Applied Mechanics and Materials Vols. 602-605

Abstract: In allusion to the low reliability and sensitivity of existing single-phase earth fault location method, this article proposed a new location method based on WAMS in mine non-effectively grounded network. It analyzed the logical relationship of zero-sequence current of each branch when single-phase earth fault occurred and deduced zero-sequence current formulae of each branch. The detailed description is given to calculating differential variable of zero-sequence current and explicating principle and realization of fault section location. The coal mine power supply model based on WAMS is introduced and the scheme was verified by simulation via MATLAB and calculation via Fast Fourier Transform. The results indicate that it avoids influences by load capacity and the voltage initial phase angle, then effectively enhances fault location reliability and sensitivity.

Abstract: For a long time, the parameters of carbon electrode product are obtained by manual testing record which filled in the labels. This paper introduces the function of Global Script and User Archive in WinCC, which achieves printing labels automatically on the test data obtained from the processing of carbon electrode’s automatic process system. Avoid some mistakes caused by manual detection, the data storage and data query in WinCC are very convenient.

Abstract: The research of the existing speech recognition is based on speech feature parameter, acco-rding to the shortage of poor anti noise and larger storage capacity, etc. So, curve interpolation has been introduced into speech feature parameter extraction to enhance that. Refer to the speech spectrum dynamic changes and the short-time energy smooth stationary characteristics of speech signal, this paper puts forward and designs an arithmetic of speech feature parameter extraction based on interpolation, constructs the feature parameter extraction and personal identification scheme based on speech, and also designs critical modules algorithm. The detail process of feature parameter extraction: firstly, it creates two-dimensional coordinate for each frame data. Then, according to two-dimensional coordinate, it performs Lagrange cubic interpolation for segmentation the data in a signal frame. Get the interpolation coefficient, average the interpolation coefficient for a signal frame, here the average value is seen as the feature parameter for each frame. Lastly, the each frame’s feature parameter is connected in series to form feature parameter of the speech segment. The arithmetic has been simulated an experiment, in order to confirm the applicability and feasibility. The results illustrates the method has preferable anti noise performance, especially expression and storage for overall speech segment feature parameter show more obvious advantages.

Abstract: To assure the safety of large power equipment during transportation, we developed the vibration model of large power equipment in transport process, derived the prediction model of allowed values of vibration before and during transportation. An online management and control system for large power equipment transportation with real time monitoring function was developed, in which the back-off algorithm based on warning priority was introduced in data transportation of wireless sensing network. The system changes the current offline recording of vibrations and other factors to online monitoring. Combined with prediction model, the system effectively prevents the damage of large power equipment during transportation.

Abstract: This project is a multi-platform operating system consisting of a upper monitor and some lower position machines. It mainly studies on the detection and control in the process of infusion treatment. Through the infrared detection of the waveform on pulse, using the pulse counting mode, we can measure the number of drops of liquid. We also use a drive motor to control the transfusion drip rate, thus the infusion tube can be closed when necessary and give an alarm. Such a system makes the nursing staff more convenient to operate and can reduce labor intensity and medical accidents.

Abstract: Currently, information security inspection can only be conducted via network scan using a laptop, which results in a low-efficient one-by-one check, and moreover lacks the ability to locate wireless networks and not to mention technical measures to discover hidden networks. With respect to the regulations of a power supply enterprise regarding wireless network security, combined with the operation and maintenance comprehensive supervision system (IMS), and the information extranet security monitoring system (ISS), a cascading wireless network security inspection platform is studied and implemented. This paper describes the wireless network encryption technology, and details the deployment pattern and the work flow, etc. about the wireless network security inspection platform. Experiments show that the platform provides support for the information security supervision work of wireless networks and can effectively safeguard the security of wireless networks in a power enterprise.

Abstract: Detecting and merging approximately duplicate records is not an emerging issue in the field of data cleansing, the majority of duplicated records detecting method is based on the "sort-merge" thinking. Although clustering methods have been applied to data cleaning, a large number of non-duplicated records exist in clusters after analysis as a result of the increasing records. Response to this shortcoming, this paper presents a data cleansing method based on Clustering Feedback Pattern. Comparison results of clustering are fed back to the cluster process so that recall and precision improve.

Abstract: For the purpose of settling problems in the present automated testing frameworks, the paper presents an automated testing framework based on keyword driven technology. At first, it summarized and analyzed the recent automated testing frameworks; and then it proposed the framework’s system architecture, and also presented the key technology details of the framework. At last, this paper compared this paper’s framework with the recent frameworks by the IP phone, which proved that this framework had superiority in reducing the scale of test scripts, raising the overall efficiency of testing and so on.

Abstract: In order to implement the recognition automation of rock section pore images, a method combined K-means clustering with probabilistic neural network is proposed and applied to rock thin section images. Firstly, K-means clustering is used as segmentation algorithm, the rock images are divided into two types and extracted enough features and it is shown good classification recognition effect on testing dataset. Secondly, 100 pieces of rock image section are used as validation dataset, including 20 groups, each group has 5 images and 200 data samplings. Experiments show that the probabilistic neural network can be used as rock texture classifier, the average correct classification rate is around 95.12%, which can meet the practical application needs.

Abstract: This work presents a new approach to locate targets near the sea surface based on Global Positioning System Signal Reflected (GNSS-R) in passive radar system. The algorithm uses an angle measuring system to obtain the elevation angle and the azimuth angle of the target’s reflected signal. This method makes use of traditional geometric method to achieve a precise position of target without estimating its height. The approach can successfully localize a target that is over 700km away from the receiver. It has a low localization error which has a over 80 percent chance less than 1 kilometer. Computer simulations are provided to demonstrate the effectiveness of the proposed scheme.