An ultra-low-power 1KS/s 8-bit current mode successive approximation (SAR) analog-digital converter (ADC) for pacemakers is presented. The proposed system architecture is designed to achieve a small chip area and ultr...
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ISBN:
(纸本)9783981375404
An ultra-low-power 1KS/s 8-bit current mode successive approximation (SAR) analog-digital converter (ADC) for pacemakers is presented. The proposed system architecture is designed to achieve a small chip area and ultra low power consumption by using current mode operation. The circuit is realized in a IBM 0.13μm CMOS technology. The simulated power consumption is 225 nW corresponding to a figure of merit of 0.657pJ/conversion-step while operating from a 1 V supply. The power consumption is one of the lowest reported.
Teeth segmentation of dental X-ray radiographs is the important step in teeth recognition. A segmentation to partition teeth from other areas in dental X-ray images. This paper proposes wavelet transform (WT) to segme...
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In many cases, students become stressed and they become worried about their study, which in terms become a great impediment to their learning capability. This paper proposes new framework of intelligent game model bas...
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This report focuses on the problem of temperature influence on one of the most basic analog circuitry subsystem - a current mirror, based on MOSFET transistors. Basic and cascode current mirrors are put to a simulatio...
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The time for new paradigms for pay-per-use road use charging (RUC) has come, and it is still unclear whether or not current Global Navigation Satellite Systems (GNSS) supply reliability enough to lead the technologica...
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In this paper we introduce a novel method of fingerprint alignment that uses the intrinsic geometric properties of minutiae-based triangles combined with the geometric invariant. The minutiae points are extracted from...
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ISBN:
(纸本)9788086943879
In this paper we introduce a novel method of fingerprint alignment that uses the intrinsic geometric properties of minutiae-based triangles combined with the geometric invariant. The minutiae points are extracted from the fingerprint image and a Delaunay (DL) triangulation is constructed from these minutiae points resulting in a series of triangles. Corresponding minutiae points are established using local affine invariants constructed from the local minutia-based triangles. Triangles that are distorted by noise or have no counter part on the query are discarded. We rely only on "strong" matches that are reliable and present, for example, where the error metric between the local absolute invariants is below a set threshold. The correspondences of such matches are then used to estimate transformation parameters. The performance of our method is represented by computing the distance map error between a template and a query fingerprint after undoing the transformation, computed from the ridge structures of the two fingerprints. In conclusion, the proposed method can be used to find the corresponding minutiae and align any fingerprints considered into affine transformation, in the presence of noise including the partial occlusion.
This paper presents a novel system is to develop to determine the suitability of a location for installation of solar power stations. Necessary data including speed and direction of wind, solar radiation and rainfall ...
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Medical images are generally of poor contrast and complex types of noise and blur. So denoising of images is an important role in processing and analysis of medical image. The purpose of the paper takes advantages of ...
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In this paper, we develop a multi-objective network design model for the traffic grooming, routing and wavelength assignment (GRWA) in WDM networks. We consider and evaluate four traffic grooming strategies which are ...
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ISBN:
(纸本)9789746724913
In this paper, we develop a multi-objective network design model for the traffic grooming, routing and wavelength assignment (GRWA) in WDM networks. We consider and evaluate four traffic grooming strategies which are Point to Point (P2P), Point to Multi-Point (P2MP), Multi-Point to Point (MP2P) and Multi-Point to Multi-Point (MP2MP). The design objectives are to maximize the number of accepted communication requests (source-destination pairs) as well as to minimize the number of wavelength channel requirement. Both the design objectives are conflicted to each other;maximizing the number of accepted commodities will require a large number of wavelength channels while minimizing the number of wavelength channels will limit the amount of accepted commodities. To solve the multi-objective network design problem, we apply a fast and efficient optimization technique called "Fast Non-dominated Sorting Genetic Algorithm (NSGA-II)". The simulation results show that traffic grooming with multiple sources/destinations are the most flexible and efficient grooming techniques that give wide-spread solutions on the objective space, than those solutions obtained from the P2P grooming technique in both objective values (i.e., number of accepted commodities and wavelength channels required).
This paper considers a multi-objective network design problem for the traffic grooming, routing and wavelength assignment (GRWA) in WDM networks. The design objectives are to maximize the number of accepted communicat...
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ISBN:
(纸本)9788988678206
This paper considers a multi-objective network design problem for the traffic grooming, routing and wavelength assignment (GRWA) in WDM networks. The design objectives are to maximize the number of accepted communication requests (source-destination pairs) as well as to minimize the number of wavelength channel requirement. Both the design objectives are conflicted to each other;maximizing the number of accepted commodities will require a large number of wavelength channels while minimizing the number of wavelength channels will limit the amount of accepted commodities. To solve the multi-objective network design problem, we apply a fast and efficient optimization technique called "Fast Non-dominated Sorting Genetic Algorithm (NSGA-II)". In this paper, traffic grooming (GA-LMF) and non-traffic grooming (GA-MDF and FAR-FF) algorithms are compared and benchmarked for solving the multi-objective design problem. The results show that the GA-LMF is the most flexible and efficient grooming technique. The obtained solutions from the GA-LMF are spread on the objective space and are better than those from other non-grooming techniques in both objective values (i.e., number of accepted commodities and wavelength channels required).
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