Liver is a vital organ of a body that has numerous functions. Severe malfunctioning of these functions causes a liver necrosis. The diagnosis of this necrosis is performed by a specialist who uses appropriate microsco...
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Liver is a vital organ of a body that has numerous functions. Severe malfunctioning of these functions causes a liver necrosis. The diagnosis of this necrosis is performed by a specialist who uses appropriate microscopic analysis. However, because this analysis is based on specialist's opinion, the results could be subjective and error prone. The aim of this study is to quantify the hepatic necrotic areas using computer aided algorithms and provide quantitative results that are not prone to errors.
Determination of quality in software engineering requires several activities such as testing, verification, inspection and software fault prediction. One objective in software quality estimation research is to predict...
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Determination of quality in software engineering requires several activities such as testing, verification, inspection and software fault prediction. One objective in software quality estimation research is to predict the fault-prone modules before the next release of software. There are many software fault prediction models that use machine learning algorithms. However, ensemble learning algorithms are infrequently used in software quality prediction systems. The aim of this study is to develop a random subspaces classifier ensemble framework to improve software fault detection ability of miscellaneous machine learning algorithms.
Last decades vibration is considerable effective factor in almost all industrial field and car driving to be a concern of the traveling comfort. Automobile manufacturing technologies are developing day by day and one ...
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Last decades vibration is considerable effective factor in almost all industrial field and car driving to be a concern of the traveling comfort. Automobile manufacturing technologies are developing day by day and one of the important role in that field suspension and relate to vibration. Drivers and passengers of automobiles are directly affected from vibration. Owing to this problem vibration control are getting better at automobile industry in the world and Turkey. Vibration is emerged by structural vibration and engine vibration. In this study, they have been measured/calculated and simulated vibration levels of a passenger car with experimental method and designed programme. According to these data analysis calculated for interval values by some test method then simulated.
The use of induction motors is widespread in industry. Many researchers have studied the condition monitoring and detecting the faults of induction motors at an early stage. Early detection of motor faults results in ...
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The use of induction motors is widespread in industry. Many researchers have studied the condition monitoring and detecting the faults of induction motors at an early stage. Early detection of motor faults results in fast unscheduled maintenance. In this study, a new artificial immune based support vector machine algorithm is proposed for fault diagnosis of induction motors. Support vector machines (SVMs) have become one of the most popular classification methods in soft computing, recently. However, classification accuracy depends on kernel and penalty parameters. Artificial immune system has abilities of learning, memory and self adaptive control. The kernel and penalizes parameters of support vector machine are tuned using artificial immune system. The training data of support vector machine are extracted from three phase motor current. The new feature vector is constructed based on park's vector approach. The phase space of this feature vector is constructed using nonlinear time series analysis. Broken rotor bar and stator short circuit faults are classified in combined phase space using support vector machines. The experimental data are taken from a three phase induction motor. One, two and three broken rotor bar faults and 10% short circuit of stator faults are detected successfully.
In this paper, the performance of turbo coded signals are investigated over Wireless Local Loop (WLL) environment with no side information on the phase noise and no channel state information (CSI). We assume that the ...
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In this paper, the performance of turbo coded signals are investigated over Wireless Local Loop (WLL) environment with no side information on the phase noise and no channel state information (CSI). We assume that the transmitter and the receiver are point-to-point microwave links, separated by WLL which is modelled as 1+Dn/Partial Response Microwave Channel (PMRC) with realizable and practical medium parameters. Here, the combined effects of the nonideal coherent receiver on the phase of the received amplitude and of a noisy carrier reference are considered, each modelled by the Rayleigh and Tikhonov distributions respectively. As an example, the jitter performance of turbo coded signals are evaluated over 1+D/PRMC with effective signal-to-noise ratio in the carrier tracking loop, fading parameter, iteration number and frame data block size. The numerical results clearly demonstrate the error performance degradation due to both amplitude fading and phase noise process.
In this paper, the performance of turbo coded signals are investigated over a new channel model, denoted as 1/spl plusmn/D/sup n//Partial Response Fading Channels (PRFC) with imperfect phase reference. The combined ef...
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In this paper, the performance of turbo coded signals are investigated over a new channel model, denoted as 1/spl plusmn/D/sup n//Partial Response Fading Channels (PRFC) with imperfect phase reference. The combined effects of the 1/spl plusmn/D/sup n//PRFC and nonideal coherent receiver on the phase of the received amplitude and of a noisy carrier reference are considered. The numerical results demonstrate the error performance degradation due to both amplitude fading and phase noise process.
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