become available. The update is performed using Assumed Density Filtering: to incorporate each pairwise measurement, we compute the optimal Markov structure which represents the true posterior and use it ...

Network localization is a fundamental problem in wireless sensor networks, mainly in location dependent applications. A common family of solutions to this problem is the range-based network localization. The resulting localization algorithms are noise sensitive and thus lacking in terms of robustness. Our contribution provides an algorithm which is robust to measurement errors. We propose an an...

Modern networking applications replicate data and services widely, leading to a need for locationindependent routing – the ability to route queries directly to objects using names that are independent of the objects’ physical locations. Two important properties of a routing infrastructure are routing locality and rapid adaptation to arriving and departing nodes. We show how these two properties...

Energy harvesting is a conventional method to collect the dissipated energy of a system. In this paper, we investigate the optimal location of a piezoelectric element to harvest maximum power concerning different excitation frequencies of a vibrating cantilever beam. The cantilever beam oscillates by a concentrated sinusoidal tip force, and a piezoelectric patch is integrated on the beam to gen...

a wireless sensor network (wsn) is a wireless decentralized structure network consists of many nodes. nodes can be fixed or mobile. wsn applications typically observe some physical phenomenon through sampling of the environment so determine the location of events is an important issue in wsn. wireless localization used to determine the position of nodes. the precise localization in wsns is a co...

distributed generation (dg) sources are becoming more prominent indistribution systems due to the incremental demands for electrical energy. locationsand capacities of dg sources have great impacts on the system losses in adistribution network. this paper presents a study aimed for optimally determiningthe size and location of distributed generation units in distribution systems withdifferent l...