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Cleaning RFID data streams based on K-means clustering method

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The Journal of China Universities of Posts and Telecommunications 2020年第2期27卷 72-81页

作者： lin qiaomin Fa Anqi Pan Min Xie Qiang Du Kun Sheng Michael College of Computer Nanjing University of Posts and TelecommunicationsNanjing 210023China College of Education Science and Technology Nanjing University of Posts and TelecommunicationsNanjing 210023China Department of Computing Macquarie UniversitySydney 2109Australia College of Overseas Education Nanjing University of Posts and TelecommunicationsNanjing 210023China Abstract

Currentlyradio frequency identification(RFID)technology has been widely used in many kinds of applications.Store retailers use RFID readers with multiple antennas to monitor all tagged items.However,because of the interference from environment and limitations of the radio frequency technology,RFID tags are identified by more than one RFID antenna,leading to the false positive readings.To address this issue,we propose a RFID data stream cleaning method based on K-means to remove those false positive readings within sampling time.First,we formulate a new data stream model which adapts to our cleaning algorithm.Then we present the preprocessing method of the data stream model,including sliding window setting,feature extraction of data stream and normalization.Next,we introduce a novel way using K-means clustering algorithm to clean false positive readings.Last,the effectiveness and efficiency of the proposed method are verified by experiments.It achieves a good balance between performance and price.

关键词： false positive reading data stream K-means RFID

A Novel Routing Strategy to Provide Source Location Privacy in Wireless Sensor Networks

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Wuhan University Journal of Natural Sciences 2016年第4期21卷 298-306页

作者： LI Shuming XIAO Yan lin qiaomin QI Zhuzhu Downstream Hydrology and Water Resources Survey Bureau Yangtze River Water Conservancy Committee College of Computer Nanjing University of Posts and Telecommunications

In order to secure the source location privacy when information is sent back to the base station in wireless sensor network, we propose a novel routing strategy which routes the packets to the base station through three stages： directional random routing, h-hop routing in the annular region and the shortest path routing. These stages provide two fold protections to prevent the source location from being tracked down by the adversary. The analysis and simulation results show that proposed scheme, besides providing longer safety period, can significantly reduce energy consumption compared with two baseline schemes.

关键词： source location privacy wireless sensor networks（WSN） safety period energy efficiency

ENERGY EFFICIENT DISTRIBUTED STEGANOGRAPHY FOR SECURE COMMUNICATION IN WIRELESS MULTIMEDIA SENSOR NETWORKS

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Journal of Electronics(China) 2013年第1期30卷 9-16页

作者： lin qiaomin Wang Ruchuan Ye Ning Wang Zhongqin College of Computer Nanjing University of Posts and Telecommunications Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Key Lab of Broadband Wireless Communication and Sensor Network Technology (Nanjing University of Posts and Telecommunications) Ministry of Education Department of Information Science Nanjing College for Population Management

A secure communication mechanism is necessary in the applications of Wireless Multimedia Sensor Networks (WMSNs), which is more vulnerable to security attacks due to the presence of multimedia data. Additionally, given the limited technological resources (in term of energy, computation, bandwidth, and storage) of sensor nodes, security and privacy policies have to be combined with energy-aware algorithms and distributed processing of multimedia contents in WMSNs. To solve these problems in this paper, an energy efficient distributed steganography scheme, which combines steganography technique with the concept of distributed computing, is proposed for secure communication in WMSNs. The simulation results show that the proposed method can achieve considerable energy efficiency while assuring the communication security simultaneously.

关键词：传感器网络无线多媒体分布式处理安全通信节能高效隐写术分布式计算传感器节点

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一种晃动智能手机产生音乐的方法

软件导刊 2024年第7期23卷 110-114页

作者：林巧民陶海林泽城南京邮电大学教育科学与技术学院南京邮电大学通信与信息工程学院江苏南京210023

受物联网让物体开口说话启发,利用智能手机自带的传感器感知手机状态并生成音乐旋律,无需额外硬件设备。通过对内置于智能手机中的传感器进行尝试后,选择加速度传感器进行体感交互,在手持智能手机前想象一个基于传感器的空间坐标系,沿+x... 详细信息

受物联网让物体开口说话启发,利用智能手机自带的传感器感知手机状态并生成音乐旋律,无需额外硬件设备。通过对内置于智能手机中的传感器进行尝试后,选择加速度传感器进行体感交互,在手持智能手机前想象一个基于传感器的空间坐标系,沿+x、-x、+y、++y、-y、–-y、+z和-z坐标轴挥动智能手机获得感知相关数据,根据数据将八度音符映射到不同的手部挥动动作,驱动扬声器奏出相应音符。基于Android平台开发的应用程序实验表明,根据动作与音符的映射可演奏《小星星》等简单乐曲旋律,能将智能手机变成一种乐器,适合低年龄阶段等人群基于自身交互进行音乐启蒙教育,做到寓教于乐。

关键词：智能手机传感器具身交互音乐生成

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Efficient privacy-preserving classification construction model with differential privacy technology

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Journal of Systems Engineering and Electronics 2017年第1期28卷 170-178页

作者： lin Zhang Yan Liu Ruchuan Wang Xiong Fu qiaomin lin College of Computer Nanjing University of Posts and TelecommunicationsNanjing 210003China Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Nanjing 210003China

To address the problem of privacy disclosure during data mining, a new privacy-preserving decision tree classification construction model based on a differential privacy-protection mechanism is presented. An efficient classifier that uses feedback to add two types of noise via Laplace and exponential mechanisms to perturb the calculation results are introduced to the construction algorithm that provides a secure data access interface for users. Different split solutions for attributes of continuous and discrete values are provided and used to optimize the search scheme to reduce the error rate of the classifier. By choosing an available quality function with lower sensitivity for making decisions and improving the privacy budget allocation methods, the algorithm effectively resists malicious attacks that depend on the background knowledge. The potential problem of obtaining personal information by guessing unknown sensitive nodes of tree-type data is solved correspondingly. The better privacy preservation and accuracy of this new algorithm are shown by simulation experiments. ? 1990-2011 Beijing Institute of Aerospace Information.

关键词： Budget control Data mining Decision trees Trees (mathematics)

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关汉卿杂剧中的和谐观

河北广播电视大学学报 2005年第5期10卷 46-48页

作者：林巧敏浙江广播电视大学温岭分校温岭317500

中国传统文化中一个显著的特点是“和”、“和谐”,而元代则是中国历史上一个极不和谐的社会。关汉卿杂剧创作正是在这样一个社会和文化的背景下,从创作心态、团圆心理、死亡意识及剧中人物的人格美等方面表现了他对包容性极强的中国传... 详细信息

中国传统文化中一个显著的特点是“和”、“和谐”,而元代则是中国历史上一个极不和谐的社会。关汉卿杂剧创作正是在这样一个社会和文化的背景下,从创作心态、团圆心理、死亡意识及剧中人物的人格美等方面表现了他对包容性极强的中国传统文化和谐观的继承。

关键词：和谐悲剧团圆死亡意识

化学试剂和助剂制造行业VOCs排放成分谱及影响

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环境科学与技术 2024年第S1期47卷 111-117页

作者：王巧敏车祥陈曦何小红刘红潘妙婷江敏孜林长青上海市化工环境保护监测站上海200050 上海市环境监测中心上海200235

使用SUMMA罐采集和GC-MS定量分析技术研究了上海市化学试剂和助剂制造行业6家企业有组织废气中的挥发性有机物(VOCs),计算了各企业VOCs排放量和排放系数,并对排放成分谱及臭氧生成潜势(OFP)进行了分析和评价。结果表明,该行业VOCs的基... 详细信息

使用SUMMA罐采集和GC-MS定量分析技术研究了上海市化学试剂和助剂制造行业6家企业有组织废气中的挥发性有机物(VOCs),计算了各企业VOCs排放量和排放系数,并对排放成分谱及臭氧生成潜势(OFP)进行了分析和评价。结果表明,该行业VOCs的基本组分为烷烃、芳香烃、卤代烃和含氧烃(OVOCs),这些组分占总VOCs的99.5%以上;主要特征污染物包括2-甲基戊烷、3-甲基戊烷、正己烷、甲基环戊烷、四氢呋喃、丙酮、乙苯和间/对二甲苯;烷烃、芳香烃和OVOCs是主要的光化学活性组分;四氢呋喃、2-甲基戊烷、3-甲基戊烷、1,2,4-三甲苯、1.2,3-三甲苯等是对OFP贡献较大的因子;源反应性(SR)处于各行业平均水平。研究建议该行业应重点管控C6-C8烷烃、C8-C9芳香烃和OVOCs的排放,并特别关注臭氧生成能力强的VOCs因子,以降低其对环境和人体健康的影响。

关键词：化学试剂和助剂制造行业挥发性有机物排放特征源成分谱臭氧生成潜势

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基于方差时间图法的关键参数选取方法

信息化研究 2012年第1期38卷 21-24页

作者：虞传明王汝传林巧民南京邮电大学计算机学院南京210003 江苏省无线传感网高技术研究重点实验室南京210003

在深入研究方差时间图法(Variance-time plots,VTP)的基础上,针对VTP算法中的3个关键参数:数据块数、采样数据长度和数据更新度参数进行了详细测试研究,分别对三者给出比较恰当合理的具体值,并提出基于上述参数值的分布式拒绝服务(DDoS... 详细信息

在深入研究方差时间图法(Variance-time plots,VTP)的基础上,针对VTP算法中的3个关键参数:数据块数、采样数据长度和数据更新度参数进行了详细测试研究,分别对三者给出比较恰当合理的具体值,并提出基于上述参数值的分布式拒绝服务(DDoS)攻击判决门限条件。

关键词：方差时间图法自相似参数选取 Hurst参数

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基于贝叶斯算法的垃圾邮件过滤技术

南京师范大学学报（工程技术版） 2005年第4期5卷 61-64页

作者：林巧民许建真许棣华王诚南京邮电大学信息网络中心江苏南京210003 南京邮电大学信息工程系江苏南京210003

对基于朴素贝叶斯算法的垃圾邮件过滤技术进行了研究分析和实验验证.介绍了向量空间模型(VSM)方法以及特征向量抽取方法,推导和研究了引入“特征之间互相独立”假设的朴素贝叶斯分类算法.采用K次交叉验证的方法,以收集的一些邮件为语料... 详细信息

对基于朴素贝叶斯算法的垃圾邮件过滤技术进行了研究分析和实验验证.介绍了向量空间模型(VSM)方法以及特征向量抽取方法,推导和研究了引入“特征之间互相独立”假设的朴素贝叶斯分类算法.采用K次交叉验证的方法,以收集的一些邮件为语料,应用朴素贝叶斯分类算法,通过训练集计算得到类别的先验概率和特征项的类条件概率,并以此为基础对测试集中的邮件进行归属判断,以正确率和召回率为指标给出了实验结果.

关键词：垃圾邮件文本分类向量空间模型贝叶斯算法