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Effective Data Balancing and Fine-Tuning Techniques for Medical sLLMs in Resource-Constrained Domains 认领 引用
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作者 Seohyun Yoo Joonseo Hyeon Jaehyuk Cho 《Computers, Materials & Continua》 SCIE EI 2026年第6期637-657,共21页
Despite remarkable advances in medical large language models(LLMs),their deployment in real clinical settings remains impractical due to prohibitive computational requirements and privacy regulations that restrict clo... Despite remarkable advances in medical large language models(LLMs),their deployment in real clinical settings remains impractical due to prohibitive computational requirements and privacy regulations that restrict cloud-based solutions.Small LLMs(sLLMs)offer a promising alternative for on-premise deployment,yet they require domain-specific fine-tuning that still exceeds the hardware capacity of most healthcare institutions.Furthermore,the impact of multilingual data composition on medical sLLM performance remains poorly understood.We present a resource-efficient fine-tuning pipeline that integrates Quantized Low-Rank Adaptation(QLoRA),Fully Sharded Data Parallelism(FSDP),and Sequence Packing,validated across two model scales:MedGemma 4B for efficiency analysis and LLaMA 3.370B for data balance experiments.Our approach achieves 58.3%reduction in video random access memory(VRAM)usage(from 48 GB to 20 GB)and 5×training speedup on MedGemma 4B using NVIDIA L40s GPUs.Critically,experiments on LLaMA 3.370B reveal that English-heavy data mixing(10:3 ratio)degrades Korean medical law performance by 1.23 percentage points while providing only marginal English gains(+1.49 pp),demonstrating catastrophic forgetting in multilingual medical fine-tuning.Our work provides three contributions:(1)a practical fine-tuning pipeline operable within 20 GB VRAM,(2)empirical evidence that data balance—not volume—determines multilingual medical QA performance,and(3)actionable guidelines for deploying medical sLLMs in non-English clinical environments. 展开更多
关键词 Medical LLM sLLM QLoRA FSDP sequence packing data balancing efficient fine-tuning
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基于FSDP图像和DCNN的无人机起落架关键件结构损伤智能检测方法 认领 引用 被引量：3
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作者 程哲 杨翼 胡茑庆 《中国科学：技术科学》 EI CSCD 北大核心 2023年第8期1372-1384,共13页
随着无人机的应用越来越广泛,与之相适应的保障手段也需与时俱进.在人工智能快速发展的情况下,故障诊断与人工智能方法相结合为无人机保障关键技术的跨越式发展提供了重要契机,也为无人机的使用安全性与运行可靠性水平的提升提供了重要... 随着无人机的应用越来越广泛,与之相适应的保障手段也需与时俱进.在人工智能快速发展的情况下,故障诊断与人工智能方法相结合为无人机保障关键技术的跨越式发展提供了重要契机,也为无人机的使用安全性与运行可靠性水平的提升提供了重要机遇.本文以结构健康监测中的超声信号分析方法为基础,针对无人机起落架关键结构件的损伤检测问题开展研究,结合深度学习模型,对结构件的损伤进行智能化检测,提高检测效率和检测精度.针对结构健康监测中损伤信号的非线性特点,提出了频谱对称点阵图案(frequency symmetrized dot pattern,FSDP)特征提取方法.在此基础上,提出了基于FSDP特征与深度卷积神经网络的损伤智能检测方法.在起落架T型构件实验环境中开展了结构损伤模拟与检测实验,通过实验数据验证了所提出的智能检测方法的有效性. 展开更多
关键词 无人机 起落架 损伤检测 FSDP图像 深度卷积神经网络
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海上风电场集群接入系统组网优化 认领 引用 被引量：19
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作者 符杨 刘阳 +2 位作者 黄玲玲 魏书荣 刘璐洁 《中国电机工程学报》 EI CSCD 北大核心 2018年第12期3441-3450,共10页
当前海上风电发展表现出规模化、集群化的特点,海上风电场集群接入系统需求显著。但是,现有海上风电场电气系统相关研究都是基于单个风电场,场内风机位置相对集中、海上变电站数量有限,且未考虑其接入对陆上输电网规划的影响。这可能导... 当前海上风电发展表现出规模化、集群化的特点,海上风电场集群接入系统需求显著。但是,现有海上风电场电气系统相关研究都是基于单个风电场,场内风机位置相对集中、海上变电站数量有限,且未考虑其接入对陆上输电网规划的影响。这可能导致海缆拥挤,海域资源浪费,以及陆上电网扩建不合理等一系列问题。对此,提出基于公共站设计与公共电网设计的2种海上风电场集群接入系统的优化方法,建立统一的数学模型。针对传统聚类方法在海上变电站选址定容上存在的问题,该文提出一种改进FSDP算法,进行包含变电站选址定容与电网拓扑规划的接入系统二层优化。算例结果显示,公共电网模式整体经济性最佳,公共站模式海域资源占用最少。 展开更多
关键词 海上风电场集群 接入系统 公共站 公共电网 改进FSDP 优化规划
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The First Sharp Diffraction Peak in the Total Structure Function of Amorphous Chalcogenide Glasses: Anomalous Characteristics and Controversial Views 认领 引用
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作者 Moneeb T. M. Shatnawi 《New Journal of Glass and Ceramics》 CAS 2016年第3期37-46,共10页
Anomalous structural characteristics of the so-called first sharp diffraction peak (FSDP) that arises in the total static structure functions of network-forming glasses and liquids at around 1-2 A-1 have been rev... Anomalous structural characteristics of the so-called first sharp diffraction peak (FSDP) that arises in the total static structure functions of network-forming glasses and liquids at around 1-2 A-1 have been reviewed and discussed in details. Unlike other peaks in the static structure functions, the FSDP has anomalous dependencies on temperature, pressure and composition. Despite the fact that the FSDP is considered as a signature of intermediate range order (IRO) in network-forming glasses and liquids, its structural origin remains unclear and till now, it forms a subject of debate. A brief account for some anomalous characteristics of the FSDP followed by the different controversial interpretations about its structural origin has been reviewed and discussed. Some of the interpretations that seem to be inconsistent with recent experimental results have been ruled out. The most likely structural origins for the occurrence of the FSDP have been highlighted and discussed in details. 展开更多
关键词 First Sharp Diffraction Peak (FSDP) Intermediate-Range Order (IRO) Amorphous Chalcogenide Glasses Static Structure Function Diffraction
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