Developing a 160 kW continuous wave circulator for the P-band high-frequency system of the Wuhan light source by XIAO Chengcheng, ZHANG Qiang, WANG Cheng, ZHANG Junqiang, FANG Wencheng, XU Yiming

“…BackgroundSolid-state amplifiers of synchrotron radiation high-frequency cavity equipment may sustain unrecoverable damage due to the excessive reflected power resulting from load detuning, a high-power circulator is used to guide the reflected power to the absorbing load and thus protect the power source. In this case, if the reflected power suddenly increases during device operation, the temperature of the circulator cavity will be risen and the parameter characteristics of the gyromagnetic ferrite will be changed in the circulator, and eventually lead to poor absorption of the reflected power by the load.PurposeThis study aims to design and develop a circulator with a temperature compensation control unit, capable of functioning at 499.654 MHz with a 160 kW continuous wave radiofrequency power.MethodsFirstly, the circulator was simulated and optimized using the HFSS software. …”
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Application of simulated annealing algorithm in multi-objective cooperative scheduling of load and storage of source network for load side of new power system by Xinming Wang, Huayang Liang, Xiaobo Jia, Shihui Li, Shengyang Kang, Yan Gao

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Adaptive landslide monitoring in wireless sensor networks using FLPSO-based MIP systems by Lingaraj K, Rashmi Laxmikant Malghan, KarthiK Rao M C, Lalit Garg

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Energy efficiency and productivity improvements analysis in a Brazilian steel plant: simulation model using JaamSim open source software by Rodrigo de Paula Oliveira, Wilson Trigueiro de Sousa Júnior, Roberta Alves, Alexandre Ferreira de Pinho, Helio Tavares de Sá Neto

“…Abstract The Brazilian steel sector, inserted in a scenario of crisis and competitiveness, is going through a moment when optimization procedures in the production process are well regarded. …”
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Prediction of stock market using sentiment analysis and ensemble learning by Dr․ Archana Y. Chaudhari, Dr․ Smita Mahajan

“…The created computational framework intends to deliver actionable insights, directing investors on optimal buy or sell decisions to maximize profit potential by synthesizing historical data within customized training and trading scenarios. • This study implements the Stock market prediction based on Deep Reinforcement Learning (DRL) using Technical Analysis and financials’ statement. • DRL models like A2C, PPO2, and SAC, using data from Yahoo Finance, enhance investment decisions. • The proposed Policy Adaptation with Trust Region Optimization (PACTRO) method optimizes policy adaptation within trust regions. • Key technical indicators like ROC, MACD, Bollinger Bands, and RSI are crucial inputs for the prediction framework, helping guide optimal investment decisions.…”
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Study on application-oriented evaluation method for stealth materials by CUI Yiwen, LI Peishan, MA Lianfeng, ZHOU Hai

“…The method improves the shape of the test specimen to weaken the interference of the non-examination scattering source on the test results as much as possible. …”
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Optimization for threat classification of various data types-based on ML model and LLM by Chaerim Hong, Taeyeon Oh

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Study on Optimization of Geothermal Tail Water Reinjection Process in Moderately Deep Sandstone by Hongyan Li, Pengtao Wang, Bin Liu, Xianyu Zhang, Shiyan Guo, Hui Xiao, Hai Huang

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Detection of child depression using machine learning methods. by Umme Marzia Haque, Enamul Kabir, Rasheda Khanam

“…As a result, our objective is to 1) create a model that can predict depression in children and adolescents aged 4-17 years old, 2) evaluate the results of ML algorithms to determine which one outperforms the others and 3) associate with the related issues of family activities and socioeconomic difficulties that contribute to depression.<h4>Methods</h4>The YMM, the second Australian Child and Adolescent Survey of Mental Health and Wellbeing 2013-14 has been used as data source in this research. …”
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Mapping cropland in Yunnan Province during 1990–2020 using multi-source remote sensing data with the Google Earth Engine Platform by Meiqi Wang, Liang Huang, Bo-Hui Tang, You Yu, Zixuan Zhang, Qiang Wu, Jiapei Cheng

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Optimization of Calculating Invariants in Petri Nets to Support the Creation of Integration Testing Scenarios by M. G. Dorrer, V. V. Kurokhtin

“…The method uses an original translation process to build a Petri net corresponding to the source eEPC model, to find its invariants and to translate them back into the eEPC notation. …”
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Importance-Aware Resource Allocations for MIMO Semantic Communication by Yue Cao, Youlong Wu, Lixiang Lian, Meixia Tao

“…Systematic experiments validate CIBA’s effectiveness in deriving importance scores that bridge learning tasks and communication optimization. Comparisons of feature perturbation schemes confirm the necessity of importance-aware resource allocation, with the proposed allocation strategy outperforming conventional methods in task performance metrics. …”
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Optimizing Solar Panel Efficiency: Integration of Dual Axis Solar Tracking and Reflectors by Alvin Rinaldi Wiharja, Levin Halim, Faisal Wahab

“…The dual-axis solar tracking method, using two linear actuators and optimized by fuzzy logic, efficiently positions solar panels for maximum sunlight exposure. …”
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Comparative analysis of geothermal and reservoir numerical simulation methods by GAI Changcheng, LI Hongda, REN Lu, CAO Wei, HAO Jie

“…By comparing the foundational mathematical models, numerical methods, and case studies of geothermal and reservoir simulations, this study highlights the similarities and differences in their application to the development of these two energy sources. …”
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An Analytical Approach to Power Optimization of Concentrating Solar Power Plants with Thermal Storage by Andrii Cheilytko, Spiros Alexopoulos, Andriy Pozhuyev, Oliver Kaufhold

“…In addition, the use of additional factors and the combination of the proposed method with existing numerical methods allows for more refined optimization, which allows for the more accurate selection of the capacity for specific geographical conditions. …”
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Adaptive Optimal Dispatching of Flexible Interconnected Distribution System Based on Dynamic Weight by DENG Zhengdong, ZHU Xiaoli, DUAN Junpeng, LIU Shifang, WANG Yaoqiang

“…Meanwhile， compared with the traditional multi-objective optimization solving method， the proposed dynamic weight coefficient determination method can track the system structure and operational demand and realize the synergistic optimization of the system economy and voltage deviation.…”
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Characteristics and Optimization of Transient Process of Pump-Turbine Units in Power Generation Mode by Minglu Zhang, Jie Liu, Junqin Yu, Changhua Nie

“…Pumped storage power is considered an ideal regulated power source for new energy. However, the traditional one-dimensional characteristic line method cannot predict the pulsating pressure caused by the reverse “S” characteristic of a pump–turbine. …”
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Pot Skirt Configuration on the UB-03 Biomass Stove: Taguchi Approach Optimization by Bayu Rudianto, Maghriza Iskhak, Dedy Eko Rahmanto, Miftah Hijriawan

“…This study used the Water Boiling Test (WBT) method for experimental testing. In addition, the Taguchi method was used to analyze the data obtained. …”
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Design of a Novel UWB Omnidirectional Antenna Using Particle Swarm Optimization by Chengyang Yu, Tanghong Xu, Changjun Liu

“…A UWB E-plane omnidirectional microwave antenna is designed and fabricated for IEEE 802.11a communication system and microwave magnetron source system as a radiation monitor. A cooptimization method based on particle swarm optimization (PSO) algorithm and FDTD software is presented. …”
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Optimizing Pre-Trained Code Embeddings With Triplet Loss for Code Smell Detection by Ali Nizam, Ertugrul Islamoglu, Omer Kerem Adali, Musa Aydin

“…This study aims to create a contrastive learning-based system to explore the potential of a generic method for enhancing code embedding for code classification tasks. …”
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