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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 . |
| 导入链接 | NoteExpress RIS BibTex |
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 ：
As an important method to diagnose gastric cancer, gastric pathological sections images (GPSI) are hard and time-consuming to be recognized even by an experienced doctor. An efficient method was designed to detect gastric cancer in magnified (20x) GPSI using deep learning technology. A novel DenseNet architecture was applied, modified with a multistage attention module (MSA-DenseNet). To develop this model focusing on gastric features, a two-stage-input attention module was adopted to select more semantic information of cancer. Moreover, the pretraining process was divided into two steps to improve the effect of the attention mechanism. After training, our method achieved a state-of-the-art performance yielding 0.9947 F1 score and 0.9976 ROC AUC on a test dataset. In line with our expectation in clinical practice, a high recall (0.9929) was produced with high sensitivity to the positive samples. These results indicate that this new model performs better than current artificial detection approaches and its effectiveness is therefore validated in cancer pathological diagnoses.
关键词 ：
assisted diagnosis assisted diagnosis computer‐ computer‐ deep learning deep learning gastric cancer gastric cancer gastric pathological sections gastric pathological sections
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| GB/T 7714 | Liu, Bo , Zhao, Yelong , Yang, Bin et al. A gastric cancer recognition algorithm on gastric pathological sections based on multistage attention-DenseNet [J]. | CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE , 2021 , 33 (10) . |
| MLA | Liu, Bo et al. "A gastric cancer recognition algorithm on gastric pathological sections based on multistage attention-DenseNet" . | CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE 33 . 10 (2021) . |
| APA | Liu, Bo , Zhao, Yelong , Yang, Bin , Zhao, Shuangtao , Gu, Rentao , Gahegan, Mark . A gastric cancer recognition algorithm on gastric pathological sections based on multistage attention-DenseNet . | CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE , 2021 , 33 (10) . |
| 导入链接 | NoteExpress RIS BibTex |
摘要 ：
In this experiment, three replicated SBR reactors were operated using asynchronous acclimation of the phased method (A/O-A/O/A), simultaneous domestication of continuous aeration by A/O/A, and simultaneous domestication of intermittent aeration by A/O/A. Using artificial water distribution as the influent substrate, flocculent sludge was inoculated and granulated by hydraulic selection. The domestication and nitrogen and phosphorus removal characteristics of shortcut nitrification denitrifying phosphorus removal granules under different operation modes were assessed. The results show that simultaneous domestication of intermittent aeration by A/O/A has the most efficient under the combination of short aeration time (140 min) and low aeration strength[3.5 L·(h·L)-1]. The average removal rates of carbon, nitrogen, and phosphorus were 90.74%, 91.15%, and 95.66%, respectively, which could achieve synchronous removal during later stable operation. The particle size was 895 μm, and the particles were small but uniformly dense in microscope observations. The f value (MLVSS/MLSS) was kept stable at 0.8-0.85 and sludge had a high biomass due to the alternate aerobic/anoxic operation with intermittent aeration. This supported anoxic heterotrophic bacteria at the core of the particles, which was conducive to the stability of the granular sludge structure. Batch experiments showed that the specific ammonia-oxidation rate of the simultaneous domestication of intermittent aeration by A/O/A system was 3.38 mg·(g·h)-1, and denitrifying phosphate accumulating organisms (DPAOs) able to utilize nitrite as electron acceptor accounted for 65.46%. This was more conducive to the simultaneous domestication and enrichment of ammonia-oxidizing bacteria (AOB) and NO2--type DPAOs, ensuring a stable treatment effect.
关键词 ：
aeration intensity aeration intensity aeration time aeration time granules sludge granules sludge intermittent aeration intermittent aeration short-cut nitrification denitrifying phosphorus removal short-cut nitrification denitrifying phosphorus removal simultaneous domestication simultaneous domestication
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| GB/T 7714 | Wang Wen-Qi , Li Dong , Gao Xin et al. [Simultaneous Domestication of Short-cut Nitrification Denitrifying Phosphorus Removal Granules]. [J]. | Huanjing kexue , 2021 , 42 (6) : 2946-2956 . |
| MLA | Wang Wen-Qi et al. "[Simultaneous Domestication of Short-cut Nitrification Denitrifying Phosphorus Removal Granules]." . | Huanjing kexue 42 . 6 (2021) : 2946-2956 . |
| APA | Wang Wen-Qi , Li Dong , Gao Xin , Liu Bo , Zhang Jie . [Simultaneous Domestication of Short-cut Nitrification Denitrifying Phosphorus Removal Granules]. . | Huanjing kexue , 2021 , 42 (6) , 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 ：
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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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) . |
| 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 . |
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