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Heating, Ventilation and Air Conditioning (HVAC) system is largest energy consumer in buildings. Worldwide, buildings consume 20% of the total energy production. Therefore, increasing efficiency of the HVAC system will result in significant financial savings. As one solution, Thermal Energy Storage (TES) tanks are being utilized with buildings to store excess energy to be reused later. An optimal...
Up to now, many condition diagnosis methods based on the traditional artificial intelligence, such as neural networks (NN), genetic algorithms (GA), etc., have been proposed in the field of condition diagnosis for rotating machinery. These methods depend on the assumption that the number of samples tends to infinity, and also require a large amount of training samples and highly sensitive symptom...
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...
In this paper, we apply an evolutionary optimization classifier, referred to as genetic algorithm-based multiple classifier (GaMC), to the long-range contacts prediction. As a result, about 44.1% contacts between long-range residues (with a sequence separation of at least 24 amino acids) are founded around the sequence profile (SP) centre when evaluating the top L/5 (L is the sequence length of protein)...
In recent years, the travel time predictions have become a popular research topic. In this paper, we present a new algorithm of the travel time predictions based on the idea of using the shared traveler's positions to collect traffic conditions. Several experiments show that our algorithm has a broader applied area than existing algorithms and can provide real-time and the accurate predictions for...
As the number of Web service providers grows, redundancy becomes prevalent with many WS providers offering the same or similar services. Many models have been proposed to measure the QoS (quality of service). This paper is trying to address the Web service ranking problem based on QoS. A Web service relevancy ranking algorithm based on QoS parameters has been presented for the purpose of finding the...
As an important aspect in transportation research, the forecast of traffic state serves as the basis for reasonable traffic control and management. Original prediction models in actual appliance donpsilat consider influencing factors comprehensively when dealing with complex and changeable traffic state. Based on the observation of daily similarity of expressway traffic flow series, the paper recognizes...
The probabilistic neural network (PNN) model plays a very important role for ship detection in synthetic aperture radar (SAR) imagery, however there are still some detection parameter need to improve for the requirement of detection accuracy and speed. This paper presents a new method based on combinatorial PNN model for ship detection in SAR imagery. The method includes 8-bit and 16-bit image processing...
In the case of fault diagnosis of the plant machinery, knowledge for distinguishing faults is ambiguous because definite relationships between symptoms and fault types cannot be easily identified. So this paper presents a sequential diagnosis method for rolling bearing by a fuzzy neural network with the features of a vibration signal in time domain. The fuzzy neural network is realized with a developed...
An intelligent method for condition diagnosis of a pump system is proposed using the discrete wavelet transform (DWT), rough sets (RS), and a neural network to detect faults and distinguish fault types at an early stage. The Daubechies wavelet function is used to extract fault features from measured vibration signals and to capture hidden fault information across an optimum frequency region. We also...
It's well known that artificial neural networks (ANN) are very commonly used for load forecasting in recent years, and it is the key point to select proper factors as input variables of ANN. According to the characteristics of electric short-term load forecasting, a complementation method based on fuzzy-rough set theory and BP NN is proposed to deal with this problem in the paper. First of all, we...
This paper proposes an intelligent diagnosis method for plant machinery using wavelet transform (WT), rough sets (RS) and partially-linearized neural network (PNN) to detect faults and distinguish fault type at an early stage. The WT is used to extract feature signal of each machine state from measured vibration signal for high-accurate diagnosis of states. The decision method of optimum frequency...
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