ppxscal/embedding_network huggingface dataset:
Smooth and Nonsmooth Solutions of Several Equations of Mathematical Physics and Their Cellular Neural Network Realization
Authors: P. Popivanov, A. Slavova
Venue: Numerical Analysis and Its Applications: 4th International Conference, NAA 2008, Lozenetz, Bulgaria, June 16-20, 2008. Revised Selected Papers (2009)

This paper deals with travelling wave solutions of several equations of mathematical physics (Camassa-Holm and its generalizations, etc.) Under several conditions we propose a full classification of the corresponding solutions which can be smooth or nonsmooth at isolated points. This way we obtain peakons, compactons, cuspons, solitons, periodic waves. At the end of the paper Cellular Neural Networks realization is given.
Global optimization of expensive-to-evaluate functions: an empirical comparison of two sampling criteria
Authors: Julien Villemonteix, Emmanuel Vazquez, Maryan Sidorkiewicz, Eric Walter
Venue: Journal of Global Optimization (2009)

In many global optimization problems motivated by engineering applications, the number of function evaluations is severely limited by time or cost. To ensure that each of these evaluations usefully contributes to the localization of good candidates for the role of global minimizer, a stochastic model of the function can be built to conduct a sequential choice of evaluation points. Based on Gaussian processes and Kriging, the authors have recently introduced the informational approach to global optimization (IAGO) which provides a one-step optimal choice of evaluation points in terms of reduction of uncertainty on the location of the minimizers. To do so, the probability density of the minimizers is approximated using conditional simulations of the Gaussian process model behind Kriging. In this paper, an empirical comparison between the underlying sampling criterion called conditional minimizer entropy (CME) and the standard expected improvement sampling criterion (EI) is presented. Classical test functions are used as well as sample paths of the Gaussian model and an industrial application. They show the interest of the CME sampling criterion in terms of evaluation savings.
Energy Efficient Coarse-Grain Reconfigurable Array for Accelerating Digital Signal Processing
Authors: Marco Lanuzza, Stefania Perri, Pasquale Corsonello, Martin Margala
Venue: Integrated Circuit and System Design. Power and Timing Modeling, Optimization and Simulation: 18th International Workshop, PATMOS 2008, Lisbon, Portugal, September 10-12, 2008. Revised Selected Papers (2009)

In this paper, the architecture of a novel reconfigurable array, optimized for high-throughput and low-power Digital Signal Processing, is described. The proposed reconfigurable system consists of 2D array of homogeneous coarse-grain reconfigurable cells organized into a hierarchical two-level architecture. The system has been characterized for performing different DSP tasks. Comparison results demonstrate speedups up to 8X with energy efficiency improvement up to 58% over a state of the art FPGA.
Substring Statistics
Authors: Kyoji Umemura, Kenneth Church
Venue: Proceedings of the 10th International Conference on Computational Linguistics and Intelligent Text Processing (2009)

The goal of this work is to make it practical to compute corpus-based statistics for all substrings (ngrams). Anything you can do with words, we ought to be able to do with substrings. This paper will show how to compute many statistics of interest for all substrings (ngrams) in a large corpus. The method not only computes standard corpus frequency, freq, and document frequency, df, but generalizes naturally to compute, df k (str), the number of documents that mention the substring str at least k times. df k can be used to estimate the probability distribution of str across documents, as well as summary statistics of this distribution, e.g., mean, variance (and other moments), entropy and adaptation.
Review: Fibonacci sequence, golden section, Kalman filter and optimal control
Authors: A. Benavoli, L. Chisci, A. Farina
Venue: Signal Processing (2009)

A connection between the Kalman filter and the Fibonacci sequence is developed. More precisely it is shown that, for a scalar random walk system in which the two noise sources (process and measurement noise) have equal variance, the Kalman filter's estimate turns out to be a convex linear combination of the a priori estimate and of the measurements with coefficients suitably related to the Fibonacci numbers. It is also shown how, in this case, the steady-state Kalman gain as well as the predicted and filtered covariances are related to the golden ratio @f=(5+1)/2. Furthermore, it is shown that, for a generic scalar system, there exist values of its key parameters (i.e. system dynamics and ratio of process-to-measurement noise variances) for which the previous connection is preserved. Finally, by exploiting the duality principle between control and estimation, similar connections with the linear quadratic control problem are outlined.
Research on Optimizing Security Investment Combination Based on PSO
Authors: Zehong Li, Wei Ni
Venue: Proceedings of the 2009 Second International Workshop on Knowledge Discovery and Data Mining (2009)

Markowitz proposed the theory of asset portfolio via a mean-variance model for security investment combination in 1952. The issue of security investment is still challenging till now. Intelligence algorithms were flourishing in resent years. Particle Swarm Optimization (PSO) is inspired by social behavior of bird flocking or fish schooling. It is co-operative, population-based global search swarm intelligence meta-heuristics and is applied to solve the model. Based on the theory PSO algorithm mentioned above, a multi-factor and optimal model for portfolio investment in the condition of considering friction factors in China’s security market is established. Additionally, the model is implemented on the demonstrated research of the index stock of index 30, the result could provide scientific foundation for security investment.
Testing the equality of error distributions from k independent GARCH models
Authors: S. Ajay Chandra
Venue: Journal of Multivariate Analysis (2009)

In this paper we study the problem of testing the null hypothesis that errors from k independent parametrically specified generalized autoregressive conditional heteroskedasticity (GARCH) models have the same distribution versus a general alternative. First we establish the asymptotic validity of a class of linear test statistics derived from the k residual-based empirical distribution functions. A distinctive feature is that the asymptotic distribution of the test statistics involves terms depending on the distributions of errors and the parameters of the models, and weight functions providing the flexibility to choose scores for investigating power performance. A Monte Carlo study assesses the asymptotic performance in terms of empirical size and power of the three-sample test based on the Wilcoxon and Van der Waerden score generating functions in finite samples. The results demonstrate that the two proposed tests have overall reasonable size and their power is particularly high when the assumption of Gaussian errors is violated. As an illustrative example, the tests are applied to daily individual stock returns of the New York Stock Exchange data.
Motion Evaluation for Rehabilitation Training of the Disabled
Authors: Tae-young Kim, Jun Park, Cheol-Su Lim
Venue: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences (2008)

In this paper, a motion evaluation technique for rehabilitation training is introduced. Motion recognition technologies have been developed for determining matching motions in the training set. However, we need to measure how well and how much of the motion has been followed for training motion evaluation. We employed a Finite State Machine as a framework of motion evaluation. For similarity analysis, we used weighted angular value differences although any template matching algorithm may be used. For robustness under illumination changes, IR LED's and cameras with IR-pass filter were used. Developed technique was successfully used for rehabilitation training of the disabled. Therapists appraised the system as practically useful.
High-performance, cost-effective heterogeneous 3D FPGA architectures
Authors: Roto Le, Sherief Reda, R. Iris Bahar
Venue: Proceedings of the 19th ACM Great Lakes symposium on VLSI (2009)

In this paper, we propose novel architectural and design techniques for three-dimensional field-programmable gate arrays (3D FPGAs) with Through-Silicon Vias (TSVs). We develop a novel design partitioning methodology that maps the heterogeneous computational resources of an FPGA into a number of die such that the total die area is minimized and the FPGA performance is maximized. Minimizing the total die area leads to direct manufacturing cost savings which is an important incentive to bring 3D technology to the fab and onto the market. An estimation framework is developed to assess the impact of silicon area utilized by 3D interconnect resources while taking into account the large area occupied by TSVs which is crucial to total die area of 3D FPGAs. In order to improve area and performance of 3D FPGAs, we design a novel 3D switch box with bypass TSVs. We also analyze the impact of different partitioning strategies on die area and find the optimal number of die that gives the largest reductions in total die area while maximizing the performance. Using a well-developed simulation infrastructure, we show that our methodologies can achieve an average reduction of 27.7% in total die area with a reduced interconnect path delay of about 58%.
Modern Regression Methods, 2 edition
Authors: Thomas P. Ryan
Venue:  (2008)

This new edition of Regression Methods has been updated and enhanced to include all-new information on the latest advances and research in the evolving field of regression analysis. It provides a unique treatment of fundamental regression methods, such as diagnostics, transformations, robust regression, and ridge regression. Unifying key concepts and procedures, this new edition emphasizes applications to provide a more hands-on and comprehensive understanding of regression diagnostics.
Contact centres and identity theft
Authors: Iain Moir, George R. S. Weir
Venue: International Journal of Electronic Security and Digital Forensics (2009)

This article explores aspects of identity theft. In particular, we examine the contact centre environment as a mechanism in which identity theft may occur. In a survey of 45 contact centre workers in the Glasgow area, we determined that contact centres can and do provide a mechanism for identity theft. Specifically, we found a particularly high incidence of agents who had previously dealt with phone calls that they considered suspicious. Furthermore, there are agents within such environments who have previously been offered money in exchange for customers' details, or who know of fellow workers who have received such offers. Finally, we identify specific practices within contact centres that may contribute to the likelihood of identity theft.
Involving older people with dementia and their carers in designing computer based support systems: some methodological considerations
Authors: Arlene Astell, Norman Alm, Gary Gowans, Maggie Ellis, Richard Dye, Phillip Vaughan
Venue: Universal Access in the Information Society (2009)

Older people with dementia are a particularly challenging user group to involve in the process of designing interactive systems that could assist them. It may also be difficult to involve family caregivers of people with dementia, as they are most likely to be older themselves and uncertain about technology. Paid care staff, whilst younger, may be unclear about the benefits of technology and lack confidence in their ability to incorporate it into their work. Over the past 7&#x00a0;years, the authors of this paper have worked closely with people with dementia, their families and professional care staff to develop and evaluate a multimedia computer system to support communication between people with dementia and caregivers. To achieve this, a number of user involvement issues were addressed, ranging from legal and ethical considerations of working with people with dementia to the reluctance of hard-pressed staff to add to their workload for a research project. In addition, developing and conducting evaluations and eliciting the views of people with dementia who have working memory impairment plus additional cognitive and social difficulties emerged as a central issue. A variety of approaches were explored within this project, which are described in this paper, including familiarizing the whole team with the unique difficulties posed by dementia, continuous confirmation of participants&#x2019; consent, and ways to measure enjoyment, engagement, and joint interaction using observation.
An Adaptive and Efficient MAC Protocol for Wireless Mesh Networks: An Extension of Maca-P
Authors: Md. Mashud Rana, Khandakar Entenam Unayes Ahmed, Raiyan Karim, Hasan Mohammod Tareque, Md. Imranul Hasan
Venue: Proceedings of the 2009 International Conference on Computer Engineering and Technology - Volume 02 (2009)

Recently, Wireless Mesh Network (WMN) has emerged as a key technology for next generation wireless networking. However, a key challenge in WMN is the need for finding out an effective and adaptive MAC protocol so that frames can be transferred in mesh based environment which is different from typical wireless network. The performance of wireless networks depends highly on how the Medium Access Control (MAC) protocol is designed, since MAC protocols directly decide how the limited wireless resources are shared among existing nodes. The existing MAC protocol in IEEE 802.11 WLANs is not suitable for use in multi-hop networks. The MAC for WMN is concerned with more than one hop communications; is distributed and cooperative, and works for multipoint-to multipoint communications. Network self-organization is needed for the MAC. The major objective of this paper is to find out an effective solution to the existing problems in current MAC protocols and thus bring it into an efficient and adaptive form so that it can be used in Wireless Mesh Networks. Effort was placed on to modify the modern concept of parallel transmission which is thought to be the best fit for use in WMN. Modifications to the already existing MACA-P (Medium Access via Collision Avoidance with Enhanced Parallelism) protocol were done and thus newer suggestions were made in order to make it adaptive and efficient, and to achieve flexibility and effectiveness.
Advanced office systems: an empirical look at use and satisfaction
Authors: T. K. Bikson, B. A. Gutek
Venue: Proceedings of the May 16-19, 1983, national computer conference (1983)

Preliminary research findings from a study of advanced office systems in varied user contexts are summarized here. The research, funded by the National Science Foundation Productivity Improvement Research Section, is intended to determine how information technology is successfully incorporated into white-collar work. Participating in the study were 55 offices. They ranged in size from four to 37 employees and represented 26 different organizations that ranged in size from a total of eight employees to multinational operations. The data reported here come from questionnaires administered to 530 employees in the 55 offices. Findings reported here address several issues relevant to implementing advanced office systems: (1) White-collar office employees can be classified into four types: management and administration, data-oriented professionals, text-oriented professionals, and support staff. (2) White-collar work forms a systematic cluster of information-handling activities, some of which are performed by nearly everyone in the office. (3) A large percentage of employees, including senior managers and professionals, already use computers in their work; and most nonusers expect to use them in the near future. (4) Four aspects of computer systems underlie user satisfaction: functionality, equipment performance, interaction features, and office environments. (5) Satisfaction with functionality is the best predictor of use of the system. (6) The most important organizational influences on use of and satisfaction with information technology are variety in work and the organization's approach to technological change.
An evolutionary-based decision support system for vehicle routing: The case of a public utility
Authors: Jorge E. Mendoza, Andrés L. Medaglia, Nubia Velasco
Venue: Decision Support Systems (2009)

Customer-related processes in a public utility, such as meter replacement programs, demand a large number of auditing visits to customer sites. The proposed decision support system (DSS) helps the operating manager to plan these visits by integrating commercial systems such as SAP/R3 and ArcGIS with a custom-made distance-constrained routing module. This module includes a modified Clarke and Wright savings heuristic and two memetic algorithms, along with two integer-programming clustering models whose function is to balance the workload. The system was tested on ten real-world distance-constrained vehicle routing instances ranging from 323 to 601 nodes.
LID Assignment in InfiniBand Networks
Authors: Wickus Nienaber, Xin Yuan, Zhenhai Duan
Venue: IEEE Transactions on Parallel and Distributed Systems (2009)

To realize a path in an InfiniBand network, an address, known as Local IDentifier (LID) in the InfiniBand specification, must be assigned to the destination of the path and used in the forwarding tables of intermediate switches to direct the traffic following the path. Hence, routing in InfiniBand has two components: (1) computing all paths, and (2) assigning LIDs to destinations and using them in intermediate switches to realize the paths. We refer to the task of computing paths as path computation and the task of assigning LIDs as LID assignment. This paper focuses on the LID assignment component, whose major issue is to minimize the number of LIDs required to support a given set of paths. We prove that the problem of realizing a given set of paths with a minimum number of LIDs is NP-complete, develop an integer linear programming formulation for this problem, design a number of heuristics that are effective and efficient in practical cases, and evaluate the performance of the heuristics through simulation. The experimental results indicate that the performance of our best performing heuristic is very close to optimal.
Difference sets with n = 5 pr
Authors: Tao Feng
Venue: Designs, Codes and Cryptography (2009)

Let D be a (v, k, &lambda;)-difference set in an abelian group G, and (v, 31) = 1. If n = 5p r with p a prime not dividing v and r a positive integer, then p is a multiplier of D. In the case 31|v, we get restrictions on the parameters of such difference sets D for which p may not be a multiplier.
Parameterized Complexity of Stabbing Rectangles and Squares in the Plane
Authors: Michael Dom, Michael R. Fellows, Frances A. Rosamond
Venue: Proceedings of the 3rd International Workshop on Algorithms and Computation (2009)

The NP-complete geometric covering problem Rectangle Stabbing is defined as follows: Given a set of horizontal and vertical lines in the plane, a set of rectangles in the plane, and a positive integer k, select at most k of the lines such that every rectangle is intersected by at least one of the selected lines.While it is known that the problem can be approximated in polynomial time with a factor of two, its parameterized complexity with respect to the parameter k was open so far--only its generalization to three or more dimensions was known to be W[1]-hard. Giving two fixed-parameter reductions, one from the W[1]-complete problem Multicolored Clique and one to the W[1]-complete problem Short Turing Machine Acceptance, we prove that Rectangle Stabbing is W[1]-complete with respect to the parameter k, which in particular means that there is no hope for fixed-parameter tractability with respect to the parameter k. Our reductions show also the W[1]-completeness of the more general problem Set Cover on instances that "almost have the consecutive-ones property", that is, on instances whose matrix representation has at most two blocks of 1s per row.For the special case of Rectangle Stabbing where all rectangles are squares of the same size we can also show W[1]-hardness, while the parameterized complexity of the special case where the input consists of rectangles that do not overlap is open. By giving an algorithm running in (4k + 1) k ·n O(1) time, we show that Rectangle Stabbing is fixed-parameter tractable in the still NP-hard case where both these restrictions apply.
Simulation of interface dynamics: a diffuse-interface model
Authors: R&#x00fc;yam Acar
Venue: The Visual Computer: International Journal of Computer Graphics (2009)

Interface modeling involves surface tension effects and topological transitions such as breakup and coalescence. In order to simulate the dynamics of interfaces as well as phase transitions, we introduce diffuse-interface modeling. This model describes the interface evolution with a high-order diffusion equation based on the van der Waals&#x2013;Cahn&#x2013;Hilliard theory of interfaces. Thus, unlike other methods proposed in graphics, phase dynamics is derived from interface physics regardless of the numerical solution. Small-scale interfacial events and phase transitions develop naturally as a result of the Cahn&#x2013;Hilliard equation. With the fast, stable and conservative spectral method we used and also due to the characteristics of the diffuse-interface description, the numerical method does not suffer from oscillations or other difficulties caused by interface singularities, which could be very problematic in other interface methods, and numerical diffusion and mass loss are minimized. Besides, the implementation is simple and practical. This model also allows the control of interface features, such as thickness and mobility. The Cahn&#x2013;Hilliard equation can be coupled with the Navier&#x2013;Stokes equations to model the surface tension force in fluid equations at the macroscopic level. More importantly, the interface dynamics that uses a free-energy function provides the flexibility and versatility of modeling complex material behaviors simply by designing an appropriate free-energy functional. In this way, we modeled certain elastic behaviors and multicomponent phase evolutions, which could be computationally complex in other methods.
Modeling of Rainfall Prediction over Myanmar Using Polynomial Regression
Authors: Wint Thida Zaw, Thinn Thu Naing
Venue: Proceedings of the 2009 International Conference on Computer Engineering and Technology - Volume 01 (2009)

Myanmar is an agricultural country and its economy is largely based upon crop productivity. The occurrence of extreme precipitation variability may lead to significantly reduce crop yields and extensive crop losses. Thus, rainfall prediction becomes an important issue in Myanmar. Regression has since long been a major data analytic tool in many scientific such as behavioral sciences, social sciences, biological sciences, medical sciences, psychometrics and econometrics for predicting. Multivariables polynomial regression (MPR) is one of the statistical regression method used to describe complex nonlinear input output relationships. In this paper, MPR is applied to implement the precipitation forecast model over Myanmar. Myanmar receives its annual rainfall during the summer monsoon season which starts in June and end in September. The model output result is station wide monthly and annual rainfall amount during summer monsoon season. The proposed model results are compared with the result produced by multiple linear regression model (MLR). From the experimental results, it is observed that using MPR method achieves closer agreement between actual and estimated rainfall than using MLR.