检索结果-内蒙古大学图书馆

arXiv 2020年

作者： Fan, Haoyi Zhang, Fengbin Wang, Ruidong Xi, Liang Li, Zuoyong School of Computer Science and Technology Harbin University of Science and Technology Harbin150080 China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Minjiang University Fuzhou350121 China

Unsupervised anomaly detection aims to identify anomalous samples from highly complex and unstructured data, which is pervasive in both fundamental research and industrial applications. However, most existing methods neglect the complex correlation among data samples, which is important for capturing normal patterns from which the abnormal ones deviate. In this paper, we propose a method of Correlation aware unsupervised Anomaly detection via Deep Gaussian Mixture Model (CADGMM), which captures the complex correlation among data points for high-quality low-dimensional representation learning. More specifically, the relations among data samples are correlated firstly in forms of a graph structure, in which, the node denotes the sample and the edge denotes the correlation between two samples from the feature space. Then, a dual-encoder that consists of a graph encoder and a feature encoder, is employed to encode both the feature and correlation information of samples into the low-dimensional latent space jointly, followed by a decoder for data reconstruction. Finally, a separate estimation network as a Gaussian Mixture Model is utilized to estimate the density of the learned latent vector, and the anomalies can be detected by measuring the energy of the samples. Extensive experiments on real-world datasets demonstrate the effectiveness of the proposed *** Codes 68T30 Copyright © 2020, The Authors. All rights reserved.

关键词： Anomaly detection

来源：评论

学校读者我要写书评

暂无评论

RISC-VTF: RISC-V Based Extended Instruction Set for Transformer

RISC-VTF: RISC-V Based Extended Instruction Set for Transfor...

引用

IEEE International Conference on Systems, Man and Cybernetics

作者： Qiang Jiao Wei Hu Fang Liu Yong Dong College of Computer Science and Technology Wuhan University of Science and Technology Wuhan Hubei China Hubei Province Key Laboratory of Intelligent Information Processing and Real-Time Industrial System China School of Computer Science Wuhan University Wuhan China Wuhan City College Wuhan China

ISBN: (纸本)9781665442084

Deep learning model Transformer has been widely used in natural language processing(NLP) filed, and its demand for computing resources is also growing. However, general-purpose processors(CPU and GPU) have invested excessive hardware resources in the design because they have to flexibly support a variety of tasks, they are not efficient for the implementation of Transformer. Consequently, various software optimizations that towards general-purpose processors have been proposed one after another. But, under the condition of ensuring sufficient accuracy, the degree of software optimization is limited. It is requisite to friendly-support Transformer at the hardware *** analysing the computational characteristics of the Transformer model, based on RISC-V, we designed a hardware friendly instruction set architecture for the Transformer model. In addition to the basic instruction, for the intensive and general computing part of the model, according to the expansion rules of RISC-V instruction, we design the matrix load/store instruction calculation instruction, softmax instruction, activation instruction and other user-defined instructions. They support any matrix scale, and deploy it on FPGA to realize a flexible and efficient custom processor RISC-VTF for Transformer. The design is integrated on the Xilinx toolkit zynq-7000 FPGA, and the resource consumption and performance are analyzed. Compared with the traditional common ISA(Instruction Set Architecture) such as x86, arm or MIPs, RISC-VTF provides higher code density and performance efficiency.

关键词： Analytical models Computational modeling Instruction sets computer architecture Transformers Hardware Software

来源：评论

学校读者我要写书评

暂无评论

Unified Framework for Oculomotor Nerve Reconstruction: Tractography-Based Anatomical Assessment

引用

Journal of neuroimaging : official journal of the American Society of Neuroimaging 2025年第3期35卷 e70052页

作者： Jiahao Huang Qingrun Zeng Ye Wu Jiawei Zhang Mengjun Li Lei Xie Mingchu Li Yuanjing Feng Institute of Information Processing and Automation College of Information Engineering Zhejiang University of Technology Hangzhou China. Zhejiang Provincial United Key Laboratory of Embedded Systems Hangzhou China. School of Computer Science and Technology Nanjing University of Science and Technology Nanjing China. Department of Radiology Second Xiangya Hospital Central South University Changsha China. Department of Neurosurgery Capital Medical University Xuanwu Hospital Beijing China.

BACKGROUND AND PURPOSE:The oculomotor nerve (OCN) innervates the eye muscles and can be affected by inflammatory, compressive, and pathological conditions. Diffusion MRI (dMRI) tractography shows the potential ability to describe the trajectory of the OCN. However, reconstruction of the OCN in the cavernous sinus is still challenging due to the complex tissue environment at the skull base. METHODS:In this study, we integrated anatomical knowledge to propose a unified framework for OCN tractography, using 45 dMRI datasets from the Human Connectome Project subjects aged 22-36 years and data from four neurosurgical patients aged 41-53 years with visual behavior disorders. We first employed automatically labeled direct and indirect anatomical landmarks as reference locations for individualized tractography. Next, we compared five widely used cranial nerve reconstruction algorithms to assess the most suitable method for OCN reconstruction. Finally, we tested the combination of the unified framework and the optimized tractography method in tumor patients. RESULTS:We found that unscented Kalman filter (UKF)-2T and probabilistic tractography outperformed other methods in OCN fiber tractography, owing to their "step-by-step" fiber direction computation and multidirectional consideration, respectively. In neurosurgical patients, UKF-2T effectively reconstructed OCN fibers around lesions. CONCLUSION:Our study provides valuable insights for researchers and clinicians in the diagnosis and treatment of OCN-related diseases and neurosurgeries.

关键词： Human Connectome Project diffusion magnetic resonance imaging neurosurgery oculomotor nerve tractography

来源：评论

学校读者我要写书评

暂无评论

Using quantum thinking to construct a musical appreciation system 2nd

Using quantum thinking to construct a musical appreciation s...

引用

2nd International Conference on Smart Vehicular technology, Transportation, Communication and Applications, VTCA 2018

作者： Peng, Mei Gangyi, Ding Qiankun, Jin Fuquan, Zhang School of Computer Science and Technology Beijing Institute of Technology Beijing100081 China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Minjiang University Fuzhou350121 China

ISBN: (纸本)9783030045845

With the richness of material and cultural life, participating in music activities and enjoying music works has become an indispensable activity in people’s leisure time. The rich emotions in music have different performances according to individual differences. After the composers create the music, the performer’s deductive processing and then the emotion is sublimated by the viewers finally. This paper proposes a new emotional system for basic emotional joy, anger, sadness, joy, etc., and interprets the superposition state of emotional expression in detail. The paper believes that the generation of consciousness and the resonance of thinking are precisely the result of the quantum collapse of mutual entanglement. © Springer Nature Switzerland AG 2019.

关键词： Music

来源：评论

学校读者我要写书评

暂无评论

Augmented reality-based pre-visualization for film making 2nd

Augmented reality-based pre-visualization for film making

引用

2nd International Conference on Smart Vehicular technology, Transportation, Communication and Applications, VTCA 2018

作者： Xue, Tong Ding, Gangyi Zhang, Fuquan School of Computer Science and Technology Beijing Institute of Technology Beijing100081 China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Minjiang University Fuzhou350108 China

ISBN: (纸本)9783030045845

With the development of the augmented reality technologies, wearing devices such as Microsoft Hololens and Google glass become highly popular recently. In this paper, we proposed a novel augmented reality application that helps the film directors to complete and facilitate their film rehearsal process. We simulated a design space to provide film directors with a high-fidelity visual-audio experience. The directors wearing the hololens are allowed to observe the synthesized virtual-reality space in which they can recognize the whole design space, prefabricated boxes, and modify the space by defined gestures. Feedbacks from directors indicate the proposed tool is effective and the preliminary experimental results agree with our observations. In general, our research offers the guidelines for novel film rehearsal tactics. © Springer Nature Switzerland AG 2019.

关键词： Visualization

来源：评论

学校读者我要写书评

暂无评论

Application of R-FCN algorithm in machine visual solutions on tensorflow based 5th

Application of R-FCN algorithm in machine visual solutions o...

引用

5th Euro-China Conference on Intelligent Data Analysis and Applications, ECC 2018

作者： Zhang, Yumeng Ma, Yanchao Zhang, Fuquan Beijing Information Science Technology University Beijing China School of Computer Science and Technology Beijing Institute of Technology Beijing China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Minjiang University Fuzhou350121 China

ISBN: (纸本)9783030037659

This paper presents a solution based on Tensorflow platform and R - FCN deep learning model about self-driving cars image processing. Through the Supervised learning of data sets, make them exercise the image segmentation and recognition of information, thus to self-driving cars driving decision-making support. © Springer Nature Switzerland AG 2019.

关键词： computer vision

来源：评论

学校读者我要写书评

暂无评论

The mean-variance-skewness cardinality constrained portfolio optimization problem using a customized multi-objective evolutionary algorithm 3

The mean-variance-skewness cardinality constrained portfolio...

引用

3rd IEEE International Conference on Electronic information technology and computer Engineering, EITCE 2019

作者： Li, Lan Huang, Wenlan Zhang, Yu Harbin University of Commerce School of Computer and Information Engineering Heilongjiang Provincial Key Laboratory of Electronic Commerce and Information Processing Harbin China Harbin University of Commerce School of Computer and Information Engineering Harbin China

ISBN: (纸本)9781728135847

MVSCCPO is a mean-variance-skewness portfolio optimization problem with cardinality constraint. It increases the skewness as the third objective, and introduces cardinality constraint to reduce the difficulty of asset management. A customized NSGA-III(c-NSGA-III) algorithm is proposed for the problem. It introduces an effective solution representation mechanism, customized crossover and mutation operators, a tournament selection based on membership is introduced in the mating selection phase instead of the original random selection method. Finally, an empirical analysis is carried out to verify the effectiveness of the proposed algorithm by comparing with NSGA-II and MOEA/D. The results show that c-NSGA-III performs better than other algorithms on solving MVSCCPO problem. © 2019 IEEE.

关键词： Clustering algorithms

来源：评论

学校读者我要写书评

暂无评论

Multiple Feature Fusion-based Video Face Tracking for IoT Big Data

arXiv

引用

arXiv 2021年

作者： Li, Tianping Liu, Zhifeng Qiao, Jianping Key Laboratory of Medical Physics and Image Processing in Shandong Province Shandong Provincial Key Laboratory for Distributed Computer Software Novel Technology Shandong Normal University School of Physics and Electronics Jinan Shandong China School of Physics and Electronics Shandong Normal University JinanShandong China School of Physics and Electronics Shandong Normal University Jinan China

With the advancement of IoT and artificial intelligence technologies, and the need for rapid application growth in fields such as security entrance control and financial business trade, facial information processing has become an important means for achieving identity authentication and information security. In this paper, we propose a multi-feature fusion algorithm based on integral histograms and a real-time update tracking particle filtering module. First, edge and colour features are extracted, weighting methods are used to weight the colour histogram and edge features to describe facial features, and fusion of colour and edge features is made adaptive by using fusion coefficients to improve face tracking reliability. Then, the integral histogram is integrated into the particle filtering algorithm to simplify the calculation steps of complex particles. Finally, the tracking window size is adjusted in real time according to the change in the average distance from the particle centre to the edge of the current model and the initial model to reduce the drift problem and achieve stable tracking with significant changes in the target dimension. The results show that the algorithm improves video tracking accuracy, simplifies particle operation complexity, improves the speed, and has good anti-interference ability and robustness. © 2021, CC BY.

关键词： Monte Carlo methods

来源：评论

学校读者我要写书评

暂无评论

Design and Implementation of Firmware Data Acquisition System Based on Scrapy Framework

Design and Implementation of Firmware Data Acquisition Syste...

引用

IEEE International Conference on Power, Intelligent Computing and Systems (ICPICS)

作者： Xiaowei Han Likun Zheng Heilongjiang Provincial Key Laboratory of Electronic Commerce and Information Processing Harbin University of Commerce Harbin China School of Computer and Information Engineering Harbin University of Commerce Harbin China

ISBN: (数字)9781728198743

ISBN: (纸本)9781728198750

In recent years, the scale of Internet data grows exponentially with the development of Internet technology. Such huge amount of Internet data is valuable. Web crawler is one of the most popular technology, which is often used to obtain these data. Scrapy is a popular framework of web crawler which is widely used in various Internet information collection systems. This paper optimizes the framework of Scrapy, designs a firmware data acquisition system based on the framework of Scrapy based on the technologies of distributed, anti-crawler, ELK and automatic construction, and crawls the firmware information of various manufacturers on the Internet. The experimental results show that after employing the distributed and prevent anti-crawler technology, the number of target acquisition increases by 10%, and the time is shortened by 70%. The large-scale logs analysis using ELK solves the problem that the log number is too large for analysis, and the crawler can be automatically constructed and crawls through the code automatic construction technology. This method is efficient for the optimization of firmware crawler.

关键词： Crawlers Microprogramming Engines Internet computer architecture Containers Data acquisition

来源：评论

学校读者我要写书评

暂无评论

Multivariate Time Series Learning for GNSS NLOS Intelligent Detection

引用

IEEE Sensors Journal 2025年

作者： Li, Zhenni Chen, Jiajun Zeng, Kungan Yuan, Rong Xie, Shengli Niyato, Dusit Guangdong University of Technology School of Automation Guangzhou510006 China Guangzhou510006 China Tsinghua University Department of Electronic Engineering Beijing100084 China Ministry of Education Key Laboratory of Intelligent Information Processing and System Integration of IoT GDUT Guangzhou510006 China Guangdong Provincial Key Laboratory of Intelligent Systems and Optimization Integration Guangzhou510006 China Nanyang Technological University School of Computer Science and Engineering Singapore

The reception of non-line-of-sight (NLOS) signals significantly degrades the positioning precision of the global navigation satellite system (GNSS) in urban canyons. Recently, deep learning-based methods have shown significant potential in NLOS detection. However, existing methods suffer significant performance degradation across different scenarios, primarily due to an insufficient understanding of multivariate dependencies within GNSS measurement sequences. To address the above challenge, we propose a multivariate time series learning-based NLOS intelligent detection method, which improves detection accuracy by treating nonlinear temporal changes in GNSS measurement sequences as a multivariate dependency issue. Firstly, a transformer-based multivariate time series learning (TMTSL) module is designed to capture multivariate dependency features from GNSS measurement sequences effectively. It utilizes a decoupling-to-aggregation mechanism to extract univariate temporal information and aggregate multivariate temporal information, enhancing the representation of multivariate dependency features. Moreover, a graph transformer-based environment information extraction (GTEIE) module is developed to capture diverse environmental information. Specifically, a sky satellite graph is constructed to represent the spatial geometric distribution of satellites at a given epoch. The graph transformer is then used to extract environmental representations from this graph. Consequently, a multivariate time series learning-based NLOS detection method is proposed using a cross-attention-based fusion network to combine the environment information and multivariate dependency features for accurate NLOS detection. Experimental results demonstrate that the proposed method outperforms existing approaches, achieving a detection accuracy of over 96% while also exhibiting enhanced generalization performance. © 2001-2012 IEEE.

关键词： Global positioning system

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：