Test and Development of Comprehensive Performance Test System for Shift Tower by Zhang Zhigang, Zheng Yanjie, Li Teng, Xu Dong, Hou Yabin, Yin Sheng

“…In order to study the comprehensive performance of shift tower in the manual transmission,a performance test system for the shift tower is designed. The test system adopts the selection and shift motor to drive the shift tower to realize the operating function of the gear selection and shift. …”
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Research on federated learning approach based on local differential privacy by Haiyan KANG, Yuanrui JI

“…As a type of collaborative machine learning framework, federated learning is capable of preserving private data from participants while training the data into useful models.Nevertheless, from a viewpoint of information theory, it is still vulnerable for a curious server to infer private information from the shared models uploaded by participants.To solve the inference attack problem in federated learning training, a local differential privacy federated learning (LDP-FL) approach was proposed.Firstly, to ensure the federated model training process was protected from inference attacks, a local differential privacy mechanism was designed for transmission of parameters in federated learning.Secondly, a performance loss constraint mechanism for federated learning was proposed and designed to reduce the performance loss of local differential privacy federated model by optimizing the constraint range of the loss function.Finally, the effectiveness of proposed LDP-FL approach was verified by comparative experiments on MNIST and Fashion MNIST datasets.…”
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Hurst and priority adaptive RED combined with dynamic scheduling algorithm based on AOS by Yu-xia BIE, Cheng-sheng PAN, Hai-yan LIU, Yan-chun WANG

“…In order to efficiently transmit different types of high-capacity and burst data,based on virtual channel multiplexing technology on advanced orbiting systems(AOS),a Hurst and priority adaptive random early detection(RED) combined with dynamic scheduling algorithm named HPRED-DS was proposed.In queue management state,the algorithm designed an adaptive two-level packet dropping strategy based on Hurst parameter and priority.In virtual channel scheduling state,a VIP,synchronous and asynchronous mixed virtual channels scheduling mode was designed.Meanwhile,the algorithm efficiently combined queue management and virtual channel scheduling.Experimental results show that on the basis of maintaining high treatment efficiency and throughput,the algorithm stabilizes queue length,reduces delay and delay jitter,can meet various services’transmitting requirement.…”
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Adaptive particle filter for state estimation with application to non‐linear system by Fangfang Zhao, Ruijie Cai

“…Simultaneously, from the perspective of improving the resampling method, a new resampling technique based on the random resampling method has been designed and fused to this filter. The comparison and analysis of two simulation schemes have been conducted to assess the performance of the designed filtering algorithm. …”
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Multi-user fine-grained task offloading scheduling strategy under cloud-edge-end collaboration by XIE Mande, HUANG Zhufang, SUN Hao

“…Application tasks were firstly divided and subtask priorities were designed. Then, a multi-user subtask scheduling scheme was proposed and an improved simulated annealing particle swarm algorithm was designed to minimize the total system cost to achieve the optimal offloading decision. …”
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Bruno Munari, la polysensorialité des livres pour la jeunesse by Chiara Rubessi

“…The work of Bruno Munari (1907-1998) holds a significant place in the Italian tradition of the artist’s book, characterized by recognized and impactful production. Munari, as a designer, artist, and writer, experimented with various techniques and genres, anticipating many future trends, especially in the field of children’s books. …”
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SDN security prediction method based on bayesian attack graph by Yanshang YIN, Tongpeng SUO, Ligang DONG, Xian JIANG

“…Existing researchers use threat modeling and security analysis system to evaluate and predict SDN (software defined network) security threats, but this method does not consider the vulnerability utilization of SDN controller and the location of devices in the network, so the security evaluation is not accurate.In order to solve the above problems, according to the probability of device vulnerability utilization and device criticality, combined with PageRank algorithm, a algorithm to calculate the importance of each device in SDN was designed; according to SDN attack graph and Bayesian theory, a method to measure the success probability of device being attacked was designed.On this basis, a SDN security prediction method based on Bayesian attack graph was proposed to predict the attacker's attack path.Experimental results show that this method can accurately predict the attacker's attack path and provide more accurate basis for security defense.…”
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Hierarchical scalable storage architecture for massive electronic bill by Fenghua LI, Dingyan LI, Wei JIN, Zhu WANG, Yunchuan GUO, Kui GENG

“…The rise of e-commerce and other network services have greatly promoted the development of electronic bill service,while traditional data storage schemes can no longer satisfy the rapid access requirements of massive electronic bill data.To solve these problems,a hierarchical scalable storage architecture for massive electronic bill was proposed,which combined hash modular algorithm and consistent hash algorithm,and supported fast data locating.A horizontal expansion scheme based on hash modular algorithm was designed to reduce the amount of data that needed to migrate when adding or deleting data nodes.Besides,a data caching scheme based on hot data and a load balancing scheme based on access delay were designed and implemented,further improving the speed of data access.Finally,the experiments prove the effectiveness of proposed architecture and schemes.…”
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Intestinal Motility after Ileal Pouch-Anal Anastomosis by Jacques Heppell

“…Measures designed to slow intestinal transit, increase absorption and reduce stool output are under investigation.…”
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Multi-party efficient audit mechanism for data integrity based on blockchain by Jiashun ZHOU, Na WANG, Xuehui DU

“…A blockchain-based data integrity multi-party high-efficiency audit mechanism (MBE-ADI) for the big data environment was proposed.A hybrid Merkle DAG structure based on data domain was built to organize data, and realized the simultaneous verification of a large number of unstructured data in the big data environment.In order to deal with the problem of large amount of data in the big data environment, a multi copy deterministic verification method based on BLS signature was designed to realize the efficient verification of data integrity supporting multiple copies.A dual verification audit architecture based on consortium blockchain was designed to realize decentralized automatic audit and audit history credible traceability.At the same time, data integrity verification services were provided for data owners and data users to realize reliable acquisition of data.The test proves the feasibility of the system and the efficiency of data integrity audit.…”
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Toxicity of Common Indoor Household Insecticides Registered in Florida by Frederick M. Fishel

“…Insecticides are designed to control insect pests, but they can also be toxic (poisonous) to desirable plants and animals, including humans. …”
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Formalism as Mysticism: Reading Jewish American Poets Louis Zukofsky and Charles Reznikoff by Xavier Kalck

“…Pourtant, la critique les rassemble de plus en plus comme poètes juifs américains de l’entre-deux-guerres. A travers cette désignation aux contours souvent flous, le formalisme du dernier vingtième siècle se réinvente aux sources identitaires présumées des précurseurs qu’il se désigne. …”
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A Novel Method for Constructing Grid Multi-Wing Butterfly Chaotic Attractors via Nonlinear Coupling Control by Yun Huang

“…And a piecewise linear function, which is taken into the linear coupling controller, is designed to form a nonlinear coupling controller; thus a five-dimensional chaotic system is produced, which is able to generate gird multi-wing butterfly chaotic attractors. …”
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Research on Architecture of LEO Satellite Internet of Things and Key Technologies by Xiaojin DING, Tao HONG, Rui LIU, Wentao PENG, Gengxin ZHANG

“…First, we analyzed the composition and demand characteristics of LEO satellite IoTs, and designed an architecture of LEO satellite IoTs.Second, to extracted characteristics of electromagnetic environment and channel, we studied electromagnetic environment and channel sensing methods through constructing neural network model.Then, we investigated an active terminal-identifi cation method for detecting active terminals.Finally, considered multiple-input multiple-output as the main approach to improved the capacity of terrestrial mobile communication systems, we explored a pair of algorithms of mining satellite spatial resources for realizing the collision mitigation and capacity improvement of LEO IoT terminals.Simulation results showed that the designed method sofmining spatial-domain resources could mitigated eff ectively signal collisions among IoT terminals, and improved signifi cantly the concurrent accessing number of LEO satellite IoT terminals.…”
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C3S:research of CI-based concurrent transmission strategy for intelligent sensing system by Yanyan MAO, Dapeng CHENG, Yanli FENG, Quansheng DOU, Dashe LI

“…Concurrent transmission technology has important sense for Intelligent Sensing System (ISS).The C3S strategy based with constructive interference (CI) was proposed.C3S was composed of intelligent clock synchronization layer,intelligent energy consumption allocation layer and intelligent parallel pipeline layer.The intelligent clock synchronization layer designed ICCA,a CI-based intelligent clock calibration algorithm.The intelligent energy allocation layer designed CIES,a energy adaptive scheduling scheme for CI,Moreover,a CI-based parallel pipeline CI2P was implemented in the intelligent parallel pipeline layer.The experimental results show that the C3S strategy can effectively improve the packet receiving rate of the concurrent transmission in ISS.It can also reduce the energy consumption of ISS and improve the channel utilization rate of ISS.…”
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Coordinated Control of Slip Ratio for Wheeled Mobile Robots Climbing Loose Sloped Terrain by Zhengcai Li, Yang Wang

“…First, a slope-based wheel-soil interaction terramechanics model is built, and an online slip coordinated algorithm is designed based on the goal of optimal drive efficiency. …”
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Multiaxial fatigue of in-service aluminium longerons for helicopter rotor-blades by A. Shanyavskiy, A. Toushentsov

“…It is not above the designed equivalent stress level. Crack growth period estimation in longerons based on fatigue striation spacing or meso-beach-marks measurements has shown that monitoring system introduced designer in longerons can be effectively used for in-time crack detecting independently on the failed section when can appeared because of various type of material faults or in-service damages.…”
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Robust Control for the Suspension Cable System of the Unmanned Helicopter with Sensor Fault under Complex Environment by Rong Mei

“…Simulation studies are given to show the efficiency of the designed robust antiswing control strategy.…”
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Multi-authority attribute-based encryption access control model for cloud storage by Zhi-tao GUAN, Ting-ting YANG, Ru-zhi XU, Zhu-xiao WANG

“…The existing attribute-based encryption access control studies are mostly based on single authority,and this scheme is apt to be under attack to cause exposure of secret keys.Thus,a multi-authority access control model PRM-CSAC is proposed.Based on CP-ABE method,a multi-authority attribute-based encryption scheme is designed to improve security level.Minimized attribute grouping algorithm is designed to distribute keys to users according to needs,which can reduce unnecessary attribute key distribution and decrease the amount of re-encryption attributes.The read and write attribute are added to strengthen the control of owners.The analysis shows that the proposed scheme can meet the security requirement of access control in cloud,and it also has less response time and system cost.…”
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Self-correcting complex semantic analysis method based on pre-training mechanism by Qing LI, Jiang ZHONG, Lili LI, Qi LI

“…In the process of knowledge service,in order to meet the fragmentation management needs of intellectualization,knowledge ability,refinement and reorganization content resources.Through deep analysis and mining of semantic hidden knowledge,technology,experience,and information,it broke through the existing bottleneck of traditional semantic parsing technology from Text-to-SQL.The PT-Sem2SQL based on the pre-training mechanism was proposed.The MT-DNN pre-training model mechanism combining Kullback-Leibler technology was designed to enhance the depth of context semantic understanding.A proprietary enhancement module was designed that captured the location of contextual semantic information within the sentence.Optimize the execution process of the generated model by the self-correcting method to solve the error output during decoding.The experimental results show that PT-Sem2SQL can effectively improve the parsing performance of complex semantics,and its accuracy is better than related work.…”
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