论商业银行市场营销的开展

商业银行的市场营销策略是在正确分析宏观营销环境的基础上,运用品牌经营战略作为手段,把握住网络营销这个未来竞争的战略制高点,逐步深入开展各项营销工作,以推动商业银行自身快速、健康地发展。     

利用ETM多光谱数据与SPOT5全色数据相融合进行森林资源调查

以ETM多光谱数据与SPOT5全色数据融合的遥感图像为对象,利用遥感图像和地面调查相结合的方法对吉林省东部山区进行森林资源调查,既可节约成本,又可提高调查精度,为遥感技术应用于森林资源调查设计探索了经验。     

梣天牛危害损失调查初报

梣天牛幼虫危害椴树主干,成虫危害椴树叶柄,在3年内使树体从上向下干枯死亡,材质腐化,平均枯死木蓄积占林木蓄积的18．12％。发生林分直接经济损失16 110元·hm-2,生态效益损失在96 660 -322 200元。     

蜂群箱体关键参数在线监测系统与性能测试

随着信息技术的发展,利用大数据分析、物联网监控、传感器感知、无线通信等技术构建一种蜂箱蜂群实时在线监测系统,是减少因开箱检查造成蜂群应激反应的可行解决方案。本研究针对蜂箱封闭环境进行实时监测困难的现状,利用STM32F103VBT6 32位微控制器,同时融合了温湿度传感器、微麦克风以及激光对射传感器,开发了一套低功耗、可连续工作的蜂群箱体关键参数在线监测系统,实现了养蜂生产过程中多参数信息获取以及蜂箱内蜂群的环境参数和生活状态的实时在线监测。系统主要包括核心处理模块、数据采集模块、数据发送模块以及数据库服务器等。数据采集模块包括蜂箱内部温湿度采集单元、蜂群声音采集单元、蜜蜂进出巢数量计数单元等,通过接入移动通信网络进行数据传输。系统现场部署性能测试结果表明,研制的系统能够实时监测蜂箱内温湿度,有效区别进出蜂箱的蜜蜂并记录进出巢门的蜜蜂数量,且自动获取的蜂群声音与标准的蜂群声音分布相吻合。本系统符合设计要求,采集参数准确可靠,可以作为蜂群相关研究的数据采集方法。     

Impact of the COVID-19 pandemic on agricultural exports

The COVID-19 outbreak has shocked the world's economies in the year of 2020. As this pandemic spreads around the globe, many experts feared that the global food supplies might start running short, especially if supply chains were disrupted. COVID-19 also added to the uncertainty of the business operation. Therefore, it is critical to understand how COVID-19 pandemic affected global food supply and market. In this study, we investigate the impact of COVID-19 on agricultural export companies in China using a unique firm-level survey data. We found that although on average agricultural businesses experienced declines in the exports, exports of some agricultural products especially grain and oil held strong and even increased, implying the essential demand for staple food during the pandemic. Not surprisingly, exports of medicinal herb also increased significantly during the pandemic. However, exports of goods such as edible fungus and horticultural products sharply decreased. Our results also showed that in general, impact of COVID-19 on smaller firms was more severe than that on larger firms. The results of this study can provide useful guidance and implications for agricultural businesses and policy makers on their COVID-19 mitigation efforts to navigate this global pandemic.     

基于实时性优化的内燃机燃烧分析系统研究

采用缸压传感器、数据采集卡、光电编码器和Lab VIEW软件,搭建在线缸压采集和实时燃烧分析系统平台,研究HCCI和RCCI燃烧模式的循环波动特性。针对单循环缸压测量过程中的通道效应干扰,基于频谱分析,采用FFT、线性插值法和IFFT等方法相结合的滤波方式,实现共振峰的在线自适应识别与实时滤波,较好地减少了单循环缸压的干扰误差,使单循环的实时燃烧分析成为可能。随后,基于实时滤波后的缸压曲线,计算得到内燃机的最大压力升高率、燃烧放热率、爆发压力等重要燃烧参数。利用程序算法中同步性良好的生产者/消费者运算模式提高数据的共享能力,实现了数据实时运算与数据快速储存的并行处理,提高了燃烧计算的实时性;针对发动机不同工作阶段采用了不同精度层次的计算方法,减少了进排气、压缩和膨胀阶段的计算耗时,在计算量较大的燃烧放热率计算部分,通过适当简化计算公式和公式节点运算模块来提高燃烧系统的实时性。最后,分析了燃烧分析系统的实时性,并进行了燃烧分析系统的实验验证。     

Serologic and molecular survey for major viral pathogens in grazing hybrid wild boars in Northeast China

Hybrid wild boar husbandry is an important component of livestock production in Northeast China. However, the current disease situation of these animals is largely unknown due to a lack of disease surveillance. The present study was conducted to determine the prevalence of several important viral diseases in the hybrid wild boar population of Northeast China. Between September 2015 to December 2016, 169 blood and 61 tissue samples were collected from apparently healthy hybrid wild boars from farms in Jilin, Inner Mongolia and Heilongjiang provinces. ELISA detected serum antibodies against classical swine fever virus(CSFV), porcine reproductive and respiratory syndrome virus(PRRSV), pseudorabies virus(PRV), porcine circovirus type 2(PCV2) and Japanese encephalitis virus(JEV), but not against African swine fever virus(ASFV), with PCV2 having the highest seropositive rate(87.2–100% in different farms). RT-PCR or PCR performed on the processed samples detected only PCV2, with 33.1%(56/169) of blood samples and 32.8%(20/61) of spleen samples being positive, respectively, indicating widespread PCV2 infection in hybrid wild boars. Phylogenetic analysis of 15 PCV2 ORF2 sequences showed that they belong to genotypes PCV2a, PCV2b and PCV2d, with nucleotide and deduced amino acid homologies of 88.5–100% and 88.1–100%, respectively.     

基于RGB-D图像的自动化膳食调查系统

针对传统膳食调查方法使用过程繁琐,耗时长的问题,对基于彩色深度图像的自动化膳食调查系统进行研究,采用DeepLabv3+语义分割模型对RealSense传感器获取的食物彩色图像进行分割,根据食物分割结果和对应的深度图像计算每一类别食物体积并结合食物配料表和营养成分估算营养素含量;同时采集人体深度图像序列结合蒙皮多人线性模型拟合三维人体模型,并利用模型点云和人体体重信息计算身体质量指数和腰臀比。结果表明:1)本系统在食物图像分割中的像素准确率为72.1%,像素准确率平均值为97.13%,平均交并比为82.03%;2)食物体积计算中的平均绝对误差均小于40 cm³;3)所有人体样本计算的腰臀比与真实值偏离程度均小于4%。本系统在实现自动监测食物各营养素摄入量的基础上,增加对人体体重状况以及中心性肥胖程度的初步判定,同时提高了膳食调查的便捷性和自动化程度,可以为营养干预提供依据和参考。     

古树名木调查方法的改进

从弥补古树名木调查方法的缺陷入手,通过在传统调查方法中引入全站仪、GPS等精密仪器和交叉定年技术,对调查方法的改进原理进行了探讨。比较和讨论2种调查方法,结果表明新的调查方法提高了树龄、树高、胸径和冠幅等关键数据的精度,并增加了地理坐标数据和多媒体信息的采集。图3参18     

农村职业教育线上教学模式的改革与探索

为了保证全面脱贫与乡村振兴,巩固脱贫攻坚成果,农村职业教育发挥着重要作用.研究对象是高素质农民,这个群体的技能提升问题亟须解决,应培养其终身学习习惯,提升学习效果,赋能乡村振兴.根据高素质农民线上学习存在的问题,构建线上教学模式,打造"四位一体"体验式课堂教学闭环,进一步提升了高素质农民的课堂参与感,并进行深度的探索与实践,为农业产业的现代化发展提供智力支撑,为农村职业教育发展提供解决方案.