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2015 9th International Conference on Sensing Technology (ICST)最新文献

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Development of helium-microwave-induced plasma-atomic emission spectroscopy system with two-way spectroscopic analysis 双向光谱分析氦-微波等离子体-原子发射光谱系统的研制
Pub Date : 2015-12-01 DOI: 10.1109/ICSENST.2015.7438490
S. Ikezawa, J. Yamamoto, T. Ueda
This paper reports on a helium-microwave-induced plasma-atomic emission spectroscopy (He-MIP-AES) system with two-way spectroscopic analysis that fulfills the criteria prescribed by the Ministry of Environment, Japan, for measuring the chemical components of particulate matter (PM). The He-MIP-AES system is a reconstruction of a commercial particle analyzer system. In current environmental monitoring systems, PMs are typically collected on trapping filters placed across Japan and classified as either suspended particulate matter (SPM) or PM2.5 depending on the size. The collected PMs are subsequently analyzed with automated measurement instruments such as a piezo balance and with methods such as beta ray attenuation and light scattering. While these measurement methods allow the mass concentration of PMs in the air to be obtained at hourly intervals, the chemical composition of individual particles is analyzed with time-intensive laboratory procedures. In contrast, the presented measurement system allows the chemical compositions and particle sizes to be measured simultaneously in real time.
本文报道了一种具有双向光谱分析的氦-微波诱导等离子体原子发射光谱(He-MIP-AES)系统,该系统符合日本环境省规定的用于测量颗粒物(PM)化学成分的标准。He-MIP-AES系统是对商用粒子分析系统的改造。在目前的环境监测系统中,pm通常是通过放置在日本各地的捕集过滤器收集的,并根据大小将其分类为悬浮颗粒物(SPM)或PM2.5。收集到的pm随后用自动测量仪器(如压电天平)和射线衰减和光散射等方法进行分析。虽然这些测量方法可以每小时获得空气中pm的质量浓度,但单个颗粒的化学成分是通过耗时的实验室程序进行分析的。相比之下,所提出的测量系统可以同时实时测量化学成分和颗粒大小。
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引用次数: 1
A triaxial cutting force measurement utilizing an embedded transducer on a spindle rotating tool 利用在主轴旋转工具上的嵌入式传感器的三轴切削力测量
Pub Date : 2015-12-01 DOI: 10.1109/ICSENST.2015.7438409
Muhammad Rizal, J. Ghani, M. Nuawi, C. Haron
This paper presents the development of an embedded force transducer for cutting force measurement in a milling process. A cross beam type transducer is selected as the sensitive element of the designed sensor system. By using strain gauges, this system is capable of measuring the triaxial cutting force in rotating coordinate-based, including the main cutting forces, Fc, thrust force, Ft, and perpendicular cutting force, FcN. This sensor system is equipped with a wireless telemetry system to transfer the force signal to the data acquisition device. The sensor is experimentally investigated and calibrated. Transducer sensitivity, cross-talk and results of the machining signal are presented. As well as the cutting force measurement, this triaxial transducer could be used on milling and drilling operations.
本文介绍了一种用于铣削过程中切削力测量的嵌入式力传感器的研制。设计的传感器系统选用了横梁式传感器作为敏感元件。该系统采用应变片测量旋转坐标系下的三轴切削力,包括主切削力Fc、推力Ft和垂直切削力FcN。该传感器系统配备了无线遥测系统,将力信号传输到数据采集设备。对该传感器进行了实验研究和标定。给出了传感器的灵敏度、串扰和加工信号的结果。除了切削力测量外,该三轴传感器还可用于铣削和钻孔作业。
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引用次数: 1
Performance improvement of NN based RTLS by customization of NN structure - heuristic approach 基于神经网络结构自定义的RTLS性能改进
Pub Date : 2015-12-01 DOI: 10.1109/ICSENST.2015.7438407
Bartosz Jachimczyk, Damian Dziak, W. Kulesza
The purpose of this research is to improve performance of the Hybrid Scene Analysis - Neural Network indoor localization algorithm applied in Real-time Locating System, RTLS. A properly customized structure of Neural Network and training algorithms for specific operating environment will enhance the system's performance in terms of localization accuracy and precision. Due to nonlinearity and model complexity, a heuristic analysis is suitable to evaluate NN performance for different environmental conditions. Efficiency of the proposed customization of a Neural Network is verified by simulations and validated by physical experiments. This research also concerns the influence of size of Neural Network training set. The results prove that, better localization accuracy is with a NN system which is properly customized with respect to a training method, number of neurons and type of transfer function in the hidden layer and also type of transfer function in the output layer.
本研究的目的是提高应用于实时定位系统(RTLS)的混合场景分析-神经网络室内定位算法的性能。针对特定的操作环境,适当地定制神经网络结构和训练算法,可以提高系统在定位精度和精度方面的性能。由于神经网络的非线性和模型的复杂性,启发式分析适合于评价神经网络在不同环境条件下的性能。仿真和物理实验验证了神经网络自定义的有效性。本文还研究了神经网络训练集大小的影响。结果表明,在训练方法、隐层神经元数量和传递函数类型以及输出层传递函数类型等方面进行适当的定制,可以获得更好的定位精度。
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引用次数: 1
Development of a sensing system to detect C-telopeptide of type-I collagen i型胶原c端肽检测系统的研制
Pub Date : 2015-12-01 DOI: 10.1109/ICSENST.2015.7438466
Nasrin Afsarimanesh, A. I. Zia, S. C. Mukhopadhyay, M. Kruger, P. Yu, J. Kosel
This research work describes a non-invasive and label-free immunosensing technique to detect the C-telopeptide of type-I collagen (CTX-1) by Electrochemical Impedance Spectroscopy (EIS). A planar interdigital capacitive sensor is used to evaluate the properties of the material under test. This sensor was fabricated on the basis of thin film micro-electromechanical system (MEMS) semiconductor device fabrication technology. EIS was used in conjunction with the sensor to detect collagen type-I in blood plasma. At the first stage, the Serum CrossLaps® ELISA was used to measure some known samples in order to obtain a standard curve. Streptavidin agarose was successfully immobilized on the sensing area of the sensor. After that the experiments were done with antibody solution and three known samples of CTX-1, zero concentration which was considered as control, 2.669 ng/ml and 0.798 ng/ml concentration. The results are encouraging for further investigation.
本研究介绍了一种无创、无标记的电化学阻抗谱(EIS)检测i型胶原蛋白(CTX-1) c -末端肽的免疫传感技术。采用平面数字间电容式传感器来评价被测材料的性能。该传感器是基于薄膜微机电系统(MEMS)半导体器件制造技术制造的。EIS与传感器一起用于检测血浆中的i型胶原蛋白。在第一阶段,使用Serum CrossLaps®ELISA测定一些已知样品,以获得标准曲线。成功地将链霉亲和素琼脂糖固定在传感器的传感区域上。然后用抗体溶液和三种已知的CTX-1样品,分别以零浓度、2.669 ng/ml和0.798 ng/ml作为对照,进行实验。结果令人鼓舞,值得进一步研究。
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引用次数: 2
FBG based transducers for morphing applications 用于变形应用的基于FBG的传感器
Pub Date : 2015-12-01 DOI: 10.1109/ICSENST.2015.7438471
S. Ameduri, A. Concilio, G. Sala, M. Ciminello, A. Brindisi, P. Bettini
The measurement of large deformations represents a challenging issue for many engineering applications. To name a few, morphing and deployable aerospace structures, due to the intrinsic large deformations, require dedicated sensing systems able to capture the current geometry (shape reconstruction) and to detect the stress level (structural health monitoring). Conventional sensors, on one hand, due to the material structural limitations, could not assure an adequate measurement, and, on the other, may interfere with other instrumentation. The optical fiber technologies present advantages in terms of channels number and wiring needs; furthermore the specific information carrier, that is the light, prevents from any interference with other onboard systems. Finally, limitations of measurement due to the glass intrinsic fragility may be overcome integrating the sensors with a dedicated strain modulation supporting structure. The paper at hand just focuses on Fiber Brag Grating (FBG) - based sensors, conceived to modulate large strains. For each transducer, the design phase is illustrated: moving from the specifications, the design parameters are then identified and their optimal configuration is assessed. Preliminary demonstrators are manufactured and tested, allowing a comparison with the numerical outcomes. All proposed concepts exhibited a wide measurement range, a high level of versatility (due to the possibility of tuning the same sensors for different measurement conditions). The work ends with a critical discussion on the enhancements further achievable and on the activities yet necessary to increase the readiness level.
对于许多工程应用来说,大变形的测量是一个具有挑战性的问题。仅举几例,变形和可展开的航空航天结构,由于其固有的大变形,需要能够捕获当前几何形状(形状重建)和检测应力水平(结构健康监测)的专用传感系统。传统的传感器,一方面,由于材料结构的限制,不能保证充分的测量,另一方面,可能会干扰其他仪器。光纤技术在通道数量和布线需求方面具有优势;此外,特定的信息载体,即光,防止与其他机载系统的任何干扰。最后,由于玻璃固有脆弱性的测量限制可以克服集成传感器与专用的应变调制支撑结构。本文只关注基于光纤光栅(FBG)的传感器,设想用于调制大应变。对于每个换能器,说明了设计阶段:从规格出发,然后确定设计参数并评估其最佳配置。初步示范制造和测试,允许与数值结果进行比较。所有提出的概念都具有广泛的测量范围和高水平的通用性(由于可以针对不同的测量条件调整相同的传感器)。工作以对进一步可实现的增强和提高准备水平所需的活动的关键讨论结束。
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引用次数: 0
A detection scheme for reactions of optical fiber sensors with the Internet standard protocol 基于互联网标准协议的光纤传感器反应检测方案
Pub Date : 2015-12-01 DOI: 10.1109/ICSENST.2015.7438472
Koki Fuchigami, N. Shinomiya
This paper proposes a detection scheme for reactions of optical fiber sensors and shows experiments and results to identify sensor conditions with Simple Network Management Protocol (SNMP) as the Internet standard protocol. Optical Sensory Nerve network (OSN) with optical fiber sensors has been developed in order to alleviate issues on wireless sensor networks about battery lifetime and data communication. Moreover, a method to gather sensed information with SNMP and a commercially available device has been devised; however, this method holds issues on limited performance. Thus, this paper demonstrates the detection scheme using original SNMP agent software and experiments utilizing two types of sensors (binary switch sensors & mat sensors). The SNMP agent software allows to increase the number of sensors which can be detected and installed in OSN.
本文提出了一种光纤传感器反应检测方案,并给出了以简单网络管理协议(Simple Network Management Protocol, SNMP)作为互联网标准协议识别传感器状态的实验结果。基于光纤传感器的光感觉神经网络(OSN)是为了缓解无线传感器网络在电池寿命和数据通信方面的问题而发展起来的。此外,还设计了一种利用SNMP和市售设备收集感测信息的方法;然而,这种方法在有限的性能上存在问题。因此,本文演示了使用原始SNMP代理软件的检测方案,并使用两种类型的传感器(二进制开关传感器和席传感器)进行了实验。SNMP agent软件可以增加OSN中可检测和安装的传感器数量。
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引用次数: 1
Prototyping a voice-controlled smart home hub wirelessly integrated with a wearable device 一个与可穿戴设备无线集成的语音控制智能家居集线器原型
Pub Date : 2015-12-01 DOI: 10.1109/ICSENST.2015.7438367
Adriana Wilde, Olivia Ojuroye, R. Torah
The collection of uninterrupted data describing real user behaviour remains an open challenge in Activities of Daily Living (ADL) research. This paper proposes a solution to disrupted ADL experimental data collection by developing a prototype system of a flexible, voice-controlled wearable device with a wireless smart home hub. Development included surface mounted components, inkjet printing, a Raspberry Pi, voice-recognition software, LilyPad Arduino, and XBee modules. This proof-of-concept system has shown the feasibility of building such a system, and the prototyping process helped highlight areas of further improvements needed in future implementations.
收集描述真实用户行为的不间断数据仍然是日常生活活动(ADL)研究中的一个公开挑战。本文通过开发具有无线智能家居集线器的柔性语音控制可穿戴设备原型系统,提出了一种解决ADL实验数据收集中断的方案。开发包括表面安装组件、喷墨打印、树莓派、语音识别软件、LilyPad Arduino和XBee模块。这个概念验证系统已经显示了构建这样一个系统的可行性,原型过程帮助强调了未来实现中需要进一步改进的领域。
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引用次数: 6
Fabric antenna with body temperature sensing for BAN applications over 5G wireless systems 具有体温传感的织物天线,用于5G无线系统上的BAN应用
Pub Date : 2015-12-01 DOI: 10.1109/ICSENST.2015.7438467
Xiaoyou Lin, Boon-Chong Seet, Frances Joseph
This paper proposes a fabric-based antenna with body temperature sensing function for communication and sensing by body area network (BAN) applications. The antenna is designed to operate at millimeter-wave (mm-wave) band of 38 GHz, which is a candidate frequency band for future 5th generation (5G) wireless systems. The antenna's performance is studied in both free space and on-body environments. Due to its relatively high quality (Q) factor, the antenna's resonant frequency is sensitive to even small variations in the substrate's dielectric constant induced by the narrow range of temperature changes of the human body.
本文提出了一种具有体温传感功能的织物天线,用于体域网络(BAN)通信和传感。该天线设计用于38ghz的毫米波(mm-wave)频段,这是未来第五代(5G)无线系统的候选频段。研究了该天线在自由空间和在身环境下的性能。由于其相对较高的质量(Q)因子,天线的谐振频率对由人体温度变化的窄范围引起的衬底介电常数即使很小的变化也很敏感。
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引用次数: 21
An intelligent and modular sensing system for Augmented Reality application 用于增强现实应用的智能模块化传感系统
Pub Date : 2015-12-01 DOI: 10.1109/ICSENST.2015.7438515
Md. Fasiul Alam, S. Katsikas, S. Hadjiefthymiades
The scientific objective of this paper is to describe an innovative architecture of modular form in sensing and supervision system. In our study, a maintenance work at ATLAS detector in Large Hadron Collider at European Organization for Nuclear Research (CERN), Geneva, Switzerland has been considered. The research challenges lie in the development of real-time data-transmission, instantaneous analysis of data coming from different inputs, local intelligences in low power embedded system, interaction with augmented reality in multiple on-site users, complex interfaces, and portability. The proposed architecture is allocated with modular form. The prototype of this modular device is named a PSS (Personnel Supervision System) module. The hardware of the modular system includes with many sensor modules, cameras, IMU (Inertial Measurement Unit) sensors, processors, Wi-Fi module, laser, LED light plus its associated software. The mobile PSS module is responsible for local data processing for various sensors, image processing, 3D pose estimation, audio data acquisition, visualization and wireless interfaced devices. The advantage of modular concept is that it can work independently or together. The Head Mounted Display (HMD) includes HW and SW to communicate the augmented reality content to the user and to display visual information on a worker's field of view (FOV). The module serves as a supervision post, providing sensor data, video and audio stream to the supervisor. It stores data and provide the means for the supervisor to easily communicate and instruct the worker. It decides, selects and serves the AR (Augmented) content on multiple PTUs, automatically or with minor supervisor intervention. The development of this system to be compatible with a wearable use in a highly challenging environment presents an excellent opportunity to integrate today's leading technical knowledge in a product which can become accessible to industry and general public. This study is a part of the EDUSAFE project, a Marie Curie ITN project focusing on research into the use of Virtual and Augmented Reality (VR/AR) during planned and emergency maintenance in extreme environments.
本文的科学目标是描述一种模块化形式的传感与监控系统的创新架构。本文对位于瑞士日内瓦的欧洲核子研究组织(CERN)大型强子对撞机ATLAS探测器的维修工作进行了研究。研究挑战在于开发实时数据传输、不同输入数据的瞬时分析、低功耗嵌入式系统的局部智能、多现场用户与增强现实的交互、复杂界面和可移植性。提出的体系结构以模块化形式分配。这种模块化装置的原型被命名为PSS(人事监督系统)模块。模块化系统的硬件包括许多传感器模块、摄像头、IMU(惯性测量单元)传感器、处理器、Wi-Fi模块、激光、LED灯及其相关软件。移动PSS模块负责各种传感器的本地数据处理、图像处理、3D姿态估计、音频数据采集、可视化和无线接口设备。模块化概念的优点是它可以独立工作,也可以一起工作。头戴式显示器(HMD)包括硬件和软件,用于向用户传达增强现实内容,并在工作人员的视野(FOV)上显示视觉信息。该模块作为监控站,向监控员提供传感器数据、视频和音频流。它可以存储数据,并为主管提供方便的沟通和指导工人的手段。它决定、选择并在多个ptu上提供AR(增强)内容,自动或少量主管干预。该系统的开发与高度具有挑战性的环境中的可穿戴设备兼容,为将当今领先的技术知识集成到一种产品中提供了一个绝佳的机会,这种产品可以为工业和公众所使用。这项研究是EDUSAFE项目的一部分,EDUSAFE是Marie Curie ITN的一个项目,重点研究在极端环境下的计划和紧急维护中使用虚拟和增强现实(VR/AR)。
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引用次数: 1
Organization and management of Semantic Sensor information using SSN ontology: An energy meter use case 使用SSN本体的语义传感器信息的组织和管理:一个电能表用例
Pub Date : 2015-12-01 DOI: 10.1109/ICSENST.2015.7438444
S. Dey, D. Jaiswal, R. Dasgupta, A. Mukherjee
In cyber-physical systems (CPS), sensors play a major role in observing and measuring physical world parameters. Capturing sensor semantics aids in search and discovery of the most suitable sensor for detecting specific physical events. This paper describes organization of general sensor information and its management and particularly elaborate the case for energy sensor using Semantic Sensor Network (SSN) ontology. Use of such sensor knowledge representation satisfies spatio-temporal and thematic queries, and at the same time, provides semantic enabled value added services for various smart and green energy aware Internet-of-things (IoT) applications.
在网络物理系统(CPS)中,传感器在观测和测量物理世界参数方面发挥着重要作用。捕获传感器语义有助于搜索和发现最适合检测特定物理事件的传感器。本文介绍了一般传感器信息的组织和管理,并详细阐述了利用语义传感器网络(SSN)本体实现能源传感器的实例。使用这种传感器知识表示满足时空和主题查询,同时为各种智能和绿色能源感知的物联网(IoT)应用提供语义支持的增值服务。
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引用次数: 16
期刊
2015 9th International Conference on Sensing Technology (ICST)
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