Research on efficient and secure cross-domain data sharing of IoV under blockchain architecture by Xuejiao LIU, Tiancong CAO, Yingjie XIA

“…To solve the problems of data disclosure, uncontrolled data access, and inefficiency of cross-domain data sharing in the Internet of vehicles (IoV), an efficient and secure cross-domain data sharing scheme of IoV under blockchain architecture was proposed.A blockchain was maintained by trusted authorities of different trust domains.A modified ciphertext-policy attribute-based encryption scheme was adopted to encrypt data, and encrypted data was stored in interplanetary file system (IPFS) with relevant information recorded on the blockchain, constructing a fine-grained and secure cross-domain data sharing scheme based on blockchain.A verification algorithm for cross-domain access based on the garbled Bloom filter was designed, and a smart contract executed fast decryption tests based on access policies on the blockchain, improving the access efficiency of a mass of ciphertext.A cross-domain data access method based on outsourcing decryption was designed, and the trusted authorities transformed ciphertexts while performing outsourcing decryption with complex bilinear pairing calculations, reducing the time overhead of vehicle decryption.Experiment results show that the proposed scheme is superior to other schemes in the process of cross-domain ciphertext transformation and vehicle decryption, and the cross-domain data access efficiency is increased by 60% on average.…”
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Improving the University Digital Infrastructure Management System: Practice of Social Network Analysis by A. A. Azarov, E. V. Brodovskaya, V. A. Lukushin

“…By applying the method of social graphs and automated tools for processing open digital data, a universal algorithm for building and interpreting the resulting visual models is defined. …”
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Memory-Based Multiagent Coevolution Modeling for Robust Moving Object Tracking by Yanjiang Wang, Yujuan Qi, Yongping Li

“…The three-stage human brain memory model is incorporated into a multiagent coevolutionary process for finding the best match of the appearance of an object, and a memory-based multiagent coevolution algorithm for robust tracking the moving objects is presented in this paper. …”
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Representation and Reasoning of Three-Dimensional Spatial Relationships Based on R5DOS-Intersection Model Representation and Reasoning Based on R5DOS Model by Jian Li, Weijian Zhang, Yating Hu, Zhun Wang

“…Then, a self-designed algorithm was adopted to solve the model, yielding 11,038 achievable topological and directional relationships. …”
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Construction and Layout of Coordinated Multirobots System Based on Parallel Thought by Wanqiang Xi, Yaoyao Wang, Yadong Ding, Bai Chen

“…Moreover, the multiobjective layout problem is optimized based on the artificial bee colony (ABC) algorithm. The results show that the constructed robot combinations and the layout optimization method are satisfactory.…”
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Real-time diagnosis of multi-category skin diseases based on IR-VGG by Ling TAN, Shanshan RONG, Jingming XIA, Sarker SAJIB, Wenjie MA

“…Malignant skin lesions have a very high cure rate in the early stage.In recent years, dermatological diagnosis research based on deep learning has been continuously promoted, with high diagnostic accuracy.However, computational resource consumption is huge and it relies on large computing equipment in hospitals.In order to realize rapid and accurate diagnosis of skin diseases on Internet of things (IoT) mobile devices, a real-time diagnosis system of multiple categories of skin diseases based on inverted residual visual geometry group (IR-VGG) was proposed.The contour detection algorithm was used to segment the lesion area of skin image.The convolutional block of the first layer of VGG16 was replaced with reverse residual block to reduce the network parameter weight and memory overhead.The original image and the segmented lesion image was inputed into IR-VGG network, and the dermatological diagnosis results after global and local feature extraction were outputed.The experimental results show that the IR-VGG network structure can achieve 94.71% and 85.28% accuracy in Skindata-1 and Skindata-2 skin diseases data sets respectively, and can effectively reduce complexity, making it easier for the diagnostic system to make real-time skin diseases diagnosis on IoT mobile devices.…”
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Predicting GPR Signals from Concrete Structures Using Artificial Intelligence-Based Method by Wael Zatar, Tu T. Nguyen, Hai Nguyen

“…It is shown that the “trainlm” learning algorithm produced the high accuracy prediction of the reflection amplitude of GPR signals. …”
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Exergy Analysis in Hydrogen-Air Detonation by Abel Rouboa, Valter Silva, Nuno Couto

“…Implicit total variation diminishing (TVD) algorithm, based on Riemann solver, is solved. The typical diagrams of exergy balances of hydrogen detonation in air are calculated for each case. …”
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Influence of Hysteresis on the Vibration Control of a Smart Beam with a Piezoelectric Actuator by the Bouc–Wen Model by Ting Zhang

“…Furthermore, the Bouc–Wen model is adopted to describe the hysteresis property of a smart beam and the hysteresis parameters of the hysteresis model are identified with a genetic algorithm. Based on the identification results, the hysteresis model is validated to represent the hysteresis property of the smart beam. …”
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Bionics Design of Artificial Leg and Experimental Modeling Research of Pneumatic Artificial Muscles by Hualong Xie, Zhijie Li, Fei Li

“…Finally, the virtual prototype technology is used to build a joint simulation platform, and PID control algorithm is used for verification simulation. The results show that the artificial leg can follow the target trajectory.…”
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Optimal control of a Bose-Einstein condensate in an opticallattice: the non-linear and two-dimensional cases by E. Dionis, B. Peaudecerf, S. Guérin, D. Guéry-Odelin, D. Sugny

“…We present two generalizations of the gradient-based algorithm, GRAPE, in the non-linear case and for a two-dimensional lattice. …”
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Deep Grassmannian multiview subspace clustering with contrastive learning by Rui Wang, Haiqiang Li, Chen Hu, Xiao-Jun Wu, Yingfang Bao

“…A novel approach was proposed in this study, termed deep Grassmannian multiview subspace clustering with contrastive learning (DGMVCL). The proposed algorithm initially utilized a feature extraction module (FEM) to map the original input samples into a feature subspace. …”
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Research on the Fault Diagnosis Method for Rolling Bearings Based on Improved VMD and Automatic IMF Acquisition by Ying Zhang, Anchen Wang

“…The mode number K and the penalty parameter α of VMD are automatically obtained through an optimal parameter searching process underpinned by the improved particle swarm optimization (PSO) algorithm with a variety of inertia weights. This improvement solves one of the major drawbacks of the conventional VMD method, that is, the need to manually set parameters. …”
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Performance Analysis and Comparison for High Maneuver Target Track Based on Different Jerk Models by Qinghai Meng, Bowen Hou, Dong Li, Zhangming He, Jiongqi Wang

“…Besides, the filter track is designed with UKF algorithm based on the four different models for the high-maneuvering target. …”
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Optimal Design of the Sealing Structure of a Hydraulic Cylinder on the Basis of a Surrogate Model by Hong Zhang, Yu Sun, Chenchen Li, Haoran Wang

“…Then, a surrogate model was fitted and optimised through a constrained Latin hypercube method, an interpolating recmultiquadric radial basis function method, and the genetic algorithm. The results indicate that the seal and seal groove structures obtained through optimisation with the surrogate model provide a superior sealing effect to unoptimised structures. …”
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Application of adaptive virtual synchronous generator based on improved active power loop in photovoltaic storage systems by Youzhuo Zheng, Yutao Xu, Yekui Yang, Long Hua, Yuqing Yang

“…Then, the adaptive inertia algorithm is incorporated into the active power loop of the VSG control, and an adaptive inertia control method based on the improved active power loop is proposed. …”
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An Ensemble Feature Selection Approach-Based Machine Learning Classifiers for Prediction of COVID-19 Disease by Md. Jakir Hossen, Thirumalaimuthu Thirumalaiappan Ramanathan, Abdullah Al Mamun

“…Different feature selection approaches including chi-square test, recursive feature elimination (RFE), genetic algorithm (GA), particle swarm optimization (PSO), and random forest are evaluated for their effectiveness in enhancing the classification accuracy of the machine learning classifiers. …”
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Seamless multimodality for passenger transportation in the Russian Federation by A. S. Stepanenko, A. S. Bolt, P. S. Bolt

“…The movement of financial and information flows and the algorithm of actions of the system participants are determined.…”
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Enhancing Vehicle Trajectory Quality: A Two‐Step Data Reconstruction Method Using Wavelet Transform and Normal Acceleration Value by Xia Zhang, Yacong Gao, Chenjing Zhou

“…And the vehicle trajectory data were reconstructed using Lagrange interpolation and Kalman filter algorithms. The approach was utilized on NGSIM trajectory data. …”
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Optimization Model of Traffic Sensor Layout considering Traffic Big Data by Xu Sun, Zixiu Bai, Kun Lin, Pengpeng Jiao, HuaPu Lu

“…The model is solved by the tolerant lexicographic method based on a genetic algorithm. A case study shows that the model reflects the influence of multisource data sharing and fault conditions and satisfies the origin-destination coverage constraint to achieve the multiobjective optimization of traffic sensor layout.…”
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