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A low-power Bluetooth-based wireless sensor network and its global confliction-solving impact localization method

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Chinese Journal of Aeronautics 2024年第1期37卷 153-161页

作者： Yuanjia WANG Lei QIU Qiyun XU Liming SHI College of Aerospace Engineering Nanjing University of Aeronautics and AstronauticsNanjing 210016China department of Electrical and Electronic Engineering University of EdinburghEdinburgh EH89YLUK

During the whole service lifetime of aircraft structures with composite materials,impacts are inevitable and can usually cause severe but barely visible *** the occurrences of impact are random and unpredictable,it is a hotspot direction to develop an online impact monitoring system that can meet strict limitations of aerospace applications including small size,light weight,and low power ***(PZT)sensor,being able to generate impact response signals with no external power and cover a large-scale structure with only a small amount of them,is a promising ***,for real systems,networks with multiple nodes are normally required to monitor large-scale structures in a global way to identify any impact localization confliction,yet the existing studies are mostly evaluated with single nodes instead of ***,in this paper,based on a new low-power node designed,a Bluetooth-based digital impact monitoring PZT sensor network is proposed for the first time with its global confliction-solving impact localization *** of the system as a network are researched and analyzed on a complex real aircraft wing box for a global confliction-solving impact localization,showing a satisfying high accuracy.

关键词： Bluetooth-based low-power design Confliction-solving evaluation Complex composites Piezoelectric sensors Wireless impact monitoring network

A linkable signature scheme supporting batch verification for privacy protection in crowd-sensing

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digital Communications and Networks 2024年第3期10卷 645-654页

作者： Xu Li Gwanggil Jeon Wenshuo Wang Jindong Zhao School of Computer and Control Engineering Yantai UniversityYantai264005China department of Embedded Systems Engineering Incheon National UniversityAcademyro-119Incheon22012Republic of Korea

The maturity of 5G technology has enabled crowd-sensing services to collect multimedia data over wireless network,so it has promoted the applications of crowd-sensing services in different fields,but also brings more privacy security challenges,the most commom which is privacy *** a privacy protection technology combining data integrity check and identity anonymity,ring signature is widely used in the field of privacy ***,introducing signature technology leads to additional signature verification *** the scenario of crowd-sensing,the existing signature schemes have low efficiency in multi-signature ***,it is necessary to design an efficient multi-signature verification scheme while ensuring *** this paper,a batch-verifiable signature scheme is proposed based on the crowd-sensing background,which supports the sensing platform to verify the uploaded multiple signature data efficiently,so as to overcoming the defects of the traditional signature scheme in multi-signature *** our proposal,a method for linking homologous data was presented,which was valuable for incentive mechanism and data *** results showed that the proposed scheme has good performance in terms of security and efficiency in crowd-sensing applications with a large number of users and data.

关键词： 5G network Crowd-sensing Privacy protection Ring signature Batch verification

Novel 1-D Sandwich Photonic Bandgap Structure

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Tsinghua Science and Technology 2004年第2期9卷 227-233页

作者：庞云波高葆新 State Key Laboratory on Microwave and digital Communications Department of Electronic Engineering Tsinghua University Beijing 100084 China

A sandwich photonic bandgap (PBG) structure is a novel PBG structure whose periodic lattice is buried in the middle of a substrate. Neither drilling nor suspending the substrate is required, and the integrity of the ground plane is maintained. This paper presents several modification techniques for sandwich PBG structure fabrication. The forbidden gap can be improved by adopting the chirping technique, applying the tapering technique, enlarging the periodic elements, adjusting the location of the periodic lattice in the sub-strate, and using different dielectric media H-shape elements. A finite difference time domain method is ap-plied to analyze the structures. Deep and wide stopbands can be obtained using the modified sandwich structures. Experimental measurement results agree well with the theoretical analysis.

关键词： photonic bandgap finite difference time domain method microstrip

Stress Knowledge Map:A knowledge graph resource for systems biology analysis of plant stress responses

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Plant Communications 2024年第6期5卷 17-31页

作者： Carissa Bleker Ziva Ramsak Andras Bittner Vid Podpecan Maja Zagorscak Bernhard Wurzinger Spela Baebler Marko Petek Maja Kriznik Annelotte van Dieren Juliane Gruber Leila Afjehi-Sadat Wolfram Weckwerth Anze Zupanic Markus Teige Ute CVothknecht Kristina Gruden department of Biotechnology and Systems Biology National Institute of BiologyVecna pot 1211000 LjubljanaSlovenia Plant Cell Biology Institute of Cellular and Molecular BotanyUniversity of BonnKirschallee 153115 BonnGermany department of Knowledge Technologies Jozef Stefan InstituteJamova cesta 391000 LjubljanaSlovenia department of Functional&Evolutionary Ecology University of ViennaDjerassiplatz 11030 ViennaAustria Mass Spectrometry Unit Core Facility Shared ServicesUniversity of ViennaDjerassiplatz 11030 ViennaAustria

Stress Knowledge Map(SKM;https://***)is a publicly available resource containing two complementary knowledge graphs that describe the current knowledge of biochemical,signaling,and regulatory molecular interactions in plants:a highly curated model of plant stress signaling(PSS;543 reactions)and a large comprehensive knowledge network(488390 interactions).Both were constructed by domain experts through systematic curation of diverse literature and database *** provides a single entry point for investigations of plant stress response and related growth trade-offs,as well as interactive explorations of current *** is also formulated as a qualitative and quantitative model for systems biology and thus represents a starting point for a plant digital ***,we describe the features of SKM and show,through two case studies,how it can be used for complex analyses,including systematic hypothesis generation and design of validation experiments,or to gain new insights into experimental observations in plant biology.

关键词： knowledge graph plant stress responses plant signaling systems biology plant digital twin

Literary placemaking and narrative immersion in extended reality virtual geographic environments

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International Journal of digital Earth 2022年第1期15卷 853-867页

作者： Michal Rzeszewski Jeneen Naji Faculty of Human Geography and Planning Adam Mickiewicz University in PoznanPoznanPoland department of media Studies Maynooth UniversityMaynoothIreland

Virtual geographical environments(VGEs)are being used to represent our sense of place through the application of extended-reality or cross-reality(XR)technologies with a focus on technological advancement and *** light of this,we propose that an expanded and interdisciplinary understanding of the concept of immersion is required to facilitate an understanding of spatial data to a broader *** potential of focusing on narrative immersion and literary placemaking in VGEs is discussed to evoke a stronger sense of place and a feeling of presence and belonging in *** paper seeks to highlight the unique affordances and potentialities of XR narrative style GIS digital representations through an interdisciplinary theoretically lead analysis of outputs created by the Building City dashboards project towards the goal of expanding audiences of non-specialist stakeholders in urban planning processes.

关键词： Literary placemaking immersion extended-reality(XR) virtual geographic environments(VGE) urban planning

Reinforcement Learning-Based Dynamic Order Recommendation for On-Demand Food Delivery

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Tsinghua Science and Technology 2024年第2期29卷 356-367页

作者： Xing Wang Ling Wang Chenxin Dong Hao Ren Ke Xing department of Automation Tsinghua UniversityBeijing 100080China School of Mechanical and Automotive Engineering Qingdao Hengxing University of Science and TechnologyQingdao 266100China Meituan Beijing 100015China

On-demand food delivery(OFD)is gaining more and more popularity in modern *** a kernel order assignment manner in OFD scenario,order recommendation directly influences the delivery efficiency of the platform and the delivery experience of *** paper addresses the dynamism of the order recommendation problem and proposes a reinforcement learning solution *** actor-critic network based on long short term memory(LSTM)unit is designed to deal with the order-grabbing conflict between different ***,three rider sequencing rules are accordingly proposed to match different time steps of the LSTM unit with different *** test the performance of the proposed method,extensive experiments are conducted based on real data from Meituan delivery *** results demonstrate that the proposed reinforcement learning based order recommendation method can significantly increase the number of grabbed orders and reduce the number of order-grabbing conflicts,resulting in better delivery efficiency and experience for the platform and riders.

关键词： on-demand food delivery order recommendation reinforcement learning actor-critic network long short term memory

A nut-type ultrasonic motor and its application in the focus system

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Chinese Science Bulletin 2009年第20期54卷 3778-3783页

作者： ZHOU TieYing ZHANG Yun CHEN Yu LU CunYue FU DeYong LI Yi HU XiaoPing department of Physics Tsinghua University Beijing 100084 China Boly media Communications LTD (Shenzhen) Shenzhen 518031 China

This article reports a screw-driven polyhedron linear ultrasonic motor(USM) of *** is comprised of a stator,which is a threaded metal nut bonded with piezoelectric plates on its external surface,and a rotor with external threads,which engage with the internal threads of the stator.A traveling wave in the plane is stimulated on the stator when harmonic electric signals are applied to the piezoelectric *** traveling wave drives the rotor to rotate,and the threads transform the rotation into a linear *** lens can be fixed in the rotor and realize the integrated design of the auto focus *** structure can omit retarder and directly drive to obtain a high accuracy of positioning,and it is shockproof.A mini AF cellular phone module(8.5 mm×8.5 mm×5.9 mm) driven by this motor was made and an image resolution of 3-5 MP was obtained in the module prototypes of the cellular phone.

关键词：自动对焦系统超声波电机螺母应用直线运动直接驱动迷你手机超声波马达

The H_∞ synchronization of nonlinear Bloch systems via dynamic feedback control approach

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Chinese Physics B 2011年第7期20卷 101-106页

作者： D.H. Ji J.H. Koo S.C. Won Ju H. Park Mobile Communication Division Digital Media and Communications Samsung Electronics Co. Ltd 416-2 Maetan-Dong Suwon 443-803 Republic of Korea department of Electronic and Electrical Engineering Pohang University of Science and Technology San 31 Hyoja-Dong Pohang 790-784 Republic of Korea department of Electrical Engineering Yeungnam University 214-1 Dae-Dong Kyongsan 712-749 Republic of Korea

We consider an H∞ synchronization problem in nonlinear Bloch systems. Based on Lyapunov stability theory and linear matrix inequality formulation, a dynamic feedback controller is designed to guarantee asymptotic stability of the master-slave synchronization. Moreover, this controller reduces the effect of an external disturbance to the H∞ norm constraint. A numerical example is given to validate the proposed synchronization scheme.

关键词： H∞ synchronization Bloch system dynamic control linear matrix inequality

Cyberbullying Sexism Harassment Identification by Metaheurustics-Tuned eXtreme Gradient Boosting

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Computers, Materials & Continua 2024年第9期80卷 4997-5027页

作者： Milos Dobrojevic Luka Jovanovic Lepa Babic Miroslav Cajic Tamara Zivkovic Miodrag Zivkovic Suresh Muthusamy Milos Antonijevic Nebojsa Bacanin Technical Faculty Singidunum UniversityBelgrade11000Serbia Informatics and Computing Singidunum UniversityBelgrade11000Serbia Business Economics Singidunum UniversityBelgrade11000Serbia Computing and Informatics Sinergija UniversityBijeljina76300Bosnia and Herzegovina department for Information Systems and Technologies University“Union Nikola Tesla”Cara DusanaBelgrade11080Serbia department for Computer Science and Informatics School of Electrical EngineeringUniversity of BelgradeBelgrade11000Serbia department of Electrical and Electronics Engineering Kongu Engineering College(Autonomous)PerunduraiErode638060India department of Mathematics Saveetha School of Engineering(Deemed to be University)SIMATS ThandalamChennai602105India MEU Research Unit Middle East UniversityAmman11831Jordan

Cyberbullying is a form of harassment or bullying that takes place online or through digital devices like smartphones,computers,or *** can occur through various channels,such as social media,text messages,online forums,or gaming *** involves using technology to intentionally harm,harass,or intimidate others and may take different forms,including exclusion,doxing,impersonation,harassment,and ***,due to the rapid growth of malicious internet users,this social phenomenon is becoming more frequent,and there is a huge need to address this ***,the main goal of the research proposed in this manuscript is to tackle this emerging challenge.A dataset of sexist harassment on Twitter,containing tweets about the harassment of people on a sexual basis,for natural language processing(NLP),is used for this *** algorithms are used to transform the text into a meaningful representation of numbers for machine learning(ML)input:Term frequency inverse document frequency(TF-IDF)and Bidirectional encoder representations from transformers(BERT).The well-known eXtreme gradient boosting(XGBoost)ML model is employed to classify whether certain tweets fall into the category of sexual-based harassment or ***,with the goal of reaching better performance,several XGBoost models were devised conducting hyperparameter tuning by *** this purpose,the recently emerging Coyote optimization algorithm(COA)was modified and adjusted to optimize the XGBoost ***,other cutting-edge metaheuristics approach for this challenge were also implemented,and rigid comparative analysis of the captured classification metrics(accuracy,Cohen kappa score,precision,recall,and F1-score)was ***,the best-generated model was interpreted by Shapley additive explanations(SHAP),and useful insights were gained about the behavioral patterns of people who perform social harassment.

关键词： Coyote optimization algorithm NLP TF-IDF BERT XGBoost online harassment and cyberbullying metaheuristics