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This paper presents an MVB signal capturer based on microcontrollers for metro train on-line health monitoring system. This signal capturer is of low cost and high power efficiency. The hardware of the on-board unit is built, and firmware for signal detection is designed.
In this paper, we have established a forecasting model of atmospheric pollution. The forecasting model which combines with data mining techniques and BP neural network algorithm is based on the monitoring data of air pollution obtained from Shijiazhuang air quality monitoring stations. Firstly this model uses the data mining technology to find the factors which affect air quality. Secondly it uses...
On the problem of covert channel detection, the traditional detection algorithms exist specific covert channel blind area, or it is useful for some kind of covert channel detection but ignore other covert channels. In order to solve this problem, in this paper proposes network covert channel analysis method based on the density multilevel two segment clustering. Firstly, the problem of covert channel...
According to the defect of satellite mobile communication channel with remote transmission distance, serious signal fading and severe interference, based on in-depth theoretical research and simulation analysis, full shadow channel model which is applicable to the characteristics of satellite mobile communication channel was given. On this basis, Bit error rate (BER) of 2DPSK signal transmission of...
Policy conflicts problem is the bottleneck restricting of multi-domain access control. In this paper, we study the factors and detection methods of multi-domain access control policy conflict. Focused on the typical multi-domain access control model of RBAC, we proposed a policy conflicts detection method based on synthesis strategy and correction set, which is improved rely on updating global policy...
Test case prioritization technique is an efficient method to improve regression testing activities. It orders a regression test suite to execute the test cases with higher priority earlier than those with lower priority, and the problem is how to optimize the test case ordering according to some criterion. In this paper, we have proposed an algorithm which prioritizes the test cases based on ant colony...
A haze removal method for single image on complex imaging background is proposed. The basic assumption of dark channel prior and the selecting principle of atmospheric light value are studied theoretically, and it is found that the template scale plays a key role in the determination of atmospheric light value and the quality of transmission image, which are two crucial parameters for getting high-precision...
As one of the most popular social media platforms, Twitter has become a tool that people widely used to share their contents, their interests and events with friends. Meanwhile, we are facing a big challenge to find the bursty events from the large volume of continuous text streams quickly and accurately due to millions of data produced every day. In this paper, we proposed a BBW (Basic-Burst Weight)...
We propose some criteria for GUI regression testing to determine the appropriate time to stop without wasting too much testing cost. This is essential for all software upgrades that can be released in a reasonably short time, yet still guarantees the product quality. One difficulty to achieve such a target depends on the sequence of test cases being input. The order affects the number of found failures...
Robot Framework is a generic test automation framework based on keyword-driven and has been widely used in the automated testing of server. In this paper, Robot Framework is extended by test libraries to include some features in order to meet the demands of server testing, and the extended framework is used to execute the automated installation testing of server drives and firmware. Finally, analysis...
We proposed a novel straight line detection method that can exclude line segments belonging to curved lines and integrates line segments of the same straight line. The proposed method links the edge pixels into strips and segments each strip into a series of line segments. Then the line segments are exploited to split the strips into strip fragments without turning points and then identify candidate...
This paper proposed an improved threshold function and threshold estimation method for analyzing the characteristics of the wavelet threshold denoising. Because hard threshold denoising makes boundaries fuzzy and soft threshold denoising has Gibbs phenomenon, the new threshold function and estimation method have better adaptive. Results show that the improved method can effectively remove the white...
Currently, the methods of entity relationship modeling are mainly based on existing historical data or Complex Networks, because one-dimensional elements characterizing clusters relationship can't be a true reflection of the entity relationship and potential structure of IOT(Internet of Things). This paper proposes a method of entity relationship modeling of IOT based on Supernetwork, by considering...
Process algebra have been effectively exploited for modeling and verifying functional aspects of services composition, but non-functional aspects have not been given enough care due to process algebra lacking of capability of modeling them. In this paper, we propose a novel process algebra called PTPA that incorporates price and cost. We present syntax and semantics of PTPA. And an algorithm is proposed...
In large or medium retail enterprises, the downstream of the supply chain is usually composed by distribution centers or various warehouses. Since the distance of each distribution route is large, so the optimization of path is very important for the cost control and profit maximization of the enterprise. This paper uses Dijkstra Algorithm to solve the shortest path problem, and uses the method of...
Fuzzy Labeled Transition Refinement Tree (FLTRT) is a rigorous refinement model which supports abstraction and handling incomplete information and by the way reducing complexity of refinement process. It is based on Fuzzy Labeled Transition System (FLTS) which is a generalization of well-known Labeled Transition System, enhanced by fuzziness facility. The FLTRT structure serves as a tree of potential...
Based on deep analysis and research on the Lucene index mechanism, the paper uses memory as buffer to construct index file, combined with disk index storage, and carries on the collaborative index, forming an extensible search engine solution, which greatly alleviates the bottleneck problem of building index to search.
Since large quantity and wide range of the monitoring objects, high concurrent of the business access, complication and changeability of the runtime environment, it is difficult to adopt a single communication transmission system and a single way of media access in the communication of smart distribution grid. It is existed as public network, private network, cable network and wireless network all...
We proposed an effective block medical image fusion method based on adaptive pulse coupled neural networks (PCNN) in this paper. Source images are divided into several blocks, and then we calculate the spatial frequency (SF) of the blocks as linking strength β of the PCNN, so it adjusts β of the PCNN adaptively. The block images are input into PCNN to get the oscillation frequency graph (OFG), which...
With the advent of the big data era, traditional data mining algorithm becomes incompetent for the task of massive data analysis, management and mining. The development of cloud computing brings new life to algorithm parallelization. In this paper, we have studied the K-means algorithm, one of the clustering algorithm. Then we attempt to improves this algorithm via the method that sample the large-scale...
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