搜索资源列表
PREDICTION.FRACTIONALN.SPURS
- Fast settling-time added to the already conflicting requirements of narrow channel spacing and low phase noise lead to Fractional4 divider techniques for PLL synthesizers. We analyze discrete \"beat-note spurious levels from arbitrary modulus di
Pedestrian Detection and Tracking for Counting Applications
- This paper describes a vision based pedestrian detection and tracking system which is able to count people in very crowded situations like escalator entrances in underground stations. The proposed system uses motion to compute regions of interest and
A Survey of Spectrum Sensing Algorithms
- A Survey of Spectrum Sensing Algorithms The spectrum sensing problem has gained new aspects with cognitive radio and opportunistic spectrum access concepts. It is one of the most challenging issues in cognitive radio systems. In this paper, a survey
biyesheji
- 山东大学毕业设计 内含所有内容。源代码 电路图等等。系统由监控主机（PC机）和多个水质监测子机组成，它们之间借助无线通信平台实现远程水质信息收集和监测控制，从而可全面、准确、及时地掌握水域的水质信息，水质监控中心会实时做出水质报告和水质污染预报，为水资源保护、监督、管理和决策提供了有力的支持手段。-System consists of monitoring the host (PC) and various water quality monitoring sub-machine compone
bp
- 本书涉及的研究方法主要应用于油田生产的实际工作中，包括一般储层参数预测、薄互油藏参数预测、火山岩储层参数预测和储层随机模拟等问题，同时还涉及了石油工业中的油管缺损检测、海底输油管道腐蚀检测等应用问题，对污水处理絮凝过程的智能优化控制及移动机器人的全局和局部路径规划等问题的应用也进行了一定的研究。-Book of research methods involved are mainly used in oil field production of practical work, includi
performanceimprovementwithpredictivechannelselecti
- 基于信道的历史信息来预测不同信道的未来可用时间可以帮助CR选择一个最佳信道进行信息传递。不同的预测准则应用到周期或是随机的开关模式中。一个CR可以学习以往不同信道的模式。我们提出一个简单的分类和学习方法去检测模式的类型和收集需要的信息用于智能信道的选择。MATLAB仿真结果显示提出的方案在随机信道的随机和周期模式中都有优越的表现。随着时间的变化，新到的切换次数减少到55 ，并且延迟时间也相应减少，而吞吐量却在提高。-Prediction of future availability times
Ansys-of-welding-deformation
- Ansys-based software engineering prediction of welding deformation基于ANSYS上的焊接热过程模拟技术的研究-Ansys-based software engineering prediction of welding deformation
speed-prediction-problem-research
- 对于开发比较成熟的区块, 利用多种已钻井的VSP 速度, 结合精细的速度处理结果, 可以比较准确的预测速度, 达到较小的预测误差 但是对于海上探井较少或是勘探新区而言, 速度预测结果就存在较大的误差-For the development of mature blocks, using a variety of well VSP speed, combined with fine speed of processing results, can be more accurate predicti
A-survey-of-spectrum-sensing-algorithms-for-cogni
- The spectrum sensing problem has gained new aspects with cognitive radio and opportunistic spectrum access concepts. It is one of the most challenging issues in cognitive radio systems. In this paper, a survey of spectrum sensing methodologie
The-Use-of-some-Paradigms-of-Neural-Networks-in-P
- The Use of some Paradigms of Neural Networks in Prediction of Dielectric
IT2-fuzzy-expert-system-for-prediction-of-carbon-
- This paper presents an indirect approach to interval type-2 fuzzy logic system modeling to forecaste the level of air pollutants. The type-2 fuzzy logic system permits us to model the uncertainties among rules and the parameters related to data analy
Prediction-of-past-unsolved-terrorist-attacks
- In this study, a novel model is proposed to predict perpetuators of some terrorist events which are remain unsolved. The CPM learns from similarities between terrorist attacks and their crime attributes then puts them in appropriate clusters.
Prediction-of-Series-Criminals--An-Approach-Based
- 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 t
On-Robust-Linear-Prediction-of-Speech
- On Robust Linear Prediction of Speech
wing-power-prediction
- 关于风电场风速及发电功率预测的集中方法研究综述-A summary of the research on wind speed and generation power prediction of wind farm
Multi-objective-evolutionary-optimization-of
- Multi-objective evolutionary optimization of polynomial neural networks for fatigue life modelling and prediction of unidirectional carbon-fibre-reinforced plastics composites
prediction-of-wind-energy
- IT is about prediction of wind energy
diabetic prediction
- ROUGH SET REASONING MODEL FOR PREDICTION OF DIABETES MELLITUS
wind power prediction
- 准确的风电功率预测有利于含大规模风电电力系统的安全可靠、持续稳定运行，掌握风电功率预测误差的分布特征，对风电大规模并网有重要意义。以吉林省某风电场的实测数据为例，对风电功率进行超短期预测，利用非参数估计对预测误差分布进行拟合，分析了非参数估计与预测方法、预测时间间隔、预测误差概率分布形态以及风电场装机容量的关系，验证了所提出方法的有效性。(Accurate wind power prediction is conducive to safe, reliable, continuous and s
Numerical Prediction of Conjugate Heat Transfer in Fluid Network
- Numerical Prediction of Conjugate Heat Transfer in Fluid Network