DC faults may cause severe disruptions in continuity of service to vital loads in a shipboard integrated power system, hence detection, isolation, and protection against such faults must be incorporated in both medium...
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The large execution times demanded for solving complex optimization problems in embedded systems is one of the main challenges in the field of engineering optimization. One solution is the acceleration by a specialize...
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The large execution times demanded for solving complex optimization problems in embedded systems is one of the main challenges in the field of engineering optimization. One solution is the acceleration by a specialized hardware implementation. However, this is coming along with a loss of flexibility especially for the realization of the application-specific fitness function. In this paper we present novel solutions for the flexible implementation of the Particle Swarm Optimization (PSO) algorithm by targeting the coarse-gained reconfigurable Kahrisma architecture. Effectiveness of the proposed solutions was demonstrated for benchmark test problems by numerical simulations achieved by Kahrisma and the MicroBlaze soft-core processor mapped on fine-grained reconfigurable technology using the Open Virtual Platform (OVP) simulator as well as an FPGA implementation. Convergence results demonstrate that the proposed solutions achieve the optimal points for different scenarios. Finally, execution time results demonstrate that the Kahrisma implementation with 4-issue width provides the required flexibility to design high performance embedded optimization systems.
Backoff algorithm is a technique to reduce packet collisions and to improve throughput efficiency in wireless local area network (WLAN). In this research, we propose a new backoff algorithm which is named Binary Expon...
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Backoff algorithm is a technique to reduce packet collisions and to improve throughput efficiency in wireless local area network (WLAN). In this research, we propose a new backoff algorithm which is named Binary Exponential Increment Half Decrement (BEIHD) backoff algorithm. Furthermore, we introduce a new discrete Markov chain model for modeling the performance analysis of wireless local area network. A new model is called the Fixed Backoff stages and Fixed Contention windows (FBFC) technique. In FBFC scheme, the accuracy of the transmission probability parameter is derived from step by step procedure using the global balance equation concept in steady state condition. The saturated throughput efficiency of all backoff algorithms is compared under the same Physical layer (PHY) parameters and Medium Access Control (MAC) scheme in IEEE802.11a/b/g standards. Our numerical results show that the throughput performance of BEIHD backoff algorithm is better than the Binary Exponential Backoff (BEB) algorithm. Moreover, the distinction of BEIHD backoff algorithm is near the realistic system, and it can be implemented without to modify hardware in physical layer.
For an automatic chromosome classification, band resolution information is required in order to perform diagnosis on numerical and structural abnormalities. Metaphases with low band resolution are normal used for nume...
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For an automatic chromosome classification, band resolution information is required in order to perform diagnosis on numerical and structural abnormalities. Metaphases with low band resolution are normal used for numerical abnormality analysis while metaphases with high band resolution are used for structural abnormality analysis. In our work, we classify metaphases into low and high band resolution groups using chromosome shape. This band classification task can automatically perform without human intervention leading to faster the diagnosis process. The results showed that chromosome shape information is able to classify metaphases into low and high band resolution groups with the accuracy of 73.08% and 95.24%, respectively.
The resultant force acting on the moving part of the ceramic aerostatic linear bearing is measured highly accurately as the inertial force of the moving part of the bearing by means of the levitation mass method (LMM)...
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The motivation and implementation of an Introduction to engineeringtechnology course, offered to freshmen electronicsengineeringtechnology students, are presented. The primary objective of this course is to improve...
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In this paper, the development and assessment of a curriculum covering field programmable gate arrays (FPGAs) will be discussed. An FPGA is a programmable logic device which consists of programmable logic blocks with ...
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DC faults may cause severe disruptions in continuity of service to vital loads in a shipboard integrated power system, hence detection, isolation, and protection against such faults must be incorporated in both medium...
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DC faults may cause severe disruptions in continuity of service to vital loads in a shipboard integrated power system, hence detection, isolation, and protection against such faults must be incorporated in both medium-voltage DC (MVDC) and low-voltage DC (LVDC) systems. Here we consider the effectiveness of existing z-source breakers and propose several new designs more appropriate for fault detection in MVDC and LVDC systems. In particular, we perform an optimization study that aims to minimize dissipation and weight and we identify the key parameters for use in MVDC and LVDC systems. Preliminary verification and validation studies are also included.
Identification of good metaphase spread is an important step in chromosome analysis for genetic disorder detection. In this paper, we propose a rule for chromosome classification to identify good metaphase spreads. Th...
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ISBN:
(纸本)9781467355797
Identification of good metaphase spread is an important step in chromosome analysis for genetic disorder detection. In this paper, we propose a rule for chromosome classification to identify good metaphase spreads. The chromosome shapes were classified into four main classes. The first and the second classes refer to individual chromosomes with straight and bended shapes, respectively. The third class is characterized as those chromosomes with overlapping bodies and the forth class is for the non-chromosomal artifacts. Good metaphase spreads should largely contain the first and the second classes while the number of the third class should be kept minimal. Several image parameters were examined and used for creating rule-based classification. The threshold value for each parameter is determined using statistical model. We observed that the empirical probability density function of the parameters can be represented by Gaussian model and, hence, the threshold value can be easily determined. The proposed rules can efficiently and accurately classify the individual chromosome with > 90% accuracy.
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