Study on Impact Excitation and System Dynamic Characteristics of Shield Machine Planetary Gear Train by Zeyin HE, Hongjian WU, Zhen YANG, Feng YI, ShiFeng PEI

“…These calculations determined the meshing force between internal and external gear pairs under different impact excitations, clarifying the dynamic evolution between impact excitation and gear pair meshing force. …”
Get full text

Universal Vector Calibration for Orientation-Invariant 3D Sensor Data by Wonjoon Son, Lynn Choi

“…We evaluated our algorithm on geomagnetic field-based indoor positioning and bidirectional step detection. …”
Get full text

Improved UWB-based indoor positioning system via NLOS classification and error mitigation by Shoude Wang, Nur Syazreen Ahmad

“…In terms of distance measurement error mitigation, the proposed AREKF algorithm reduced errors at the 95th percentile by 70% and 75% in two different environments compared to transfer learning methods on the same public dataset. …”
Get full text

Digital three-stage recursive-separable image processing filter with variable sizes of scanning multielement aperture by A. V. Kamenskiy, T. M. Akaeva, D. A. Grebenshchikova

“…In order to evaluate the performance of the filter, a comparison of the developed algorithm with the classical two-dimensional convolution algorithm was carried out. …”
Get full text

Multiobjective Route Optimization for Multimodal Cold Chain Networks Considering Carbon Emissions and Food Waste by Yong Peng, Yali Zhang, Dennis Z. Yu, Yijuan Luo

“…We evaluate the proposed algorithm’s performance by analyzing various convergence and distribution indicators. …”
Get full text

Research on Recommendation Model Based on Multi-round Dialogue of Large Language Model by CHANG Baofa, CHE Chao, LIANG Yan

“…Experiments results on Amazon’s three benchmark datasets, such as Instructions, Arts and Games, show that the model is better than the comparison baseline algorithm in the two evaluation indices of hit rate (HR) and normalized discounted cumulative gain (NDCG). …”
Get full text

A Framework for Human Activity Recognition Based on WiFi CSI Signal Enhancement by Jieming Yang, Yanming Liu, Zhiying Liu, Yun Wu, Tianyang Li, Yuehua Yang

“…Firstly, the sensitivity of different antennas to human activity was studied. An antenna selection algorithm was proposed, which can make a choice of the antenna automatically based on their sensitivity in accordance with different activities. …”
Get full text

Optimized Hierarchical Sliding Mode Control for the Swing-Up and Stabilization of a Rotary Inverted Pendulum by Duc-Binh Pham, Quy-Thinh Dao, Thi-Van-Anh Nguyen

“…Simulations were performed to evaluate the performance of the HSMC controller at different initial pendulum angles, demonstrating its effectiveness in achieving swing-up and stabilization. …”
Get full text

The Impact of Prediction Models on Energy-Aware Resource Management in FaaS Platforms by Shahrokh Vahabi, Francesca Righetti, Carlo Vallati, Nicola Tonellotto

“…Accurate time-series prediction models, which forecast the future number of function invocations, are crucial for energy-efficient function scheduling, enabling proactive resource allocation. In this work, we evaluate the impact of different neural time-series predictors based on Gaussian processes, recurrent neural networks, and transformer architectures in forecasting the number of function invocations. …”
Get full text

Filtering Techniques To Reduce Speckle Noise And Image Quality Enhancement Methods On Porous Silicon Images Layers by Tifouti Issam, Rahmouni Salah, Meriane Brahim

“…Recently, many studies have examined filters for reducing or removing speckle noise, which is inherent to different images types such as Porous Silicon (PS) images, in order to ameliorate the metrological evaluation of their applications. …”
Get full text

Growing Correspondence Seeds for Efficient and Accurate Satellite DSM Extraction by Amin Sedaghat, Nazila Mohammadi

“…The main property of the Sat-GCS method is the generation of a set of precise and dense tie-points in stage (2), used as initial correspondence seeds to improve the GCS algorithm in stage (4). The proposed method is evaluated on 12 different datasets from four different satellite sensors including ZY3-01, CartoSat-1, ZY3-02, and Worldview-3, and the results are compared with the CATALYST, SAT-MVSF, and SS-DSM methods. …”
Get full text

Potential G-quadruplexes and i-Motifs in the SARS-CoV-2. by Efres Belmonte-Reche, Israel Serrano-Chacón, Carlos Gonzalez, Juan Gallo, Manuel Bañobre-López

“…These sequences were evaluated by their in vitro formation probability, their position in the viral RNA, their uniqueness and their conservation rates (calculated in over seventeen thousand different COVID-19 clinical cases and sequenced at different times and locations during the ongoing pandemic). …”
Get full text

Unite and conquer approach for data clustering based on particle swarm optimization and moth flame optimization by E. Mosavi, S.A. Shahzadeh Fazeli, E. Abbasi, F. Kaveh-Yazdy

“…The  fficiency of the proposed approach is evaluated utilizing benchmark functions F1-F23. Its efficiency is evaluated with PSO and MFO algorithms on different datasets. …”
Get full text

Minimum Energy Demand Locomotion on Space Station by Wing Kwong Chung, Yangsheng Xu

“…To evaluate the performance of the proposed gaits and path planning algorithm, numerous simulations are performed. …”
Get full text

An intelligent stochastic optimization approach for air cargo order allocation under carbon emission constraints. by Zhenzhong Zhang, Ling Zhang, Deqiang Fu, Weichun Li

“…A new intelligent optimization method is introduced for addressing the order assignment problem under carbon emission constraints by combining the improved adaptive large-scale neighborhood search algorithm with the scenario generation technique. The method finds the optimal solution through an improved adaptive large-scale neighborhood search algorithm and uses a scenario generation technique to generate the scenarios required for evaluating candidate solutions to the high-dimensional stochastic optimization problem. …”
Get full text

Research on the Model of Industrial Interconnection Intelligent Manufacturing Supply and Demand Network and Its Robustness by Jianjia He, Tianyuan Zheng

“…The experimental results show that under the four different attack algorithms, compared with the BA model, the two models proposed in this paper have stronger robustness. …”
Get full text

Comparison of Seizure Detection Performances of Features Based on Wavelet Transform and Empirical Mode Decomposition by Erhan Bergil, Murat Yıldız

“…The generated feature matrices are applied to different classifiers as input. It is aimed to detect different epileptic stage. …”
Get full text

Laser-induced Breakdown Spectroscopy Based on Pre-classification Strategy for Quantitative Analysis of Rock Samples by Weiheng KONG, Lingwei ZENG, Yu RAO, Sha CHEN, Xu WANG, Yanting YANG, Yixiang DUAN, Qingwen FAN

“…However, the current multi-layer quantitative analysis model still exhibits some deviations in regard to different elements. In the future, a potential avenue is to consider integrating various algorithms to establish preliminary classification models, aiming for even better quantitative analysis outcomes.…”
Get full text

A machine learning-based approach for constructing a 3D apparent geological model using multi-resistivity data by Jordi Mahardika Puntu, Ping-Yu Chang, Haiyina Hasbia Amania, Ding-Jiun Lin, M. Syahdan Akbar Suryantara, Jui-Pin Tsai, Hwa-Lung Yu, Liang-Cheng Chang, Jun-Ru Zeng, Lingerew Nebere Kassie

“…Following evaluation via confusion matrix analysis, evaluation metrics, and examination of receiver operating characteristics curve, it emerged that the RF algorithm exhibits superior performance when applied to our multi-resistivity data set. …”
Get full text

Numerical Analysis of Digital Twin System Modeling Methods Aided by Graph-Theoretic Combinatorial Optimization by Sujing Zhou

“…Secondly, a scheduling technology framework for capacity simulation evaluation and optimization is established, and batching optimization, outsourcing decision, and rolling scheduling techniques are thus proposed to form a batching optimization algorithm based on priority rules, which realizes batching processing, outsourcing decision, and rolling scheduling of production orders to optimize equipment utilization and capacity. …”
Get full text