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摘要 ：
大气污染领域本体的半自动构建及语义推理
关键词 ：
语义推理 语义推理 注意力机制 注意力机制 大气污染 大气污染 自然语言处理 自然语言处理 实体关系抽取 实体关系抽取 本体 本体
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| GB/T 7714 | 刘博 , 张佳慧 , 李建强 et al. 大气污染领域本体的半自动构建及语义推理 [J]. | 刘博 , 2021 , 47 (3) : 246-259 . |
| MLA | 刘博 et al. "大气污染领域本体的半自动构建及语义推理" . | 刘博 47 . 3 (2021) : 246-259 . |
| APA | 刘博 , 张佳慧 , 李建强 , 李永 , 郎建垒 , 北京工业大学学报 . 大气污染领域本体的半自动构建及语义推理 . | 刘博 , 2021 , 47 (3) , 246-259 . |
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摘要 ：
一种生成式问答的评价方法涉及自然语言处理领域。本发明针对生成式问答的答案在语言质量和语义准确度上存在的各种问题，分别构建数据集的正负样本。通过在数据集构建上进行处理，就能使问答评价网络在训练后能够结合语言质量和语义准确性两方面对生成的答案进行打分。相比传统的评价方法对答案的评价更全面、准确。
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| GB/T 7714 | 刘博 , 王星文 , 徐宽 et al. 一种生成式问答的评价方法 : CN202110184397.4[P]. | 2021-02-10 . |
| MLA | 刘博 et al. "一种生成式问答的评价方法" : CN202110184397.4. | 2021-02-10 . |
| APA | 刘博 , 王星文 , 徐宽 , 胡志超 . 一种生成式问答的评价方法 : CN202110184397.4. | 2021-02-10 . |
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摘要 ：
本实验对3组同规格SBR反应器分别采用分阶段法(A/O-A/O/A)异步驯化、连续曝气A/OA同步驯化和间歇曝气A/O/A同步驯化的方式运行.以人工配水为进水基质,接种絮状污泥,通过水力选择压颗粒化,探讨了不同运行方式下短程硝化反硝化颗粒污泥的驯化及脱氮除磷特性.结果表明,在较短曝气时长(140 min)联合较低曝气强度[3.5 L·(h·L)~(-1)]下,间歇曝气A/O/A同步驯化最具优势,后期稳定运行期间碳、氮、磷的平均去除率分别为90.74%、91.15%和95.66%,可实现同步去除.粒径为895μm,颗粒虽小但均匀致密,f值(MLVSS/MLSS)平稳保持在0.8～0.85,有较高...
关键词 ：
同步驯化 同步驯化 曝气强度 曝气强度 曝气时长 曝气时长 短程硝化反硝化除磷 短程硝化反硝化除磷 间歇曝气 间歇曝气 颗粒污泥 颗粒污泥
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| GB/T 7714 | 王文琪 , 李冬 , 高鑫 et al. 短程硝化反硝化除磷颗粒污泥的同步驯化 [J]. | 环境科学 , 2021 , 42 (06) : 2946-2956 . |
| MLA | 王文琪 et al. "短程硝化反硝化除磷颗粒污泥的同步驯化" . | 环境科学 42 . 06 (2021) : 2946-2956 . |
| APA | 王文琪 , 李冬 , 高鑫 , 刘博 , 张杰 . 短程硝化反硝化除磷颗粒污泥的同步驯化 . | 环境科学 , 2021 , 42 (06) , 2946-2956 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
对深度学习模型应用于时空序列预测的最新进展进行总结.首先介绍时空序列数据的属性及类型,并进行相应的实例化与表示.接着针对时空序列数据存在的3个问题分别提出相应的数据预处理方法,对基于传统参数模型、传统机器学习模型以及深度学习模型的时空序列预测方法逐一阐述并对比分析,为研究者选择模型提供指导,之后总结深度学习模型在不同领域内对时空序列预测的应用.最后指出当前研究的不足以及时空序列预测进一步的研究方向.
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| GB/T 7714 | 刘博 , 王明烁 , 李永 et al. 深度学习在时空序列预测中的应用综述 [J]. | 北京工业大学学报 , 2021 , 47 (8) : 925-941 . |
| MLA | 刘博 et al. "深度学习在时空序列预测中的应用综述" . | 北京工业大学学报 47 . 8 (2021) : 925-941 . |
| APA | 刘博 , 王明烁 , 李永 , 陈洪丽 , 李建强 . 深度学习在时空序列预测中的应用综述 . | 北京工业大学学报 , 2021 , 47 (8) , 925-941 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
In this paper, we consider the optimal approximations of univariate functions with feed-forward ReLU neural networks. We attempt to answer the following questions. For given function and network, what is the minimal possible approximation error? How fast does the optimal approximation error decrease with network size? Is optimal approximation attainable by current network training techniques? Theoretically, we introduce necessary and sufficient conditions for optimal approximations of convex functions. We give lower and upper bounds of optimal approximation errors, and approximation rate that measures how fast approximation error decreases with network size. ReLU network architectures are presented to generate optimal approximations. We then propose an algorithm to compute optimal approximations and prove its convergence. We conduct experiments to validate its effectiveness and compare with other approaches. We also demonstrate that the theoretical limit of approximation errors is not attained by ReLU networks trained with stochastic gradient descent optimization, which indicates that the expressive power of ReLU networks has not been exploited to its full potential. (c) 2021 Elsevier B.V. All rights reserved.
关键词 ：
Deep learning theory Deep learning theory Expressive power Expressive power Optimal approximation Optimal approximation ReLU networks ReLU networks
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| GB/T 7714 | Liu, Bo , Liang, Yi . Optimal function approximation with ReLU neural networks [J]. | NEUROCOMPUTING , 2021 , 435 : 216-227 . |
| MLA | Liu, Bo et al. "Optimal function approximation with ReLU neural networks" . | NEUROCOMPUTING 435 (2021) : 216-227 . |
| APA | Liu, Bo , Liang, Yi . Optimal function approximation with ReLU neural networks . | NEUROCOMPUTING , 2021 , 435 , 216-227 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
The implementation of two-dimensional materials into memristor architectures has recently been a new research focus by taking advantage of their atomic thickness, unique lattice, and physical and electronic properties. Among the van der Waals family, Bi2O2Se is an emerging ternary two-dimensional layered material with ambient stability, suitable band structure, and high conductivity that exhibits high potential for use in electronic applications. In this work, we propose and experimentally demonstrate a Bi2O2Se-based memristor-aided logic. By carefully tuning the electric field polarity of Bi2O2Se through a Pd contact, a reconfigurable NAND gate with zero static power consumption is realized. To provide more knowledge on NAND operation, a kinetic Monte Carlo simulation is carried out. Because the NAND gate is a universal logic gate, cascading additional NAND gates can exhibit versatile logic functions. Therefore, the proposed Bi2O2Se-based MAGIC can be a promising building block for developing next-generation in-memory logic computers with multiple functions.
关键词 ：
Bi2O2Se Bi2O2Se CAFM CAFM kinetic Monte Carlo kinetic Monte Carlo MAGIC MAGIC RRAM RRAM
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| GB/T 7714 | Liu Bo , Zhao Yudi , Verma Dharmendra et al. Bi2O2Se-Based Memristor-Aided Logic. [J]. | ACS applied materials & interfaces , 2021 , 13 (13) : 15391-15398 . |
| MLA | Liu Bo et al. "Bi2O2Se-Based Memristor-Aided Logic." . | ACS applied materials & interfaces 13 . 13 (2021) : 15391-15398 . |
| APA | Liu Bo , Zhao Yudi , Verma Dharmendra , Wang Le An , Liang Hanyuan , Zhu Hui et al. Bi2O2Se-Based Memristor-Aided Logic. . | ACS applied materials & interfaces , 2021 , 13 (13) , 15391-15398 . |
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摘要 ：
In this paper, it is proved that for one-hidden-layer ReLU networks all differentiable local minima are global inside each differentiable region. Necessary and sufficient conditions for the existences of differentiable local minima, saddle points and non-differentiable local minima are given, as well as their locations if they do exist. Building upon the theory, a linear programming based algorithm is designed to judge the existence of differentiable local minima, and is used to predict whether spurious local minima exist for the MNIST and CIFAR-10 datasets. Experimental results show that there are no spurious local minima for most typical weight vectors. These theoretical predictions are verified by demonstrating the consistency between them and the results of gradient descent search. ? 2021 Elsevier B.V. All rights reserved. Superscript/Subscript Available</comment
关键词 ：
Deep learning theory Deep learning theory Local minima Local minima Loss landscape Loss landscape ReLU networks ReLU networks Saddle points Saddle points
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| GB/T 7714 | Liu, Bo . Understanding the loss landscape of one-hidden-layer ReLU networks [J]. | KNOWLEDGE-BASED SYSTEMS , 2021 , 220 . |
| MLA | Liu, Bo . "Understanding the loss landscape of one-hidden-layer ReLU networks" . | KNOWLEDGE-BASED SYSTEMS 220 (2021) . |
| APA | Liu, Bo . Understanding the loss landscape of one-hidden-layer ReLU networks . | KNOWLEDGE-BASED SYSTEMS , 2021 , 220 . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
The realization of stable partial nitrification and advanced nitrogen removal are not acquired effectively in conventional pre-denitrification biological nitrogen removal processes treating domestic sewage. Herein, a novel anaerobic/aerobic/anoxic/aerobic (AOAO) continuous plug-flow reactor, characterized with double sludge reflux and a bypass of anaerobic mixed liquor conveyed to anoxic zone, was first constructed to realize stable partial nitrification in treating domestic sewage. The alternating anoxic/aerobic conditions and longer anoxic sludge retention time might be responsible for the partial nitrification. Nitrite accumulation ratio reached 89.3 +/- 3.3% with the maximum activity ratio of AOB to NOB increasing from 0.72 to 8.17. A content total inorganic nitrogen (TIN) removal efficiency (93.7 +/- 2.2%) and effluent TIN concentration (2.9 +/- 0.9 mg N/L) were obtained after 238 days' operation. Specifically, nitrogen balance of the typical cycle showed that about 30.1% of TIN was removed through simultaneous partial nitrification and denitrification (SND) in aerobic zone and 48.2% by endogenous denitrification in anoxic zone. The AOAO process is an economic treatment for domestic sewage with aerobic hydraulic retention time (HRT) of 4 h. (C) 2021 Elsevier B.V. All rights reserved.
关键词 ：
Advanced nitrogen removal Advanced nitrogen removal Endogenous denitrification Endogenous denitrification Low COD/TIN sewage Low COD/TIN sewage Partial nitrification Partial nitrification
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| GB/T 7714 | Feng, Yan , Peng, Yongzhen , Wang, Bo et al. A continuous plug-flow anaerobic/aerobic/anoxic/aerobic (AOAO) process treating low COD/TIN domestic sewage: Realization of partial nitrification and extremely advanced nitrogen removal [J]. | SCIENCE OF THE TOTAL ENVIRONMENT , 2021 , 771 . |
| MLA | Feng, Yan et al. "A continuous plug-flow anaerobic/aerobic/anoxic/aerobic (AOAO) process treating low COD/TIN domestic sewage: Realization of partial nitrification and extremely advanced nitrogen removal" . | SCIENCE OF THE TOTAL ENVIRONMENT 771 (2021) . |
| APA | Feng, Yan , Peng, Yongzhen , Wang, Bo , Liu, Bo , Li, Xiyao . A continuous plug-flow anaerobic/aerobic/anoxic/aerobic (AOAO) process treating low COD/TIN domestic sewage: Realization of partial nitrification and extremely advanced nitrogen removal . | SCIENCE OF THE TOTAL ENVIRONMENT , 2021 , 771 . |
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摘要 ：
Atmospheric visibility is an indicator of atmospheric transparency and its range directly reflects the quality of the atmospheric environment. With the acceleration of industrialization and urbanization, the natural environment has suffered some damages. In recent decades, the level of atmospheric visibility shows an overall downward trend. A decrease in atmospheric visibility will lead to a higher frequency of haze, which will seriously affect people's normal life, and also have a significant negative economic impact. The causal relationship mining of atmospheric visibility can reveal the potential relation between visibility and other influencing factors, which is very important in environmental management, air pollution control and haze control. However, causality mining based on statistical methods and traditional machine learning techniques usually achieve qualitative results that are hard to measure the degree of causality accurately. This article proposed the seq2seq-LSTM Granger causality analysis method for mining the causality relationship between atmospheric visibility and its influencing factors. In the experimental part, by comparing with methods such as linear regression, random forest, gradient boosting decision tree, light gradient boosting machine, and extreme gradient boosting, it turns out that the visibility prediction accuracy based on the seq2seq-LSTM model is about 10% higher than traditional machine learning methods. Therefore, the causal relationship mining based on this method can deeply reveal the implicit relationship between them and provide theoretical support for air pollution control.
关键词 ：
Atmospheric visibility Atmospheric visibility deep learning deep learning granger causality granger causality multidimensional time series multidimensional time series
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| GB/T 7714 | Liu, Bo , He, Xi , Song, Mingdong et al. A Method for Mining Granger Causality Relationship on Atmospheric Visibility [J]. | ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA , 2021 , 15 (5) . |
| MLA | Liu, Bo et al. "A Method for Mining Granger Causality Relationship on Atmospheric Visibility" . | ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA 15 . 5 (2021) . |
| APA | Liu, Bo , He, Xi , Song, Mingdong , Li, Jiangqiang , Qu, Guangzhi , Lang, Jianlei et al. A Method for Mining Granger Causality Relationship on Atmospheric Visibility . | ACM TRANSACTIONS ON KNOWLEDGE DISCOVERY FROM DATA , 2021 , 15 (5) . |
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摘要 ：
To overcome the performance bottlenecks (e.g. power consumption and bandwidth) of electrical packet switching based data center networks, Optical Circuit Switching(OCS) technology has been widely studied recently, aiming at constructing the next-generation data center and carrying the ever-increasing network traffic. To achieve this goal, how to effectively handle the emerging application-level communication in nowadays data centers, i.e. how to adapt OCS to various of traffic flows, has turned to one of the crucial topics in this area. In this paper, we summarize the state-of-the-art works that focus on the flow schedule problems in OCS based data center networks and further introduce the future directions. The scope of this paper includes the schedule problems on unicast-flows, multicast-flows, and co-flows, which are denoted as *-flows in this paper, and are the major traffic patterns in the modern data center networks. The purpose of this paper is to present a broad research guideline for the *-flow scheduling of OCS, and motivate researchers to develop more innovative proposals and algorithms.
关键词 ：
Data center network Data center network Flow schedule Flow schedule Optical circuit switching Optical circuit switching Optical network Optical network
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| GB/T 7714 | Tang, Yinan , Yuan, Tongtong , Liu, Bo et al. Effective *-flow schedule for optical circuit switching based data center networks: A comprehensive survey [J]. | COMPUTER NETWORKS , 2021 , 197 . |
| MLA | Tang, Yinan et al. "Effective *-flow schedule for optical circuit switching based data center networks: A comprehensive survey" . | COMPUTER NETWORKS 197 (2021) . |
| APA | Tang, Yinan , Yuan, Tongtong , Liu, Bo , Xiao, Chuangbai . Effective *-flow schedule for optical circuit switching based data center networks: A comprehensive survey . | COMPUTER NETWORKS , 2021 , 197 . |
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