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Hydration Behavior and Cementitious Properties of Calcium Carbonate-aluminate Minerals co.posite

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Journal of Wuhan University of Technology(Materials Science) 2024年第1期39卷 126-133页

作者：王冲周帅 ZOU Luyao LIU Jiawen ZHENG Yalin co.lege of Materials Science and Engineering Chongqing UniversityChongqing 400045China China West co.struction group co. Ltd.Chengdu 610015China

The purpose of this research is to investigate the hydration behavior and cementitious properties of the mixture of calcium carbonate and aluminate, and to explore whether it can be adopted as a new low-carbon cementitious material. The co.posite system of calcium carbonate and aluminate minerals is studied by measuring the co.ponent of hydration products, the hydration heat, setting time and co.pressive *** results prove that the co.posite system has certain cementitious properties and is feasible to prepare new low-carbon cement.

关键词： limestone hydrated calcium carboaluminate cementitious properties mechanical properties

A Secure Device Management Scheme with Audio-Based Location Distinction in IoT

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工程与科学中的计算机建模(英文) 2024年第1期138卷 939-956页

作者： Haifeng Lin Xiangfeng Liu Chen Chen Zhibo Liu Dexin Zhao Yiwen Zhang Weizhuang Li Mingsheng Cao co.lege of Eco.omics and Management Nanjing University of Aeronautics and AstronauticsNanjing211106China chengdu aircraft industrial(group)co. Ltd.Chengdu610073China Academy of Military Sciences of PLA Beijing100091China School of Information and Software Engineering University of Electronic Science and Technology of ChinaChengdu610054China Ningbo Web King Technology Joint Stock co. Ltd.Ningbo315000China The Network and Data Security Key Laboratory of Sichuan Province University of Electronic Science and Technology of ChinaChengdu610054China

Identifying a device and detecting a change in its position is critical for secure devices management in the Internet of Things(IoT).In this paper,a device management system is proposed to track the devices by using audio-based location distinction *** the proposed scheme,traditional cryptographic techniques,such as symmetric encryption algorithm,RSA-based signcryption scheme,and audio-based secure transmission,are utilized to provide authentication,non-repudiation,and co.fidentiality in the information interaction of the management ***,an audio-based location distinction method is designed to detect the position change of the ***,the audio frequency response(AFR)of several frequency points is utilized as a device *** device signature has the features as follows.(1)Hardware Signature:different pairs of speaker and microphone have different signatures;(2)Distance Signature:in the same direction,the signatures are different at different distances;and(3)Direction Signature:at the same distance,the signatures are different in different *** on the features above,amovement detection algorithmfor device identification and location distinction is ***,a secure co.munication protoco. is also proposed by using traditional cryptographic techniques to provide integrity,authentication,and non-repudiation in the process of information interaction between devices,Access Points(APs),and *** experiments are co.ducted to evaluate the performance of the proposed *** experimental results show that the proposedmethod has a good performance in accuracy and energy co.sumption.

关键词： Aco.stic hardware fingerprinting device management IoT location distinction

Simulation of fire emergency evacuation in a large-passenger-flow subway station based on the on-site measured data of Shenzhen Metro

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Transportation Safety and Environment 2024年第1期6卷 47-55页

作者： Hua Chen Chenyang Zhang Jieyu Zhang Ya Shu Xinjian Qi Chaozhe Jiang Sichuan FAST Fire Safety Assessment co. LTD.Chengdu 610036SichuanChina School of Transportation and Logistics Southwest Jiaotong UniversityChengdu 611756SichuanChina Sichuan Fire Research Institute of MEM Chengdu 610036SichuanChina Shenzhen Metro group co. LTD.Shenzhen 518026GuangdongChina

Because of its large capacity,high efficiency and energy savings,the subway has gradually beco.e the primary mode of transportation for citizens.A high density of passengers exists within a large-passenger-flow subway station,and the number of casualties and injuries during a fire emergency is *** this paper,Pathfinder software and on-site measured data of Pingzhou station in Shenzhen(China)were utilized to simulate a fire emergency evacuation in a large-passenger-flow subway *** Required Safe Egress Time(RSET),number of passengers and flow rates of stairs and escalators were analysed for three fire evacuation scenarios:train fire,platform fire and hall *** evacuation time of the train fire,which was 1173 s,was the longest,and 3621 occupants needed to evacuate when the train was fully *** co.ld not co.plete the evacuation within 6 mins in all three fire evacuation scenarios,which does not meet the current standard requirements and *** changing the number of passengers and the number of stairs for evacuation,the flow rate capacity and evacuation time were explored,which have reference values for safety management and emergency evacuation plan optimization during peak hours of subway operation.

关键词： fire emergency evacuation large-passenger-flow subway station on-site measured data Pathfinder

Impact Damage Testing Study of Shanxi-Beijing Natural Gas Pipeline Based on Decision Tree Rotary Tiller Operation

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Structural Durability & Health Monitoring 2024年第5期18卷 683-706页

作者： Liqiong Chen Kai Zhang Song Yang Duo Xu Weihe Huang Hongxuan Hu Haonan Liu School of Petroleum and Natural Gas Engineering Southwest Petroleum UniversityChengdu610500China National Pipe Network group Southwest Pipeline co. Chengdu610500China

The North China Plain and the agricultural region are crossed by the Shanxi-Beijing natural gas ***-dents in the area use rototillers for planting and harvesting;however,the depth of the rototillers into the ground is greater than the depth of the pipeline,posing a signiﬁcant threat to the safe operation of the ***,it is of great signiﬁcance to study the dynamic response of rotary tillers impacting pipelines to ensure the safe opera-tion of *** article focuses on the Shanxi-Beijing natural gas pipeline,utilizingﬁnite element simulation software to establish aﬁnite element model for the interaction among the machinery,pipeline,and soil,and ana-lyzing the dynamic response of the *** the same time,a decision tree model is introduced to classify the damage of pipelines under different working co.ditions,and the boundary value and importance of each inﬂuen-cing factor on pipeline damage are *** the actual co.ditions in the hemp yam planting area,targeted management measures have been proposed to ensure the operational safety of the Shanxi-Beijing natural gas pipeline in this region.

关键词： Natural gas pipeline rotary tiller operation third-party damage ﬁnite element simulation decision tree model safety management

A process-oriented approach for identifying potential landslides co.sidering time-dependent behaviors beyond geomorphological features

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Journal of Rock Mechanics and Geotechnical Engineering 2024年第3期16卷 961-978页

作者： Xiang Sun Guoqing Chen Xing Yang Zhengxuan Xu Jingxi Yang Zhiheng Lin Yunpeng Liu State Key Laboratory of Geohazard Prevention and Geoenvironment Protection Chengdu University of TechnologyChengdu610059China China Railway Eryuan Engineering group co.Ltd. Chengdu610031China Power China chengdu Engineering co.Ltd. Chengdu610072China

Geomorphological features are co.monly used to identify potential ***,overemphasis on these features co.ld lead to *** research proposes a process-oriented approach for potential landslide identification that co.siders time-dependent *** method integrates co.prehensive remote sensing and geological analysis to qualitatively assess slope stability,and employs numerical analysis to quantitatively calculate aging ***,a time-dependent stability calculation method for anticlinal slopes is developed and implemented in discrete element software,inco.porating time-dependent mechanical and strength reduction *** co.sidering the time-dependent evolution of slopes,this method highlights the importance of both geomorphological features and time-dependent behaviors in landslide *** method has been applied to the Jiarishan slope(JRS)on the Qinghai-Tibet Plateau as a case *** results show that the JRS,despite having landslide geomorphology,is a stable slope,highlighting the risk of misjudgment when relying solely on geomorphological *** work provides insights into the geomorphological characterization and evolution history of the JRS and offers valuable guidance for studying slopes with similar landslide ***,the process-oriented method inco.porating timedependent evolution provides a means to evaluate potential landslides,reducing misjudgment due to excessive reliance on geomorphological features.

关键词： Geomorphological features Evolution history Time-dependent stability calculation Landslides identification Qinghai-Tibet Plateau

NFHP-RN:AMethod of Few-Shot Network Attack Detection Based on the Network Flow Holographic Picture-ResNet

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co.puter Modeling in Engineering & Sciences 2024年第7期140卷 929-955页

作者： Tao Yi Xingshu Chen Mingdong Yang Qindong Li Yi Zhu School of Cyber Science and Engineering Sichuan UniversityChengdu610065China CyberScience Research Institute Sichuan UniversityChengdu610065China chengdu Fengwei Technology co. Ltd.Chengdu610041China

Due to the rapid evolution of Advanced Persistent Threats(APTs)attacks,the emergence of new and rare attack samples,and even those never seen before,make it challenging for traditional rule-based detection methods to extract universal rules for effective *** the progress in techniques such as transfer learning and meta-learning,few-shot network attack detection has ***,challenges in few-shot network attack detection arise from the inability of time sequence flow features to adapt to the fixed length input requirement of deep learning,difficulties in capturing rich information from original flow in the case of insufficient samples,and the challenge of high-level abstract *** address these challenges,a few-shot network attack detection based on NFHP(Network Flow Holographic Picture)-RN(ResNet)is ***,leveraging inherent properties of images such as translation invariance,rotation invariance,scale invariance,and illumination invariance,network attack traffic features and co.textual relationships are intuitively represented in *** addition,an improved RN network model is employed for high-level abstract feature extraction,ensuring that the extracted high-level abstract features maintain the detailed characteristics of the original traffic behavior,regardless of changes in background ***,a meta-learning model based on the self-attention mechanism is co.structed,achieving the detection of novel APT few-shot network attacks through the empirical generalization of high-level abstract feature representations of known-class network attack *** results demonstrate that the proposed method can learn high-level abstract features of network attacks across different traffic detail *** state-of-the-artmethods,it achieves favorable accuracy,precision,recall,and F1 sco.es for the identification of unknown-class network attacks through cross-validation onmultiple datasets.

关键词： APT attacks spatial pyramid pooling NFHP(network flow holo-graphic picture) ResNet self-attention mechanism meta-learning

Metochalco.e induces senescence-associated secretory phenotype via JAK2/STAT3 pathway in breast cancer

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Onco.ogy Research 2024年第5期32卷 943-953页

作者： JIANBO ZHOU FENG WAN BIN XIAO XIN LI CHENG PENG FU PENG Department of Pharmaco.ogy West China School of PharmacySichuan UniversityChengduChina State Key Laboratory of Southwestern Chinese Medicine Resources Chengdu University of Traditional Chinese MedicineChengduChina Key Laboratory of Drug-Targeting and Drug Delivery System of the Education Ministry Sichuan Engineering Laboratory for Plant-Sourced Drug and Sichuan Research Center for Drug Precision Industrial TechnologySichuan UniversityChengduChina chengdu No.1 Pharmaceutical co. Ltd.PengzhouChina chengdu Push Bio-Technology co. Ltd.ChengduChina

Breast and lung cancers are the leading causes of mortality and most frequently diagnosed cancers in women and men,respectively,*** the antitumor activity of chalco.es has been extensively studied,the molecular mechanisms of isoliquiritigenin analog 2',4',4-trihydroxychalco.e(metochalco.e;TEC)against carcinomas remain less well *** this study,we found that TEC inhibited cell proliferation of breast cancer BT549 cells and lung cancer A549 cells in a co.centration-dependent *** induced cell cycle arrest in the S-phase,cell migration inhibition in vitro,and reduced tumor growth in ***,transcriptomic analysis revealed that TEC modulated the activity of the JAK2/STAT3 and P53 *** triggered the senescence-associated secretory phenotype(SASP)by repressing the JAK2/STAT3 *** mechanism of metochalco.e against breast cancer depended on the induction of SASP via deactivation of the JAK2/STAT3 pathway,highlighting the potential of chalco.e in senescence-inducing therapy against carcinomas.

关键词： Metochalco.e Breast cancer Lung cancer SASP JAK2/STAT3

co.tinuous-Time Channel Prediction Based on Tensor Neural Ordinary Differential Equation

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China co.munications 2024年第1期21卷 163-174页

作者： Mingyao Cui Hao Jiang Yuhao Chen Yang Du Linglong Dai The Department of Electronic Engineering Tsinghua UniversityBeijing 100084China Huawei Technology co. Ltd.Chengdu Research InstituteChengdu 611730China

Channel prediction is critical to address the channel aging issue in mobile *** channel prediction techniques are mainly designed for discrete channel prediction,which can only predict the future channel in a fixed time slot per frame,while the other intra-frame channels are usually reco.ered by ***,these approaches suffer from a serious interpolation loss,especially for mobile millimeter-wave *** solve this challenging problem,we propose a tensor neural ordinary differential equation(TN-ODE)based co.tinuous-time channel prediction scheme to realize the direct prediction of intra-frame ***,inspired by the recently developed co.tinuous mapping model named neural ODE in the field of machine learning,we first utilize the neural ODE model to predict future co.tinuous-time *** improve the channel prediction accuracy and reduce co.putational co.plexity,we then propose the TN-ODE scheme to learn the structural characteristics of the high-dimensional channel by low-dimensional learnable *** results show that the proposed scheme is able to achieve higher intra-frame channel prediction accuracy than existing schemes.

关键词： channel prediction massive multipleinput-multiple-output millimeter-wave co.munications ordinary differential equation

Regression Method for Rail Fastener Tightness Based on Center-Line Projection Distance Feature and Neural Network

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Chinese Journal of Mechanical Engineering 2024年第2期37卷 356-371页

作者： Yuanhang Wang Duxin Liu Sheng Guo Yifan Wu Jing Liu Wei Li Hongjie Wang Robotics Research Center School of MechanicalElectronic and Control EngineeringBeijing Jiaotong UniversityBeijing 100044China China co.struction industrial&Energy Engineering group co. Ltd.Nanjing 210023China

In the railway system,fasteners have the functions of damping,maintaining the track distance,and adjusting the track ***,routine maintenance and inspection of fasteners are important to ensure the safe operation of track ***,assessment methods for fastener tightness include manual observation,aco.stic wave detection,and image *** are limitations such as low accuracy and efficiency,easy interference and misjudgment,and a lack of accurate,stable,and fast detection *** at the small deformation characteristics and large elastic change of fasteners from full loosening to full tightening,this study proposes high-precision surface-structured light technology for fastener detection and fastener deformation feature extraction based on the center-line projection distance and a fastener tightness regression method based on neural ***,the method uses a 3D camera to obtain a fastener point cloud and then segments the elastic rod area based on the iterative closest point algorithm *** co.ponent analysis is used to calculate the normal vector of the segmented elastic rod surface and extract the point on the centerline of the elastic *** point is projected onto the upper surface of the bolt to calculate the projection ***,the mapping relationship between the projection distance sequence and fastener tightness is established,and the influence of each parameter on the fastener tightness prediction is ***,by setting up a fastener detection scene in the track experimental base,co.lecting data,and co.pleting the algorithm verification,the results showed that the deviation between the fastener tightness regression value obtained after the algorithm processing and the actual measured value RMSE was 0.2196 mm,which significantly improved the effect co.pared with other tightness detection methods,and realized an effective fastener tightness regression.

关键词： Railway system Fasteners Tightness inspection Neural network regression 3D point cloud processing