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1. chinaXiv:202105.00070 [pdf]

Copula熵:理论和应用

马健
Subjects: Statistics >> Mathematical Statistics
Subjects: Computer Science >> Computer Application Technology
Subjects: Information Science and Systems Science >> Basic Disciplines of Information Science and Systems Science

统计独立性是统计学和机器学习领域的基础性概念,如何表示和度量统计独立性是该领域的基本问题。 Copula 理论提供了统计相关性表示的理论工具,而 Copula 熵理论则给出了度量统计独立性的概念工具。本文综述了 Copula熵的理论和应用,概述了其基本概念定义、定理和性质,以及估计方法。介绍了 Copula 熵研究的最新进展,包括其在统计学四个基本问题(结构学习、关联发现、变量选择和时序因果发现等)上的理论应用。讨论了四个理论应用之间的关系,以及其对应的深层次的相关性和因果性概念之间的联系,并将 Copula 熵的(条件)独立性度量框架与基于核函数和距离的相关性度量框架进行了对比。简述了 Copula 熵在理论物理学、化学信息学、水文学、环境气象学、生态学、农学、认知神经学、运动神经学、计算神经学、系统生物学、生物信息学、临床诊断学、老年医学、公共卫生学、经济政策学、社会学、政治学,以及能源工程、土木工程、制造工程、可靠性工程、航空航天、通信工程、测绘工程和金融工程等领域的实际应用。

submitted time 2022-05-12 Hits34579Downloads3756 Comment 0

2. chinaXiv:202204.00149 [pdf]

基于可解释网络的电力负荷预测

黄飞虎; 王金策
Subjects: Computer Science >> Computer Application Technology

负荷预测能有效助力负荷供需的动态平衡,保障电力系统稳定运行。基于统计模型和基于深度学习是目前构建预测方法的两种思路,但是少有从可解释的角度构建负荷预测方法。本文利用深度神经网络的非线性拟合能力,以及指数平滑模型的可解释特性,提出了深度平滑因子模型(DeepES)。从实际负荷序列数据中的预测结果来看,DeepES模型实现了最优的预测效果,而且相比于传统单一因子作为网络输入的RNNs网络具有更精确、可解释性更好的负荷预测模型。

submitted time 2022-04-26 Hits282Downloads173 Comment 0

3. chinaXiv:202204.00127 [pdf]

Fast detection method for Baggage pallet based on multi-layer

Qijun Luo; Zheng Li; Qingji Gao
Subjects: Computer Science >> Computer Application Technology

In the self-service baggage check and sorting of civil aviation, it is an essential function to automatically detect whether pallets is added to the self-dropped baggage, but the pallets are largely obscured by the embedded baggage,which becomes a challenging problem.For this issue, a fast detection method for embedded baggage pallets based on multi-layer skeleton model registration is proposed. In order to describe the characteristics of the pallet, the point cloud skeleton model and the point-line model are constructed by the 3D point cloud model. During online detection, the designed banded feature description and extraction method is used to grab the border point cloud, and the proposed point-line potential energy iterative algorithm is used to registration the point-line model and horizontal border points. Then, point cloud iterative nearest point registration based on random sampling consistency is used to achieve accurate registration and pose calculation. As a result, the possibility of the existence of the pallet is judged. The effectiveness of the algorithm is verified by a variety of actual pallet detection experiments. A variety of typical comparative experimental results show that when the pallet point cloud is missing within 70%, the algorithm can still maintain the accuracy of 94% and the speed exceeds typical algorithm is more than 6 times.

submitted time 2022-04-18 Hits1049Downloads243 Comment 0

4. chinaXiv:202105.00090 [pdf]

基于深度学习神经网络的电池分容阶段容量预测的方法

孙瑜
Subjects: Computer Science >> Computer Application Technology

本文提出了一个使用深度学习方法预测锂离子电池分容工序的容量的解决方案。该方案从化成和分容工序中提取部分工步的物理观测值记录作为特征,训练了一个深度神经网络(Deep Neural Network, DNN)实现了电池容量的精准预测。据测试,该模型预测的电池容量与真实值相比,平均百分比绝对误差(Mean Absolute Percentage Error, MAPE)仅为0.78%。将该模型与生产线结合,可以大大缩减生产时间与能耗,降低电池生产成本。

submitted time 2021-05-29 Hits10489Downloads826 Comment 0

5. chinaXiv:202105.00077 [pdf]

二维光学刺激下的视觉感知定律

祝锐; 刘玉红; 王体春; 陈龙聪; 谢正祥
Subjects: Computer Science >> Computer Application Technology
Subjects: Engineering and technical science >> Optical Engineering

人类对刺激量的感知分为数量感知和质量感知。无论是韦伯-费克纳(Weber-Fechner)的对数感觉定律还是史蒂文斯(Stevens)的幂函数感觉定律,都是关于感觉量与一维亮度刺激之间定量关系的定律。图像属于具有二维亮度分布特征的刺激量。本文研究的是二维亮度刺激的质量的感知,即二维亮度刺激质量好坏程度的感知。好坏程度是一个模糊的心理学概念,因此我们需要用模糊数学的方法来量化图像视觉感知质量的好坏程度,即建立一个模糊隶属函数PQ来定量表示图像视觉质量的好与坏的程度。

submitted time 2021-05-24 Hits12221Downloads1296 Comment 0

6. chinaXiv:202009.00125 [pdf]

Small Private Online Judge: A New Tool for Empirical Education Research

祝云篪; 赵作翰; 童澄达; 夏小俊
Subjects: Computer Science >> Computer Application Technology

This paper puts forward the concept of Small Private Online Judge (SPOJ). Compared with Massive Open Online Judge (MOOJ), SPOJ has advantages in structured data acquisition of students' virtual behavior for its specific function and tight coupling with the classroom. SPOJ-based empirical education research can be conducted within "Acquisition-Analysis-Application" (3A) Framework. The case study of a SPOJ program clarifies the standard pattern of SPOJ-based 3A research and highlights the emergence of education-intelligence concept. The challenges of SPOJ-based empirical education research and implications of SPOJ are also discussed.

submitted time 2020-09-30 Hits35797Downloads5611 Comment 0

7. chinaXiv:202008.00091 [pdf]

Better Than Reference In Low Light Image Enhancement Conditional Re-Enhancement Networks

张雨; 遆晓光; 张斌; 季锐航; 王春晖
Subjects: Computer Science >> Computer Application Technology

Low light images suffer from severe noise, low brightness, low contrast, etc. In previous researches, many image enhancement methods have been proposed, but few methods can deal with these problems simultaneously. In this paper, to solve these problems simultaneously, we propose a low light image enhancement method that can combined with supervised learning and previous HSV (Hue, Saturation, Value) or Retinex model based image enhancement methods. First, we analyse the relationship between the HSV color space and the Retinex theory, and show that the V channel (V channel in HSV color space, equals the maximum channel in RGB color space) of the enhanced image can well represent the contrast and brightness enhancement process. Then, a data-driven conditional re-enhancement network (denoted as CRENet) is proposed. The network takes low light images as input and the enhanced V channel as condition, then it can re-enhance the contrast and brightness of the low light image and at the same time reduce noise and color distortion. It should be noted that during the training process, any paired images with different exposure time can be used for training, and there is no need to carefully select the supervised images which will save a lot. In addition, it takes less than 20 ms to process a color image with the resolution 400*600 on a 2080Ti GPU. Finally, some comparative experiments are implemented to prove the effectiveness of the method. The results show that the method proposed in this paper can significantly improve the quality of the enhanced image, and by combining with other image contrast enhancement methods, the final enhancement result can even be better than the reference image in contrast and brightness. (Code will be available at https://github.com/hitzhangyu/image-enhancement-with-denoise)

submitted time 2020-08-26 Hits16125Downloads1292 Comment 2

8. chinaXiv:202007.00035 [pdf]

PandaDB:一种面向异构数据的智能融合管理系统

沈志宏; 赵子豪; 王华进; 刘忠新; 胡川; 周园春
Subjects: Computer Science >> Computer Application Technology

随着大数据应用的不断深入,大规模结构化、非结构化数据带来的异构数据的融合管理、关联计算和即席查询需求日益突出。现有异构数据融合管理技术与系统存在着数据模型表示能力弱、查询执行实时性差等问题。本文提出了适用于结构化、非结构化数据融合管理和语义计算的智能属性图模型,并定义了相关属性操作符和查询语法。基于该模型实现了异构数据融合管理系统PandaDB,并详细介绍了PandaDB的总体架构、存储机制、查询机制、属性协存、AI算法调度和分布式架构。测试实验和案例证明,PandaDB的协存机制和分布式架构具备较好的性能加速效果,并可应用在关联数据发布、个人相册管理、学术图谱实体消歧等融合数据智能管理的场景。

submitted time 2020-07-20 Hits4908Downloads1552 Comment 0

9. chinaXiv:202004.00026 [pdf]

Learning an Adaptive Model for Extreme Low-light Raw Image Processing

付清旭; 遆晓光; 张雨1
Subjects: Computer Science >> Computer Application Technology

Low-light images suffer from severe noise and low illumination. Current deep learning models that are trained with real-world images have excellent noise reduction, but a ratio parameter must be chosen manually to complete the enhancement pipeline. In this work, we propose an adaptive low-light raw image enhancement network to avoid parameter-handcrafting and to improve image quality. The proposed method can be divided into two sub-models: Brightness Prediction (BP) and Exposure Shifting (ES). The former is designed to control the brightness of the resulting image by estimating a guideline exposure time t 1 . The latter learns to approximate an exposure-shifting operator ES, converting a low-light image with real exposure time t 0 to a noise-free image with guideline exposure time t 1 . Additionally, structural similarity (SSIM) loss and Image Enhancement Vector (IEV) are introduced to promote image quality, and a new Campus Image Dataset (CID) is proposed to overcome the limitations of the existing datasets and to supervise the training of the proposed model. In quantitative tests, it is shown that the proposed method has the lowest Noise Level Estimation (NLE) score compared with BM3D-based low-light algorithms, suggesting a superior denoising performance. Furthermore, those tests illustrate that the proposed method is able to adaptively control the global image brightness according to the content of the image scene. Lastly, the potential application in video processing is briefly discussed.

submitted time 2020-04-14 Hits19982Downloads1699 Comment 0

10. chinaXiv:202004.00007 [pdf]

完整的嗅觉神经通路假设及建模

张锦; 田恬恬
Subjects: Computer Science >> Computer Application Technology

嗅觉神经通路研究是嗅觉研究的基础,对脑科学研究同样具有多方面的重要意义。综合已有相关研究成果,探索了完整的嗅觉神经通路假设。该神经通路包括以嗅球层为核心的前端部分、以内嗅皮质为核心的中端部分和以齿状回为核心的后端部分。在此基础上,本文构建了完整的嗅觉神经通路结构模型,并进行了初步分析。

submitted time 2020-04-03 Hits14180Downloads1542 Comment 0

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