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The regional differences in socioeconomic and resource endowments lead to significant spatial heterogeneity of farmland conversion. It is the basis for optimizing the allocation of land resources to carry out non-agricultural pressure measurement and reveal its spatio-temporal evolution pattern. In this paper, the evaluation index system of farmland non-agricultural pressure is constructed from four...
Current methods that use hyperspectral remote sensing imagery in the detection and extraction of marine oil spills are quite popular. Because the mixed pixels exist broadly in the hyperspectral images, the automatic and accurate end member extraction technology plays most essential role in the hyperspectral unmixing. This paper proposed a data field-spectral preprocessing module prior to end member...
Image retrieval has become an important function in many emerging computer vision applications e.g. online shopping via images, medical health care systems. More and more images are being generated and stored in public clouds. However, recent photo leakage events raise concerns about privacy leaks for images stored in public clouds. In this paper, we present an efficient scalable hierarchical image...
The paper focuses on the H∞ fault detection problem for a class of networked systems with intermittent measurements. The fault detection filter (FDF) design is formulated as an H∞ filtering problem by using a FDF. The random packet dropouts, which are described by a Bernoulli distributed sequence, are considered to exist in the communication channels. The packet dropout rate (PDR) is uncertain and...
This study proposes a method for improving the estimation of surface turbulent fluxes in surface energy balance system (SEBS) model under water stress conditions using MODIS data. The normalized difference water index (NDWI) as an indicator of water stress is integrated into SEBS. To investigate the feasibility of the new approach, the desert-oasis region in the middle reaches of the Heihe River Basin...
This study investigated how motivation, academic emotions, and self-regulated learning strategies influenced academic achievement in technology-enhanced learning environment. The research framework and hypotheses were proposed based on the literature review. A survey was administered to collect data from 238 undergraduates majoring in politics, philosophy, and physical education. The data was analyzed...
Well design and coordinated implementation of validation activity is necessary to evaluate the accuracy of remote sensing product. However, validation is not a straightforward task and remain many challenges. A generally recognized difficult issue is the inconsistence between sparse observations and remote sensing pixels, strong spatial and temporal variations of surface variables, and the intrinsic...
Spread-spectrum is a technique which is widely used in telecommunication and radio communication. For clock signal, this technique makes the clock signal energy distributed on the relevant frequency range rather than on the single frequency point. Thus the Electro-Magnetic-Interference (EMI) of clock is reduced. Since the clock signal is modulated by another signal, resulting in its frequency is changing,...
Dominant frequency (DF) mapping has been widely used to study the pathophysiology of atrial fibrillation (AF). In this study, a DF mapping system was developed to guide catheter ablation on electro-physiology (EP) procedures of persistent AF patients. The proposed platform has an automated graphical user interface (GUI) that processes non-contact unipolar electrograms (EGMs) recorded simultaneously...
Ambient occlusion is an illumination simulation approach used in ray tracing for decades. However, huge consume of multiple sample times, for a high re-solution, in ambient occlusion restricts its development. We propose an algorithm decreasing the sample times with adjacent pixels shared information in sampling process. By introducing this nova approach, we get a big improvement when comparing to...
In recent years, emerging technologies have been attracting increasing attention worldwide, due to the emergence of these emerging technologies may have a profound influence on the global industrial and economic structure. How to identify and grasp the opportunity to develop emerging technologies is an important issue for companies, enterprises, and governments. This paper, therefore, proposes a framework...
Constructing reasonable effectiveness evaluation index system is the key step to realize scientific evaluation of the equipment. In this paper, with the basic ADC as a reference, the concept of comprehensive effectiveness of the shipborne navigation equipment was formulated, and the meaning and influencing factors of availability, dependability, navigation capacity of the shipborne navigation equipment...
MapReduce plays an critical role in finding insights in Big Data. The performance optimization of MapReduce programs is challenging because it requires a comprehensive understanding of the whole system including both hardware layers (processors, storages, networks and etc), and software stacks (operating systems, JVM, runtime, applications and etc). However, most of the existing performance tuning...
Recently, keyword search has attracted a great deal of attention in an XML database. In many applications which backend data source powered by an XML database management system, keyword search because important to query XML data if the user does not know the structure or only knows the structure of XML partially. Given a keyword query, existing approaches first compute the lowest common ancestors...
According to the uncertainty of network information security, this paper mainly deals with a new model of comprehensive evaluation for the corresponding index system, which is based on interval-valued fuzzy mathematics. First, in order to determine the weight vectors, the membership frequency intervals and the frequent number of each intermediate value have been defined. Then on the basis of the fixed...
It is crucial for an instrumentation to have an efficient method of measurement signal analysis. Especially there are multiple sensors in the instrumentation, i.e. the multi-sensor information fusion. In recent years, we intend to discover a new method of multi-source massive data analysis. Based on the research of Formal Concept Analysis theory, we proposed the Hierarchical Concept Graph Model for...
This paper analyses the main reasons of yield risks, combined with the tariff recovery problems and the particularity of electricity market in power enterprises. Relative measures and methods are proposed to lower yield risks according to the analysis results. Besides, a yield risk management control evaluation system is established combined with Risk Control Theory. The management control measures...
The financial crisis is presented around the world and has affected China economy indirectly. The objective of this article is to study the impact of the crisis on performance of listed logistics companies and finds out what field it affects. In this article, we take 64 listed transportation & ware-housing companies as research objects. Applying factor analysis and Wilcoxon rank test, we find...
In addition to macroeconomic effects, the stock market conditions also closely relates to a number of unexpected events. The taken place of Wenchuan earthquake on May 12th, 2008, had short-term effects on the stock market, some experienced suspension, but some experienced soaring. 66 listed companies from Sichuan and Chongqing had experienced suspension from 13th of May, due to the earthquake. 45...
LZpack is a general file system benchmark tool conforming to POSIX.1. It provides an effective method to evaluate different file systems. It also offers reliable data to the developers who use POSIX.1 file system API to design applications. With the cluster testing structure, LZpack can make precise evaluations of file IO performance and file system metadata operation performance. This paper not only...
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