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Further to a previous experimental study on the heat exchanger circuitry number for a two-way discharge active chilled beam terminal unit, an investigation of the tube connecting sequences is conducted in this paper. Given a typical air side operating condition, in situ air velocity profile across the heat exchanger is measured and non-uniformities of the air flow caused by the entrainment effect...
For the early detection of breast cancer, radio logists often rely on their experiences and read mammograms with the naked eye. This method of detection, however, leaves many breast cancer lesions undetected. In this article, we discuss the development of a new technology, which identifies masses in mammograms. This technology is able to mark the positions of possible masses, allowing further assessment...
Particle swarm optimization (PSO) is a new stochastic optimization technique based on swarm intelligence. In this paper, we introduce the basic principles of PSO firstly. Then, the research progress on PSO algorithm is summarized in several fields, such as parameter selection and design, population topology, hybrid PSO algorithm etc. Finally, some vital applications and aspects that may be conducted...
The identification of defect parameters in thermal non-destructive test and evaluation (TNDT/E) was considered as a kind of inverse heat transfer problem (IHTP) and a kind of structure design optimization problem, and the design results should meet the surface temperature profile of the apparatus with defects. An improved bacterial colony chemo taxis (IBCC) optimization algorithm and a radial basis...
An Equivalent Current Injection (ECI) based Security-Constrained Optimal Power Flow (SCOPF) is presented in this paper and a Multiple Particle Swarm Optimization (MPSO) is developed for solving non-convex Optimal Power Flow problem. The OPF deals with both continuous and discrete control variables and is a mixed-integer OPF. The continuous control variables modeled are the active power output and...
Due to the radical changing of the global economy, a more precise forecasting of corporate financial distress helps provide important judgment principles to decision-makers. Although financial statements reflect a firm's business activities, it is very challenging to discover critical information from these statements. Applying machine learning algorithms can be demonstrated to improve forecasting...
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