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2016 10th International Conference on Sensing Technology (ICST)最新文献

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Design and analysis of a new type of pressure sensor based on the high-birefringent photonic crystal fiber 基于高双折射光子晶体光纤的新型压力传感器的设计与分析
Pub Date : 2016-11-01 DOI: 10.1109/ICSENST.2016.7796303
Yuan Yu, Yujiao Shao, Yin Zhang, S. Wei, Xuefeng Li
In this paper, a new type of fiber optic press sensor based on polarization modulation is proposed and analyzed. The sensor is equipped with a high-birefringent photonic crystal fiber (HB-PCF) as sensing unit and used to measure the pressure in gaseous and liquid media. The linear polarized light injects into HB-PCF with 45° angle at the slow axis and the output light is separated into two perpendicular polarized light with 0° and 90°. Then one of them is rotated 90°, which combine with the other to form light interferometer. Pressure load affects the birefringence of HB-PCF, leading to the variety of output light intensity. The analysis result shows that the centripetal pressure increases the effective refractive index of polarization model in both fast and slow axes with a linear relationship of 8.97×10-6 RIU/MPa and 6.48×10-6 RIU/MPa respectively, so that tends to counteract the birefringence of the HB-PCF caused by its asymmetric structure, with a linear relationship of 2.49×10-6 RIU/MPa. Consequently, the pressure vary from 0 to 100 MPa can be inferred by the output light visibility. The proposed sensor has many advantages such as small volume, simple structure, strong environmental, and tolerance, etc. It can be widely used in pressure measurement and structure health monitoring.
本文提出并分析了一种基于偏振调制的新型光纤压敏传感器。该传感器采用高双折射光子晶体光纤(HB-PCF)作为传感单元,用于测量气体和液体介质中的压力。线偏振光在慢轴处以45°角注入HB-PCF,输出光被分离成0°和90°垂直的两个偏振光。然后将其中一个旋转90°,与另一个组合成光干涉仪。压力载荷影响HB-PCF的双折射特性,导致输出光强的变化。分析结果表明,向心压力增大了极化模型在快、慢轴上的有效折射率,分别呈8.97×10-6 RIU/MPa和6.48×10-6 RIU/MPa的线性关系,从而趋于抵消HB-PCF不对称结构引起的双折射,呈2.49×10-6 RIU/MPa的线性关系。因此,从0到100兆帕的压力变化可以推断输出光的可见度。该传感器具有体积小、结构简单、环境适应性强、耐受性好等优点。可广泛应用于压力测量和结构健康监测。
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引用次数: 0
Human daily activity recognition with wearable sensors based on incremental learning 基于增量学习的可穿戴传感器人类日常活动识别
Pub Date : 2016-11-01 DOI: 10.1109/ICSENST.2016.7796224
L. Mo, Zengtao Feng, Jingyi Qian
This paper proposes a human physical activity (PA) recognition method based on incremental learning, which deal with the accuracy loss of traditional recognition system caused by the difference of different individuals. Firstly, the paper introduces the principle of incremental learning, which mainly introduced Learn++ algorithm principle, and describes the differentiation feedback optimization algorithm based on incremental learning in specific details. Then, taking the body sensor network built in the previous work as the data acquisition platform, this article conducts experiments of seven daily activities on five experimental individuals, and verifies the differentiation feedback optimization algorithm of this paper. According to the experiment results, the algorithm described in this paper has an obvious improvement effect on the physical activity recognition performance of the specific individuals.
提出了一种基于增量学习的人体身体活动识别方法,解决了传统识别系统因个体差异导致的准确率损失问题。本文首先介绍了增量学习的原理,主要介绍了Learn++算法原理,并对基于增量学习的微分反馈优化算法进行了详细的描述。然后,本文以前期工作中构建的人体传感器网络作为数据采集平台,在5个实验个体上进行了7个日常活动的实验,验证了本文的微分反馈优化算法。实验结果表明,本文所描述的算法对特定个体的身体活动识别性能有明显的提升效果。
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引用次数: 12
Low-cost eye-tracking glasses with real-time head rotation compensation 带有实时头部旋转补偿的低成本眼球追踪眼镜
Pub Date : 2016-11-01 DOI: 10.1109/ICSENST.2016.7796336
Yanxin Wang, Hong Zeng, Jia Liu
Nowadays capturing the image of eyeball with camera and estimating gaze points using pupil positions is the most common method for eye-tracking devices. Head-mounted eye-tracking equipment has a wide range of application because of its flexibility and high gaze estimation accuracy. But the user's head should keep still using a chin rest or other tools, or will lead to enormous gaze estimation errors. In this paper, a head rotation compensation method is proposed for head-mounted eye-tracking glasses. The whole cost of our system is 38 USD. According to our preliminary result, the mean error of gaze estimation is reduced from 8.0162° to 0.5748°, which shows that our method can compensate head rotation effectively. The data in the task based experiment reveal that our system can be used as an alternative input device to mouse.
利用相机捕捉眼球图像并利用瞳孔位置估计注视点是目前眼球追踪设备最常用的方法。头戴式眼动追踪设备以其灵活性和较高的注视估计精度得到了广泛的应用。但用户的头部应该继续使用下巴托或其他工具,否则将导致巨大的凝视估计误差。提出了一种头戴式眼动追踪眼镜的头部旋转补偿方法。我们整个系统的成本是38美元。初步结果表明,注视估计的平均误差从8.0162°减小到0.5748°,表明该方法可以有效地补偿头部旋转。基于任务的实验数据表明,我们的系统可以作为鼠标的替代输入设备。
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引用次数: 2
Sparse subspace clustering for bearing fault classification 基于稀疏子空间聚类的轴承故障分类
Pub Date : 2016-11-01 DOI: 10.1109/ICSENST.2016.7796327
Chuang Sun, B. Wang, Shaohua Tian, Xuefeng Chen
Bearing is a critical component that effects operational performance of machine. Fault classification to bearing that aims to identify category of bearing fault is helpful to improve reliability and safety of bearing. In this paper, a classification process is presented based on sparse subspace clustering. A sample corresponds to a specific fault state of the bearing is represented by its neighbourhood. Coefficient for data representation is solved by sparse representation. Spectral clustering is performed on the coefficient to classify the samples into its category. Effectiveness of the presented method is validated by test data of bearing with different degrees of fault. Comparison between sparse subspace clustering and other subspace analysis methods shows its effectiveness for classification further.
轴承是影响机器运行性能的关键部件。轴承故障分类旨在识别轴承故障的种类,有助于提高轴承的可靠性和安全性。本文提出了一种基于稀疏子空间聚类的分类方法。对应于轴承的特定故障状态的样本由其邻域表示。数据表示系数采用稀疏表示法求解。对系数进行谱聚类,将样本归入其所属类别。通过不同程度故障轴承的实测数据验证了该方法的有效性。将稀疏子空间聚类方法与其他子空间分析方法进行比较,证明了其进一步分类的有效性。
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引用次数: 1
A new method and verification of vehicles detection based on RSSI variation 基于RSSI变化的车辆检测新方法及验证
Pub Date : 2016-11-01 DOI: 10.1109/ICSENST.2016.7796238
X. Li, Jian Wu
In this paper, we offer a new type of vehicle detection method based on the strength of the signal transmission with adopting CC1101 wireless communication chip, and RSSI (Received Signal Strength Indication) value of the data receiving node is different when there is a car or no car on the parking space. Through a large number of nodes arranged on the parking space, the data receiving node sends data that includes RSSI value and parking space state information to sink node constantly. Next, sink node receives data and uploads to system monitoring terminal. The experiment results show that vehicle detection method is high of accuracy, strong robustness and good reliability.
本文采用CC1101无线通信芯片,提出了一种基于信号传输强度的新型车辆检测方法,车位上有车和无车时,数据接收节点的RSSI (Received signal strength Indication,接收信号强度指示)值是不同的。数据接收节点通过在车位上布置的大量节点,不断向汇聚节点发送包括RSSI值和车位状态信息在内的数据。然后,汇聚节点接收数据并上传到系统监控终端。实验结果表明,该方法精度高,鲁棒性强,可靠性好。
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引用次数: 9
Shore-based terminal of OUC-Raman instrument node for seafloor cabled observatory network 海底电缆观测网OUC-Raman仪器节点岸基终端
Pub Date : 2016-11-01 DOI: 10.1109/ICSENST.2016.7796307
Wangquan Ye, Ying Li, Wen-dong Li, Fujun Qi, R. Zheng
The establishment of the seafloor cabled observatory network will help to learn how the ocean operates. This study reports the design of a shore-based terminal for the OUC-Raman (OUC: Ocean University of China) instrument node in an observatory network. Based on Raman spectrometry, it is used to detect radical ion in situ. The shore-based terminal is divided into three main modules: communication module, data management module and user interface. Its functions include data collecting from underwater system, data processing and data transmitting. The terminal worked well and stably during a 40-days' land-based joint trial and sea trials.
海底电缆观测网的建立将有助于了解海洋是如何运作的。本研究报告了天文台网络中OUC- raman (OUC:中国海洋大学)仪器节点的岸基终端设计。基于拉曼光谱法,用于原位检测自由基离子。岸基终端分为三个主要模块:通信模块、数据管理模块和用户界面。它的功能包括水下系统的数据采集、数据处理和数据传输。在为期40天的陆基联合试验和海上试验中,该终端运行良好且稳定。
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引用次数: 2
Sensor platform for non-invasive ubiquitous current sensing 无创无处不在的电流传感平台
Pub Date : 2016-11-01 DOI: 10.1109/ICSENST.2016.7796322
Malinda Dilhara, J. Samarawickrama, S. Elvitigala
We present a novel non-invasive current measuring platform that estimates the current through a bundled cable. The sensor platform contains eight three axis magnetometer breakout sensors. We develop a regression model to estimate the current flowing in the wire using captured data from the sensor platform. The model in the paper demonstrated accurate results for current estimation of two core wire (7.2 mm diameter) with mean absolute error as low as 0.03 A and root mean square error as low as 0.06 A. This work can be used to develop a plug and play instrument that can non-invasively measure current in a system without disturbing its behavior in operating environment.
我们提出了一种新的非侵入式电流测量平台,该平台可以通过捆绑电缆估计电流。传感器平台包含八个三轴磁强计漏接传感器。我们开发了一个回归模型,利用从传感器平台捕获的数据来估计导线中的电流。本文模型对两芯线(直径7.2 mm)的电流估计结果准确,平均绝对误差低至0.03 A,均方根误差低至0.06 A。这项工作可用于开发一种即插即用仪器,该仪器可以无创地测量系统中的电流,而不会干扰其在操作环境中的行为。
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引用次数: 0
A fast direct acquisition algorithm of GPS L2C CL signal based on time-frequency dual folding technique 基于时频双折叠技术的GPS L2C CL信号快速直接采集算法
Pub Date : 2016-11-01 DOI: 10.1109/ICSENST.2016.7796273
Zhu Xuefen, Yang Dongrui, Chen Xiyuan, Chen Qiang
L2C is the second civilian signal broadcasted on the modernized block of GPS satellites. Compared with L1C/A, the length of L2C code is longer, and includes the civil moderate code (CM code, 20ms) and the civil long code (CL code, 1.5s), which are based on time division multiplexing. For the long CL code, rapid acquisition is difficult due to the large search space. To accelerate the search process and improve detection performance, a fast direct GPS L2C CL signal acquisition algorithm based on time-frequency dual folding technique is introduced in this paper. By folding both the incoming and local signals, the method can be used to significantly accelerate the acquisition speed, and the degraded code correlation properties are insignificant. The effectiveness of the method of fast direct acquisition algorithm based on the time-frequency folding technique is proven through both theoretical performance analysis and real GPS L2C signal experiments.
L2C是在GPS卫星现代化块上广播的第二个民用信号。与L1C/A相比,L2C码的长度更长,包括基于时分复用的民用中码(CM码,20ms)和民用长码(CL码,1.5s)。对于较长的CL代码,由于搜索空间大,难以快速获取。为了加快搜索过程,提高检测性能,本文提出了一种基于时频双折叠技术的GPS L2C CL信号快速直接采集算法。通过对输入信号和本地信号进行折叠,该方法可以显著提高采集速度,且对编码相关特性的影响不明显。通过理论性能分析和实际GPS L2C信号实验,验证了基于时频折叠技术的快速直接采集算法的有效性。
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引用次数: 0
Highly selective ion imprinted polymer based interdigital sensor for nitrite detection 用于亚硝酸盐检测的高选择性离子印迹聚合物数字间传感器
Pub Date : 2016-11-01 DOI: 10.1109/ICSENST.2016.7796221
M. Alahi, Nasrin Afsarimanesh, S. Mukhopadhyay, L. Burkitt, P. Yu
This research proposed the real-time detection of nitrite by employing electrochemical impedance spectroscopy (EIS) technique incorporating an interdigital capacitive sensor. A self-assembled monolayer functionalized the sensing surface with embedded ion-imprinted polymer (IIP) with selectivity for nitrite ions were introduced. Syntheis and characterization of IIP are also explained to validate the polymerization technique. Some initial results using different concentrations of nitrite sample to validate the proposed method are also presented. The promising results highlight the extraordinary potential to develop low-cost, in-situ measurement system to detect nitrite contamination with real-time monitoring.
本研究提出了结合数字间电容式传感器的电化学阻抗光谱(EIS)实时检测亚硝酸盐的方法。介绍了一种用嵌入离子印迹聚合物(IIP)修饰传感表面的自组装单层材料,该材料对亚硝酸盐离子具有选择性。本文还介绍了IIP的合成和表征,以验证聚合技术。用不同浓度的亚硝酸盐样品验证了该方法的初步结果。这一令人鼓舞的结果突出了开发低成本、实时监测亚硝酸盐污染的原位测量系统的巨大潜力。
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引用次数: 7
Memory storage administration of security encryption keys for line topology in maritime wireless sensor networks 海上无线传感器网络线路拓扑安全加密密钥的存储器存储管理
Pub Date : 2016-11-01 DOI: 10.1109/ICSENST.2016.7796268
Walid Elgenaidi, T. Newe, E. O’Connell, D. Toal, G. Dooly, Joseph Coleman
Handling the security in Wireless Sensor Networks (WSNs) requires cryptographic mechanisms to detect faulty and unstable nodes that lead to the inactivity of network during packet travelling. Although, cryptographic security mechanism operations demand a high calculation of computational time and memory resources, while the sensor nodes have low memory and low computation capability. Alternatively, trust management schemes are tools to address some main issues in WSNs including memory and storage space, key generation, and re-keying. In this work, we will present solution of memory resources consumption and key management processing issues for a secure maritime coastal monitoring system. This system is a symmetric security scheme with a dynamic update key based on a trusted node configuration, called a leader node, which works as a trusted third party.
在无线传感器网络(WSNs)中,为了保证网络的安全,需要采用加密机制来检测故障节点和不稳定节点,这些节点会导致网络在数据包传输过程中处于不活跃状态。然而,加密安全机制的运行需要大量的计算时间和内存资源,而传感器节点的内存和计算能力都很低。另外,信任管理方案是解决wsn中一些主要问题的工具,包括内存和存储空间、密钥生成和密钥重设。在这项工作中,我们将提出一个安全的海上海岸监测系统的内存资源消耗和密钥管理处理问题的解决方案。该系统是一种对称的安全方案,具有基于可信节点配置的动态更新密钥,称为领导节点,作为可信第三方。
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引用次数: 9
期刊
2016 10th International Conference on Sensing Technology (ICST)
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