ppxscal/embedding_network huggingface dataset:
An Efficient Underwater Video Compression Algorithm for Underwater Acoustic Channel Transmission
Authors: Qing-zhong Li, Bing Wang, Wen-jin Wang, Xiao-ling Geng
Venue: Proceedings of the 2009 WRI International Conference on Communications and Mobile Computing - Volume 02 (2009)

This paper presents an efficient underwater video-coding algorithm suitable for the purpose of underwater acoustic channel transmission. The algorithm mainly consists of three modules, namely preprocessing of underwater images, global motion estimation, and hybrid global-local motion compensation. A wavelet transform based preprocessing approach is employed to effectively reduce the visual redundancy of underwater images. Global motion transform between neighboring frames are estimated by using a fast and robust feature-point based algorithm. Then a hybrid global-local motion compensation scheme is proposed to reduce the temporal redundancy of video sequences. The experimental results show that while maintaining the acceptable perceptual quality of reconstructed images, the proposed algorithm can provide high coding efficiency, especially applying to sea floor video compression and transmission at very low bit rates to meet the limited bandwidth requirement of underwater acoustic channels.
Control Modeling for Accelerator Leg of Robot Driver
Authors: Zhigang Niu, Yunping Sun
Venue: Proceedings of the 2009 International Asia Conference on Informatics in Control, Automation and Robotics (2009)

The dynamic physics rule mathematical model of accelerator leg is established, thus, the transfer function of control system is obtained. PID control method is used to design system controller. The critical proportioning method is used to determine the initial parameters of PID controller. SIMULINK is used to simulate the control system based on the initial installed parameters. The parameters of the PID controller are further adjusted according to the simulation results.
GIS Based Ecomapping of Industries A Potential Tool for Environmental Performance Analysis and Optimization
Authors: Baskar Ganeshkumar, R. Gobinath, N. Mahendran
Venue: Proceedings of the 2009 International Conference on Computer Engineering and Technology - Volume 02 (2009)

Sustainable development is widely practiced by many engineers, academicians and policy makers for making the industries environmental friendly, to obtain sustainability in any industry there are many methods. Resources utilized in an industry should be identified properly in various processes and its utilization is to be optimized to increase the environmental performance of the industry. Ecomapping is a visual, simple and practical tool to analyze, manage, and communicate the environmental performance of industries in developing economies. Ecomapping is creative and helps small SME’s to implement environmental management systems like ISO 140001 and EMAS. Ecomap if properly employed will increase the sustainability of the industries and also helps in reducing the resource utilization and enhances the productivity. Even though the Ecomapping can be done manually, using GIS will enhance the productivity, enables clear detailing of resource identification and mapping. This paper provides an insight into Ecomapping, its advantages, preparing ecomap for an industry using GIS.
Alternative prior assumptions for improving the performance of naïve Bayesian classifiers
Authors: Tzu-Tsung Wong
Venue: Data Mining and Knowledge Discovery (2009)

The prior distribution of an attribute in a naïve Bayesian classifier is typically assumed to be a Dirichlet distribution, and this is called the Dirichlet assumption. The variables in a Dirichlet random vector can never be positively correlated and must have the same confidence level as measured by normalized variance. Both the generalized Dirichlet and the Liouville distributions include the Dirichlet distribution as a special case. These two multivariate distributions, also defined on the unit simplex, are employed to investigate the impact of the Dirichlet assumption in naïve Bayesian classifiers. We propose methods to construct appropriate generalized Dirichlet and Liouville priors for naïve Bayesian classifiers. Our experimental results on 18 data sets reveal that the generalized Dirichlet distribution has the best performance among the three distribution families. Not only is the Dirichlet assumption inappropriate, but also forcing the variables in a prior to be all positively correlated can deteriorate the performance of the naïve Bayesian classifier.
QPME: a performance modeling tool based on queueing Petri Nets
Authors: Samuel Kounev, Christofer Dutz
Venue: ACM SIGMETRICS Performance Evaluation Review (2009)

Queueing Petri nets are a powerful formalism that can be exploited for modeling distributed systems and analyzing their performance and scalability. By combining the modeling power and expressiveness of queueing networks and stochastic Petri nets, queueing Petri nets provide a number of advantages. In this paper, we present QPME (Queueing Petri net Modeling Environment) - a tool that supports the modeling and analysis of systems using queueing Petri nets. QPME provides an Eclipse-based editor for designing queueing Petri net models and a powerful simulation engine for analyzing the models. After presenting the tool, we discuss the ongoing work on the QPME project and the planned future enhancements of the tool.
Corrigendum: The cover time of the giant component of a random graph, Random Structures and Algorithms 32 (2008), 401&ndash;439
Authors: Colin Cooper, Alan Frieze
Venue: Random Structures Algorithms (2009)

The above paper gives an asymptotically precise estimate of the cover time of the giant component of a sparse random graph. The proof as it stands is not tight enough, and in particular, Eq. (64) is not strong enough to prove (65). The o(1) term in (64) needs to be improved to o(1-(lnn)2) for (65) to follow. The following section, which replaces Section 3.6, amends this oversight. The notation and definitions are from the paper. A further correction is needed. Property P2 claims that the conductance of the giant is whp, &Omega;(1-lnn). The proof of P2 in the appendix of the paper is not quite complete. A complete proof of Property P2 can be found in [1,2]. &copy; 2008 Wiley Periodicals, Inc. Random Struct. Alg., 2009
Modeling Marginal Distributions of Gabor Coefficients: Application to Biometric Template Reduction
Authors: Daniel González-Jiménez, José Luis Alba-Castro
Venue: Biometrics and Identity Management: First European Workshop, BIOID 2008, Roskilde, Denmark, May 7-9, 2008. Revised Selected Papers (2008)

Gabor filters have demonstrated their effectiveness in automatic face recognition. However, one drawback of Gabor-based face representations is the huge amount of data that must be stored. One way to reduce space is to quantize Gabor coefficients using an accurate statistical model which should reflect the behavior of the data. Statistical image analysis has revealed one interesting property: the non-Gaussianity of marginal statistics when observed in a transformed domain (like Discrete Cosine Transform, wavelet decomposition, etc.). Two models that have been used to characterize this non-normal behavior are the Generalized Gaussian (GG) and the Bessel K Form densities. This paper provides an empirical comparison of both statistical models in the specific scenario of modeling Gabor coefficients extracted from face images. Moreover, an application for biometric template reduction is presented: based on the underlying statistics, compression is first achieved via Lloyd-Max algorithm. Afterwards, only the best nodes of the grid are preserved using a simple feature selection strategy. Templates are reduced to less than 2 Kbytes with drastical improvements in performance, as demonstrated on the XM2VTS database.
Design of UV-photosensitive highly dispersive photonic crystal fiber
Authors: Berger Perrine, Kaba Myriam, Nam Quoc Ngo, Li Xia, Xia Yu, Ping Shum, Chazelas Jean, Dolfi Daniel, Huignard Jean-Pierre
Venue: Proceedings of the 2008 International Conference on Advanced Infocomm Technology (2008)

A design of UV-photosensitive highly dispersive photonic crystal fiber is proposed in this paper, in order to be used in slowlight experiments to generate large true time delays. A dispersion greater than 2000ps/nm/km over 3.5nm (up to 10800ps/nm/km) have been achieved near 1550nm.
A Two-Grid Algorithm for Solution of the Difference Equations of a System of Singularly Perturbed Semilinear Equations
Authors: L. G. Vulkov, A. I. Zadorin
Venue: Numerical Analysis and Its Applications: 4th International Conference, NAA 2008, Lozenetz, Bulgaria, June 16-20, 2008. Revised Selected Papers (2009)

We propose a two-grid algorithm for implementation of a generalized A.M.Il'in's scheme to a system of semilinear diffusion convection-dominated equations. To solve the nonlinear algebraic system of difference equations we use Newton method. We derive the difference scheme on a coarse mesh and, then using uniform interpolation, taking into account the boundary layers, we obtain the initial guess for an iterative method on a fine mesh. Estimates of the accuracy and the computational work are obtained. The main advantage of the proposed algorithm is the computational cost.
High speed semiconductor fab simulation for large, medium and small lot sizes
Authors: Peter C. Bosch, Robert L. Wright
Venue: Proceedings of the 40th Conference on Winter Simulation (2008)

This paper describes an analysis performed to assess the fidelity, scalability, and performance of the Sage(©) Fab Advisor&trade; semiconductor fab simulation engine executing two years of fab operations across a range of lot sizes. We describe the demand and fab operations models used, as well as the tools and methodology used in conducting the analysis. Our results were validated against a well-known model running on a well-known toolset, showing performance to be very competitive with that model. Further, we show that our engine's performance, running this model, scales almost linearly from 25 wafer lot sizes down to single wafer lot sizes. That is, simulation time increases roughly linearly with respect to the number of lots being processed.
Novel interface for first person shooting games on PDAs
Authors: Chen Wei, Gary Marsden, James Gain
Venue: Proceedings of the 20th Australasian Conference on Computer-Human Interaction: Designing for Habitus and Habitat (2008)

This paper explores novel interfaces for First Person Shooting (FPS) games on Personal Digital Assistant (PDA) devices. We describe a new approach inspired by a study of the interaction patterns used in desktop FPS games. Intelligent gesture recognition, based on these patterns, is used to create an optimal implementation of basic game functions (i.e., jump, shoot, walk forward). This new interaction system is evaluated through a prototype 3D FPS game. We believe the newly designed interface more adequately leverages the interaction capabilities of current PDAs, to better solve the problem of rapidly and accurately executing a large number of gaming commands.
Inducing Polygons of Line Arrangements
Authors: Ludmila Scharf, Marc Scherfenberg
Venue: Proceedings of the 19th International Symposium on Algorithms and Computation (2008)

We show that an arrangement $\mathcal{A}$ of n lines in general position in the plane has an inducing polygon of size O(n). Additionally, we present a simple algorithm for finding an inducing n-path for $\mathcal {A}$ in O(nlogn) time and an algorithm that constructs an inducing n-gon for a special class of line arrangements within the same time bound.
The power of suggestion: teaching sequences through assistive robot motions
Authors: Ross Mead, Maja J. Matarić
Venue: Proceedings of the 4th ACM/IEEE international conference on Human robot interaction (2009)

We present a preliminary implementation of a robot within the context of social skills intervention. The robot engages a human user in an interactive and adaptive game-playing session that emphasizes a specific sequence of movements over time. Such games highlight joint attention and encourage forms of interaction that are useful within various assistive domains. Noteworthy robot activities include those that could be used to promote social cues in children with autism, sequences that maintain or improve memory in Alzheimer's patients, and movements that encourage exercises to increase range of motion in post-stroke rehabilitation.
Throughput-response measurements in a distributed CAD/CAM processing network
Authors: J. R. Rao, W. L. Hanna
Venue: Proceedings of the May 4-7, 1981, national computer conference (1981)

A methodology for monitoring response and throughput of a distributed graphics CAD/CAM processing network is presented. The hardware and software components of distributed processing include intelligent graphics terminals, remote minicomputers, high speed communication processing, host processor, and auxiliary storage devices. Software functions consist of loading and executing CAD/CAM applications such as computer aided design, computer aided quality assurance, etc. The response and throughput are measured in terms of completed graphics functions, which may be as trivial as generating a point and as complex as retrieving a drawing from a disk file. The graphics system response performance has been a critical consideration for its status as a cost-effective design tool. The data gathering facility discussed in this article has been used quite effectively in production for evaluating the impact of hardware and software changes. As of December 1980, the distributed graphics system at the McDonnell Douglas Corporation-St. Louis, consists of approximately 70 3-D graphics terminals, 11 remote processing systems and 5 front-end processors. A sample illustration of the measured data is presented in this article.
Variational Methods in Imaging, 1 edition
Authors: Otmar Scherzer, Markus Grasmair, Harald Grossauer, Markus Haltmeier, Frank Lenzen
Venue: Applied Mathematical Sciences (2008)

This book is devoted to the study of variational methods in imaging. The presentation is mathematically rigorous and covers a detailed treatment of the approach from an inverse problems point of view. Key Features: - Introduces variational methods with motivation from the deterministic, geometric, and stochastic point of view - Bridges the gap between regularization theory in image analysis and in inverse problems - Presents case examples in imaging to illustrate the use of variational methods e.g. denoising, thermoacoustics, computerized tomography - Discusses link between non-convex calculus of variations, morphological analysis, and level set methods - Analyses variational methods containing classical analysis of variational methods, modern analysis such as G-norm properties, and non-convex calculus of variations - Uses numerical examples to enhance the theory This book is geared towards graduate students and researchers in applied mathematics. It can serve as a main text for graduate courses in image processing and inverse problems or as a supplemental text for courses on regularization. Researchers and computer scientists in the area of imaging science will also find this book useful.
Extreme value theory for stochastic integrals of Legendre polynomials
Authors: Alexander Aue, Lajos Horváth, Marie Hušková
Venue: Journal of Multivariate Analysis (2009)

We study in this paper the extremal behavior of stochastic integrals of Legendre polynomial transforms with respect to Brownian motion. As the main results, we obtain the exact tail behavior of the supremum of these integrals taken over intervals [0,h] with h>0 fixed, and the limiting distribution of the supremum on intervals [0,T] as T->~. We show further how this limit distribution is connected to the asymptotic of the maximally selected quasi-likelihood procedure that is used to detect changes at an unknown time in polynomial regression models. In an application to global near-surface temperatures, we demonstrate that the limit results presented in this paper perform well for real data sets.
Visual interactive environment for doing geometrical constructions
Authors: Anca Iordan, George Savii, Manuela Panoiu, Caius Panoiu
Venue: WSEAS Transactions on Computers (2009)

In this work will be presented the elaboration of an educational informatics system for doing geometry on a computer. In a way it replaces pencil, paper, ruler and compass with equivalent computer tools. The achieved informatics system will be able to be used for teachning Euclidean geometry, both in preuniversity and in university education.
Keep Right
Authors: Sunwoo Yang
Venue: ACM SIGGRAPH ASIA 2008 computer animation festival (2008)

Sunoki suffers paranoia from following all the instructions on the sign posts and manuals. He even recognises pictograms, but the world is revealed to be very confused and full of immoral conduct and disorders.
Applications of fuzzy languages and pictorial databases to decision support systems design
Authors: Edward T. Lee
Venue: Proceedings of the May 16-19, 1983, national computer conference (1983)

The pioneering work of D. T. Lee in developing an approach with major emphasis on database development has had a profound influence on the recent development of decision support systems, as well as on office information systems, database systems, and database machines. This database development approach is a new and powerful approach to decision support systems design methodologies. In this paper the concepts of fuzzy languages and pictorial databases are applied to decision support systems design methodologies. First, fuzzy languages, fuzzy grammars, the classification of fuzzy grammars, derivation chain, degree of acceptance, and equivalence are defined. Operations like intersection, concatenation, Kleene closure, complement, and cardinality are also defined. Second, algebraic representation of the production system is presented and illustrated by examples. The difference between null string and the empty set of string is illustrated. Third, decision support systems involving geometric figures, chromosome images or leukocyte images are presented as illustrative examples. In similarity retrieval from a pictorial database, very often it is desired to find pictures (or feature vectors, histograms, etc.) that are most similar to or most dissimilar to a test picture (or feature vector). Using similarity measures, one can not only store similar pictures logically or physically close to each other to improve retrieval or updating efficiency, one can also use such similarity measures to answer fuzzy queries involving nonexact retrieval conditions. The applications of fuzzy languages and pictorial databases to decision support systems design methodologies offer what appears to be a fertile field for further study. The underlying ideas are interesting and easy for practical application. The results have useful applications in decision support systems, pattern recognition, pictorial information systems, and artificial intelligence.
Double patterning technology friendly detailed routing
Authors: Minsik Cho, Yongchan Ban, David Z. Pan
Venue: Proceedings of the 2008 IEEE/ACM International Conference on Computer-Aided Design (2008)

Double patterning technology (DPT) is a most likely lithography solution for 32/22nm technology nodes as of 2008 due to the delay of Extreme Ultra Violet lithography. However, it should hurdle two challenges before being introduced to mass production, layout decomposition and overlay error. In this paper, we present the first detailed routing algorithm for DPT to improve layout decomposability and robustness against overlay error, by minimizing indecomposable wirelength and the number of stitches. Experimental results show that the proposed approach improves the quality of layout significantly in terms of decomposability and the number of stitches with 3.6x speedup, compared with a current industrial DPT design flow.
Fractional weak discrepancy and interval orders
Authors: Alan Shuchat, Randy Shull, Ann N. Trenk
Venue: Discrete Applied Mathematics (2009)

The fractional weak discrepancywd"F(P) of a poset P=(V,@?) was introduced in [A. Shuchat, R. Shull, A. Trenk, The fractional weak discrepancy of a partially ordered set, Discrete Applied Mathematics 155 (2007) 2227-2235] as the minimum nonnegative k for which there exists a function f:V->R satisfying (i) if a@?b then f(a)+1@?f(b) and (ii) if a@?b then |f(a)-f(b)|@?k. In this paper we generalize results in [A. Shuchat, R. Shull, A. Trenk, Range of the fractional weak discrepancy function, ORDER 23 (2006) 51-63; A. Shuchat, R. Shull, A. Trenk, Fractional weak discrepancy of posets and certain forbidden configurations, in: S.J. Brams, W.V. Gehrlein, F.S. Roberts (Eds.), The Mathematics of Preference, Choice, and Order: Essays in Honor of Peter C. Fishburn, Springer, New York, 2009, pp. 291-302] on the range of the wd"F function for semiorders (interval orders with no induced 3+1) to interval orders with no n+1, where n>=3. In particular, we prove that the range for such posets P is the set of rationals that can be written as r/s, where 0@?s-1@?r=2, for each r satisfying s-1@?r@?(n-2)(s-1) there is an interval order having such an optimal forcing cycle and containing non+1.
Implementation and analysis of stream ciphers based on the elliptic curves
Authors: P. P. Deepthi, V. S. Nithin, P. S. Sathidevi
Venue: Computers and Electrical Engineering (2009)

In this paper, implementation and analysis of three different versions of pseudorandom bit generators (PRBG) based on elliptic curves over prime and binary fields is presented. Implementations are carried out so that the algorithms could be compared in terms of time complexity and sequences could be compared in terms of periodicity, since the periodicity of all the generated streams are not available in literature. Based on the results of implementation and analysis, the pseudorandom bit generators (PRBG) most suitable for software and hardware realisations of stream cipher are identified. The software implementations of PRBG are carried out using Mathematica and the implementations in VHDL are done using the Altera Quartus IIv6.0 simulation software. The Montgomery's point multiplication method has also been discussed and implemented for comparison with the conventional point multiplication algorithm. Together with this, faster software algorithms for field inversion and point counting are discussed.
Research regarding the improvement of the methodology and means used for the balancing by weighting of bucket wheel excavators
Authors: Marin Silviu Nan, Iosif Kovacs, Florin Dumitru Popescu
Venue: Proceedings of the 8th conference on Simulation, modelling and optimization (2008)

The problem, on which emphasis is laid, is how to maintain the stability and equilibrium of bucket wheel excavators or any other extraction machinery during operation, the main machinery of a technological extracting system employed for coal mining. The balance survey, respectively that of the stability of these machineries is compulsory because the bearing surface is rather small compared to the other building sub-systems outside the range of the surface, onto which much higher forces operate. The lack of correct balance for bucket wheel excavators determines their operation in an inadequate dynamic mode, or in extreme cases, there is the danger of losing stability by tilting over the excavator respectively suffering huge material and human loss. It is compulsory to verify for the correctness of the position and mass value of balance because there might be substantial error sources leading to compromise the operation. One of the most popular methods is that of weighting the entire equipment from the superior platform of the excavator.