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12th IEEE Asia-Pacific Conference on Antennas and Propagation, APCAP 2024

作者： du, Hongyu Wan, Fayu ravelo, Blaise Mordachev, Vladimir Sinkevich, Eugene Zhao, Xing Nanjing University of Information Science & Technology Jiangsu Nanjing China R&d Laboratory of Emc Bsuir Minsk Belarus Key Laboratory of Silicon Device Technology Chinese Academy of Sciences Beijing China

ISBN: (纸本)9798350351019

This paper investigates the nonlinear characteristics of a 4.9 GHz GaN power amplifier and their impact on wireless communication system performance. Experimental testing of a self-developed GaN amplifier reveals key rF parameters: a linear gain of 39.9 dB, saturation power of 39 dBm, 1 dB compression point (P1dB) at 32.30 dBm, and notably, a 3 dB compression point (P3dB) at 35.40dBm and a 6 dB compression point (P6dB) at 38.17 dBm, with third-order intermodulation distortion (IMd3) exceeding 24.5 dBc at this output level. Analyzing the amplifier's nonlinearity effects through spectrum analysis, system error vector magnitude (EVM), and signal-to-noise ratio (SNr) in 64QAM modulation mode show a significant degradation of the performance of the communication system under the influence of amplifier nonlinearity. © 2024 IEEE.

关键词： Gallium nitride

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Integrated 64 pixel UV image sensor and readout in a silicon carbide CMOS technology

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Microsystems & Nanoengineering 2022年第5期8卷 207-223页

作者： Joost romijn Sten Vollebregt Luke M.Middelburg BrahimEl Mansouri Henk W.van Zeijl AlexanderMay Tobias Erlbacher Johan Leijtens Guoqi Zhang Pasqualina M.Sarro Laboratory of Electronic Components Technology and Materials(ECTM)Department of MicroelectronicsDelft University of TechnologyDelftThe Netherlands Fraunhofer Institute for Integrated Systems and Devices Technology IISB ErlangenGermany Lens R&D NoordwijkThe Netherlands

This work demonstrates the first on-chip UV optoelectronic integration in 4H-SiC CMOS,which includes an image sensor with 64 active pixels and a total of 1263 transistors on a 100mm^(2) *** reported image sensor offers serial digital,analog,and 2-bit AdC outputs and operates at 0.39 Hz with a maximum power consumption of 60μW,which are significant improvements over previous *** optoelectronics have applications in flame detection,satellites,astronomy,UV photography,and *** complexity of this optoelectronic system paves the way for new applications such harsh environment microcontrollers.

关键词： optoelectronic image carbide

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NUMErICAL SIMULATION OF IMPACT OF EJECTION SEAT rOCKET MOTOr IGNITION SHOCK WAVES ON AIrCrAFT WINdSHIELd LOAdING

NUMERICAL SIMULATION OF IMPACT OF EJECTION SEAT ROCKET MOTOR...

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2024 CSAA/IET International Conference on Aircraft Utility Systems, AUS 2024

作者： Wu, Liang Jin, Lou Xu, Hang Wu, Yibin Overall Technology R&D Department AVIC Aerospace Life-support Industries Ltd. Xianyang441000 China Aviation Key Laboratory of Science and Technology on Life-support Technology Xianyang441000 China Ejection Lifesaving Technology R&D Department AVIC Aerospace Life-support Industries Ltd. Xianyang441000 China

Aircraft windshield fragmentation during seat ejection can adversely affect crew ejection from the aircraft safety. In this paper, the shock wave loads caused by the firing of an ejection seat rocket motor were simulated numerically, and the numerical simulation flow was designed with the dynamic grid technique. The results show that the pressure peak of the inner surface monitoring point at the front end of the windshield is 9.4% lower compared with the test value at the same location when the rocket engine is firing at 0 km/h velocity ejection, which proves the numerical simulation method feasible. The effects of rocket pack ignition shock waves on the aircraft windshield can be divided into shock wave loading phase and quasistatic pressure loading phase. The former has a large peak load and a short duration, while the latter has a small peak load and a long *** corners within the cockpit, converging phenomena occur during shock wave propagation, and the area near the cabin inner wall at the front and sides of the aircraft's windshield is more heavily loaded and has a higher risk of damage than other areas. The moment of maximum windshield loading for each calculated state is the moment of the first load peak. due to the high velocity airflow blowing effect, the maximum windshield loading at 1100 km/h ejects is close to the zero velocity ejection value, acting in the opposite direction. The zero velocity ejection and impact loads at 1100 km/h eject should be emphasized in the windshield strength analysis. © The Institution of Engineering & technology 2024.

关键词： Ejection seats

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Harnessing Machine Learning based sequence prediction for Industry 4.0 applications 15

Harnessing Machine Learning based sequence prediction for In...

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15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： Kanagachidambaresan, G.r. Arun, C.A. Subashini, M. Maheswaran, S. VelTech Rangarajan Dr.Sagunthala R&d institute of Science and Technology Dept of Cse Chennai India VelTech Rangarajan Dr.Sagunthala R&d institute of Science and Technology Dept of Ece Chennai India VelTec Rangarajan Dr.Sagunthala R&d institute of Science and Technology Jrf IoT Experts System Laboratory Chennai India Kongu Engineering College Department of Electronics and Communication Engineering Perundurai India

ISBN: (纸本)9798350370249

This paper focuses on the utilization of gyro sensor data, particularly from the MPU6050 sensor, for sequence prediction and positional analysis for many Industry 4.0 application and asset monitoring. Leveraging machine learning algorithms such as random Forest, decision Trees etc., a robust classification model is developed to predict sequences of positions with notable accuracy. data collection involves capturing gyro sensor readings across distinct positions, laying the foundation for subsequent analysis. Integration with the Thingsboard platform facilitates data processing and analysis, showcasing the effectiveness of this integrated approach. Additionally, a user-friendly interface is designed for streamlined data input and visualization of prediction outcomes, enhancing accessibility and usability. The model demonstrates high accuracy in predicting sequences of positions using random Forest and decision Trees algorithms. The random Forest and decision tree approach provides higher accuracy when compared with the other algorithms. A IoT based hardware is designed in Kicad and tested to validate the ML based prediction for shop floor applications. © 2024 IEEE.

关键词： data Visualization Machine Learning MPU6050 Sensor Positional Analysis Thingsboard Platform User Interface

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SIMULATION rESEArCH ON THE PErFOrMANCE OF EJECTING INFLATION SYSTEM OF EMErGENCY EVACUATION SLIdE

SIMULATION RESEARCH ON THE PERFORMANCE OF EJECTING INFLATION...

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2024 CSAA/IET International Conference on Aircraft Utility Systems, AUS 2024

作者： Jin, Lou Liu, Qilong Wu, Liang Overall Technology R&D Department AVIC Aerospace Life-support Industries Ltd. Xianyang441000 China Emergencv Rescue Technology R&D Department AVIC Aerospace Life-support Industries Ltd. Xianyang441000 China Aviation Key Laboratory ofScience and Technology on Life-support Technology Xianyang441000 China

In this article, the CFd method is used to analyse the performance of the ejecting inflation system of the emergency evacuation slide. The simulation model is established according to the operating principle of the ejecting inflation system. Quantitative analysis of the applicability and accuracy of simulation models in the performance simulation of the ejecting inflation system is carried out, and the effects of different ejection pressures and ejection working fluid components on the system performance are simulated. The research results show that the realizable k-e model has the smallest simulation deviation, and the ejection flow rate and ejection ratio are within 5% of the experimental value, which meets the requirements of engineering development;increasing ejection pressure is beneficial to increase the ejection flow rate and speed up the inflation of the slide, but the ejection ratio will decrease when the ejection pressure pass 3.75MPa, which is not conducive to reducing the weight of the system;increasing the N2 content in the ejection gas source is beneficial to increase the ejection ratio and reduce the weight of the system while ensuring the inflation performance. The research results of this article can provide a theoretical basis for the determination of the design index of the ejecting inflation system of the emergency evacuation slide. © The Institution of Engineering & technology 2024.

关键词： Ejectors (pumps)

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Structure and allergenicity of a-lactalbumin:effects of ultrasonic prior to glycation and subsequent phosphorylation

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Food Science and Human Wellness 2023年第3期12卷 825-831页

作者： Wenmei Chen Qiongzhen Chen Houze Zhou Yanhong Shao Yang Wang Jun Liu Zongcai Tu National R&D Center for Freshwater Fish Processing College of Life ScienceJiangxi Normal UniversityNanchang 330022China State Key Laboratory of Food Science and Technology Nanchang UniversityNanchang 330047China

Bovineα-lactalbumin(BLA)induced severe cow's milk *** this study,a novel strategy combining ultrasonication,performed before glycation,and phosphorylation was proposed to reduce BLA *** showed that IgE-and IgG-binding capacities and the release rates of histamine and interleukin-6 from rBL-2 H3 were ***,intrinsic fluorescence intensity and surface hydrophobicity were decreased,whereas glycated sites(r10,N44,K79,K108,N102 and K114)and phosphorylated sites(Y36 and S112)of BLA were *** allergenicity was detected during BLA treatment after ultrasonic prior to glycation and subsequent phosphorylation because of considerable increase in glycated and phosphorylated ***,the decrease in allergenicity of BLA,the effect correlated well with the shielding effect of glycated sites combined with phosphorylated sites and the conformational *** study provides important theoretical foundations for improving and using the ultrasonic technology combined with protein modification in allergenic protein processing.

关键词： Bovineα-lactalbumin Allergenicity Ultrasonic Protein modification

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Fabrication and Characterization of dECM/PVA/GelMA Tissue-Engineered Small-diameter Blood Vessels 30th

Fabrication and Characterization of dECM/PVA/GelMA Tissue-En...

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30th International Conference on Computational and Experimental Engineering and Sciences, ICCES 2024

作者： Li, Bing Yuan, Xiaojuan Xiao, Boren du, Zhihua Chen, Junjie Li, Changliu Li, Xiangqin Liu, Tianqing Song, Kedong State Key Laboratory of Fine Chemicals Dalian R&D Center for Stem Cell and Tissue Engineering Dalian University of Technology Dalian116024 China

ISBN: (纸本)9783031687747

Vascular disease is a disease with high lethality, and the development of small-diameter tissue-engineered blood vessels (less than 6 mm in diameter) capable of replacing autologous damaged blood vessels is of great importance. In this study, we first prepared decellularized vascular matrix (dECM), a material that removes immunogenicity and retains active ingredients required for cell growth. Next, methacrylated gelatin (GelMA) was prepared by grafting methacrylic anhydride on gelatin according to a previous method, and a pre-gel solution was prepared by blending it with the polymer polyvinyl alcohol (PVA) and dECM. An isometric combination mold was designed by 3d modeling software, and the pregel solution was infused into the mold, and double cross-linked hydrogel tubes were prepared after repeated freeze-thaw and UV cross-linking and demolding. The results showed that dECM removed most of the dNA but retained a certain amount of active ingredients, such as collagen and glycosaminoglycans. The porous structure of the hydrogels was suitable for cell growth and had suitable mechanical properties. Cellular experiments also demonstrated that the dECM/PVA/GelMA hydrogels had good cytocompatibility and adhesion. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Tissue

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dynamic Location Method for Shallow Ocean Bottom Nodes Using the Levenberg-Marquart Algorithm

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Journal of Ocean University of China 2024年第4期23卷 953-960页

作者： TONG Siyou LI Junjie XU Xiugang FANG Yunfen WANG Zhongcheng Key Laboratory of Submarine Geosciences and Prospecting Techniques MOEOcean University of ChinaQingdao 266100China Laboratory for Marine Mineral Resources Qingdao Marine Science and Technology CenterQingdao 266237China R&D Center of BGP CNPCZhuozhou 072751China Insitute of Shengli Oilfield SINOPECDongying 257022China

Ocean bottom node(OBN)data acquisition is the main development direction of marine seismic exploration;it is widely promoted,especially in shallow sea ***,the OBN receivers may move several times because they are easily affected by tides,currents,and other factors in the shallow sea environment during long-term *** uncorrected,then the imaging quality of subsequent processing will be *** conventional secondary positioning does not consider the case of multiple movements of the receivers,and the accuracy of secondary positioning is *** first arrival wave of OBN seismic data in shallow ocean mainly comprises refracted *** this study,a nonlinear model is established in accordance with the propagation mechanism of a refracted wave and its relationship with the time interval curve to realize the accurate location of multiple receiver *** addition,the Levenberg-Marquart algorithm is used to reduce the influence of the first arrival pickup error and to automatically detect the receiver movements,identifying the accurate dynamic relocation of the *** simulation and field data show that the proposed method can realize the dynamic location of multiple receiver movements,thereby improving the accuracy of seismic imaging and achieving high practical value.

关键词： OBN dynamic location method Levenberg-Marquart algorithm seismic exploration of shallow sea

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Preparation and Characterization of 3d Printed dECM/GelMA/NC/SA Tissue Engineered Hybrid Scaffold 30th

Preparation and Characterization of 3D Printed dECM/GelMA/NC...

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30th International Conference on Computational and Experimental Engineering and Sciences, ICCES 2024

作者： Shu, Yan Ye, Jinmeng Tang, Yuanyuan Fu, Tianlin Xing, Bao Liu, Ke Li, Jie Li, Xiangqin Song, Kedong State Key Laboratory of Fine Chemicals Dalian R&D Center for Stem Cell and Tissue Engineering Dalian University of Technology Dalian116024 China

ISBN: (纸本)9783031687747

At present, in vitro colorectal tumor model has received extensive attention. Among them, decellular matrix (dECM) is widely used in the preparation of tissue engineering scaffolds due to its excellent biocompatibility, low immunity and natural three-dimensional structure. Among them, there are abundant capillaries and lymphatic capillaries in the villi of the fold on the inner surface of the small intestine of pigs, which is conducive to the absorption of nutrients. In this experiment, physical, chemical and biological enzyme methods were combined to decellularize pig small intestine to obtain dECM. SEM and histochemical staining proved that the microstructure of the tissue was not destroyed and the cells were effectively removed after decellularization. Two kinds of hydrogel scaffolds were prepared by 3d extrusion bioprinting using dECM, methacrylated gelatin (GelMA), sodium alginate (SA) and nano-clay (NC). The mechanical properties, microstructure and biocompatibility of scaffolds were characterized. The results showed that dECM can reduce the pore size of the scaffold, improve the mechanical strength of the scaffold, and facilitate cell adhesion, growth, proliferation, migration and aggregation. dECM/GelMA/SA/NC scaffold is expected to provide a promising platform for the construction of colorectal tumor models in vitro. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Tumors

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Washing Machine's Working States recognition Based on Audio Fusion Feature 7

Washing Machine's Working States Recognition Based on Audio ...

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7th International Conference on Advanced Algorithms and Control Engineering, ICAACE 2024

作者： Xu, Siqiang Gao, Cuiyun Zhao, Yang Wu, Zengyuan du, Fei Wang, Hongqiang Anhui Jianzhu University Power Quality Analysis And Load Detection Technology Laboratory Hefei China Corporation Global R&d Center Hefei China

ISBN: (纸本)9798350361445

In order to effectively determine the normal working status of smart home appliances, this paper realizes the recognition of washing machine's working states based on audio signals of microphone array (6 sensors). The paper proposes a fusion classification method combining optimizing STFT features and LSTM, and compares multi-channel feature fusion and voting classification methods. determine the relatively optimal frequency resolution feature by changing the frequency resolution of STFT. The multi-channel feature fusion classification method is to concatenate the features of six different channels, input them into the LSTM network model for training, and obtain a comprehensive LSTM classifier. Voting fusion classification method: Train a LSTM network model independently for each channel's feature, and obtain 6 corresponding LSTM sub-classifiers, and then vote for the predicted classes of 6 channels corresponding to the same sample to obtain the fusion classification result. A vertical axis washing machine is taken to verify the proposed method, the experiment results show that both fusion classification methods have better performance than single channel methods. Compared with the multi-channel feature fusion method, the recognition rate of the multi-channel feature fusion method is slightly higher than that of the voting classification method, with a maximum of 99.7%. © 2024 IEEE.

关键词： Classification (of information)

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