Design of Optimization Method for Light Energy Utilization in Fiber Optic Day-lighting System by WANG Yifang, JIA Xiaoyu, YU Chunrong

“…【Methods】A fiber optic probe structure is designed to address the issue of real-time alignment of sunlight, targeting the nonlinear response of zenith angle. …”
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Research on Reactor Radiation Shielding Optimization Method Based on Multi-objective Evolutionary Algorithm by LIU Chengwei1, 2, CHEN Zhenping1, 2, , YANG Chao1, 2, ZHANG Huajian1, 2, SUN Aikou1, 2, LEI Jichong1, 2, YU Tao1, 2

“…In summary, the proposed method effectively addresses the challenges of multi-objective optimization in radiation shielding design. …”

Multi-Timescale Battery-Charging Optimization for Electric Heavy-Duty Truck Battery-Swapping Stations, Considering Source–Load–Storage Uncertainty by Peijun Shi, Guojian Ni, Rifeng Jin, Haibo Wang, Jinsong Wang, Zhongwei Sun, Guizhi Qiu

“…To mitigate this, this paper proposes a multi-timescale battery-charging optimization for electric heavy-duty truck battery-swapping stations, taking into account the source–load–storage uncertainty. …”
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Ecological networks construction and optimization in the Longdong Loess Plateau: The advantages of self-organizing map and complex networks by Xueyu Huang, Lina Xiu, Zhixiang Lu, Jiahui Wang

“…We used this method to identify different types of ecological sources. …”
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Integrating Mobile Devices and Wearable Technology for Optimal Sleep Conditions by You-Kwang Wang, Chien-Yu Chen

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A Three-Dimensional Complex Measurement Model-Based Avionic Radio-Frequency Power Source Health Assessment Method by Lin Huo, Shiqi Li, Simiao Fei, Chuan Lyu

“…Therefore, a new health measurement method for the avionic radio-frequency power source based on a three-dimensional complex measurement model is proposed. …”
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Lighting Spectrum Optimization With Deep Learning for Moss Species Classification by Kenichi Ito, Pauli Falt, Markku Hauta-Kasari, Shigeki Nakauchi

“…Additionally, adequate lighting is crucial for detailed imaging in dark environments lacking ambient light. Hence, we propose a method for obtaining spectral information on moss in the forest using a deep learning model to train convolutional neural network models while optimizing a suitable light source for moss identification. …”
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Comparison and Optimization of Sr Isotope Analysis in Carbonate Rocks by Multiple-step Leaching Method by Xu PAN, Ziwei SUN, Jiwei GAO, Hongmei GONG, Xiaohong WANG, Meng DUAN, Yuanyuan XIAO

“…In the future, the experimental methods will be further improved to encompass samples from diverse sources and varying purity, thereby ensuring the reliability and universality of the experimental approach.…”
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Affinely adjustable robust optimal scheduling of a power system considering the flexibility of supply and demand by Yumin Zhang, Yongchen Zhang, Xizhen Xue, Xingquan Ji, Yunqi Wang, Pingfeng Ye

“…This paper proposes a stochastic power system dispatch method based on affinely adjustable robust optimization (AARO) with a generalized linear polyhedron (GLP) uncertainty set that can accurately quantify the flexibility of the power system supply and demand as well as enhance the optimality of dispatch strategies. …”
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Probabilistic Optimization Method for Pilot-Bus Selection and Network Partitioning of AC/DC System by Wei YAN, Biao YANG, Jingshan MO, Youbin ZHOU, Tao WANG, Fan XIAO

“…To ensure higher voltage control ability of regional power supply to the converter bus, a probabilistic optimization method for pilot-bus selection and network partitioning of AC/DC system is proposed in this paper. …”
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Deep learning vulnerability detection method based on optimized inter-procedural semantics of programs by Yan LI, Weizhong QIANG, Zhen LI, Deqing ZOU, Hai JIN

“…In recent years, software vulnerabilities have been causing a multitude of security incidents, and the early discovery and patching of vulnerabilities can effectively reduce losses.Traditional rule-based vulnerability detection methods, relying upon rules defined by experts, suffer from a high false negative rate.Deep learning-based methods have the capability to automatically learn potential features of vulnerable programs.However, as software complexity increases, the precision of these methods decreases.On one hand, current methods mostly operate at the function level, thus unable to handle inter-procedural vulnerability samples.On the other hand, models such as BGRU and BLSTM exhibit performance degradation when confronted with long input sequences, and are not adept at capturing long-term dependencies in program statements.To address the aforementioned issues, the existing program slicing method has been optimized, enabling a comprehensive contextual analysis of vulnerabilities triggered across functions through the combination of intra-procedural and inter-procedural slicing.This facilitated the capture of the complete causal relationship of vulnerability triggers.Furthermore, a vulnerability detection task was conducted using a Transformer neural network architecture equipped with a multi-head attention mechanism.This architecture collectively focused on information from different representation subspaces, allowing for the extraction of deep features from nodes.Unlike recurrent neural networks, this approach resolved the issue of information decay and effectively learned the syntax and semantic information of the source program.Experimental results demonstrate that this method achieves an F1 score of 73.4% on a real software dataset.Compared to the comparative methods, it shows an improvement of 13.6% to 40.8%.Furthermore, it successfully detects several vulnerabilities in open-source software, confirming its effectiveness and applicability.…”
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Enhancement method of series hybrid ship energy efficiency for speed and energy collaborative optimization by Yupeng Yuan, Xiaoyu Wang, Liang Tong, Chengqing Yuan, Boyang Shen, Teng Long

“…Our findings demonstrated that this optimization method can distribute the output of the power source in a better way, thereby optimising the speed of the vessel and maintaining stable sailing. …”
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Optimized Method to Generate Well-Characterized Macrophages from Induced Pluripotent Stem Cells by Qimin Hai, Peter Bazeley, Juying Han, Gregory Brubaker, Jennifer Powers, Claudia M. Diaz-Montero, Jonathan D. Smith

“…<b>Methods</b>: We refined the traditional embryoid body-based differentiation strategy to create a novel three-phase method that optimizes yield, consistent quality, and reproducibility. …”
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Research on the Modelling and Analysis of the Penetration of Renewable Sources and Storage into Electrical Networks by Eva Simonič, Sebastijan Seme, Klemen Sredenšek

“…To address the growing integration of renewable energy sources and storage systems into distribution networks, there is a need for effective tools that can assess the impact of these technologies on grid performance. …”
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Apple Yield Estimation Method Based on CBAM-ECA-Deeplabv3+ Image Segmentation and Multi-Source Feature Fusion by Wenhao Cui, Yubin Lan, Jingqian Li, Lei Yang, Qi Zhou, Guotao Han, Xiao Xiao, Jing Zhao, Yongliang Qiao

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Analysis of Specific Perfluorohexane Sulfonate Isomers by Liquid Chromatography-Tandem Mass Spectrometry: Method Development and Application in Source Apportionment by Liping Yang, Xin Chen, Lingyan Zhu, Yixin Wang, Guoqiang Shan

“…Characterization of perfluorohexane sulfonate (PFHxS) isomers, a chemical proposed for listing under the Stockholm Convention, is important to elucidate its environmental behaviors and sources. Optimized chromatographic separation coupled with monitoring of the characteristic fragments enabled the identification of four mono-substituted and two di-substituted branched PFHxS isomers. …”
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River Channel Microgeomorphic Feature Extraction and Potential Sandstorm Source Identification Method Based on a Convolutional Autoencoder Model by Kecong Wu, Lirong Chen, Yalige Bai, Xinhang Wang, Danzeng Pingcuo, Zhongpeng Han, Chengshan Wang

“…The results show that this method can effectively identify river microtopographic features and potential sandstorm sources.…”
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Optimizing cyanobacterial hydrogen production: metabolic and genetic strategies with glycerol supplementation by Ayshat M. Bozieva, Makhmadyusuf K. Khasimov, Mahipal S. Rao, Maria A. Sinetova, Roman A. Voloshin, Dmitry O. Dunikov, Dmitry O. Dunikov, Anatoly A. Tsygankov, Yoong Kit Leong, Yoong Kit Leong, Jo-Shu Chang, Jo-Shu Chang, Jo-Shu Chang, Jo-Shu Chang, Suleyman I. Allakhverdiev, Suleyman I. Allakhverdiev, Suleyman I. Allakhverdiev, Barry D. Bruce, Barry D. Bruce, Barry D. Bruce

“…However, improving hydrogen yields requires strategic metabolic and genetic modifications to optimize energy flow and overcome photosynthetic limitations.MethodsFour cyanobacterial species were evaluated for their hydrogen production capacities under varying experimental conditions. …”
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Twinkle: A GPU-based Binary-lens Microlensing Code with the Contour Integration Method by Suwei Wang, Lile Wang, Subo Dong

“…Both GPU and CPU versions of Twinkle are open-source and publicly available.…”
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Research on System Performance of Air-source Transcritical CO2 Heat Pump by Zhao Zongbin, Song Yulong, Bao Jihu, Lu Lei, Li Hongzhe, Guo Yang, Zhu Fenglei

“…Based on a theoretical analysis of an air-source transcritical CO2 heat pump system, a mathematical model for the compressor was developed using an efficiency analysis in this study. …”
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