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A Cyber-Physical Routing Protocol Exploiting Trajectory Dynamics for Mission-Oriented Flying Ad Hoc Article

Die Hu, Shaoshi Yang, Min Gong, Zhiyong Feng, Xuejun Zhu

Engineering 2022, Volume 19, Issue 12,   Pages 217-227 doi: 10.1016/j.eng.2021.10.022

Abstract:

As a special type of mobile ad hoc network (MANET), the flying ad hoc network (FANETThe routing protocol plays a pivotal role in FANET.However, when designing the routing protocol for FANET, it is conventionally assumed that the aerialThis is clearly inappropriate for a mission-oriented FANET (MO-FANET), in which the aerial nodes typicallylower overhead and lower average end-to-end latency, while maintaining a reasonably moderate and stable network

Keywords： Cyber-physical system     Flying ad hoc network (FANET)     Routing protocol     Trajectory dynamics     Unmanned    

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Refined analysis of axi-symmetric circular cylinder in the axial magnetic field without ad hoc assumption

Baosheng ZHAO, Yang GAO, Yingtao ZHAO, Dechen ZHANG

Frontiers of Mechanical Engineering 2011, Volume 6, Issue 3,   Pages 318-323 doi: 10.1007/s11465-011-0232-0

Abstract: rsquo;e method, the refined theory yields the solutions for magnetoelastic circular cylinder without adhoc assumptions.

Keywords： refined analysis     axially symmetric deformation     circular cylinder     Bessel’s function     axial magnetic field    

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A traffic-aware Q-network enhanced routing protocol based on GPSR for unmanned aerial vehicle ad-hoc Research Articles

Yi-ning Chen, Ni-qi Lyu, Guang-hua Song, Bo-wei Yang, Xiao-hong Jiang,ch19930611@zju.edu.cn,lvniqi@gmail.com,ghsong@zju.edu.cn,boweiy@zju.edu.cn,jiangxh@zju.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 9,   Pages 1308-1320 doi: 10.1631/FITEE.1900401

Abstract: In dense traffic unmanned aerial vehicle (UAV) ad-hoc networks, traffic congestion can cause increasedTQNGPSR, a traffic-aware enhanced protocol based on greedy perimeter stateless routing (GPSR), for UAV ad-hoc

Keywords： Traffic balancing     Reinforcement learning     Geographic routing     Q-network    

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Adaptive green traffic signal controlling using vehicular communication Article

Erfan SHAGHAGHI,Mohammad Reza JABBARPOUR,Rafidah MD NOOR,Hwasoo YEO,Jason J. JUNG

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 3,   Pages 373-393 doi: 10.1631/FITEE.1500355

Abstract: The vehicular ad hoc network (VANET), as an integral component of intelligent transportation systemsinefficient process of gathering and transmitting vehicle density information from the perspective of networkThe evaluation results show the superiority of the proposed approach based on both traffic and network

Keywords： Vehicular ad hoc network (VANET)     Intelligent transportation systems (ITSs)     Clustering     Adaptive traffic    

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The Application of Comprehensive Service Flying Hour to the Failure Analysis of Corrosion Fatigue Life

Lin Ming,Jin Ping,Sun Mingli

Strategic Study of CAE 2001, Volume 3, Issue 3,   Pages 65-67

Abstract:

The aircraft service air-ground-air environmental spectrum consists of two parts： flying environmentalmust be determined based on the environmental spectrum of aircraft service, in which factors such as flyingtime, calendar time and comprehensive service flying time are taken into account.analytical method of structural fatigue, the overhaul life of the hinge is discussed in respect of flyingtime, calendar time and comprehensive service flying time.

Keywords： corrosion     corrosion fatigue     flying time     calendar time     comprehensive service flying time    

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Understanding risk of thrombosis with thrombocytopenia syndrome after Ad26.COV2.S vaccination

Frontiers of Medicine 2021, Volume 15, Issue 6,   Pages 938-941 doi: 10.1007/s11684-021-0895-9

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Mechanical properties and impact resistance of concrete composites with hybrid steel fibers

Fatih ÖZALP; Halit Dilşad YILMAZ; Burcu AKCAY

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 5,   Pages 615-623 doi: 10.1007/s11709-022-0828-y

Abstract: The aim of this study is to develop concrete composites that are resistant to armor-piercing projectiles for defense structures. Different reinforcement configurations have been tested, such as short steel fibers, long steel fibers, and steel mesh reinforcement. Three different concrete mix designs were prepared as “Ultra High Performance (UHPFRC), High Performance (HPFRC) and Conventional (CFRC) Fiber Reinforced Concrete”. The content of hybrid steel fibers was approximately 5% in the UHPFRC and HPFRC mixtures, while the steel fiber content was approximately 2.5% in the CFRC mixture. In addition, a plain state of each mixture was produced. Mechanical properties of concrete were determined in experimental studies. In addition to the fracture energy and impact strength, two important indicators of ballistic performance of concrete are examined, which are the penetration depth and damage area. The results of the study show that the depth of penetration in UHPFRC was around 35% less than that in HPFRC. It was determined that the mixtures of UHPFRC and HPFRC containing 5% by volume of hybrid steel fibers showed superior performance (smaller crater diameter and the less projectile penetration depth) against armor-piercing projectiles in ballistic tests and could be used in defense structures.

Keywords： projectile impact     depth of penetration     fracture energy     crater diameter     UHPFRC    

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Cooperative channel assignment for VANETs based on multiagent reinforcement learning Research Articles

Yun-peng Wang, Kun-xian Zheng, Da-xin Tian, Xu-ting Duan, Jian-shan Zhou,ypwang@buaa.edu.cn,zhengkunxian@buaa.edu.cn,dtian@buaa.edu.cn,duanxuting@buaa.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 7,   Pages 1047-1058 doi: 10.1631/FITEE.1900308

Abstract: (DCA) plays a key role in extending vehicular ad-hoc network capacity and mitigating congestion.no less than 12.66% on average in a highly dense situation, and improve the fairness of the global network

Keywords： Vehicular ad-hoc networks     Reinforcement learning     Dynamic channel assignment     Multichannel    

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An Effective Method for Improving Silicon Micro-resonator System Performance

Xia Dunzhu,Wang Shourong,Zhou Bailing

Strategic Study of CAE 2006, Volume 8, Issue 10,   Pages 71-74

Abstract:

The working principle of silicon micro-resonator system was firstly introduced. An intelligence silicon micro-resonator system design and realization was presented in focus. Its two step working flows for roughness and fineness searching and digital interface technology were analyzed in detail. Combined with experimental data and sweeping curve, two different searching results came out under different vacuum circumstance and its working performance was well evaluated.

Keywords： direct digital synthesis (DDS)     silicon micro-resonator     AD9954     digital signal processing    

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Lung-Targeted Transgene Expression of Nanocomplexed Ad5 Enhances Immune Response in the Presence of Preexisting Article

Yilong Yang, Shipo Wu, Yudong Wang, Fangze Shao, Peng Lv, Ruihua Li, Xiaofan Zhao, Jun Zhang, Xiaopeng Zhang, Jianmin Li, Lihua Hou, Junjie Xu, Wei Chen

Engineering 2023, Volume 27, Issue 8,   Pages 127-139 doi: 10.1016/j.eng.2022.12.007

Abstract:

Recombinant adenovirus serotype 5 (Ad5) vector has been widely applied in vaccine development targetingHowever, the high prevalence of preexisting anti-vector immunity compromises the immunogenicity of Ad5substantial unmet need to minimize preexisting immunity while improving the insert-induced immunity of Ad5Furthermore, in charge- and dose-dependent manners, Ad5/(+)HSAnp complexes achieve robust (up to 227-Importantly, in the presence of preexisting anti-Ad5 immunity, complexed Ad5-based Ebola and COVID-19

Keywords： Adenovirus serotype 5     Vaccine     Preexisting immunity     Nanoparticles     Transgene expression    

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Lateral Vibration Analyses of Flying Vehicle under Thrust and Drag

Song Jian

Strategic Study of CAE 2000, Volume 2, Issue 10,   Pages 63-72

Abstract:

In this paper, the influence of thrust and air drag on rocket lateral vibration is studied, and the frequency reduction under the thrust and drag is analyzed. The formulas for evaluation of the changes of frequencies and vibration modes are obtained. The equations of transverse movement when nozzle connected rigidly with rocket and related boundary conditions form the basis for analyses. The conclusions obtained are applicable for active accelerating and passive decelerating parts of trajectory as well as the cruise flight when thrust and drag are balanced. The analyses show that for small thrust and small axial overload, the discrepancy resulted from different calculation methods is not big, whereas for the heavy overloaded case a more accurate solution is extremely necessary.

Keywords： aircraft     rocket     lateral vibration     thrust and drag     vibration mode and frequency    

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The analysis & effect of excavation of rock by controlled blastingin the Olympic Games flying saucer

Shen Zhenyu,Zhang Pengjun,Wang Xuguang,Yu Yalun

Strategic Study of CAE 2009, Volume 11, Issue 11,   Pages 13-16

Abstract: >The application of the technique of the excavation by long-hole type blasting in the Olympic Games flying-saucer

Keywords： excavation of rock     long-hole type blasting     presplitting blasting     overbreak rock    

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Nonlinear programming control using differential aerodynamic drag for CubeSat formation flying Article

Sheng-chao DENG, Tao MENG, Zhong-he JIN

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 7,   Pages 867-881 doi: 10.1631/FITEE.1500493

Abstract: Because of their volume and power limitation, it is difficult for CubeSats to configure a traditional propulsion system. Atmospheric drag is one of the space environmental forces that low-orbit satellites can use to realize orbit adjustment. This paper presents an integrated control strategy to achieve the desired in-track formation through the atmospheric drag difference, which will be used on ZJUCubeSat, the next pico-satellite of Zhejiang University and one of the participants of the international QB50 project. The primary mission of the QB50 project is to explore the near-Earth thermosphere and ionosphere at the orbital height of 90–300 km. Atmospheric drag cannot be ignored and has a major impact on both attitude and orbit of the satellite at this low orbital height. We conduct aerodynamics analysis and design a multidimensional nonlinear constraint programming (MNLP) strategy to calculate different desired area–mass ratios and corresponding hold times for orbit adjustment, taking both the semimajor axis and eccentricity into account. In addition, area–mass ratio adjustment is achieved by pitch attitude maneuver without any deployable mechanism or corresponding control. Numerical simulation based on ZJUCubeSat verifies the feasibility and advantage of this design.

Keywords： QB50     ZJUCubeSat     Atmospheric drag     Formation flying    

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Novel interpretable mechanism of neural networks based on network decoupling method

Frontiers of Engineering Management 2021, Volume 8, Issue 4,   Pages 572-581 doi: 10.1007/s42524-021-0169-x

Abstract: The lack of interpretability of the neural network algorithm has become the bottleneck of its wide applicationdimension reduction method of high-dimensional system and reveal the calculation mechanism of the neural networkWe apply our framework to some network models and a real system of the whole neuron map of CaenorhabditisResult shows that a simple linear mapping relationship exists between network structure and network behaviorin the neural network with high-dimensional and nonlinear characteristics.

Keywords： neural networks     interpretability     dynamical behavior     network decouple    

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A multi-sensor relation model for recognizing and localizing faults of machines based on network analysis

Frontiers of Mechanical Engineering 2023, Volume 18, Issue 2, doi: 10.1007/s11465-022-0736-9

Abstract: Recently, advanced sensing techniques ensure a large number of multivariate sensing data for intelligent fault diagnosis of machines. Given the advantage of obtaining accurate diagnosis results, multi-sensor fusion has long been studied in the fault diagnosis field. However, existing studies suffer from two weaknesses. First, the relations of multiple sensors are either neglected or calculated only to improve the diagnostic accuracy of fault types. Second, the localization for multi-source faults is seldom investigated, although locating the anomaly variable over multivariate sensing data for certain types of faults is desirable. This article attempts to overcome the above weaknesses by proposing a global method to recognize fault types and localize fault sources with the help of multi-sensor relations (MSRs). First, an MSR model is developed to learn MSRs automatically and further obtain fault recognition results. Second, centrality measures are employed to analyze the MSR graphs learned by the MSR model, and fault sources are therefore determined. The proposed method is demonstrated by experiments on an induction motor and a centrifugal pump. Results show the proposed method’s validity in diagnosing fault types and sources.

Keywords： fault recognition     fault localization     multi-sensor relations     network analysis     graph neural network    

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Title Author Date Type Operation

A Cyber-Physical Routing Protocol Exploiting Trajectory Dynamics for Mission-Oriented Flying Ad Hoc

Die Hu, Shaoshi Yang, Min Gong, Zhiyong Feng, Xuejun Zhu

Journal Article

Refined analysis of axi-symmetric circular cylinder in the axial magnetic field without ad hoc assumption

Baosheng ZHAO, Yang GAO, Yingtao ZHAO, Dechen ZHANG

Journal Article

A traffic-aware Q-network enhanced routing protocol based on GPSR for unmanned aerial vehicle ad-hoc

Yi-ning Chen, Ni-qi Lyu, Guang-hua Song, Bo-wei Yang, Xiao-hong Jiang,ch19930611@zju.edu.cn,lvniqi@gmail.com,ghsong@zju.edu.cn,boweiy@zju.edu.cn,jiangxh@zju.edu.cn

Journal Article

Adaptive green traffic signal controlling using vehicular communication

Erfan SHAGHAGHI,Mohammad Reza JABBARPOUR,Rafidah MD NOOR,Hwasoo YEO,Jason J. JUNG

Journal Article

The Application of Comprehensive Service Flying Hour to the Failure Analysis of Corrosion Fatigue Life

Lin Ming,Jin Ping,Sun Mingli

Journal Article

Understanding risk of thrombosis with thrombocytopenia syndrome after Ad26.COV2.S vaccination

Journal Article

Mechanical properties and impact resistance of concrete composites with hybrid steel fibers

Fatih ÖZALP; Halit Dilşad YILMAZ; Burcu AKCAY

Journal Article

Cooperative channel assignment for VANETs based on multiagent reinforcement learning

Yun-peng Wang, Kun-xian Zheng, Da-xin Tian, Xu-ting Duan, Jian-shan Zhou,ypwang@buaa.edu.cn,zhengkunxian@buaa.edu.cn,dtian@buaa.edu.cn,duanxuting@buaa.edu.cn

Journal Article

An Effective Method for Improving Silicon Micro-resonator System Performance

Xia Dunzhu,Wang Shourong,Zhou Bailing

Journal Article

Lung-Targeted Transgene Expression of Nanocomplexed Ad5 Enhances Immune Response in the Presence of Preexisting

Yilong Yang, Shipo Wu, Yudong Wang, Fangze Shao, Peng Lv, Ruihua Li, Xiaofan Zhao, Jun Zhang, Xiaopeng Zhang, Jianmin Li, Lihua Hou, Junjie Xu, Wei Chen

Journal Article

Lateral Vibration Analyses of Flying Vehicle under Thrust and Drag

Song Jian

Journal Article

The analysis & effect of excavation of rock by controlled blastingin the Olympic Games flying saucer

Shen Zhenyu,Zhang Pengjun,Wang Xuguang,Yu Yalun

Journal Article

Nonlinear programming control using differential aerodynamic drag for CubeSat formation flying

Sheng-chao DENG, Tao MENG, Zhong-he JIN

Journal Article

Novel interpretable mechanism of neural networks based on network decoupling method

Journal Article

A multi-sensor relation model for recognizing and localizing faults of machines based on network analysis

Journal Article