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An improved pulse coupled neural networks model for semantic IoT

Digital Communications and Networks 2024年第3期10卷 557-567页

作者： Rong Ma Zhen Zhang Yide Ma xiping hu Edith C.H.Ngai Victor C.M.Leung School of Information Science and Engineering Lanzhou UniversityLanzhou 730000China School of Medical Technology Beijing Institute of TechnologyBeijing100081China Department of Electrical and Electronic Engineer The University of Hong KongHong Kong 999077China College of Computer Science and Software Engineering Shenzhen UniversityShenzhen 518060China Department of Electrical and Computer Engineering the University of British ColumbiaVancouverBC V6T 1Z4Canada

In recent years,the Internet of Things(IoT)has gradually developed applications such as collecting sensory data and building intelligent services,which has led to an explosion in mobile data ***,with the rapid development of artificial intelligence,semantic communication has attracted great attention as a new communication ***,for IoT devices,however,processing image information efficiently in real time is an essential task for the rapid transmission of semantic *** the increase of model parameters in deep learning methods,the model inference time in sensor devices continues to *** contrast,the Pulse Coupled Neural Network(PCNN)has fewer parameters,making it more suitable for processing real-time scene tasks such as image segmentation,which lays the foundation for real-time,effective,and accurate image ***,the parameters of PCNN are determined by trial and error,which limits its *** overcome this limitation,an Improved Pulse Coupled Neural Networks(IPCNN)model is proposed in this *** IPCNN constructs the connection between the static properties of the input image and the dynamic properties of the neurons,and all its parameters are set adaptively,which avoids the inconvenience of manual setting in traditional methods and improves the adaptability of parameters to different types of *** segmentation results demonstrate the validity and efficiency of the proposed self-adaptive parameter setting method of IPCNN on the gray images and natural images from the Matlab and Berkeley Segmentation *** IPCNN method achieves a better segmentation result without training,providing a new solution for the real-time transmission of image semantic information.

关键词： Internet of things(IoT) Semantic information Real-time application Improved pulse coupled neural network Image segmentation

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乡村振兴中精神生活共同富裕的困境与优化策略

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河南理工大学学报（社会科学版） 2024年第4期25卷 45-51页

作者：胡西萍南大伟河南理工大学马克思主义学院河南焦作454000

乡村振兴既要“塑形”也要“铸魂”,把精神生活共同富裕作为共同富裕的重要维度,是乡村振兴的灵魂所在。精神生活共同富裕对于实现乡村居民的全面发展、应对社会主要矛盾的现实变化、实现农业农村现代化的战略目标具有重要意义。然而,... 详细信息

乡村振兴既要“塑形”也要“铸魂”,把精神生活共同富裕作为共同富裕的重要维度,是乡村振兴的灵魂所在。精神生活共同富裕对于实现乡村居民的全面发展、应对社会主要矛盾的现实变化、实现农业农村现代化的战略目标具有重要意义。然而,现阶段乡村振兴中精神生活共同富裕面临着乡村居民精神生活相对贫困凸显、精神文化资源供给效能不足、基层党组织文化建设有待增强等诸多困境,解决这些困境需要从信仰铸魂、需求赋能、党建引领等方面持续发力,强化乡村居民意识形态的价值引领,激发精神文化资源的创造活力,通过增强基层党组织的文化引领力,进而不断探索乡村振兴中实现精神生活共同富裕的优化策略。

关键词：乡村振兴精神生活共同富裕

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NOMA-Based Energy-Efficient Task Scheduling in Vehicular Edge Computing Networks: A Self-Imitation Learning-Based Approach

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China Communications 2020年第11期17卷 1-11页

作者： Peiran Dong Zhaolong Ning Rong Ma Xiaojie Wang xiping hu Bin hu School of Information Science and Engineering Lanzhou UniversityLanzhou 730000China National Mobile Communications Research Laboratory Southeast UniversityNanjing 210096China School of Software Dalian University of TechnologyDalian 116620China School of Communication and Information Engineering Chongqing University of Posts and TelecommunicationsChongqing 400065China

Mobile Edge Computing(MEC)is promising to alleviate the computation and storage burdens for terminals in wireless *** huge energy consumption of MEC servers challenges the establishment of smart cities and their service time powered by rechargeable *** addition,Orthogonal Multiple Access(OMA)technique cannot utilize limited spectrum resources fully and ***,Non-Orthogonal Multiple Access(NOMA)-based energy-efficient task scheduling among MEC servers for delay-constraint mobile applications is important,especially in highly-dynamic vehicular edge computing *** various movement patterns of vehicles lead to unbalanced offloading requirements and different load pressure for MEC ***-Imitation Learning(SIL)-based Deep Reinforcement Learning(DRL)has emerged as a promising machine learning technique to break through obstacles in various research fields,especially in time-varying *** this paper,we first introduce related MEC technologies in vehicular ***,we propose an energy-efficient approach for task scheduling in vehicular edge computing networks based on DRL,with the purpose of both guaranteeing the task latency requirement for multiple users and minimizing total energy consumption of MEC *** results demonstrate that the proposed algorithm outperforms other methods.

关键词： NOMA energy-efficient scheduling vehicular edge computing imitation learning

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Detection and analysis of landslide geomorphology based on UAV vertical photogrammetry

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Journal of Mountain Science 2024年第4期21卷 1190-1214页

作者： BI Rui GAN Shu YUAN xiping LI Kun LI Raobo LUO Weidong CHEN Cheng GAO Sha hu Lin Zhu Zhifu School of Land and Resources Engineering Kunming University of Science and TechnologyKunming 650093China Plication Engineering Research Center of Spatial Information Surveying and Mapping Technology in Plateau and Mountainous Areas Set by Universities in Yunnan Province Kunming 650093China West Yunnan University of Applied Sciences Key Laboratory of Mountain Real Scene Point Cloud Data Processing and Application for Universities in Yunnan ProvinceDali 671006China

High-resolution landslide images are required for detailed geomorphological analysis in complex topographic environment with steep and vertical landslide *** study proposed a vertical route planning method for unmanned aerial vehicles(UAVs),which could achieve rapid image collection based on strictly calculated route *** effectiveness of this method was verified using a DJI Mavic 2 Pro,obtaining high-resolution landslide images within the Dongchuan debris flow gully,in the Xiaojiang River Basin,Dongchuan District,Yunnan,China.A three-dimensional(3D)model was constructed by the structure-from-motion and multi-view stereo(SfM-MVS).Micro-geomorphic features were analyzed through visual interpretation,geographic information system(GIS),spatial analysis,and mathematical statistics *** results demonstrated that the proposed method could obtain comprehensive vertical information on landslides while improving measurement *** 3D model was constructed using the vertically oriented flight route to achieve centimeter-level accuracy(horizontal accuracy better than 6 cm,elevation accuracy better than 3 cm,and relative accuracy better than 3.5 cm).The UAV technology could further help understand the micro internal spatial and structural characteristics of landslides,facilitating intuitive acquisition of surface *** slope of landslide clusters ranged from 36°to 72°,with the majority of the slope facing east and *** elevation levels were relatively consistent while middle to lower elevation levels gradually decreased from left to right with significant variations in lower elevation *** the rainy season,surface runoff was abundant,and steep topography exacerbated changes in surface *** route method is suitable for unmanned aerial vehicle(UAV)landslide surveys in complex mountainous *** geomorphological analysis methods used will provide references for identifying and describing topographic

关键词： UAV Landslide Vertical route SfM-MVS Topographic features

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Detection of QTL and QTN and candidate genes for oil content in soybean using a combination of four-way-RIL and germplasm populations

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The Crop Journal 2020年第5期8卷 802-811页

作者： Xiyu Li Kaixin Zhang Xu Sun Shanshan huang Jiajing Wang Chang Yang Mahfishan Siyal Chao Wang Chunlan Guo xiping hu Wen-Xia Li Hailong Ning Key Laboratory of Soybean Biology Ministry of Education/Key Laboratory of Soybean Biology and Breeding/GeneticsMinistry of AgricultureNortheast Agricultural UniversityHarbin 150030HeilongjiangChina Yancheng Institute of Technology Yancheng 224051JiangsuChina Key Laboratory of Crop Biotechnology Breeding of the Ministry of Agriculture Beidahuang Kenfeng Seed Co.Ltd.Harbin 150030HeilongjiangChina

Soybean is a source of edible oil for humans and provides a third of the vegetable oil consumed *** seed oil content in seeds is thus a key objective in soybean *** the present study,a four-way recombinant inbred line(FW-RIL)population comprising 144 lines,planted in 10 environments,and a germplasm panel of 455 accessions,planted in two environments,were used to collect oil-content ***,59 quantitative trait loci(QTL)were detected in the FW-RIL population by inclusive complete interval mapping on a linkage map consisting of 2232 single-nucleotide polymorphism(SNP)*** in the FW-RILs,44 quantitative trait nucleotides(QTNs)were detected by association analysis using 109,676 SNP markers and fivemethods of multi-locus genome-wide association ***,77 QTN were detected by association analysis in the germplasm panel using 63,306 *** of the QTL and QTN suggested four QTN controlling oil *** analysis was performed on genes in attenuation regions of these four QTN,and two candidate genes involved in the synthesis or metabolism of soybean oil were *** findings provide useful information about the genetics of oil content and may contribute to its genetic improvement by marker-assisted selection.

关键词： soybean germplasm planted

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合丰42号大豆优质、高产栽培技术的研究

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大豆科学 2005年第1期24卷 48-51页

作者：胡喜平黑龙江省农科院合江农科所佳木斯市154007

　利用早熟高油大豆合丰42进行三种方式栽培,结果得出:合丰42平作窄行密植,行距 30cm时,最佳密度为公顷保苗50-55万株;垄三栽培最佳密度为保苗 35 万株/hm2;穴播栽培产量和品质含量均最低,不适宜用于高油大豆合丰42栽培。合丰42优质、... 详细信息

　利用早熟高油大豆合丰42进行三种方式栽培,结果得出:合丰42平作窄行密植,行距 30cm时,最佳密度为公顷保苗50-55万株;垄三栽培最佳密度为保苗 35 万株/hm2;穴播栽培产量和品质含量均最低,不适宜用于高油大豆合丰42栽培。合丰42优质、高产栽培最佳技术为平作窄行密植,其次是垄三栽培。

关键词：高产栽培技术优质保苗平作窄行密植高油大豆最佳密度含量适宜研究

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全过程元数据驱动的实时BI基础平台研究

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图书馆学研究（应用版） 2010年第11期 10-16,63页

作者：胡细平江苏教育科学研究院图书馆

BI通过将分散在企业各系统中的数据进行整合,使得繁琐的信息获取过程变得简便易行。本平台以传统BI实现技术为基础,围绕全过程的元数据驱动策略,采用了CWM规范的元数据管理机制和数据加工处理的方法。针对数据仓库系统实施过程中的特点... 详细信息

BI通过将分散在企业各系统中的数据进行整合,使得繁琐的信息获取过程变得简便易行。本平台以传统BI实现技术为基础,围绕全过程的元数据驱动策略,采用了CWM规范的元数据管理机制和数据加工处理的方法。针对数据仓库系统实施过程中的特点,结合用户对产品功能的需求,提出实时数据处理和构建数据仓库的解决方案。平台利用全局概念格,将ETL工具、多维建模工具、多维分析工具集为一体,形成完整的具有高度柔性的BI平台。

关键词： BI CWM 数据挖掘数据仓库 ETL

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Progress of HIRFL-CSR Vacuum System

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近代物理研究所和兰州重离子加速器实验室年报：英文版 2004年第1期 145-146页

作者： Yang Xiaotian, Zhang Junhui, Meng Jun, Zhang xiping, Hou Shengjun hu Zhenjun, Zhang Xinjun, Wu huimin and Hao Bingan

In 2004, the great progress was obtained in HIRFL-CSR vacuum system. The vacuum chambers of the last part of CSRm injection beam line were installed in site, all beam diagnostic devices in the beam line were inserted in the appropriate chambers, the bake-out jackets were put on the chambers and the installation of the bake-out control system was finished, the bake-out for the beam line

关键词：兰州重离子加速器 CSRm 真空系统现场安装注入束流诊断装置控制系统光束线

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Progress of HIRFL-CSR Vacuum System

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IMP & HIRFL Annual Report 2004年 166-167页

作者： Yang Xiaotian, Zhang Junhui, Meng Jun, Zhang xiping, Hou Shengjun hu Zhenjun, Zhang Xinjun, Wu huimin and Hao Bingan

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Progress of HIRFL-CSR Vacuum System

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近代物理研究所和兰州重离子加速器实验室年报：英文版 2005年第1期 154-155页

作者： Yang Xiaotian,Zhang Junhui, Meng Jun, Zhang xiping, Hou Shengjun, hu Zhenjun Guo Dizhou, Zhang Xinjun, Wu huimin and Hao Bingan

In 2005, the installation of whole vacuum system of HIRFL-CSR was finished and the ideal pressures have been obtained. During the beam commissioning, the vacuum system of CSRm's injection beam line keeps a good condition in most of the cases. But at one time, the beam bumped against a glass view window in a 60°dipole chamber which was designed for alignment (Fig. 1). The fast valve closed when the pressure rose. Then

关键词：兰州重离子加速器真空系统 CSRm 压力上升视图窗口束流线

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