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The joint knowledge reasoning model based on knowledge representation learning for aviation assembly domain

Science China(Technological Sciences) 2024年第1期67卷 143-156页

作者： LIU PeiFeng QIAN lu lu hu XUE Lei ZHAO XingWei TAO Bo State Key Laboratory of Digital Manufacturing Equipment and Technology Department of MechanicalHuazhong University of Science and TechnologyWuhan 430074China School of Transportation and Logistics Engineering Wuhan University of Technology(WHUT)Wuhan 430063China Shanghai Aircraft Manufacturing Co. Ltd.Shanghai 201324China

Knowledge graph technology is widely applied in the domain of general knowledge reasoning with an excellent *** fine-grained professional fields,professional knowledge graphs can provide more accurate information in practical industrial *** on an aviation assembly domain-specific knowledge graph,the article constructs a joint knowledge reasoning model,which combines a named entity recognition model and a subgraph embedding learning *** performing knowledge reasoning tasks,the two models vectorize entities,relationships and entity attributes in the same space,so as to share parameters and optimize learning *** knowledge reasoning model,which provides intelligent question answering services,is able to reduce the assembly error rate and improve the assembly *** system can accurately solve general knowledge reasoning problems in the assembly process in actual industrial scenarios of general assembly and component assembly under interference-free ***,this paper compares the proposed knowledge reasoning model based on knowledge representation learning and the question-answering system based on large-scale pre-trained *** the application scenario of system functional testing in general assembly,the joint model attains an accuracy rate of 95%,outperforming GPT with 78%accuracy and enhanced representation through knowledge integration with 71%accuracy.

关键词： intelligent manufacturing knowledge graph aviation assembly knowledge representation knowledge-based question an-swering

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An adaptive physics-informed deep learning method for pore pressure prediction using seismic data

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Petroleum Science 2024年第2期21卷 885-902页

作者： Xin Zhang Yun-hu lu Yan Jin Mian Chen Bo Zhou State Key Laboratory of Petroleum Resources and Prospecting China University of Petroleum(Beijing)Beijing102249China College of Petroleum Engineering China University of Petroleum(Beijing)Beijing102249China College of Artificial Intelligence China University of Petroleum(Beijing)Beijing102249China PetroChina Tarim Oilfield Company KorlaXinjiang841000China

Accurate prediction of formation pore pressure is essential to predict fluid flow and manage hydrocarbon production in petroleum *** deep learning technique has been receiving more interest due to the great potential to deal with pore pressure ***,most of the traditional deep learning models are less efficient to address generalization *** fill this technical gap,in this work,we developed a new adaptive physics-informed deep learning model with high generalization capability to predict pore pressure values directly from seismic ***,the new model,named CGP-NN,consists of a novel parametric features extraction approach(1DCPP),a stacked multilayer gated recurrent model(multilayer GRU),and an adaptive physics-informed loss *** machine training,the developed model can automatically select the optimal physical model to constrain the results for each pore pressure *** CGP-NN model has the best generalization when the physicsrelated metricλ=0.5.A hybrid approach combining Eaton and Bowers methods is also proposed to build machine-learnable labels for solving the problem of few *** validate the developed model and methodology,a case study on a complex reservoir in Tarim Basin was further performed to demonstrate the high accuracy on the pore pressure prediction of new wells along with the strong generalization *** adaptive physics-informed deep learning approach presented here has potential application in the prediction of pore pressures coupled with multiple genesis mechanisms using seismic data.

关键词： Pore pressure prediction Seismic data 1D convolution pyramid pooling Adaptive physics-informed loss function High generalization capability

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Machine learning for carbonate formation drilling: Mud loss prediction using seismic attributes and mud loss records

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Petroleum Science 2024年第2期21卷 1241-1256页

作者： hui-Wen Pang Han-Qing Wang Yi-Tian Xiao Yan Jin Yun-hu lu Yong-Dong Fan Zhen Nie National Key Laboratory of Petroleum Resources and Engineering China University of Petroleum(Beijing)Beijing102249China College of Science China University of Petroleum-BeijingBeijing102249China Petroleum Exploration and Production Research Institute SINOPECBeijing102206China College of Petroleum Engineering China University of Petroleum-BeijingBeijing102249China Research Institute of Petroleum Exploration and Development CNPCBeijing100083China

Due to the complexity and variability of carbonate formation leakage zones, lost circulation prediction and control is one of the major challenges of carbonate drilling. It raises well-control risks and production expenses. This research utilizes the H oilfield as an example, employs seismic features to analyze mud loss prediction, and produces a complete set of pre-drilling mud loss prediction solutions. Firstly, 16seismic attributes are calculated based on the post-stack seismic data, and the mud loss rate per unit footage is specified. The sample set is constructed by extracting each attribute from the seismic trace surrounding 15 typical wells, with a ratio of 8:2 between the training set and the test set. With the calibration results for mud loss rate per unit footage, the nonlinear mapping relationship between seismic attributes and mud loss rate per unit size is established using the mixed density network ***, the influence of the number of sub-Gausses and the uncertainty coefficient on the model's prediction is evaluated. Finally, the model is used in conjunction with downhole drilling conditions to assess the risk of mud loss in various layers and along the wellbore trajectory. The study demonstrates that the mean relative errors of the model for training data and test data are 6.9% and 7.5%, respectively, and that R2is 90% and 88%, respectively, for training data and test data. The accuracy and efficacy of mud loss prediction may be greatly enhanced by combining 16 seismic attributes with the mud loss rate per unit footage and applying machine learning methods. The mud loss prediction model based on the MDN model can not only predict the mud loss rate but also objectively evaluate the prediction based on the quality of the data and the model.

关键词： Lost circulation Risk prediction Machine learning Seismic attributes Mud loss records

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Method of Single Event Effects Radiation Hardened Design for DC-DC Converter Based Load Transient Detection

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Chinese Journal of Electronics 2024年第5期33卷 1154-1164页

作者： Zhongjie GUO Nan LIU hu lu Mengli LI Ziyi QIU School of Automation and Information Engineering Xi'an University of Technology

Aiming at the impact of load current change on single-event transient, the essential difference between single-event transient and load transient of DC-DC converter is deeply studied. A hardened circuit based on load transient detection is proposed. The circuit detects the load transient information in time and outputs a control signal to control the single event hardened circuit, thereby realizing the improvement of the transient characteristics of the system under dynamic conditions. Based on the 180 nm bipolar-CMOS-DMOS（BCD） process, the design and physical verification of a boost converter are completed. The experimental results show that the input voltage range is 2.9–4.5 V, the output voltage range is 5.8–7.9 V, and the load current is 0–55 mA. During load transients, the load detection circuit turns off the hardened circuit in time, avoiding system oscillation and widening the dynamic range of the hardening circuit. Under the single-event transient, the output voltage fluctuation of the system does not exceed the maximum ripple voltage, and the single-event transient suppression ability reaches more than 86%, the system can work well with linear energy transfer of about 100 Me V·cm2/mg.

关键词： Voltage fluctuations Fluctuations Radiation hardening (electronics) Energy exchange DC-DC power converters Dynamic range Transient analysis DC-DC converter Analog single-event transient effect Load transient detection Radiation hardened by design TMR

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Patient satisfaction and follow-up adherence to glaucoma case management clinic in China

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International Journal of Ophthalmology(English edition) 2024年第1期17卷 73-81页

作者： Hao Lin hu-Jie lu Wen-Zhe Zhou Shu-Shu Zuo Yan-Yan Chen Shao-Dan Zhang National Clinical Research Center for Ocular Diseases Eye HospitalWenzhou Medical UniversityWenzhou 325027Zhejiang ProvinceChina School of Ophthalmology and Optometry Biomedical EngineeringWenzhou Medical UniversityWenzhou 325027Zhejiang ProvinceChina

AIM:To assess glaucoma patient satisfaction and follow-up adherence in case management and identify associated predictors to improve healthcare quality and patient ***:In this cross-sectional study,a total of 119 patients completed a Patient Satisfaction Questionnaire-18 and a sociodemographic *** data was obtained from the case management ***-up adherence was defined as completing each follow-up within±30d of the scheduled time set by ophthalmologists during the study ***:Average satisfaction scored 78.65±7,with an average of 4.39±0.58 across the seven *** negatively correlated with satisfaction(P=0.008),whilst patients with follow-up duration of 2 or more years reported higher satisfaction(P=0.045).Multivariate logistics regression analysis revealed that longer follow-up durations were associated with lower follow-up adherence(OR=0.97,95%CI,0.95-1.00,P=0.044).Additionally,patients with suspected glaucoma(OR=2.72,95%CI,1.03-7.20,P=0.044)and those with an annual income over 100000 Chinese yuan demonstrated higher adherence(OR=5.57,95%CI,1.00-30.89,P=0.049).CONCluSION:The case management model proves effective for glaucoma patients,with positive adherence *** implementation of this model can be optimized in the future based on the identified factors and extended to glaucoma patients in more hospitals.

关键词： glaucoma patient satisfaction follow-up adherence case management

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考虑混合车位的自动驾驶电动共享汽车系统配置与运营联合优化

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中国公路学报 2024年第4期37卷 37-47页

作者：胡路徐尉耀李皓西南交通大学交通运输与物流学院四川成都611756 西南交通大学综合交通大数据应用技术国家工程实验室四川成都3611756 长沙理工大学交通运输工程学院湖南长沙410114 长沙理工大学智能道路与车路协同湖南省重点实验室湖南长沙410114

自动驾驶电动共享汽车作为未来可持续发展的交通方式,结合配建充电车位与非充电车位(混合车位)的站点,是调和城市出行、停车和充电供需矛盾的有效途径。考虑混合车位配置、基于Logit弹性需求研究动态定价和车辆自主调度的联合优化问题... 详细信息

自动驾驶电动共享汽车作为未来可持续发展的交通方式,结合配建充电车位与非充电车位(混合车位)的站点,是调和城市出行、停车和充电供需矛盾的有效途径。考虑混合车位配置、基于Logit弹性需求研究动态定价和车辆自主调度的联合优化问题。基于单商品流时空电池网络,构建了以车位数、出行定价、时空电池弧流量为决策变量,以运营利润最大化为目标的混合整数非线性规划模型。由于该模型难以得出高质量解,以外内切割线近似方法逼近Logit函数,之后通过一种基于二次方的整数变量分解与车位约束松弛方法,共同将原模型重构为混合整数线性规划,并利用GUROBI优化引擎求解。对比了重构前后的配置和运营联合决策优化结果,表明所提出方法可以有效提升求解效率。成都市案例结果表明:与全部使用充电车位相比,混合车位配置在同等订单满足率的前提下,充电车位提高10.59%的利用率并降低28.87%的成本,缩减4.15%的搬迁成本;与固定出行定价相比,动态定价策略在提升整体运营利润的基础上,有效缩减16.03%的非必要调度;动态定价区间高低与车辆搬迁数、OD实际需求量成反比;高车位成本将使非充电车位的租赁数急剧下降;充电速率下降则减少运营收益可达12.35%,且充电与非充电车位数分别增幅14.75%和12.34%。

关键词：交通工程共享出行线性化自动驾驶运营混合车位动态定价

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地球物理技术在海砂矿资源评价及选址中的应用

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地下水 2024年第4期46卷 144-147,277页

作者：胡露薇福建省厦门地质工程勘察院福建厦门361008

为进一步提高海砂资源勘查的效率与精度,以某海域经济开发区海砂矿资源评价及选址项目为例,采用多波束测深、单道地震系统、侧扫声呐及钻探等技术,较为精细地刻画海底地形、微地貌及浅部地层特征,探明了砂体的沉积格局及平面展布规律,... 详细信息

为进一步提高海砂资源勘查的效率与精度,以某海域经济开发区海砂矿资源评价及选址项目为例,采用多波束测深、单道地震系统、侧扫声呐及钻探等技术,较为精细地刻画海底地形、微地貌及浅部地层特征,探明了砂体的沉积格局及平面展布规律,厘清了工程区海砂资源的分布范围和厚度特征。以单道地震剖面及钻孔约束数据为基础,结合高分辨率地形水深数据,建立海砂体的DEM模型对工程区海砂资源量进行评价,并采用地质块段法对矿体进行验证性估算。模型计算结果表明:海砂的总资源量约为2.017×10~7 m^(3),地质块段法计算海砂矿总资源量约为1.905×10~7 m^(3),两者相差5.55%,,两者相互验证,满足估算精度要求,有效保障海砂体积的计算精度;地球物理方法的应用能有效提高海砂资源量探测精度,降低探测成本,可广泛应用于海域海砂资源量探测,应用前景广阔。

关键词：矿产资源评价海砂矿选址多波束测深单道地震系统侧扫声呐

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综合保税区改善城市企业绿色技术创新效应实证研究

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中央财经大学学报 2024年第3期 118-128页

作者：叶修群胡璐蒋嘉云刘长进江西师范大学商学院南京师范大学商学院南昌航空大学经济管理学院

综合保税区在以其扩大对外开放政策平台功能推动经济外向型转型的同时,改善城市企业绿色技术创新效应。笔者以2005—2021年中国内地地级市及以上城市的面板数据,运用双重差分法实证检验了设立综合保税区与城市企业绿色技术创新效应二者... 详细信息

综合保税区在以其扩大对外开放政策平台功能推动经济外向型转型的同时,改善城市企业绿色技术创新效应。笔者以2005—2021年中国内地地级市及以上城市的面板数据,运用双重差分法实证检验了设立综合保税区与城市企业绿色技术创新效应二者之间的关联。检验结果证实:设立综合保税区促进了所在城市企业绿色技术创新效应的提高;综合保税区的制度示范效应和产业结构升级效应与所在城市企业绿色技术创新效应正相关,综合保税区的FDI技术溢出效应与所在城市企业绿色技术创新效应负相关;综合保税区与城市企业绿色技术创新效应的关联性因设立综合保税区城市的地理位置、行政等级和城市规模等不同而表现出异质性;设立综合保税区对城市企业绿色技术创新效应的影响存在某种程度的负空间外部性。本研究将综合保税区通过整合各类海关特殊监管区所具有的多种功能聚焦于如何影响城市企业绿色技术创新效应上,通过实证检验揭示了设立综合保税区与城市企业绿色技术创新效应之间的影响机制,所得研究结论有助于为国家批准、设立综合保税区以及相关部门制定综合保税区具体政策和城市企业充分利用综合保税区改善绿色技术创新效应提供理论依据。

关键词：综合保税区绿色技术创新制度示范 FDI技术溢出产业结构升级

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基于二次博弈云模型的石羊河流域水资源承载力评价

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水电能源科学 2024年第5期42卷 58-62页

作者：陶虎胡广录白元儒焦娇刘鹏周成乾兰州交通大学环境与市政工程学院甘肃兰州730070 甘肃省黄河水环境重点实验室甘肃兰州730070

为准确判断石羊河流域水资源承载力状况,提升流域内经济高质量发展与水资源承载力的适应能力,从社会、经济、生态、水资源系统中选取16个评价指标构建石羊河流域水资源承载力评价体系,利用二次博弈云模型和障碍度模型评价石羊河流域2000... 详细信息

为准确判断石羊河流域水资源承载力状况,提升流域内经济高质量发展与水资源承载力的适应能力,从社会、经济、生态、水资源系统中选取16个评价指标构建石羊河流域水资源承载力评价体系,利用二次博弈云模型和障碍度模型评价石羊河流域2000~2020年水资源承载力变化状况并查明主要障碍因子。结果表明,2000~2020年,石羊河流域水资源承载力状况有所改善,水资源承载力总体处于Ⅲ级(临界承载状态);生态环境用水率、人均GDP、实际耕地灌溉率是水资源承载力的主要障碍因子;石羊河流域应调整用水结构、优化水资源配置、促进节水型经济的发展、加强生态环境保护,以提高水资源的合理高效利用。

关键词：云模型博弈论多组合权重障碍度水资源承载力石羊河流域

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芹糖葛根素对非酒精性脂肪肝小鼠肝脂代谢的影响

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中国临床药理学杂志 2024年第11期40卷 1598-1602页

作者：尚志胡银璐徐圣麟林莉莉上海中医药大学附属曙光医院中西医结合疫病研究所上海200021 无锡卫生高等职业技术学校药学系江苏无锡214028 天津中医药大学中药学院天津301617

目的研究芹糖葛根素对非酒精性脂肪肝(NAFLD)模型小鼠的防治作用,及其对肝脂代谢的影响。方法将32只雄性C57BL/6J小鼠随机分为正常组、模型组和低、高剂量实验组,每组8只。正常组给予普通维持饲料;其余3组饲养高脂饮食构建NAFLD模型。... 详细信息

目的研究芹糖葛根素对非酒精性脂肪肝(NAFLD)模型小鼠的防治作用,及其对肝脂代谢的影响。方法将32只雄性C57BL/6J小鼠随机分为正常组、模型组和低、高剂量实验组,每组8只。正常组给予普通维持饲料;其余3组饲养高脂饮食构建NAFLD模型。低、高剂量实验组分别灌胃给予5、10 mg·kg^(-1)芹糖葛根素;正常组与模型组均灌胃给予等量二甲基亚砜。4组小鼠每天给药1次,连续给药8周。观察小鼠体质量变化,用试剂盒检测小鼠血清中谷丙转氨酶(GPT)、谷草转氨酶(GOT)含量和肝组织中总胆固醇(TC)、三酰甘油(TG)含量,用蛋白质印迹法检测乙酰辅酶A羧化酶1(ACC1)和磷酸化5′-磷酸腺苷活化蛋白激酶(p-AMPK)蛋白的表达水平。结果正常组、模型组和低、高剂量实验组的体质量分别为(32.69±1.37)、(45.51±3.29)、(41.18±3.22)和(38.28±2.62)g,血清GPT分别为(36.53±6.44)、(134.56±39.91)、(121.54±43.38)和(75.92±25.98)U·L^(-1),小鼠血清GOT分别为(60.81±8.74)、(188.51±39.70)、(156.02±41.67)和(126.79±16.49)U·L^(-1),肝TC分别为(2.17±0.24)、(6.46±1.22)、(5.86±0.66)和(3.62±0.45)mmol·L^(-1),肝TG分别为(0.57±0.09)、(1.39±0.27)、(1.28±0.34)和(0.73±0.19)mmol·L^(-1),ACC1蛋白相对表达水平分别为1.01±0.04、2.00±0.02、1.47±0.08和1.20±0.09,p-AMPK蛋白相对表达水平分别为1.03±0.09、0.33±0.02、0.66±0.04和0.95±0.08。模型组的上述指标与高剂量实验组和正常组相比较,在统计学上差异均有统计学意义(均P<0.05)。结论芹糖葛根素通过调控AMPK信号通路,从而改善NAFLD小鼠的脂代谢。

关键词：芹糖葛根素非酒精性脂肪肝脂代谢 5′-磷酸腺苷活化蛋白激酶信号通路

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