Due to the longer pulse length of the NSTX-U device, a significant portion of the CAMAC equipment used for dataacquisition and control will be supplanted with instrumentation and control (I&C) technologies such a...
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ISBN:
(纸本)9781479901708
Due to the longer pulse length of the NSTX-U device, a significant portion of the CAMAC equipment used for dataacquisition and control will be supplanted with instrumentation and control (I&C) technologies such as CompactPCI and PXI Express. The Timing and Synchronization System (T&S) is used to synchronize dataacquisition and control throughout the experimental complex. A non-CAMAC solution is needed to support the new and upgraded I&C systems for NSTX-U. An instrumentation-bus-agnostic, FPGA-based T&S system is under development. The primary component is the Reconfigurable Timing Unit (RTU). The RTU has been designed to be fully compatible with NTSX's original T&S. The RTU is the 3rd NSTX-designed FPGA-based timing device. Unlike its predecessors, the RTU will rely on commercial products: LabVIEW software and sbRIO hardware, both from National Instruments. Our experience in product development, integration with the NSTX-U computing and control environment, and timing performance will be presented.
Ant algorithm to search an optimal route of data transmission in the wireless sensor network was explored. There was introduced a limitation for the communication radius of the wireless unit that shorted a number of t...
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Grid computing is a technology that organizes vast amounts of heterogeneous resources under a common strategy. Applications created to run under such structures will be limited only by the restrictions of the chosen a...
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Society of 3rd Generation Partnership Project (3GPP) is presently evolving Long Term Evolution advanced (LTE-advanced) as a development of the standard of LTE. This generation aims to produce specifications for a new ...
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The main objective of this paper is to provide insights into the role of sensor information systems (SIS) in general, as well as into the built-in IT hardware sensors in particular, within the context of IT resource m...
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In this paper we will present our experiments regarding Content Based Image Retrieval for a public database of images containing buildings. We have based our research on the possible improvements brought by splitting ...
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Automation in anomaly detection, which deals with detecting of unknown attacks in the network traffic, has been the focus of research by using data mining techniques in recent years. This study attempts to explore sig...
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In this paper, an efficient method is proposed for short-time generation output prediction of PV systems. The prediction of time-series of PV generation output is too complicated to handle. The proposed method focuses...
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ISBN:
(纸本)9781467325950;9781467325967
In this paper, an efficient method is proposed for short-time generation output prediction of PV systems. The prediction of time-series of PV generation output is too complicated to handle. The proposed method focuses on the improvement of the prediction model accuracy with a hybrid intelligent system. It consists of the precondition of input data and the predictor of multi-step ahead PV generation output. The former deals with clustering of input data to improve the performance of the predictor. It is very useful to classify data into some clusters and construct the prediction model at each cluster so that the prediction is improved due to the data similarity in the cluster. As the clustering method, DA (Deterministic Annealing) Clustering of global clustering is used due to the good performance. On the other hand, the latter makes use of an advanced GRBFN (Generalized Radial Basis Function Network) of ANN (Artificial Neural Network) as the predictor. As a result, the proposed method provides better results than the conventional ones. The effectiveness of the proposed method is demonstrated to real data of short time prediction of PV systems.
Recent endeavors in mobile computing concentrateon analyzing the predictability of human behavior by means of mobility models synthesized from real mobile user traces. Currently, the main focus of such studies is phys...
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In recent years, we have witnessed a growing interest in Business Continuity (BC) solutions to reach maximum availability of computing resources, where the main function is to provide a high available and smooth failo...
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