934 research outputs found
Lane Detection using Spatio-Temporal Attention
No full textLane detection represents a fundamental task for automated/autonomous vehicles. Current lane detection methods do not provide the versatility of real-time performance, robustness,and accuracy required for real-world scenarios. The reasons include lack of computing power while being portable and inability to observe the continuity and structure of lane lines over a sequence of images. An investigation into the present methods in the literature reveals that deep learning networks cannot focus on relevant images and critical parts of the images. The neural networks implemented with max-pooling operations can cause a loss of information at a granular level of the image during the downsampling of images. Obtaining a fixed set of lane locations will restrict the number of lane lines detected. It hinders the generalisability of the network. This thesis aims to introduce a novel spatio temporal method that can focus on lane lines and key features to increase the robustness and accuracy of lane line detection.The spatio temporal attention network based on Long Short Term Memory (LSTM) units tested on the tvtLane dataset provided an accuracy of 98.1443%, the precision of 0.8873, and F1-score of 0.9108. The precision and F1-measure are the highest when compared to state-of-the-art lane detection networks. The spatio temporal FC attention network produces better accuracy and precision on TuSimple dataset than state-of-the-art networks with 98.2078% and 0.8861, respectively. Testing on the LLAMAS dataset, the network achieved an average precision of 0.8028 and corner recall of 0.7183. The results show the robustness and high accuracy on two different datasets with unique distributions. Although the network is trained on datasets with a maximum of five lanes, it can detect more than five lanes in an image.The network is also able to detect lanes on the unseen Netherlands dataset.SAMENMechanical Engineering | Systems and Contro
Computerised library system and the legal profession
No full textThe author explores the computer applications and computerised methods of functioning that have become prevalent in India both in the library system and in the legal profession in India. However, Patil argues that modern technology and managerial techniques evolved during the last few years in India are no substitute for a capable and efficient administrator, who could use these tools to achieve the goals set for law libraries and to the legal profession. The prospects of introducing modern technology in India depends on administrative, physical, and operational decisions. Further, such a system finally created with its infrastructure, may give lead for the establishment of world-wide information network activities. (Editor’s abstract.
The Benefits of Being Economics Professor A (and not Z)
No full textAlphabetic name ordering on multi-authored academic papers, which is the convention in the economics discipline and various other disciplines, is to the advantage of people whose last name initials are placed early in the alphabet. As it turns out, Professor A, who has been a first author more often than Professor Z, will have published more articles and experienced afaster growth rate over the course of her career as a result of reputation and visibility. Moreover, authors know that name ordering matters and indeed take ordering seriously: Several characteristics of an author group composition determine the decision to deviate from the default alphabetic name order to a significant extent.performance measurement, incentives, economists, name ordering
Elements of Ethnotaxonomy in Dhule and Nandurbar Districts (Maharashtra)
No full textDhule and Nandurbar districts of Maharashtra are mainly inhabited by tribals and rural folks. The author’s ethnobotanical and floristic forays in these districts brought out certain elements of ethnotaxonomy like ethnotaxonomic markers, classifications, principles of nomenclature and exomorphic features. The facts gathered indicated that the people in the area are fairly flooded with reckonable elements of ethnotaxonomy. And 22 ethnotaxonomic markers are identified. These are evaluated and discussed pertinently in this paper.-----------------------------------------------------------------------------------------------------Post Graduate Department of Botany, S.S.V.P.S’s L.K. P.R.Ghogrey Science College, Dhule-424005 (Maharashtra), India*Corresponding author, Email: [email protected] Cite This Article As: D.A. Patil. 2010. Elements of Ethnotaxonomy in Dhule and Nandurbar Districts (Maharashtra). J. Ecobiotechnol. 2(3): 18-25
Influence of geometric parameters on 3D periodic lattice effective properties
No full textLattice materials are generated by tessellating a unit cell, composed of a specific truss configurations, in an infinite periodicity to combine the effect of bulk material properties and geometric periodicity. They offer enhanced mechanical and dynamic properties per unit mass, and the ability to engineer the material response by optimizing the unit cell. Characterizing lattice properties through experiments can be a time consuming and costly process, so analytical and numerical methods are crucial. Specifically, the Bloch-wave homogenization approach allows one to characterize the effective static properties of the lattice unit cell while simultaneously analyzing wave propagation properties. While this analysis has been used for some time, a thorough study of this approach on 3D lattice materials with different symmetries and geometries is presented here. Using Bloch-wave homogenization, multiple periodic lattices with cubic, transversely isotropic, and tetragonal symmetry, including an auxetic geometry, over a wide range of relative densities are analyzed within a finite element framework. The effect of geometric parameters on lattice properties is discussed and a comparison between lattices based on their anisotropy index is presented. Method studied in this thesis can be extended for designing multifunctional metamaterials with optimized static and dynamic properties simultaneously. This work can also serve as the basis for nondestructive evaluation of metamaterials properties using ultrasonic velocity measurements.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2021-05-01The student, Ganesh Patil, accepted the attached license on 2019-04-24 at 19:00.The student, Ganesh Patil, submitted this Thesis for approval on 2019-04-24 at 19:11.This Thesis was approved for publication on 2019-04-25 at 12:03.DSpace SAF Submission Ingestion Package generated from Vireo submission #13897 on 2019-08-22 at 15:08:33Made available in DSpace on 2019-08-23T20:36:11Z (GMT). No. of bitstreams: 2
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Force distribution analysis of mechanochemically reactive dimethylcyclobutene.
No full textInternal molecular forces can guide chemical reactions, yet are not straightforwardly accessible within a quantum mechanical description of the reacting molecules. Here, we present a force-matching force distribution analysis (FM-FDA) to analyze internal forces in molecules. We simulated the ring opening of trans-3,4-dimethylcyclobutene (tDCB) with on-the-fly semiempirical molecular dynamics. The self-consistent density functional tight binding (SCC-DFTB) method accurately described the force-dependent ring-opening kinetics of tDCB, showing quantitative agreement with both experimental and computational data at higher levels. Mechanical force was applied in two different ways, namely, externally by a constant pulling force and internally by embedding tDCB within a strained macrocycle-containing stiff stilbene. We analyzed the distribution of tDCB internal forces in the two different cases by FM-FDA and found that external force gave rise to a symmetric force distribution in the cyclobutene ring, which also scaled linearly with the external force, indicating that the force distribution was uniquely determined by the symmetric architecture of tDCB. In contrast, internal forces due to stiff stilbene resulted in an asymmetric force distribution within tDCB, which indicated a different geometry of force application and supported the important role of linkers in the mechanochemical reactivity of tDCB. In addition, three coordinates were identified through which the distributed forces contributed most to rate acceleration. These coordinates are mostly parallel to the coordinate connecting the two CH3 termini of tDCB. Our results confirm previous observations that the linker outside of the reactive moiety, such as a stretched polymer or a macrocycle, affects its mechanochemical reactivity. We expect FM-FDA to be of wide use to understand and quantitatively predict mechanochemical reactivity, including the challenging cases of systems within strained macrocycles
The Man, The Boy, and The Donkey
No full textMSA is here told in Amharic. Our 79th language! The story is told in typical fashion, though the ending is surprising. There is no death of the donkey, nor is there a decision by the man. The last word goes to passersby who comment "You fools! Do you carry donkeys?" The moral is, in Google translate, "If you try to please everyone, you can please no one." Strong simple illustrations have the two walking through desert to Gebiya. 46 pages. 6" x 9".This is a hardbound book (hard cover)Language note: AmharicNo Autho
Sequential Neural Network Model with Spatial-Temporal Attention Mechanism for Robust Lane Detection Using Multi Continuous Image Frames
No full textLane detection serves as a fundamental task for automated vehicles and Advanced Driver Assistance Systems. However, current lane detection methods can not deliver the versatility of accurate, robust, and realtime compatible lane detection in real-world scenarios especially under challenging driving scenes. Available vision-based methods in the literature do not consider critical regions of the image and their spatial-temporal salience regarding the detection results, thus they deliver poor performance in peculiar difficult circumstances (e.g., serious occlusion, dazzle lighting). This study aims to introduce a novel sequential neural network model with a spatial-temporal attention mechanism that can focus on key features of lane lines and exploit salient spatial-temporal correlations among continuous image frames for the purpose of enhancing the accuracy and robustness of lane detection. Under the regular encoder-decoder structure and with the implementation using common neural network backbones, the proposed model is trained and evaluated on three large-scale opensource datasets. Extensive experiments demonstrate the strength and the robustness of the proposed model outperforming available state-of-the-art methods in various testing
Author Order and Research Quality
No full textSouthern Economic Journal © 2005 Southern Economic AssociationWe observe a great deal of heterogeneity in the manner in which author orderings are assigned both across and within academic markets. To better understand this phenomenon, we develop and analyze a stochastic model of author orderings. In our model, authors work equally hard to obtain priority in listings but final contributions are stochastic. Further, research outlets differ in their quality hurdles. In this setting, our simulation results are consistent with two empirical regularities. First, we find that the rate of alphabetization increases with the stringency with which papers are accepted for publication. Second, conditional on clearing the publication hurdle, quality increases with alphabetization. These findings arise because increases in the publication hurdle make it more likely that authors will exceed this threshold only when both contribute a high amount. This, in turn, leads to roughly equal contributions (alphabetization) and also generates a positive correlation between alphabetization and quality
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