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Fault diagnosis of the wind power system is a common problem in the routine maintenance of the wind farm. However, most researches and practical applications focus on separate components, which do not take correlations of different components into consideration. This paper presents a novel two-layer Probabilistic Signed Directed Graph (PSDG) method for the fault diagnosis of the overall wind power...
In the complex industry processes, failures occurred during manufacturing may deteriorate the final product quality, which results in a large number of scrapped products and thus a huge loss of the manufacturing Yield. To control the production steps, alarms go off to indicate occurred problems. However, alarms may be frequently raised which reduces the ability of operators to manage plant abnormalities...
In the complex manufacturing processes, high quantity of products might be rejected. This can be due to the no detected failures. To evaluate the processing of manufacturing steps, alarms are setting off to indicate failures. However, industrial plant operators often receive many more alarms than they can manage, which include correlation. A poor alarm system may cause nuisance alarms and thus alarm...
This paper proposes an integrated poor-quality model to find the potential relationship between elected STB (set-top boxes) indicators and network conditions. The target is to make the IPTV network fault diagnosis more accurately and efficiently, especially for the sudden pause or blurred screen. The integrated poor-quality model consists of indicator, record and user model. Firstly, the poor-quality...
This paper investigates the M&A performance of coal listed companies in our country that experienced M&A from the years 2008 to 2012. The factor analysis method and comparative analysis method are employed and further the multiple regression analysis is used to identify the important factors for short-term M&A performance. The results show that the performance of coal companies in our...
This paper investigates the influence of internal control on executive pay-performance sensitivity in public welfare SOE and commercial SOE in China by empirical study. Finally, we find that the implementation of internal control can not improve executive pay-performance sensitivity in all kinds of SOE, which means the reform of state-owned enterprises in China can not be the same mode. We need to...
In this paper, we propose a new construction of perfect pk-ary sequences of period pk, where p is an odd prime and k ≥ 2 is a positive integer, based on cubic polynomials over the integers modulo pk. We show that, for some appropriate parameters, it generates perfect polyphase sequences which are not the generalized chirp-like sequences constructed by Popovic in 1992.
Detection and classification of distresses is a fundamental activity in the road pavement management. Even in the early stages of deterioration, road pavement needs to be monitored to identify problems, evaluating the actual conditions and predicting what the future conditions will be. Monitoring activities through manual/visual inspections are time consuming, costly and cause of safety concerns....
Convergence of Gibbs fields modeling procedures is evaluated. Evaluation of convergence time is based on analysis of a dynamics of random field realizations space-correlation characteristics during the process of Gibbs fields modeling. Gibbs fields modeling procedure stop time is estimated.
As the demand for, and cost of, resources increase, the brewing sector is increasingly at risk from a sustainability perspective. In response, brewers globally have embarked on efficiency improvement programs, often accompanied by ambitious, publicly committed targets. Benchmarks are then often used to assist brewers in identifying improvement opportunities, but a comparison of water and energy performances...
Hyperspectral image applications have been explored in various areas, but they are often suffered from coarser spatial resolutions. In recent years, many pan-sharpening approaches which are originally used for fusing panchromatic image with multispectral one have been adapted to hyperspectral images. Most of them ignore the fact that the spectral coverage of the panchromatic image does not match the...
This study aims at evaluating the regularity of periodic human movements through the analysis of the autocorrelation function of accelerometric signals obtained from wearable sensors. For this purpose a method has been implemented which can run also in real-time, and it has been tested in several experimental conditions and in various motor gestures including gait. Relevant for clinical and sport...
Foxmail client is one of the most popular tools to send and receive e-mail, and the mail data files preserved in it become an important target of computer investigation and forensics, from which the useful clues can be mined out and analyzed. In this paper, a visual Foxmail forensics system is designed to extract the information from the mail evidence file and display the association between the contacts...
This paper uses the data envelopment analysis method (DEA) to compare the efficiency of state-owned commercial banks, joint-stock commercial banks and urban commercial banks with 16 listed commercial banks in 2016, and points out the problems of commercial banks in China, and then put forward some suggestions.
The growing demands of processing massive datasets have promoted irresistible trends of running machine learning applications on MapReduce. When processing large input data, it is often of greater values to produce fast and accurate enough approximate results than slow exact results. Existing techniques produce approximate results by processing parts of the input data, thus incurring large accuracy...
The inference of the network traffic matrix from partial measurement data becomes increasingly critical for various network engineering tasks, such as capacity planning, load balancing, path setup, network provisioning, anomaly detection, and failure recovery. The recent study shows it is promising to more accurately interpolate the missing data with a three-dimensional tensor as compared to interpolation...
The adaptive elastic net has been widely studied in the microarray classification due to the elegant performances in gene selection. However, the classification accuracy will be affected if the noise is included. As such, this paper proposes a weighted adaptive elastic net for the binary microarray classification with noise by using the distances from the sample points to both class centers. Furthermore,...
In order to rank all the alternatives, basing on the systematic analysis of influencing factors of passenger travel plan selection, railway passenger travel plan evaluation system is established, using travel cost consumption, travel time consumption, travel convenience, travel fatigue and travel time satisfaction as evaluation index. In order to avoid the deviation of subjective factors, the weight...
Monitoring the nitrogen status of corn crop has significant influence in rational fertilization, production expansion, and pollution (caused by excessive use of nitrogen fertilizer) reduction. In order to rapidly acquire corn nutrient information in the field, a nondestructive method of corn nitrogen content measurement was conducted based on multispectral imaging. The multi-spectral image monitoring...
Loop collapsing is a well-known loop transformation which combines some loops that are perfectly nested into one single loop. It allows to take advantage of the whole amount of parallelism exhibited by the collapsed loops, and provides a perfect load balancing of iterations among the parallel threads. However, in the current implementations of this loop optimization, as the ones of the OpenMP language,...
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