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Geosynchronous SAR (GEO SAR) has better coverage and revisiting performance than the low Earth orbit SAR. Thus GEO SAR can implement the repeat-pass interferometry as its revisit time of 1 day and the orbit drift (forming baseline) induced by perturbation. In comparison, the twin GEO SAR formation configuration in which the slave satellite repeats the master satellite' track can realize shorter revisit...
In this paper a new vulnerability detecting method is proposed to detect buffer boundary violations. The main idea is to use the metric of array index manipulation rather than using any heuristic method. We employ a SVM-based classifier to classify the vulnerable functions and innocent functions. Then the vulnerable functions are fed to function call graph guided symbolic execution to precisely determine...
The Day/Night Band (DNB) of the Visible Infrared Imaging Radiometer Suite (VIIRS) onboard Suomi-NPP represents a major advance in night time imaging capabilities. During geomagnetic storms, auroras can be observed by the DNB on the night side over both hemispheres. The radiometrically calibrated DNB observations can enable quantitative analysis of the spatial distribution and temporal evolution of...
In this technical note, we develop two weak-invariance principles for nonlinear switched systems. We first present a union weak-invariance principle for switched systems which includes as a special case the integral invariance principle. It is shown that the switched solution approaches the largest weakly invariant set of the combined zero loci of the output functions. Then, we extend the union weak-invariance...
In this paper, the study of methods of multi-parameter objective evaluation of pronunciation is introduced. The accuracy of sentences, the emotional expression, the volume matching degree, tone, speaking rate and rhythm are selected as the parameters for evaluating an English sentence. As the result of the evaluation, an objective rating of the input voice, as well as the feedback are presented to...
In this study, we combine improved AHP with fuzzy evaluation to make a location decision. Specifically, it firstly introduced a new improved AHP with fuzzy methods, which changes the traditional scale from 1–9 to 0–2, and it is convenient to score the indicator system for experts, then conducted an empirical analysis to choose the candidate location for Haitong Port Parts Center, and finally proved...
Building, operating, maintaining, and updating traditional e-government IT infrastructure require financial resources for up-front infrastructure costs and IT administration expenditures. Due to economic down turn in developed countries and shrinking budgets in developing countries, governments are not in a position to extend an open ended financial support to IT assets and are increasingly looking...
Based on WordNet, we do some research on the co-occurrence phenomena of semantic relations in objective knowledge system. According to the structural characteristics of semantic relations in objective knowledge system, a co-occurrence degree function for pairs of semantic relations was proposed. We calculate co-occurrence degree from the data obtained by making statistical tests. Some useful conclusions...
In the research of composite service execution, runtime QoS ensuring of composite service is an important problem in composite service adaptation. This paper gives an introduction to the design and implementation of composite service adaptive execution supported environment monitoring system, analyzes the crucial problem of the system, builds up an experiment environment to test the monitoring system...
This article uses unascertained mathematics measure model to assess energy-saving conditions of construction management process. The target of this method is minimum energy consumption in the whole system of construction and is to identify factors which may cause energy wasting happen during construction. This method can prevent the occurrence of energy waste. In order to do the quantitative analysis...
Gradient boosting is a flexible machine learning technique that produces accurate predictions by combining many weak learners. In this work, we investigate its use in two applications, where we show the advantage of loss functions that are designed specifically for optimizing application objectives. We also extend the original gradient boosting algorithm with Newton-Raphson method to speed up learning...
Multi-tenant SaaS software as one of the application pattern in Cloud Computing delivers software thourgh Web to the users by rhe service manner. So, it can reduce the cost of users, and reduce the cost of the maintainess and management by providers. The first problem that must be considered is how to provide the most appropriate tenant to the user according to the business request from the user in...
Leaf color has been commonly used as an index for crop stress status diagnosis. We have developed a low-cost and non-destructive method that is easy to use to assess the health status of plants, based on the estimation of chlorophyll content of leaves using a portable digital camera. Relationships between chlorophyll content and leaf image color indices in the RGB and Lab* space with the comparison...
The paper proposes a dancing robot based on the beat tracking method. The robot can carry out different actions when receiving different musical signal input. The dancing poses are vivid and lifesome, and development of the robot is helpful to enhance intelligence of the traditional creational robot, which exerts a striking influences on the conventional toy market. In the paper, the design of the...
This paper proposes a novel and practical method to design the parameters of LC filter in distribution STATCOM. The filter parameters are mainly determined by four factors: the resonant frequency, the harmonic distortion rate, inductance fundamental voltage drop, and the reactive power compensation ability. The proposed method in this paper is that selecting larger filter inductance and capacitance...
Governments worldwide are increasingly becoming aware of the importance of employing e-government to improve the delivery of public services to the people. E-government readiness index is a composite measurement of the capacity and willingness of countries to use e-government for ICT-led development. This paper analyzes the Global e-Government readiness with a focus on e-Government Readiness Index...
With the large-scale 3G network application and market competition intensifies, operators pay attention to the Quality of Experience (QoE) increasingly. The main research results are how to map Key Performance Indicators (KPIs), Key Quality Indicators (KQIs) and Quality of Service (QoS) to QoE. The Customers' Satisfaction Degree (CSD) indexes contain technological and non-technological aspects, which...
By wavelet analysis of daily PM10 pollution index in recent 9 years in Shanghai, the multi-scale variations, primary period and influencing factors are analyzed. The result shows the air pollution pattern presents “serious in winter and slight in summer” at most scales; varies at diverse time-scales, and the primary period of the daily variations is about quasi seasonal.
This paper explores and identifies the rules of the unsteady evolution of NH3-N pollution in the upper and middle reaches of Minjiang River through multi-scale analysis on the weekly NH3-N pollution data for the last five years provided by the water quality monitoring station, Minjiang River Bridge, Leshan City, Sichuan Province. The results of wavelet analysis indicate that the NH3-N pollution index...
The concept of sustainable development, despite theoretically faultless, is less practicable due to its abstract quality. This paper cites a degraded small drainage area to analyze how the ecosystem, through controlling, has evolved from a seriously degraded baseline to a weak, and further a strongly sustainable status, by observing the change of I/O relationship. Accordingly, this paper proposes...
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