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[IEEE 2018 IEEE 7th Global Conference on Consumer Electronics (GCCE) - Nara, Japan (2018.10.9-2018.10.12)] 2018 IEEE 7th Global Conference on Consumer Electronics (GCCE) - Design of Compact and Vibration Resistant Receiver for Visible Light Communication Using MEMS mirror
摘要： We propose a compact and vibration-resistant receiver for visible light communication (VLC) between vehicles, where the vibration of the vehicle becomes a barrier for reliable communication. To address this problem, we designed a VLC receiver with a micro mirror, an inertial measurement unit (IMU), and an image sensor. A fast-blinking light is scanned by micro mirror and captured by image sensor efficiently, and the micro mirror controlled by IMU cancels the effect of motion of the vehicle. The performance of the proposed receiver is evaluated in experiments. The obtained results suggest that the proposed receiver is suitable for vibration environment.
关键词： Image sensor,Visible light communication,MEMS scanner mirror
更新于2025-09-04 15:30:14
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Planar capacitive type humidity sensor fabricated using PTB7-Th by facile solution processing approach
摘要： A capacitive humidity sensor using coplanar electrodes coated with poly[4,8-bis(5-(2-ethylhexyl)thiophen-2-yl)benzo[1,2-b;4,5-b′]dithiophene-2,6-diyl-alt-(4-(2-ethylhexyl)-3-fluorothieno[3,4-b]thiophene-)-2-carboxylate-2-6-diyl](PTB7-Th) thin film (Al/PTB7-Th/Al) has been fabricated and investigated. In the present work, we show that increased sensitivity is obtained by rough and non-uniform surface morphology of the polymer thin film which comprises distinct peaks and valleys. The sensor shows good sensing behavior with enhanced sensitivity, better linearity and larger bandwidth. The device showed sensitivity over an appreciable range of relative humidity levels (between 20 and 95% RH). Typical adsorption and desorption response times were measured to be 20 s each.
关键词： Sensitivity,Bandwidth,Linearity,PTB7-Th,Solution processing,Capacitive humidity sensor
更新于2025-09-04 15:30:14
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Model of GaSb-InAs p-i-n Gate All Around (GAA) BioTunnel FET (BTFET)
摘要： The paper investigates the role of hetero-Junction (HJ) p-i-n Gate All Around GAA Tunnel FET architecture for biosensing applications. The device offers better sensitivity and has been modeled in terms of various parameters such as surface potential, threshold voltage and drain current. Analytical modeling scheme relates to the exact resultant solution of two-dimensional Poisson equation. The shift in the threshold voltage has been considered as the sensing parameter to detect the sensitivity when the biomolecules are immobilized in the cavity region.
关键词： Gate all around tunnel FET (GAA-TFET),Model,Bio-Sensor,Hetero Junction (HJ),Dielectric Modulation
更新于2025-09-04 15:30:14
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Optical temperature sensor based on Sm3+ emissions in a fluorotellurite glass
摘要： The temperature dependence of the visible luminescence of a fluorotellurite glass doped with 2.5 mol% of Sm3+ ions was studied in order to use it as a high temperature sensing probe. For this purpose, the emission intensities of the levels from 4G5/2 to 6HJ (J = 5/2, 7/2, 9/2, 11/2) transitions were measured in a temperature range from 300 up to 650 K. The changes in the emission profiles were calibrated by means of the fluorescence intensity ratio technique. The maximum temperature value obtained for the thermal sensibility was 640 K which is in the range of other matrix glasses. The calibration curve was done by fitting the intensity ratio between the different peak emissions. Finally, a schematic design for the Sm3+ optical temperature sensor is presented and the calculations of the sensitivity have been obtained. In addition, the fluorotellurite glass has been structural characterized by SEM-EDX, Raman Spectroscopy and XRD in order to infer the local environment of Sm3+ ions. Furthermore, the Judd-Ofelt parameters have been calculated from the absorption spectra and derived branching ratios and transition probabilities have been computed as well.
关键词： Material characterization,Sm3+,Thermal sensitivity,Fiber optical temperature sensor,Tellurite glass
更新于2025-09-04 15:30:14
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A Highly Stable Dual Functional Zinc Phosphite Carboxylate as Luminescent Sensor of Fe <sup>3+</sup> and Cr <sub/>2</sub> O <sub/>7</sub><sup>2–</sup>
摘要： One new organic?inorganic hybrid zinc phosphite carboxylate, namely, [H2N(CH3)2]2[Zn2L(HPO3)2] (1), where H2L= 2′,3′,5′,6′-tetramethyl-[1,1′:4′,1″-terphenyl]-4,4″-dicarboxylic acid, was synthesized and thoroughly characterized. It has a three-dimensional anionic framework structure with protonated dimethylamine as counter cations accommodated in the channels. It shows good thermal stability and remarkable aqueous stability in the pH range of 3?11 and can behave as a chemical sensor of Fe3+ and Cr2O7 2?. The sensing mechanism is also discussed.
关键词： zinc phosphite carboxylate,Cr2O7 2?,luminescent sensor,Fe3+,MOF
更新于2025-09-04 15:30:14
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Measurement of In-fiber Refractive Index Change Using a Mach-Zehnder Interferometer
摘要： We report, for the first time, the use of a fiber optic Mach-Zehnder interferometer to measure core refractive index changes written by an ultrafast laser irradiation. The core-offset interferometer was constructed by splicing a slightly misaligned stub of standard single mode fiber between lead-in and lead-out optical fibers. When the core refractive index of an in-fiber interferometer is altered, it changes the phase of the core light. Since the phase of light propagating in the cladding (reference arm) remains unchanged, the transmission fringe pattern of the interferometer observes a spectral shift. The spectral shift was used to quantify the effective core refractive index change in a standard single mode fiber. Measurement of effective refractive index changes as high as 0.01356 and as low as 0.000475 are reported in this work.
关键词： effective refractive index change,fiber-optic sensor,ultrafast laser,Mach-Zehnder interferometer,in-fiber refractive index measurement
更新于2025-09-04 15:30:14
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Accurate and Scalable Image Clustering Based On Sparse Representation of Camera Fingerprint
摘要： Clustering images according to their acquisition devices is a well-known problem in multimedia forensics, which is typically faced by means of camera Sensor Pattern Noise (SPN). Such an issue is challenging since SPN is a noise-like signal, hard to be estimated and easy to be attenuated or destroyed by many factors. Moreover, the high dimensionality of SPN hinders large-scale applications. Existing approaches are typically based on the correlation among SPNs in the pixel domain, which might not be able to capture intrinsic data structure in union of vector subspaces. In this paper, we propose an accurate clustering framework, which exploits linear dependencies among SPNs in their intrinsic vector subspaces. Such dependencies are encoded under sparse representations which are obtained by solving a LASSO problem with non-negativity constraint. The proposed framework is highly accurate in number of clusters estimation and image association. Moreover, our framework is scalable to the number of images and robust against double JPEG compression as well as the presence of outliers, owning big potential for real-world applications. Experimental results on Dresden and Vision database show that our proposed framework can adapt well to both medium-scale and large-scale contexts, and outperforms state-of-the-art methods.
关键词： sparse subspace clustering,sensor pattern noise,divide-and-conquer,Image clustering
更新于2025-09-04 15:30:14
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[IEEE 2018 25th IEEE International Conference on Image Processing (ICIP) - Athens, Greece (2018.10.7-2018.10.10)] 2018 25th IEEE International Conference on Image Processing (ICIP) - Improving Time-of-Flight Sensor for Specular Surfaces with Shape from Polarization
摘要： Time-of-Flight (ToF) sensors can obtain depth values for diffuse objects. However, the essential problem is that these sensors cannot receive active light from specular surfaces due to specular reflections. In this paper, we propose a new depth reconstruction framework for specular objects that combines ToF cues and Shape from Polarization (SfP). To overcome the ill-posedness of SfP with a single view, we integrate superpixel segmentation with planarity constraints for every superpixel. Experimental results demonstrate the effectiveness of the depth reconstruction algorithm for both controlled environment data and real vehicle data in a parking area.
关键词： Shape from Polarization,specular surface,Time-of-Flight sensor,single view reconstruction,superpixel segmentation
更新于2025-09-04 15:30:14
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Interpixel Interference Mitigation in Visible Light Communication Using Image Sensor
摘要： To improve the data rate in a camera-based visible light communication system, multiple LEDs in an LED array are used to transmit multiple bits in one frame. The problem is that LEDs are always captured in the image with some degree of blooming effect. This effect increases the intensity of pixels surrounding the origin LEDs in the image. When multiple LEDs are used, the blooming effect from all LEDs causes the interpixel interference (IPI) problem that greatly degrades the quality of the received signal. This paper analyzes the blooming effect and finds that the IPI problem increases when the number of "ON" LEDs in the array increases. Through the analysis, this paper proposes a differential coding to minimize the number of "ON" LEDs in every transmitted frame and thus minimize the IPI effect. The proposed scheme is then verified through simulations. The results show that a lower bit error rate, which indicates a better signal quality, can be achieved by applying the proposed scheme.
关键词： image sensor,VLC,differential coding,LED,interference
更新于2025-09-04 15:30:14
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[IEEE 2018 IEEE Fourth International Conference on Multimedia Big Data (BigMM) - Xi'an (2018.9.13-2018.9.16)] 2018 IEEE Fourth International Conference on Multimedia Big Data (BigMM) - A Deep-Learning Based Multi-Modality Sensor Calibration Method for USV
摘要： The automatic obstacle avoidance and other tasks of the unmanned surface vehicle rely on the fusion of multi-modality onboard sensors. The accurate calibration method is the foundation of sensor fusion. This paper proposes an online calibration method based on the deep learning for visual sensor and depth sensor. Through an end-to-end network, we combine feature extraction, feature matching and global optimization process of sensor calibration. After initial training, the network can continuously calibrate multi-modality sensors. It solves the challenges under USV operating environment. In the simulation environment and realistic environment, we conducted a fast online calibration of the camera, LIDAR and depth camera, which showed the effectiveness of the algorithm.
关键词： multi-modality sensor,calibration,USV,deep learning
更新于2025-09-04 15:30:14