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Under the big data background, the massive traffic data provide the data to improve traffic control methods and put forward higher requirements for the accuracy of the traffic signal control. In this paper, we analysis the influence on green wave tape by queue length of vehicles through congestion data and sensor data on road, draw a queue dissipated model and import it into MAXBAND model. Then present...
Dynamic loading of transformers is the term used when the loading capacity is calculated using an appropriate thermal model while taking into account the load magnitude, load shape, thermal limits and external cooling conditions. For transformer dynamic loading, the aim is to estimate the transformer's maximum dynamic loading capacity without violating the hottest-spot temperature (HST) and top-oil...
Cardiopulmonary auscultation is one of basic curriculum of medical students. Generally, the multimedia is used to group teach auscultation techniques via classroom demonstration. However, due to the lack of authenticity and interactivity features, this approach is not fundamentally to meet the modern teaching of medical simulation teaching situations and individual teaching needs. The advancement...
The good performances of most classical learning algorithms are generally founded on high quality training data, which are clean and unbiased. The availability of such data is however becoming much harder than ever in many real world problems due to the difficulties in collecting large scale unbiased data and precisely labeling them for training. In this paper, we propose a general Contrast Co-learning...
In modern measurement technology, wireless sensor network has been widely used in the industrial and other fields. Threrinto,remote virtual measurement technoligy which use wireless network technology to obtain remote measuring data is a hot topics.In this paper,we ues wireless sensor networks to achieve remote measuring data,its emphases is the remote data transfer after measurement ,storing and...
Social Networks Service (SNS), is becoming more and more popular and a lot of studies have been carried out in this active field. However, traditional analysis methods based on single machines is not suitable because the network is growing too large. MapReduce, a programming paradigm proposed by Google, gives us a new approach to solve large-scale social networks analysis problem by making use of...
One major problem in the management of the current large networks is the complexity and the enormous amount of operations required to satisfy user demands while using resources efficiently. In this study, we propose a network traffic forecasting strategy based on BP neural network (BP-NTF). First, we analyse the characteristics of network traffic and establish traffic forecasting methods based on...
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