Description: 基于内容的图象检索系统代码图片预处理是为了使图片归一化，归一化的目的是将每幅原始图像调整到相同的尺寸和对应位置，从而消除平移、缩放和旋转对于图像鉴别的影响以方便对图片进行的特征提取。-Content-Based Image Retrieval System code image preprocessing is to enable the picture normalized, normalized objective is to adjust each piece of the original image to the same size and the corresponding location, thereby eliminating the translation, scaling and rotation for the image identification impact on the picture to facilitate feature extraction. Platform: |
Size: 1303552 |
Author:hu |
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Description: 里面是单片机的开发板的源程序，包括AD，DA转换，数码管显示，按键的识别，液晶的显示是、数据存储，等等 还有开发板配套的原理图和PCB图纸，让你看整个程序更容易-There is a single-chip development board of the source, including AD, DA conversion, digital tube display, identification keys, LCD display, the data storage, and so there is supporting development board schematic and PCB drawings, so that you look at the whole process easier Platform: |
Size: 4453376 |
Author: |
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Description: The main objective behind this project is using speaker recognition for security purposes.
By security we mean identification of the speaker and thus granting permission to access details of very high confidentiality Platform: |
Size: 87040 |
Author:hari |
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Description: 目标的雷达散射截面(RCS)包含了丰富的目标类别信息,如何有效利用目标RCS特征对空间目标的雷
达识别具有重要意义. 文中提取中心矩作为特征向量,采用主分量分析( PCA)进一步进行特征压缩,利用支撑矢
量-Target radar cross section (RCS) contains a wealth of objective categories of information, how the effective use of target RCS characteristics of spatial object' s radar identification of great significance. Text central moments as the feature vectors extracted, using principal component analysis (PCA) further characteristics of compression, the use of support vector Platform: |
Size: 189440 |
Author:f0700 |
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Description: The attendance system is basically an embedded one.The microcontroller plays an important role in the system.
The main objective of the system is to uniquely identify and to make attendance for a person. This requires a unique product, which has the capability of distinguishing different person. This is possible by the new emerging technology RFID (Radio Frequency Identification). The main parts of an RFID system are RFID tag (with unique ID number) and RFID reader (for reading the RFID tag). In this system, RFID tag and RFID reader used are operating at 125KHz. The EEPROM used for storing the details has the capability of storing 256 person details at a time. The PC can be used for restoring all the details of attendance made.
This report provides a clear picture of hardware and software used in the system. It also provides an overall view with detailed discussion of the operation of the system. Platform: |
Size: 73728 |
Author:Binu |
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Description: 据分析, 驾驶员违章驾驶是当前导致交通事故的主要原因, 其中以违章超速和疲劳驾驶为违章重点。在客观上需要一种能够实时记录车辆行驶和驾驶员驾驶活动等相关信息的车辆行驶状态信息处理系统, 以遏止疲劳驾驶, 约束驾驶人员的不良驾驶行为, 预防道路交通事故, 提高营运管理水平, 降低交通事故发生率, 为事故分析和事故责任鉴定提供原始数据。-According to the analysis, the driver is currently illegal driving the main reason leading to traffic accidents, in which the violation is illegal speeding and fatigue driving focus. The objective need for a real-time vehicle and driver driving record and other related activities, vehicle status information, information processing system, to curb driver fatigue, restraint the driver' s bad driving behavior, prevention of road traffic accidents, improve the operational management level, reduce accident rates, accident analysis and accident responsibility for the identification of available raw data. Platform: |
Size: 13312 |
Author:lianghe |
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Description: 换档品质评价方法的研究是应现代车辆自动变速技术发展需要而提出的前沿研究课
题,其评价过程可视为一个非线性动态系统。BP 神经网络的非线性系统辨识 ,能够逼近任意
一个非线性函数。通过确定换档品质评定指标 ,利用BP网络训练获得的数据样本 ,从而建立
主观、 客观评价标准之间的联系 利用 Mat lab/ Simulink 完成换档品质评价方法的客观描述并
进行仿真。通过与实验结果对比 ,证明这种方法能够有效真实地评价换档品质并与传统主观
评价方法具有很好的一致性。-Shift quality evaluation method of research is to be a modern automatic transmission vehicle technology development needs and proposed course of cutting-edge research
Questions, the evaluation process can be regarded as a nonlinear dynamic system. BP neural network nonlinear system identification, can approximate any
A nonlinear function. Assessed by determining the shift quality indicators, using data obtained from BP network training sample in order to establish
Subjective and objective evaluation criteria linkages using Mat lab/Simulink complete shift quality and objective description of evaluation methods
The simulation. Compared with the experimental results show that this method can effectively evaluate the true quality and the traditional subjective shift
Evaluation method has a good consistency.
Platform: |
Size: 833536 |
Author:杜晓帆 |
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Description: Article_herra Distorted voltage and current waveforms is one of
the problems associated to electric power quality. Continuous
use of non-linear loads provokes the existence of voltage
waveforms with a high distortion. Thus, it is necessary to know
the responsible of this problem by means of the commonly
named distortion sources identification. In this paper, the
problem is analyzed through the harmonic power sign, with the
objective of knowing the sense of harmonic power flow
between source and one load in distorted systems. Nowadays, it
has already been established in the Literature that an analysis of
this kind does not solve the problem. Recently, new indices
have been introduced to evaluate a specific consumer distortion
level. In this paper, a comparative analysis of these indices is
carried out, having as reference a practical case. The results
obtained show that, in fact, these indices can help to valuate the
harmonic distortion, although none of them solve the question
definitively Platform: |
Size: 68608 |
Author:imedp |
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Description: 水文模型是对水文过程进行模拟计算的数学模型在水文过程模拟中!包括对流域内的产流坡面汇流及河道汇流过程的模拟#参数识别!就是根据特定的目标函数!确定一套固定的参数寻找法则!根据这套法则!可以估计出模型的参数值!其中模型参数识别是一个十分复杂且困难的问题-Hydrological model simulation of mathematical models of hydrological processes in the hydrological process simulation! The analog parameter identification! Including convection within the production flow overland flow and river flow process is based on the specific objective function! Determine a fixed set of parameters to find the law! parameter values of the model can be estimated according to the laws that!! model parameter identification is a very complex and difficult problem Platform: |
Size: 131072 |
Author:刘凯 |
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Description: 已知控制对象和目标函数，用粒子群算法对系统进行辨识的matlab程序。-Known control object and the objective function, particle swarm optimization (pso) algorithm for system identification of matlab program.
Platform: |
Size: 11264 |
Author:夏雨 |
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Description: The objective of this work is writing the details of the particular student in an institute and uses it as an ID for his/her recognition in a Smartcard Chip and Read it with a Reader whenever it is needed for convenient Identification.- The objective of this work is writing the details of the particular student in an institute and uses it as an ID for his/her recognition in a Smartcard Chip and Read it with a Reader whenever it is needed for convenient Identification. Platform: |
Size: 598016 |
Author:Raghavendra |
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Description: Video compression standards follow certain principles for frame identification based on Group of Pictures (GOP). It was observed that instead of following the pre-coded GOP, if frames are adaptively chosen based on simple matching criteria, further processing could be effectively done. It was also noted from the earlier techniques that the presence of B-frames leads to buffering of the memory within the past and future frames during the coding stage. The computational time increases with more number of B-frames. Hence, a novel framework has been emphasized in the present investigation firstly for adaptive frame identification and secondly, replacing B-frames with either I-frames or P-frames using NSEW Affine Translation for the purpose of video compression. The result shows that the performance objective evaluation coincides with the subjective evaluation. Platform: |
Size: 103424 |
Author:Opencvresearcher |
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Description: Video compression standards follow certain principles for frame identification based on Group of Pictures (GOP). It was observed that instead of following the pre-coded GOP, if frames are adaptively chosen based on simple matching criteria, further processing could be effectively done. It was also noted from the earlier techniques that the presence of B-frames leads to buffering of the memory within the past and future frames during the coding stage. The computational time increases with more number of B-frames. Hence, a novel framework has been emphasized in the present investigation firstly for adaptive frame identification and secondly, replacing B-frames with either I-frames or P-frames using NSEW Affine Translation for the purpose of video compression. The result shows that the performance objective evaluation coincides with the subjective evaluation Platform: |
Size: 103424 |
Author:Opencvresearcher |
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Description: UUID 的目的，是让分布式系统中的所有元素，都能有唯一的辨识资讯-UUID s objective is to allow all the elements of a distributed system, can have a unique identification information Platform: |
Size: 4096 |
Author:lhy |
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Description: FEATURE EXTRACTION USING MFCC:Mel Frequency Ceptral Coefficient is a very common and efficient technique for signal processing. This
paper presents a new purpose of working with MFCC by using it for Hand gesture recognition. The
objective of using MFCC for hand gesture recognition is to explore the utility of the MFCC for image
processing. Till now it has been used in speech recognition, for speaker identification. Platform: |
Size: 232448 |
Author:OTHMENE |
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Description: In the present work an application of fuzzy logic for leather surface defects identification is
investigated. The defects create a discontinuity at the surface which leads to regions with different intensities
than the background. Binary images are obtained after the segmentation. They contain non-defective
(regular texture) and defective structural elements. The objective is to classify the elements and to detect the
defective ones. This is done by applying a fuzzy logic technique as the application of different Rule Bases
and different numbers of output linguistic terms are investigated. Platform: |
Size: 36864 |
Author:mohammad |
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Description: 基于统计特征的语种识别算法分析与实现。1.提取语音的客观统计特征；2、通过分类器建立训练学习模型；3、将模型运用于汉语、英语、日语等语种识别实验，与人的主观感觉做对比-Based on statistical language identification algorithm analysis and Realization of objective statistics. The extraction of speech features 2, the classifier built the training learning model 3, the model was applied in Chinese, English, Japanese and other languages recognition experiments, and human subjective sensation compared Platform: |
Size: 7168 |
Author:朱锦涛 |
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Description: Commonly used uation measures including Recall, Precision, F-Measure and Rand Accuracy are
biased and should not be used without clear understanding of the biases, and corresponding identification of chance
or base case levels of the statistic. Using these measures a system that performs worse in the objective sense of
Informedness, can appear to perform better under any of these commonly used measures- Commonly used uation measures including Recall, Precision, F-Measure and Rand Accuracy are
biased and should not be used without clear understanding of the biases, and corresponding identification of chance
or base case levels of the statistic. Using these measures a system that performs worse in the objective sense of
Informedness, can appear to perform better under any of these commonly used measures Platform: |
Size: 1381376 |
Author:sacoura |
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Description: This paper focuses on improving the solution techniques
for the AC problem of active power dispatch by
using the DC approximation within the algorithm.
Our approach brings two benefits compared with benchmark
algorithms: it speeds up the solution of an iterative AC
algorithm thanks to a more efficient identification of
binding contingencies and allows improving the objective by an
appropriate choice of a limited number of corrective actions for
each contingency. The proposed approach is illustrated on five test
systems. Platform: |
Size: 822272 |
Author:ashijun |
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Search - objective identification