Trajectory Planning of an Intermittent Jumping Quadruped Robot with Variable Redundant and Underactuated Joints by Jun Zhong, Minzhou Luo, Jizhuang Fan, Jie Zhao

“…A jumping experiment is performed and validates the effectiveness of the proposed trajectory algorithm.…”
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Digital Melting Curve Analysis for Multiplex Quantification of Nucleic Acids on Droplet Digital PCR by Xiaoqing Dai, Meng Cao, Zunliang Wang

“…We developed a convolutional neighborhood search algorithm to correct droplet displacement during heating, ensuring precise tracking and accurate extraction of melting curves. …”
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The Optimized Multivariate Grey Prediction Model Based on Dynamic Background Value and Its Application by Tongfei Lao, Xiaoting Chen, Jianian Zhu

“…In order to further improve the prediction accuracy of the multivariate grey prediction models, this paper establishes a novel multivariate grey prediction model based on dynamic background values (abbreviated as DBGM (1, N) model) and uses the whale optimization algorithm to solve the optimal parameters of the model. …”
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Full-Vector Signal Acquisition and Information Fusion for the Fault Prediction by Lei Chen, Jie Han, Wenping Lei, Yongxiang Cui, Zhenhong Guan

“…After that, the sampling procedure and information fusion algorithm were analyzed. At last, the fault prediction method based on full-vector spectrum was proposed. …”
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Laboratory research for the chemical EOR projects: Case study in Serbia by Popić Darko, Pantić Jasna, Martinović Bojan, Crnogorac Miroslav

“…This drove us to analyze all our available resources and to develop a process algorithm that will give us best "value for money spent" in terms of time optimization, and developing testing methodology that will utilize equipment that is already available in our laboratory. …”
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Joint Optimization of Microstrip Patch Antennas Using Particle Swarm Optimization for UWB Systems by Muhammad Zubair, Muhammad Moinuddin

“…Moreover, we employ particle swarm optimization (PSO) algorithm for our problem as it is well known in the literature that PSO performs well in electromagnetic and antenna applications. …”
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Immunity-Based Optimal Estimation Approach for a New Real Time Group Elevator Dynamic Control Application for Energy and Time Saving by Mehmet Baygin, Mehmet Karakose

“…Nowadays, the increasing use of group elevator control systems owing to increasing building heights makes the development of high-performance algorithms necessary in terms of time and energy saving. …”
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Generating Deeply-Engineered Technical Features for Basketball Video Understanding by Shaohua Fang, Guifeng Wang, Yongbin Li, Yue Yu, Jun Li

“…Integrating basketball videos with human-computer interaction (HCI) algorithms significantly improves training efficiency. …”
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Energy Efficient Partial Permutation Encryption on Network Coded MANETs by Ali Khan, Qifu Tyler Sun, Zahid Mahmood, Ata Ullah Ghafoor

“…We have also proposed an algorithm for key generation and random permutation confusion key calculation. …”
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Nonstationary Random Vibration Performance of Train-Bridge Coupling System with Vertical Track Irregularity by Xiaozhen Li, Yan Zhu, Zhibin Jin

“…By introducing the pseudo excitation algorithm into the train-bridge interaction dynamic system, expressions of the mean value, standard deviation, and power spectral density of the nonstationary random dynamic responses of bridge and vehicles are derived. …”
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Pilot Design for Sparse Channel Estimation in Large-Scale MIMO-OFDM System by Chao Xu, Jianhua Zhang, Mengmeng Liu, Changchuan Yin

“…Based on this conclusion, this paper proposes a pilot design algorithm based on alternating projection and obtains a nonorthogonal pilot pattern. …”
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Dynamics Modeling and Parameters Identification Research on Rope Driven Biped Robot Legs by Zhu Zhenbiao, Tang Jun, Liang Zhiyuan, Li Qingdu

“…Firstly, a complete rope driven dynamic model is established, and the excitation trajectory generated by pattern recognition and algorithm optimization is used. Then, the optimized trajectory is implemented on actual robots, and the joint angles and current information are collected through the sensors. …”
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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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Regionalization of water quality parameters based on the landscape characteristics of small ungauged basins by Danilo Garofalo, Marcos Ferreira

“…The non-parametric k-nearest neighbour regression (K-NNR) algorithm was used to estimate the WQP values for the small sub-basins that lacked data. …”
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