Computer simulation of stress-strain states in zygomatic bones after complex installation of implants by Timur Dibirov, Aleksey Drobyshev, Eduard Kharazyan, Nikolay Redko, Egor Pankov, Alexander Kozulin, Sergey Panin, Sergey Arutyunov

“…Based on the results of the FEM-based computer simulation, the algorithm was proposed for planning prosthetic treatment, which involves the iterative method for selecting both size and location of installing zygomatic implants depending on the results of the SSS calculation and the onset of a critical condition (primarily in bone tissue at the contact area with zygomatic implants).…”
Get full text

Kinematics Analysis and Trajectory Optimization of the Hybrid Welding Robot by Cai Ganwei, Ban Caixia, Tian Junwei, Zhang Kechen

“…The particle swarm optimization algorithm is used to optimize the time parameters, and the optimal time parameters that meet the positioning accuracy of the end of the welding machine manipulator are solved. …”
Get full text

A Front Water Recognition Method Based on Image Data for Off-Road Intelligent Vehicle by Haiwei Wang, Yibing Zhao

“…After we have built the experiment platform, the experiment results showed that this method is faster than Scale-Invariant Feature Transform algorithm in this case, which can satisfy the water detection accuracy and the real-time requirement. …”
Get full text

Improved Measurement Accuracy Based on Moving Sine-Wave Fitting for Ultrasonic Ranging by Xuanze Wang, Aihui Wang, Jinping Yin, Hang Zhao, Zhengqiong Dong, Yiyan Fan, Zhongsheng Zhai

“…To improve its measurement accuracy and speed, we proposed a new algorithm called “moving sine-wave fitting” to calculate the envelope of ultrasonic echo for each calibration point. …”
Get full text

An Artificial Intelligence Approach for Verifying Persons by Employing the Deoxyribonucleic Acid (DNA) Nucleotides by Raid Rafi Omar Al-Nima, Marwa Mawfaq Mohamedsheet Al-Hatab, Maysaloon Abed Qasim

“…This approach is called the artificial DNA algorithm for recognition (ADAR). It utilizes a unique identity for each person acquired from DNA nucleotides, and it can verify individuals efficiently with high performance. …”
Get full text

Agricultural Information Management Data Model Construction Based on Cloud Computing and Semantic Technology by Chunhang Wang, Zhe An

“…In order to improve the data retrieval and mining ability of agricultural information management system, an agricultural information management data model based on cloud computing and semantic technology was proposed. Fuzzy C-means algorithm is used for adaptive fusion and clustering of semantic association features of distributed data in large-scale information management systems; feature compressors are used to reduce the storage space dimension of large-scale information management system to improve the target data mining capability and adaptive scheduling capability of information management system. …”
Get full text

A hybrid data assimilation method based on real-time Ensemble Kalman filtering and KNN for COVID-19 prediction by SongTao Zhang, LiHong Yang

“…The approach integrates real-time Ensemble Kalman Filtering (EnKF) with the K-Nearest Neighbors (KNN) algorithm, combining dynamic real-time adjustments with pattern recognition techniques tailored to the specific dynamics of epidemics. …”
Get full text

Federated edge learning model based on multi-level proxy permissioned blockchain by GE Li’na, LI Haiao, WANG Jie

“…A federated task node selection algorithm based on reputation verification was devised to address the problem of zero or extremely poor credibility of edge clients. …”
Get full text

Research on test strategy for randomness based on deep learning by Dongyu CHEN, Hua CHEN, Limin FAN, Yifang FU, Jian WANG

“…In order to achieve better test performance, researches on the randomness test strategies based on deep learning were conducted, including the batch average strategy proposed by EUROCRYPT 2021 and the selection strategy for data unit size.By introducing the randomness statistical test model based on deep learning methods, the statistical distribution and test power expression of two test strategies were theoretically derived, and it was pointed out that: (i) the batch average strategy could amplify the prediction accuracy of the model, but it was prone to an increase in the probability of the second type of error in statistics, instead reducing the statistical test power; (ii) the smaller data units of the deep model generally obtained the more powerful statistical tests.Based on the above understanding, a new bit-level deep learning model was proposed for randomness statistical tests, which gained the advantage of prediction with 80 times fewer parameters and 50% samples, compared with the previous work on linear congruent generator (LCG) algorithm, and achieved significant prediction advantages with 10～20 times fewer parameters by extending the model to apply to 5～7 rounds of Speck, compared with the model proposed by Gohr.…”
Get full text

Optimal Method for Allocation of Tractors and Trailers in Daily Dispatches of Road Drops and Pull Transport by Hao Chen, Wenxian Wang, Birong Cheng, Min Zhou

“…Focusing on this mixed integer nonlinear problem, an improved ant search algorithm is designed. Finally, with Sichuan’s Anji Logistics Enterprise as the background, this tractor scheduling optimization model is applied to an ideal network and a real scenario. …”
Get full text

Opening tasks, opening minds – a rediscovery of the open-ended approach by Kalina Jastrzębowska

“…Primary school students in Poland are usually offered algorithmic and rote teaching methods and are thus very often deprived of important elements of successful mathematics learning. …”
Get full text

Maintaining Wireless Connectivity Constraints for Robot Swarms in the Presence of Obstacles by Joel M. Esposito

“…A potential field-based optimization algorithm is provided, along with a novel composition scheme, and its operation is demonstrated through both simulation and experimentation on a group of small robots.…”
Get full text

Driver Fatigue Detection Method Based on Human Pose Information Entropy by Taiguo Li, Tiance Zhang, Yingzhi Zhang, Liben Yang

“…Information entropy and sliding window algorithm are applied to analyse and calculate sufficient consecutive video frames to obtain more robust and accurate fatigue-related values than by using a single frame. …”
Get full text

Study of Suspension Parameters Matching to Enhance Vehicle Ride Comfort on Bump Road by Jin Gao, Xiaoping Qi

“…Finally, the vehicle ride comfort is enhanced after optimization and matching of the suspension parameters by NSGA-II optimization algorithm.…”
Get full text

A large synthetic dataset for machine learning applications in power transmission grids by Marc Gillioz, Guillaume Dubuis, Philippe Jacquod

“…This manuscript presents a large synthetic dataset of power injections in an electric transmission grid model of continental Europe, and describes the algorithm developed for its generation. The method allows one to generate arbitrarily large time series from the knowledge of the grid – the admittance of its lines as well as the location, type and capacity of its power generators – and aggregated power consumption data, such as the national load data given by ENTSO-E. …”
Get full text

Fault Diagnosis of Crane Gearbox based on Variational Mode Decomposition and PSO-SVM by Wubang Yang, Bingpeng Gao, Fei Chen, Xinghe Zhang, Weidong Ma

“…The experimental results show that the SVM model based on VMD improved wavelet signal preprocessing and PSO algorithm has high recognition accuracy and can effectively and accurately identify and classify the fault types of the crane gearbox.…”
Get full text

Two-Dimensional DOA Estimation for Monostatic MIMO Radar with Electromagnetic Vector Received Sensors by Guimei Zheng, Jun Tang

“…The proposed angle estimation algorithm can be applied to the arbitrary and unknown array configuration, which can be summarized as follows. …”
Get full text

Generative text steganography method based on emotional expression in semantic space by Yuling LIU, Cuilin WANG, Zhangjie FU

“…Aiming at the problems that “over optimizing” the quality of steganographic text and lack of constraints on the semantic expression of the generated steganographic text in existing generative text steganography methods, a generative text steganography method was proposed based on emotional expression in semantic space.In order to make use of the scene fusion provided by the new media platform to obtain many camouflage scenes, the focus was how to use the unsupervised extraction model to extract the emotional expression combination candidate set from the original data set, then sort the candidate set of emotional expression combinations based on the improved bipartite graph sorting algorithm to obtain the emotional expression combination set, map them to the semantic space, and then implement embedding secret information while generating the user’s opinions based on the emotion expression combinations.Experimental results show that, compared with the existing generative text steganography methods in semantic space, the product reviews generated by the proposed method have a minimum perplexity of 10.536, and have a strong correlation with the chosen product, which can further guarantee the cognitive concealment of steganographic texts.At the same time, the proposed method can also be effectively used in the field of secure and confidential communication, and can avoid the senders being traced and analyzed.…”
Get full text

RESEARCH ON RELIABILITY ASSESSMENT METHOD OF MECHANICAL SYSTEM CONSIDERING MULTIPLE FAILURE STATES by HU QiGuo, DU ChunChao, CAO LiJie, SHENG HuiMin

“…Combining the characteristics of interval fuzzy subsets and Bayesian networks, a solution algorithm for leaf node failure probability, interval fuzzy importance, and interval fuzzy posterior probability is obtained under the condition of knowing only the root node failure status. …”
Get full text

Optimizing Product Configuration Problems with Multisourcing Supplier Selections under Both Carbon Cap and Carbon Tax Regulations by Jia Li, Dong Yang

“…A two-stage approach that combines both Particle Swarm Optimization (PSO) and a greedy algorithm is presented to solve the product configuration problems with carbon emission concerns. …”
Get full text