This paper presents a novel strategy for the response enhancement of olfactory sensory neurons (OSNs)-based biosensors by monitoring the enhancive responses of OSNs to odorants. An OSNs-based biosensor was developed o...This paper presents a novel strategy for the response enhancement of olfactory sensory neurons (OSNs)-based biosensors by monitoring the enhancive responses of OSNs to odorants. An OSNs-based biosensor was developed on the basis of the light addressable potentiometric sensor (LAPS), in which rat OSNs were cultured on the surface of LAPS chip and served as sensing elements. LY294002, the specific inhibitor of phosphatidylinositol 3-kinase (PI3K), was used to enhance the responses of OSNs to odorants. The responses of OSNs to odorants with and without the treatment of LY294002 were recorded by LAPS. The results show that the enhancive effect of LY294002 was recorded efficiently by LAPS and the responses of this OSNs-LAPS hybrid biosensor were enhanced by LY294002 by about 1.5-fold. We conclude that this method can enhance the responses of OSNs-LAPS hybrid biosensors, which may provide a novel strategy for the bioelectrical signal monitor of OSNs in biosensors. It is also suggested that this strategy may be applicable to other kinds of OSNs-based biosensors for cellular activity detection, such as microelectrode array (MEA) and field effect transistor (FET).展开更多
2009年8月8日至8月11日,第二届国际光子与光电子学会议(POEM:Potonics and OptoelectronicsMeetings 2009)在华中科技大学召开。在光存储与新型存储技术(OSNS:Optical Storage and NewStorage Technologies)分会上,来自学术界的众多相...2009年8月8日至8月11日,第二届国际光子与光电子学会议(POEM:Potonics and OptoelectronicsMeetings 2009)在华中科技大学召开。在光存储与新型存储技术(OSNS:Optical Storage and NewStorage Technologies)分会上,来自学术界的众多相关人士,回顾了近年来光存储技术的发展,同时也进一步探索了当前各种数据存储技术的发展前景。展开更多
提前获知或预测网络的关键节点,便可根据关键节点的相关信息对网络进行优化,当网络瘫痪时,可第一时间排查关键节点,减少网络维护时间和成本.现有静态无线传感器网络关键节点预测方法,不适用于机会传感器网络(opportunistic sensor netwo...提前获知或预测网络的关键节点,便可根据关键节点的相关信息对网络进行优化,当网络瘫痪时,可第一时间排查关键节点,减少网络维护时间和成本.现有静态无线传感器网络关键节点预测方法,不适用于机会传感器网络(opportunistic sensor networks,OSNs).针对机会传感器网络结构动态变化、消息传输时延高的特点,分析多区域机会传感器网络分层结构的消息传输过程,定义阶段贡献度反映Ferry节点在消息传输过程中的贡献程度,定义区域贡献度反映Ferry节点对区域的贡献程度.在此基础上,以Ferry节点在网络中的综合贡献度作为判断关键节点的依据,提出基于多属性决策中理想点法(technique for order preference by similarity to ideal solution,TOPSIS)的关键节点预测方法.实验结果表明:采用改进TOPSIS算法能够获得更高的预测精度;搭建了实验床以进一步验证提出的预测方法,结果表明,采用改进TOPSIS算法的预测精度更高.展开更多
针对海洋传感网(Ocean Sensor Networks,OSNs)中采用非协同算法单一循环地对多个水面目标节点依次定位导致的定位效率低、定位精度差等问题,提出一种基于有效集的再优化协同定位(Active Set Method based Re-Estimation Cooperative Loc...针对海洋传感网(Ocean Sensor Networks,OSNs)中采用非协同算法单一循环地对多个水面目标节点依次定位导致的定位效率低、定位精度差等问题,提出一种基于有效集的再优化协同定位(Active Set Method based Re-Estimation Cooperative Localization,ASM-RECL)算法。研究将原定位的非凸非线性问题转化为基于交替非负约束最小二乘(Alternative Nonnegative Constrained Least Squares,ANCLS)的优化问题,利用有效集法(Active Set Method,ASM)通过内外循环寻求优化问题的可行解。但ASM算法易陷入局部最优,为进一步提升解的质量,改进定位精度,基于ASM得出的可行解,应用一阶泰勒级数线性展开再次构造优化方程,最小化定位误差。此外,研究还推导得到基于协同定位的克劳美罗下界(Cooperative Localization-based Cramer-Rao Low Bound,CRLB-CL),以此作为评价标准评估提出的定位算法的有效性。仿真实验表明,在不同的条件下,ASM-RECL的定位精度较高于其他算法。展开更多
在线社交网络(Online Social Networks, OSNs)数据量庞大,如何以低成本采样获取具有代表性的子图成为当前一个研究热点。现有的大部分采样算法仅仅体现在样本列表的无偏特性上,很多情况下,其采样样本构造的诱导子图难以代表原图结构。...在线社交网络(Online Social Networks, OSNs)数据量庞大,如何以低成本采样获取具有代表性的子图成为当前一个研究热点。现有的大部分采样算法仅仅体现在样本列表的无偏特性上,很多情况下,其采样样本构造的诱导子图难以代表原图结构。本文对各种类型的OSN提出了一种新的采样方法,该算法在原有的随机游走算法基础上重新计算了采样跳转概率,修正采样诱导子图的偏差,使其能够更出色地代表原图。同时,本文的采样算法通过计算权重的方式采集邻接节点,省去了自循环过程,从而大幅度提高了采样效率。实验结果表明,本论文提出的采样算法在度分布、聚类系数、传递性、同配性各个方面综合对比,采样获取的子图更加接近原图的属性结构。最后,该算法在大多数情况下,其性能与表现均优于现有采样算法。展开更多
基金supported by the National Natural Science Foundation ofChina (No. 60725102)the Natural Science Foundation of Zhejiang Province, China (No. R205505)
文摘This paper presents a novel strategy for the response enhancement of olfactory sensory neurons (OSNs)-based biosensors by monitoring the enhancive responses of OSNs to odorants. An OSNs-based biosensor was developed on the basis of the light addressable potentiometric sensor (LAPS), in which rat OSNs were cultured on the surface of LAPS chip and served as sensing elements. LY294002, the specific inhibitor of phosphatidylinositol 3-kinase (PI3K), was used to enhance the responses of OSNs to odorants. The responses of OSNs to odorants with and without the treatment of LY294002 were recorded by LAPS. The results show that the enhancive effect of LY294002 was recorded efficiently by LAPS and the responses of this OSNs-LAPS hybrid biosensor were enhanced by LY294002 by about 1.5-fold. We conclude that this method can enhance the responses of OSNs-LAPS hybrid biosensors, which may provide a novel strategy for the bioelectrical signal monitor of OSNs in biosensors. It is also suggested that this strategy may be applicable to other kinds of OSNs-based biosensors for cellular activity detection, such as microelectrode array (MEA) and field effect transistor (FET).
文摘2009年8月8日至8月11日,第二届国际光子与光电子学会议(POEM:Potonics and OptoelectronicsMeetings 2009)在华中科技大学召开。在光存储与新型存储技术(OSNS:Optical Storage and NewStorage Technologies)分会上,来自学术界的众多相关人士,回顾了近年来光存储技术的发展,同时也进一步探索了当前各种数据存储技术的发展前景。
文摘提前获知或预测网络的关键节点,便可根据关键节点的相关信息对网络进行优化,当网络瘫痪时,可第一时间排查关键节点,减少网络维护时间和成本.现有静态无线传感器网络关键节点预测方法,不适用于机会传感器网络(opportunistic sensor networks,OSNs).针对机会传感器网络结构动态变化、消息传输时延高的特点,分析多区域机会传感器网络分层结构的消息传输过程,定义阶段贡献度反映Ferry节点在消息传输过程中的贡献程度,定义区域贡献度反映Ferry节点对区域的贡献程度.在此基础上,以Ferry节点在网络中的综合贡献度作为判断关键节点的依据,提出基于多属性决策中理想点法(technique for order preference by similarity to ideal solution,TOPSIS)的关键节点预测方法.实验结果表明:采用改进TOPSIS算法能够获得更高的预测精度;搭建了实验床以进一步验证提出的预测方法,结果表明,采用改进TOPSIS算法的预测精度更高.
文摘针对海洋传感网(Ocean Sensor Networks,OSNs)中采用非协同算法单一循环地对多个水面目标节点依次定位导致的定位效率低、定位精度差等问题,提出一种基于有效集的再优化协同定位(Active Set Method based Re-Estimation Cooperative Localization,ASM-RECL)算法。研究将原定位的非凸非线性问题转化为基于交替非负约束最小二乘(Alternative Nonnegative Constrained Least Squares,ANCLS)的优化问题,利用有效集法(Active Set Method,ASM)通过内外循环寻求优化问题的可行解。但ASM算法易陷入局部最优,为进一步提升解的质量,改进定位精度,基于ASM得出的可行解,应用一阶泰勒级数线性展开再次构造优化方程,最小化定位误差。此外,研究还推导得到基于协同定位的克劳美罗下界(Cooperative Localization-based Cramer-Rao Low Bound,CRLB-CL),以此作为评价标准评估提出的定位算法的有效性。仿真实验表明,在不同的条件下,ASM-RECL的定位精度较高于其他算法。
文摘在线社交网络(Online Social Networks, OSNs)数据量庞大,如何以低成本采样获取具有代表性的子图成为当前一个研究热点。现有的大部分采样算法仅仅体现在样本列表的无偏特性上,很多情况下,其采样样本构造的诱导子图难以代表原图结构。本文对各种类型的OSN提出了一种新的采样方法,该算法在原有的随机游走算法基础上重新计算了采样跳转概率,修正采样诱导子图的偏差,使其能够更出色地代表原图。同时,本文的采样算法通过计算权重的方式采集邻接节点,省去了自循环过程,从而大幅度提高了采样效率。实验结果表明,本论文提出的采样算法在度分布、聚类系数、传递性、同配性各个方面综合对比,采样获取的子图更加接近原图的属性结构。最后,该算法在大多数情况下,其性能与表现均优于现有采样算法。
