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https://www.readbyqxmd.com/read/27918493/boundary-layer-detection-at-cryogenic-conditions-using-temperature-sensitive-paint-coupled-with-a-carbon-nanotube-heating-layer
#1
Kyle Z Goodman, William E Lipford, Anthony Neal Watkins
Detection of flow transition on aircraft surfaces and models can be vital to the development of future vehicles and computational methods for evaluating vehicle concepts. In testing at ambient conditions, IR thermography is ideal for this measurement. However, for higher Reynolds number testing, cryogenic facilities are often used, in which IR thermography is difficult to employ. In these facilities, temperature sensitive paint is an alternative with a temperature step introduced to enhance the natural temperature change from transition...
December 3, 2016: Sensors
https://www.readbyqxmd.com/read/27918487/integrating-deoxyribozymes-into-colorimetric-sensing-platforms
#2
REVIEW
Dingran Chang, Sandy Zakaria, Mimi Deng, Nicholas Allen, Kha Tram, Yingfu Li
Biosensors are analytical devices that have found a variety of applications in medical diagnostics, food quality control, environmental monitoring and biodefense. In recent years, functional nucleic acids, such as aptamers and nucleic acid enzymes, have shown great potential in biosensor development due to their excellent ability in target recognition and catalysis. Deoxyribozymes (or DNAzymes) are single-stranded DNA molecules with catalytic activity and can be isolated to recognize a wide range of analytes through the process of in vitro selection...
December 3, 2016: Sensors
https://www.readbyqxmd.com/read/27918484/a-novel-wireless-wearable-volatile-organic-compound-voc-monitoring-device-with-disposable-sensors
#3
Yue Deng, Cheng Chen, Xiaojun Xian, Francis Tsow, Gaurav Verma, Rob McConnell, Scott Fruin, Nongjian Tao, Erica S Forzani
A novel portable wireless volatile organic compound (VOC) monitoring device with disposable sensors is presented. The device is miniaturized, light, easy-to-use, and cost-effective. Different field tests have been carried out to identify the operational, analytical, and functional performance of the device and its sensors. The device was compared to a commercial photo-ionization detector, gas chromatography-mass spectrometry, and carbon monoxide detector. In addition, environmental operational conditions, such as barometric change, temperature change and wind conditions were also tested to evaluate the device performance...
December 3, 2016: Sensors
https://www.readbyqxmd.com/read/27918483/a-fault-tolerance-mechanism-for-on-road-sensor-networks
#4
Lei Feng, Shaoyong Guo, Jialu Sun, Peng Yu, Wenjing Li
On-Road Sensor Networks (ORSNs) play an important role in capturing traffic flow data for predicting short-term traffic patterns, driving assistance and self-driving vehicles. However, this kind of network is prone to large-scale communication failure if a few sensors physically fail. In this paper, to ensure that the network works normally, an effective fault-tolerance mechanism for ORSNs which mainly consists of backup on-road sensor deployment, redundant cluster head deployment and an adaptive failure detection and recovery method is proposed...
December 3, 2016: Sensors
https://www.readbyqxmd.com/read/27918482/fuzzy-computing-model-of-activity-recognition-on-wsn-movement-data-for-ubiquitous-healthcare-measurement
#5
Shu-Yin Chiang, Yao-Chiang Kan, Yun-Shan Chen, Ying-Ching Tu, Hsueh-Chun Lin
Ubiquitous health care (UHC) is beneficial for patients to ensure they complete therapeutic exercises by self-management at home. We designed a fuzzy computing model that enables recognizing assigned movements in UHC with privacy. The movements are measured by the self-developed body motion sensor, which combines both accelerometer and gyroscope chips to make an inertial sensing node compliant with a wireless sensor network (WSN). The fuzzy logic process was studied to calculate the sensor signals that would entail necessary features of static postures and dynamic motions...
December 3, 2016: Sensors
https://www.readbyqxmd.com/read/27918454/coordinate-based-clustering-method-for-indoor-fingerprinting-localization-in-dense-cluttered-environments
#6
Wen Liu, Xiao Fu, Zhongliang Deng
Indoor positioning technologies has boomed recently because of the growing commercial interest in indoor location-based service (ILBS). Due to the absence of satellite signal in Global Navigation Satellite System (GNSS), various technologies have been proposed for indoor applications. Among them, Wi-Fi fingerprinting has been attracting much interest from researchers because of its pervasive deployment, flexibility and robustness to dense cluttered indoor environments. One challenge, however, is the deployment of Access Points (AP), which would bring a significant influence on the system positioning accuracy...
December 2, 2016: Sensors
https://www.readbyqxmd.com/read/27918438/minimum-interference-channel-assignment-algorithm-for-multicast-in-a-wireless-mesh-network
#7
Sangil Choi, Jong Hyuk Park
Wireless mesh networks (WMNs) have been considered as one of the key technologies for the configuration of wireless machines since they emerged. In a WMN, wireless routers provide multi-hop wireless connectivity between hosts in the network and also allow them to access the Internet via gateway devices. Wireless routers are typically equipped with multiple radios operating on different channels to increase network throughput. Multicast is a form of communication that delivers data from a source to a set of destinations simultaneously...
December 2, 2016: Sensors
https://www.readbyqxmd.com/read/27918437/managing-the-quality-of-experience-in-the-multimedia-internet-of-things-a-layered-based-approach
#8
Alessandro Floris, Luigi Atzori
This paper addresses the issue of evaluating the Quality of Experience (QoE) for Internet of Things (IoT) applications, with particular attention to the case where multimedia content is involved. A layered IoT architecture is firstly analyzed to understand which QoE influence factors have to be considered in relevant application scenarios. We then introduce the concept of Multimedia IoT (MIoT) and define a layered QoE model aimed at evaluating and combining the contributions of each influence factor to estimate the overall QoE in MIoT applications...
December 2, 2016: Sensors
https://www.readbyqxmd.com/read/27918424/optimized-energy-harvesting-cluster-head-selection-and-channel-allocation-for-iots-in-smart-cities
#9
Saleem Aslam, Najam Ul Hasan, Ju Wook Jang, Kyung-Geun Lee
This paper highlights three critical aspects of the internet of things (IoTs), namely (1) energy efficiency, (2) energy balancing and (3) quality of service (QoS) and presents three novel schemes for addressing these aspects. For energy efficiency, a novel radio frequency (RF) energy-harvesting scheme is presented in which each IoT device is associated with the best possible RF source in order to maximize the overall energy that the IoT devices harvest. For energy balancing, the IoT devices in close proximity are clustered together and then an IoT device with the highest residual energy is selected as a cluster head (CH) on a rotational basis...
December 2, 2016: Sensors
https://www.readbyqxmd.com/read/27918423/potentiometric-aptasensing-of-vibrio-alginolyticus-based-on-dna-nanostructure-modified-magnetic-beads
#10
Guangtao Zhao, Jiawang Ding, Han Yu, Tanji Yin, Wei Qin
A potentiometric aptasensing assay that couples the DNA nanostructure-modified magnetic beads with a solid-contact polycation-sensitive membrane electrode for the detection of Vibrio alginolyticus is herein described. The DNA nanostructure-modified magnetic beads are used for amplification of the potential response and elimination of the interfering effect from a complex sample matrix. The solid-contact polycation-sensitive membrane electrode using protamine as an indicator is employed to chronopotentiometrically detect the change in the charge or DNA concentration on the magnetic beads, which is induced by the interaction between Vibrio alginolyticus and the aptamer on the DNA nanostructures...
December 2, 2016: Sensors
https://www.readbyqxmd.com/read/27918422/a-novel-method-for-vertical-acceleration-noise-suppression-of-a-thrust-vectored-vtol-uav
#11
Huanyu Li, Linfeng Wu, Yingjie Li, Chunwen Li, Hangyu Li
Acceleration is of great importance in motion control for unmanned aerial vehicles (UAVs), especially during the takeoff and landing stages. However, the measured acceleration is inevitably polluted by severe noise. Therefore, a proper noise suppression procedure is required. This paper presents a novel method to reduce the noise in the measured vertical acceleration for a thrust-vectored tail-sitter vertical takeoff and landing (VTOL) UAV. In the new procedure, a Kalman filter is first applied to estimate the UAV mass by using the information in the vertical thrust and measured acceleration...
December 2, 2016: Sensors
https://www.readbyqxmd.com/read/27918416/a-touch-sensing-technique-using-the-effects-of-extremely-low-frequency-fields-on-the-human-body
#12
Hatem Elfekey, Hany Ayad Bastawrous, Shogo Okamoto
Touch sensing is a fundamental approach in human-to-machine interfaces, and is currently under widespread use. Many current applications use active touch sensing technologies. Passive touch sensing technologies are, however, more adequate to implement low power or energy harvesting touch sensing interfaces. This paper presents a passive touch sensing technique based on the fact that the human body is affected by the surrounding extremely low frequency (ELF) electromagnetic fields, such as those of AC power lines...
December 2, 2016: Sensors
https://www.readbyqxmd.com/read/27918415/on-the-use-of-a-feedback-tracking-architecture-for-satellite-navigation-spoofing-detection
#13
Esteban Garbin Manfredini, Fabio Dovis
In this paper, the Extended Coupled Amplitude Delay Lock Loop (ECADLL) architecture, previously introduced as a solution able to deal with a multipath environment, is revisited and improved to tailor it to spoofing detection purposes. Exploiting a properly-defined decision algorithm, the architecture is able to effectively detect a spoofer attack, as well as distinguish it from other kinds of interference events. The new algorithm is used to classify them according to their characteristics. We also introduce the use of a ratio metric detector in order to reduce the detection latency and the computational load of the architecture...
December 2, 2016: Sensors
https://www.readbyqxmd.com/read/27918414/wearable-sensor-based-human-activity-recognition-method-with-multi-features-extracted-from-hilbert-huang-transform
#14
Huile Xu, Jinyi Liu, Haibo Hu, Yi Zhang
Wearable sensors-based human activity recognition introduces many useful applications and services in health care, rehabilitation training, elderly monitoring and many other areas of human interaction. Existing works in this field mainly focus on recognizing activities by using traditional features extracted from Fourier transform (FT) or wavelet transform (WT). However, these signal processing approaches are suitable for a linear signal but not for a nonlinear signal. In this paper, we investigate the characteristics of the Hilbert-Huang transform (HHT) for dealing with activity data with properties such as nonlinearity and non-stationarity...
December 2, 2016: Sensors
https://www.readbyqxmd.com/read/27918413/a-brain-machine-interface-based-on-erd-ers-for-an-upper-limb-exoskeleton-control
#15
Zhichuan Tang, Shouqian Sun, Sanyuan Zhang, Yumiao Chen, Chao Li, Shi Chen
To recognize the user's motion intention, brain-machine interfaces (BMI) usually decode movements from cortical activity to control exoskeletons and neuroprostheses for daily activities. The aim of this paper is to investigate whether self-induced variations of the electroencephalogram (EEG) can be useful as control signals for an upper-limb exoskeleton developed by us. A BMI based on event-related desynchronization/synchronization (ERD/ERS) is proposed. In the decoder-training phase, we investigate the offline classification performance of left versus right hand and left hand versus both feet by using motor execution (ME) or motor imagery (MI)...
December 2, 2016: Sensors
https://www.readbyqxmd.com/read/27916963/neuron-stimulation-device-integrated-with-silicon-nanowire-based-photodetection-circuit-on-a-flexible-substrate
#16
Suk Won Jung, Jong Yoon Shin, Kilwha Pi, Yong Sook Goo, Dong-Il Dan Cho
This paper proposes a neural stimulation device integrated with a silicon nanowire (SiNW)-based photodetection circuit for the activation of neurons with light. The proposed device is comprised of a voltage divider and a current driver in which SiNWs are used as photodetector and field-effect transistors; it has the functions of detecting light, generating a stimulation signal in proportion to the light intensity, and transmitting the signal to a micro electrode. To show the applicability of the proposed neural stimulation device as a high-resolution retinal prosthesis system, a high-density neural stimulation device with a unit cell size of 110 × 110 μ m and a resolution of 32 × 32 was fabricated on a flexible film with a thickness of approximately 50 μm...
December 1, 2016: Sensors
https://www.readbyqxmd.com/read/27916962/lightweight-sensor-authentication-scheme-for-energy-efficiency-in-ubiquitous-computing-environments
#17
Jaeseung Lee, Yunsick Sung, Jong Hyuk Park
The Internet of Things (IoT) is the intelligent technologies and services that mutually communicate information between humans and devices or between Internet-based devices. In IoT environments, various device information is collected from the user for intelligent technologies and services that control the devices. Recently, wireless sensor networks based on IoT environments are being used in sectors as diverse as medicine, the military, and commerce. Specifically, sensor techniques that collect relevant area data via mini-sensors after distributing smart dust in inaccessible areas like forests or military zones have been embraced as the future of information technology...
December 1, 2016: Sensors
https://www.readbyqxmd.com/read/27916961/recent-progress-in-electrochemical-biosensors-for-glycoproteins
#18
REVIEW
Uichi Akiba, Jun-Ichi Anzai
This review provides an overview of recent progress in the development of electrochemical biosensors for glycoproteins. Electrochemical glycoprotein sensors are constructed by combining metal and carbon electrodes with glycoprotein-selective binding elements including antibodies, lectin, phenylboronic acid and molecularly imprinted polymers. A recent trend in the preparation of glycoprotein sensors is the successful use of nanomaterials such as graphene, carbon nanotube, and metal nanoparticles. These nanomaterials are extremely useful for improving the sensitivity of glycoprotein sensors...
December 1, 2016: Sensors
https://www.readbyqxmd.com/read/27916949/comparing-%C3%A2-tmax-determination-approaches-for-granier-based-sapflow-estimations
#19
Inken Rabbel, Bernd Diekkrüger, Holm Voigt, Burkhard Neuwirth
Granier-type thermal dissipation probes are common instruments for quantifying tree water use in forest hydrological studies. Estimating sapflow using Granier-type sapflow sensors requires determining the maximum temperature gradient (∆Tmax) between the heated probe and the reference probe below. ∆Tmax represents a state of zero sap flux, which was originally assumed to occur each night leading to a ∆Tmax determination on a daily basis. However, researchers have proven that, under certain conditions, sapflow may continue throughout the night...
December 1, 2016: Sensors
https://www.readbyqxmd.com/read/27916948/a-robust-and-device-free-system-for-the-recognition-and-classification-of-elderly-activities
#20
Fangmin Li, Mohammed Abdulaziz Aide Al-Qaness, Yong Zhang, Bihai Zhao, Xidao Luan
Human activity recognition, tracking and classification is an essential trend in assisted living systems that can help support elderly people with their daily activities. Traditional activity recognition approaches depend on vision-based or sensor-based techniques. Nowadays, a novel promising technique has obtained more attention, namely device-free human activity recognition that neither requires the target object to wear or carry a device nor install cameras in a perceived area. The device-free technique for activity recognition uses only the signals of common wireless local area network (WLAN) devices available everywhere...
December 1, 2016: Sensors
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