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This paper proposed a novel algorithm of network reconfiguratoin based on improved quantum particle swarm optimization (QPSO), which can be used for loss reduction in distribution network with distributed generation. First, the network topology is analysed on the basis of branch loop incidence matrix and layered branch incidence matrix. Second, calculate the network loss by layered forward-backward...
With increasing core counts in Chip Multi-Processor (CMP) designs, the size of the on-chip communication fabric and shared Last-Level Caches (LLC), which we term uncore here, is also growing, consuming as much as 30% of die area and a significant portion of chip power budget. In this work, we focus on improving the uncore energy-efficiency using dynamic voltage and frequency scaling. Previous approaches...
With the rapid development of CAN Bus, many scholars and engineers focus on how to evaluate the reliability of CAN Bus. It is widely accepted that the calculation of the probability of successful transmission is an effective method to analyze both the real-time performance and message correctness. However it was proved that the probability of successful transmission is not applicable to calculating...
Particle Swarm Optimization (PSO) is one of the newly developed intelligence optimization algorithms. With its simple concept, few parameters and scalable performance, PSO has become a very promising optimization tool and attracted extensive attention. In this paper, probabilistic analysis on swarm diversity in Adaptive Partly Informed Particle Swarm Optimization algorithm (API-PSO) was conducted...
Fault diagnosis of transformer in power system is studied in this paper. Considering the excellent performances of Random Forest (RF) in pattern recognition, we apply RF to construct a diagnosis model to predict the situation of transformer. The experiments of fault diagnosis for some real transformers show that RF obtains a better result in prediction accuracy and stability than traditional Back...
Service-Oriented Architecture (SOA) provides a flexible framework for service composition. In a service market scenario, given a functional description of service, different providers may offer diverse service implementations that match such a functional description, but differ for some QoS attributes. It is increasingly vital to provide a service selection and recommendation mechanisms that best...
Portable video communication devices operate on batteries with limited energy supply. However, video compression is computationally intensive and energy-demanding. Therefore, one of the central challenging issues in portable video communication system design is to minimize the energy consumption of video encoding so as to prolong the operational lifetime of portable video devices. In this work, we...
Selecting suitable features is very crucial for achieving successful classification of land cover types. This paper presents a comparative study of three typical feature selection methods for the task of regional land cover classification using MODIS data. Comparison results have shown that Branch and Bound is the best for land cover classification with MODIS data, while ReliefF and mRMR achieve nearly...
Polymeric materials are finding increasing application in commercial optical communication systems. Taking advantage of techniques from the field of artificial intelligence, the goal of our research is to construct systems that can computationally design polymer formulations, including polymer optical fibers, with specified desirable consumer characteristics. Through the use of an extensive structure...
Polymer fibers are finding increasing applications in commercial optical communication systems. Polymer optical fibers, with specified desirable consumer characteristics, can be computationally designed. Through the use of an extensive structure - property correlation database, properties of polymers can be predicted by a Neural Network. In this paper we are focusing on glass transition temperature...
A set of improved equations for dynamic feedforward neural networks is introduced to represent the behavior of the integrated circuit (IC). The rationality of the improved equations is elucidated by studying the relationship between the circuits and the equation parameters. In order to apply the dynamic feedforward neural networks to the design of intelligent IC, the method of modeling and simulation...
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