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学者姓名：刘博
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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 ：
With rapid industrial development, air pollution problems, especially in urban and metropolitan centers, have become a serious societal problem and require our immediate attention and comprehensive solutions to protect human and animal health and the environment. Because bad air quality brings prominent effects on our daily life, how to forecast future air quality accurately and tenuously has emerged as a priority for guaranteeing the quality of human life in many urban areas worldwide. Existing models usually neglect the influence of wind and do not consider both distance and similarity to select the most related stations, which can provide significant information in prediction. Therefore, we propose a Geographic Self-Organizing Map (GeoSOM) spatiotemporal gated recurrent unit (GRU) model, which clusters all the monitor stations into several clusters by geographical coordinates and time-series features. For each cluster, we build a GRU model and weighted different models with the Gaussian vector weights to predict the target sequence. The experimental results on real air quality data in Beijing validate the superiority of the proposed method over a number of state-of-the-art ones in metrics, such as R-2, mean relative error (MRE), and mean absolute error (MAE). The MAE, MRE, and R-2 are 16.1, 0.79, and 035 at the Gucheng station and 19.53, 0.82, and 036 at the Dongsi station.
关键词 ：
Air quality Air quality environment pollution environment pollution prediction prediction recurrent neural network (RNN) recurrent neural network (RNN) spatiotemporal sequences spatiotemporal sequences
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| GB/T 7714 | Liu, Bo , Yan, Shuo , Li, Jianqiang et al. A Spatiotemporal Recurrent Neural Network for Prediction of Atmospheric PM2.5: A Case Study of Beijing [J]. | IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS , 2021 , 8 (3) : 578-588 . |
| MLA | Liu, Bo et al. "A Spatiotemporal Recurrent Neural Network for Prediction of Atmospheric PM2.5: A Case Study of Beijing" . | IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS 8 . 3 (2021) : 578-588 . |
| APA | Liu, Bo , Yan, Shuo , Li, Jianqiang , Li, Yong , Lang, Jianlei , Qu, Guangzhi . A Spatiotemporal Recurrent Neural Network for Prediction of Atmospheric PM2.5: A Case Study of Beijing . | IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS , 2021 , 8 (3) , 578-588 . |
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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 . |
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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 . |
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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) . |
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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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摘要 ：
In this paper, we studied infrared (IR) maritime salient object detection based on convolutional neural networks (CNNs). There are mainly two contributions. Firstly, we constructed a large extended IR ship image dataset (ExtIRShip) for salient maritime target detection, including 9,123 labelled IR images. Secondly, we proposed a global guided lightweight non-local depth feature (DG-Light-NLDF) model. We introduced Dilated Linear Bottleneck (DLB) to replace the standard convolution and adding a simplified global module to provide the location information of the potential salient object, the proposed method can significantly improve the efficiency of Light-NLDF. Experimental results demonstrate that the proposed DG-Light-NLDF model could detect IR maritime salient objects more accurately with less parameters. In addition, comparison experiments between two datasets validated that the larger dataset is also much more beneficial in improving saliency detection performance. © 2021 Elsevier B.V.
关键词 ：
Convolution Convolution Feature extraction Feature extraction Infrared imaging Infrared imaging Large dataset Large dataset Neural networks Neural networks Object detection Object detection Object recognition Object recognition Ships Ships
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| GB/T 7714 | Liu, Zhaoying , Zhang, Xuesi , Jiang, Tianpeng et al. Infrared salient object detection based on global guided lightweight non-local deep features [J]. | Infrared Physics and Technology , 2021 , 115 . |
| MLA | Liu, Zhaoying et al. "Infrared salient object detection based on global guided lightweight non-local deep features" . | Infrared Physics and Technology 115 (2021) . |
| APA | Liu, Zhaoying , Zhang, Xuesi , Jiang, Tianpeng , Zhang, Ting , Liu, Bo , Waqas, Muhammad et al. Infrared salient object detection based on global guided lightweight non-local deep features . | Infrared Physics and Technology , 2021 , 115 . |
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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 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 . |
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