灌区地下水水位远程监测系统上位机软件的设计与实现

针对目前黑龙江垦区的水位监测现状,以及测点分散、距离远等特点,采用集散结构,以计算机为主控机,单片机为下位机采集水位数据,采用GPRS无线通信模块完成数据远程传输。利用C#语言编程将下位机获取的数据通过串口进行读取、转换、读取并实时显示。通过VS2008.NET编程环境中的Serial Port类和Thread类,大大提高了程序的运行效率。通过实际应用表明,基于GPRS模块进行远程地下水水位监测是一种经济、可靠、便捷的监测系统。     

在线式水田渗透量监测仪的研究

目前测量渗透量的方法主要是用改进的日式渗漏仪目测测管的刻度来计算渗透量。但不能实现实时监测的目的,为了实现对稻田渗透量的实时监测,设计了一种在线式水田渗透量监测仪。其硬件主要包括水箱、渗桶、液位仪、土壤水分传感器、泵、无线模块、主机。以MSP430单片机为核心,土壤水分传感器和液位传感器把水分和液位信息传到单片机,供水泵由液位或水分值来控制,实现饱和渗透量的测量及非饱和渗透量的测量,用无线模块把数据传输到监测室的上位机。通过试验,采集的数据满足精度要求,给灌区的规划管理、合理运行、水资源的合理调配与实施节水灌溉提供了可靠的渗透量数据。     

甘肃省农村信息网络建设方式探讨

农村信息网络建设缓慢一直制约着农村的发展,如何突破网络的"最后一公里"是建设农村信息网络的关键。从甘肃省农村信息网络建设的基本现状出发,对存在的问题、网络建设和网络运行后的效益进行了分析,提出了有线网络与无线网络相结合的农村信息网络建设方式,对农村信息化建设具有一定的促进作用。     

农业科技区域精准传播策略研究——以福建省农科院农业科技区域传播为例

中国各区域的自然、农作物生长等条件的差异较大,生产结构呈多元化,农业科技传播的内容要与每个区域农村的生产实际都相适应还存在着一定的难度。研究农业科技区域精准传播策略的目的是探索如何能使农业科技传播内容、途径与当地农村生产实际相适应。本研究应用区域传播学理论,从农业科技区域传播的规律出发,以"福建省农业科学院农业科技区域传播"的成功案例为启示,提出以区域环境为坐标划分传播区域,根据传播区域的差异特征来制定传播的方式和内容,以及促进区域传播与区域环境良性互动的对策与建议。     

开孔农用隐蔽式通信电缆屏蔽效应分析(英文)

以农用隐蔽式信号电缆的开孔屏蔽壳体为研究对象,应用线性边界元法计算了屏蔽体上开有不同对称/非对称孔型时对屏蔽效能的影响。根据工程实例计算表明:对于双芯屏蔽电缆,当孔深较浅时屏蔽电缆的耦合电容影响不大,随着孔洞深度的增加,对称/非对称劈形孔耦合电容变化幅度最小;而不同形状孔洞的宽窄对耦合电容影响不太明显。     

基于移动通信的林产品运输信息平台开发

基于移动通信的SMS、Mobile Web技术,开发林产品运输信息平台,可实现检尺员上传检尺短信后,实时采伐监控并加强运输监管。该平台有助于运输公司实现物流通知、空车配货,能提高服务质量,降低物流成本。系统架构成本、运营成本低,具有较强的市场竞争力。     

The importance of mother–infant communication for social bond formation in mammals

Mother–infant bonding is a universal relationship of all mammalian species. Here, we describe the role of reciprocal communication between mother and infant in the formation of bonding for several mammalian species. Mother–infant bond formation is reinforced by various social cues or stimuli, including communicative signals, such as odor and vocalizations, or tactile stimuli. The mother also develops cross‐modal sensory recognition of the infant, during bond formation. Many studies have indicated that the oxytocin neural system plays a pivotal role in bond formation by the mother; however, the underlying neural mechanisms for infants have not yet been clarified. The comparative understanding of cognitive functions of mother and infants may help us understand the biological significance of mother–infant communication in mammalian species.     

Hierarchical self-localization of underwater wireless sensor network nodes

The follow-up application of underwater wireless sensor network is influenced by accuracy of self-localization of nodes. The self-localization of nodes is discussed in this paper. First of all, nodes of underwater wireless sensor network are classified into several levels according to the accuracy of position of nodes and the levels are from the first to the fifth in accordance with accuracy of nodes from high to low respectively. Secondly, the level of anchor nodes can be known by those unknown nodes from the information given by the anchor nodes themselves, At the same time the unknown nodes are able to be located in the area controlled by the first level of anchor nodes that are as the aggregation. Then the positioning algorithm is designed correspondingly in accordance with the accuracy level of nodes. Finally, the positioning algorithm is simulated and analyzed. The result shows that the unknown nodes can be located effectively by hierarchical control.     

Analysis on the optimum dynamic quality of wireless mesh network

In order to procure the optimum quality of control for full-controlled wireless mesh network, the primary influencing factor network time delay is analyzed. In order to get the optimum quality of control,the minimum network time delay should be acquired,and the algorithm of branch and bound is given to solve this problem. According to the numerical simulation, the quality of control for the whole network system with decreasing the delay time can be optimized by adjusting the number of nodes, the average transmission hop counts, and the probability of successful channel access and transmission for random nodes.     

Adaptive relay selection algorithm in decode-and-forward cooperative communication networks

An adaptive relay selection algorithm(ARS) is proposed to optimize the performance of decode-and-forward cooperative communication networks, both system outage probability and average numbers of cooperative relays are analyzed. When the direct transmission between source and destination is fail, according to the channel quality, the destination orders relay nodes in the decode set, and the ordered relays are included in cooperation in turn until the instantaneous received SNR at destination is not smaller than the preset SNR threshold. Simulation results show that, the proposed algorithm can get optimal outage performance, decrease the average numbers of cooperative relays efficiently, to incrense bandwidth efficiency and reduce system overhead.