Model-based analysis of construction design of technological adapter for magnetic-pulse processing of plants in horticulture by D. O. Khort, P. A. Filippov, A. I. Kutyrev

“…The article analyzes the features of design of an adapter unit for magnetic-pulse processing (MPP) of plants. …”
Get full text

Design of a Nonlinear Integral Terminal Sliding Mode Controller for a PEM Fuel Cell Based on a DC-DC Boost Converter by Farzana Akter, Tushar Kanti Roy, Md. Shofiqul Islam, Abdulhameed Fouad Alkhateeb, Md. Aslam Mollah

“…This paper proposes a robust nonlinear controller for a proton exchange membrane fuel cell coupled with a DC-DC boost converter. The key feature is to maintain the desired reference output voltage despite significant disturbances while improving transient stability. …”
Get full text

A web-based machine learning framework for building energy efficiency prediction by B.S.S.V. Ramana, S. Chanikya Kumar, N. Bharath Kumar, Attuluri R. Vijay Babu

“…This paper presents a web-based machine learning framework for estimating heating and cooling loads using static design parameters. The system, built using Flask and trained on the UCI Energy Efficiency dataset, compares Linear Regression and Random Forest models - achieving high accuracy with R2 scores of 0.9914 and 0.9623, respectively, for heating and cooling load predictions. …”
Get full text

Paucity of CD4+ natural killer T (NKT) lymphocytes in sooty mangabeys is associated with lack of NKT cell depletion after SIV infection. by Namita Rout, James G Else, Simon Yue, Michelle Connole, Mark A Exley, Mark A Exley, Amitinder Kaur

“…Lack of chronic immune activation in the presence of persistent viremia is a key feature that distinguishes nonpathogenic simian immunodeficiency virus (SIV) infection in natural hosts from pathogenic SIV and HIV infection. …”
Get full text

Alpha band cortico-muscular coherence occurs in healthy individuals during mechanically-induced tremor. by Francesco Budini, Lara M McManus, Marika Berchicci, Federica Menotti, Andrea Macaluso, Francesco Di Russo, Madeleine M Lowery, Giuseppe De Vito

“…However, during the contractions against the spring load, CMC in the alpha band was observed in 12 out of 13 volunteers. …”
Get full text

A Complementary Metal-Oxide Semiconductor (CMOS) Analog Optoelectronic Receiver with Digital Slicers for Short-Range Light Detection and Ranging (LiDAR) Systems by Yunji Song, Sung-Min Park

“…Also, the CCD-TIA utilizes cross-coupled PMOS-NMOS active loads not only to generate the symmetric output waveforms with maximized voltage swings, but also to provide wide bandwidth characteristics. …”
Get full text

Medium-Term Minimum Demand Forecasting Based on the Parallel LSTM-MLP Model by Dosung Kim, Deukyoung Lee, Sung-Kwan Joo, Young-Min Wi

“…In this paper, a medium-term minimum demand forecasting framework is proposed, which considers the various features that affect the load profiles: temperature, economic indicators, seasonal changes, and BTM PV capacity. …”
Get full text

Power flows in the hydrodifferential torque rectifier of the automatic stepless inertial transmission by Dmitriev S.A., Kovyryalova O.A.

“…The power flow does not flow through them under load, they perceive only the reactive flow, therefore there are no losses inherent in the volumetric hydraulic drive. …”
Get full text

GCS-YOLO: A Lightweight Detection Algorithm for Grape Leaf Diseases Based on Improved YOLOv8 by Qiang Hu, Yunhua Zhang

“…C2f-GR achieves lightweight design while effectively capturing detailed features of multi-scale information by replacing partial convolutions in C2f with Ghost Modules. …”
Get full text

Development of a wear coefficient equation for the A A7075-B4C composite – steel interface by Venkatrami Reddy Veduru, Ranjith R, Kanulla Karthik, P Sasirekha

“…In this research, an attempt was made to develop a wear equation for specific wear regimes that differs with temperature, sliding velocity, applied load, and sliding distance. The experimental runs were designed with the L25 Taguchi orthogonal array, and the uniform dispersion of reinforcement was confirmed using a scanning electron microscope. …”
Get full text

Optimizing energy and latency in edge computing through a Boltzmann driven Bayesian framework for adaptive resource scheduling by Dinesh Sahu, Nidhi, Rajnish Chaturvedi, Shiv Prakash, Tiansheng Yang, Rajkumar Singh Rathore, Idrees Alsolbi

“…Simulation analysis demonstrates that the new method can decrease energy consumption and average delay much lower than Round-Robin and threshold-based algorithms. The feature of temperature adaptation within Boltzmann further guarantees the achievement of the optimal scheduling actions while ensuring flexibility in the case or altering load percentages. …”
Get full text

Adaptive temporal compression for reduction of computational complexity in human behavior recognition by Haixin Huang, Yuyao Wang, Mingqi Cai, Ruipeng Wang, Feng Wen, Xiaojie Hu

“…The ATC module effectively reduces GPU computing load and time complexity with negligible loss of accuracy, thereby facilitating real-time human behavior recognition.…”
Get full text

Improved RT-DETR Framework for Railway Obstacle Detection by Peng Li, Yanhui Peng, Su-Mei Wang, Cheng Zhong

“…Building upon the RT-DETR framework, this study proposes a Multiscale Separable Deformable (MSD) module that integrates depthwise convolution with deformable convolution to enhance feature extraction capabilities while reducing computational load. …”
Get full text

Deep learning based model predictive control of active filter inverter as interface for photovoltaic generation by Amin Rasoulian, Hadi Saghafi, Mohammadali Abbasian, Majid Delshad

“…While 1D‐CNN benefits from the inherent strong feature extraction/selection capability and lower computational complexity than other deep methods, it still cannot properly track the dynamic changes due to fixed weights during the training process. …”
Get full text

Grouting Technique for Gob-Side Entry Retaining in Deep Mines by Xianyang Yu, Zhihong Sun, Min Deng, Jinlin Xin

“…Without grouting and supplementary support in retained rib, the surrounding rock-support load-bearing structure will be in a postpeak failure state, and the anchoring force of the bolting system will be greatly attenuated. …”
Get full text

Design of an Interleaved Boost Serial Resonant Converter With High Transformation Ratio for Fuel Cell Battery by Sen-Tung Wu, Jun-Teng Hong, Ching-Chun Chuang

“…The main architecture of this converter is a boost converter serial resonant converter, the first stage utilizes an interleaved boost converter to reduce input current ripple, In the second stage, a resonant converter is used, where power MOSFETs and rectifier diodes enable soft switching at an appropriate operating frequency. This feature improves efficiency by reducing losses caused by the hard switching of traditional circuits. …”
Get full text

Study of the System of Forces Acting on the Cutter-Oscillator Under Conditions of Turning With Vibration by Pavlo Tryshyn, Serhiy Dyadya, Olena Kozlova

“…These are governed by the cutter-oscillator’s mass and its response to cutting loads. An important feature of the system is the mutual interaction between these force groups, forming feedback loops that complicate analysis and control. …”
Get full text

Optimising the Selection of Input Variables to Increase the Predicting Accuracy of Shear Strength for Deep Beams by Mohammed Majeed Hameed, Faidhalrahman Khaleel, Mohamed Khalid AlOmar, Siti Fatin Mohd Razali, Mohammed Abdulhakim AlSaadi

“…The deep beam in load transfer is very important as well as difficult to design due to its shear stress problems. …”
Get full text

CSW-YOLO: A traffic sign small target detection algorithm based on YOLOv8. by Qian Shen, Yi Li, YuXiang Zhang, Lei Zhang, ShiHao Liu, Jinhua Wu

“…First, the bottleneck of the C2f module in the original yolov8 network is replaced with the residual Faster-Block module in FasterNet, and then the new channel mixer convolution GLU (CGLU) in TransNeXt is combined with it to construct the C2f-faster-CGLU module, reducing the number of model parameters and computational load; Secondly, the SPPF module is combined with the large separable kernel attention (LSKA) to construct the SPPF-LSKA module, which greatly enhances the feature extraction ability of the model; Then, by adding a small target detection layer, the accuracy of small target detection such as traffic signs is greatly improved; Finally, the Inner-IoU and MPDIoU loss functions are integrated to construct WISE-Inner-MPDIoU, which replaces the original CIoU loss function, thereby improving the calculation accuracy. …”
Get full text

Rolling Bearing Fault Diagnosis Method Based on Fusion of CNN and CSSVM by LI Yunfeng, LAN Xiaosheng, SHEN Hongchang, XU Tongle

“…The fault diagnosis classification model outputs the highest classification accuracy of 100% after training, and the accuracy is better than the other five fault diagnosis models in the anti-noise experiment and the variable load experiment. The results show that the combination of convolutional neural network to extract fault features and parameters to optimize the classification model structure of support vector machine can not only improve the diagnostic accuracy, but also have strong generalization performance.…”
Get full text