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2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)最新文献

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Research of hybrid collaborative filtering algorithm based on news recommendation 基于新闻推荐的混合协同过滤算法研究
Yao Dong, Shan Liu, Jianping Chai
This paper introduced the personalized recommendation technology to the news system. In order to meet the demand of the users' personality and ease the problem of data sparse, the research work proposed the hybrid collaborative filtering algorithm based on news recommendation. It improved correlation coefficient formula by adding news hot parameter when calculating the similarity of users, and then used hybrid recommendation algorithm to forecast users' ratings to make user-rating matrix to non-zero values. Experimental results illustrated that the hybrid recommendation algorithm can effectively increase the accuracy and stability of recommendation so as to achieve better recommendation results.
本文将个性化推荐技术引入新闻系统。为了满足用户个性需求和缓解数据稀疏问题,本研究提出了基于新闻推荐的混合协同过滤算法。在计算用户相似度时,通过增加新闻热点参数对相关系数公式进行改进,然后利用混合推荐算法预测用户评分,使用户评分矩阵趋于非零值。实验结果表明,混合推荐算法可以有效地提高推荐的准确性和稳定性,从而获得较好的推荐效果。
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引用次数: 10
Vector analysis on the fault-tolerant abilities of combined analog circuit systems 组合模拟电路系统容错能力的矢量分析
Meng Zhang, Jingsong He
Fault-tolerant mechanisms have been an essential part of electronic equipments in extreme environments these years. The combined analog circuit system can work properly when one or several parts of it break down. Then, what factors affect the fault-tolerant performance of such systems? System function is the most direct reflection of the output of a circuit, it can necessarily give us much useful information. From the perspective of vectors,this paper analyzed the phase angle of the combined circuit system based on system functions and furthermore inferred the relation between angle and fault-tolerant abilities. Experimental results show that, the larger angle a combined circuit system has, the better its fault-tolerant performance is, which will provide great benefit for designing analog circuit with better fault tolerance.
近年来,容错机制已成为极端环境下电子设备的重要组成部分。组合模拟电路系统在一个或几个部分发生故障时仍能正常工作。那么,哪些因素会影响这些系统的容错性能呢?系统的功能是电路输出最直接的反映,它必然能给我们提供很多有用的信息。从矢量的角度出发,基于系统功能分析组合电路系统的相位角,进而推导出相位角与容错能力的关系。实验结果表明,组合电路系统的角度越大,其容错性能越好,这将为设计容错性能更好的模拟电路提供很大的好处。
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引用次数: 1
The Pareto rank algorithm for the division of the sub arrays for the phase array radar 相控阵雷达子阵划分的Pareto排序算法
Dan Wang, Hang Hu, Zhitao Yang
With the continuous development of the electronic technology, there are many advanced technique that can be a threat to the traditional radar system in the modern war. The viability of radar systems is more and more depending on their anti-jamming capabilities. In other words, the radar is useless if it is not an anti-jamming radar. The viability of the radar system has been dramatically increased due to the use of the phase array radar. In phase array radar system, there are always thousands of antenna units. Each antenna unit has its own signal processing system. All the antenna units are put together in a plane according to some given order. In order to reduce the cost, we have to decrease the number of receive paths. Therefore, in this paper, we propose an approach to reduce the paths in phase array radar. The simulation results show that our proposed approach works well.
随着电子技术的不断发展,现代战争中出现了许多对传统雷达系统构成威胁的先进技术。雷达系统的生存能力越来越依赖于其抗干扰能力。换句话说,如果雷达不是一个抗干扰雷达,它是无用的。由于相控阵雷达的使用,雷达系统的生存能力大大提高。在相控阵雷达系统中,总有数千个天线单元。每个天线单元都有自己的信号处理系统。所有的天线单元按照一定的顺序排列在一个平面上。为了降低成本,我们必须减少接收路径的数量。因此,在本文中,我们提出了一种减少相控阵雷达路径的方法。仿真结果表明,该方法是有效的。
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引用次数: 16
An infrared image processing system for mobile remote sensing 一种移动遥感红外图像处理系统
Gaojin Wen, Can Zhong, Zhe Wang, Zhaorong Lin, Yun Xu
This paper presents an infrared image processing system for monitoring and mapping the thermal distribution of regions in mobile remote sensing applications. The processing system consists of five modules: non-uniformity correction, trajectory segmentation, odd even correction, image projection and visualization. It has been designed to perform thermal mapping efficiently and meet the special requirements of fast data processing. The processing system allows for the viewing of thermal distribution in a 2-d map model. The efficiency and effectiveness of the developed system are evaluated and tested by several image processing tasks.
本文提出了一种用于移动遥感应用中区域热分布监测与制图的红外图像处理系统。该处理系统包括五个模块:非均匀性校正、轨迹分割、奇偶校正、图像投影和可视化。它的设计是为了高效地进行热成像,并满足快速数据处理的特殊要求。该处理系统允许在二维地图模型中查看热分布。通过若干图像处理任务,对所开发系统的效率和有效性进行了评价和检验。
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引用次数: 1
An escaping scheme for gradient descent bit-flipping decoding of LDPC codes LDPC码梯度下降翻转译码的转义方案
Hua Li, Hong Ding, Linhua Zheng
The gradient descent bit-flipping (GDBF) decoding algorithm offers an attractive tradeoff between performance and complexity compared with the other bit-flipping (BF) decoding algorithms. However, the performance of GDBF decoding is seriously effected by infinite decoding loop, which always results in decoding failure when maximal iteration number is reached. To avoid the decoding loop and improve the performance, an efficient escaping scheme is proposed for the GDBF algorithm in this paper. This scheme firstly introduces syndrome weight to detect the decoding loop. If a decoding loop is detected, the escaping mechanism works, where only the bit which can decrease the syndrome weight most efficiently is selected to be flipped. In addition, the excluding set is introduced to further prevent the local maximum. Simulation results show that the GDBF algorithm can obtain about 1 dB code gain by utilizing this scheme. Compared with noise GDBF, it has 0.1dB performance loss as well as lower complexity.
梯度下降比特翻转(GDBF)译码算法与其他比特翻转(BF)译码算法相比,在性能和复杂度之间取得了很好的平衡。然而,无限循环的译码严重影响了GDBF的译码性能,在达到最大迭代次数时往往会导致译码失败。为了避免解码循环,提高性能,本文提出了一种高效的GDBF转义方案。该方案首先引入综合征权重来检测解码环路。如果检测到解码循环,则转义机制工作,其中只选择最有效地降低综合征权重的位进行翻转。此外,引入排除集进一步防止局部最大值。仿真结果表明,采用该方案,GDBF算法可获得约1db的码增益。与噪声GDBF相比,它的性能损失为0.1dB,且复杂度更低。
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引用次数: 2
Automatic control system of liquid pesticide ingredients production line 液体农药原料药生产线自动控制系统
Ping Feng, Yushun Wang
Chemical pesticides security and configuration problems of low precision blending process design a kind of liquid chemical pesticide ingredient line automatic control system. System consists of Host-Computer, PLC, weighing instruments and touch-screen configuration, which use Visual Basic develop design software, with data collection, storage and query capabilities. Omron PLC as the master controller for receiving the weighing instrument collection data and by controlling the electromagnetic valves and mixers and other equipment precise to control pesticide materials intake exactly. Using FINS protocol for communication between Host-Computer and PLC real-time data exchange. Commissioning of system has been successfully applied to a liquid chemical pesticide production plant. System has the safety, accurate and efficient advantages, and low construction cost, simple structure, has great marketing value.
针对化学农药的安全性和配置问题,设计了一种液体化学农药配料线自动控制系统。系统由上位机、PLC、称重仪表和触摸屏组态组成,采用Visual Basic开发设计软件,具有数据采集、存储和查询功能。欧姆龙PLC作为主控制器接收称重仪采集的数据,并通过控制电磁阀和搅拌器等设备精确控制农药进料量。采用FINS协议实现上位机与PLC之间的通信实时数据交换。系统调试已成功应用于某液化农药生产厂。系统具有安全、准确、高效的优点,而且施工成本低,结构简单,具有很大的市场价值。
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引用次数: 2
SIFT-based multi-frame super resolution for 250 million pixel images 基于sift的2.5亿像素图像多帧超分辨率
Katsuhisa Ogawa, Yuri Yamaguchi, Y. Iwamoto, X. Han, Yenwei Chen
In this paper, we propose a SIFT-based multi-frame super resolution for 250 million pixel images. In the proposed method, we first use the SIFT operator to detect key points in each frame. Then we use a closest matching method to find the correspondence among multi-frame images. The corresponding key points are used to register multi-frame images to a reference image, which is randomly selected from the multi-frame images. After registration, we combine the aligned multi-frame images to form a high-quality and high-resolution image. We applied the proposed method to enhance the quality of 250 million pixel images, which is obtained by the Canon's 250Mpixel CMOS-image-sensor.
本文提出了一种基于sift的2.5亿像素图像的多帧超分辨率算法。在该方法中,我们首先使用SIFT算子检测每帧中的关键点。然后用最接近匹配的方法找出多帧图像之间的对应关系。使用相应的关键点将多帧图像配准到从多帧图像中随机选择的参考图像。配准后,将对齐后的多帧图像进行组合,形成高质量、高分辨率的图像。我们将该方法应用于佳能的2.5亿像素cmos图像传感器所获得的2.5亿像素图像的质量提升。
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引用次数: 3
Research on IROS time synchronization algorithm for wireless sensor networks 无线传感器网络IROS时间同步算法研究
Tianyu Zhang, Guifen. Chen
A number of other important tasks can not be effectively carried out without proper time synchronization in wireless sensor networks. So time synchronization is an important part of wireless sensor network, and it has high research value. In this paper, an improved IROS synchronization algorithm is proposed based on the study of ROS synchronization protocol. By studying the correlation between the random components of different time points in the ROS algorithm, and the use of generalized least squares method to estimate model parameters. Thus, improve the accuracy of the time, and enhances the robustness of the algorithm, to achieve the purpose of optimization. The simulation results show that the IROS algorithm is less than ROS algorithm, and the average error ratio is 10 µs, and IROS broader scope, more robust.
在无线传感器网络中,如果没有适当的时间同步,许多其他重要任务就无法有效地完成。因此,时间同步是无线传感器网络的重要组成部分,具有很高的研究价值。本文在研究ROS同步协议的基础上,提出了一种改进的IROS同步算法。通过研究ROS算法中不同时间点随机分量之间的相关性,并采用广义最小二乘法估计模型参数。这样,既提高了时间的准确性,又增强了算法的鲁棒性,达到优化的目的。仿真结果表明,IROS算法比ROS算法误差小,平均错误率为10µs,且IROS适用范围更广,鲁棒性更强。
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引用次数: 2
A study of the adapting schematics for text-independent online writer identification 独立文本网络作者识别的自适应图式研究
Yabei Wu, Huan-zhang Lu, Zhi-Yong Zhang, Fei Zhao
In the Gaussian mixture model based online writer identification system, the writer specific models are usually learned by adapting the universal background model. However, among all the possible adapting plans, which one performs best is still an unsolved problem, as well as the underlying principles. Towards finding the answer, this paper analyses all the combinations of the parameter adaptation. The conclusion is that the local and global adapting plan make use of different information for discrimination. Adapting both the local and global aspect is capable of use the both information for discrimination. In the experiments, a study of 5 specific adapting plans is performed in different available test data, relevance factor, number of mixtures and feature set, which shows the advantages of the plan adapting both aspects. On the point based feature set, the weight adapting plan performs better than the mean adapting plan, which is contradict with the current research. On the all point based feature set, the plan adapting both the mean and weight acquired competitive performance with the state-of-the-art.
在基于高斯混合模型的在线作家识别系统中,作者特定模型通常是通过适应通用背景模型来学习的。然而,在所有可能的适应计划中,哪一个表现最好仍然是一个未解决的问题,以及潜在的原则。为了找到答案,本文分析了各种参数自适应组合。结果表明,局部适应方案和全局适应方案利用了不同的信息进行判别。同时适应当地和全球方面,能够利用这两种信息进行歧视。在实验中,针对不同的可用测试数据、相关因子、混合数和特征集,对5种具体的自适应方案进行了研究,显示了该方案在两方面的自适应优势。在基于点的特征集上,权值自适应方案优于均值自适应方案,这与目前的研究结果相矛盾。在全点特征集上,同时适应均值和权值的方案获得了具有竞争力的性能。
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引用次数: 0
Model and metric choice of image retrieval system based on deep learning 基于深度学习的图像检索系统模型和度量选择
Lei Wang, Xiling Wang
In the era of big data, Content-Based Image Retrieval combined with deep learning technology gradually becomes the mainstream. This method can overcome some drawbacks of traditional CBIR, but at the same time there are still some problems to be solved, such as: The extracted feature dimension (generally more than 2000) is higher, which is not beneficial for efficient data storage and fast real-time query on a large scale; And the measurement method for feature matching is difficult to be determined, since the typical method based on distance is designed in the low dimension, but in high dimensional space curse of dimensionality can make those former methods may be no longer suitable. In this paper we discuss a fast efficient CBIR to improve the performace of image retrieval system, through contrasting different model and metric choices. Contrast experiments show that 4 kinds of distances (namely Euclidean Distance, Minkowski Distance, Cosine Distance, Pearson Correlation Distance) is more suitable for processing the similarity measurement on high-dimensional feature, and 5 kinds of models ( namely vgg-m-128, vgg-m-1024, vgg-m-2048, vgg-verydeep-16, vgg-verydeep-19) have higher average query precision for image retrieval task.
在大数据时代,结合深度学习技术的基于内容的图像检索逐渐成为主流。该方法克服了传统CBIR的一些缺点,但同时也存在一些问题需要解决,如:提取的特征维数(一般在2000以上)较高,不利于大规模高效的数据存储和快速的实时查询;而特征匹配的测量方法很难确定,典型的基于距离的方法是在低维空间中设计的,但在高维空间中,维度的咒骂会使以前的方法不再适用。本文通过对比不同的模型和度量选择,讨论了一种快速有效的CBIR来提高图像检索系统的性能。对比实验表明,4种距离(欧氏距离、闵可夫斯基距离、余弦距离、Pearson相关距离)更适合处理高维特征的相似度度量,5种模型(vgg-m-128、vgg-m-1024、vgg-m-2048、vgg-verydeep-16、vgg-verydeep-19)对图像检索任务具有更高的平均查询精度。
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引用次数: 5
期刊
2016 9th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)
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