Cooperative spectrum monitoring with multiple sensors has been deemed as an efficient mechanism for improving the monitoring accuracy and enlarging the monitoring area in wireless sensor networks.However,there exists ...Cooperative spectrum monitoring with multiple sensors has been deemed as an efficient mechanism for improving the monitoring accuracy and enlarging the monitoring area in wireless sensor networks.However,there exists redundancy among the spectrum data collected by a sensor node within a data collection period,which may reduce the data uploading efficiency.In this paper,we investigate the inter-data commonality detection which describes how much two data have in common.We define common segment set and divide it into six categories firstly,then a method to measure a common segment set is conducted by extracting commonality between two files.Moreover,the existing algorithms fail in finding a good common segment set,so Common Data Measurement(CDM)algorithm that can identify a good common segment set based on inter-data commonality detection is proposed.Theoretical analysis proves that CDM algorithm achieves a good measurement for the commonality between two strings.In addition,we conduct an synthetic dataset which are produced randomly.Numerical results shows that CDM algorithm can get better performance in measuring commonality between two binary files compared with Greedy-String-Tiling(GST)algorithm and simple greedy algorithm.展开更多
This paper presents a novel laser⁃induced fluorescence(LIF)Lidar system for marine oil spilling detection.A bifurcated Y⁃type optical fiber and an optical collimating lens compose a coaxial configuration transceiver f...This paper presents a novel laser⁃induced fluorescence(LIF)Lidar system for marine oil spilling detection.A bifurcated Y⁃type optical fiber and an optical collimating lens compose a coaxial configuration transceiver for this LIF⁃Lidar system.This LIF⁃Lidar system was further applied to measure the excitation spectra from floating oil slicks with different thicknesses on top of seawater at different distances.The system presents several advantages such as compact structure,stable optical path,and convenient operation,which offers a wide application prospect in ocean exploration.展开更多
Our country's building by varying degrees of damage, especially lightning disasters. The damage to our country's buildings is the worst. Lightning disaster is one of the most serious disasters in China. In the...Our country's building by varying degrees of damage, especially lightning disasters. The damage to our country's buildings is the worst. Lightning disaster is one of the most serious disasters in China. In the process of production, it will seriously damage people's interests and life safety. In view of this situation, we must take the corresponding measures to prevent the lightning disaster to the building damage, so as to protect the interests and life safety of the people. In this article, this paper mainly expounds the detection work of preventing lightning disaster. The problems that often occur in the lightning protection detection of new buildings are found and studied, and the corresponding solutions are put forward to deal with lightning disaster. At the same time, avoid these problems.展开更多
针对现有污水样本快速检测技术存在的不足,以及传统实验室质谱技术无法应用于现场快速检测、检测耗时较长等问题,本文提出了一种基于脉冲直流电喷雾电离质谱(pulsed-DC-ESI-MS)测定生活污水中11种常见毒品(吗啡、甲基苯丙胺、去甲氯胺...针对现有污水样本快速检测技术存在的不足,以及传统实验室质谱技术无法应用于现场快速检测、检测耗时较长等问题,本文提出了一种基于脉冲直流电喷雾电离质谱(pulsed-DC-ESI-MS)测定生活污水中11种常见毒品(吗啡、甲基苯丙胺、去甲氯胺酮、苯丙胺、3,4-亚甲基双氧甲基苯丙胺、可卡因、6-单乙酰吗啡、3,4-亚甲基双氧苯丙胺、苯甲酰爱康宁、氯胺酮、可待因)的快速检测方法。污水样品经浓盐酸调节pH至2,用Oasis PRiME MCX固相萃取柱进行萃取,萃取液经氮吹至近干后用200μL甲醇复溶,涡旋0.5 min;复溶后的样品溶液经0.22μm有机相滤膜过滤后采用pulsed-DC-ESI-MS进行分析。方法学验证结果表明,11种毒品在各自的线性范围内具有良好的线性关系,相关系数(r2)均≥0.9986,检出限(LOD)为0.01~0.5μg/L,定量限(LOQ)为0.05~5μg/L。在低、中、高3个加标水平下,11种毒品的回收率为88.0%~107.6%,日内和日间精密度均≤8.5%。该方法检测速度快,大大提高了检测效率,适用于生活污水中常见毒品的快速检测分析。展开更多
最长公共子序列(longest common subsequence,LCS)是一种衡量代码相似度的可行指标.然而,经典LCS算法的时间复杂度较高,难以应对大型数据集,并且,由于代码文本序列中的词(token)本质为一种基于离散表示的编码,直接使用LCS算法无法有效...最长公共子序列(longest common subsequence,LCS)是一种衡量代码相似度的可行指标.然而,经典LCS算法的时间复杂度较高,难以应对大型数据集,并且,由于代码文本序列中的词(token)本质为一种基于离散表示的编码,直接使用LCS算法无法有效识别文本不同但语义相似的代码片段中的关键语义.针对这两方面的不足,提出一种面向LCS的嵌入方法,将代码间的LCS计算转换为代码低维稠密嵌入向量间的数值运算,并可以利用近似最近邻算法进一步加速其计算.为此,设计了一个可嵌入的基于LCS的距离度量方法,实验证明这种代码度量在提取函数关键语义的表现上优于对比嵌入工具使用的基于文本的距离或基于树的距离.同时,为了在嵌入过程中有重点地保留代码的关键语义,构建了两种损失函数和相应的训练集,识别文本上不同但语义上相似的代码元素,使模型在检测复杂代码克隆时有更好的表现.实验证明了该方法拥有很强的可扩展性,且其对复杂克隆的检测能力也保持在很高水平.将该技术应用于相似缺陷的识别,上报了23个未知缺陷,这些缺陷已被开发人员在实际项目中确认,其中有些复杂缺陷是难以被基于文本的LCS算法检出的.展开更多
基金supported in part by the National Natural Science Foundation of China(No.61901328)the China Postdoctoral Science Foundation (No. 2019M653558)+1 种基金the Fundamental Research Funds for the Central Universities (No. CJT150101)the Key project of National Natural Science Foundation of China (No. 61631015)
文摘Cooperative spectrum monitoring with multiple sensors has been deemed as an efficient mechanism for improving the monitoring accuracy and enlarging the monitoring area in wireless sensor networks.However,there exists redundancy among the spectrum data collected by a sensor node within a data collection period,which may reduce the data uploading efficiency.In this paper,we investigate the inter-data commonality detection which describes how much two data have in common.We define common segment set and divide it into six categories firstly,then a method to measure a common segment set is conducted by extracting commonality between two files.Moreover,the existing algorithms fail in finding a good common segment set,so Common Data Measurement(CDM)algorithm that can identify a good common segment set based on inter-data commonality detection is proposed.Theoretical analysis proves that CDM algorithm achieves a good measurement for the commonality between two strings.In addition,we conduct an synthetic dataset which are produced randomly.Numerical results shows that CDM algorithm can get better performance in measuring commonality between two binary files compared with Greedy-String-Tiling(GST)algorithm and simple greedy algorithm.
基金Sponsored by the National Natural Science Foundation of China(Grant No.61605033)the Natural Science Foundation of Shandong Province(Grant No.ZR2016FQ24)+1 种基金the Taishan Blue Industry Leadership Program,Project of Shandong Province(Grant No.[2015]1363)the Fundamental Research Funds for the Central Universities(Grant No.HIT.NSRIF.201719).
文摘This paper presents a novel laser⁃induced fluorescence(LIF)Lidar system for marine oil spilling detection.A bifurcated Y⁃type optical fiber and an optical collimating lens compose a coaxial configuration transceiver for this LIF⁃Lidar system.This LIF⁃Lidar system was further applied to measure the excitation spectra from floating oil slicks with different thicknesses on top of seawater at different distances.The system presents several advantages such as compact structure,stable optical path,and convenient operation,which offers a wide application prospect in ocean exploration.
文摘Our country's building by varying degrees of damage, especially lightning disasters. The damage to our country's buildings is the worst. Lightning disaster is one of the most serious disasters in China. In the process of production, it will seriously damage people's interests and life safety. In view of this situation, we must take the corresponding measures to prevent the lightning disaster to the building damage, so as to protect the interests and life safety of the people. In this article, this paper mainly expounds the detection work of preventing lightning disaster. The problems that often occur in the lightning protection detection of new buildings are found and studied, and the corresponding solutions are put forward to deal with lightning disaster. At the same time, avoid these problems.
文摘针对现有污水样本快速检测技术存在的不足,以及传统实验室质谱技术无法应用于现场快速检测、检测耗时较长等问题,本文提出了一种基于脉冲直流电喷雾电离质谱(pulsed-DC-ESI-MS)测定生活污水中11种常见毒品(吗啡、甲基苯丙胺、去甲氯胺酮、苯丙胺、3,4-亚甲基双氧甲基苯丙胺、可卡因、6-单乙酰吗啡、3,4-亚甲基双氧苯丙胺、苯甲酰爱康宁、氯胺酮、可待因)的快速检测方法。污水样品经浓盐酸调节pH至2,用Oasis PRiME MCX固相萃取柱进行萃取,萃取液经氮吹至近干后用200μL甲醇复溶,涡旋0.5 min;复溶后的样品溶液经0.22μm有机相滤膜过滤后采用pulsed-DC-ESI-MS进行分析。方法学验证结果表明,11种毒品在各自的线性范围内具有良好的线性关系,相关系数(r2)均≥0.9986,检出限(LOD)为0.01~0.5μg/L,定量限(LOQ)为0.05~5μg/L。在低、中、高3个加标水平下,11种毒品的回收率为88.0%~107.6%,日内和日间精密度均≤8.5%。该方法检测速度快,大大提高了检测效率,适用于生活污水中常见毒品的快速检测分析。
文摘最长公共子序列(longest common subsequence,LCS)是一种衡量代码相似度的可行指标.然而,经典LCS算法的时间复杂度较高,难以应对大型数据集,并且,由于代码文本序列中的词(token)本质为一种基于离散表示的编码,直接使用LCS算法无法有效识别文本不同但语义相似的代码片段中的关键语义.针对这两方面的不足,提出一种面向LCS的嵌入方法,将代码间的LCS计算转换为代码低维稠密嵌入向量间的数值运算,并可以利用近似最近邻算法进一步加速其计算.为此,设计了一个可嵌入的基于LCS的距离度量方法,实验证明这种代码度量在提取函数关键语义的表现上优于对比嵌入工具使用的基于文本的距离或基于树的距离.同时,为了在嵌入过程中有重点地保留代码的关键语义,构建了两种损失函数和相应的训练集,识别文本上不同但语义上相似的代码元素,使模型在检测复杂代码克隆时有更好的表现.实验证明了该方法拥有很强的可扩展性,且其对复杂克隆的检测能力也保持在很高水平.将该技术应用于相似缺陷的识别,上报了23个未知缺陷,这些缺陷已被开发人员在实际项目中确认,其中有些复杂缺陷是难以被基于文本的LCS算法检出的.
