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A^(2)/O-BCO前置反硝化除磷中试的启动与优化运行

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环境科学学报 2024年第3期44卷 13-22页

作者：周庆国苏健陈东旭彭永臻西南交通大学土木工程学院成都610031 中铁建发展集团有限公司水处理技术研究中心北京100043 北京工业大学城镇污水深度处理与资源化利用国家工程实验室北京市水质科学与水环境恢复工程重点实验室北京100124

为探究低C/N城镇污水处理在无外加碳源的情况下实现深度脱氮除磷的效能,试验以实际城镇生活污水为处理对象,搭建了日处理规模为100 m^(3)·d^(-1)的A^(2)/O-BCO前置反硝化除磷中试,并从中试快速启动、工况调整与优化、微生物群落分析等... 详细信息

为探究低C/N城镇污水处理在无外加碳源的情况下实现深度脱氮除磷的效能,试验以实际城镇生活污水为处理对象,搭建了日处理规模为100 m^(3)·d^(-1)的A^(2)/O-BCO前置反硝化除磷中试,并从中试快速启动、工况调整与优化、微生物群落分析等角度进行研究.结果表明,通过先在A^(2)/O单元与BCO单元中分别富集聚磷菌与硝化菌,再增加硝化液回流以富集反硝化除磷菌(DPAOs)的方式,可实现A^(2)/O-BCO前置反硝化除磷中试的快速启动.A^(2)/O单元厌氧/缺氧/好氧容积比调整为3∶5∶1,硝化液回流比设定为250%时,缺氧段对磷去除率的平均值达到95%,平均出水PO_(4)^(3-)-P浓度小于0.2 mg·L^(-1),出水TN小于11 mg·L^(-1).通过分子生物学分析发现,除磷菌(PAOs)与硝化菌丰度显著提高,Candidatus Accumulibacter的相对丰度从原始种泥的2%增加到14%,已被证实具有反硝化聚磷功能的Dechloromonas的相对丰度从原始种泥的2%增加到7%,BCO单元中的生物膜上,Nitrosomonas的相对丰度为5.91%,Nitrospira的相对丰度为7.58%.

关键词：低C/N城镇污水前置反硝化除磷中试规模无外加碳源快速启动

A Deep Learning Method for Chinese Singer Identification

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Tsinghua Science and Technology 2019年第4期24卷 371-378页

作者： Zebang Shen Binbin Yong Gaofeng Zhang Rui zhou qingguo zhou the School of Information Science and Engineering Lanzhou University

As a subfield of Multimedia Information Retrieval(MIR), Singer IDentification(SID) is still in the research phase. On one hand, SID cannot easily achieve high accuracy because the singing voice is difficult to model and always disturbed by the background instrumental music. On the other hand, the performance of conventional machine learning methods is limited by the scale of the training dataset. This study proposes a new deep learning approach based on Long Short-Term Memory(LSTM) and Mel-Frequency Cepstral Coefficient(MFCC) features to identify the singer of a song in large datasets. The results of this study indicate that LSTM can be used to build a representation of the relationships between different MFCC frames. The experimental results show that the proposed method achieves better accuracy for Chinese SID in the MIR-1 K dataset than the traditional approaches.

关键词： singer identification timbre modeling deep learning long short-term memory

PointGAT: Graph attention networks for 3D object detection

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Intelligent and Converged Networks 2022年第2期3卷 204-216页

作者： Haoran zhou Wei Wang Gang Liu qingguo zhou School of Information Science and Engineering Lanzhou UniversityLanzhou 730000China

3D object detection is a critical technology in many applications,and among the various detection methods,pointcloud-based methods have been the most popular research topic in recent *** Graph Neural Network(GNN)is considered to be effective in dealing with pointclouds,in this work,we combined it with the attention mechanism and proposed a 3D object detection method named *** proposed PointGAT outperforms previous approaches on the KITTI test *** in real campus scenarios also demonstrate the potential of our method for further applications.

关键词： 3D object detection pointcloud graph neural network attention mechanism

A Tibetan Sentence Boundary Disambiguation Model Considering the Components on Information on Both Sides of Shad

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Tsinghua Science and Technology 2023年第6期28卷 1085-1100页

作者： Fenfang Li Hui Lv Yiming Gao Dolha Yan Li qingguo zhou School of Information Science and Engineering Lanzhou UniversityLanzhou 730000China Key Laboratory of China’s National Linguistic Information Technology Northwest Minzu UniversityLanzhou 730030China

Sentence Boundary Disambiguation(SBD)is a preprocessing step for natural language *** text into sentences is essential for Deep Learning(DL)and pretraining language *** punctuation marks may involve ambiguity about the sentences’beginnings and ***,the ambiguous punctuation marks must be distinguished,and the sentence structure must be correctly encoded in language *** study proposed a component-level Tibetan SBD approach based on the DL *** models can reduce the error amplification caused by word segmentation and part-of-speech *** most SBD methods have only considered text on the left side of punctuation marks,this study considers the text on both *** this study,465669 Tibetan sentences are adopted,and a Bidirectional Long Short-Term Memory(Bi-LSTM)model is used to perform *** experimental results show that the F1-score of the Bi-LSTM model reached 96%,the most efficient among the six *** are performed on low-resource languages such as Turkish and Romanian,and high-resource languages such as English and German,to verify the models’generalization.

关键词： Sentence Boundary Disambiguation(SBD) punctuation marks ambiguity Bidirectional Long Short-Term Memory(Bi-LSTM)model

Analysis on the development status of intelligent and connected vehicle test site

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Intelligent and Converged Networks 2021年第4期2卷 320-333页

作者： Peng Zhi Rui Zhao Haoran zhou Yanwu zhou Nam Ling qingguo zhou School of Information and Engineering Lanzhou UniversityLanzhou 730000China Beijing Zuosi Information Consulting Co. Ltd.Beijing 100085China Department of Computer Science and Engineering Santa Clara UniversitySanta ClaraCA 95053USA

With the development of automobile intelligence and connectivity,Intelligent and Connected Vehicle(ICV)is an inevitable trend in the transformation and upgrading of the automotive *** maturity of any advanced technology is inseparable from a large number of test verifications,especially the research and application of automotive technology require a large number of reliable tests for evaluation and ***,the ICV Test Site(ICVTS)will become a key deployment *** this paper,we analyze the development status of ICVTS outside and within China,summarize the shortcomings of the existing test sites,and put forward some targeted suggestions,in an effort to guide the development and construction of ICVTS towards the path that seems to be most promising.

关键词： Intelligent and Connected Vehicle(ICV) automatic driving Internet of Vehicles(IoV) test site

LETRNG—A Lightweight and Efficient True Random Number Generator for GNU/Linux Systems

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Tsinghua Science and Technology 2023年第2期28卷 370-385页

作者： Yucong Chen Fangfang Zhu Yanshan Tian Shuaixin Xu Lihong Han qingguo zhou Nam Ling School of Information Science and Engineering Lanzhou UniversityLanzhou 730000China Institute of Modern Physics Chinese Academy of SciencesLanzhou 730000China Department of Computer Science and Engineering Santa Clara UniversitySanta ClaraCA 95053 USA

Unpredictable and irreproducible digital keys are required to modulate security-related information in secure communication *** random number generators(TRNGs)rather than pseudorandom number generators(PRNGs)are required for the highest level of *** is a significant component in the digital security realm for extracting unpredictable binary ***,most TRNGs extract high-quality“noise”from unpredictable physical random ***,these applications must be equipped with external hardware for collecting entropy and converting them into a random digital *** study introduces a lightweight and efficient true random number generator(LETRNG)that uses the inherent randomness of a central processing unit(CPU)and an operating system(OS)as the source of *** then utilize a lightweight post-processing method based on XOR and fair coin operation to generate an unbiased random binary *** based on two famous test suites(NIST and ENT)show that LETRNG is perfectly capable of generating high-quality random numbers suitable for various GNU/Linux systems.

关键词： GNU/Linux system true random number generator complex system inherent randomness nondeterminism

How to Interpret Machine Knowledge

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Engineering 2020年第3期6卷 218-220页

作者： Fashen Li Lian Li Jianping Yin Yong Zhang qingguo zhou Kun Kuang Department of Physics Lanzhou UniversityLanzhou 430000China Department of Computer Science Hefei University of TechnologyHefei 230009China Department of Computer Science Dongguan University of TechnologyDongguan 523808China Department of Physics Xiamen UniversityXiamen 361005China Department of Computer Science Lanzhou UniversityLanzhou 430000China College of Computer Science and Technology Zhejiang UniversityHangzhou 310058China

Machine knowledge refers to the knowledge contained in artificial *** article discusses how to acquire machine knowledge,with a particular focus on the acquisition of causal *** latter is the process of interpreting machine *** the analysis of certain research methods in the fields of physics and artificial intelligence,we propose principles and models for interpreting machine knowledge,and discuss specific methods including the automation of the interpretation process and local linearization.

关键词： artificial knowledge interpreting

Seepage Mitigation in Hydropower Dams by Optimization in Roller Compacted Concrete Interlayer (Monoliths) Joint Bonding Technology

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Open Journal of Civil Engineering 2022年第1期12卷 139-151页

作者： Junjie Jin qingguo zhou Yuanguang Liu Shuncai Ning Kafue Gorge Lower Hydropower Station Sinohydro Bureau No.11 Co. Ltd Zhengzhou China Kafue Gorge Lower Hydropower Station Project Sinohydro Bureau No.11 Co. Ltd Zhengzhou China Kafue Gorge Lower Hydropower Station Project Institution of Engineering and Technology Sinohydro Bureau No.11 Co. Ltd Zhengzhou China Expert Team of Sinohydro Bureau No.11 Co. Ltd Zhengzhou China

Roller Compacted Concrete (RCC) has gained favorable recognition in hydropower and water resource dam construction. With optimization in construction technology and materials used for RCC Dams, cost is no longer a major disadvantage as compared to environmental impact, that is, wildlife habitat disruption. In as much as it has become optimal for investment in hydropower dam construction, the scourge for dam failure is still eminent, which is as a result of excessive seepage compromising the integrity of the mechanical properties of the dam. The aim of the paper is to highlight successful application methods in joint bonding to avoid excessive seepage and reduce the autogenous healing to a few years of operation. In view of optimization, this paper presents a comprehensive study on the influences of interlayer joints bonding quality from RCC mix performances and how it consolidates the RCC layers to withstand the shear strength along the interface, especially on the high dams. The case study is the RCC dam at the 750 MW Kafue Gorge Lower Hydropower Station. The scope of the study reviews the joint type judged by Modified Maturity Factor (MMF) with joint surface long time exposed in regions with dry and high temperature, technical measures of layer bonding quality control under condition of long time joint surface exposure, effects of joints shear strength and impermeability of the RCC layers when under the conditions of plastic and elasticity. The subtle observations made during the dam construction phases were with respect to the optimal use of materials in relation to RCC mix designs and the basis for equipment calibration for monitoring important data that can be referenced during analysis of shear forces acting on the RCC dam over time.

关键词： Seepage Roller Compacted Concrete (RCC) Mix RCC Joint Exposure Time Modified Maturity Factor (MMF) Dry and High Temperature Area RCC Joint Bonding Quality Control Measures Impermeability Shear Forces

Machine Knowledge and Human Cognition

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Big Data Mining and Analytics 2020年第4期3卷 292-299页

作者： Fashen Li Lian Li Jianping Yin Liang Huang qingguo zhou Ning An Yong Zhang Li Liu Jialin Zhang Kun Kuang Lei Yang Zhixi Wu Lianchun Yu the School of Physical Science and Technology Lanzhou UniversityLanzhou 730000China the School of Computer Science and Information Engineering Hefei University of TechnologyHefei 230009China the School of Cyber Science and Engineering Dongguan University of TechnologyDongguan 523808China the Institute of Computational Physics and Complex Systems Lanzhou UniversityLanzhou 730000China the School of Information Science and Engineering Lanzhou UniversityLanzhou 730000China the School of Computer Science and Information Engineering Hefei University of TechnologyHefei 230601China the Department of Physics Xiamen UniversityXiamen 361005China the School of Big Data&Software Engineering Chongqing UniversityChongqing 400044China the Institute of Computing Technology Chinese Academy of SciencesBeijing 100190China the College of Computer Science and Technology Zhejiang UniversityHangzhou 310000China the Institute ofModern Physics Chinese Academy of SciencesLanzhou 730000China

Intelligent machines are knowledge systems with unique knowledge structure and *** this paper,we discuss issues including the characteristics and forms of machine knowledge,the relationship between knowledge and human cognition,and the approach to acquire machine *** issues are of great significance to the development of artificial intelligence.

关键词： intelligent machine machine knowledge human cognition knowledge interpretation principle of functional similarity Probable Approximative Correction(PAC)model