In a grid environment, resources and services are distributed with dynamic and heterogeneous characteristics. Efficient service discovery is one challenging issue in a grid environment. In this paper, we propose a new distributed and hierarchical ...

In this paper we present a hierarchical framework for the extraction of spectro-temporal acoustic features. The design of the features targets higher robustness in dynamic environments. Motivated by the large gap between human and machine performance in ...

This paper proposes a method for binary image retrieval, where the black-and-white image is represented by a novel feature named the adaptive hierarchical density histogram, which exploits the distribution of the image points on a two-dimensional area. ...

This paper introduces a novel framework for the design, modeling and control of a Micro Aerial Vehicle (MAV). The vehicle's conceptual design is based on biologically-inspired principles and emulates a dragonfly (Odonata---Anisoptera). We have taken ...

This paper proposes and analyzes the performance of a packet scheduling scheme capable of satisfying both real-time Quality-of-Service (QoS) constrains and non-real time best effort service while handling channel errors in IEEE 802.11 WLAN through ...

We have previously tried to explain perceptual inference and learning under a free-energy principle that pursues Helmholtz’s agenda to understand the brain in terms of energy minimization. It is fairly easy to show that making inferences about the ...

In order to mitigate the damages of key-exposure, key-insulated encryption introduces a helper key used to periodically update the decryption key. Under the usual circumstances, frequent updating increases the risk of helper key-exposure. Parallel key-...

This article presents GAT, a Graphical Annotation Tool based on a region-based hierarchical representation of images. The proposed solution uses Partition Trees to navigate through the image segments which are automatically defined at different spatial ...

Suffix tree clustering is a fast, incremental, linear time clustering algorithm, but there are synonymous and label-contained relations among the result clusters. So just return these results to the users directly, would give them an added burden. In ...

Clustering is one of the fundamental data mining tasks. Many different clustering paradigms have been developed over the years, which include partitional, hierarchical, mixture model based, density-based, spectral, subspace, and so on. The focus of this ...

Clustering in wireless sensor networks (WSNs) provides scalability and robustness for the network; it allows spatial reuse of the bandwidth, simpler routing decisions, and results in decreased energy dissipation of the whole system by minimizing the ...

Clustering is one of the fundamental data mining tasks. Many different clustering paradigms have been developed over the years, which include partitional, hierarchical, mixture model based, density-based, spectral, subspace, and so on. The focus of this ...

This paper assumes that cortical circuits have evolved to enable inference about the causes of sensory input received by the brain. This provides a principled specification of what neural circuits have to achieve. Here, we attempt to address how the ...

In most forested environments, boreal forest in particular, monitoring and evaluation of management activities would be facilitated by storage of multiscale data sets spanning long time periods. For this study, such a data repository based on a generic ...

With the advancement in image capturing device, the image data been generated at high volume. Grouping images into meaningful categories to reveal useful information is a challenging and important problem. Content based image retrieval address the ...

Text categorization is an important direction of information processing, and now there are many methods of text categorization, such as Bayesian probabilistic models, Vector Space Model, K-Nearest Neighbor and so on. And now most of information of web ...

In this paper, we study the localization problem in large-scale Underwater Wireless Sensor Networks (UWSNs). Unlike in the terrestrial positioning, the global positioning system(GPS) can not work efficiently underwater. The limited bandwidth,the ...

A fundamental challenge in the design of Wireless Sensor Networks (WSNs) is to maximize their lifetimes especially when they have a limited and non-replenishable energy supply. To extend the network lifetime, power management and energy-efficient ...

Forest management planning is facing new objectives and diversified data sources. To succeed in the new context, a forest management planning framework should support integration of the new goals, knowledge, and technology as well as embrace multiple ...

In prior work, we put forth a model of visual saliency motivated by information theoretic considerations [1]. In this effort we consider how this proposal extends to explain saliency in the spatiotemporal domain and further, propose a distributed ...