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Agricultural drought greatly impacts the crop yield. Monitoring agricultural drought can deliver critical information to farmers on when, where and how much to irrigate. However, precisely monitoring which requires many kinds of data sources and data fusion and mining is still a huge challenge for scientists. In recent years, many data sources like remote sensed hyperspectral images are released online...
This article presents the weighted data features of the standard deviational curve (SDC). Similar data features exist for the standard deviational ellipse (SDE). This paper presents weighted data features for the SDC which include the angle of rotation, the minimum and maximum standard deviation, the area, and the circulatory index. Performed correctly, weighted features give a better use of the areal...
Bei-bu winter wheat region (BBWR) is located in the northern boundary of the winter wheat area in China. The ecological environment is relatively poor. Drought is a major natural hazard that harms winter wheat growth in this region. Based on the daily rainfall data recorded at 45 national meteorological stations within the BBWR between 1960 and 2012, we calculated the Standardized Precipitation Index...
Automatic Music Transcription (AMT) is concerned with the problem of producing the pitch content of a piece of music given a recorded signal. Many methods rely on sparse or low rank models, where the observed magnitude spectra are represented as a linear combination of dictionary atoms corresponding to individual pitches. Some of the most successful approaches use Non-negative Matrix Decomposition...
Since many motor companies are considering applying gesture control to in-vehicle interaction, it becomes a question that how to match the secondary driving task with a suitable gesture. Based on the usability principle and the gesture database we built in this study, a usability test for in-vehicle gesture control was carried out in a simulated driving cockpit with an Eye-Tracker involved. 14 kinds...
As the Information and Communication T echnology is increasingly leveraged in education to advance education efficiency and effectiveness across the world, there came the need of new standards that could better support the integration of ICT into education. Abundant standards for pure technology or for traditional teaching & learning resources such as Curriculum Standards have been published,...
With the rapid development of educational information, the market demand for early childhood education software is increasing. But the evaluations of early childhood education softwares have fallen behind the development of software products. In this paper, we take the United States Haugland / Shade as evaluation criteria to evaluate those Apps with great download amount and with better feedbacks...
Speaker diarization systems aim to segment an audio signal into homogeneous sections with only one active speaker and answer the question "who spoke when?" We present a novel approach to speaker diarization exploiting spatial information through robust statistical modeling of Time Difference of Arrival (TDOA) estimates obtained using pairs of microphones. The TDOAs are modeled with Gaussian...
In the present paper, the effects of signal-to-noise ratios (SNRs) on the measurement of 19 atomic Lick indices are analyzed. The stellar spectra of the large sky area multi-object fiber spectroscopic telescope (LAMOST) are selected under different conditions, which allows investigating the impact of SNRs on the accuracy and precision of the measurement of Lick/LAMOST indices. The experiment result...
At present, with the reform of teaching experiments of computer science in colleges and universities, many colleges and universities have designed a variety of experiment teaching courses for students. In our university, we set up experiment teaching courses based on FPGA (Field — Programmable Gate Array) development board for students in both digital logic and computer organization courses. Aiming...
The number of extracted features for fault diagnosis in rotating machinery can grow considerably due to the large amount of available data collected from different monitored signals. Usually, feature selection or reduction are conducted through several techniques proposing a unique set of representative features for all available classes; nevertheless, in feature selection, it has been recognized...
This paper presents a novel mixed integer linear programming (MILP) model of the optimal automatic generation control (AGC) strategy under the control performance standard (CPS) for the interconnected power grid. Generally, the orders of AGC regulation can be represented as three-state variables, but the optimization model with three-state variables are difficult to solve. In order to reduce the model's...
In this paper, a Packet Loss Concealment (PLC) algorithm for ITU-G.722.2 speech coder is proposed in order to improve the decoded speech quality under burst packet loss conditions over packet-switched networks. First, we evaluated the repetition of the last received frame method in order to improve the concealment of lost frames. Then, we made a statistical study to evaluate the correlation between...
Low resolution satellite products are often validated by point-scale in-situ soil moisture measurements from TDR/FDR devices, where the scale mismatch limits the quality of validation efforts in heterogeneous regions. In Cosmic Ray Neutron Probes (CRNP) provide area-average soil moisture within a 150–250 m radius footprint, so that they are able to fill the scale gap between both systems. In this...
A new speckle reduction algorithm is presented in this paper to improve the visualization of synthetic aperture radar (SAR) images. The algorithm contains two steps. First, we propose a speckle reduction filter. This filter use different smoothing effect according to scene of sub-window. So it can maintain the details while noise suppression. Second, we propose a method to enhance the details. We...
Identification of runoff generation areas and erosion prone zones of a watershed are important for the efficient and effective implementation of the greatest management practices for preserving the natural resources. In the present study, an effort is completed to recognize the critical erosion-prone zones of the study area by using the spatially distributed parameters liable for hazards of erosion...
This paper attempts to retrieve leaf water content (LWC) by developing new vegetation indices from the combination of the near-infrared (NIR) and middle-infrared (MIR) spectral reflectances. The expanded vegetation leaf model PROSPECT-VISIR and the widely validated four-stream scattering by arbitrarily inclined leaves (4SAIL) model are employed to simulate canopy reflectance in 0.4–5.7 μm region with...
Local distinguishability of quantum states is a basic problem in quantum information theory. For an arbitrary group of entangled states in d ⊗ d bipartite system, Singal presented a subspace related to these states, and then he determined that the group of states can be distinguished by one-way local operations and classical communication(1-LOCC) if this subspace contains a maximally Abelian subspace...
The future warfare will be information joint. In order to achieve a high degree of integration of multiple combat forces, such as land, sea, air and rocket forces, space-based information support power should provide effective information security. In space-based information support joint operations, various satellite systems are required to cooperate with and complement each other to accomplish the...
The Harary index and Harary* index are defined as follows $H(G)=\sum_{k\geq1}\gamma(G,k)\frac{1}{k}$ and $H^{*}(G)=\sum_{k\geq1}\gamma(G,k)$, where $\gamma(G,k)$ be the number of vertex pairs of the graph that are at distance $k$. In this paper, the largest and smallest bound of the Harary index of trees with at most one generalized center vertex are determined. We give the formula of Harary$^{*}$...
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