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3rd IEEE International Conference on information technology, Big Data and Artificial Intelligence, ICIBA 2023

作者： Yao, Zhen Pengxi, Li Zhu, Ping Li, Wenjuan Chongqing Medical University Center for Faculty Development Chongqing China University of Electronic Science and Technology of China Information Center Sichuan China

ISBN: (纸本)9781665490788

Smarter learning plays an important role in promoting the reform of higher education and teaching. This paper first analyzes the problems of intelligent teaching in the field of medical education. On the basis of the current campus learning environment, a more systematic, comprehensive and interrelated intelligent teaching environment is constructed, and the intelligent teaching mode is explored, which provides favorable software and hardware conditions for better network teaching in medical colleges and universities in the future, and makes the intelligent teaching research in the medical field more accurate and in-depth. Teaching behavior pays more attention to the reasonable connection between theory and practice. © 2023 IEEE.

关键词： Computer aided instruction

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Photonic neuromorphic architecture for tens-of-task lifelong learning

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Light(Science & Applications) 2024年第3期13卷 519-530页

作者： Yuan Cheng Jianing Zhang Tiankuang Zhou Yuyan Wang Zhihao Xu Xiaoyun Yuan Lu Fang Sigma Laboratory Department of Electronic EngineeringTsinghua UniversityBeijing 100084China Beijing National Research Center for Information Science and Technology(BNRist) Beijing 100084China Institute for Brain and Cognitive Science Tsinghua University(THUIBCS)Beijing 100084China

Scalable,high-capacity,and low-power computing architecture is the primary assurance for increasingly manifold and large-scale machine learning *** electronic artificial agents by conventional power-hungry processors have faced the issues of energy and scaling walls,hindering them from the sustainable performance improvement and iterative multi-task *** to another modality of light,photonic computing has been progressively applied in high-efficient neuromorphic ***,we innovate a reconfigurable lifelong-learning optical neural network(L2 ONN),for highly-integrated tens-of-task machine intelligence with elaborated algorithm-hardware *** from the inherent sparsity and parallelism in massive photonic connections,L2 ONN learns each single task by adaptively activating sparse photonic neuron connections in the coherent light field,while incrementally acquiring expertise on various tasks by gradually enlarging the *** multi-task optical features are parallelly processed by multi-spectrum representations allocated with different *** evaluations on freespace and on-chip architectures confirm that for the first time,L2 ONN avoided the catastrophic forgetting issue of photonic computing,owning versatile skills on challenging tens-of-tasks(vision classification,voice recognition,medical diagnosis,etc.)with a single ***,L2 ONN achieves more than an order of magnitude higher efficiency than the representative electronic artificial neural networks,and 14×larger capacity than existing optical neural networks while maintaining competitive performance on each individual *** proposed photonic neuromorphic architecture points out a new form of lifelong learning scheme,permitting terminal/edge AI systems with light-speed efficiency and unprecedented scalability.

关键词： life neural versatile

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Power quality comprehensive evaluation method of regional distribution network based on random forest 4

Power quality comprehensive evaluation method of regional di...

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4th International Conference on New Energy and Power Engineering, ICNEPE 2024

作者： Chen, Zhenxing Zhang, Haitao Sun, Hongxiao Gao, Baoguo Tianjin Richsoft Electric Power Information Technology Co. Ltd. Research and Development Center Tianjin China Tianjin Richsoft Electric Power Information Technology Co. Ltd. Research and Product Center Tianjin China

ISBN: (纸本)9798331516086

In this paper, a comprehensive evaluation method considering both steady state and transient state indexes is proposed for power quality evaluation in regional distribution network operation. The steady-state evaluation index includes voltage deviation, frequency deviation, three-phase unbalance and harmonic distortion rate, while the transient evaluation index only includes voltage drop. The weight of the comprehensive evaluation model is composed of subjective weight and objective weight in a product weighted way, wherein the subjective weight is determined based on analytic hierarchy process, the evaluation function is established for the steady-state index in the objective weight to satisfy the Cauchy distribution, and the evaluation membership function is established for the transient index according to the voltage sag evaluation system proposed by IEEE1564-2014. The operation principle of the random forest algorithm is analyzed, and the solution flow of the comprehensive evaluation model is designed based on the random forest algorithm. Through the analysis of the operation results of the simulation algorithm, the comprehensive evaluation model provides a targeted governance guide for power quality, reduces the difficulty of power quality factor identification, and improves the efficiency of power quality governance. © 2024 IEEE.

关键词： Power distribution networks

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An Analysis of the Impact of Carbon Emission Policy on Project Economics in Australia 13th

An Analysis of the Impact of Carbon Emission Policy on Proje...

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13th International Field Exploration and development Conference, IFEDC 2023

作者： Yi, Jie-Xin Tan, Kun Cui, Hongjia Peng, Yun Li, Jia Wang, Hemin Department of Strategy and Development Planning Research Research Institute of Petroleum Exploration and Development Beijing100083 China HSE Information Center CNPC Research Institute of Safety and Environment Technology Beijing102206 China

In support of the goals of the Paris Agreement, Australia set an ambitious wide target to reduce greenhouse gas emissions by 26 to 28 percent below 2005 levels by... 详细信息

ISBN: (纸本)9789819702671

In support of the goals of the Paris Agreement, Australia set an ambitious wide target to reduce greenhouse gas emissions by 26 to 28 percent below 2005 levels by 2030. Australia issued safeguard mechanism which establishes a legislated obligation for Australia’s largest emitters to keep emissions below their baseline emissions limit. The challenges of the oil company under the safeguard mechanism are analyzed. The economic evaluation model to calculate the impact of the carbon policy on the economics of oil and gas project are put forward. Moreover, the main contribution of this study is to analyze the important factors for oil and gas emitters taking CCS technology. Finally, some suggestions for carbon policymaker are proposed to achieve the carbon reduction target. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Carbon

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On-Chip Reconfigurable Microwave Photonic Processor

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Chinese Journal of electronics 2023年第2期32卷 334-342页

作者： ZHANG Weifeng WANG Bin Radar Research Lab School of Information and Electronics Beijing Institute of Technology Key Laboratory of Electronic and Information Technology in Satellite Navigation (Beijing Institute of Technology) Ministry of Education Beijing Institute of Technology Chongqing Innovation Center Chongqing Key Laboratory of Novel Civilian Radar

Microwave photonic processors leverage the modern photonics technique to process the microwave signal in the optical domain, featuring high speed and broad bandwidth. Based on discrete optical and microwave components, different microwave photonic processors are reported. Due to the limitation of the optoelectronic components, most of the realized processors are designed to serve a specific demand. With the booming development of photonic integrated circuits(PICs), new possibilities are opened for the implementation of integrated microwave photonic processors. By using the highprecision planar fabrication process, on-chip microwave photonic processors are enabled to have unprecedently full reconfigurability to perform multiple processing *** overview regarding our recent work on reconfigurable microwave photonic processors is presented with an emphasis on silicon photonics integrated solutions.

关键词： Microwave integrated circuits Program processors Optical device fabrication Optical resonators Microwave theory and techniques Microwave circuits System-on-chip

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Spatiotemporal continuous PM2.5 concentrations inversion based on multi-source data and hybrid model 5

Spatiotemporal continuous PM2.5 concentrations inversion bas...

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5th International Conference on Geology, Mapping, and Remote Sensing, ICGMRS 2024

作者： Wang, Li Xu, Lili Li, Zhiyong Ren, Ziyu Fan, Shurui School of Electronic Information Engineering Hebei University of Technology Tianjin China Hebei Civil-Military Integration Development Promotion Center Hebei Shijiazhuang China

ISBN: (纸本)9781510681712

Air pollution affects public health, destroys ecological environment and even aggravates climate change, and PM2.5 is an important factor causing pollution. Therefore, accurate and continuous spatiotemporal PM2.5 concentration inversion is of great significance for air pollution control. Nevertheless, current high temporal resolution inversions are predominantly conducted using Top-of-atmosphere reflectance, nighttime concentration inversion cannot be realized in the visible band. Moreover, existing hybrid models often rely on linear integrated, increasing the risk of overfitting. Therefore, we propose an improved stacking model that contains XGBoost and CatBoost model, stacked by elastic net regression. By fusing features from multi-source data and accounting for spatiotemporal heterogeneity, the model enables the simultaneous inversion of daytime and nighttime PM2.5 concentrations. Compared to using Top-of-atmosphere reflectance alone, the daytime inversion results demonstrate a 1.08% increase in R2 and a reduction of 1.34µg/m3 in RMSE. Meanwhile, the nighttime inversion results show a 2.04% improvement in R2 and reduce the MAE to 9.54µg/m3 when spatiotemporal features are used. Applying the model to the Beijing-Tianjin-Hebei region enables spatiotemporal continuous inversion of PM2.5 concentrations in the region. © 2024 SPIE.

关键词： Reflection

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Influence and optimization of swirler parameters on elbow wear of deep coal fluidization pipeline transportation system

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Friction 2024年第7期12卷 1408-1433页

作者： Shaodi ZHAO Jiusheng BAO Shirong GE Zhongbin WANG Yan YIN Congguang HUANG School of Mechanical and Electrical Engineering China University of Mining and TechnologyXuzhou 221116China School of Mechanical Electronic and Information Engineering China University of Mining and Technology-BeijingBeijing 100083China Frontier Scientific Research Center for Fluided Mining of Deep Underground Resources China University of Mining and TechnologyXuzhou 221008China

Elbow wear is a major threat to the multiphase pipeline transportation industry,which has a negative impact on the stable operation of the transportation *** order to find the wear reduction methods of elbows in the fluidization pipeline transportation system for 2000-meter-deep coal resources,the swirler was installed upstream of the elbows,and wear simulations and tests of three kinds of elbows were carried *** results showed that the maximum wear rate(MWR)of elbows increased and then decreased along the elbow *** to the different directions of gravity,the heavy wear position(HWP)of the horizontal-vertical(H-V)elbow was in front of the vertical-horizontal(V-H)*** the downstream portion of the horizontal-horizontal(H-H)elbow was still a horizontal pipe,the HWP of the H-H elbow almost covered the whole *** swirler placed upstream of the elbows could make the particles at the elbow move to the intrados of the elbows,resulting in less collision between the particles and the extrados of the elbows,thus reducing the wear of the *** wear reduction effects of swirlers on three different elbows were favorably connected with the guide vane angle(GVA)and negatively correlated with the guide vane length(GVL),decreased first and then increased as the guide vane height(GVH)increased,and were little affected by the guide vane number(GVN)and the guide vane thickness(GVT).The mathematical models between the MWR of the elbows and guide vane parameters were *** bench tests,the wear reduction effect of three kinds of elbows under the optimal guide vane parameters was 58.4%,76.9%,and 78.6%,*** errors between the bench test results and the simulation results were around 10%.

关键词： pipe elbow erosion wear spiral flow swirler guide vane parameters particle collision

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Optical neural networks:progress and challenges

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Light(Science & Applications) 2024年第11期13卷 2511-2535页

作者： Tingzhao Fu Jianfa Zhang Run Sun Yuyao Huang Wei Xu Sigang Yang Zhihong Zhu Hongwei Chen College of Advanced Interdisciplinary Studies National University of Defense TechnologyChangshaChina Hunan Provincial Key Laboratory of Novel Nano-Optoelectronic Information Materials and Devices National University of Defense TechnologyChangshaChina Nanhu Laser Laboratory National University of Defense TechnologyChangshaChina Department of Electronic Engineering Tsinghua UniversityBeijingChina Beijing National Research Center for Information Science and Technology(BNRist) BeijingChina

Artificial intelligence has prevailed in all trades and professions due to the assistance of big data resources,advanced algorithms,and high-performance electronic ***,conventional computing hardware is inefficient at implementing complex tasks,in large part because the memory and processor in its computing architecture are separated,performing insufficiently in computing speed and energy *** recent years,optical neural networks(ONNs)have made a range of research progress in optical computing due to advantages such as subnanosecond latency,low heat dissipation,and high *** are in prospect to provide support regarding computing speed and energy consumption for the further development of artificial intelligence with a novel computing ***,we first introduce the design method and principle of ONNs based on various optical ***,we successively review the non-integrated ONNs consisting of volume optical components and the integrated ONNs composed of on-chip ***,we summarize and discuss the computational density,nonlinearity,scalability,and practical applications of ONNs,and comment on the challenges and perspectives of the ONNs in the future development trends.

关键词： networks neural hardware

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HDCGD-CBAM:Satellite Interference Recognition Algorithm Based on Improved CLDNN and CBAM

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China Communications 2024年第12期21卷 257-274页

作者： Duan Ruifeng Chen Ziyu Meng Wei Wang Xu Yang Guoting Cheng Peng Li Yonghui School of Information Science and Technology Beijing Forestry UniversityBeijing 100083China Engineering Research Center for Forestry-Oriented Intelligent Information Processing of National Forestry and Grassland Administration Beijing 100083China Jining Economic and Social Development Research Center Jining 272000China School of Electrical and Information Engineering the University of SydneySydneyNSW 2006Australia Department of Computer Science and Information Technology La Trobe UniversityMelbourneVIC 3086Australia

Satellite communication systems are facing serious electromagnetic interference,and interference signal recognition is a crucial foundation for targeted *** this paper,we propose a novel interference recognition algorithm called HDCGD-CBAM,which adopts the time-frequency images(TFIs)of signals to effectively extract the temporal and spectral *** the proposed method,we improve the Convolutional Long Short-Term Memory Deep Neural Network(CLDNN)in two ***,the simpler Gate Recurrent Unit(GRU)is used instead of the Long Short-Term Memory(LSTM),reducing model parameters while maintaining the recognition ***,we replace convolutional layers with hybrid dilated convolution(HDC)to expand the receptive field of feature maps,which captures the correlation of time-frequency data on a larger spatial ***,Convolutional Block Attention Module(CBAM)is introduced before and after the HDC layers to strengthen the extraction of critical features and improve the recognition *** experiment results show that the HDCGD-CBAM model significantly outper-forms existing methods in terms of recognition accuracy and *** Jamming-to-Signal Ratio(JSR)varies from-30dB to 10dB,it achieves an average accuracy of 78.7%and outperforms the CLDNN by 7.29%while reducing the Floating Point Operations(FLOPs)by 79.8%to ***,the proposed model has fewer parameters with 301k compared to several state-of-the-art methods.

关键词： attention mechanism CLDNN HDC interference recognition satellite communication

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research advance in phenotype detection robots for agriculture and forestry

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International Journal of Agricultural and Biological Engineering 2023年第1期16卷 14-25页

作者： Yuanqiao Wang Jiangchuan Fan Shuan Yu Shuangze Cai Xinyu Guo Chunjiang Zhao Beijing Key Laboratory of Digital Plant Beijing Research Center for Information Technology in AgricultureChina National Engineering Research Center for Information Technology in Agriculture(NERCITA)Beijing 100097China College of Information Engineering Northwest A&F UniversityYangling 712100ShaanxiChina Beijing PAIDE Science and Technology Development Co. Ltd.Beijing 100097China

The continuous development of robot technology has made phenotype detection robots a key for extracting and analyzing phenotyping data in agriculture and *** different applications of agricultural robots and phenotype detection robots were discussed in this ***,the structural characteristics and information interaction modes of the current phenotype detection robots were summarized from the viewpoint of agriculture and *** publications with keywords related to clustering distribution were analyzed and the currently available phenotype robots were ***,a conclusion on the design criteria and evaluation system of plant phenotype detection robots was summarized and obtained,and the challenges and future development direction were proposed,which can provide a reference for the design and applications of agriculture and forestry robots.

关键词： computer vision plant phenotype detection robot phenotyping analysis sensor evaluation system device clustering

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