摘要：An integrated sensor system is implemented using inter-integrated circuit mode (I2C) software, utilizing the PIC182585 MPLAB embedded control system utilizing hardware. The hardware implementation features high level of integration, reliability, high precision, and high speed communications. The system was demonstrated by temperature and CO2 sensors. An extension for Zigbee system is proposed to enhance the security of the integrated system. A bi-directional air/liquid flow sensor is also added to detect the flow magnitude and direction that can be applied to heating, ventilating, and air-conditioning (HVAC), local and national security within subway systems, and medical equipment. The hardware design of the flow sensor included one heating element and two sensing elements to detect the bi-directional flow. Platinum sensors were found to be of high sensitivity and linear characteristics within 0℃ to 100℃ range, and their high temperature coefficient (0.00385 Ω/Ω/℃). Polyimide thin film heater was used as the heating element due to its high throughput and good thermal efficiency. Two bridge circuits were also designed to sense the temperature distribution in the vicinity of the sensing elements. Three high precision instrumentation low power amplifiers with offset voltage ~2.5 μV (50 μV max) were used for the overall design. The system security is also enhanced with the detection of poison gas using Carbon Nanotube devices (CNT). An antenna system was designed, and a frequency shift was detected to designate the type of poison gas used for a general threat.

摘要：信息及通讯技术使得合作计算及其应用成为可能，甚至是必要的。在这样的一个环境中信任将最终决定它的成功和流行，这是因为人们希望隐私完整及可靠。如今的因特网及现有网络在设计上不是面向信任的，而且有可能被许多不能信任的因素所危及，

摘要：实验室可见-近红外高光谱数据(VIS-NIR)具有快速、高效、无损等技术优势,被越来越多应用于土壤组分反演中。光谱分辨率越高所能表达的土壤信息越丰富,但也带来了数据冗余。目前,对于不同光谱分辨率对土壤组分建模影响效应分析的研究相对较少。以欧洲土壤中心数据集19036个土壤样本为数据源,以土壤总氮(N)、有机碳(OC)、碳酸钙(CaCO_(3))、粘土(Clay)为例,基于偏最小二乘回归方法(PLS)并选择30%的随机样本独立验证的方式开展相关研究。首先将所有样本原始0.5 nm分辨率4200个波段的高光谱数据采用等间距取均值方法分别重采样到2,4,8,…,1024 nm开展分析。结果表明:随着光谱分辨率的降低,土壤各类组分反演精度均呈下降趋势,光谱分辨率在64 nm以上,4类土壤组分普遍具有较高的模型验证精度(R^(2)>0.65,RPD>1.7),光谱分辨率在128 nm以下CaCO 3和Clay组分精度显著变差;4类组分中,CaCO_(3)对光谱分辨率敏感性最强,在高光谱分辨率下反演精度较高(R 2>0.86,RPD>2.72),但随光谱分辨率降低精度下降最快。此外,基于光谱响应函数将样本光谱重采样到GF2,S3A,L8,Aster,Modis和S3OLCI六种常见卫星传感器的光谱分辨率展开评价。结果表明:土壤N、OC在各传感器中均可获得较高的精度,甚至在GF2传感器仅有4个波段情况下,也具有不错的验证精度(R^(2)=0.56;RPD=1.51),而土壤CaCO_(3)及Clay反演精度普遍较差;除传感器光谱波段数量外,波段位置对土壤组分的反演能力的影响也很显著,拥有近红外长波(1100~2500 nm)光谱范围的传感器对土壤组分的反演能力优于缺少该光谱波段的传感器,特别是粘土矿物的吸收峰多位于近红外长波段,S3A,L8,Aster和Modis传感器的Clay反演能力均优于光谱波段数更多的S3OLCI。该研究成果对土壤组分高光谱数据预处理、卫星数据源的选择及未来传感器光谱通道的设计具有指导意义。

摘要：空气分级燃烧和低氮燃烧器技术是电站锅炉所采用的主要低氮燃烧技术。在低氮燃烧技术中,低氮燃烧器一直是研究热点,对空气分级燃烧设计及优化及其对锅炉性能影响的研究较少。对超超临界墙式对冲锅炉燃尽风不同布置方式展开数值模拟研究,探讨不同燃尽风布置方式对燃烧效率和NOx排放的影响。研究表明,采用侧燃尽风的空气分级燃烧技术,可降低10%的飞灰含碳量,同时NOx浓度没有明显提高。