Relevant bibliographies by topics / Detection of dual tires

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Detection of dual tires'

Author: Grafiati
Published: 28 June 2021
Last updated: 6 February 2022

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Journal articles on the topic "Detection of dual tires"

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Nasrulloh, Amar Vijai, Tati L. R. Mengko, and Tommy Apriantono. "Development of Dual Video Acquisition and Parallel AVI Player with Camera Calibration System for Supporting Dual View Motion Detection." International Journal of E-Health and Medical Communications 1, no. 3 (July 2010): 41–49. http://dx.doi.org/10.4018/jehmc.2010070104.

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Human motion capture consists of the recording of human body movements for immediate or delayed analysis and playback. Development of the dual video acquisition methods and continued with dual and parallel AVI player display can visually display dual view motion detection and successfully identify the depth of the motion detection. Times and frames are played together in dual AVI player display. The mouse cursor tags, using markers, every motion manually and records the two view graphics movement of the joints represented by the markers. The software module to find Ln of two camera calibration that connects a 2 dimensional image plane and 3 dimensional world coordinates has been built using Direct Linear Transformation equation with distance error ±0,44 pixels for video camera 1 and ±1,03 pixels for video camera 2.
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Jurányi, Z., H. Burtscher, M. Loepfe, M. Nenkov, and E. Weingartner. "Dual-wavelength light scattering for selective detection of volcanic ash particles." Atmospheric Measurement Techniques Discussions 8, no. 8 (August 13, 2015): 8701–26. http://dx.doi.org/10.5194/amtd-8-8701-2015.

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Abstract. A new method is presented in this paper which analyses the scattered light of individual aerosol particles simultaneously at two different wavelengths in order to retrieve information on the particle type. We show that dust-like particles, such as volcanic ash, can be unambiguously discriminated from water droplets on a single particle level. As a future application of this method, the detection of volcanic ash particles should be possible in a humid atmosphere in the presence of cloud droplets. We show an example, how the characteristic behaviour of pure water's refractive index can be used to separate water droplets and dust-like particles which are commonly found in the micrometer size-range in the ambient air. The low real part of the water's refractive index around 2700–2800 nm results in low scattered light intensities compared to e.g. the visible wavelength range and this feature can be used for the particle identification. The two-wavelength measurement setup was theoretically and experimentally tested and studied. Theoretical calculations were done using Mie theory. Comparing the ratio of the scattered light at the two wavelengths (R value) for water droplets and different dust types (basalt, andesite, African mineral dust, sand, volcanic ash, pumice) showed at least 9 times higher values (on average 70 times) for water droplets than for the dust types at any diameter within the particle size range of 2–20 μm. The envisaged measurement setup was built up into a laboratory prototype and was tested with different types of aerosols. We generated aerosols from the following powders simulating dust-like particles: cement dust, ISO 12103-1 A1 Ultrafine Test Dust and Ash from the 2012 eruption of the Etna volcano. Our measurements verified the theoretical considerations, the median experimental R value is 8–21 times higher for water than for the "dust" particles.
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Lowe, Deborah A., Rebecca K. MacAulay, Dana M. Szeles, Nicholas J. Milano, and Mark T. Wagner. "Dual-Task Gait Assessment in a Clinical Sample: Implications for Improved Detection of Mild Cognitive Impairment." Journals of Gerontology: Series B 75, no. 7 (September 24, 2019): 1372–81. http://dx.doi.org/10.1093/geronb/gbz119.

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Abstract Objectives Research has longitudinally linked dual-task gait dysfunction to mild cognitive impairment (MCI) and dementia risk. Our group previously demonstrated that dual-task gait speed assessment distinguished between subjective cognitive complaints (SCC) and MCI in a memory clinic setting, and also found that differences in dual-task gait speed were largely attributable to executive attention processes. This study aimed to reproduce these findings in a larger diverse sample and to extend them by examining whether there were group differences in single- versus dual-task cognitive performance (number of letters correctly sequenced backward). Method Two-hundred fifty-two patients (M age = 66.01 years, SD = 10.46; 119 MCI, 133 SCC) presenting with cognitive complaints in an academic medical setting underwent comprehensive neuropsychological and gait assessment (single- and dual-task conditions). Results Patients with MCI walked slower and showed greater decrement in cognitive performance than those with SCC during dual-task conditions. Neuropsychological measures of executive attention accounted for significant variance in dual-task gait performance across diagnostic groups beyond demographic and health risk factors. Discussion Reproduction of our results within a sample over four times the previous size provides support for the use of dual-task gait assessment as a marker of MCI risk in clinical settings.
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Wiratama, Wahyu, Jongseok Lee, Sang-Eun Park, and Donggyu Sim. "Dual-Dense Convolution Network for Change Detection of High-Resolution Panchromatic Imagery." Applied Sciences 8, no. 10 (October 1, 2018): 1785. http://dx.doi.org/10.3390/app8101785.

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This paper presents a robust change detection algorithm for high-resolution panchromatic imagery using a proposed dual-dense convolutional network (DCN). In this work, a joint structure of two deep convolutional networks with dense connectivity in convolution layers is designed in order to accomplish change detection for satellite images acquired at different times. The proposed network model detects pixel-wise temporal change based on local characteristics by incorporating information from neighboring pixels. Dense connection in convolution layers is designed to reuse preceding feature maps by connecting them to all subsequent layers. Dual networks are incorporated by measuring the dissimilarity of two temporal images. In the proposed algorithm for change detection, a contrastive loss function is used in a learning stage by running over multiple pairs of samples. According to our evaluation, we found that the proposed framework achieves better detection performance than conventional algorithms, in area under the curve (AUC) of 0.97, percentage correct classification (PCC) of 99%, and Kappa of 69, on average.
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Tosi, Sébastien, Lídia Bardia, Maria Jose Barallobre, Arrate Muñoz-Barrutia, María Luisa Soto-Montenegro, and Julien Colombelli. "MosaicExplorerJ: Interactive stitching of terabyte-size tiled datasets from lightsheet microscopy." F1000Research 9 (November 10, 2020): 1308. http://dx.doi.org/10.12688/f1000research.27112.1.

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We introduce MosaicExplorerJ, an ImageJ macro to stitch 3D tiles from terabyte-size microscopy datasets. As opposed to existing software, stitching does not require any prior information on the actual positions of the tiles, sample fiducials, or conversion of raw TIFF images, and the stitched images can be explored instantly. MosaicExplorerJ was specifically designed to process lightsheet microscopy datasets from optically cleared samples. It can handle multiple fluorescence channels, dual-side lightsheet illumination and dual-side camera detection.
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Gao, Fang, Zhangqin Huang, Shulong Wang, and Xinrong Ji. "Optimized Parallel Implementation of Face Detection Based on Embedded Heterogeneous Many-Core Architecture." International Journal of Pattern Recognition and Artificial Intelligence 31, no. 07 (April 10, 2017): 1756011. http://dx.doi.org/10.1142/s0218001417560110.

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Computing performance is one of the key problems in embedded systems for high-resolution face detection applications. To improve the computing performance of embedded high-resolution face detection systems, a novel parallel implementation of embedded face detection system was established based on a low power CPU-Accelerator heterogeneous many-core architecture. First, a basic CPU version of face detection prototype was implemented based on the cascade classifier and Local Binary Patterns operator. Second, the prototype was extended to a specified embedded parallel computing platform that is called Parallella and consists of Xilinx Zynq and Adapteva Epiphany. Third, the face detection algorithm was optimized to adapt to the Parallella architecture to improve the detection speed and the utilization of computing resources. Finally, a face detection experiment was conducted to evaluate the computing performance of the proposal in this paper. The experimental results show that the proposed implementation obtained a very consistent accuracy as that of the dual-core ARM, and achieved 7.8 times speedup than that of the dual-core ARM. Experiment results prove that the proposed implementation has significant advantages on computing performance.
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Guo, Jiaqing, Aikun Liu, Yutian Zeng, Haojie Cai, Shuai Ye, Hao Li, Wei Yan, Feifan Zhou, Jun Song, and Junle Qu. "Noval Dual-Emission Fluorescence Carbon Dots as a Ratiometric Probe for Cu2+ and ClO− Detection." Nanomaterials 11, no. 5 (May 7, 2021): 1232. http://dx.doi.org/10.3390/nano11051232.

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The use of carbon dots (CDs) with dual emission based on ratiometric fluorescence has been attracting attention in recent times for more accurate ion detection since they help avoid interference from background noise, probe concentration, and complexity. Herein, novel dual-emission nitrogen-doped CDs (NCDs) were prepared by a simple method for Cu2+ and ClO- detection. The NCDs showed excellent anti-interference ability and selectivity for different emissions. In addition, a good linear relationship was observed between the fluorescence intensity (FI) of the NCD solutions in different emissions with Cu2+ (0–90 μM) and ClO− (0–75 μM). The limits of both Cu2+ detection and ClO− were very low, at 17.7 and 11.6 nM, respectively. The NCDs developed herein also showed a good recovery rate in water for Cu2+ and ClO− detection. Hence, they are expected to have a more extensive application prospect in real samples.
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Čeponis, Dainius, and Nikolaj Goranin. "Investigation of Dual-Flow Deep Learning Models LSTM-FCN and GRU-FCN Efficiency against Single-Flow CNN Models for the Host-Based Intrusion and Malware Detection Task on Univariate Times Series Data." Applied Sciences 10, no. 7 (March 30, 2020): 2373. http://dx.doi.org/10.3390/app10072373.

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Intrusion and malware detection tasks on a host level are a critical part of the overall information security infrastructure of a modern enterprise. While classical host-based intrusion detection systems (HIDS) and antivirus (AV) approaches are based on change monitoring of critical files and malware signatures, respectively, some recent research, utilizing relatively vanilla deep learning (DL) methods, has demonstrated promising anomaly-based detection results that already have practical applicability due low false positive rate (FPR). More complex DL methods typically provide better results in natural language processing and image recognition tasks. In this paper, we analyze applicability of more complex dual-flow DL methods, such as long short-term memory fully convolutional network (LSTM-FCN), gated recurrent unit (GRU)-FCN, and several others, for the task specified on the attack-caused Windows OS system calls traces dataset (AWSCTD) and compare it with vanilla single-flow convolutional neural network (CNN) models. The results obtained do not demonstrate any advantages of dual-flow models while processing univariate times series data and introducing unnecessary level of complexity, increasing training, and anomaly detection time, which is crucial in the intrusion containment process. On the other hand, the newly tested AWSCTD-CNN-static (S) single-flow model demonstrated three times better training and testing times, preserving the high detection accuracy.
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Tosi, Sébastien, Lídia Bardia, Maria Jose Barallobre, Arrate Muñoz-Barrutia, María Luisa Soto-Montenegro, and Julien Colombelli. "MosaicExplorerJ: Interactive stitching of terabyte-size tiled datasets from lightsheet microscopy." F1000Research 9 (February 4, 2021): 1308. http://dx.doi.org/10.12688/f1000research.27112.2.

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We introduce MosaicExplorerJ, an ImageJ macro to stitch 3D tiles from terabyte-size microscopy datasets organized on a regular 2D grid. As opposed to existing software, stitching does not require any prior information on the actual positions of the tiles, or conversion of raw TIFF images to a multi-resolution format for interactive exploration and fast processing. MosaicExplorerJ was specifically designed to process lightsheet microscopy datasets from optically cleared samples. It can handle multiple fluorescence channels, dual-sided lightsheet illumination and dual-sided camera detection.
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Hambly, A. C., R. K. Henderson, A. Baker, R. M. Stuetz, and S. J. Khan. "Fluorescence monitoring for cross-connection detection in water reuse systems: Australian case studies." Water Science and Technology 61, no. 1 (January 1, 2010): 155–62. http://dx.doi.org/10.2166/wst.2010.795.

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A rapid, highly sensitive method for detection of cross-connections between recycled and potable water in dual reticulation systems is required. The aim of this research was to determine the potential of fluorescence spectroscopy as a monitoring tool at three Australian dual distribution (drinking and recycled water) systems. Weekly grab samples of recycled and potable water were obtained over 12 weeks at each site and analysed for fluorescence excitation-emission matrix (EEM) spectroscopy, UV254, dissolved organic carbon (DOC), electrical conductivity and pH. Fluorescence EEM spectroscopy was able to differentiate between recycled and potable water at each site by monitoring the protein-like fluorescence at peak T—an excitation-emission wavelength pair of λex/em = 300/350 nm. While electrical conductivity was also able to distinguish between recycled and potable water, the differentiation was greatest when using fluorescence. For example, the peak T fluorescence in recycled water was up to 10 times that of potable water in comparison with electrical conductivity that had a maximum 5 times differentiation. Furthermore, by comparing the protein-like fluorescence at peak T and humic-like fluorescence at peak A (λex/em = 235/426 nm), the three different recycled water systems were able to be differentiated. Overall, fluorescence shows promise as a monitoring tool for detecting cross-connections.
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Dissertations / Theses on the topic "Detection of dual tires"

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Mičulka, Martin. "Detekce nápravy v systému vážení za jízdy." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2021. http://www.nusl.cz/ntk/nusl-442430.

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This master's thesis deals with the Weight in Motion systems (WIM). The main goal is to create simulation software that detects dual tires assembly with respect to the angle with which the sensor is embedded into the road. Thesis also contains literature search of available solutions of weighing systems and the sensors which are used in these systems. Subsequently, the thesis contains software for recognizing simple assembly or dual tires assembly from real measured data. Software solutions were developed using programming language Python v3.7. All source codes were developed in PyCharm Community Edition 2020.
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Hallam, Robert Kenneth. "Dual optical detection and multivariate analysis." Thesis, Loughborough University, 2003. https://dspace.lboro.ac.uk/2134/33747.

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The application of flow injection analysis into the simultaneous determination of two or more components has been challenging for many years. Various detectors such as ultraviolet/visible absorption, fluorescence, and electrochemical detectors, have been used individually or in combination with each other. Combining two optical detectors such as fluorescence and ultraviolet/visible absorbance, however, has always been challenging due to their incompatibilities. However, the recent developments in fibre optics, solid-state light sources and miniaturised charged coupled devices (CCD), allow novel designs and most of the incompatibilities be circumvented. A flow injection manifold can now be adapted so that only one flow cell is used along with a diode array CCD detector that can detect both fluorescence and absorbance simultaneously. The initial development and testing of such dual detection system is described in this thesis.
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Fronk, Ryan G. "Dual-side etched microstructured semiconductor neutron detectors." Diss., Kansas State University, 2017. http://hdl.handle.net/2097/35426.

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Doctor of Philosophy
Department of Mechanical and Nuclear Engineering
Douglas S. McGregor
Interest in high-efficiency replacements for thin-film-coated thermal neutron detectors led to the development of single-sided microstructured semiconductor neutron detectors (MSNDs). MSNDs are designed with micro-sized trench structures that are etched into a vertically-oriented pvn-junction diode, and backfilled with a neutron converting material, such as ⁶LiF. Neutrons absorbed by the converting material produce a pair of charged-particle reaction products that can be measured by the diode substrate. MSNDs have higher neutron-absorption and reaction-product counting efficiencies than their thin-film-coated counterparts, resulting in up to a 10x increase in intrinsic thermal neutron detection efficiency. The detection efficiency for a single-sided MSND is reduced by neutron streaming paths between the conversion-material filled regions that consequently allow neutrons to pass undetected through the detector. Previously, the highest reported intrinsic thermal neutron detection efficiency for a single MSND was approximately 30%. Methods for double-stacking and aligning MSNDs to reduce neutron streaming produced devices with an intrinsic thermal neutron detection efficiency of 42%. Presented here is a new type of MSND that features a complementary second set of trenches that are etched into the back-side of the detector substrate. These dual-sided microstructured semiconductor neutron detectors (DS-MSNDs) have the ability to absorb and detect neutrons that stream through the front-side, effectively doubling the detection efficiency of a single-sided device. DS-MSND sensors are theoretically capable of achieving greater than 80% intrinsic thermal neutron detection efficiency for a 1-mm thick device. Prototype DS-MSNDs with diffused pvp-junction operated at 0-V applied bias have achieved 53.54±0.61%, exceeding that of the single-sided MSNDs and double-stacked MSNDs to represent a new record for detection efficiency for such solid-state devices.
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Lineberger, Ernest R. "Bubble detection using a dual frequency sound field." Thesis, Monterey, California. Naval Postgraduate School, 1988. http://hdl.handle.net/10945/22932.

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Dutch, A. D. "Pulse fluorometry using a dual detection channel instrument." Thesis, University of Strathclyde, 1985. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.372089.

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Hakenberg, Sydney [Verfasser], and Gerald A. [Akademischer Betreuer] Urban. "A microfluidic dual chip system for rapid pathogen detection." Freiburg : Universität, 2015. http://d-nb.info/1119328152/34.

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Wu, Zecai. "Enantiomeric purity determination using dual polarimetric and absorbance detection." Thesis, University of York, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.306467.

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Mather, Luke. "Dual-phase side-channel evaluations : leakage detection and exploitation." Thesis, University of Bristol, 2015. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.687064.

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Side-channel analysis may be used by an adversary to recover secret information from some form of environmental data emitted by a cryptographic device or application. In this thesis, we discuss some of the challenges faced by evaluation bodies attempting to certify the resistance of devices and applications to side-channel attacks, with relevance to the development of the Common Criteria version 3.1 and FIPS 140-3 standardisation documents. We separate this question into two components: identifying the presence of information leakage in a detection phase, and determining the exact level of the resistance of a device in an exploitation phase. We explore these two components when applied to information leakage in cryptographic hardware and networked web applications. For the detection phase, we demonstrate how various hypothesis tests can be used to reliably detect the presence of information leakage, either as part of a "pass or fail" style approach or to identify instances of leakage warranting further investigation. For the exploitation phase, we present a novel method for combining the results of multiple differential power analysis attacks, finding that in some cases we can dramatically increase the success rate of an adversary using the same data set. We also focus on the implications of the growth in high-performance computing technologies on the evaluation processes, demonstrating that dramatic decreases in the running time of common algorithms can be achieved using modern general purpose graphics processing unit devices and a pipelined architecture. This suggests that the efficiency of the implementation of an attack should be of concern to side-channel evaluators and researchers.
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Roberts, Stefan Ross. "Non-intrusive knock detection in a turbocharged, dual fuel engine." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk3/ftp05/mq22664.pdf.

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M, Dube Chad. "Dual-process theory and syllogistic reasoning a signal detection analysis /." Amherst, Mass. : University of Massachusetts Amherst, 2009. http://scholarworks.umass.edu/theses/242/.

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Books on the topic "Detection of dual tires"

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Lineberger, Ernest R. Bubble detection using a dual frequency sound field. Monterey, Calif: Naval Postgraduate School, 1988.

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Firtel, M. The flow cytometric detection of dual-stained organisms in dental plaque. [Toronto: Faculty of Dentistry, University of Toronto], 1990.

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Stokkel, Marcel P. M. The clinical applicability of F18-FDG detection with a dual-head coincidence camera. Maarssen: Elsevier, 1999.

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Nihan, N. L. Improving dual-loop truck (and speed) data: Quick detection of malfunctioning loops and calculation of required adjustments. [Olympia, Wash.]: Washington State Dept. of Transportation, 2006.

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Johns, Paul Charles. Dual -energy radiography for breast cancer detection. 1986.

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Firtel, Max *. The flow cytometric detection of dual-stained organisms in dental plaque. 1991.

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A vector-based failure detection and isolation algorithm for a dual fail-operational redundant strapdown inertial measurement unit. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1987.

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L, Bailey Melvin, and Langley Research Center, eds. A vector-based failure detection and isolation algorithm for a dual fail-operational redundant strapdown inertial measurement unit. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1987.

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L, Bailey Melvin, and Langley Research Center, eds. A vector-based failure detection and isolation algorithm for a dual fail-operational redundant strapdown inertial measurement unit. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1987.

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United States. National Aeronautics and Space Administration., ed. A dual-line detection Rayleigh scattering diagnostic technique for the combustion of hydrocarbon fuels (NAG3-1301) and Filtered UV Rayleigh scattering for gas velocity measurements (NAG3-1690): Final report. [Washington, DC: National Aeronautics and Space Administration, 1997.

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Book chapters on the topic "Detection of dual tires"

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Fan, Baojie, Wei Chen, Yang Cong, and Jiandong Tian. "Dual Refinement Underwater Object Detection Network." In Computer Vision – ECCV 2020, 275–91. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58565-5_17.

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Park, Kang Ryoung, and Jaihie Kim. "Gaze Detection by Dual Camera and Dual IR-LED Illuminators." In MICAI 2004: Advances in Artificial Intelligence, 622–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24694-7_64.

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Weinberg, Graham V. "Dual Order Statistic CFAR Detectors." In Radar Detection Theory of Sliding Window Processes, 155–80. Boca Raton : Taylor & Francis, CRC Press, [2017] | “A science publishers book.”|Includes bibliographical references and index.|: CRC Press, 2017. http://dx.doi.org/10.1201/9781315154015-7.

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Alazizi, Ayman, Amaury Habrard, François Jacquenet, Liyun He-Guelton, and Frédéric Oblé. "Dual Sequential Variational Autoencoders for Fraud Detection." In Lecture Notes in Computer Science, 14–26. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44584-3_2.

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Ben-Menachem, Reut, and Ophry Pines. "Detection of Dual Targeting and Dual Function of Mitochondrial Proteins in Yeast." In Methods in Molecular Biology, 179–95. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4939-6824-4_11.

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Zhao, Zhen, Yuhong Guo, Haifeng Shen, and Jieping Ye. "Adaptive Object Detection with Dual Multi-label Prediction." In Computer Vision – ECCV 2020, 54–69. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-58604-1_4.

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Li, Nan, and Kagan Kerman. "Nanomaterial-Based Dual Detection Platforms: Optics Meets Electrochemistry." In Nanobiosensors and Nanobioanalyses, 99–120. Tokyo: Springer Japan, 2015. http://dx.doi.org/10.1007/978-4-431-55190-4_6.

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Sun, Xudong, Lei Huang, and Changping Liu. "Dual Camera Based Feature for Face Spoofing Detection." In Communications in Computer and Information Science, 332–44. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-3002-4_28.

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Eftekhar Azam, Saeed. "Dual Estimation and Reduced Order Modeling of Damaging Structures." In Online Damage Detection in Structural Systems, 105–21. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02559-9_5.

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Nieman, K., N. Mollet, F. Cademartiri, and P. De Feyter. "Detection and Exclusion of Coronary Artery Stenosis." In Multi-slice and Dual-source CT in Cardiac Imaging, 205–13. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-49546-8_9.

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Conference papers on the topic "Detection of dual tires"

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Law, E. H., Ibrahim Janajreh, and Norman Frey. "Vehicle Ride Response to New Widebase Tires and Conventional Dual Tires." In International Truck & Bus Meeting & Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2002. http://dx.doi.org/10.4271/2002-01-3114.

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Wu, Jie, Wei Zhang, Guanbin Li, Wenhao Wu, Xiao Tan, Yingying Li, Errui Ding, and Liang Lin. "Weakly-Supervised Spatio-Temporal Anomaly Detection in Surveillance Video." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/162.

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In this paper, we introduce a novel task, referred to as Weakly-Supervised Spatio-Temporal Anomaly Detection (WSSTAD) in surveillance video. Specifically, given an untrimmed video, WSSTAD aims to localize a spatio-temporal tube (i.e., a sequence of bounding boxes at consecutive times) that encloses the abnormal event, with only coarse video-level annotations as supervision during training. To address this challenging task, we propose a dual-branch network which takes as input the proposals with multi-granularities in both spatial-temporal domains. Each branch employs a relationship reasoning module to capture the correlation between tubes/videolets, which can provide rich contextual information and complex entity relationships for the concept learning of abnormal behaviors. Mutually-guided Progressive Refinement framework is set up to employ dual-path mutual guidance in a recurrent manner, iteratively sharing auxiliary supervision information across branches. It impels the learned concepts of each branch to serve as a guide for its counterpart, which progressively refines the corresponding branch and the whole framework. Furthermore, we contribute two datasets, i.e., ST-UCF-Crime and STRA, consisting of videos containing spatio-temporal abnormal annotations to serve as the benchmarks for WSSTAD. We conduct extensive qualitative and quantitative evaluations to demonstrate the effectiveness of the proposed approach and analyze the key factors that contribute more to handle this task.
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Hu, Peng, Yongshou Yang, and Xiaodong Pan. "Influence on Asphalt Pavement Fatigue Damage of Different Distance between Dual Tires." In 11th International Conference of Chinese Transportation Professionals (ICCTP). Reston, VA: American Society of Civil Engineers, 2011. http://dx.doi.org/10.1061/41186(421)348.

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Mutiara, Giva Andriana, Periyadi, Mochammad Ghani, and Janfery Haisma Sinaga. "Preventing Traffic Road Accident: Prototype of Monitoring Tires Failure Detection." In 2019 5th International Conference on Science in Information Technology (ICSITech). IEEE, 2019. http://dx.doi.org/10.1109/icsitech46713.2019.8987506.

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Fabela-Gallegos, Manuel, Ricardo Hernandez, David Vazquez-Vega, and Oscar Flores-Centeno. "Evaluation of Contact Force and Pressure of Heavy Vehicle's Supersingle Tire versus Dual Tires." In SAE 2010 Commercial Vehicle Engineering Congress. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2010. http://dx.doi.org/10.4271/2010-01-1900.

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Waworundeng, Jacquline Morlav S., Deva Fernando Tiwow, and Lothar Mark Tulangi. "Air Pressure Detection System on Motorized Vehicle Tires Based on IoT Platform." In 2019 1st International Conference on Cybernetics and Intelligent System (ICORIS). IEEE, 2019. http://dx.doi.org/10.1109/icoris.2019.8874904.

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Fukuda, Toshio, Shinsuke Sato, Yasuhisa Hasegawa, Takayuki Matsuno, and Zakarya Zyada. "Motion Control of Landmine Detection Vehicle Equipped with Low-Ground-Pressure Tires." In 2006 IEEE International Symposium on MicroNanoMechanical and Human Science. IEEE, 2006. http://dx.doi.org/10.1109/mhs.2006.320238.

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Fabela-Gallegos, Manuel J., Ricardo Hernandez-Jimenez, Oscar Flores-Centeno, David Vazquez-Vega, and Miguel Martinez-Madrid. "Contact Force and Pressure between Tire and Road Using Dual Tires under Different Loads and Inflation Pressures." In Commercial Vehicle Engineering Congress & Exhibition. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2008. http://dx.doi.org/10.4271/2008-01-2685.

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Schaum, Alan. "Principles of Dual Fusion Detection." In 2018 IEEE Applied Imagery Pattern Recognition Workshop (AIPR). IEEE, 2018. http://dx.doi.org/10.1109/aipr.2018.8707417.

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Deutsch, Bradley, and Lukas Novotny. "Nanoparticle Detection Using Dual-Phase Interferometry." In Frontiers in Optics. Washington, D.C.: OSA, 2008. http://dx.doi.org/10.1364/fio.2008.fthq4.

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Reports on the topic "Detection of dual tires"

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Capps, Gary, Bill Knee, Oscar Franzese, Paul Pollock, Daniel Coleman, Ibrahim Janajreh, Steven Haas, et al. Truck Rollover Characterization for Class-8 Tractor-Trailers Utilizing Standard Dual Tires and New-Generation Single Tires. Office of Scientific and Technical Information (OSTI), July 2005. http://dx.doi.org/10.2172/1344099.

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Pashby, J., S. Glenn, C. Divin, and H. Martz. Radiation Detection and Dual-Energy X-Ray Imaging for Port Security. Office of Scientific and Technical Information (OSTI), August 2017. http://dx.doi.org/10.2172/1389982.

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Kelly, Keegan. Development in Neutron Scattering at WNR using Dual n-gamma Detection. Office of Scientific and Technical Information (OSTI), April 2021. http://dx.doi.org/10.2172/1779624.

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Buhl, M. R., J. E. Hernandez, G. A. Clark, and S. K. Sengupta. Dual-band, infrared buried mine detection using a statistical pattern recognition approach. Office of Scientific and Technical Information (OSTI), August 1993. http://dx.doi.org/10.2172/10182952.

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Doyle, Barney Lee, Michael King, Paolo Rossi, Floyd Del McDaniel, Daniel Henry Morse, Arlyn J. Antolak, Paula Polyak Provencio, and Thomas N. Raber. A dual neutron/gamma source for the Fissmat Inspection for Nuclear Detection (FIND) system. Office of Scientific and Technical Information (OSTI), December 2008. http://dx.doi.org/10.2172/946576.

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Hall, David. Feasibility of Dual Optics/Ultrasound Imaging and Contrast Media for the Detection and Characterization of Prostate Cancer. Fort Belvoir, VA: Defense Technical Information Center, March 2008. http://dx.doi.org/10.21236/ada484254.

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Manning, D. L., and M. P. Maskarinec. HPLC/EC studies of selected explosive components, nitroanilines, and nitrophenols with dual electrode electrochemical detection. Final report. Office of Scientific and Technical Information (OSTI), October 1986. http://dx.doi.org/10.2172/7130234.

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Sun, Xiankai. PSMA-Targeted Nano-Conjugates as Dual-Modality (MRI/PET) Imaging Probes for the Noninvasive Detection of Prostate Cancer. Fort Belvoir, VA: Defense Technical Information Center, October 2006. http://dx.doi.org/10.21236/ada463857.

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Sun, Xiankai. PSMA-Targeted Nano-Conjugates as Dual-Modality (MRI/PET) Imaging Probes for the Non-Invasive Detection of Prostate Cancer. Fort Belvoir, VA: Defense Technical Information Center, October 2008. http://dx.doi.org/10.21236/ada493649.

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Adam, B., W. Celeste, H. Christian, S. Wolfgang, and M. Norman. Demonstration of Key Elements of a Dual Phase Argon Detection System Suitable for Measurement of Coherent Neutrino-Nucleus Scattering. Office of Scientific and Technical Information (OSTI), April 2007. http://dx.doi.org/10.2172/908090.

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