Abstract This article argues that despite the growing and articulate chorus of adaptation scholars who critique the language of fidelity and its consequential denigration of adaptation as an art form, some of these contemporary scholars continue to repeat reductive cultural hierarchies

We introduce a geographical adaptive fidelity (GAF) algorithm that reduces energy consumption in ad hoc wireless networks. GAF conserves energy by identifying nodes that are equivalent from a routing perspective and then turning off unnecessary nodes, keeping a constant level of routing fidelity

to their content. Local variance measures of the oscillatory part of the signal are used to compute the adaptive fidelity term. Our results show improvement in the signal-tonoise ratio over scalar fidelity term processes, and they are more appealing visually. This type of processing is relatively simple, can

standard. SVC enables the transmission and decoding of partial bit streams to provide video services with lower temporal or spatial resolutions or reduced fidelity while retaining a reconstruction quality that is high relative to the rate of the partial bit streams. Hence, SVC provides functionalities

Abstract — Location based routing protocols are the kinds of routing protocols, which use of nodes ’ location information, instead of links ’ information for routing. They are also known as position based routing. In position based routing protocols, it is supposed that the packet source node has position information of itself and its neighbors and packet destination node. In recent years, many location based routing protocols have been developed for ad hoc and sensor networks. In this paper we shall present the concept of location-based routing protocol, its advantages and disadvantages. We shall also look into two popular location-based protocols: Geographic

Abstract—The novel high performance adaptive fidelity algorithms for automated multi-modality images ’ feature detection, registration, and fusion is presented. The new fusion method, which consists of the Adaptive Fidelity Exploratory Algorithm (AFEA) and the Heuristic Optimization Algorithm (HOA

for the configuration being studied which then has to be coupled to the stability and control tools to carry out the analysis. This paper describes how the adaptive-fidelity CFD module of CEASIOM computes the aerodynamic dataset of an air-craft configuration, and how that dataset is analyzed by the SDSA module

which we call Adaptive Piecewise Constant Approximation (APCA). While previous techniques (e.g., SVD, DFT and DWT) choose a common representation for all the items in the database that minimizes the global reconstruction error, APCA approximates each time series by a set of constant value segments

Abstract A high performance adaptive fidelity approach for multi-modality Optic Nerve Head (ONH) image fusion is presented. The new image fusion method, which consists of the Adaptive Fidelity Exploratory Algorithm (AFEA) and the Heuristic Optimization Algorithm (HOA), is reliable and time

delity to extend network lifetime. Algorithm analysis and simulation studies show that our energy-conserving algorithms can consume as little as 50% of the energy of an unmodified ad hoc routing protocol. Moreover, simulations of adaptive fidelity suggest that greater node density can be used to increase