基于GPRS的移动式农田信息智能服务系统通信协议

移动式智能服务信息系统中,远程无线网络通信协议至关重要,担负着远程主机和移动终端之间进行信息交换和实现信息同步的功能。由于农田信息复杂多样,无法设计出通用的网络传输协议,必须根据实际应用中具体的需求而制定,因此该文提出了基于TCP/IP远程农田网络通信协议。利用此协议,移动式智能服务信息系统实现了远程主机对移动终端PDA的有效管理,实现了远程主机与无线移动终端之间的信息无缝连接,为实现对农田土壤水分、温度等数据的监控奠定基础。     

Demographics of cattle positive for Mycobacterium avium subspecies paratuberculosis by faecal culture,from submissions to the Cork Regional Veterinary Laboratory

The demography of bovine infections caused by Mycobacterium avium subspecies paratuberculosis (MAP) in Ireland is poorly defined. The objective of this study was to describe the demographics of cattle positive to MAP on faecal culture, based on submissions to the Cork Regional Veterinary Laboratory (Cork RVL) from 1994 to 2006. The study focused on all available faecal samples from adult cattle with non-responsive chronic diarrhoea that were submitted by private veterinary practitioners to Cork RVL for MAP culture. For each MAP-positive by faecal culture animal, data were collated from Cork RVL and Cattle Movement Monitoring Scheme (CMMS) records. Johne's disease (JD) was confirmed in 110 animals from 86 herds by the Cork RVL between 1994 and 2006, with a rate of positive cases between 15% and 18% over last four years of the study. Two breeds (Holstein/Friesian or Limousin) made up 78% of submissions. Movements were assessed for the 57 study animals with available movement information, 90% died within one year of the test and 26% tested positive in the herd they were born into. The study provides preliminary information about movement trends and demographics of animals with MAP positive submissions. Although the study area is restricted, it includes the most intensive (and economically-important) dairy region in Ireland. The demographics of JD infection from the study area are in agreement with international reports. Further work is required to determine demographic trends, incidence and prevalence of JD throughout Ireland. It is hoped this work may contribute to the development of a surveillance strategy for MAP by regional veterinary laboratories.     

安全屏障对储油罐区池火灾多米诺效应概率的影响

随着石油储库朝大型化、集约化方向发展,罐区工艺与设备日趋繁杂,一旦发生火灾事故,极易引发多米诺效应,导致灾难性后果.为了降低石油储库事故对周边人员、环境等造成的影响,基于主动、被动、应急与响应措施3种安全屏障的性能,采用事件树与贝叶斯网络方法针对不同安全屏障建模,进而对事故多米诺效应概率进行定量评估.结果表明:多层安全...     

大学生网络道德问题的诊断及调控对策

网络的迅猛发展带来了丰富的资源和交往的便利,也造成部分大学生网络道德情感冷漠、网络道德意识薄弱、网络道德信念缺失及网络道德行为失范等一系列问题。而网络主体、网络外部环境及网络技术是造成网络道德问题的根源。加强大学生的道德教育,构建社会、学校、家庭"三位一体"网络道德教育模式,加快网络信息技术研究,加强网络道德教育监管,强化网络道德规范,是加强大学生网络道德教育的有效措施。     

基于DEM的重庆三峡库区流域水系提取研究

以重庆三峡库区为研究对象,论述基于数字高程模型提取流域水系的方法、原理。应用“Burn-in”算法,对DEM进行再处理,即将发生河道偏差的平坦区域上的实际河网叠加到DEM中,对河道及河道两侧所在栅格单元高程值进行修正,重新生成流域河网。在原有DEM不作较大修改的前提下,使得生成的河网与实际河网更加匹配,同时也保证了模拟结果的准确性。     

基于WGCNA的棉花子叶抗冷相关共表达模块鉴定

权重基因共表达网络分析(weighted gene co-expression network analysis,WGCNA)是系统生物学的一种研究方法,在多样本转录组数据中挖掘与目标性状相关的基因模块应用较广泛.为深入探究棉花应对冷害胁迫的分子机制,以4℃低温处理不同时间点的2个棉花品种(新陆中16和新陆中32)幼苗...     

木本植物次生维管系统形态建成的基因调控与信号转导研究进展

树木的次生生长决定着木材的产量,具有重要的经济价值.围绕着草本模式植物拟南芥和木本模式植物杨树,对近年来有关维管组织形态建成的信号机制与基因调控的研究进展进行概括,主要内容为:维管组织的功能与形成;维管形成层的细胞类型及基因表达特异性;木质部和韧皮部细胞极性的有关关键基因;维管形成层干细胞的分化机制;维管组织发育中的激素调控网络.重点对比拟南芥和杨树这2种模式物种之间的异同.     

无线传感器网络及其在林业中的应用

综述了无线传感器网络(Wireless Sensor Networks,WSN)的节点构成、体系结构、研究热点以及在森林火灾监测和救灾、自然保护区生态多样性监测、生态环境监测、木材检测、精准林业中的应用研究现状,表明其在林业中的应用虽然尚处于起步阶段,但其扩展了传统资源管理的能力,尤其数据采集上更突破传统方法的局限,有着广阔的应用前景。     

Online wine wearing detection device for AC contact network

For the transmission pressure 27.5 kV of the railroad AC contact network, and the non parallel (on earth) arbitrary plane for the wire wearing surface, the optic fiber was used to isolate the high voltage and to transmit the measurement signal. A remote grating type adaptive automatic machinery transducer was used to detect the AC contact network wire wearing surface with about seven meters from the ground. Based on this method, a system was designed and calibrated, achieving measurement of wire rubbing with high voltage. The actual measurements indicate that the method and the system satisfy the demand of the measurement of contact network wire wearing. The method is significant to the geometric sense measurement of the high voltage charged body.     

Application of soft sensor in the on line measurement of theiron ore’s surface temperature

It is difficult to measure the surface temperature of iron ore directly. A method is put forward to handle this problem by using soft sensing technique. This on line measurement method is used to replace the Lagrange interpolation off line method to estimate surface temperature. The method used L M optimum algorithm to build up ANN soft sensor model combined with off line learning neural network to establish the correlation between input variables and target variables, to achieve the surface temperature on line detection. The results of simulation and experimentation indicate that the method is reasonable and feasible.