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Pore structure of ore granular media by computerized tomography image processing 被引量:6
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作者 吴爱祥 杨保华 +1 位作者 习泳 江怀春 《Journal of Central South University of Technology》 EI 2007年第2期220-224,共5页
The pore structure images of ore particles located at different heights of leaching column were scanned with X-ray computerized tomography (CT) scanner, the porosity and pore size distribution were calculated and the ... The pore structure images of ore particles located at different heights of leaching column were scanned with X-ray computerized tomography (CT) scanner, the porosity and pore size distribution were calculated and the geometrical shape and connectivity of pores were analyzed based on image process method, and the three dimensional reconstruction of pore structure images was realized. The results show that the porosity of ore particles bed in leaching column is 42.92%, 41.72%, 39.34% at top, middle and bottom zone, respectively. Obviously it has spatial variability and decreases appreciably along the height of the column. The overall average porosity obtained by image processing is 41.33% while the porosity gotten from general measurement method in laboratory is 42.77% showing the results of both methods are consistent well. The pore structure of ore granular media is characterized as a dynamical space network composed of interconnected pore bodies and pore throats. The ratio of throats with equivalent diameter less than 1.91 mm to the total pores is 29.31%, and that of the large pores with equivalent diameter more than 5.73 mm is 2.90%. 展开更多
关键词 ore granular media pore structure X-ray computerized tomography image processing
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New multi-DSP parallel computing architecture for real-time image processing 被引量:4
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作者 Hu Junhong Zhang Tianxu Jiang Haoyang 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2006年第4期883-889,共7页
The flexibility of traditional image processing system is limited because those system are designed for specific applications. In this paper, a new TMS320C64x-based multi-DSP parallel computing architecture is present... The flexibility of traditional image processing system is limited because those system are designed for specific applications. In this paper, a new TMS320C64x-based multi-DSP parallel computing architecture is presented. It has many promising characteristics such as powerful computing capability, broad I/O bandwidth, topology flexibility, and expansibility. The parallel system performance is evaluated by practical experiment. 展开更多
关键词 parallel computing image processing REAL-TIME computer architecture
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Image processing algorithm acceleration using reconfigurable macro processor model 被引量:2
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作者 SunGuanKfu ChenHuaming LuHuanzhang 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2004年第2期110-114,共5页
The concept and advantage of reconfigurable technology is introduced. A kind of processor architecture of re configurable macro processor (RMP) model based on FPGA array and DSP is put forward and has been implemented... The concept and advantage of reconfigurable technology is introduced. A kind of processor architecture of re configurable macro processor (RMP) model based on FPGA array and DSP is put forward and has been implemented. Two image algorithms are developed: template-based automatic target recognition and zone labeling. One is estimating for motion direction in the infrared image background, another is line picking-up algorithm based on image zone labeling and phase grouping technique. It is a kind of 'hardware' function that can be called by the DSP in high-level algorithm. It is also a kind of hardware algorithm of the DSP. The results of experiments show the reconfigurable computing technology based on RMP is an ideal accelerating means to deal with the high-speed image processing tasks. High real time performance is obtained in our two applications on RMP. 展开更多
关键词 real-time image processing reconfigurable computing technology reconfigurable macro processor model template matching image zone labeling.
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An Algorithm for Ship Wake Detection from the SAR Images Using the Radon Transform and Morphological Image Processing 被引量:2
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作者 金亚秋 王世庆 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2001年第4期7-12,共6页
Using the Radon transform and morphological image processing, an algorithm for ship's wake detection in the SAR (synthetic aperture radar) image is developed. Being manipulated in the Radon space to invert the gra... Using the Radon transform and morphological image processing, an algorithm for ship's wake detection in the SAR (synthetic aperture radar) image is developed. Being manipulated in the Radon space to invert the gray-level and binary images, the linear texture of ship wake in oceanic clutter can be well detected. It has been applied to the automatic detection of a moving ship from the SEASAT SAR image. The results show that this algorithm is well robust in a strong noisy background and is not very sensitive to the threshold parameter and the working window size. 展开更多
关键词 ALGORITHMS image processing Mathematical transformations Radar clutter Radar target recognition Spurious signal noise Synthetic aperture radar
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3D surface profile diagnosis using digital image processing for laboratory use 被引量:2
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作者 Robert FRISCHER Ondrej KREJCAR +1 位作者 Ali SELAMAT Kamil KUCA 《Journal of Central South University》 SCIE EI CAS CSCD 2020年第3期811-823,共13页
The measurement of the surface quality and the profile preciseness is major issues in many industrial branches such that the surface quality of semi products directly affects the subsequent production steps.Although,t... The measurement of the surface quality and the profile preciseness is major issues in many industrial branches such that the surface quality of semi products directly affects the subsequent production steps.Although,there are many ways to obtain required data,the hardware necessary for the measurements such as 2D or 3D scanners,depending on the problem’s complexity,is too expensive.Therefore,in this paper,what we put forward as a novelty is an algorithm which is verified on the model of simple 3D scanner on the image processing basis with the resolution of 0.1 mm.There are many ways to scan surface profile;however,the image processing currently is the most trending topic in industry automation.Most importantly,in order to obtain surface images,standard high resolution reflex camera is used and thus the post processing could be realized with MatLab as the software environment.Therefore,this solution is an alternative to the expensive scanners,and single-purpose devices could be extended by many additional functions. 展开更多
关键词 profile diagnostics image processing 3D surface MatLab measurement
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Numerical simulation of direct shear tests on mechanical properties of talus deposits based on self-adaptive PCNN digital image processing 被引量:5
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作者 王盛年 徐卫亚 +1 位作者 石崇 张强 《Journal of Central South University》 SCIE EI CAS 2014年第7期2904-2914,共11页
The macro mechanical properties of materials with characteristics of large scale and complicated structural composition can be analyzed through its reconstructed meso-structures.In this work,the meso-structures of tal... The macro mechanical properties of materials with characteristics of large scale and complicated structural composition can be analyzed through its reconstructed meso-structures.In this work,the meso-structures of talus deposits that widely exist in the hydro-power engineering in the southwest of China were first reconstructed by small particles according to the in-situ photographs based on the self-adaptive PCNN digital image processing,and then numerical direct shear tests were carried out for studying the mechanical properties of talus deposits.Results indicate that the reconstructed meso-structures of talus deposits are more consistent with the actual situation because the self-adaptive PCNN digital image processing has a higher discrimination in the details of soil-rock segmentation.The existence and random distribution of rock blocks make the initial shear stiffness,the peak strength and the residual strength higher than those of the "pure soil" with particle size less than 1.25 cm apparently,but reduce the displacements required for the talus deposits reaching its peak shear strength.The increase of rock proportion causes a significant improvement in the internal friction angle of talus deposit,which to a certain degree leads to the characteristics of shear stress-displacement curves having a changing trend from the plastic strain softening deformation to the nonlinear strain hardening deformation,while an unconspicuous increase in cohesion.The uncertainty and heterogeneity of rock distributions cause the differences of rock proportion within shear zone,leading to a relatively strong fluctuation in peak strengths during the shear process,while movement features of rock blocks,such as translation,rotation and crossing,expand the scope of shear zone,increase the required shear force,and also directly lead to the misjudgment that the lower shear strength is obtained from the samples with high rock proportion.That,however,just explains the reason why the shear strength gained from a small amount of indoor test data is not consistent with engineering practice. 展开更多
关键词 talus deposits digital image processing pulse coupled neural networks(PCNN) direct shear test mechanical property granular discrete element method
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High performance reconfigurable hardware system for real-time image processing
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作者 赵广州 张天序 +2 位作者 王岳环 曹治国 左峥嵘 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2005年第3期502-509,共8页
A novel reconfigurable hardware system which uses both muhi-DSP and FPGA to attain high performance and real-time image processing are presented. The system structure and working principle of mainly processing multi-B... A novel reconfigurable hardware system which uses both muhi-DSP and FPGA to attain high performance and real-time image processing are presented. The system structure and working principle of mainly processing multi-BSP board, extended multi-DSP board are analysed. The outstanding advantage is that the communication among different board components of this system is supported by high speed link ports & serial ports for increasing the system performance and computational power. Then the implementation of embedded real-time operating systems (RTOS) by us is discussed in detail. In this system, we adopt two kinds of parallel structures controlled by RTOS for parallel processing of algorithms. The experimental results show that exploitive period of the system is short, and maintenance convenient. Thus it is suitable for real-time image processing and can get satisfactory effect of image recognition. 展开更多
关键词 MULTI-DSP fidd programmable gate arrays real-time image processing real time operating systems parallel structure.
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Dynamic experimental study on rock meso-cracks growth by digital image processing technique 被引量:2
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作者 朱珍德 倪骁慧 +3 位作者 王伟 李双蓓 赵杰 武沂泉 《Journal of Central South University》 SCIE EI CAS 2008年第S2期114-120,共7页
A new meso-mechanical testing scheme based on SEM was developed to carry out the experiment of microfracturing process of rocks. The microfracturing process of the pre-crack marble sample on surrounding rock in the im... A new meso-mechanical testing scheme based on SEM was developed to carry out the experiment of microfracturing process of rocks. The microfracturing process of the pre-crack marble sample on surrounding rock in the immerged Long-big tunnel in Jinping Cascade II Hydropower Station under uniaxial compression was recorded by using the testing scheme. According to the stereology theory, the propagation and coalescent of cracks at meso-scale were quantitatively investigated with digital technology. Therefore, the basic geometric information of rock microcracks such as area, angle, length, width, perimeter, was obtained from binary images after segmentation. The failure mechanism of specimen under uniaxial compression with the quantitative information was studied from macro and microscopic point of view. The results show that the image of microfracturing process of the specimen can be observed and recorded digitally. During the damage of the specimen, the distribution of microcracks in the specimen is still subjected to exponential distribution with some microcracks concentrated in certain regions. Finally, the change law of the fractal dimension of the local element in marble sample under different external load conditions is obtained by means of the statistical calculation of the fractal dimension. 展开更多
关键词 MARBLE ROCK failure process digital image processing growth of meso-crack DYNAMIC OBSERVATION experimental study
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Automatic Detection of Steel Ball's Surface Flaws Based on Image Processing 被引量:1
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作者 于正林 谭微 +1 位作者 杨东林 曹国华 《Defence Technology(防务技术)》 SCIE EI CAS 2007年第3期209-214,共6页
A new method to detect steel ball's surface flaws is presented based on computer techniques of image processing and pattern recognition. The steel ball's surface flaws is the primary factor causing bearing fai... A new method to detect steel ball's surface flaws is presented based on computer techniques of image processing and pattern recognition. The steel ball's surface flaws is the primary factor causing bearing failure. The high efficient and precision detections for the surface flaws of steel ball can be conducted by the presented method, including spot, abrasion, burn, scratch and crack, etc. The design of main components of the detecting system is described in detail including automatic feeding mechanism, automatic spreading mechanism of steel ball's surface, optical system of microscope, image acquisition system, image processing system. The whole automatic system is controlled by an industrial control computer, which can carry out the recognition of flaws of steel ball's surface effectively. 展开更多
关键词 计算机应用 钢球 表面裂痕 图像加工
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Novel method for extraction of ship target with overlaps in SAR image via EM algorithm 被引量:1
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作者 CAO Rui WANG Yong 《Journal of Systems Engineering and Electronics》 SCIE CSCD 2024年第4期874-887,共14页
The quality of synthetic aperture radar(SAR)image degrades in the case of multiple imaging projection planes(IPPs)and multiple overlapping ship targets,and then the performance of target classification and recognition... The quality of synthetic aperture radar(SAR)image degrades in the case of multiple imaging projection planes(IPPs)and multiple overlapping ship targets,and then the performance of target classification and recognition can be influenced.For addressing this issue,a method for extracting ship targets with overlaps via the expectation maximization(EM)algorithm is pro-posed.First,the scatterers of ship targets are obtained via the target detection technique.Then,the EM algorithm is applied to extract the scatterers of a single ship target with a single IPP.Afterwards,a novel image amplitude estimation approach is pro-posed,with which the radar image of a single target with a sin-gle IPP can be generated.The proposed method can accom-plish IPP selection and targets separation in the image domain,which can improve the image quality and reserve the target information most possibly.Results of simulated and real mea-sured data demonstrate the effectiveness of the proposed method. 展开更多
关键词 expectation maximization(EM)algorithm image processing imaging projection plane(IPP) overlapping ship tar-get synthetic aperture radar(SAR)
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Study on the Medical Image Distributed Dynamic Processing Method
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作者 Zhang Quanhai & Shi PengfeiInstitute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai 200030, P. R. China 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2003年第4期69-76,共8页
To meet the challenge of implementing rapidly advanced, time-consuming medical image processing algorithms, it is necessary to develop a medical image processing technology to process a 2D or 3D medical image dynamica... To meet the challenge of implementing rapidly advanced, time-consuming medical image processing algorithms, it is necessary to develop a medical image processing technology to process a 2D or 3D medical image dynamically on the web. But in a premier system, only static image processing can be provided with the limitation of web technology. The development of Java and CORBA (common object request broker architecture) overcomes the shortcoming of the web static application and makes the dynamic processing of medical images on the web available. To develop an open solution of distributed computing, we integrate the Java, and web with the CORBA and present a web-based medical image dynamic processing methed, which adopts Java technology as the language to program application and components of the web and utilies the CORBA architecture to cope with heterogeneous property of a complex distributed system. The method also provides a platform-independent, transparent processing architecture to implement the advanced image routines and enable users to access large dataset and resources according to the requirements of medical applications. The experiment in this paper shows that the medical image dynamic processing method implemented on the web by using Java and the CORBA is feasible. 展开更多
关键词 medical image dynamic processing based on web distributed computing INTEROPERATION CORBA.
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基于SAM&ImageJ图像处理的堆石混凝土坝层面露石率研究 被引量:3
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作者 安宇 徐小蓉 +2 位作者 尹志刚 金峰 张喜喜 《水资源与水工程学报》 CSCD 北大核心 2024年第1期154-161,共8页
堆石混凝土坝层面的外露块石为上下层提供了重要的啮合作用,其投影面积比例是科学评价层间抗剪性能的重要指标。采用国际最新Meta AI模型segment anything model(SAM)对层面外露堆石进行自动图像分割,并基于ImageJ软件对SAM识别后的图... 堆石混凝土坝层面的外露块石为上下层提供了重要的啮合作用,其投影面积比例是科学评价层间抗剪性能的重要指标。采用国际最新Meta AI模型segment anything model(SAM)对层面外露堆石进行自动图像分割,并基于ImageJ软件对SAM识别后的图片进行再加工与图像计算,利用平滑、差分算法、中值滤波等方法精准标定外露堆石,二值化后计算得到层面露石率。结果表明:SAM图像预分割可识别约90%的外露堆石,经过ImageJ二次图像处理后可有效提高小粒径堆石的识别精度,对比手动标注结果误差在±3%以内。以贵州省两座水库的工程应用为例,对浇筑仓面进行分区预处理,结果发现靠近上游、中部、下游不同区域的露石率差别较大,计算得到的层面露石率以10%~30%居多,其中堆石入仓运输通道区域的露石率较低。研究内容与结论可为堆石混凝土结构层间界面抗剪力学性能和大坝蓄水安全稳定的研究提供参考与借鉴。 展开更多
关键词 堆石混凝土坝 segment anything model(SAM) 图像处理技术 露石率 层间抗剪性能
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复合能场作用下激光–液体耦合制造技术综述 被引量:1
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作者 刘洋 孙俊杰 +7 位作者 张朝阳 王玉峰 薛伟 孟领超 朱浩 徐坤 王京涛 晏恒峰 《航空制造技术》 北大核心 2025年第1期73-88,共16页
激光加工技术具有加工精度高和加工柔性大等特点,能够实现各种金属及非金属材料的多样化加工,在航空航天、汽车和船舶制造等工业领域得到广泛应用。然而,激光加工技术存在一定的局限性,比如超快激光加工效率较低,常规激光加工表面有热... 激光加工技术具有加工精度高和加工柔性大等特点,能够实现各种金属及非金属材料的多样化加工,在航空航天、汽车和船舶制造等工业领域得到广泛应用。然而,激光加工技术存在一定的局限性,比如超快激光加工效率较低,常规激光加工表面有热影响或重铸层。为解决这些问题,激光与液体复合加工技术应运而生并蓬勃发展。液体的引入提高了激光加工效率,并显著改善了加工质量。在加工过程中,液体扮演了冷却剂、润滑剂及清洗剂的角色,有助于消除热影响区和重铸层。在液体冷却和冲刷作用下,加工产物被快速带离加工区域,加工表面质量得到提高的同时加工效率得到了提升。全面回顾当前激光与液体复合加工领域的最新研究进展,重点综述水辅助激光加工技术和电解液辅助激光加工技术,并对它们未来的发展方向进行展望。 展开更多
关键词 复合能场 激光加工 液体辅助加工 先进制造 表面特性
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深度学习全模型迭代算法(AIIR)临床应用价值 被引量:3
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作者 洪楠 《中国医学影像技术》 北大核心 2025年第4期513-514,共2页
深度学习全模型迭代算法(AIIR)创新性地将全模型迭代与深度学习技术相结合,以弥补传统CT重建方法在噪声伪影抑制及纹理表现等方面的局限而提高图像质量;其用于低剂量成像及复杂解剖结构成像表现不俗,可为患者安全及精准诊断提供有力保... 深度学习全模型迭代算法(AIIR)创新性地将全模型迭代与深度学习技术相结合,以弥补传统CT重建方法在噪声伪影抑制及纹理表现等方面的局限而提高图像质量;其用于低剂量成像及复杂解剖结构成像表现不俗,可为患者安全及精准诊断提供有力保障。本文针对AIIR临床应用价值进行述评。 展开更多
关键词 体层摄影术 X线计算机 图像处理 计算机辅助 深度学习 辐射剂量 图像质量
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基于视觉识别技术的稻粒特征识别检测系统 被引量:1
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作者 刘春山 李金琼 +4 位作者 陈思羽 刘洪义 潘佳琦 焦仁宝 初旭宏 《农机化研究》 北大核心 2025年第5期138-144,共7页
通过视觉识别图像处理技术对稻谷谷粒进行处理,利用OTSU自适应阈值对稻谷图像进行二值化处理,采用中值滤波对图像进行降噪处理、图像分割和连通区域标记,基于几何形状特征阈值检测算法识别不同种类稻谷的长度、宽度、周长和面积像素值,... 通过视觉识别图像处理技术对稻谷谷粒进行处理,利用OTSU自适应阈值对稻谷图像进行二值化处理,采用中值滤波对图像进行降噪处理、图像分割和连通区域标记,基于几何形状特征阈值检测算法识别不同种类稻谷的长度、宽度、周长和面积像素值,提出一种综合的阈值通用旋转法,可实现不同谷粒的分类。根据获取谷粒图像样品和采集谷粒数目特征,基于形态学处理和分水岭变换分割算法对谷粒进行数目识别提取,最后根据检测的数目和整碎谷粒特征统计汇总稻谷谷粒的相关参数信息,将谷粒识别结果和相关数据信息保存在数据库中,便于进一步分析。研究结果表明:利用MatLab软件中GUI界面开发的稻谷检测系统对谷粒数目有较好的识别力,精确度达98.327%,对于整碎谷粒的识别误差在可控范围,满足要求与传统人工检测相比,具有检测快速、多样化等优点。 展开更多
关键词 检测系统 特征识别 图像处理 稻粒
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无人机图像中耕期甘蔗植株检测计数方法——基于改进YOLOv5s 被引量:1
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作者 李尚平 唐丹 +1 位作者 文春明 李凯华 《农机化研究》 北大核心 2025年第10期138-145,共8页
以中耕期甘蔗作物的无人机图像为研究对象,针对植株叶片互相遮挡、目标粘连和背景信息复杂等问题,设计了一种基于改进YOLOv5s的甘蔗检测计数模型。首先,通过在网络中使用基于归一化的注意力模块,加强对图像中中耕期甘蔗植株的特征学习... 以中耕期甘蔗作物的无人机图像为研究对象,针对植株叶片互相遮挡、目标粘连和背景信息复杂等问题,设计了一种基于改进YOLOv5s的甘蔗检测计数模型。首先,通过在网络中使用基于归一化的注意力模块,加强对图像中中耕期甘蔗植株的特征学习和特征提取,并且减弱与甘蔗植株相似的蔗地杂草背景对检测效果的干扰。其次,原始YOLOv5s网络中的耦合头替换为改进过的高效解耦头,用以进行分类和回归分支的解耦计算,提升甘蔗植株检测模型的性能。最后,更改边界框损失函数为动态非单调聚焦机制WIoU,提高模型收敛速度。同时,采用多尺度训练在一定程度上提高改进模型对物体大小的鲁棒性,最终使模型可以输入任意大小的图片。试验结果表明:改进的YOLOv5s模型准确率、召回率和平均精度均值分别为97.72%、91.7%和96.2%,较原始YOLOv5s模型分别提高3.82、4.5、2.5个百分点。统计表明:测试集的30幅甘蔗图像中,甘蔗植株真实值为1104,改进YOLOv5s模型生成的甘蔗植株数为1086,漏检个数为18,漏检率为1.6%,改进模型对无人机图像中的甘蔗植株计数误差较小,可为甘蔗的检测计数、长势评估提供技术支撑。 展开更多
关键词 甘蔗计数 无人机 图像处理 YOLOv5s 解耦头 归一化
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超声辅助酶法提取咖啡果皮花青素工艺优化及其体外抗氧化活性评价 被引量:1
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作者 李学玲 李雪 +3 位作者 任四妹 许苑南 郭洁 杨莉 《中国酿造》 北大核心 2025年第2期251-255,共5页
为探究咖啡果皮花青素的提取工艺和体外抗氧化能力,该研究采用超声辅助酶法提取咖啡果皮花青素,通过单因素试验及正交试验对咖啡果皮花青素提取工艺进行优化,并研究其体外抗氧化活性。结果表明,咖啡果皮花青素最佳提取工艺条件为:提取温... 为探究咖啡果皮花青素的提取工艺和体外抗氧化能力,该研究采用超声辅助酶法提取咖啡果皮花青素,通过单因素试验及正交试验对咖啡果皮花青素提取工艺进行优化,并研究其体外抗氧化活性。结果表明,咖啡果皮花青素最佳提取工艺条件为:提取温度60℃、乙醇体积分数60%、果胶酶添加量2%、料液比1∶50(g∶mL)、提取时间40 min。在此优化条件下,咖啡果皮花青素得率达0.274%。体外抗氧化试验结果表明,当样品质量浓度为30μg/mL时,其对DPPH、OH自由基的清除率最佳,分别为91.40%、67.28%,半抑制浓度(IC50)值分别为6.36μg/mL、12.16μg/mL;当样品质量浓度为5μg/mL时,总还原能力最高(吸光度值为0.987)。因此,咖啡果皮花青素具有一定的抗氧化能力。 展开更多
关键词 咖啡果皮 花青素 超声辅助酶法 提取工艺 体外抗氧化活性
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热辅助条件下微织构刀具铣削力预测方法研究 被引量:2
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作者 佟欣 王佰艺 +1 位作者 李鑫宇 杨树财 《仪器仪表学报》 北大核心 2025年第3期274-287,共14页
刀具表面织构化处理能够显著改善刀具的切削性能。但激光加工有着急速升温与骤冷的加工特点,这会导致重熔层堆叠和微裂纹等问题。针对上述问题,引入热辅助激光加工技术。由于钛合金是难加工材料,因此铣削过程中刀具承受较大的铣削力,这... 刀具表面织构化处理能够显著改善刀具的切削性能。但激光加工有着急速升温与骤冷的加工特点,这会导致重熔层堆叠和微裂纹等问题。针对上述问题,引入热辅助激光加工技术。由于钛合金是难加工材料,因此铣削过程中刀具承受较大的铣削力,这会导致机械系统的动态响应及振动,进而影响刀具寿命和加工表面质量。因此,准确预测铣削力可以及时调整切削参数,在保证加工质量的同时,使铣削力处于合理范围,从而提高加工效率、降低刀具磨损。综上,以硬质合金球头铣刀为研究对象,将热辅助工艺与激光加工技术相结合,搭建铣削试验平台,提出一种基于蜣螂算法(DBO)优化变分模态分解(VMD)参数,并结合小波包阈值降噪(WPT)的方法来对原始信号进行降噪处理;使用希尔伯特-黄变换(HHT)进行时频分析,探讨不同热辅助温度下的刀具铣削性能变化规律。在此基础上,结合贝叶斯优化(BO)、卷积神经网络(CNN)、双向长短期记忆网络(BiLSTM)以及多头注意力机制(Multihead-Attention),建立回归分析模型用于实时监测和预测铣削力;通过验证,该模型在训练集上的R^(2)值达到了0.9967,而在测试集上R^(2)值达到了0.99194,证明了该模型的准确性。为微织构制备过程中的缺陷修复提出了一种新方法,同时为钛合金铣削加工中的铣削力预测提供了一种有效的方法。 展开更多
关键词 微织构刀具 钛合金 热辅助激光加工 铣削力 BO-CNN-BiLSTM-Multihead-Attention预测模型
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动态场景下火灾烟雾多特征融合识别定位研究 被引量:1
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作者 陈贵亮 金天宇 杨冬 《传感器与微系统》 北大核心 2025年第6期33-37,共5页
提出了一种动态场景下火灾烟雾多特征融合识别定位算法。为解决动态场景下烟雾准确识别与定位问题,将ORB特征提取结合改进的K—最近邻(KNN)算法,实现了更准确的特征点匹配,通过特征点对灰度阈值划分,实现特征点的分离,达到精确的背景补... 提出了一种动态场景下火灾烟雾多特征融合识别定位算法。为解决动态场景下烟雾准确识别与定位问题,将ORB特征提取结合改进的K—最近邻(KNN)算法,实现了更准确的特征点匹配,通过特征点对灰度阈值划分,实现特征点的分离,达到精确的背景补偿;从烟雾静态特征出发,经过烟雾增强的颜色分割后,引入暗通道帧差法,结合亮度视觉注意机制模型,突出烟雾显著区域,实现了轮廓区域精准分割;最后将烟雾纹理信息与轮廓不规则性两类特征进行融合,对融合后的特征向量进行支持向量机(SVM)训练,实现烟雾区域的最终判定。定位实验表明:所提算法具有能够满足动态场景下的火灾烟雾准确识别与定位。 展开更多
关键词 图像处理 火灾烟雾识别 背景补偿 特征融合 支持向量机
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医疗领域的大型语言模型综述 被引量:1
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作者 肖建力 许东舟 +4 位作者 王浩 刘敏 周雷 朱林 顾松 《智能系统学报》 北大核心 2025年第3期530-547,共18页
深度学习是人工智能领域的热门研究方向之一,它通过构建多层人工神经网络模仿人脑对数据的处理机制。大型语言模型(large language model,LLM)基于深度学习的架构,在无需编程指令的情况下,能通过分析大量数据以获得理解和生成人类语言... 深度学习是人工智能领域的热门研究方向之一,它通过构建多层人工神经网络模仿人脑对数据的处理机制。大型语言模型(large language model,LLM)基于深度学习的架构,在无需编程指令的情况下,能通过分析大量数据以获得理解和生成人类语言的能力,被广泛应用于自然语言处理、计算机视觉、智慧医疗、智慧交通等诸多领域。文章总结了LLM在医疗领域的应用,涵盖了LLM针对医疗任务的基本训练流程、特殊策略以及在具体医疗场景中的应用。同时,进一步讨论了LLM在应用中面临的挑战,包括决策过程缺乏透明度、输出准确性以及隐私、伦理问题等,随后列举了相应的改进策略。最后,文章展望了LLM在医疗领域的未来发展趋势,及其对人类健康事业发展的潜在影响。 展开更多
关键词 人工智能 深度学习 TRANSFORMER 大型语言模型 智慧医疗 数据分析 图像处理 计算机视觉
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