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Activation redistribution Based Hybrid Asymmetric Quantization Method of Neural Networks

Computer Modeling in Engineering & Sciences 2024年第1期138卷 981-1000页

作者： Lu Wei Zhong Ma Chaojie Yang R&D Innovation Center Xi’an Microelectronics Technology InstituteXi’an710065China

The demand for adopting neural networks in resource-constrained embedded devices is continuously *** is one of the most promising solutions to reduce computational cost and memory storage on embedded *** order to reduce the complexity and overhead of deploying neural networks on Integeronly hardware,most current quantization methods use a symmetric quantization mapping strategy to quantize a floating-point neural network into an integer ***,although symmetric quantization has the advantage of easier implementation,it is sub-optimal for cases where the range could be skewed and not *** often comes at the cost of lower *** paper proposed an activation redistribution-based hybrid asymmetric quantizationmethod for neural *** proposedmethod takes data distribution into consideration and can resolve the contradiction between the quantization accuracy and the ease of implementation,balance the trade-off between clipping range and quantization resolution,and thus improve the accuracy of the quantized neural *** experimental results indicate that the accuracy of the proposed method is 2.02%and 5.52%higher than the traditional symmetric quantization method for classification and detection tasks,*** proposed method paves the way for computationally intensive neural network models to be deployed on devices with limited computing *** will be available on https://***/ycjcy/Hybrid-Asymmetric-Quantization.

关键词： Quantization neural network hybrid asymmetric accuracy

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6G Network Slicing Vision for Post-disaster: AI-Enabled User Prioritization and Energy Management

6G Network Slicing Vision for Post-Disaster: AI-Enabled User...

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2024 IEEE International Conference on Advanced Telecommunication and Networking Technologies, ATNT 2024

作者： Basaran, Mehmet Aktas, Semih Bilgin, Buse Next-Generation R&d Turkcell 6GEN Lab. Istanbul Turkey Turkcell & Middle East Technical University 6GEN Lab. Dept. of Computer Eng. Ankara Turkey Next-Generation R&d Turkcell Technology R&d Istanbul Turkey

ISBN: (纸本)9798350353501

This study explores the potential and practical user prioritization-based network slicing solutions to mitigate communication challenges that may arise after natural disasters due to an explosive amount of data traffic requests according to the latest earthquake experience in Turkiye from the perspective of mobile network operators. Accordingly, this study investigates the development of more robust and resilient 6G communication systems by proposing the utilization of artificial intelligence/machine learning-empowered service management and orchestration applications in open radio access network intelligent controllers in both near-real time and non-real time, ensuring vital connectivity via managing service requests intelligently and assigning network slice functions in the control plane of core network accordingly during and after earthquakes. © 2024 IEEE.

关键词： radio access networks

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High-throughput screening and evaluation of double-linker metal–organic frameworks for CO_(2)/H_(2)adsorption and separation

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Chinese Physics B 2025年第2期34卷 408-417页

作者： Ji-Long Huang Xiu-Ying Liu Hao Chen Xiao-dong Li Jing-Xin Yu School of Physics Henan University of TechnologyZhengzhou 450001China R&D Center for Advanced Energy Materials Henan University of TechnologyZhengzhou 450001China

The capture of CO_(2)from CO_(2)/H_(2)gas mixtures in syngas is a crucial issue for hydrogen production from steam methane reforming in industry,as the presence of CO_(2)directly affects the purity of H_(2).A combination of a high-throughput screening method and grand canonical Monte Carlo simulation was utilized to evaluate and screen 1725 metal–organic frameworks(MOFs)in detail as a means of determining their adsorption performance for CO_(2)/H_(2)gas *** adsorption and separation performance of double-linker MOFs was comprehensively evaluated using eight evaluation indicators,namely,the largest cavity diameter,accessible surface area,pore occupied accessible volume,porosity,adsorption selectivity,working capacity,adsorbent performance score and percent *** optimal performance frameworks were screened to further study their single-component adsorption and binary competitive adsorption of CO_(2)/H_(2)*** CO_(2)adsorption selectivity at different CO_(2)/H_(2)feed ratios was also evaluated,which indicated their excellent adsorption and separation *** microscopic adsorption mechanisms for CO_(2)and H_(2)at the molecular level were investigated by analyzing the radial distribution function and density *** study may provide directional guidance and reference for subsequent experiments on the adsorption and separation of CO_(2)/H_(2).

关键词： metal–organic framework adsorption separation high-throughput screening grand canonical Monte Carlo simulation

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Integrating molecular simulations with multilayer perceptron neural networks to predict the CH4/H2 adsorption and separation of MTV-MOFs

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International Journal of Hydrogen Energy 2025年 132卷 155-165页

作者： Xie, Yan-Yu Li, Xiao-dong Liu, Xiu-Ying Yu, Jing-Xin Wang, Jun-Fei R&D Center for Advanced Energy Materials School of Physics Henan University of Technology Zhengzhou450001 China

The secure, efficient, and cost-effective storage and separation of methane and hydrogen are crucial for their large-scale industrial applications. This work evaluates the performance of 10,995 multivariate metal-organic frameworks (MTV-MOFs) as CH4/H2 adsorption and separation media through molecular simulations and neural network modeling. Firstly, the structural parameters and CH4/H2 adsorption and separation properties of MTV-MOFs were obtained by molecular simulation, and the relationships between them were studied. The results reveal that the key structural descriptors and their optimal ranges are accessible surface area (4000–5000 m2/g), largest cavity diameter (11–14 Å), pore-limiting diameter (10–12 Å), and porosity (∼0.8). A multilayer perceptron neural networks (MLP) model was subsequently constructed to predict the CH4/H2 adsorption and separation properties based on the results of molecular simulations. The results of MLP model are not only comparable to those of traditional grand canonical Monte Carlo (GCMC) simulation, but also exhibit a significant enhancement in screening efficiency. This demonstrates the excellent generalization ability and robustness of the designed MLP model. We hope that this study will provide some theoretical references for the efficient screening of MTV-MOFs for CH4/H2 adsorption and separation applications. © 2025 Hydrogen Energy Publications LLC

关键词： Multilayer neural networks

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A new type of lipophilic hydrophobic self-repairing cellulose insulating paper developed with ST-110/FAS/PTFE ternary system as coating substrate

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High Voltage 2024年第2期9卷 474-483页

作者： Zhenglin Zeng Jinshan Qin Zuhao Wang Weimin Tan Chao Tang College of Engineering and Technology Southwest UniversityChongqingChina International R&D Center for New Technologies of Smart Grid and Equipment ChongqingChina

The moisture generated by the ageing of the oil-paper insulating system can easily lead to the deterioration of the performance of the insulating *** order to alleviate the impact of moisture on the performance of the insulating paper,we developed a kind of lipophilic hydrophobic self-repairing cellulose insulating paper(new insulating paper)based on the ternary system of polytetrafluoroethylene,fluorocarbon surfactant and fluorinated alkyl silane,and accelerated thermal ageing test for 45 days at 130°C was carried *** experimental results show that the new insulating paper with excellent lipophilic property can realise hydrophobic self-repairing through heat treatment after physical *** tensile strength and elongation at break of the new insulating paper increased by 5%–8%and 6.25%–27%respectively compared with the original cellulose insulating *** the end of ageing,the relative dielectric constant and dielectric loss factor of new insulating paper are 10.4%and 9.9%lower than that of the original cel-lulose insulating paper,while the breakdown voltage is 6.8%*** acid and moisture content produced during the ageing process of the insulating oil impregnated with new insulating paper are also less,indicating that the coating can delay the ageing of the insulating paper.

关键词： coating moisture cellulose

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Optimizing canopy-spacing configuration increases soybean yield under high planting density

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The Crop Journal 2025年第1期13卷 233-245页

作者： ruidong Li Cailong Xu Zongsheng Wu Yifan Xu Shi Sun Wenwen Song Cunxiang Wu Institute of Crop Sciences Chinese Academy of Agricultural Sciences/National soybean Industrial Technology R&D CenterBeijing 100081China

dense cropping increases crop yield but intensifies resource competition,which reduces single plant yield and limits potential yield *** canopy spacing could enhance resource utilization,support crop morphological development and increase ***,a three-year study was performed to verify the feasibility of adjusting row spacing to further enhance yield in densely planted *** three row-spacing configurations(40-40,20-40,and 20-60 cm)and two planting densities(normal 180,000 plants ha 1 and high 270,000 plants ha 1).The differences in canopy structure,plant morphological development,photosynthetic capacity and their impact on yield were *** spacing configurations have a significant effect on canopy transmittance(CT).The 20-60 cm row spacing configuration increased CT and creates a favorable canopy light environment,in which plant height is reduced,while branching is *** approach reduces plant competition,optimizes the developments of leaf area per plant,specific leaf area,leaf area development rate,leaf area duration and photosynthetic physiological indices(F_(v)/F_(m),ETr,P_(n)).The significant increase of 11.9%-34.2%in canopy apparent photosynthesis(CAP)is attributed to the significant optimization of plant growth and photosynthetic physiology through CT,an important contributing factor to yield *** yield in the 20-60 cm treatment is 4.0%higher than in equidistant planting under normal planting density,but 5.9%under high density,primarily driven by CAP and pod *** findings suggest that suitable row spacing configurations optimize the light environment for plants,promote source-sink transformation in soybeans,and further improve *** practice,a 20-60 cm row spacing configuration could be employed for high-density soybean planting to achieve a more substantial yield gain.

关键词： Soybean Planting density row-spacing configuration Canopy transmittance Yield

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Mn-doped SrCoO_(3-δ) Perovskite Oxides for Ethylene Production via Chemical Looping Oxidative dehydrogenation of Ethane

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China Petroleum Processing & Petrochemical technology 2024年第3期26卷 53-62页

作者： Li Zhi Liu Linjiao Hao daijun ren Xiaohang Shen Fangxia Li Xin Yu Anping Luoyang R&D Center of Technology of Sinopec Engineering(Group)Co.Ltd. Luoyang 471003China

Chemical looping oxidative dehydrogenation (CL-OdH) is an economically promising method for convertingethane into higher value-added ethylene utilizing lattice oxygen in redox catalysts, also known as oxygen carriers. Inthis study, perovskite-type oxide SrCoO_(3-δ) and B-site Mn ion-doped oxygen carriers (SrCo_(1-x)MnxO_(3-δ), x=0.1, 0.2, 0.3)were prepared and tested for the CL-OdH of ethane. The oxygen-deficient perovskite SrCoO_(3-δ) exhibited high ethyleneselectivity of up to 96.7% due to its unique oxygen vacancies and lattice oxygen migration rates. However, its low ethyleneyield limits its application in the CL-OdH of ethane. Mn doping promoted the reducibility of SrCoO_(3-δ) oxygen carriers,thereby improving ethane conversion and ethylene yield, as demonstrated by characterization and evaluation experiments.X-ray diffraction results confirmed the doping of Mn into the lattice of SrCoO_(3-δ), while X-ray photoelectron spectroscopy(XPS) indicated an increase in lattice oxygen ratio upon incorporation of Mn into the SrCoO_(3-δ) lattice. Additionally, H2temperature-programmed reduction (H2-TPr) tests revealed more peaks at lower temperature reduction zones and a declinein peak positions at higher temperatures. Among the four tested oxygen carriers, SrCo0.8Mn0.2O_(3-δ) exhibited satisfactoryperformance with an ethylene yield of 50% at 710 °C and good stability over 20 redox cycles. The synergistic effect of Mnplays a key role in increasing ethylene yields of SrCoO_(3-δ) oxygen carriers. Accordingly, SrCo0.8Mn0.2O_(3-δ) shows promisingpotential for the efficient production of ethylene from ethane via CL-OdH.

关键词： ethane ethylene perovskite chemical looping oxidative dehydrogenation

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5G/6G technology Capabilities designed for Secure Edge Network: Smart City Use Cases of turkcell 6

5G/6G Technology Capabilities Designed for Secure Edge Netwo...

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6th International Conference on Blockchain Computing and Applications, BCCA 2024

作者： Kalem, Gokhan Kosu, Semiha Basaran, Mehmet Next-Generation R&D Network Technologies Turkcell Technology Istanbul34854 Turkey Information and Communications Research Group Istanbul Technical University Istanbul34469 Turkey 6GEN Lab. Next-Generation R&D Network Technologies Turkcell Istanbul34854 Turkey

ISBN: (纸本)9798350351538

There is no doubt that 5G and 6G technologies coupled with secure edge network capabilities play crucial roles in the evolution of Industry 4.0 and emerging Industry 5.0. In Industry 4.0, 5G enhances smart manufacturing by enabling ultra-reliable low-latency communication (UrLLC), massive machine-type communication (mMTC), and enhanced mobile broadband (eMBB). These features support real-time monitoring, automation, edge computing, and data exchange across interconnected devices and systems to improve industrial efficiency and productivity. With Industry 5.0, which focuses on human-machine collaboration, 5G continues to be vital, but the advent of 6G will bring even greater capabilities. 6G is expected to offer a higher level of autonomy and advanced artificial intelligence integration by facilitating seamless interaction between humans, machines as well as intelligent systems via edge networking. This will enable more sophisticated applications, such as advanced robotics, virtual and augmented reality experiences, further connected driving innovations, and also the symbiosis between humans and technology, built on ubiquitous connectivity. From a leading mobile network operator perspective, in this paper, we delve into how 5G technology, empowered with secure edge networks, can transform Xr communication, vehicular communication, and also UAV-based aerial communication while enabling safer, more reliable, and more efficient systems in the smart city applications on the road to 6G. © 2024 IEEE.

关键词： Smart manufacturing

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Prediction of dissolved gas content in transformer oil based on multi-information fusion

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High Voltage 2024年第3期9卷 685-699页

作者： Tongliang Yang Yun Fang Chengming Zhang Chao Tang dong Hu College of Engineering and Technology Southwest UniversityChongqingChina International R&D Center for New Technologies of Smart Grid and Equipment Southwest UniversityChongqingChina

In order to accurately predict the content and variation trend of dissolved gas in trans-former oil and guide the condition maintenance of power transformers,a combined prediction model based on multi-information fusion is proposed and its effectiveness is *** of all,based on the possibility of pathological and missing historical sample data,a detection and filling method based on variable weight combination samples is ***,the authors propose two *** at the non-linear and non-stationary characteristics of gas content,a univariate decomposition prediction mode HBA-VMd-TCN which based on the Honey Badger algorithm,variational mode decomposition and time convolutional network(TCN)is *** the multi-variate Informer prediction model is established for gas content affected by multiple ***,the cross-entropy theory is used to determine the weight coefficients of the two models,and the multi-information fusion combined prediction model is ***,on the basis of the above,a method to determine the time step and the position information of the transition point adaptively in the process of prediction is proposed to further improve the prediction *** results show that,through a series of simulation experiments of model comparison and transformer anomaly prediction,the accuracy and effectiveness of the combined prediction model are verified.

关键词： content prediction dissolved

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development of a robust Positioning Method for Unknown radio Sources Using Satellite Constellations

Development of a Robust Positioning Method for Unknown Radio...

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2025 International Technical Meeting of The Institute of Navigation, ITM 2025

作者： Fukushima, Hirofumi Ito, Toshihiro Takabayashi, Yuki Information Technology R&D Center Mitsubishi Electric Corporation Kamakura Japan

ISBN: (纸本)9780936406404

Satellite geolocation uses the Time difference of Arrival (TdOA) derived from the difference in distance between the radio source and each satellite, and the Frequency difference of Arrival (FdOA) derived from the difference in speed in the line of sight of the satellite from the radio source. However, if the radio wave source is a radar wave source, such as pulse radar, multiple TdOAs and FdOAs are calculated, causing ambiguities in the geolocation. One way to solve this ambiguity is to equip a satellite with an array antenna and use azimuth information. However, this would increase the cost of manufacturing the satellite. Therefore, the authors previously proposed a method to solve the ambiguity and locate the target radio source without using the direction, instead using the information of signals acquired multiple times. Using this method, ambiguity can be eliminated, and the derived true target points can be extracted. However, if all the estimated points are used in the positioning process, the positioning accuracy may deteriorate owing to the relatively large dilution of Precision (dOP) of the estimated points. In this paper, we propose a method that calculates the error ellipse followed by each estimation point, and we performed the positioning process using only the estimation points that exist in the common part of the error ellipse, thereby reducing the influence of estimation points with a large dOP and enabling more robust positioning for the relationship between the satellite and unknown radio sources. © 2025 Proceedings of the International Technical Meeting of The Institute of Navigation, ITM. All rights reserved.

关键词： Time difference of arrival

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