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Description: 数据采集与实时显示系统相结合，能够使实验人员在实验进行地过程中迅速了解设备的运行状况，从而及时做出判断和决策，对于实验的顺利进行具有重大意义。本文以HT-7超导托卡马克聚变实验中的数据采集与实时显示系统在windows下的开发过程为例，详细介绍了在Windows系统下，数据采集与实时显示系统的组成、硬件结构和软件设计，具有广泛的适用意义。-real-time data acquisition and display systems integration, to make laboratory personnel in the course of the experiment to quickly understand the operational status of equipment, so the time to make a judgment and decision-making, for the smooth conduct experiments is of great significance. Based on HT-7 superconducting experimental Tokamak fusion of real-time data acquisition and display system in the windows development process as an example, detailed information on Windows systems, data acquisition and real-time display system components, hardware and software design and extensive application of significance.
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Size: 270297 |
Author: gong |
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Description: 数据采集与实时显示系统相结合，能够使实验人员在实验进行地过程中迅速了解设备的运行状况，从而及时做出判断和决策，对于实验的顺利进行具有重大意义。本文以HT-7超导托卡马克聚变实验中的数据采集与实时显示系统在windows下的开发过程为例，详细介绍了在Windows系统下，数据采集与实时显示系统的组成、硬件结构和软件设计，具有广泛的适用意义。-real-time data acquisition and display systems integration, to make laboratory personnel in the course of the experiment to quickly understand the operational status of equipment, so the time to make a judgment and decision-making, for the smooth conduct experiments is of great significance. Based on HT-7 superconducting experimental Tokamak fusion of real-time data acquisition and display system in the windows development process as an example, detailed information on Windows systems, data acquisition and real-time display system components, hardware and software design and extensive application of significance.
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Size: 270336 |
Author: gong |
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Description: 加权融合算法，对不同的因素加不同的权值以达到最优-weighted fusion algorithm, the different factors in different weights to achieve optimal
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Size: 1024 |
Author: zhang |
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Description: ds证据理论的事例，用于数据融合判决，附说明和参考文献-ds examples of evidence theory for data fusion decision, with notes and references
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Size: 70656 |
Author: houjie |
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Description: 目的:运用强化学习!多分类器集成!降维方法等最新计算机技术,结合细胞病理知识,设计制作/智能化肺癌细胞病理图像诊断系统0"方法:采集细胞图像,运用基于强化学习的图像分割法将细胞区域从背景中分离出来 运用基于样条和改进2方法对重叠细胞进行分离和重构 提取40个细胞特征用于贝叶斯!支持向量机!紧邻和决策树4种分类器,集成产生肺癌细胞分类结果 建立肺癌细胞病理图库,运用基于等降维方法对细胞进行比对,给予未定型癌细胞分类"结果:/智能化肺癌细胞病理诊断系统0应用于临床随机1200例肺部病灶穿刺细胞学涂片,肺癌识别诊断率94180 ,假阳性率1185 ,假阴性率3135 ,肺癌分类识别率82190 ,核异型细胞识别率74120 "结论:/智能化肺癌早期细胞病理诊断系统0对肺癌细胞涂片诊断率高,克服了肺癌细胞病理诊断过程中取检细胞数量少,重叠细胞识别率低,涂片背景及染色差异等干扰因素,可辅助临床肺部病灶的穿刺细胞病理诊断"-Objective Design and develop a intelligent cytopathological lung cancer diagnosing system(ICLCDS) utilizing the latest computer technologies(including Reinforcement Lcaming Multiple Classifier Fusion and Dimcnsionality Reduction) and the cy-topathological knowledge on lung canccrcclls Methods We got information ofcclls and segregated cell regions in a slice image using an magi scgmcntouon a址orithm Sascd on reinforcement lcaming including rcconstmction of overlapped cell area Sascd on B一Spline and improved dcBoor-Cox Mcthoc} We comSincd multiple classifiers including Baycsian classific:Support Vector Machine(SVM)
classific K-Ncarcst NcighSour( KNN) and Decision c classific to achieve an accurate result of cytopathological lung cancer diag-nosis Results Experimental results on 1 200 cases randomly selected we as follows the accurate diagnosis rate for lung cancer idcn-tification was the false positive rate was 1. 8`J /c‘the false negative rate was 3. 3`J /c‘the type class
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Author: 高阳 |
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Description: 基于数字图像的嵌入式驾驶疲劳的信息融合技术，采用的是改进型DS证据理论的信息融合算法，在决策层上进行融合-Embedded digital image based on the fatigue of driving the integration of information technology, using the improved DS evidence theory of information fusion algorithm, in the decision-making on integration
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Size: 23552 |
Author: 刘理鹏 |
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Description: 信息融合是整体性概念。因此，应用人脑信息整体协调控制的概念，体现视觉、思维、决策的整体功能，是解决智能信息融合整体性的关键之一。-Information fusion is a holistic concept. Therefore, the application of the human brain the concept of coordination and control of information as a whole reflects the vision, thinking, decision-making the overall function is to solve the overall intelligent information fusion one of the keys.
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Size: 7168 |
Author: fengli |
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Description: 通过手部图像认证身份，采用了决策融合的方法，准确率很好-Image authentication by hand, using a decision fusion method, the accuracy was very good
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Size: 3481600 |
Author: 远财贸 |
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Description: 针对多个特征指标的多传感器数据融合问题，将Fisher理论和多数投票法相结合进行数据融合来增加识别率。该方法首先通过Fisher理论得到多个判别函数，然后通过多数投票法继续对得到的判别进行分类得到最后的识别决策。该方法适合多个特征目标识别，计算简单。易于实现-Indicators for multiple features multi-sensor data fusion problem, Fisher majority vote of the Combination of theory and data fusion to increase the recognition rate. This method first by Fisher theory of multiple discriminant function, and then by a majority vote method continues to be the discriminant classification to be the final identification of decision-making. This method is suitable for various characteristics of target identification, easy to compute. Is easy to implement
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Author: hufei |
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Description: Abstract：Spectrum Sensing is one of the key
technologies in cognitive radio．This article summarize$
the latest development in the field．ana—
lyzes the performance of detection algorithm for
physical layer and its detection policies，examining
the solution for improving the efficiency of
MAC layer detection using the tragic feature of
allthorized USel葛，and discusses about the data
fusion and decision in multi—user collaboration
detection．Based on the above aspects，this article
proposes the topics for further research．
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Size: 471040 |
Author: livedord |
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Description: 认知无线电技术的提出是为提高频谱利用率，而认知无线实现的关键技术是频谱感知，众所周知协作检测提高了衰落环境中认知用户系统检测的性能，该文章是基于协作检测提出新的检测方案，利用了双门限方法提高了系统性能，兼顾带宽有限和增强性能两个方面，是基于门限检测的协作检测性能优化的前提。对以后门限优化协作检测非常有用。-In this paper, we employ a double threshold method in energy detector to perform spectrum sensing, while a fusion center in the cognitive radio network collects the local decisions and observational values of the secondary users, and then makes the final decision to determine whether the primary user is absence or not. Simulation results will show that the spectrum sensing performance channels is improved significantly under the proposed scheme as opposed to the conventional method.
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Size: 374784 |
Author: 丽丽 |
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Description: 改进的贝叶斯多分类器组合规则，通过此方法可以进行决策融合-The improved Bayesian combination of multiple classifiers Rules decision fusion by this method
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Size: 182272 |
Author: panhao |
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Description: Information fusion by utilizing multiple distributed sensors
is studied in this work. Extending the classical parallel fusion structure
by incorporating the fading channel layer that is omnipresent in wireless
sensor networks, we derive the likelihood ratio based fusion rule given fixed
local decision devices. This optimum fusion rule, however, requires perfect
knowledge of the local decision performance indices as well as the fading
channel. To address this issue, two alternative fusion schemes, namely, the
maximum ratio combining statistic and a two-stage approach using the
Chair–Varshney fusion rule, are proposed that alleviate these requirements
and are shown to be the low and high signal-to-noise ratio (SNR) equivalents
of the likelihood-based fusion rule
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Size: 151552 |
Author: besho |
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Description: This study proposes a novel near infrared face recognition algorithm based on a combination of both
local and global features. In this method local features are extracted from partitioned images by means
of undecimated discrete wavelet transform (UDWT) and global features are extracted from the whole
face image by means of Zernike moments (ZMs). Spectral regression discriminant analysis (SRDA) is then
used to reduce the dimension of features. In order to make full use of global and local features and
further improve the performance, a decision fusion technique is employed by using weighted sum rule.
Experiments conducted on CASIA NIR database and PolyU-NIRFD database indicate that the proposed
method has superior overall performance compared to some other methods in the presence of facial
expressions, eyeglasses, head rotation, image noise and misalignments. Moreover its computational time
is acceptable for on-line face recognition systems
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Size: 1038336 |
Author: abdou |
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Description: Multiple Targets Classification and Fuzzy Logic
Decision Fusion in Wireless Sensor Networks
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Size: 295936 |
Author: oussama |
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Description: IJARCCE3E a megha A Survey on Data and Decision Fusion Strategies on Spectrum Sensing in Cognitive Radio Networks 2014
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Size: 679936 |
Author: noble |
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Description: Abstract—To overcome the difficulties of sub-band coefficients
selection in multiscale transform domain-based image fusion
and solve the problem of block effects suffered by spatial
domain-based image fusion, this paper presents a novel hybrid
multifocus image fusion method. First, the source multifocus
images are decomposed using the nonsubsampled contourlet
transform (NSCT). The low-frequency sub-band coefficients are
fused by the sum-modified-Laplacian-based local visual contrast,
whereas the high-frequency sub-band coefficients are fused by
the local Log-Gabor energy. The initial fused image is subsequently
reconstructed based on the inverse NSCT with the fused
coefficients. Second, after analyzing the similarity between the
previous fused image and the source images, the initial focus
area detection map is obtained, which is used for achieving the
decision map obtained by employing a mathematical morphology
postprocessing technique. Finally, based on the decision
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Author: senthil |
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Description: 多传感器融合的优化决策理论，对于学习传感器数据挖掘有一定的借鉴意义。-Optimal Decision Fusion in Multiple Sensor
Systems,pdf format.
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Size: 2013184 |
Author: liu |
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Description: 多源决策融合semi-supervised-multi classification learning machine for decision fusion in semi-supervised learning
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Size: 3072 |
Author: 朱鸶羽 |
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Description: DSmT理论中的决策规则函数源码，对于信息融合的应用有一定的参考价值，尤其对应于冲突性数据。(DSmT theory of decision rule function source code, for the application of information fusion has some reference value, especially in conflict with data.)
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Author: 白蜜蜂
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