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QoS Control in Streaming Media

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微计算机信息 2008年第1期 258-260页

作者： (Beijing Technology and Business University)Pan Yuqing Zhang Jian guo peiyuan

In this paper, the QoS(Quality of Service) control in streaming media is discussed, and more attention has been paid on the implementation of Qos control in the streaming media server system of the IP network architec... 详细信息

关键词： Streaming Media QoS RTP

基于外周血细胞综合评分的结直肠癌患者预后预测模型的构建

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中华胃肠外科杂志 2024年第9期27卷 953-965页

作者：郭培源胡旭华李保坤路逖刘佳明王超宇牛文博王贵英于滨 050001 石家庄050000 河北省消化道肿瘤病因溯源和个体化诊疗实验室，石家庄050000 河北医科大学第二医院普通外科050001

目的构建基于外周血细胞评分系统的结直肠癌患者预后预测模型。方法本研究为回顾性观察性研究。纳入标准：（1）未发生远处转移的原发性结直肠癌患者；（2）术前未行放疗或化学治疗；（3）术前1个月内未行升白细胞及升血小板治疗；（... 详细信息

目的构建基于外周血细胞评分系统的结直肠癌患者预后预测模型。方法本研究为回顾性观察性研究。纳入标准：（1）未发生远处转移的原发性结直肠癌患者；（2）术前未行放疗或化学治疗；（3）术前1个月内未行升白细胞及升血小板治疗；（4）术后病理证实为结直肠腺癌，且肿瘤达到完整切除。排除术前存在严重贫血、感染或血液系统疾病者以及合并严重心、肺等重要器官疾病或合并其他恶性肿瘤的患者。回顾性纳入2018年4月至2020年4月期间经河北医科大学第四医院外二科同一治疗组行手术治疗的1 021例结直肠癌患者作为本研究的训练集（766例）及内部验证（255例）；同时，采用相同标准，选取2015年3月至2020年12月期间，经另一治疗组行手术治疗的215例结直肠癌患者作为外部验证。使用R软件中的“surv_cutpoint”函数分析中性粒细胞、淋巴细胞及血小板的最佳界值，依据最佳界值建立外周血细胞评分系统。外周血细胞评分系统（PBCS）评分规则如下：中性粒细胞和血小板低于最佳界值=1分，否则记为0分；淋巴细胞高于最佳界值=1分，否则记为0分。三种细胞的得分情况相加，即为外周血细胞评分。应用单多因素Cox回归分析探究患者临床病理特征与预后的相关性，并在Cox回归分析的基础上构建列线图以预测患者预后。使用C指数、校准曲线及决策曲线分析验证列线图预测模型的准确性。结果中性粒细胞、淋巴细胞和血小板的最佳界值分别为4.40×10 9 /L，1.41×10 9 /L和355×10 9 /L。按照上述细胞的最佳界值，分别将患者分为高组和低组。生存曲线分析显示，高淋巴细胞（训练集： P =0.042，内部验证： P =0.010，外部验证： P =0.029）、低中性粒细胞（训练集： P =0.035，内部验证： P =0.001，外部验证： P =0.024）及低血小板（训练集： P =0.041，内部验证： P =0.030，外部验证： P =0.024）有利于患者总体生存期（OS）的延长，差异均有统计学意义。不同组别PBCS的生存分析显示，高PBCS得分的患者OS均大于低PBCS得分的患者（ P 0.05）。将上述独立危险或保护因素纳入R语言软件中并构建预测患者总生存期的列线图。C指数（0.873）、校准曲线和决策曲线分析（阈值概率：0~75.2%）均表明，列线图预测模型对患者的总生存期具有良好的预测效能。结论本研究通过患者术前外周血中性粒细胞、淋巴细胞和血小板水平构建的PBCS评分是影响结直肠癌患者预后的独立因素，基于此构建的列线图模型对于结直肠癌患者预后具有较好的预测效能。

关键词：结直肠肿瘤中性粒细胞淋巴细胞血小板预后

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Foreword

Foreword

The Bacon Quality Grade Intellectual Pattern Recognition based on Neural Network of Hyperspectral Imaging

作者： guo peiyuan China SIF

At the level of the global market, ESG-based investment is increasingly becoming a mainstream investment approach. According to data from the Global Sustainable Investment Alliance (GSIA), ESG factors have been incorporated into nearly half of the investments in the European asset management market, and about a quarter

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The Bacon Quality Grade Intellectual Pattern Recognition bas...

Effect of intra-operative chemotherapy with 5-fluorouracil and leucovorin on the survival of patients with colorectal cancer after radical surgery: a retrospective cohort study

第36届中国控制会议

作者： guo peiyuan Xiao Hongbing Xing Suxia Sun Mei Bao Man College of Computer and Information Engineering Beijing Technology and Business University

ISBN: (纸本)9781538629185

This paper researches on bacon quality pattern *** take the hyper spectral microscopic image of plaque area,the acid value,the peroxide value（POV） and total volatile basic nitrogen（TVBN） obtained from the spectra at the Self Organization Map（SOM） neural network as inputs to conduct multi-data *** that we set up a model about level detection of bacon *** we refine the level of bacon quality to four categories based on the national standard with rough division of 2 classes,Those are:Safe to eat,Edible,Do not recommend eating and Inedible,which increase the detection accuracy of pattern recognition,and can propose an early warning for eating bacon *** study found that the detection model’s root mean square prediction error（RMSEP） is respectively 3%,9%,4%of acid value,peroxide value and TVBN built after pretreatment and band *** number of wavelengths used here is about one-third of the whole number of wavelengths,which has improved the detection accuracy of pattern *** and methods of the research can be further extended to detect other related agricultural meat products.

关键词： Hyperspectral Imaging SOM Neural Network Pattern Recognition

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Chinese Medical Journal 2023年第7期136卷 830-839页

作者： Xuhua Hu Zhaoxu Zheng Jing Han Baokun Li Ganlin guo peiyuan guo Yang Yang Daojuan Li Yiwei Yan Wenbo Niu Chaoxi Zhou Zesong Meng Jun Feng Bin Yu Qian Liu Guiying Wang The Second Department of General Surgery The Fourth Hospital of Hebei Medical UniversityShijiazhuangHebei 050001China Department of Colorectal Surgery National Cancer Center/National Clinical Research Center for Cancer/Cancer HospitalChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100021China Department of Medical Oncology The Fourth Hospital of Hebei Medical UniversityShijiazhuangHebei 050001China Department of Cancer Institute The Fourth Hospital of Hebei Medical UniversityShijiazhuangHebei 050001China Department of Pediatrics The Fourth Hospital of Hebei Medical UniversityShijiazhuangHebei 050001China Department of General Surgery The Second Hospital of Hebei Medical UniversityShijiazhuangHebei 050050China

Background:The effect of intra-operative chemotherapy(IOC)on the long-term survival of patients with colorectal cancer(CRC)remains *** this study,we evaluated the independent effect of intra-operative infusion of 5-fluorouracil in combination with calcium folinate on the survival of CRC patients following radical ***:1820 patients were recruited,and 1263 received IOC and 557 did *** and demographic data were collected,including overall survival(OS),clinicopathological features,and treatment *** factors for IOC-related deaths were identified using multivariate Cox proportional hazards models.A regression model was developed to analyze the independent effects of ***:Proportional hazard regression analysis showed that IOC(hazard ratio[HR]=0.53,95%confidence intervals[CI][0.43,0.65],P<0.001)was a protective factor for the survival of *** mean overall survival time in IOC group was 82.50(95%CI[80.52,84.49])months,and 71.21(95%CI[67.92,74.50])months in non-IOC *** OS in IOC-treated patients were significantly higher than non-IOC-treated patients(P<0.001,log-rank test).Further analysis revealed that IOC decreased the risk of death in patients with CRC in a non-adjusted model(HR=0.53,95%CI[0.43,0.65],P<0.001),model 2(adjusted for age and gender,HR=0.52,95%CI[0.43,0.64],P<0.001),and model 3(adjusted for all factors,95%CI 0.71[0.55,0.90],P=0.006).The subgroup analysis showed that the HR for the effect of IOC on survival was lower in patients with stage II(HR=0.46,95%CI[0.31,0.67])or III disease(HR=0.59,95%CI[0.45,0.76]),regardless of pre-operative radiotherapy(HR=0.55,95%CI[0.45,0.68])or pre-operative chemotherapy(HR=0.54,95%CI[0.44,0.66]).Conclusions:IOC is an independent factor that influences the survival of CRC *** improved the OS of patients with stages II and III CRC after radical *** registration:***,ChiCTR 2100043775.

关键词： Colorectal cancer Intra-operative chemotherapy Overall survival Retrospective cohort study Stage

QoS Control in Streaming Media

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微计算机信息 2008年第1期24卷 256-257,216页

作者：潘瑜青张健郭培源北京工商大学信息工程学院

关键词：流媒体 QoS(质量控制) RTP RTCP

Study on Chicken Quality Classification Method Based on K-means-RBF Multi-source Data Fusion

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Study on Chicken Quality Classification Method Based on K-me...

第30届中国控制与决策会议

作者： XING SuXia WANG Rui WANG JiuQing guo peiyuan College of Computer and Information Engineering Beijing Technology and Business University

In order to realize the rapid and non-destructive testing of chicken quality in broiler storage and transportation,the characteristics of hyperspectral imaging technology was used for the map and spectrum combo features,to extract the spectral characteristics,which that reflect the intrinsic quality of chicken;and the image texture features,color features,which reflect the external characteristics of chicken were also *** multi-source data fusion method was used to establish K-means-RBF prediction model of chicken meat quality rapid *** results show that the multi-source data fusion detection model established by K-means-RBF neural network has higher prediction accuracy than single feature classification model,and the precision is up to 100%.It is proved that the validity and necessity of multi-source data fusion method in chicken quality testing.

关键词： chicken hyperspectral multi-source data fusion neural network

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基于深度学习的高光谱腊肉营养安全分级

中国食品学报 2022年第1期22卷 275-281页

作者：肖洪兵郭培源王瑜北京工商大学人工智能学院北京100048 北京工商大学食品安全大数据技术北京市重点实验室北京100048

本文设计的卷积神经网络-支持向量机(CNN-SVM)模型,从腊肉的高光谱成像出发,将深度学习提取特征与传统机器学习提取特征有机结合,设计出准确可靠的腊肉营养安全四分类器。利用三维卷积神经网络提取腊肉高光谱图像的深层特征,同时融合高... 详细信息

本文设计的卷积神经网络-支持向量机(CNN-SVM)模型,从腊肉的高光谱成像出发,将深度学习提取特征与传统机器学习提取特征有机结合,设计出准确可靠的腊肉营养安全四分类器。利用三维卷积神经网络提取腊肉高光谱图像的深层特征,同时融合高光谱的光谱特征,联合输入支持向量机(SVM)实现对腊肉的分类和健康风险评价。结果:获得了与国家腊肉生化检测标准相一致的高光谱营养品质检测与健康风险评估指标,实现了可靠、快速评价其安全、营养品质的目标。在腊肉两分类的基础上,该方法实现的腊肉四分类的准确率达到92.5%,试验结果证明了该方法的可行性和有效性。

关键词：支持向量机高光谱安全卷积神经网络

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基于细菌菌斑变化的猪肉新鲜度检测方法研究

农机化研究 2009年第5期31卷 67-71页

作者：毕松郭培源北京工商大学信息工程学院北京100037

研究了猪肉变质过程中的生物化学机理,制作了猪肉腐败过程中各个时段细菌含量的样本。同时,提出了利用图像处理技术,提取各个时段生化细菌样本中的菌斑面积作为猪肉腐败程度标尺的测量方法,并利用神经网络建立细菌菌斑面积变化率同总挥... 详细信息

研究了猪肉变质过程中的生物化学机理,制作了猪肉腐败过程中各个时段细菌含量的样本。同时,提出了利用图像处理技术,提取各个时段生化细菌样本中的菌斑面积作为猪肉腐败程度标尺的测量方法,并利用神经网络建立细菌菌斑面积变化率同总挥发性盐基氮(TVB-N)之间的关系,为猪肉新鲜度检测提供一种新的辨识方法。

关键词：猪肉新鲜度细菌含量图像处理模式识别