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According to the requirement of real-time monitoring of the conversion rate of vinyl chloride in the production process of polyvinyl chloride polymerization and the nonlinearity of the industrial data, the Elman neural network with strong nonlinear performance is chosen to build the soft-sensor model. However, because of the early stage of the Elman neural network to train the connection weights between...
This paper deals with the multi-objective optimization of a transverse flux machine with claw-pole and flux-concentrating structure (CPTFM), which is especially suitable for low-speed and high-torque applications due to its high pole pair number. Compared with conventional radial flux machine, the main flux path in CPTFM is three dimensional and transverse to the rotation of the rotor. For this reason,...
Decision optimization is used in many applications such as those for finding the best course of action in emergencies. However, optimization solutions require considerable mathematical expertise and effort to generate effective models. On the other hand, reporting applications over databases are more intuitive and have long been established using the mature database query technology. A decision optimization...
This paper discusses the need to achieve a consistent PHB across the GIG regardless of the link types. The paper shows an approach on how to create this consistent PHB, and uses the example when the hop is a multiple access waveform (e.g., JTRS) and when the hop is a COTS router followed by a satellite terminal. Creating this consistent PHB also considers bandwidth optimization and multi-level precedence...
As mainstream data warehouses are growing into the multi-terabyte range, adequate performance for decision support queries remains challenging for database query processors. Proper choice of query plan is essential in data warehouses where fact tables often store billions of rows. This paper discusses query optimization and execution strategies that Microsoft SQL Server employs for decision support...
This paper discusses the design of a solar heating system using periodic optimization techniques. The disturbance signals, ambient temperature and solar insolation, are assumed to be periodic with a period of 24 hours. A bilinear system is used to model the solar plant. It is assumed that the system response is periodic and a performance measure is selected which takes the time average over one period...
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