Subjects: Nuclear Science and Technology >> Nuclear Detection Technology and Nuclear Electronics submitted time 2024-03-28
Abstract： Background : High frame rate area detectors play a crucial role in experiments such as coherent diffraction imaging and serial crystallography conducted at the Shanghai HIgh repetitioN rate xfel and Extreme light facility (SHINE). Their high data transmission rates and extensive processing needs pose grand challenges for the data acquisition system. Purpose : To support the continuous operation of a megapixel detector working at 10kHz frame rate, the DAQ software must deliver a data throughput of no less than 20 GB·s-1. Methods : In order to meet the requirement of high throughput data readout and processing of many detector modules, this research developed a distributed DAQ software based on C++ language, which is designed to run on multiple servers in parallel. This research adopts a memory based MapReduce-like method to realize the online event reconstruction. And also tested the Bitshuffle+LZ4/ZSTD data compression algorithm. Results : The software successfully achieved a throughput of 20GB·s-1 for data transmission and event reconstruction by using 4 DAQ servers. It also includes the implementation and testing of various functions, such as data calibration, lossless compression, and the distributed operation capability of the whole system. Conclusions : This research will provide essential support for some related experiments using area detectors which require high throughput data acquisition.
Subjects: Digital Publishing >> New Media submitted time 2023-10-08 Cooperative journals: 《中国传媒科技》
Abstract：新兴媒体是网络技术与信息内容融合发展的产物,广电传统媒体与新兴媒体融合是传媒领域一场重大而深刻的变革。广播电视要适应新的传播环境,传统媒体与新兴媒体技术融合是基础。本文以媒体融合为切入点,在阐述广电传统媒体与新兴媒体技术融合特点的基础上,通过分析广电传统媒体与新兴媒体技术融合的模式,重点探讨了广电传统媒体与新兴媒体技术融合的策略,旨在说明媒体融合的重要性,以期为广播电视的发展提供参考。
Subjects: Agriculture, Forestry,Livestock & Aquatic Products Science >> Other Disciplines of Agriculture, Forestry,Livestock & Aquatic Products Science submitted time 2023-05-15 Cooperative journals: 《智慧农业（中英文）》
Abstract： Crops have diverse structures and complex growth environments. RGB image data can reflect the texture and color features of plants accurately, while 3D data contains information about crop volume. The combination of RGB image and 3D point cloud data can achieve the extraction of two-dimensional and three-dimensional phenotypic parameters of crops, which is of great significance for the research of phenomics methods. In this study, potatoe plants were chosen as the research subject, and RGB cameras and laser scanners were used to collect 50 potato RGB images and 3D laser point cloud data. The segmentation accuracy of four deep learning semantic segmentation methods, OCRNet, UpNet, PaNet, and DeepLab v3+ , were compared and analyzed for the RGB images. OCRNet, which demonstrated higher accuracy, was used to perform semantic segmentation on top-view RGB images of potatoes. Mean shift clustering algorithm was optimized for laser point cloud data processing, and single-plant segmentation of laser point cloud data was completed. Stem and leaf segmentation of single-plant potato point cloud data were accurately performed using Euclidean clustering and K-Means clustering algorithms. In addition, a strategy was proposed to establish a one-to-one correspondence between RGB images and point clouds of single-plant potatoes using pot numbering. 8 2D phenotypic parameters and 10 3D phenotypic parameters, including maximum width, perimeter, area, plant height, volume, leaf length, and leaf width, etc., were extracted from RGB images and laser point clouds, respectively. Finally, the accuracy of three representative and easily measurable phenotypic parameters, leaf number, plant height, and maximum width were evaluated. The mean absolute percentage errors (MAPE) were 8.6%, 8.3% and 6.0%, respectively, while the root mean square errors (RMSE) were 1.371 pieces, 3.2 cm and 1.86 cm, respectively, and the determination coefficients (R2) were 0.93, 0.95 and 0.91, respectively. The research results indicated that the extracted phenotype parameters can accurately and efficiently reflect the growth status of potatoes. Combining the RGB image data of potatoes with three-dimensional laser point cloud data can fully exploit the advantages of the rich texture and color characteristics of RGB images and the volumetric information provided by three-dimensional point clouds, achieving non-destructive, efficient, and high-precision extraction of two-dimensional and three-dimensional phenotype parameters of potato plants. The achievements of this study could not only provide important technical support for the cultivation and breeding of potatoes but also provide strong support for phenotype-based research.
Subjects: Biology >> Zoology submitted time 2018-12-24 Cooperative journals: 《动物营养学报》
Abstract：本试验旨在研究饲粮中不同铜源及铜水平对育成期蓝狐生长性能、营养物质消化率及血清指标的影响。试验选择55日龄健康蓝狐100只，随机分成5个组，每组20个重复，每个重复1只蓝狐。5组蓝狐分别饲喂在基础饲粮添加0、50、100 mg/kg（以铜计）的五水硫酸铜（CuSO45H2O）或蛋氨酸铜（Met-Cu）的试验饲粮，2种铜源共用0添加组为对照组。预试期为7 d，正试期为60 d。结果表明：1）饲粮铜水平对育成期蓝狐平均日增重有极显著影响（P0.05）。2）饲粮铜水平对育成期蓝狐粗蛋白质消化率和粪铜含量有极显著影响（P0.05）。3）饲粮铜源及铜水平对育成期蓝狐血清尿素氮含量有极显著影响（P0.05）。由此可见，育成期蓝狐的饲粮中添加蛋氨酸铜可以获得与硫酸铜相似的促生长效果，此外，蛋氨酸铜的利用率更高，环境排放低，是蓝狐饲粮更高效、更环保的有机铜源。
Subjects: Biology >> Zoology submitted time 2018-12-24 Cooperative journals: 《动物营养学报》
Abstract：本试验旨在研究饲粮铜水平对冬毛期水貂血清脂类代谢指标、血液参数、肠道消化酶活性及胆汁微量元素含量的影响。试验选取（110±3）日龄的健康水貂140只（公母各占1/2），随机分为7个组，每组20个重复，每个重复1只水貂。各组水貂分别饲喂在基础饲粮（铜含量为7.68 mg/kg）中添加0（对照组）、6（Cu6组）、12（Cu12组）、24（Cu24组）、（Cu48组）、96（Cu96组）和192 mg/kg（Cu192组）铜的试验饲粮。预试期7 d，正试期90 d。结果表明：1）水貂血清总胆固醇（TC）含量随饲粮铜水平的增加呈线性(♂：P<0.01，♀：P<0.01)或二次曲线降低（♂：P<0.05，♀：P<0.01)。雄性水貂的血清TC和甘油三酯（TG）含量显著高于雌性水貂（P<0.05）。2）饲粮铜水平对水貂血红蛋白含量和血细胞比容无显著影响(P＞0.05)，雄性水貂血红蛋白含量和血细胞比容与雌性水貂无显著差异(P＞0.05)。3）雄性水貂空肠脂肪酶活性显著高于雌性水貂（P<0.05），空肠、回肠胰蛋白酶活性和空肠淀粉酶活性极显著高于雌性水貂（P<0.01）。4）水貂胆汁铜含量随饲粮铜水平的增加呈线性增加(P<0.05)，水貂胆汁锰和铁含量随饲粮铜水平的增加呈线性或二次曲线降低(P<0.01)。由此可见，水貂饲粮添加铜对血清胆固醇、胆汁微量元素含量有重要的调节作用。
Subjects: Biology >> Zoology submitted time 2018-12-24 Cooperative journals: 《动物营养学报》
Abstract：本试验旨在研究饲粮铜水平对冬毛期水貂血清脂类代谢指标、血液参数、肠道消化酶活性及胆汁微量元素含量的影响。试验选取（110±3）日龄的健康水貂140只（公母各占1/2），随机分为7个组，每组20个重复，每个重复1只水貂。各组水貂分别饲喂在基础饲粮（铜含量为7.68 mg/kg）中添加0（对照组）、6（Cu6组）、12（Cu12组）、24（Cu24组）、（Cu48组）、96（Cu96组）和192 mg/kg（Cu192组）铜的试验饲粮。预试期7 d，正试期90 d。结果表明：1）水貂血清总胆固醇（TC）含量随饲粮铜水平的增加呈线性(♂：P<0.01，♀：P<0.01)或二次曲线降低（♂：P<0.05，♀：P<0.01)。雄性水貂的血清TC和甘油三酯（TG）含量显著高于雌性水貂（P<0.05）。2）饲粮铜水平对水貂血红蛋白含量和血细胞比容无显著影响(P＞0.05)，雄性水貂血红蛋白含量和血细胞比容与雌性水貂无显著差异(P＞0.05)。3）雄性水貂空肠脂肪酶活性显著高于雌性水貂（P<0.05），空肠、回肠胰蛋白酶活性和空肠淀粉酶活性极显著高于雌性水貂（P<0.01）。4）水貂胆汁铜含量随饲粮铜水平的增加呈线性增加(P<0.05)，水貂胆汁锰和铁含量随饲粮铜水平的增加呈线性或二次曲线降低(P<0.01)。由此可见，水貂饲粮添加铜对血清胆固醇、胆汁微量元素含量有重要的调节作用。
Subjects: Biology >> Zoology submitted time 2017-10-23 Cooperative journals: 《动物营养学报》
Abstract：本试验旨在研究饲粮铜水平对冬毛期雌性蓝狐生长性能、营养物质消化率、血清生化指标及毛皮品质的影响。试验选取115日龄左右的健康雌性蓝狐50只，随机分成5组，每组10个重复，每个重复1只。以五水硫酸铜（CuSO4·5H2O）为铜源，在基础饲粮中分别添加0、12.22、32.22、72.22、152.22 mg/kg的铜配成5种试验饲粮，5种试验饲粮铜水平分别为7.78（Ⅰ组，作为对照组）、20（Ⅱ组）、40（Ⅲ组）、80（Ⅳ组）、160 mg/kg（Ⅴ组）。预试期为7 d，正试期为60 d。结果表明：1)Ⅲ、Ⅳ和Ⅴ组蓝狐的平均日增重显著高于对照组（P0.05）。2)各组蓝狐的干物质消化率、蛋白质消化率及氮沉积差异不显著（P>0.05）；Ⅲ、Ⅳ组蓝狐的脂肪消化率显著高于对照组（P0.05）；铜排出量随着饲粮铜水平的升高极显著的增加（P0.05），Ⅳ组蓝狐血清铜锌超氧化物歧化酶活性显著高于对照组及Ⅱ和Ⅲ组(P0.05）。5)饲粮铜水平并未显著影响蓝狐的体长和干皮长（P>0.05）；Ⅲ和Ⅴ组蓝狐针毛长和绒毛长显著大于Ⅱ和Ⅳ组（P<0.05）；Ⅴ组蓝狐皮张颜色显著深于对照组（P<0.05）。由此可见，在饲粮中添加32.22 mg/kg铜即铜水平为40.00 mg/kg时，冬毛期雌性蓝狐可获得较好的生长性能、营养物质消化率及毛皮品质，同时铜的排放量较低。
Subjects: Biology >> Zoology submitted time 2017-10-10 Cooperative journals: 《动物营养学报》
Abstract：本试验旨在研究饲粮精氨酸添加水平对冬毛期雌性蓝狐生产性能、营养物质消化率及氮代谢的影响。选取120日龄、体重相近的60只健康雌性蓝狐，随机分为6组，每组10个重复，每个重复1只。各组饲粮精氨酸添加水平分别为0(对照组)、0.2%、0.4%、0.6%、0.8%和1.0%，预试期7 d，正试期80 d。结果表明：1）0.6%添加组蓝狐的平均日增重极显著高于其他各组（P＜0.01），体长和皮长较对照组分别提高了1.42%和1.26%（P＞0.05），料重比极显著低于对照组（P＜0.01）；0.4%添加组蓝狐平均日采食量显著低于对照组（P＜0.05）。2）饲粮精氨酸添加水平极显著影响蓝狐脂肪消化率（P＜0.01），各组蓝狐脂肪消化率随着饲粮精氨酸添加水平的升高而提高；0.6%添加组干物质消化率极显著高于对照组和0.2%、0.4%添加组（P＜0.01），饲粮精氨酸添加水平对蓝狐蛋白质消化率和碳水化合物消化率无显著影响（P＞0.05）。3）0.4%添加组蓝狐食入氮显著低于除0.6%添加组外其他各组（P＜0.05）；0.6%添加组粪氮和尿氮含量均最低，而氮沉积、净蛋白质利用率、蛋白质生物学价值和蛋白质效率比均最高。综合各项指标，冬毛期雌性蓝狐饲粮中添加0.6%精氨酸（饲粮总精氨酸水平为2.04%）可提高平均日增重，降低料重比。
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