检索结果-内蒙古大学图书馆

An Analysis Model of Potential Topics in English Essays Based on Semantic Space

Journal of Computers (Taiwan) 2022年第1期33卷 151-164页

作者： Huang, Guimin Zhang, Xiaowei Guangxi Key Laboratory of Image and Graphic Intelligent Processing School of Computer Science and Information Security Guilin University of Electronic Technology Guilin541004 China

With the reform of English examination in China in recent years, the automatic evaluation of English essays as subjective questions has always been the focus and difficulty of research. The existing automatic essay evaluation system (AEE) has obtained good feedback on the vocabulary, syntactic and other features of English essays, but there is still a problem of low accuracy in the analysis of potential topic in English essay. In order to solve this problem, this paper takes relational triples as the carrier to analyze the potential topics of English essays. By constructing the hierarchical topic trees hybrid semantic spaces to carry out topic clustering, distributed representation of topic relational triples and topic set extension in English essays. Then, based on the improved on-topic analysis algorithm in this paper, the paper analyzes the topic of English essay in multiple dimensions to obtain more abundant potential on-topic semantic information. The experiment results show that the proposed model can reduce the noise caused by non-topic words effectively, and improve the fine-grained topic semantic space in English essays, and the proposed model has better performance than the current methods of on-topic analysis in English esssays. © 2022 Computer Society of the Republic of China. All rights reserved.

关键词： Semantics

来源：评论

学校读者我要写书评

暂无评论

Visualised Software Quality Based on The Change and Complexity of Code

Visualised Software Quality Based on The Change and Complexi...

引用

第二届亚太计算机科学与应用学术会议

作者： Yuqing Tian Pingfang Tian College of Computer Science and Technology Wuhan University of Science and Technology Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System

Research on software quality has a very important strategic and practical significance to improve software quality, and promote the healthy and orderly development of software industry. This paper study and realize th... 详细信息

关键词： Visualised Software Quality Based on The Change and Complexity of Code

来源：评论

学校读者我要写书评

暂无评论

Strict Log-Subadditivity for Overpartition Rank

arXiv

引用

arXiv 2022年

作者： Zhang, Helen W.J. Zhong, Ying School of Mathematics Hunan University Changsha410082 China Hunan Provincial Key Laboratory of Intelligent Information Processing and Applied Mathematics Changsha410082 China

Bessenrodt and Ono initially found the strict log-subadditivity of partition function p(n), that is, p(a + b) 1 and a + b > 9. Many other important statistics of partitions are proved to enjoy similar properties. Lovejoy introduced the overpartition rank as an analog of Dyson's rank for partitions from the q-series perspective. Let N¯(a, c, n) denote the number of overpartitions with rank congruent to a modulo c. Ciolan computed the asymptotic formula of N¯(a, c, n) and showed that N¯(a, c, n) > N¯(b, c, n) for c ≥ 7 and n large enough. In this paper, we derive an upper bound and a lower bound of N¯(a, c, n) for each c ≥ 3 by using the asymptotics of Ciolan. Consequently, we establish the strict log-subadditivity of N¯(a, c, n) analogous to the partition function p(n).MSC Codes 05A20, 11P82, 11P83 © 2022, CC BY.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Towards a precipitation bias corrector against noise and maldistribution

arXiv

引用

arXiv 2019年

作者： Xu, Xiaoyang Liu, Yiqun Chao, Hanqing Luo, Youcheng Chu, Hai Chen, Lei Zhang, Junping Ma, Leiming Shanghai Key Laboratory of Intelligent Information Processing School of Computer Science Fudan University Shanghai200433 China Shanghai Central Meteorological Observatory China

With broad applications in various public services like aviation management and urban disaster warning, numerical precipitation prediction plays a crucial role in weather forecast. However, constrained by the limitation of observation and conventional meteorological models, the numerical precipitation predictions are often highly biased. To correct this bias, classical correction methods heavily depend on profound experts who have knowledge in aerodynamics, thermodynamics and meteorology. As precipitation can be influenced by countless factors, however, the performances of these expert-driven methods can drop drastically when some un-modeled factors change. To address this issue, this paper presents a data-driven deep learning model which mainly includes two blocks, i.e. a Denoising Autoencoder Block and an Ordinal Regression Block. To the best of our knowledge, it is the first expert-free models for bias correction. The proposed model can effectively correct the numerical precipitation prediction based on 37 basic meteorological data from European Centre for Medium-Range Weather Forecasts (ECMWF). Experiments indicate that compared with several classical machine learning algorithms and deep learning models, our method achieves the best correcting performance and meteorological index, namely the threat scores (TS), obtaining satisfactory visualization effect. Copyright © 2019, The Authors. All rights reserved.

关键词： Weather forecasting

来源：评论

学校读者我要写书评

暂无评论

The Improved Particle Swarm Optimization for Feature Selection of Support Vector Machine 2017

The Improved Particle Swarm Optimization for Feature Selecti...

引用

Proceedings of the 2017 2nd International Conference on Communication and information Systems

作者： Sipeng Wang Sheng Ding College of Computer Science and Technology Wuhan University of Science and Technology and Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System

ISBN: (纸本)9781450353489

Support vector machine (SVM) is good at classifying high dimensional data. Parameter setting in the SVM training procedure, along with the feature selection, significantly influences the classification accuracy. An improved algorithm based on particle swarm optimization (PSO) for feature selection and parameters optimization of SVM (GPSO-SVM) is proposed to improve the classification accuracy and select the number of features as little as possible. This method introduces crossover and mutation operator from genetic algorithm (GA), which allows the particle to carry out crossover and mutation operations after iteration and update to avoid the problem of falling into local optimum and premature maturation in

关键词： particle swarm optimization genetic algorithm support vector machine parameter optimization feature selection

来源：评论

学校读者我要写书评

暂无评论

Investigation of Singing Voice Separation for Singing Voice Detection in Polyphonic Music 9th

Investigation of Singing Voice Separation for Singing Voic...

引用

9th Conference on Sound and Music Technology, CSMT 2021

作者： Sun, Yifu Zhang, Xulong Chen, Xi Yu, Yi Li, Wei School of Computer Science and Technology Fudan University Shanghai200438 China Co. Ltd. Shenzhen518000 China Digital Content and Media Sciences Research Division National Institute of Informatics Tokyo Chiyoda163-8001 Japan Shanghai Key Laboratory of Intelligent Information Processing Fudan University Shanghai200433 China

ISBN: (纸本)9789811947025

Singing voice detection (SVD), to recognize vocal parts in the song, is an essential task in music information retrieval (MIR). The task remains challenging since singing voice varies and intertwines with the accompaniment music, especially for some complicated polyphonic music such as choral music recordings. To address this problem, we investigate singing voice detection while discarding the interference from the accompaniment. The proposed SVD has two steps: i. The singing voice separation (SVS) technique is first utilized to filter out the singing voice’s potential part coarsely. ii. Upon the continuity of vocal in the time domain, Long-term Recurrent Convolutional Networks (LRCN) is used to learn compositional features. Moreover, to eliminate the outliers, we choose to use a median filter for time-domain smoothing. Experimental results show that the proposed method outperforms the existing state-of-the-art works on two public datasets, the Jamendo Corpus and the RWC pop dataset. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Music

来源：评论

学校读者我要写书评

暂无评论

A New Roadmap Constitution Method Based on Dividing Grid and Level-Set

A New Roadmap Constitution Method Based on Dividing Grid and...

引用

International Symposium on Intelligence information processing and Trusted Computing (IPTC)

作者： Shidong Li Mingyue Ding Chao Cai Institute for Information Engineering Hubei University Hubei China College of Life Science and Technology Image Processing and Intelligent Control Key Laboratory of HUST Wuhan China National Laboratory for Multi-spectral Information Processing Technologies Wuhan China

Roadmap methods were widely used in route planning fields, both for robots and unmanned aircrafts. Traditional roadmap is constituted by connecting the vertexes of convex obstacle, which is related to the locations of start and goal of route, so the roadmap can not be reused when anyone of start and goal changed. Absence of reusability reduces the efficiency of route planning by using roadmap. A new roadmap constitution method was proposed in this paper, which is build on dividing the 2D configuration space into multi-scale grids and setting nodes of roadmap on grid boundary using Level-Set method, same method was used to construct the map cells of roadmap between any two nodes lays on same grid. The roadmap constituted with new method can be reused when the start or goal was changed; it is efficient for replanning problem.

关键词： Planning Level set Constitution Path planning Equations Robots information processing

来源：评论

学校读者我要写书评

暂无评论

Context-Aware Residual Module for Image Classification

Context-Aware Residual Module for Image Classification

引用

International Conference on pattern recognition

作者： Jing Bai Ran Chen Ningxia Province Key Laboratory of Intelligent Information and Data Processing Yinchuan China School of Computer Science and Engineering North Minzu University Yinchuan China

ISBN: (纸本)9781728188089;9781728188096

Attention module has achieved great success in numerous vision tasks. However, existing visual attention modules generally consider the features of a single-scale, and cannot make full use of their multi-scale contextual information. Meanwhile, the multi-scale spatial feature representation has demonstrated its outstanding performance in a wide range of applications. However, the multi-scale features are always represented in a layer-wise manner, i.e. it is impossible to know their contextual information at a granular level. Focusing on the above issue, a context-aware residual module for image classification is proposed in this paper. It consists of a novel multi-scale channel attention module MSCAM to learn refined channel weights by considering the visual features of its own scale and its surrounding fields, and a multi-scale spatial aware module MSSAM to further capture more spatial information. Either or both of the two modules can be plugged into any CNN-based backbone image classification architecture with a short residual connection to obtain the context-aware enhanced features. The experiments on public image recognition datasets including CIFAR10, CIFAR100, Tiny-ImageNet and ImageNet consistently demonstrate that our proposed modules significantly outperforms a wide-used state-of-the-art methods, e.g., ResNet and the lightweight networks of MobileNet and SqueezeeNet.

关键词： Visualization Image recognition Semantics Focusing Data mining Task analysis Image classification

来源：评论

学校读者我要写书评

暂无评论

Visualised Software Quality Based on The Change and Complexity of Code

Visualised Software Quality Based on The Change and Complexi...

引用

2017 Asia-Pacific Computer Science and Application Conference

Research on software quality has a very important strategic and practical significance to improve software quality,and promote the healthy and orderly development of software *** paper study and realize the visualizat... 详细信息

Research on software quality has a very important strategic and practical significance to improve software quality,and promote the healthy and orderly development of software *** paper study and realize the visualization of software quality,combined the change and complexity of program,based on existing research.

关键词： Visualised Software Quality Based on The Change and Complexity of Code

来源：评论

学校读者我要写书评

暂无评论

A Novel Dynamic Group Signature with Membership Privacy

A Novel Dynamic Group Signature with Membership Privacy

引用

IEEE Conference on Dependable and Secure Computing

作者： Junqing Lu Rongxin Qi Jian Shen School of Computer and Software Nanjing University of Information Science & Technology Nanjing China Fujian Provincial Key Laboratory of Networking Computing and Intelligent Information Processing Fuzhou University Fuzhou China

ISBN: (数字)9781728175348

ISBN: (纸本)9781728175355

Group signature is a cryptography primitive that has been widely researched. It strikes a balance between digital signature and the user's demand for anonymity. A valid member in the group can generate a signature on behalf of the whole group. The public can only know that it was provided by a valid group member and learn nothing about the actual identity of the signer when verifying a group signature. Backes et al pointed out that the existing dynamic group signature schemes implicitly assume that the membership of everyone in the group is open to the public. Thus, they put forward a property called membership privacy for dynamic group signature. In this paper, we design a dynamic group signature scheme with membership privacy on top of Signature Proofs of Knowledge (SPK) and BBS+ signature. Further more, dynamic accumulator mechanism is adopted to revoke a group member's authority to sign. Then, a security analysis demonstrates that the proposed group signature scheme satisfies join-leave privacy. Finally, quantitative analysis and experimental results show that the proposed group signature scheme achieves the fewer signature size and less computation overhead compared with Backes's scheme.

关键词： Privacy Statistical analysis Conferences Cryptography Digital signatures

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：