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Yosetsu Gakkai Ronbunshu/Quarterly Journal of the Japan Welding Society 2023年第3期41卷 133-140页

作者： Serizawa, Hisashi Inose, Kotaro Ohashi, Ryoji Sugimoto, Yukihiro Minoda, Tadashi Murakami, Toshio Joining and Welding Research Institute Osaka University Japan Corporate Research & Development IHI Corporation Japan Corporate Technology Division Kawasaki Heavy Industries Ltd Japan Graduate School of Advanced Science and Engineering Hiroshima University Japan Research & Development Division UACJ Corporation Japan Technical Development Group Kobe Steel Ltd Japan

A data-base of the advanced multi-material joint performance has to be prepared for designing a future multi-material car body in order to select both the advanced materials and the joining methods appropriately. In this research, as one of the most important joint performances, the tensile fatigue properties of dissimilar lap joints were studied. Various advanced multi-material dissimilar lap joint using an ultra-high strength steel (UHHS), a carbon fiber reinforced thermo-plastic (CFRTP) and an aluminum alloy of A5083P-O were fabricated by the resistance spot welding (RSW), refill friction stir spot welding (RFSSW), friction stir spot welding (FSSW) and laser irradiation assistance plastic welding (LIAPW). Regardless of the types of dissimilar materials, it is found that the number of cycle achieving to the fracture decreases almost monotonically with increasing the applied load. In addition, the shear fatigue properties of UHHS & A5083P-O joint joined by RFSSW is found to be similar to that of aluminum alloy joint joined by RSW. Moreover, the fatigue properties of UHHS & CFRTP and A5083P-O & CFRTP joints made by FSSW are revealed to be governed by the interfacial strength between the metals and CFRTP and to be predicted by the tensile shear strength of the dissimilar lap joint. © 2023 Japan Welding Society. All rights reserved.

关键词： Aluminum alloys

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Robust intrusion detection for network communication on the Internet of Things: a hybrid machine learning approach

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Cluster Computing 2024年第7期27卷 9975-9991页

作者： Soltani, Nasim Rahmani, Amir Masoud Bohlouli, Mahdi Hosseinzadeh, Mehdi Department of Computer Engineering Science and Research Branch Islamic Azad University Tehran Iran Future Technology Research Center National Yunlin University of Science and Technology Yunlin Douliu Taiwan Research and Innovation Department Petanux GmbH Bonn Germany Institute of Research and Development Duy Tan University Da Nang Viet Nam Department of Computer Science University of Human Development Sulaymaniyah Iraq

The importance and growth of the Internet of Things (IoT) in computer networks and applications have been increasing. Additionally, many of these applications generate large volumes of data, which are critical and require protection against attacks. Various techniques have been proposed to identify and counteract these threats. In this paper, we offer a hybrid machine learning approach (using the k-nearest neighbors and random forests as supervised classifiers) to enhance the accuracy of intrusion detection systems and minimize the risk of potential attacks. Also, we employ backward elimination and linear discriminant analysis algorithms for feature reduction and to lower computational costs. Following the training phase, when discrepancies arose between the decisions of the classifiers, the ultimate determination was supported by ISO/IEC 27001 regulations. The performance of the proposed model was assessed within a Python programming framework, utilizing the CICIDS 2017, NSL-KDD, and TON-IoT datasets. The outcomes illustrated that the proposed approach attained a noteworthy accuracy of 99.96% in the multi-class classification of CICIDS 2017, 99.37% in the binary classification of the NSL-KDD dataset, and 99.96% in the multi-class classification of TON-IoT dataset. Furthermore, the attack success rate for each dataset stands at 0.05%, 0.24%, and 0% respectively, demonstrating a significant reduction compared to other methods. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.

关键词： Intrusion detection

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Automatic fusion method for perceptual data of internet of things based on Kalman filter

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International Journal of Reasoning-based Intelligent Systems 2024年第6期16卷 427-436页

作者： Gao, Andi Guo, Xiaojing Liu, Ketong Meng, Kuntai Department of Information Engineering Hebei Institute of Mechanical and Electrical Technology Xingtai054000 China Intelligent Sensor Network Application Technology Research and Development Center Xingtai054000 China

Due to the low fusion accuracy of traditional internet of things (IoT) sensing data automatic fusion methods, an automatic fusion method of IoT sensing data based on Kalman filter is proposed. Firstly, we adopt the error correction mechanism and time registration to deal with the structure deviation of the IoT sensing data and the asynchronous problem of the IoT sensing data. Then, the Kalman filtering algorithm is used to fuse the time data and space data at the terminal node and gateway layer. Finally, the Kalman filtering algorithm is optimised by using the distribution diagram method to determine the abnormal or missing data in the fused data, so as to obtain the optimised data automatic fusion results. The test results show that the precision of this method for automatic fusion of IoT sensing data is above 94%, and the fusion effect is good. Copyright © 2024 Inderscience Enterprises Ltd.

关键词： Wiener filtering

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Experimental analysis of matrix moveable oil saturation in tight sandstone reservoirs of the south Ordos Basin,China

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Energy Geoscience 2024年第1期5卷 184-195页

作者： Ting Xu Jun Pu Xuejie Qin Yi Wei Science and Technology Development Department Petroleum Exploration&Production Research InstituteSINOPECBeijing100083China Center Research Department of North China Petroleum Exploration&Production Research Institute SINOPECBeijing100083China Oil Field Development Department Petroleum Exploration&Production Research InstituteSINOPECBeijing100083China

Tight oil reservoirs in the south Ordos Basin are characterized by fractured,heterogeneous oil-bearing strata(an oil saturation of less than 55%on average),normal pressure(0.8±)and extra-low permeability(less than 0.3 mD).In the Chang 8 tight sandstone reservoir in Honghe oilfield,micro-and nanopores,especially those with a pore-throat radius of less than 1 mm,account for more than 90%.Fluid flow in the matrix is non-linear and crude oil flow rates are very low under normal pressure *** improved understanding of oil mobility in a tight matrix is key to further development of normalpressure tight-oil resources in the continental *** this study,constant-velocity and high-pressure mercury injection experiments were conducted using samples of typical tight sandstone cores obtained from the south of Ordos Basin.A new method for reconstructing the full-scale pore-throat distribution characteristics of tight sandstone reservoirs was established successfully,based on which multistage centrifugal tests,tests of low-pressure differential displacement of oil by water,and nuclear magnetic resonance tests were conducted in order to obtain the distribution characteristics of moveable fluid in different *** moveable oil saturation(MOS)and degree of oil recovery(*** of accumulative oil production to producing geologic reserves)of the core samples under different differential pressures for displacement were *** for the tight oil reservoirs in the south Ordos Basin,the moveable fluids are mainly stored in sub-micron(0.10-0.5 mm)*** Type I reservoirs(k>0.1 mD),the volume percentage of moveable fluid in pores with a radius larger than 0.5 mm is relatively high(greater than 40%).The degree of oil recovery of water flooding serves as the basis for forecasting recoverable reserves for tight oil *** reserves under water flooding,mainly occur in pores with a radius greater than 0.5 *** contribution of Type I reserves to oil pro

关键词： Tight reservoir Pore-throat structure Moveable fluid volume Moveable oil saturation(MOS) Waterflooding oil recovery South Ordos basin

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DM Code Key Point Detection Algorithm Based on CenterNet

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Computers, Materials & Continua 2023年第11期77卷 1911-1928页

作者： Wei Wang Xinyao Tang Kai Zhou Chunhui Zhao Changfa Liu School of Information Engineering Chang’an UniversityXi’an710018China Algorithm Research and Development Department GRGBanking Equipment Co.Ltd.Guangzhou510663China Research and Development Department Xi’an Soar Electromechanical TechnologyLtd.Xi’an710043China

Data Matrix(DM)codes have been widely used in industrial *** reading of DM code usually includes positioning and *** positioning is a prerequisite for successful *** image processing methods have poor adaptability to pollution and complex *** deep learning-based methods can automatically extract features,the bounding boxes cannot entirely fit the contour of the *** image processing methods are required for precise positioning,which will reduce *** of the above problems,a CenterNet-based DM code key point detection network is proposed,which can directly obtain the four key points of the DM *** with the existing methods,the degree of fitness is higher,which is conducive to direct *** further improve the positioning accuracy,an enhanced loss function is designed,including DM code key point heatmap loss,standard DM code projection loss,and polygon Intersection-over-Union(IoU)loss,which is beneficial for the network to learn the spatial geometric characteristics of DM *** experiment is carried out on the self-made DM code key point detection dataset,including pollution,complex background,small objects,etc.,which uses the Average Precision(AP)of the common object detection metric as the evaluation *** reaches 95.80%,and Frames Per Second(FPS)gets 88.12 on the test set of the proposed dataset,which can achieve real-time performance in practical applications.

关键词： DM code key point detection CenterNet object detection enhanced loss function

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A new local resonance metamaterial for flat and cylindrical structures depended on elastic chiral spiral beams

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Science China(Technological Sciences) 2024年第11期67卷 3597-3611页

作者： LIU Jing ZENG Tan NI HengTai HOU YingYing PAN Guang School of Marine Science and Technology Northwestern Polytechnical UniversityXi’an 710072China Research&Development Institute of Northwestern Polytechnical University in Shenzhen Northwestern Polytechnical UniversityShenzhen 518063China

In practical engineering structures,complex low-frequency vibrations are often ***,most reported elastic metamaterials are designed for high-frequency ranges or rely on substantial additional mass to control low-frequency vibrations,making them difficult to apply in real-world engineering *** address this limitation,we propose a homogeneous locally resonance metamaterial with tunable low-frequency *** design overcomes the challenges associated with conventional local resonators,which are often large and heavy,making them impractical for engineering *** integrating resonator structures composed of elastic chiral spiral beams and mass blocks onto the supporting structure,we achieve lowfrequency vibration control within limited spaces,broadband absorption with gradient parameter units,and vibration control under different *** effectiveness of the proposed design is validated through comparative computational methods,dispersion curve calculations,frequency response simulations,and experimental *** study proposes a novel LRM structure with a full bandgap from 96.9 to 124 *** transmittance is negative in most of the band gap range,which has been verified through numerical and experimental *** approach effectively meets the complex low-frequency vibration control requirements of various curved structures in engineering applications,providing a viable solution for low-frequency vibration control of structures such as flat and cylindrical shells.

关键词： local resonance metamaterial chiral spiral elastic beams flat structures cylindrical structures low-frequency vibrations

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Phase Transitions and Seepage Characteristics during the Depletion development of Deep Condensate Gas Reservoirs

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Energy Engineering 2024年第10期121卷 2797-2823页

作者： Qiang Liu Rujun Wang Yintao Zhang Chong Sun Meichun Yang Yuliang Su Wendong Wang Ying Shi Zheng Chen Exploration and Development Technology Research and Development Center of Ultra-Deep Complex Oil and Gas Reservoirs Petro China Tarim Oilfield CompanyKorla841000China School of Petroleum Engineering China University of Petroleum(East China)Qingdao266580China

Deep condensate gas reservoirs exhibit highly complex and variable phase behaviors,making it crucial to understand the relationship between fluid phase states and flow *** study conducts a comprehensive analysis of the actual production process of the deep condensate gas well A1 in a certain oilfield in *** phase behavior analysis and CMG software simulations,the study systematically investigates phase transitions,viscosity,and density changes in the gas and liquid phases under different pressure conditions,with a reservoir temperature of 165°*** research covers three crucial depletion stages of the reservoir:single-phase flow,two-phase transition,and two-phase *** findings indicate that retrograde condensation occurs when the pressure falls below the dew point pressure,reachingmaximum condensate liquid production at around *** pressure decreases,gas phase density and viscosity gradually decrease,while liquid phase density and viscosity show an increasing *** the initial single-phase flow stage,maintaining a consistent gas-oil ratio is observed when both bottom-hole and reservoir pressures are higher than the dew point ***,a sudden drop in bottom-hole pressure below the dew point triggers the production of condensate oil,significantly reducing subsequent gas and oil *** the transitional two-phase flow stage,as the bottom-hole pressure further decreases,the reservoir exhibits a complex flow regime with coexisting areas of gas and *** the subsequent two-phase flow stage,when both bottom-hole and reservoir pressures are below the dew point pressure,a significant increase in the gas-oil ratio is *** reservoir manifests a two-phase flow regime,devoid of single-phase gas flow *** lowpressure conditions in deep condensate gas reservoirs,considerations include gas injection,gas lift,and cyclic gas injection and production in surrounding ***,techniques such as hot nitrogen or CO

关键词： Deep condensate gas reservoirs depletion development phase behavior percolation laws dynamic production analysis

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Influence of nitrogen-doped carbon quantum dots on titanium dioxide for photovoltaic applications: optical and structural insight

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Materials research Innovations 2024年第2期28卷 106-119页

作者： Achem, Christopher U. Onimisi, Muhammad Y. Danladi, Eli David, Ikpaya Babatunde, Rabiu A. Centre for Satellite Technology Development-NASRDA Abuja Nigeria Department of Physics Nigerian Defence Academy Kaduna Nigeria Department of Physics Federal University of Health Sciences Benue Otukpo Nigeria National Space Research & Development Agency Abuja Nigeria Centre for Atmospheric Research Kogi Anyingba Nigeria

This study investigates the optical and structural properties of nitrogen-doped Carbon Quantum Dots (NCQDs) on Titanium dioxide (TiO2). We synthesized the NCQDs via direct pyrolysis using varying amount of nitrogen precursor. We used a UV-visible, Fluorescence and Fourier Transform Infrared spectrophotometer, X-ray diffractometer (XRD), and Scanning Electron Microscope (SEM) to probe the samples. The introduction of nitrogen enhanced the intrinsic activities and electron dynamics of the CQD films, leading to improved confinement, charge extraction, and light harvesting. The optical response of the NCQDs strongly hinged on the nitrogen doping content. Sensitizing different amounts of NCQDs on TiO2 surface reduced their bandgap energies. XRD analysis confirms the preservation of the TiO2 anatase phase nanoparticle after the introduction of NCQDs, with no substantial changes to the crystal lattice and phase purity of the resulting photoanodes, indicating the presence of NCQDs on the surface. However, the deposition of NCQDs decreased the crystallite size. SEM images show well-dispersed morphologies with non-clustered NCQDs films. NCQDs can serve as promising photosensitizers in photovoltaic devices. © 2023 Informa UK Limited, trading as Taylor & Francis Group.

关键词： Titanium dioxide

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development and Application of an Online Detection Device for Well Testing Steel Wire 13th

Development and Application of an Online Detection Device fo...

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13th International Field Exploration and development Conference, IFEDC 2023

作者： Tan, Jian Li, Guo Yang, Jian Wang, Ke Tang, Guang-Hua Wen, Shu-Jiang Engineering Technology Research Institute of CNPC Southwest Oil and Gas Field Branch Chengdu China National Energy High Sulfur Development Research and Development Center Chengdu China

ISBN: (纸本)9789819702596

At present, there are not all testing methods for well testing steel wire. Non magnetic well testing steel wire can only be used to determine the mechanical properties of the steel wire by cutting the front end of the wire and conducting tensile and torsional performance experiments. The damage of the entire disc can be judged through visual observation, which is different from the actual use of the well testing steel wire and cannot fully reflect the changes in the well testing steel wire, resulting in safety hazards in wire operation. In response to the above issues, an online detection device for well testing steel wire has been developed, which consists of four parts: a cleaning system, a detection system, a marking system, and a control system. The cleaning system completes surface dirt cleaning without damaging the steel wire, ensuring that there are no attachments on the surface of the steel wire, and preventing detection misjudgment;The detection system is mainly composed of three profilers, which use laser scanning technology and center positioning algorithm to determine the center of the circle in real-time, calculate the diameter of the well testing steel wire and the size of surface defects. The operation speed is within 30 m/min, and can detect various types of well testing steel wires with a diameter of 2 mm−5 mm, with a detection accuracy of no more than 0.05 mm;The marking system marks the abnormal parts detected for secondary diagnosis. At the same time, the overall device is lightweight and easy to carry, with simple installation and operation. It can be directly stuck on the testing steel wire, and can be detected from any section of the testing steel wire, without being affected by the shaking of the steel wire during the operation process. It achieves real-time online detection on the job site, enabling steel wire operators to timely grasp the overall performance of the steel wire, providing strong safety guarantees for steel wire operations. ©

关键词： Well testing

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HRRP Target Recognition Based on Modified Gradient Boosting Decision Tree 2

HRRP Target Recognition Based on Modified Gradient Boosting ...

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2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024

作者： Yu, Zhenlin Liu, Shengqi Wang, Wei Wang, Dong Wu, Zhongjie Hu, Yuhao Xi'an Electronic Engineering Research Institute Research and Development Department Changsha China National University of Defense Technology College of Electronic Science and Technology Changsha China Xi'an Electronic Engineering Research Institute Research and Development Department Xi'an China

ISBN: (纸本)9798331515669

Focused on radar automatic target recognition in open set environment, Extreme Value Theory (EVT) is introduced to modify Gradient Boosted Decision Trees (GBDT). We mark the method as Open Set Gradient Boosted Decision Trees (OSGBDT) in the paper. OSGBDT is structured with two steps. First, EVT is utilized to model the distances distribution among samples across features. Positive samples with closely spaced intervals are grouped into the same leaf node during decision tree splitting. Next, EVT is used to model the outputs of prediction models for each class. The probability that a test sample belongs to an unknown class is estimated. Experimental results based on High Resolution Range Profiles (HRRP) database demonstrate that OSGBDT outperforms state-of-the-art open set recognition methods. © 2024 IEEE.

关键词： Radar target recognition

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