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Online soft measurement for wastewater treatment system based on hybrid deep learning

Frontiers of Environmental Science & Engineering 2024年第2期18卷 77-89页

作者： Wenjie Mai Zhenguo Chen Xiaoyong Li Xiaohui Yi yingzhong zhao Xinzhong He Xiang Xu Mingzhi Huang SCNU Environmental Research Institute Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety&MOE Key Laboratory of Theoretical Chemistry of EnvironmentSchool of EnvironmentSouth China Normal UniversityGuangzhou 510006China Fujian Environmental Protection Design Institute Co.Ltd. Fuzhou 350000China Huashi(Fujian)Environment Technology Co.Ltd. Quanzhou362001China SCNU Qingyuan Institute of Science and Technology Innovation Co.Ltd. Qingyuan 511517China Econ Technology Co.Ltd. Yantai 265503China

The existing automated wastewater treatment control systems encounter challenges such as the utilization of specialized testing instruments, equipment repair complications, high operational costs, substantial operational errors, and low detection accuracy. An effective soft measure model offers a viable approach for real-time monitoring and the development of automated control in the wastewater treatment process. Consequently, a novel hybrid deep learning CNN-BNLSTM-Attention (CBNLSMA) model, which incorporates convolutional neural networks (CNN), bidirectional nested long and short-term memory neural networks (BNLSTM), attention mechanisms (AM), and Tree-structure Parzen Estimators (TPE), has been developed for monitoring effluent water quality during the wastewater treatment process. The CBNLSMA model is divided into four stages: the CNN module for feature extraction and data filtering to expedite operations;the BNLSTM module for temporal data’s temporal information extraction;the AM module for model weight reassignment;and the TPE optimization algorithm for the CBNLSMA model’s hyperparameter search optimization. In comparison with other models (TPE-CNN-BNLSTM, TPE-BNLSTM-AM, TPE-CNN-AM, PSO-CBNLSTMA), the CBNLSMA model reduced the RMSE for effluent COD prediction by 25.4%, decreased the MAPE by 32.9%, and enhanced the R2 by 14.9%. For the effluent SS prediction, the CBNLSMA model reduced the RMSE by 26.4%, the MAPE by 21.0%, and improved the R2 by 35.7% compared to other models. The simulation results demonstrate that the proposed CBNLSMA model holds significant potential for real-time effluent quality monitoring, indicating its high potential for automated control in wastewater treatment processes.

关键词： Prediction model Soft measurement CNN-BNLSTM-AM model TPE optimization algorithm

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Phenological,morphological,and reproductive characterization of Chinese sesame( Sesamum indicum L.)

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Oil Crop Science 2016年第2期1卷 35-50页

作者： Hongyan LIU yingzhong zhao Key Laboratory of Oil Crops Biology and Genetic Improvement Ministry of AgricultureOil Crops Research InstituteCAAS

Sesame （ Sesamum indicum L. ） is an important oilseed crop in tropical and sub - tropical areas, but recent seed shortages for consumption have occurred. To address this, study objectives were to characterize and classify sesame phenotypic traits; disease and drought resistance; and germplasm con-stituents （i. e. , oil, protein, and sesamin content） through accession classification using principle com-ponent analysis at the Oil Crops Research Institute （OCRI） , CAAS. This organization maintains a total of 5,426 sesame accessions, of which 5,218 originated from China （ representing 29 provinces, munici-palities, and autonomous regions, except for Ningxia, Qinghai, and Taiwan） , and 208 derived from 24 countries including Asia, Africa, Europe, South America, and North America. A total of 110 randomly selected sesame accessions and cultivars were seeded at OCRI between May 20 and June 10, 2005 - 2006. All accessions produced 8 to 55 g of seed per plant. All tested sesame accessions were successfully grown at the Oil Crops Research Institute （OCRI）,CAAS. Accessions were classified into 4 discrete clusters. Variance analysis and principal component analysis revealed a high degree of variability among the accessions based on phenological, morphological, and reproductive traits. These traits can be used to effectively distinguish accessions and to improve breeding programs for high - yielding sesame cultivars.

关键词： phenology morphology reproduction genetic resource sesame

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Minimal descriptors for tests on distinctness, uniformity and stability of sesame

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Oil Crop Science 2016年第3期1卷 36-44页

作者： Hongyan Liu yingzhong zhao Key Laboratory of Oil Crops Biology and Genetic Improvement Ministry of Agriculture Oil Crops Research Institute CAAS Wuhan China

To set a distinction method for sesame cultivars, 110 sesame （Sesamum indicum L.） germplasms were collected from China, Cuba, the former Soviet Union, Mozambique, Japan, and the United States. Materials were characterized for various agro-morphological traits at 3 locations in China （Wuhan, Zhumadian and Shijiazhuang） during 2005 and 2006. 34 traits were observed. Yield-related traits showed wide range of phenotypic variability. Number of nodes to the first flower, initial flowering, leaf length, leaf width, leaf length/ width ratio at initial flowering, lobe incision of basal leaf, petiole length of basal leaf, branch number, plant height, capsule length, capsule width, 1000-seed weight, seed oil content, and seed crude protein content were scored according to grades 3, 4, 5, 6 and 7. Stem hairiness, leaf color, flower hairiness, color on outer side of corolla, pink color on inner side of lower lip, anther filament color, and capsule hairiness ranged from few （light） to more （heavy） and were scored according to the minimal descriptors 1, 2 and 3. Number of flow-ers per leaf axil, pink color on inner side of corolla, enations on back side of a leaf, petiole color, number of carpels per capsule, plant growth type, stem branching, main stem color at maturity, capsule color at maturity, capsule dehiscence at maturity, seed shape, and seed coat texture varied little and were scored according to two grades, either 1 and 2 or 1 and 9. The 5 seed coat colors white, yellow, brown, grey and black, were scored as 1,2, 3, 4, and 5 respectively. Based on traits variability, a set of 34 minimal descriptors was suggested for characterization of sesame for distinctness, uniformity and stability （DUS）, and was recom-mended in national agriculture standard NY/T 2434-2013.

关键词： descriptors DUS test evaluation varieties sesame

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Phenological,morphological and reproductive characterizations of sesame(Sesamum indicum L.)germplasm in China

Phenological,morphological and reproductive characterization...

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中国作物学会——2015年学术年会

作者： Liu Hongyan zhao yingzhong Key Laboratory of Oil Crops Biology and Genetic Improvement Ministry of AgricultureOil Crops Research InstituteCAAS

Sesame(Sesamum indicum L.)is an important oilseed crop of tropical and sub-tropical area of the *** is widely used in cooking,food and *** Oil Crops Research Institute,CAAS conserves5426 accessions,5218 Of them originated from China(from 29 provinces,municipalities and autonomous regions except Ningxia,Qinghai and Taiwan),208 Of them originated from 24 foreign countries,including Asia,Africa,Europe South America and North America.110 sesame accessions and cultivars randomly selected were seeded to the field in Oil Crops Research Institute between 20 May and 10 June in *** Of them were observed and recorded for morphological,phenological and reproductive traits during the growth *** accessions produced 8 t0 55g seeds per *** sesame accessions selected can be successfully grown in Oil Crops Research Institute,*** all accessions were classified into 4discrete *** analysis and principal component analysis revealed that considerable variability among those accessions in phenological,morphological and reproductive *** traits can be successfully used to distinguish accessions and are useful for improving sesame cultivars in breeding program.

关键词： Phenology Morphology Reproduction Genetic resource Sesame

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Water quality soft-sensor prediction in anaerobic process using deep neural network optimized by Tree-structured Parzen Estimator

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Frontiers of Environmental Science & Engineering 2023年第6期17卷 23-35页

作者： Junlang Li Zhenguo Chen Xiaoyong Li Xiaohui Yi yingzhong zhao Xinzhong He Zehua Huang Mohamed A.Hassaan Ahmed El Nemr Mingzhi Huang SCNU Environmental Research Institute Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety&MOE Key Laboratory of Theoretical Chemistry of EnvironmentSchool of EnvironmentSouth China Normal UniversityGuangzhou 510006China Fujian Environmental Protection Design Institute Co.Ltd Fuzhou 350000China National Institute of Oceanography and Fisheries NIOFAlexandria 21556Egypt SCNU Qingyuan Institute of Science and Technology Innovation Co. Ltd.Qingyuan 511517China

Anaerobic process is regarded as a green and sustainable process due to low carbon emission and minimal energy consumption in wastewater treatment plants(WWTPs).However,some water quality metrics are not measurable in real time,thus influencing the judgment of the operators and may increase energy consumption and carbon *** of the solutions is using a soft-sensor prediction *** article introduces a water quality soft-sensor prediction method based on Bidirectional Gated Recurrent Unit(BiGRU)combined with Gaussian Progress Regression(GPR)optimized by Tree-structured Parzen Estimator(TPE).TPE automatically optimizes the hyperparameters of BiGRU,and BiGRU is trained to obtain the point prediction with GPR for the interval ***,a case study applying this prediction method for an actual anaerobic process(2500 m^(3)/d)is carried *** show that TPE effectively optimizes the hyperparameters of *** point prediction of CODeff and biogas yield,R^(2)values of BiGRU,which are 0.973 and 0.939,respectively,are increased by 1.03%–7.61%and 1.28%–10.33%,compared with those of other models,and the valid prediction interval can be ***,the proposed model is assessed as a reliable model for anaerobic process through the probability prediction and reliable *** is expected to provide high accuracy and reliable water quality prediction to offer basis for operators in WWTPs to control the reactor and minimize carbon emission and energy consumption.

关键词： Water quality prediction Soft-sensor Anaerobic process Tree-structured Parzen Estimator

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Characterization of an anther-specific cell wall invertase,Sicwinvl,and its highly specific promoter isolated from sesame

Characterization of an anther-specific cell wall invertase,S...

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2017年中国作物学会学术年会

作者： Ting Zhou Guocun Hao Yuanxiao Yang Hongyan Liu Minmin Yang yingzhong zhao Key Laboratory of Biology and Genetic Improvement of Oil Crops Ministry of Agriculture of the People’s Republic of ChinaOilcrops Research InstituteChinese Academy of Agricultural Sciences

Male sterility is an effective method for sesame hybrid *** wall invertase(CWINV) plays a crucial role in providing carbohydrates for male gametophyte development,and anther-specific repression of CWINV genes in different species causes male sterile *** this study,a sesame CWINV gene defined as Sicwinv1 was *** analysis indicated that it contained the conserved β-fructosidase motif and a cysteine catalytic site as well as the glycosylation motif of CWINV *** localization indicated that Sicwinv1 mainly accumulated in the membrane and ***-PCR revealed that Sicwinv1 was particularly expressed in the *** promoter analysis in Arabidopsis confirmed the anther-specific expression pattern and showed that GUS staining was mainly detected in the anther *** quantitative GUS assay indicated that the Sicwinv1 promoter drove GUS expression and was correlated with the anther development ***,in situ hybridization revealed that Sicwinv1 was expressed in the tetrad stage in sesame and that Sicwinv1 RNA mainly accumulated in the tapetum and tetrad,indicating a role of Sicwinv1 in anther development and male *** results might be an important first step toward unravelling the roles of sesame CWINV and point to a potential for utilizing this gene and its promoter for engineering male sterility for hybrid production in sesame.

关键词： Sesame cell wall invertase promoter male gametophyte development

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芝麻栽培种与野生种种间杂交亲和性研究

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中国农学通报 2011年第9期27卷 156-159页

作者：刘红艳赵应忠中国农业科学院油料作物研究所农业部油料作物生物学重点开放实验室武汉430062

以芝麻栽培种‘中芝14’(2n=26)为母本,分别与野生种‘刚果野芝麻’(2n=64)和‘野芝1号’(2n=64)进行正反交,结果表明:栽培种与野生种杂交均可得种子,其中‘中芝14’与‘刚果野芝麻’正交结籽率为2.16%,平均每蒴粒数为0.85粒,反交结籽率... 详细信息

以芝麻栽培种‘中芝14’(2n=26)为母本,分别与野生种‘刚果野芝麻’(2n=64)和‘野芝1号’(2n=64)进行正反交,结果表明:栽培种与野生种杂交均可得种子,其中‘中芝14’与‘刚果野芝麻’正交结籽率为2.16%,平均每蒴粒数为0.85粒,反交结籽率为95.14%,平均每蒴粒数为2.16粒;‘中芝14’与‘野芝1号’正交结籽率为8.21%,平均每蒴粒数0.51粒,反交结籽率为0.79%,平均每蒴粒数5.43粒。将杂种F1植株与亲本比较发现,F1植株的形态偏向于母本。因此,通过人工杂交的方法难以得到真正的杂交种。

关键词：芝麻栽培种野生种种间杂交亲和性

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STUDY ON MOVEMENT MODEL OF TRACING MEASUREMENT EQUIPMENT DURING CRANKSHAFT NONCIRCULAR GRINDING PROCESS

STUDY ON MOVEMENT MODEL OF TRACING MEASUREMENT EQUIPMENT DUR...

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2006年中国机械工程学会年会暨中国工程院机械与运载工程学部首届年会

作者： LI Wei, LI Ming, zhao Xiaoyin, TIAN yingzhong, PENG Qiusheng CIMS & Robot Center of Shanghai University, Shanghai 200072, China

The characteristic of noncircular grinding process causesthe crankshaft online measurement to be extremely *** paper proposes one new online active trackingmeasuring technique which checks

关键词： Noncircular grinding process in-situmeasurement velocity model roundness.

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分子标记在作物育种中的应用

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生物技术通报 2000年第2期16卷 12-16,22页

作者：危文亮赵应忠中国农科院油料作物研究所武汉430062

近 2 0年来发展了多种分子标记 ,使作物育种学家有可能直接根据基因型而不只是表现型进行选择 ,在作物育种的各个方面具有重要的利用价值。本文简要综述了分子标记在作物育种方面的有关应用 ,主要内容有 :(1)分子图谱构建与基因定位 ;(2... 详细信息

近 2 0年来发展了多种分子标记 ,使作物育种学家有可能直接根据基因型而不只是表现型进行选择 ,在作物育种的各个方面具有重要的利用价值。本文简要综述了分子标记在作物育种方面的有关应用 ,主要内容有 :(1)分子图谱构建与基因定位 ;(2 )DNA指纹库的建立 ;(3)标记辅助选择 ;(4)F1杂种优势分析 ;(5 )基于图谱克隆基因。

关键词：分子标记基因定位 DNA指纹库杂种优势基因克隆作物育种

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经阴道三维超声联合二维超声对子宫肌瘤的诊断价值的临床研究

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航空航天医学杂志 2018年第12期29卷 1454-1456页

作者：肖莉赵迎忠新疆石河子市人民医院超声诊断科新疆石河子832000 新疆伊犁州奎屯医院超声科新疆伊犁833200

目的探究经阴道三维超声联合二维超声对子宫肌瘤的诊断价值。方法研究对象选取2016年4月-2017年12月收治疑似子宫肌瘤患者146例,根据其检测方法分为二维组(73例)及联合组(73例),其中二维组使用经阴道二维超声进行检测诊断,联合组在其基... 详细信息

目的探究经阴道三维超声联合二维超声对子宫肌瘤的诊断价值。方法研究对象选取2016年4月-2017年12月收治疑似子宫肌瘤患者146例,根据其检测方法分为二维组(73例)及联合组(73例),其中二维组使用经阴道二维超声进行检测诊断,联合组在其基础上施加经阴道三位超声进行检测,观察两组检测结果,比较两组检测阴性预测值、阳性预测值、检测灵敏度、特异度及约登指数。结果二维组检测真阳性55例,假阳性3例,真阴性5例,假阴性10例。联合组真阳性60例,假阳性1例,真阴性8例,假阴性4例。两组阳性预测值无显著差异(P> 0. 05),联合组阴性预测值、检测灵敏度、特异度及约登指数显著高于二维组,差异具有统计学意义(P <0. 05)。结论经阴道三维超声联合二维超声能更加准确地对子宫肌瘤进行诊断,值得临床推广。

关键词：经阴道三维超声二维超声子宫肌瘤诊断价值

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