Exploration and practice of AI-empowered smart campus by SU Xiaoming, ZHANG Siyu, JIANG Kaida

“…According to the application and practice of generative AI technologies in smart campus development, focusing on the campus AI Hub—a smart application integration platform designed for higher education, two core functionalities of the campus AI Hub, such as general application services and scenario-based solutions were highlighted. …”
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Obstacle Capability of an Air-Ground Amphibious Reconnaissance Robot with a Planetary Wheel-Leg Type Structure by Enzhong Zhang, Ruiyang Sun, Zaixiang Pang, Shuai Liu

“…The kinematic characteristic curves of each component and the whole prototype are obtained, which provides a theoretical basis for the design and numerical calculation of the robot structure. …”
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Fusion reconstruction mechanism and contrast learning method for WSN abnormal node detection by YE Miao, CHENG Jin, HUANG Yuan, JIANG Qiuxiang, WANG Yong

“…Secondly, a dual layer spatiotemporal feature extraction module based on multi-head attention and graph neural network was designed. Through a series of comparative experiments on actual public datasets and their experimental results, it is shown that the method designed has better accuracy and recall compared to traditional anomaly detection methods and recent graph neural network methods.…”
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La numérisation des dispositifs de participation de la Mairie de Paris by Nicolas Douay

“…This approach “through instruments” is therefore aimed at studying the design, uses and effects of these instruments of participation. …”
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Scalable Low Power Accelerator for Sparse Recurrent Neural Network by Panshi JIN, Junjie LI, Jingyi WANG, Pengchong LI, Lei XING, Xiaodong LI

“…The use of edge computing devices in bank outlets for passenger flow analysis, security protection, risk prevention and control is increasingly widespread, among which the performance and power consumption of AI reasoning chips have become a very important factor in the selection of edge computing devices.Aiming at the problems of recurrent neural network, such as high power consumption, weak reasoning performance and low energy efficiency, which were caused by data dependence and low data reusability, this paper realized a sparse RNN low-power accelerator with scalable voltage by using FPGA, and verifies it on the edge design and calculation equipment.Firstly, the sparse -RNN was analyzed and the processing array was designed by network compression.Secondly, due to the unbalanced workload of sparse RNN, it introduced voltage scaling method to maintain low power consumption and high throughput.Experiments show that this method could significantly improve the RNN reasoning speed of the system and reduce the processing power consumption of the chip.…”
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VIBRATION OPTIMIZATION AND CONTROL OF SEVEN-AXLE HYBRID COUPLING HYDRO-PNEUMATIC SUSPENSION VEHICLE by TIAN WenPeng, XIA Feng, XU XinXin

“…In order to obtain the optimal vibration response of a seven-axle elevated platform vehicle with hydro-pneumatic suspension（HPS）, a hybrid coupling scheme of parallel connection ＆ contralateral cross-linked for HPS was designed. The dynamic model with 20 degrees of freedom which can comprehensively reflect vehicle coupling vibration including vertical-lateral-longitudinal-transverse was established. …”
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Analyzing the components and applications of wireless sensor network: a concise study by Lu Fan

“…The path searching means routing, power management, and data dissemination protocols have been specifically designed for WSNs where energy awareness is an essential design issue. …”
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Algorithm of underdetermined convolutive blind source separation for high reverberation environment by Yuan XIE, Tao1 ZOU, Weijun SUN, Shengli XIE

“…To separate the underdetermined convolutive mixture signals in the high reverberation environment, a novel algorithm of underdetermined convolutive blind source separation was proposed.Aiming at the influence of high reverberation environment, a global impulse response network was designed to weaken reverberation echo, improving signal quality.A new mathematical model of time-frequency mixing signals was established based on the global impulse response network.The global impulse response matrix which shortened the length of the traditional impulse response, reduced the approximation error of model transformation caused by high reverberation.The real-time update learning rules of model parameters were designed based on the theory of nonnegative matrix factorization, and the source signal separation problem was converted into the model parameter optimization problem, achieving blind source separation of mixing signals.Experimental results show that the proposed algorithm can effectively realize the blind source separation of Chinese and English speech and music signals, and the comparision with existing popular algorithms verified the superiority of the proposed algorithm.…”
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Survey on user authentication protocol in wireless sensor network by Wei-dong FANG, Wu-xiong ZHANG, Lian-hai SHAN, Wei HE, Wei CHEN

“…These researches will contribute to the design, analysis and optimization for the UAP in WSN.…”
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Territorialidade de espaço público em uma cidade ribeirinha na Amazônia Setentrional Brasileira – Afuá, Pará by José Marcelo Martins Medeiros, Jacy Côrrea Neto, Mariana Martins Medeiros

“…Theories on the concept of territory, in particular those of Raffestin (1993, 2003), allowed the preparation of structured analyzes in two aspects: urban and socio-territorial, which can in future support the design of an urban intervention, in order to promote local development.…”
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STUDY ON THE COMPILATION OF TYPICAL EXCITATION SPECTRUM OF SUSPENSION DYNAMIC K＆C TEST by FENG JinZhi, FU DaoQi, ZHENG SongLin, ZHENG GuangLei, XUE HaiLong, LIN Yang

“…The traditional quasi-static K＆C characteristic test can not reflect the hysteresis effect caused by shock absorber damping and bushing viscoelasticity comprehensively and effectively, but the suspension dynamic K＆C characteristic test can make up the deficiency of the quasi-static characteristic test.Development of dynamic K＆C test involves two aspects of excitation spectrum and performance evaluation of the research content, in this paper, A class A sedan for the study of the carrier, through A skid pad road load spectrum sampling test and simulation analysis, through the bench test iterations, designed the suspension K＆C dynamic characteristic test of typical excitation spectrum, and its validity is verified by bench test and virtual test.The results show that the dynamic characteristics of the suspension can be reflected effectively by using the typical excitation spectrum designed in this paper, which provides some support for the research of wheel positioning parameters and the development of K＆C test technology.…”
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Research on security of mobile payment for commercial bank by Xi CHEN, You-liang TIAN, Zhuo MA, Jian-feng MA

“…There is no doubt that mobile payment is the spotlight in Internet finance now.Although users can enjoy quick and convenient services,they have to face with more severe security problems at the same time:the attack incidents,such as cellphone Trojan and privacy leaks emerge endlessly.Lots of viruses which are designed for attacking financial payments can steal users’ personal information including account,password and verification code in the proceedings of remote payment and near field communication.Security issues have already seriously impeded the further development of the mobile payment market.To solve the above problems,discusses the security issues in mobile terminals,payments,network and interactive logic of banking business from financial institutions’ perspective was discussed systematically.In addition,current status of relevant security key technologies are summarized from academic research community and industry fields.Finally,based on related research achievements,the design of system architecture and suggestions for mobile payment security are proposed,which can guide the future development of commercial bank.…”
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Analysis of Influencing Factors on Splitting Characteristics of Hydraulic Asphalt Concrete by ZHANG Yang

“…Mix ratio design and analysis of asphalt concrete are an important way to study its physical and mechanical properties.This paper performs 16 sets of tests with 3 factors and 4 levels according to the orthogonal test design theory,and discusses the influence of gradation index,filler amount and asphalt content on the splitting strength and splitting displacement by the range and variance analysis method to obtain the optimum combination of mix parameters,spatializes the mix ratio parameters,and analyzes the distribution law of asphalt concrete splitting characteristics.The test results show that:The influence of the mix parameters on the splitting strength of asphalt concrete decreases in order of gradation index,filler amount and asphalt content,while contrary to the splitting displacement.In terms of strength,the gradation index is considered preferentially for the splitting strength of asphalt concrete;while from the perspective of stiffness,the asphalt content is preferential for that.When selecting asphalt concrete as an impermeable body in engineering parts where hydraulic fracturing may exist,with full consideration to the stress state,the suitable mix ratio should be used.…”
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Position Optimization of Passive Patch Based on Mode Contribution Factor for Vibration Attenuation of Asymmetric 1D Structure by Dongwoo Hong, Kyeongnak Lee, Byeongil Kim

“…It was determined that, depending on the location of the passive patch, the peak amplitude at the natural frequency of each mode decreased significantly, validating the effectiveness of the design method.…”
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Content System of Physical Fitness Training for Track and Field Athletes and Evaluation Criteria of Some Indicators Based on Artificial Neural Network by Wei Wang, Xiaowei Chen

“…The training method is relatively simple in design. According to the distribution of muscles, there are more core and trunk training methods, accounting for 23.64% of physical training.…”
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Mathematical and Finite Element Modeling of Micro-Modification for Marine Gear by Xiongxi Wu, Qifeng Gao, Zesong Li

“…Based on the computer simulation technique, this paper used the professional gear design software MASTA and finite element software ANSYS combined with the method of gear micro-modification to redesign the gear profile and eventually realized the optimization design of gear micro-modification. …”
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Hybrid Robust H2/H∞ Fault-Tolerant Control with Random Delay NCS by Jun Wang, Miaomiao Ling

“…In this paper, a hybrid fault-tolerant control method with off-line design and online scheduling is proposed for NCS with actuator faults, random delay, and external finite energy disturbance. …”
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A Study on Calculation Method and Influence Factor of Critical Speed of Helicopter Tail Drive Shaft by De Ni, Cheng Duan, Miaofei Cao, Jing Wei

“…For the helicopter transmission shaft system，it is usually necessary to carry out a variety of scheme comparison and influence parameter analysis during the design stage to obtain a relatively better design scheme. …”
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Federated edge learning with reconfigurable intelligent surface and its application in Internet of vehicles by Ping WANG, Zhiwei YANG, Heju LI

“…Aiming at the problem that it is difficult to achieve an optimal trade-off between wireless communication and model accuracy in FEEL training caused by the heterogeneity of wireless links and data distribution, a reconfigurable intelligent surface (RIS) enabled federated edge learning system was proposed, which exploited the channel reconfigurability of RIS to adaptively manipulate the signal propagation environment, and utilized the over-the-air computation (Aircomp) to achieve fast model aggregation.Specifically, the convergence behavior of the FEEL algorithm under the influence of wireless channels and data heterogeneity was rigorously derived, and accordingly, an unified wireless resources optimization problem was constructed with the goal of minimizing the learning loss by jointly designing the transceiver design and the RIS phase shift.Simulation results demonstrate that the proposed scheme achieves substantial performance improvement compared against several baselines, and prove that RIS can play an important role in improving the accuracy of Aircomp enabled FEEL systems under data heterogeneity.Finally, the probability of applying it into Internet of vehicles is discussed.…”
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Multi-camera video collaborative analysis method based on edge computing by Zhibo QI, Lei DU, Ru HUO, Fan YANG, Tao HUANG

“…In order to reduce the processing volume of multi-camera real-time video data in smart city scenarios, a video collaborative analysis method based on machine learning algorithms at the edge was proposed.Firstly, for the important objects detected by each camera, different key windows were designed to filter the region of interest (RoI) in the video, reduce the video data volume and extract its features.Then, based on the extracted data features, the same objects in the videos from different cameras were annotated, and a strategy for calculating the association degree value between cameras was designed for further reducing the video data volume.Finally, the GC-ReID algorithm based on graph convolutional network (GCN) and re-identification (ReID) was proposed, aiming at achieving the collaborative analysis of multi-camera videos.The experimental results show that proposed method can effectively reduce the system latency and improve the video compression rate while ensuring the high accuracy, compared with the existing video analysis methods.…”
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