A Database Retrieval Method for the Prediction of Reduced Luminance Coefficient Tables of A Road Surface Based on Measurements in Situ

2020 ◽  
pp. 1-9
Author(s):  
Wenyi Li ◽  
Yang Hu ◽  
Yajing Ji ◽  
Muqing Liu ◽  
Haiping Shen
Keyword(s):  
Road Surface ◽  
Retrieval Method ◽  
Database Retrieval

scholarly journals In Situ Rubber-Wheel Contact on Road Surface Using Ultraviolet-Induced Fluorescence Method

2020 ◽  
Vol 10 (24) ◽  
pp. 8804
Author(s):  
Jhonni Rahman ◽  
Yutaka Shoukaku ◽  
Tomoaki Iwai
Keyword(s):  
Contact Area ◽  
High Speed ◽  
High Sensitivity ◽  
Dynamic Contact ◽  
Road Surface ◽  
Oxide Semiconductor ◽  
Small Scale ◽  
In Situ Observation ◽  
On The Road

This study examines the relationship between rubber-wheel and the contact area on the road surface. Ultraviolet-induced fluorescence microscopy was used to observe and measure the contact parts with pyranine as a dye solution. The high sensitivity to U.V. light makes it easy to distinguish contact and non-contact regions on a very small scale. The experiment was conducted in static and dynamic conditions to identify its influence on the apparent contact area of rubber-wheel and road surface. The in-situ observation of the contact area was captured and recorded using a high-speed digital camera with 1-inch a CMOS (complementary metal oxide semiconductor) sensor. Additionally, the contact area between rubber-wheel and road surface was measured using an analyzing software. The results show differences in static and dynamic contact conditions based on the operating parameters.

Simulation of Fast Retrieval Method for Large-Scale Image Database

2014 ◽  
Vol 556-562 ◽  
pp. 4959-4962
Author(s):  
Sai Qiao
Keyword(s):  
Feature Extraction ◽  
Large Scale ◽  
Great Increase ◽  
Texture Features ◽  
Image Database ◽  
Image Databases ◽  
Matching Method ◽  
Retrieval Method ◽  
Database Retrieval ◽  
Database Constraints

The traditional database information retrieval method is achieved by retrieving simple corresponding association of the attributes, which has the necessary requirement that image only have a single characteristic, with increasing complexity of image, it is difficult to process further feature extraction for the image, resulting in great increase of time consumed by large-scale image database retrieval. A fast retrieval method for large-scale image databases is proposed. Texture features are extracted in the database to support retrieval in database. Constraints matching method is introduced, in large-scale image database, referring to the texture features of image in the database to complete the target retrieval. The experimental results show that the proposed algorithm applied in the large-scale image database retrieval, augments retrieval speed, thereby improves the performance of large-scale image database.

scholarly journals Estimation and Mapping of Hurricane Turbulent Energy Using Airborne Doppler Measurements

2010 ◽  
Vol 138 (9) ◽  
pp. 3656-3670 ◽  
Author(s):  
Sylvie Lorsolo ◽  
Jun A. Zhang ◽  
Frank Marks ◽  
John Gamache
Keyword(s):  
Boundary Layer ◽  
Three Dimensional ◽  
Turbulent Energy ◽  
Vertical Shear ◽  
Horizontal Wind ◽  
Horizontal Shear ◽  
Retrieval Method ◽  
Hurricane Boundary Layer

Abstract Hurricane turbulent kinetic energy (TKE) was computed using airborne Doppler measurements from the NOAA WP-3D tail radars, and TKE data were retrieved for a variety of storms at different stages of their life cycle. The geometry of the radar analysis coupled with the relatively small beam resolution at ranges <8 km allowed for the estimation of subkilometer turbulent processes. Two-dimensional profiles of TKE were constructed and revealed that the strongest turbulence was generally located in convective regions, such as the eyewall, with magnitudes often exceeding 15 m2 s−2 and in the boundary layer with values of 5–10 m2 s−2 in the lowest kilometer. A correlation analysis showed that the strong turbulence was generally associated with strong horizontal shear of vertical and radial wind components in the eyewall and strong vertical shear of horizontal wind in the boundary layer. Mean vertical profiles of TKE decrease sharply above the hurricane boundary layer and level off at low magnitude for all regions outside the radius of maximum wind. The quality of the retrieval method was evaluated and showed very good agreement with TKE values directly calculated from the three-dimensional wind components of in situ measurements. The method presented here provides a unique opportunity to assess hurricane turbulence throughout the storm, especially in high-wind regions, and can be applied on extensive datasets of past and future airborne hurricane penetrations.

Multiple-scattering lidar retrieval method: tests on Monte Carlo simulations and comparisons with in situ measurements

2002 ◽  
Vol 41 (30) ◽  
pp. 6307 ◽  
Author(s):  
Luc R. Bissonnette ◽  
Gilles Roy ◽  
Laurent Poutier ◽  
Stewart G. Cober ◽  
George A. Isaac
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Multiple Scattering ◽  
In Situ Measurements ◽  
Retrieval Method

SHAPE-BASED IMAGE RETRIEVAL APPLIED TO TRADEMARK IMAGES

2002 ◽  
Vol 02 (03) ◽  
pp. 375-393 ◽  
Author(s):  
OSSAMA EL BADAWY ◽  
MOHAMED KAMEL
Keyword(s):  
Feature Vector ◽  
Connected Components ◽  
Moment Invariants ◽  
Shape Features ◽  
Partial Match ◽  
Query Image ◽  
Retrieval Method ◽  
Database Retrieval ◽  
Trademark Images ◽  
The Moment

We propose a new shape-based, query-by-example, image database retrieval method that is able to match a query image to one of the images in the database, based on a whole or partial match. The proposed method has two key components: the architecture of the retrieval and the features used. Both play a role in the overall retrieval efficacy. The proposed architecture is based on the analysis of connected components and holes in the query and database images. The features we propose to use are geometric in nature, and are invariant to translation, rotation and scale. Each of the suggested three features is not new per se, but combining them to produce a compact and efficient feature vector is. We use hand-sketched, rotated and scaled query images to test the proposed method using a database of 500 logo images. We compare the performance of the suggested features with the performance of the moment invariants (a set of commonly-used shape features). The suggested features match the moment invariants in rotated and scaled queries and consistently surpass them in hand-sketched queries. Moreover, results clearly show that the proposed architecture significantly increases the performance of the two feature sets.

scholarly journals Predicting the Evenness of Road Surfaces

2021 ◽  
Vol 20 (3) ◽  
pp. 216-223
Author(s):  
Yu. V. Burtyl ◽  
M. G. Salodkaya ◽  
Ya. N. Kovalev
Keyword(s):  
Traffic Safety ◽  
Evaluation Criteria ◽  
Road Surface ◽  
The Road ◽  
Number Of Factors ◽  
Road Surfaces ◽  
Strength Based ◽  
On The Road ◽  
Comprehensive Indicator

The design of road surfaces involves application of  a sophisticated algorithm system based on mathematical calculations and engineering solutions, with the calculation of evaluation criteria.  It is precisely the observance of the standardized requirements in terms of design criteria that makes it possible to consider the design of the pavement as reliable, and the road as safe and convenient for traffic during the specified service life. When calculating the strength, based on the predicted traffic intensity and the composition of the traffic flow, calculations are carried out according to the main criteria: admissible elastic deflection, shear in layers of non-reinforced materials and in asphalt concrete, as well as the ultimate tensile stresses in cast-in-situ materials with the specified reliability level.  However, in the accepted concepts for  calculating the strength and reliability of road pavements,  only the force effect is directly taken into account. To take into account environmental factors, it is necessary to develop a comprehensive indicator of the resulting impact of all factors. The paper presents a complex of factors influencing on traffic safety, road deformations and irregularities the height of unevenness, in particular, an increase in the dynamic impact on the road and the amplitude of vibration of a car wheel on a road with an uneven surface (when detached from the road surface), the coincidence of the vibration frequency of the car with the natural frequencies of vibration of the road surface, and as a consequence, on the behavioral features of driving. The arguments have been substantiated that the predictive models do not take into account a number of factors that have a significant impact on the formation of irreversible deformation in the layers of materials of road structures.

An Express Retrieval Method of Face Based on Semantic Features

2013 ◽  
Vol 850-851 ◽  
pp. 905-908
Author(s):  
Ming Zhang ◽  
Hai Wei Mu ◽  
Xiang Lou Liu ◽  
Dong Yan Zhao
Keyword(s):  
Image Retrieval ◽  
Retrieval System ◽  
Recognition Rate ◽  
Face Image ◽  
Image Process ◽  
Semantic Features ◽  
Retrieval Method ◽  
Database Retrieval ◽  
Image Retrieval System ◽  
Face Pattern

The paper uses digital image processing technology, technology of face pattern recognition and traditional database retrieval technology, integrate image retrieval technology based on version and content, and avoid the complexity of matching image process. The experiments with 200 human samples, correctly retrieved for 155 people, exactly matched to 125. The recognition rate of the system is 75.55%, the average time of search is less than 0.1s. Experiments indicate this method has strong robustness. The semantic face image retrieval system using this method has the characteristics of fast, efficient, practical.

scholarly journals Characterization of anthropogenic methane plumes with the Hyperspectral Thermal Emission Spectrometer (HyTES): a retrieval method and error analysis

2016 ◽  
Vol 9 (7) ◽  
pp. 3165-3173 ◽  
Author(s):  
Le Kuai ◽  
John R. Worden ◽  
King-Fai Li ◽  
Glynn C. Hulley ◽  
Francesca M. Hopkins ◽  
...  
Keyword(s):  
Air Temperature ◽  
Thermal Emission ◽  
Total Error ◽  
Oil Field ◽  
Retrieval Algorithm ◽  
Retrieval Method ◽  
Uncertainty Estimates ◽  
Temperature Surface

Abstract. We introduce a retrieval algorithm to estimate lower tropospheric methane (CH4) concentrations from the surface to 1 km with uncertainty estimates using Hyperspectral Thermal Emission Spectrometer (HyTES) airborne radiance measurements. After resampling, retrievals have a spatial resolution of 6 × 6 m2. The total error from a single retrieval is approximately 20 %, with the uncertainties determined primarily by noise and spectral interferences from air temperature, surface emissivity, and atmospheric water vapor. We demonstrate retrievals for a HyTES flight line over storage tanks near Kern River Oil Field (KROF), Kern County, California, and find an extended plume structure in the set of observations with elevated methane concentrations (3.0 ± 0.6 to 6.0 ± 1.2 ppm), well above mean concentrations (1.8 ± 0.4 ppm) observed for this scene. With typically a 20 % estimated uncertainty, plume enhancements with more than 1 ppm are distinguishable from the background values with its uncertainty. HyTES retrievals are consistent with simultaneous airborne and ground-based in situ CH4 mole fraction measurements within the reported accuracy of approximately 0.2 ppm (or  ∼ 8 %), due to retrieval interferences related to air temperature, emissivity, and H2O.

Sound absorption measurement of road surface with in situ technology

2015 ◽  
Vol 88 ◽  
pp. 12-21 ◽  
Author(s):  
Mingliang Li ◽  
Wim van Keulen ◽  
Emiel Tijs ◽  
Martin van de Ven ◽  
André Molenaar
Keyword(s):  
Sound Absorption ◽  
Absorption Measurement ◽  
Road Surface

scholarly journals A Heterogeneous Geospatial Data Retrieval Method Using Knowledge Graph

2021 ◽  
Vol 13 (4) ◽  
pp. 2005
Author(s):  
Junnan Liu ◽  
Haiyan Liu ◽  
Xiaohui Chen ◽  
Xuan Guo ◽  
Qingbo Zhao ◽  
...  
Keyword(s):  
Data Storage ◽  
Query Language ◽  
Data Retrieval ◽  
Semantic Knowledge ◽  
Geospatial Data ◽  
Knowledge Graph ◽  
Spatial Studies ◽  
Retrieval Method ◽  
Database Retrieval ◽  
Spatial Entities

Information resources have increased rapidly in the big data era. Geospatial data plays an indispensable role in spatially informed analyses, while data in different areas are relatively isolated. Therefore, it is inadequate to use relational data in handling many semantic intricacies and retrieving geospatial data. In light of this, a heterogeneous retrieval method based on knowledge graph is proposed in this paper. There are three advantages of this method: (1) the semantic knowledge of geospatial data is considered; (2) more information required by users could be obtained; (3) data retrieval speed can be improved. Firstly, implicit semantic knowledge is studied and applied to construct a knowledge graph, integrating semantics in multi-source heterogeneous geospatial data. Then, the query expansion rules and the mappings between knowledge and database are designed to construct retrieval statements and obtain related spatial entities. Finally, the effectiveness and efficiency are verified through comparative analysis and practices. The experiment indicates that the method could automatically construct database retrieval statements and retrieve more relevant data. Additionally, users could reduce the dependence on data storage mode and database Structured Query Language syntax. This paper would facilitate the sharing and outreach of geospatial knowledge for various spatial studies.

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