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751.
752.
Sensor networks are deployed in many application areas nowadays ranging from environment monitoring, industrial monitoring, and agriculture monitoring to military battlefield sensing. The accuracy of sensor readings is without a doubt one of the most important measures to evaluate the quality of a sensor and its network. Therefore, this work is motivated to propose approaches that can detect and repair erroneous (i.e., dirty) data caused by inevitable system problems involving various hardware and software components of sensor networks. As information about a single event of interest in a sensor network is usually reflected in multiple measurement points, the inconsistency among multiple sensor measurements serves as an indicator for data quality problem. The focus of this paper is thus to study methods that can effectively detect and identify erroneous data among inconsistent observations based on the inherent structure of various sensor measurement series from a group of sensors. Particularly, we present three models to characterize the inherent data structures among sensor measurement traces and then apply these models individually to guide the error detection of a sensor network. First, we propose a multivariate Gaussian model which explores the correlated data changes of a group of sensors. Second, we present a Principal Component Analysis (PCA) model which captures the sparse geometric relationship among sensors in a network. The PCA model is motivated by the fact that not all sensor networks have clustered sensor deployment and clear data correlation structure. Further, if the sensor data show non-linear characteristic, a traditional PCA model can not capture the data attributes properly. Therefore, we propose a third model which utilizes kernel functions to map the original data into a high dimensional feature space and then apply PCA model on the mapped linearized data. All these three models serve the purpose of capturing the underlying phenomenon of a sensor network from its global view, and then guide the error detection to discover any anomaly observations. We conducted simulations for each of the proposed models, and evaluated the performance by deriving the Receiver Operating Characteristic (ROC) curves. 相似文献
753.
利用两轴正交全桥GMR传感器芯片SAS012产生两路正交信号,并利用Cyclone系列FP-GA芯片EP1C6PQ240设计了一台磁编码器原型机.由于设计中采用了流水线结构的CORDIC算法,能很好地满足系统实时性要求,并进一步在FPGA中进行了数字滤波.在原型机上的实验测试结果表明,该磁电编码器8倍频输出结果稳定. 相似文献
754.
SNMP的概念在上世纪末被提出,随着计算机和网络技术的不断发展,以及人们对网络应用环境要求的提高,伴随SNMP研究的逐步深入,同时也被更广泛地运用到实际中来.系统介绍SNMP研究内容的发展、应用算法的改进以及国内外研究动态,明确SNMP所面临的问题,探讨其未来的发展方向,为SNMP研究提供参考. 相似文献
755.
将1,4,5,8 萘四酸二酐(NTDA)与不同的磺化二胺单体、5 氨基 (2 对氨基苯)苯并咪唑(APABI)及9,9’ 对(4 氨基苯基)芴(BAPF)在间甲酚介质中进行缩聚,通过控制磺化二胺与其他二胺单体的摩尔比,合成了一系列具有不同离子交换容量(IEC)的含咪唑基磺化聚酰亚胺(Im SPI).同时,用溶液浇注法制得了具有良好机械强度的磺化聚酰亚胺薄膜,这些磺化聚酰亚胺薄膜在较高的相对湿度下显示出与Nafion112相当甚至更高的质子导电率,咪唑基的引入显著提高了膜的抗自由基氧化性,但膜的耐水性没有明显变化. 相似文献
756.
ZHANG Rui WU Min WANG Qiang GENG JinJu & YANG XiaoDi School of Chemistry Environmental Science Nanjing Normal University Nanjing China National Marine Environmental Monitoring Centre Dalian College of Environmental Science Engineering Peking University Beijing State Key Laboratory of Pollution Control Resource Reuse Nanjing University Nanjing 《科学通报(英文版)》2010,(16)
Phoshpine (PH3), a volatile and toxic gas, has been proved to commonly exist in the environment.The determination of gaseous phosphine and its emission fluxes in Ny-lesund is reported in this paper.Results showed that gaseous phosphine exist in Arctic atmosphere commonly and the concentration of phosphine ranged from 16.3-600.2 ng/m3, with the maximum concentration of phosphine in tundra areas and the minimum in surface air of ocean.The concentration of phosphine ranged from 65.79-1259 ng/m3 in colliery at... 相似文献
757.
通过简要介绍中国铝产业在国际的生产和消费情况,对目前国内铝产业状况,铝在电力、交通、建筑以及汽车制造等行业的发展前景作了总结,引出新疆铝工业发展历史、发展电解铝产业的优势和劣势以及电解铝产业发展所需要的各方面因素.为新疆电解铝产业能更好发展提出了几点建议. 相似文献
758.
通过对现代传媒的理论意义与潜能作用的分析,针对外籍受众的需求,从题材选择和表达方式上探究并提出了现代传媒对于构建休闲软环境的策略与具体建议。 相似文献
759.
760.
Rhizobia interact with host legumes to induce the formation of nitrogen-fixing nodules, which is very important in agriculture and ecology. The development of nitrogen-fixing nodules is stringently regulated by host plants and rhizobial symbionts. In our previous work, a new Sinorhizobium meliloti LysR regulator gene (lsrB) was identified to be essential for alfalfa nodulation. However, how this gene is involved in alfalfa nodulation was not yet understood. Here, we found that this gene was associated with prevention of premature nodule senescence and abortive bacteroid formation. Heterogeneous deficient alfalfa root nodules were induced by the in-frame deletion mutant of lsrB (lsrB1-2), which was similar to the plasmid-insertion mutant, lsrB1. Irregular senescence zones earlier appeared in these nodules where bacteroid differentiation was blocked at different stages from microscopy observations. Interestingly, oxidative bursts were observed in these nodules by DAB staining. The decreased expression of lipopolysaccharide core genes (lpsCDE) was correspondingly determined in these nodules. S. meliloti lipopolysaccharide is required for suppression of oxidative bursts or host cell defense. These findings demonstrate that the S. meliloti lsrB gene is involved in alfalfa root nodule development and bacteroid differentiation by suppressing oxidative bursts or defense responses in host cells. 相似文献