This paper presents an optimization of GPR mixture model based on the measurements and simulation results at frequency range of 1.7-2.6 GHz. The purpose is to get a most accurate relationship between attenuation and d...
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This paper presents an optimization of GPR mixture model based on the measurements and simulation results at frequency range of 1.7-2.6 GHz. The purpose is to get a most accurate relationship between attenuation and density for various road pavements densities. The proposed method is simple, fast, nondestructive and accurate way to determine the density of road pavement. Density is a one of the important parameter in order to determine the compressive strength of road pavement. In laboratory, a few of received signal strength and measured attenuation for nine road pavement slab samples were taken at four different frequencies. The GPR mixture model has been used to produce the predicted attenuation due to the pavement density. The calculation and selection of mixture model has been discussed thoroughly and only the best performance of GPR mixture model was selected for optimization.
The focus of this paper is a construction of better knowledge base in case-based classifier system. Our knowledge base structure is based on concept lattice where rules are built from its subconcept-superconcept relat...
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ISBN:
(纸本)9781605580463
The focus of this paper is a construction of better knowledge base in case-based classifier system. Our knowledge base structure is based on concept lattice where rules are built from its subconcept-superconcept relation. Since the lattice can only be constructed from inputs with binary attributes, descriptive and numeric attributes must be transformed to binary attributes. In this paper, we propose the transformation of numeric attributes to descriptive attributes using fuzzy set theory. We experiment on benchmark data sets, Car and Iris, to determine the performance in term of number of rules used and classification precision. The results show that trend of accuracy is proportional to the size of learning inputs. The number of rules used is relatively small compared with size of training data. Our case-based classifier produces very promising results in practice and can classify the new problem more accurate than traditional classifiers. Copyright 2008 ACM.
The HomeCare is a special monitoring system of the basic life functions. It has been primarily designed to take care for elderly people. But many of the designed devices could be used in the other branches of biotelem...
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The HomeCare is a special monitoring system of the basic life functions. It has been primarily designed to take care for elderly people. But many of the designed devices could be used in the other branches of biotelemetry. Our HomeCare system is designed with respect to user comfort and it uses as cheap technical solutions as possible. In cooperation with the Ostrava University a Homecare Testing Flat has been realized. There are tested our Homecare solutions in vivo. This article is focused on the designed HomeCare system, on measured parameters and on used wireless technologies. The Circadian rhythm measurement and its usage in the HomeCare system are discussed in the article too.
This article describes an optimal dynamic code assignment algorithm, which can be used to maximize the total number of users in combined C-SDMA system with minimum required quality of service (QoS) and limited number ...
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This article describes an optimal dynamic code assignment algorithm, which can be used to maximize the total number of users in combined C-SDMA system with minimum required quality of service (QoS) and limited number of codes. Here, a single cell adopts combined C-SDMA system as air-interface, and accommodate any number of users distributed randomly within it. The probability of blocking is calculated to evaluate the system performance for different number of users and available codes. Results show that the proposed algorithm improves the system performance significantly compared to the existing algorithms. Finally, this algorithm enhances system capacity with limited resources.
It is desirable that remote isolated communities can become self-sufficient in electric power from renewable energy sources. Renewable energy sources (wind, run of river hydro, photovoltaic) require voltage-source-con...
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It is desirable that remote isolated communities can become self-sufficient in electric power from renewable energy sources. Renewable energy sources (wind, run of river hydro, photovoltaic) require voltage-source-converter (VSC) Stations as frequency changers to connect them to an ac grid. This paper examines the feasibility of a standalone ac grid supplied by the VSC-stations. The VSC-stations set the grid frequency and maintain real power balance of generation and load in the entire ac grid from information based on frequency deviation. digital simulation results show the availability of a standalone ac grid supplied by the VSC-stations with proposed real power regulation.
Conventional fuzzy logic controller is applicable when there are only two fuzzy inputs with usually one output. Complexity increases when there are more than one inputs and outputs making the system unrealizable. The ...
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ISBN:
(纸本)9780769532636
Conventional fuzzy logic controller is applicable when there are only two fuzzy inputs with usually one output. Complexity increases when there are more than one inputs and outputs making the system unrealizable. The ordinal structure model of fuzzy reasoning has an advantage of an easier approach of setting the rules with multiple inputs and outputs. This is achieved by giving an associated weightto each rule in the defuzzification process. An ordinal fuzzy logic controller has been designed with application for obstacle avoidance of Khepera mobile robot. Implementation show that ordinal structure fuzzy is easier to design compared to conventional fuzzy controller. However finding the best weight for each rule is a large and complex search problem. A specially tailored Genetic Algorithm (GA) approach has been proposed to find the best weight value foreach rule in the ordinal structure fuzzy controller. In this work, the comparison of direct and incremental GA for optimization of the controller is presented. Simulation results demonstrated significantly improved obstacle avoidance performance of incremental GA optimization of ordinal fuzzy controllers compared to direct GA optimized controller.
This paper presents the effect of atmospheric attenuation during severe hazy days for free space optical communications. The usage of free space optical communications is still rare in Malaysia due to environment fact...
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This paper presents the effect of atmospheric attenuation during severe hazy days for free space optical communications. The usage of free space optical communications is still rare in Malaysia due to environment factor. The FSO technology is also known as unguided beam or dasiaoptical wirelesspsila or infrared broadband. This study offers quick preliminary investigation on possible FSO performance based on wavelength selection before final commissioning and installation at site. Thus, FSO installers could make quick judgment before giving recommendation of a suitable wavelength to the customers. Preliminary evaluation of system performance of system performance is done by using local weather data obtained from metrological department. Current study among designers and FSO users show that 1550 nm light produce less atmospheric attenuation in the transmission under all weather conditions. In this study, a suitable wavelength for FSO system is found for a particular site in low visibility. The best wavelength selection would result in optimized quality of FSO transmission in hazy conditions.
For the Asynchronous Transfer Mode (ATM) networks with time-varying multiple time-delays, a more realistic model for the available bit rate (ABR) traffic class with explicit rate feedback is introduced. A fuzzy-im...
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For the Asynchronous Transfer Mode (ATM) networks with time-varying multiple time-delays, a more realistic model for the available bit rate (ABR) traffic class with explicit rate feedback is introduced. A fuzzy-immune controller is designed, which can adjust the rates of ABR on-line, overcome the bad effect caused by the saturation nonlinearity and satisfy the weighted fairness. Also, the sufficient condition that guarantees the stability of the closed-loop system with a fuzzy-immune controller is presented in theory for the first time. The algorithm exhibits good performance, and most importantly, has a solid theoretical foundation and can be implemented in practice easily. Simulation results show that the control system is rapid, adaptive, robust, and meanwhile, the quality of service (QoS) is guaranteed.
This work presents the implementation of a tightly-coupled hardware architectural enhancement to the Altera FPGA-based Nios II embedded processor. The goal is to accelerate finite field arithmetic operations in the bi...
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This work presents the implementation of a tightly-coupled hardware architectural enhancement to the Altera FPGA-based Nios II embedded processor. The goal is to accelerate finite field arithmetic operations in the binary fields of F 2 163 and F 2 193 , for application in a high-performance embedded system implementing elliptic-curve cryptography (ECC). The concept is to augment the embedded processor with a few custom instructions for fast finite field arithmetic operations. Instead of a co-processor, hardware acceleration of the arithmetic operation is provided by custom logic tightly coupled to the processor core and directly controlled by the instruction stream. This concept, which may be considered as a hardware-software codesign approach, is evaluated by prototyping an elliptic curve cryptosystem (ECC) on an Altera Stratix FPGA development board. Experimental results show that for the point multiplication operation, which is the core operation in an ECC computation, the implementation with custom instructions and tightly-coupled hardware is about 50% faster than the coprocessor based hardware.
作者:
S. S. GeC. WangC. C. HangSocial Robotics Laboratory
Interactive Digital Media Institute and Edutainment Robotics Laboratory Department of Electrical and Computer Engineering National University of Singapore Singapore
In this paper, we propose an interactive system for reconstructing human facial expression. In the system, a nonlinear mass-spring model is employed to simulate twenty two facial muscles' tensions during facial ex...
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In this paper, we propose an interactive system for reconstructing human facial expression. In the system, a nonlinear mass-spring model is employed to simulate twenty two facial muscles' tensions during facial expressions, and then the elastic forces of these tensions are grouped into a vector which is used as the input for facial expression recognition. The experimental results show that the nonlinear facial mass-spring model coupled with the SVM classifier is effective to recognize the facial expressions. Finally, we introduce our robot that can make artificial facial expressions. Experimental results of facial expression generation demonstrate that our robot can imitate six types of facial expressions.
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