A Piezoresistive Pressure Sensor Modeling by Artificial Neural Networks by Behzad Hadi, Farzin Shama, Hamid Sherafat Vaziri, Mohsen Eghbalkhah

“…<p>An efficient artificial neural network (ANN) model for a pressure sensor is presented in this paper. …”
Get full text

Optimal Design of an Ultrasmall SOI-Based 1 × 8 Flat-Top AWG by Using an MMI by Hongqiang Li, Yaoting Bai, Xiaye Dong, Enbang Li, Yang Li, Yu Liu, Wenqian Zhou

“…In the design for each method, SOI is selected as the material, the beam propagation method is used, and the performances (including the 3 dB passband width, the crosstalk, and the insertion loss) of the flat-top AWG are studied. …”
Get full text

PoseAlign network for hybrid structure in 2D human pose estimation by Jin Zhang, Yabo Yin, Wenzhong Yang, Doudou Ren, Danny Chen

“…Additionally, we observe varying contributions of different output features to the final performance. We introduce an efficient attention mechanism called Point Reposition Attention, which balances the local and global representations of output features and optimizes keypoint location predictions through rescaling. …”
Get full text

In Situ Thrust Measurement of Fish During Locomotion; Test Case: Sharks by Braedon Payne, Bryan A. Keller, Daniel Weihs, Roi Gurka

“…ABSTRACT We present a novel method of measuring thrust of aquatic animals using in situ video data of swimming motions. …”
Get full text

Power System State Estimation through Optimal PMU Placement and Neural Network using Whale Algorithm by SeyedHamed MirMohammadAli Roudaki, Mehrdad Abedi, Iraj Pourkeivani

“…The efficient operation and planning along with security of power systems have always occupied an important position. …”
Get full text

Economic evaluation and investment decision-making process of deep coalbed methane exploration and development projects by Youjin DAI, Fengyin XU, Feng WANG, Pengfei MA, Yun YANG, Jian YUN, Jie XU, Xiaoyi SUN, Shan CHENG, Yuxin LI

“…The scientific and reasonable economic evaluation of exploration and development projects and investment decision-making are two crucial and urgent challenges in achieving the efficient development of deep coalbed methane. In light of the characteristics of deep coalbed methane resource development and economic evaluation, an evaluation method and indicators based on the discounted cash flow method are constructed and applied to the typical simulated development project A in Daning-Jixian block on the eastern margin of the Ordos Basin. …”
Get full text

Analysis of a Substrate Integrated Waveguide Hybrid Ring (Rat-Race) Coupler by Ramin Dehdasht-Heydari, Keyvan Forooraghi, Mohammad Naser-Moghadasi

“…This paper presents an efficient analysis of a substrate integrated waveguide (SIW) single-layer hybrid ring coupler (rat-race) for millimeter-wave and microwave applications. …”
Get full text

Robust control and data reconstruction for nonlinear epidemiological models using feedback linearization and state estimation by Balázs Csutak, Gábor Szederkényi

“…To illustrate the capabilities and robustness of the proposed method, we carry out multiple case studies for output tracking and data reconstruction on Swedish and Hungarian data, all in the presence of serious model and parameter mismatch. …”
Get full text

Transient Selection During Vaccinia Virus Recombination with Insertion Vectors Without Selectable Markers by Michael G. Kurilla

“…Following recombination, the output virus can be plated on cells without any further selection and screened for recombinant virus. …”
Get full text

An effective and open source interactive 3D medical image segmentation solution by Yi Gao, Xiaohui Chen, Qinzhu Yang, Andras Lasso, Ivan Kolesov, Steve Pieper, Ron Kikinis, Allen Tannenbaum, Liangjia Zhu

“…First, we proposed an efficient and effective 3D interactive algorithm with the adaptive dynamic programming method. …”
Get full text

Aero Engine Component Fault Diagnosis Using Multi-Hidden-Layer Extreme Learning Machine with Optimized Structure by Shan Pang, Xinyi Yang, Xiaofeng Zhang

“…Meanwhile it controls the model complexity and needs far less hidden nodes than multi-hidden-layer ELM, thus saving computer memory and making it more efficient to implement. All these advantages make our method an effective and reliable tool for engine component fault diagnosis tool.…”
Get full text

State of Charge Estimation for Lithium-Ion Battery Based on Fractional-Order Kreisselmeier-Type Adaptive Observer by Tomoki Murakami, Hiromitsu Ohmori

“…Firstly, we constructed a fractional-order battery model that includes pseudo-capacitance and determined the values of the circuit elements offline using the least squares method from actual input–output data based on the driving profile of an automobile. …”
Get full text

Design of 30 A PWM Type Solar Charge Controller Module for 100 Watt Lamp Load by Ilmir Rizki Imaduddin, Muhammad Hasan Basri, Abdul Mujib, Moh. Taufiqur Rahman, Ahmad Vardin Khairudin, Sefri Aditya Eka, Moh. Husen, Isbet Fatoni

“…In reality, this alternative energy has not been widely used due to the constraints of expensive initial investment, so it is necessary to design solar power generation components, one of which is a reliable, optimal, efficient and economical solar charge controller. The controller is made using the switching method. …”
Get full text

Research on control strategy for energy management of hydrogen-electric hybrid vehicles in urban rail transit applications based on fuzzy control by LI Hongwei, CHEN Limei, GAO Yang, WANG Jian, SHI Lei, XIANG Weiran

“…Moreover, a trapezoidal membership function and the Mamdani fuzzy inference method were employed for fuzzy processing. Simulation results show that hybrid power urban rail vehicles utilizing an energy management strategy based on fuzzy control effectively balance train power demands, the output characteristics among fuel cell systems, and supercapacitor systems, and achieve improved fuel economy and system efficiency through real-time adjustments of energy allocation. …”
Get full text

High Power Self-Q-Switching in Nd:LuAG Laser by Guangju Zhang, Xing Fu, Yijie Shen, Mali Gong

“…The compact cavity generating pulses with high output power and high repetition rate not only reveal that the self-Q-switching technique could be an efficient method for the generation of pulses with high output power and high repetition rate, but enrich the characteristics of Nd:LuAG crystal.…”
Get full text

Design and control of a DC-DC buck converter using discrete Takagi-Sugeno fuzzy models by A. Ayada, D. Guiza, D. Ounnas, N. Tidjani

“…This paper introduces an innovative fuzzy tracking control that integrates time-discrete T-S models and VDVs concept to develop an efficient digital controller. Goal. The proposed fuzzy control strategy aims to regulate the output voltage regardless of sudden change in setpoint, load variation and change in input voltage. …”
Get full text

An Integrated CEEMDAN to Optimize Deep Long Short-Term Memory Model for Wind Speed Forecasting by Yingying He, Likai Zhang, Tengda Guan, Zheyu Zhang

“…Accurate wind speed forecasting is crucial for the efficient operation of renewable energy platforms, such as wind turbines, as it facilitates more effective management of power output and maintains grid reliability and stability. …”
Get full text

A Space-Borne Ka-Band Tile-Type Phased Array Transmitter Module Based on HTCC Technology by Hui Xu, Kaixue Ma, Shuantao Li, Gaojian Liu

“…The proposed Ka-band transmitter module exhibits a gain of ≥26 dB, an output power of ≥21 dBm, and an overall efficiency of the component of ≥40%. …”
Get full text

Parameter Optimization of MIMO Fuzzy Optimal Model Predictive Control By APSO by Adel Taieb, Moêz Soltani, Abdelkader Chaari

“…This paper introduces a new development for designing a Multi-Input Multi-Output (MIMO) Fuzzy Optimal Model Predictive Control (FOMPC) using the Adaptive Particle Swarm Optimization (APSO) algorithm. …”
Get full text

Research on multi dimensional feature extraction and recognition of industrial and mining solid waste images based on mask R-CNN and graph convolutional networks by Shuqin Wang, Na Cheng, Yan Hu

“…Abstract Aiming at the problems of traditional methods for multi-dimensional feature extraction of industrial and mining solid waste images, such as single feature extraction, difficult fusion, missing high-order features, weak generalization ability and low computational efficiency, an innovative solution combining Mask R-CNN with Graph Convolutional Networks (GCN) was proposed to achieve automatic, multi-dimensional and efficient feature extraction. …”
Get full text