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Big data system has great effect on improving the informational level of the application and demand. The Internet of things and wireless sensor network (WSN) is the typical manifestation of big data. Communication process of big data system can be done adopting various wireless communication rules which include 4G, WLAN and WAVE. As each wireless communication rule has different application scene...
On the basis of SIW (Substrate Integrated Waveguide), the composite right/left-handed transmission line is applied to design the one-dimensional frequency-scanning antenna array. Firstly, an enclosed SIW composite right/left-handed transmission line cell structure is designed, then, the serial feed network of the antenna array is designed, and the composite right/left-handed transmission line cell...
With the emergence of Big Data applications and cloud computing in recent years, nowadays data centers are usually deployed with various kinds of Big Data applications and managed by resource manager such as Mesos. Mesos mainly focuses on computing resource and storage resource (CPU and memory), while ignoring network management. But research shows that efficient network resource management is crucial...
Data fusion theory is adopted in this article to discuss the ANN's implementation on data process and corresponding improved schemes, and the integration advantage of GA and neural network is also explained. Then we propose a GA based neural network model to realize data fusion with self learning habits and self organizing of BP network. The improved scheme overcomes the deficiency of BP algorithm...
In the traditional image classification methods based on the Spatial Pyramid Model (SPM), SPM increased the computational complexity of image classification in the process of obtaining the spatial distribution information of the local features, and the sub-region of SPM is defined in advance, so the image classification methods based on SPM have some limitations. In view of the problems above, this...
The CREST is an open source automatic test generation tool for C which based on Common Intermediate Language and Yices. One of its major advantages is that several heuristic search strategies are proposed to test larger programs. The success of CREST should be attributed to static instrumentation, concolic execution, and heuristic search. Thus, it's meaningful for software testing and vulnerability...
With traditional server, it's difficult to upgrade, maintain, manage and expansion our deployed applications, and also the development cost is high. These are the key issues that affect the mobile terminal performance of compute-intensive applications. To solve these problems, we design and implement an online translation system based on android platform, which is combined with mobile cloud computing...
Hybrid electric car fuel consumption optimization based on fuzzy control strategy has strong subjective dependence, and the control results cannot reach the most optimal value. So a kind of improved genetic algorithm is introduced into optimization of control rule. According to genetic algorithm theory, the vehicle fuel consumption and emissions are taken as the objective function and fitness function...
Energy saving and emission reduction are of great importance for the development of transportation. Therefore, researchers should conduct precise measurements on energy consumption caused by vehicles to support the applications of green navigation. In most cases, energy consumption are resulted by vehicles driving on the roads, of which are numerous and great mobility and hard to be directly collected...
With the establishment of the Bohai Economic Circle and the proposal of "Beijing, Tianjin, and Hebei coordinated development plan", urban construction scale of the city of northern China in the future will step on a new level. Transportation is the artery of urban development, and transportation and other infrastructure construction will provide a powerful guarantee for the rapid development...
In order to achieve the goal of economic and environmental mutual optimization of micro-grid system operation, a general model of multi-objective dynamic optimal scheduling is established, which takes the independent system simulation module and the operation optimization module as the core. The simulation module uses energy model to evaluate economic and environmental indexes of the system scheduling...
Building 3D tunnel model is one of the important work in underground mining management, the methods to build 3D tunnel model by secondary development of commercial software or using OpenGL are not convenient and efficient. After analyzing the structure of DXF file, a method that building 3D tunnel model based on DXF file is proposed. On the basis of designing the tunnel section type and parameters,...
Over the past decade, older persons represent a large group of digital products/services users that has increased steadily since the popularity of smart phones and tablets. However, elderly people's online behaviors let their digital privacy at a high risk situation. This paper first elaborates four typical ways of elderly internet adoption and then presents an extensive empirical of privacy related...
This study based on the current situation of the development of university entrepreneurship education and a large number of research literature, from the perspective of domestic and foreign comparative study of entrepreneurship education model. And defines the mode of entrepreneurship education in Colleges and universities. The author thinks that the mode of entrepreneurship education in universities...
In this paper it proposes the method to establish the autonomous learning intelligent platform based on BOT FRAMEWORK, by researching and developing the intelligent chatting robot based on BOT FRAMEWORK and comprehensively utilizing the new generation of information technology such as cloud computing and mobile internet etc, to establish an autonomous learning intelligent platform supporting the voice...
The objective of this paper is to compare the performance of four Data - analytic methods, namely grey systems theory, time series and exponential smoothing method, the neural network method, and the combination model method, as tools for forecasting the optical fiber loss. Method performance was evaluated through the characteristics Curve, SSE(sums of squared errors), MSE (mean square error), MAE...
During the process of English teaching, the teachers should have the ability to extract the English text summarization rapidly and analyze certain type of information comprehensively. While in the process of summarization automatic generation, perfect similarity computation plays important role for successful summarization. A novel similarity computation method is proposed in this paper, which improves...
In twenty-first Century, the course offered of each basic subject is constantly developed with the development of information technology, which is in the state of "present progressive tense" with the integration of information technology. From the psychology and teaching theory, in this paper, we discussed the theoretical basis about the integration of super sketchpad based on 3D virtual...
This paper proposes a mathematical model of residential community opening up strategy for smart city. The model is an improved U. S. Bureau of Public Roads (BPR) model which additional considers the factors: pedestrian, bicycle and non-motorized vehicle. The model evaluates the traffic time after communities' opening up. Finally, this paper gives some instances and analysis of four different kind...
Constant expansion of construction land leads to occupation of massive cultivated land and increasingly prominent contradiction between human and land. Scientific prediction and reasonable planning utilization of construction land have great importance. In the paper, statistical data of Kunming from 2002 to 2011 is selected. Influence factors undergo correlation analysis and grey correlation degree...
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