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A Vivaldi array antenna based on a substrate integrated waveguide (SIW) is investigated for operating bandwidth at 42 GHz band which is candidate for the 5th generation (5G) mobile communication systems. The antenna consists of a 1-to-8 way SIW power divider and 8 Vivaldi element antennas which are implemented on one substrate. Details of the simulation and measurement results are presented and discussed...
The segmentation of some scenes can be better for its next step in the processing and analysis. In this paper, the Gaussian mixture model clustering is used to detect and segment the scenes in the sports competition. Firstly, the main color of the scene is extracted by the method of color space histogram, and it is used as a sample for local training. Then we use the expectation maximization algorithm...
Land surface albedo is one of the crucial parameters affecting the land surface energy. The radiation reflected by earth's surface is anisotropic, and it's one of the main factors that affect the accuracy of albedo retrieval from remotely sensed observations. Based on the MODIS BRDF/albedo product and the six archetypal BRDFs, this study learned the effect of reflectance anisotropy on albedo retrieval...
Informationization has entered the era of big data; the existing information platform is difficult to assume the task of information gathering and analysis. For this reason, we build an information system for social institutions and civil sector based on virtual cloud platform. With the secondary development based on browser/server architecture, typical subsystems are developed, such as traditional...
MOOC is characterized by large amount of users and curriculums. The current main MOOC platforms are divided into information isolated island. So how to dynamic uniformly recommend courses to users that he or she is interested in, which is one of the challenges of such teaching network nowadays. MOOC course recommender system is a kind of knowledge service system based on the recommended models so...
Big Data and intelligent agent challenges involve various aspects of large-scale data utilization. Addressing these challenges require advanced methods and tools to capture, manage, and process the data. It's very meaningful to apply big data and intelligent agent technologies to smart grid. In this paper, we propose a reference architecture for big data systems in the smart grid application domain...
High-precision ranging radar is of vital importance in many fields. For an extended target, by exploiting the target impulse response (TIR), the ranging precision may be improved. In this paper, inspired by the concept of cognitive radar (CR), we propose a new approach for extended target ranging, in which waveform can be adaptively adjusted according to the varying TIR. In this approach, waveform...
The increasing number of academic papers published each year has led to a growing demand of organizing the papers into different categories according to their topics and analyzing topic trends over time. Domain knowledge such as journal categories and conference sessions are potentially useful for categorizing papers and obtaining trends easily interpretable to users. In this paper, we aim to organize...
Community research has been one of the classical and recent hot fields in sociology. With the increasing research findings, the themes and results of community and related branches have changed. This paper used China CNKI database as the data source, and 5856 articles of community research from Chinese Social Science Citation Index (CSSCI) which published between 2006 and 2015 years as data source...
The purpose of this paper is to find out the behavior characteristics of the individuals and the communities in the community evolution process, and get the evolution path, the evolution rule also the population migration results. We adopted the method of multi-agent system based modeling technology to model and simulate individuals, which includes conceptual model, agents' attribute, and interaction...
With the expansion of the multi-robot system, distributed coordination as its main organize mode. As a notable feature, robot can only interact with few of members in the local network, and connects with most of the others through network transmissions. Based on previous research, we found that, even if applied the same coordination strategy, different network topologies can direct and significantly...
In this paper, a web-based education platform, named Online Teaching Assistant System (OTAS) [1], for Signals and Systems course is presented and experimented. Besides delivering courseware on webpage, this system provides students with numerous online quizzes for enhancing their memory, understanding, and reaction about basic concepts in the mentioned course. We then designed an experiment and tested...
With the advancement of the avionics business, the improvement of the unmanned aerial vehicle (UAV) and the utilization of more get the consideration of individuals, unmanned aerial vehicle (UAV) for its little volume, minimal effort, multi-reason and reusable attributes turn into the center of consideration. Flight control framework is the center substance of unmanned aerial vehicle (UAV) to acknowledge...
Recommender system has been widely used in e-commerce systems nowadays. Current methodologies focus on predicting users' preferences from their previous ratings. Although the prediction is largely helpful, it gives limited insight to managers of e-commerce systems on how to utilize the interactions between users and items for designing new business and marketing strategies. Besides, big data collected...
Single sensor camera captures scenes using a color filter array, such that each pixel samples only one of the three primary colors. A process called color demosaicking (CDM) is used to produce full color image. In this paper, we present a new variational model for high quality CDM. The robust data term is measured by Z1-norm to repress the heavy tailed artifacts. The regularization term is measured...
Repeater deception jamming of GNSS receiver means rebroadcasting the satellite navigation signals received. This process does not need to break the decoding structure and the technical implementation is easy. Presently, Beidou user machine excludes the measured signal delay in the baseband signal processing, which may cause misjudgment if the delay threshold is set unreasonable. On the basis of existing...
Inversion of FeO and TiO2 by passive microwave radiometer not only provide support for high-precision quantitative inversion of lunar surface material component by optical remote sensing but also explore resources among the deep lunar regolith better. Using CE-2's passive microwave data, the daytime microwave map of the Moon is calculated based on the hour angle. The lunar regolith radioactive transfer...
Many previous studies attempted to extract prior reflectance anisotropy knowledge from historical Bidirectional reflectance distribution function (BRDF) product based on normalized difference vegetation index (NDVI) data. However, the correlation between reflectance anisotropy and NDVI is still controversial. This study used BRDF archetypes to represent different reflectance anisotropy, and analyzed...
For image matting, the affinity-based algorithms adore the hierarchical propagation to handle the memory problem. But they rely heavily on the accuracy of the pre-segmentation, and the hard input constrains may lead to the detail missing or foreground error. In this paper, we present a random walk based hierarchical algorithm with extended Dirichlet function. Regarding constrains as regularization,...
In this paper, we propose a new fractional order variational method for pan-sharpening, which aims to obtain a high resolution multi-spectral (MS) image from a low resolution MS image and a high resolution panchromatic (PAN) image. On one hand, we use the data generative constraint for preserving the spectral information. More specifically, on the other hand, we exploit the fractional order gradient...
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