19.6.4 TCP over Ad Hoc Networks TCP is the prevalent transport protocol in the Internet today and its use over ad hoc networks is a certainty. This has motivated a great deal of research efforts aiming not only at evaluating TCP performance over ad hoc networks, but also at proposing appropriate TCP schemes for this […]
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Posts by Farahat
Ad Hoc Networks : Medium Access Protocols.
19.6.1 Medium Access Protocols Medium access control (MAC) for wireless ad hoc networks is currently a very active research topic. The characteristics of the network, the diverse physical-layer technologies available, and the range of services envisioned render a difficult task the design of an algorithm to discipline the access to the shared medium that results […]
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Ad Hoc Networks : Introduction and Routing Algorithms
19.6 Ad Hoc Networks 19.6.1 Introduction An ad hoc network is a wireless network that is established without the aid of infrastructure or centralized administration. It is formed by a group of wireless terminals (nodes) such that a communication between any two terminals is carried out by means of a store-and-relay mechanism. A terminal wishing […]
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Brief Survey of Speech Enhancemen : Multiple State Speech Model, Second-Order Statistics Estimation and Concluding Remarks.
19.5.1 Multiple State Speech Model All estimators presented in Section 19.5.2 and Section 19.5.3 make the implicit assumption that the speech signal is always present in the noisy signal. In the notation of Section 19.5.2, Z = Y + W. Since the length of a frame is relatively short, in the order of 30 − […]
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Brief Survey of Speech Enhancement : Introduction, The Signal Subspace Approach and Short-Term Spectral Estimation
19.5 A Brief Survey of Speech Enhancement2 19.5.1 Introduction Speech enhancement aims at improving the performance of speech communication systems in noisy environments. Speech enhancement may be applied, for example, to a mobile radio communication system, a speech recognition system, a set of low quality recordings, or to improve the performance of aids for the […]
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Applications of Machine vision systems
19.4.1 Applications Machine vision systems have uses in a wide variety of disciplines, from medicine to robotics, from automatic inspection to autonomous navigation, and from document analysis to multimedia systems. New machine vision systems are constantly emerging and becoming a part of everyday life. In this section, we present a brief description some of the […]
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Three-Dimensional Object Recognition , Dynamic Vision
19.4.1 Three-Dimensional Object Recognition The real world that we see and touch is primarily composed of three-dimensional solid objects. When an object is viewed for the first time, people typically gather information about that object from many different viewpoints. The process of gathering detailed object information and storing that information is referred to as model […]
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Segmentation , Edge-Based Segmentation , Gradient , Laplacian , Laplacian of Gaussian , Surface Fitting , Edge Linking , Region-Based Segmentation , Region Formation , Split and Merge , Chain Codes , Polygonalization , One-Dimensional Signatures , Boundary Descriptors , Feature Extraction , Critical Points , Interesting Points , Matching , Point Pattern Matching , Template Matching and Hough Transform .
Segmentation An image must be analyzed and its relevant features extracted before more abstract representations and descriptions can be generated. Careful selection of these so-called low-level operations is critical for the success of higher level scene interpretation algorithms. One of the first operations that a machine vision system must perform is the separation of objects […]
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Machine Vision : Introduction , Relationship to Other Fields , Fundamentals of Vision , Image Formation , Imaging Geometry , Image Intensity , Sampling and Quantization , Color Vision , Range Imaging , Imaging Radar , Triangulation , Structured Lighting and Active Vision .
Machine Vision Introduction Machine vision, also known as computer vision, is the scientific discipline whereby explicit, meaningful descriptions of physical objects from the world around us are constructed from their images. Machine vision produces measurements or abstractions from geometrical properties and comprises techniques for estimating features in images, relating feature measurements to the geometry of […]
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Design Example , Genetic Algorithms , Coding and Initialization , Selection and Reproduction , Reproduction and Mutation.
Design Example Consider the design of a simple fuzzy controller for a sprinkler system. The sprinkling time is a function of humidity and temperature. Four membership functions are used for the temperature, three for humidity, and three for the sprinkle time, as shown in Fig. 19.35. Using intuition, the fuzzy table can be developed, as […]
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