Description: 根据GPS卫星的广播星历，计算卫星的位置，也可以进行GPS卫星位置的预报-GPS satellite broadcasting ephemeris, the location of the satellites, will be able to conduct the GPS satellite location prediction Platform: |
Size: 138064 |
Author:付建红 |
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Description: 根据GPS卫星的广播星历，计算卫星的位置，也可以进行GPS卫星位置的预报-GPS satellite broadcasting ephemeris, the location of the satellites, will be able to conduct the GPS satellite location prediction Platform: |
Size: 138240 |
Author:付建红 |
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Description: 连续系统灰色PID的位置跟踪，先是采用PID控制进行灰色预测，然后采用带有灰色估计器的补偿PID控制-Continuous system to track the location of the gray PID, first used for gray prediction PID control, and then using a gray estimator compensation PID control Platform: |
Size: 1024 |
Author:翟士伟 |
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Description: 本文针对SLAM数据关联中使用最为广泛的最近邻方法作了改进，利用特征估计位置与载体预测位置之间的欧氏距离计算代替了全部特征与每个量测之间的马氏距离计算，避免了大量的矩阵乘法计算。该算法简单易行，降低了算法的计算复杂度，有利于SLAM算法的实时执行，且关联效果与全局最近邻法相同-In this paper, SLAM data association in the most widely used methods of improving the nearest neighbor, using the characteristics of the estimated location and the location of vector prediction Euclidean distance between the calculation instead of all the characteristics of each measurement between the Mahalanobis distance calculation, to avoid a large number of matrix multiplication calculation. The algorithm is simple, the algorithm to reduce computational complexity and is conducive to the implementation of real-time SLAM algorithm, and the effects associated with the same overall nearest neighbor method Platform: |
Size: 8192 |
Author:liancb |
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Description: 在很多无线传感器网络应用中，没有节点位置信息的监测信息往往毫无意义。当监测到事件发生时，关心的一个重要问题就是该事件发生的位置，如森林火灾监测，天然气管道泄漏监测等。这些事件的发生，首先需要知道的就是自身的地理位置信息。定位信息除了用来报告事件发生的地点外，还可用于目标跟踪、目标轨迹预测、协助路由以及网络拓扑管理等-In many wireless sensor network applications, there is no node location information of the monitoring information is often meaningless. When monitoring the event occurs, an important issue of concern is the location of the incident, such as forest fire monitoring, natural gas pipeline leak monitoring. These events, first of all need to know is their location information. Addition to its use location information of the sites based on the report of the incident, can be used for target tracking, target trajectory prediction, Xie Zhu routing and network topology management, etc. Platform: |
Size: 110592 |
Author:wjw |
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Description: 人脸视频图像编码是近年来图像编码领域里的一个研究热点问题,它在通信、互联网等方面有着广泛的应用前景。人脸图像编码的研究包含很多子问题,主要的三个方面为:精确的人脸目标定位算法,实时的人脸目标跟踪算法和高效的人脸图像编码方法。本文的主要研究工作在于: 1) 提出帧间差分和背景差分相结合的人脸目标定位算法,在人脸特征选择上,主要使用形状特征,通过椭圆拟合来得到人脸的位置。 2) 采用基于Kalman滤波的运动预测方法对人脸的区域变化进行预测,以此缩小目标可能存在的区域(ROI).-Facial video image coding image compression in recent years a hot research topic in the field of the problem, it is in the communication, the Internet have a wide range of applications. Coding of face images contain many sub-problems, the main three are: accurate target location algorithm for face, real-time face tracking algorithm and efficient facial image coding method. This major research work are: 1) of the frame difference and background difference goal of combining face localization algorithm, feature selection in the human face, the main use of shape features, by ellipse fitting to get the location of the face. 2) Kalman filtering based motion prediction method changes the face of the region predicted to narrow the possible target area (ROI). Platform: |
Size: 1024 |
Author:周参 |
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Description: 用Kalman滤波方法对单个目标航迹进行预测，并借助于Matlab仿真工具，对实验的效果进行评估。
-Target tracking application context radar data processing, radar in the search to the goals and objectives of the record location data of the measured target position data (called a point of the track) processing, automatic formation flight path, and the target in the next The moment the position prediction. This article briefly discusses the Kalman filtering method to predict a single target track, and by means of Matlab simulation tools to assess the effect of the experimental. Platform: |
Size: 13312 |
Author:徐天宇 |
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Description: In predicting electrical tree growth behavior of
practical insulation materials under operating voltages, one must
consider the effects of mechanical tensile residual stresses,
electrical field stresses and the voids distribution to the electrical
tree growth. In this study a general model of electrical tree
propagation is firstly proposed depend on voids location in the
polymer, combines both the mechanical tensile residual stresses
and the electrical field distribution in the medium using charge
simulation method in combined with genetic algorithms to
describe the local damage features around the tree tip, and
enables this effect of compressive to predict the electrical tree
dynamic growth. The obtained results have been assessed
through comparison with available experimental data Platform: |
Size: 1173504 |
Author:vetrivel |
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Description: Criminal geographical profile is a methodology of
investigation, which makes use of correlation between crime
location and crime base of criminal to find out the most
probable place of the crime base. We introduce a model to
predict the future serial crime location with aid of criminal
geographic profiling and the time and locations of past crime
scenes. In this model, we take the effect of distance decay and
the local geographic features into consideration and formulate
a probability density function of the future serial crime site to
realize the prediction. Platform: |
Size: 284672 |
Author:ahmed |
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Description: Location prediction is a special case of spatial data mining
classification. For instance, in the public safety domain,
it may be interesting to predict location(s) of crime
hot spots. In this study, we present Support Vector Machine
(SVM) based approach to predict the location as alternative
to existing modeling approaches. SVM forms the new generation
of machine learning techniques used to find optimal
separability between classes within datasets. Experiments
on two different spatial datasets show that SVMs gives reasonable
results. Platform: |
Size: 197632 |
Author:ahmed |
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Description: Crime hot-spot location prediction is important for public safety. The output from the prediction
can provide useful information to improve the activities aimed at detecting and preventing
safety and security problems. Location prediction is a special case of spatial data mining classification.
For instance, in the public safety domain, it may be interesting to predict location(s) of
crime hot spots. In this study, we present a support vector machine (SVM)-based approach to predict
the location as an alternative to existing modeling approaches. Platform: |
Size: 453632 |
Author:ahmed |
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Description: In our model, firstly, we predict the residence of the
offender based on the locations of the last crime scenes with three
methods (distance analysis: the location that has the shortest
distance to each crime site, circle fitting, probability theory)
secondly, we predict the time of the next crime based on previous
data with the method of fitting a straight line Platform: |
Size: 663552 |
Author:ahmed |
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Description: Real Time Position Location & Tracking (PL&T) using Prediction Filter and Integrated Zone Finding in OFDM Channel Platform: |
Size: 424960 |
Author:li |
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Description: 参与式感知系统中基于社会关系的移动用户位置预测算法-Participatory sensing system based on the mobile user s location prediction algorithm social relations Platform: |
Size: 2073600 |
Author:wang |
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Description: 参与式感知系统中基于社会关系的移动节点位置预测算法 于瑞云,夏兴有,李婕，周岩，王兴伟-Participatory sensing system prediction algorithms based on the location of the mobile node of social relations- in zuiun summer Hing have, Li Jie, Zhou Yan, Wang Xingwei Platform: |
Size: 788480 |
Author:xiaozhang |
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Description: 根据GPS卫星的广播星历，计算卫星的位置，也可以进行GPS卫星位置的预报-GPS satellite broadcasting ephemeris, the location of the satellites, will be able to conduct the GPS satellite location prediction Platform: |
Size: 137216 |
Author:zhch62 |
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Description: 通过kalman预测目标的下一帧中所在位置，实现目标的准确跟踪(Through the Kalman prediction of the target in the next frame of the location, to achieve accurate tracking of the target) Platform: |
Size: 9248768 |
Author:蓝言
|
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Description: SignalP 4.1 server predicts the presence and location of signal peptide cleavage sites in amino acid sequences from different organisms: Gram-positive prokaryotes, Gram-negative prokaryotes, and eukaryotes. The method incorporates a prediction of cleavage sites and a signal peptide/non-signal peptide prediction based on a combination of several artificial neural networks. Platform: |
Size: 7651328 |
Author:xiaxiaxia
|
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Search - Prediction location