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Classifying Chinese Medicine Constitution Using Multimodal Deep-Learning Model

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Chinese Journal of Integrative Medicine 2024年第2期30卷 163-170页

作者： gu Tian-yu YAN Zhuang-zhi JIANG Jie-hui School of Communication&Information Engineering Shanghai UniversityShanghai(200444)China School of Life Science Shanghai UniversityShanghai(200444)China

Objective:To develop a multimodal deep-learning model for classifying Chinese medicine constitution,i.e.,the balanced and unbalanced constitutions,based on inspection of tongue and face images,pulse waves from palpation,and health information from a total of 540 ***:This study data consisted of tongue and face images,pulse waves obtained by palpation,and health information,including personal information,life habits,medical history,and current symptoms,from 540 subjects(202 males and 338 females).Convolutional neural networks,recurrent neural networks,and fully connected neural networks were used to extract deep features from the *** fusion and decision fusion models were constructed for the multimodal ***:The optimal models for tongue and face images,pulse waves and health information were ResNet18,Gate Recurrent Unit,and entity embedding,*** fusion was superior to decision *** multimodal analysis revealed that multimodal data compensated for the loss of information from a single mode,resulting in improved classification ***:Multimodal data fusion can supplement single model information and improve classification *** research underscores the effectiveness of multimodal deep learning technology to identify body constitution for modernizing and improving the intelligent application of Chinese medicine.

关键词： Chinese medicine constitution classification multimodal deep learning tongue image face image pulsewave health information

Regional changes in extreme heat events in China under stabilized 1.5℃ and 2.0℃ global warming

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Advances in Climate Change Research 2020年第3期11卷 198-209页

作者： ZHANG gu-Wei ZENG gang Vedaste IYAKAREMYE YOU Qing-Long Key Laboratory of Meteorological Disaster of Ministry of Education(KLME) Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters(CIC-FEMD)Nanjing University of Information Science and TechnologyNanjing210044China Department of Atmospheric and Oceanic Sciences Institute of Atmospheric SciencesFudan UniversityShanghai200433China

Extreme heat events(EHEs)have a significant impact on the social economy and human *** is a country with a large population and diverse terrain,and it is necessary to project future extreme heat changes in the *** study used a specially designed dataset,the Community Earth System Model(CESM)simulations,namely CESM low-warming,to investigate the EHEs in China under 1.5℃ and 2.0℃ global *** results indicate that the regional mean warming over China will exceed the global average,about 1.63℃ and 2.24℃ in 1.5℃ and 2.0℃ warmer *** to the present-day(1976–2005),the frequency and duration of the EHEs in South China are projected to increase the most among the *** example,the frequency of EHEs in South China at 1.5℃ and 2.0℃ warming will exceed 3 and 3.5 times the present-day ***,when global warming rises from 1.5℃ to 2.0℃,the increased impacts relative to the 1.5℃ warming level will be the lowest in South China(less than 40%),and the highest increased impacts are projected to appear in Northeast China(53%-84%)and Northwest China(53%–107%).The main reason for this situation is that compared with the 1.5℃ scenario,the upper zonal westerly in northern China weakens and the continental high pressure enhances under the 2.0℃ ***,limiting global warming at 1.5℃ instead of 2.0℃ is beneficial for eliminating extreme heat events,especially for Northeast China and Northwest China.

关键词： China Regional changes Extreme heat events 1.5℃and 2.0℃global warming CESM low-warming

Simultaneous nitrogen and phosphor removal in an aerobic submerged membrane bioreactor

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Journal of Environmental Sciences 2006年第3期18卷 439-445页

作者： WANG zhi-wei WU zhi-chao gu guo-wei YU guo-ping MA Lu-ming State Key Laboratory of Pollution Control and Resource Reuse School of Environmental Science and Engineering Tongji University Shanghai200092 China.

Simultaneous nitrification and denitrification （SND） effect and phosphor removal were investigated in a one-staged aerobic submerged membrane bioreactor on pilot-scale with mixed liquor suspended solids （MLSS） 19--20 g/L. The effects of DO concentration, sludge floc size distribution on SND were studied. Test results suggested that SND was successfully performed in the membrane bioreactor （MBR） and about 70% total nitrogen removal efficiency was achieved when DO concentration was set to 0.2-- 0.3 mg/L. The main mechanisms governing SND were the suitable sludge floc size and the low DO concentration which was caused by low oxygen transfer rate with such a high MLSS concentration in the MBR. In the meantime, phosphor removal was also studied with polymer ferric sulfate （PFS） addition and 14 mg/L dosage of PFS was proper for the MBR to remove phosphor. PFS addition also benefited the MBR operation owing to its reduction of extracellular polymer substances （EPS） of mixed liquor.

关键词： membrane bioreactor (MBR) flat-sheet membrane simultaneous nitrification and denitrifiction (SND) phosphorremoval wastewater treatment oxygen transfer rate

Experimental study of drag reduction characteristics related to the multifactor coupling of a bionic jet surface

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Journal of Hydrodynamics 2019年第1期31卷 186-194页

作者： Yun-qing gu Song-wei Yu Jie-gang Mou Tian-xing Fan Shui-hua Zheng gang Zhao College of Mechanical Engineering Zhejiang University of TechnologyHangzhou 310014China College of Mechanical and Electrical Engineering Harbin Engineering UniversityHarbin 150001China

To study the drag reduction of a jet surface,an experiment is conducted with a gyrorotor *** aim of this study is to analyze the influence of the jet aperture,the jet angle and the rotational velocity coupled with the jet velocity on the friction torque acting on a jet surface model by using a jet surface drag reduction testing experimental *** drag reduction characteristics of the jet surface are also *** results show that the maximum drag reduction rate is attained when the jet diameter is 5 mm and the jet velocity is 1.2 m/*** influence of the jet velocity on the drag reduction rate decreases as the diameter ***,the maximum drag reduction rate can be attained when the angle of the jet is 30° and the velocity of the jet is 1.0 m/*** the jet diameter is small,the influence of the jet velocity on the drag reduction rate is small,whereas the maximum drag reduction rate is attained when the jet angle is 30° and the jet velocity is 1.0 m/*** the jet angle is 15°,the drag reduction rate fluctuation is *** maximum drag reduction rate is attained when the rotational velocity is 2 100 r/min and the jet velocity is 1.0 m/*** results show that the best scheme is A2B2D3 A maximum drag reduction rate of 8.57% can be *** effective control of the jet effect on the separation of the boundary layer demonstrates the drag reduction principle of a bionic jet surface.

关键词： Drag reduction bionic jet surface friction torque coupling experiment

Joint Design of Clustering and In-cluster Data Route for Heterogeneous Wireless Sensor Networks

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International Journal of Automation and computing 2017年第6期14卷 637-649页

作者： Liang Xue Ying Liu zhi-Qun gu zhi-Hua Li Xin-Ping guan School of Information and Electrical Engineering Hebei University of Engineering State Key Laboratory of Information Photonics and Optical Communications Beijing University of Posts and Telecommunications System Control and Information Processing Key Laboratory of Ministry of Education Shanghai Jiao Tong University

A heterogeneous wireless sensor network comprises a number of inexpensive energy constrained wireless sensor nodes which collect data from the sensing environment and transmit them toward the improved cluster head in a coordinated way. Employing clustering techniques in such networks can achieve balanced energy consumption of member nodes and prolong the network *** classical clustering techniques, clustering and in-cluster data routes are usually separated into independent operations. Although separate considerations of these two issues simplify the system design, it is often the non-optimal lifetime expectancy for wireless sensor networks. This paper proposes an integral framework that integrates these two correlated items in an interactive entirety. For that,we develop the clustering problems using nonlinear programming. Evolution process of clustering is provided in simulations. Results show that our joint-design proposal reaches the near optimal match between member nodes and cluster heads.

关键词： Heterogeneous wireless sensor networks clustering technique in-cluster data routes integral framework network lifetimes

Regioselective Propargylation of Aldehydes with Propargyl Bromide Mediated by Sn-In in Aqueous Media under Microwave Irradiation

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Chinese Chemical Letters 2005年第12期16卷 1573-1576页

作者： Cheng zhi gu Qian Rong LI Hao YIN Structure Research Laboratory University of Science and Technology of China Hefei 230026

Tin-indium were employed in the propargylations of various aldehydes with propargyl bromide in the presence of SnCl2 and C6H5（CH3）3NBr under microwave irradiation to afford the corresponding homopropargyl alcohols exclusively in high yields. All the reactions were completed smoothly in predominantly aqueous media in 200 seconds only.

关键词： Propargylation aldehydes tin-indium regioselectivity microwave

Early diversification of birds: Evidence from a new opposite bird

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Chinese Science Bulletin 2001年第11期46卷 945-950页

作者： ZHANG Fucheng ZHOU Zhonghe HOU Lianhai gu gang Institute of Vertebrate Paleontology and Paleoanthropology Chinese Academy of SciencesBeijing 100044China Institute of Archaeology of Liaoning Province Shenyang 120003China

A new enantiornithine bird Longipteryx chao-yangensis gen. et sp. nov. is described from the Early Cretaceous Jiufotang Formation in Chaoyang, western Liaoning Province. This new bird is distinguishable from other known enantiornithines in having uncinate processes in ribs, elongate jaws, relatively long wings and short hindlimbs, and metatarsal Ⅳ longer than metatarsals Ⅱ and Ⅲ. This new bird had probably possessed (i) modern bird-like thorax which provides firm attachment for muscles and indicates powerful and active respiratory ability; (ii) powerful flying ability; (iii) special adaptation for feeding on aquatic preys; and (iv) trochleae of metatarsals Ⅰ-Ⅳ almost on the same level, an adaptation for perching. The new bird represents a new ecological type different from all known members of Enantiornithes. It shows that enantiornithines had probably originated earlier than the Early Cretaceous, or this group had experienced a rapid radiation right after it first occurred in the early Early

关键词： Enantiornithes Early Cretaceous radiation.

Low-PMEPR rotatable pilot sequences for MIMO-OFDM systems

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Science China(Information Sciences) 2022年第12期65卷 319-320页

作者： Yajing ZHOU Zhengchun ZHOU zhi gu Pingzhi FAN School of Information Science and Technology Southwest Jiaotong University School of Mathematics Southwest Jiaotong University Institute of Mobile Communications Southwest Jiaotong University

Dear editor,The multiple-input multiple-output orthogonal frequency division multiplexing(MIMO-OFDM) is the core of many advanced Wi-Fi standards, such as Wi-Fi 4, 5, and 6, to increase the throughput. Operating at the 5-GHz band and considering the phase tracking of the very high throughput long training field(VHT-LTF) sequences,

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基于核主成分分析的半监督日志异常检测模型

江苏大学学报（自然科学版） 2025年第1期46卷 64-72,97页

作者：顾兆军叶经纬刘春波张智凯王志中国民航大学信息安全测评中心天津300300 中国民航大学计算机科学与技术学院天津300300 中国民用航空中南地区空中交通管理局湖北分局湖北武汉432200 南开大学网络空间安全学院天津300350

对于具有“组异常”和“局部异常”分布特点的系统日志数据,传统的ADOA(anomaly detection with partially observed anomalies)半监督日志异常检测方法存在为无标签数据生成的伪标签准确性不佳的问题.针对此问题,提出一种改进的半监督... 详细信息

对于具有“组异常”和“局部异常”分布特点的系统日志数据,传统的ADOA(anomaly detection with partially observed anomalies)半监督日志异常检测方法存在为无标签数据生成的伪标签准确性不佳的问题.针对此问题,提出一种改进的半监督日志异常检测模型.对已知异常样本采用k均值聚类,采用核主成分分析计算无标签样本的重构误差;运用重构误差和异常样本相似分计算出样本的综合异常分,作为其伪标签;依据伪标签计算LightGBM分类器的样本权重,训练异常检测模型.通过参数试验探究了训练集样本比例变化对模型性能的影响.在HDFS和BGL这2个公开数据集上进行试验,结果表明该模型能够提高伪标签的准确性,相较于DeepLog、LogAnomaly、LogCluster、PCA和PLELog等已有模型,精确率和F 1分数均有提升.与传统的ADOA异常检测方法相比,该模型F 1分数在2类数据集上分别提高了0.084和0.085.

关键词：系统日志日志异常检测组异常局部异常半监督重构误差核主成分分析伪标签