Applied Mechanics and Materials Vols. 738-739

Abstract: In this paper, several data mining techniques were discussed and analyzed in order to achieve the objective of human daily activities recognition based on a continuous sensing data set. The data mining techniques of decision tree, Naïve Bayes and Neural Network were successfully applied to the data set. The paper also proposed an idea of combining the Neural Network with the Decision Tree, the result shows that it works much better than the typical Neural Network and the typical Decision Tree model.

Abstract: Quantitative identification of the saline soil salinity content is a necessary precondition for the reasonable improvement and utilization of saline land, the article aimed at comparing the different quantitative analysis methods and achieving fast estimation of the saline soil salt content in the Yellow River Delta based on the visible-near infrared spectroscopy. Kenli County in Shandong Province was selected as the experimental area, firstly, the representative soil samples were selected, hyperspectral reflectance of the soil samples were measured in situ and transformed to the first deviation. Secondly the correlate spectra, the characteristic spectra and indices were firstly filtered using correlation analysis. Finally, the estimation models of soil salinity content were built using the multiple linear regression (MLR), back propagation neural network (BPNN) and support vector machine (SVM) respectively. The results indicated that the characteristic wave bands of soil salinity were 684 nm and 2058 nm. On the condition of the same input variables, the prediction precision of the SVM models was the highest, followed by the BPNN, the MLR was the lowest. The SVM model based on the first deviation of the reflectance at 684 and 2058nm had the highest precision, with the calibration R² of 0.91 and RMSE as 0.11%, the validation R² of 0.93, RMSE as 0.26% and RPD as 2.61, which had very good prediction accuracy of soil salt content, and was very stable and reliable. Different input variables had a great impact on the model accuracy, among of the MLR models, only the precision of the model based on characteristic spectral indices was slightly higher and could be used to estimate salt content, among of the BPNN and SVM models, the precision of the models based on characteristic spectra and indices was more high and stable significantly than the models on the correlate spectra. Therefore, for the three modeling methods of multiple linear regression, back propagation neural network and support vector machine, building the estimation model of saline soil salinity content based on characteristic spectra indices was effective.

Abstract: To relieve the traffic congestion in urban areas, one approach is to modify the current planning scheme based on the balance between traffic supply and demand. Based on the proposed GIS platform, this paper analyzes the interactive relationship between land use and traffic system. Feasibility judgment of planning scheme is implemented based on land attribute, represented by urban floor area ratio and road area ratio. TransCAD based simulation is used to evaluate the planning scheme by traffic flow and the saturation of each link. Comparisons between traffic generation and traffic network capacity, based on a two-dimensional model of Space and Time Consuming Method, is presented to verify the coordination between urban traffic and land use. A real-world case study is implemented to test the efficiency and applicability of the proposed model and computing methods.

Abstract: The remote sensing technology can accurate inverse the aerosol optical depth so as to demonstrate the haze distribution. Taking the moderate resolution imaging spectroradiometer (MODIS) remote sensor data as the data source, the aerosol optical depth of Shanghai area on December 6, 2013 is inversed from the use of second simulation of satellite signal in the solar spectrum (6S) and NASA V5.2 algorithm, and then the formation has already been analyzed from the three aspects of human activities, weather situation and foreign pollutants. The results show that the inversion aerosol optical depth from MODIS remote sensing image gradually decreased mainly from northwest to southeast, and the foreign pollutants plays the leading role in this haze pollution incidents in a certain weather condition. It can provide the references for haze pollution monitoring and early warning using remote sensor data.

Abstract: Based on the application of aerial images processing technology and 3D visualization technology, this paper used a series of procedures including aerial images procession, DEM generation, three-dimensional tower modeling and images recombination, and adopted VB + VRML to generate virtual three-dimensional images animation of the study area according to certain scale and flight routes, this three-dimensional power lines selection system provides the designers the most direct information to grasp the route of the transmission lines from the macro perspective.

Abstract: De-blurring the high resolution remote sensing images is an important issue in the relative research field of remote sensing. In this paper a novel algorithm of de-blurring the high resolution remote sensing images is proposed based on sparse representation. The high spatial resolution remote sensing images can be de-blurred by gradient projection algorithm, and keep the useful information of the image. The experimental results of the remote sensing images obtained by “the first satellite of high resolution” show that the algorithm can de-blur the image more effectively and improve the PSNR, this method has better performance than other dictionary learning algorithm.

Abstract: An intelligent management system for relay protection optical fiber channel is developed by B/S (Browser/Server, browser / server mode) structure and the system structure diagram is given. The design of the system function modules and database system client are described. The operation results show that the system has the advantages of simple operation and friendly interface. This system can satisfy four aspects about the system administrator, operator, tourists and user agent personnel to add, delete, modify, query and other job requirements.

Abstract: Collecting the parking information accurately and making good use of the existing parking spaces are keys to solve the problem of parking difficulty. Thus, the parking system based on internet of things technology was proposed. It used a geomagnetic sensor to collect the information of parking space and transmitted the information to the management center by using zigbee wireless communication technology. The center would release the information on the Internet. Via the website, vehicle owners could find a suitable parking space for their vehicle and know the shortest path to this parking. People can conveniently and accurately know the various information of each parking lot with the help of the system. Therefore, this system can effectively solve the problem of parking by monitoring and managing the parking information. It provides access to make good use of each parking space and improve urban transportation.

Abstract: A set of smart home control system based on Internet of Things is proposed due to the rapid development of smart home. This paper designs a system platform which people can use to make a remote query and control the home applications. Constrained Application Protocol is utilized in the communication between terminal devices which have limited memory and low calculation efficiency. The system has the characteristics of smart sensor, reliable transmission and intelligent processing. With the devices connected to the Internet, the results show that the system runs steadily so that it can provide the basis for further research of smart home.

Abstract: This system is taken as the extended subsystem of measurement and information of Benxi iron and Steel Corporation. It enforces the three grade measurement and administration, and provides the measurement of energy network, procedure energy, energy consumption and production basic information for the hot rolling. At same time, accomplish the applied software for the energy supervision and administrator system for extending the administration of the Benxi Steel and Iron Corporation measurement information system.