ppxscal/embedding_network huggingface dataset:
An efficient model order selection for PCA mixture model
Authors: Hyun-Chul Kim, Daijin Kim, Sung Yang Bang
Venue: Pattern Recognition Letters (2003)

This paper proposes a fast and sub-optimal selection method of model order such as the number of mixture components and the number of PCA bases for the PCA mixture model, consisting of a combination of many PCAs. Once the model order is determined, the parameters of the model can be easily estimated by the expectation maximization (EM) learning using the decorrelatedness of feature data in the PCA transformed space. The conventional model order selection method takes a long processing time because it requires to perform the time-consuming EM learning over all possible model orders. We try to simplify the model order selection method as follows. First, the time-consuming EM learning over the training data set has been performed once for a given number of mixture components, with all PCA bases kept. Second, in virtue of ordering property of PCA bases, the evaluation step to measure the fitness of model selection criterion over the validation data set has been performed sequentially by pruning less significant PCA base one by one, starting from the most insignificant PCA base. A pair of the number of mixture components and PCA bases that satisfies the model selection criterion fully is selected as the optimal model order for the given problem. Simulation results of the synthetic data classification and a practical problem of alphabet recognition show that the proposed model selection method determines the model order appropriately and improves the classification and detection performances.
A Data Envelopment Analysis of the Operational Efficiency of Bank Branches
Authors: B. Golany, J. E. Storbeck
Venue: Interfaces (1999)

We performed a multiperiod data envelopment analysis (DEA) study of the efficiencies of selected branches of a large US bank (which we will call Big Bank) over six consecutive quarters (second quarter of 1992 to the third quarter of 1993). We developed a number of innovative application tools, including budgeting and target-setting modules, within a DEA framework that we subsequently customized for Big Bank. Within the performance-evaluation framework, we developed the ability to identify different potential groupings of branches that supported the multiple user views of the system. We also developed procedures to evaluate trends over time and differences in performance across user-defined aggregations of branches. We paid attention to the interface with the end users and, in particular, developed presentation tools to make the outcomes of the analysis available to managers at different levels of the bank.
Independent multiresolution component analysis and matching pursuit
Authors: Enrico Capobianco
Venue: Computational Statistics Data Analysis (2003)

I present a statistical model to allow inferences about a volatility process that does not rely on parametric assumptions and uses algorithms that decompose the observed signals with overcomplete dictionaries of functions. By combining multiresolution approximation and Independent Component analysis, we increase the detection power of important volatility features in non-stationary latent variable systems. The computational learning machine is based on the Matching Pursuit algorithm, whose performance is monitored through the residual sequence used to extract information about the volatility structure. I employ wavelet packets because they have high localization power and represent overcomplete dictionaries. Beyond improved characterization of the volatility process, the proposed methods achieve a near-optimal trade-off between both time-and frequency-resolution pursuit.
AURORA: an air quality model for urban regions using an optimal resolution approach
Authors: C. Mensink, K. De Ridder, N. Lewyckyj, F. Lefebre, L. Janssen, J. Cornelis, S. Adriaensen, M. Ruts
Venue: Development and application of computer techniques to environmental studies (2002)

For the assessment of air quality in cities, we developed an integrated model system, known as AURORA (Air quality modelling in Urban Regions using an Optimal Resolution Approach). This urban air quality management system has been designed for urban and regional policy support and reflects the state-of-the-art in air quality modelling, using fast and advanced numerical techniques. Modules for meteorological input data, emissions, advection, diffusion and chemistry have been designed, tested and coupled through a user interface. The model system is implemented in the cities Antwerp and Hasselt (B) and is being applied in various EU 5th framework projects (BUGS, DECADE).
Optimal Control with State Constraints and the Space Shuttle Re-entry Problem
Authors: B. Bonnard, L. Faubourg, G. Launay, E. Trélat
Venue: Journal of Dynamical and Control Systems (2003)

In this article, we initialize the analysis under generic assumptions of the small time optimal synthesis for single input systems with state constraints. We use geometric methods to evaluate the small time reachable set and necessary optimality conditions. Our work is motivated by the optimal control of the atmospheric arc for the re-entry of a space shuttle, where the vehicle is subject to constraints on the thermal flux and on the normal acceleration. A multiple shooting technique is finally applied to the computation of the optimal longitudinal arc.
VLAM-G: a grid-based virtual laboratory
Authors: Adam S. Z. Belloum, David L. Groep, Zeger W. Hendrikse, Bob L. O. Hertzberger, Vladimir Korkhov, Cees T. A. M. de Laat, Dmitry Vasunin
Venue: Future Generation Computer Systems (2003)

The Grid-based Virtual Laboratory AMsterdam (VLAM-G) provides a science portal for distributed analysis in applied scientific research. By facilitating access to distributed compute and information resources held by multiple organizations, and providing remote experiment control, data management and information retrieval capabilities, it allows scientists to better analyze their data. The ability to use data from multiple sources and correlating these data sets without in-depth domain expertise is a prime goal of the system. This paper describes the design and an implementation prototype of the VLAMG platform. The feasibility of the system is demonstrated by a generalized sample scenario from the chemo-physical analysis domain.
Research Report: Empirical Test of an EDI Adoption Model
Authors: Paul Chwelos, Izak Benbasat, Albert S. Dexter
Venue: Information Systems Research (2001)

This paper is the first test of a parsimonious model that posits three factors as determinants of the adoption of electronic data interchange (EDI):readiness, perceived benefits, andexternal pressure. To construct the model, we identified and organized the factors that were found to be influential in prior EDI research. By testing all these factors together in one model, we are able to investigate their relative contributions to EDI adoption decisions. Senior purchasing managers, chosen for their experience with EDI and proximity to the EDI adoption decision, were surveyed and their responses analyzed using structural equation modeling. All three determinants were found to be significant predictors of intent to adopt EDI, with external pressure and readiness being considerably more important than perceived benefits. We show that the constructs in this model can be categorized into three levels:technological, organizational, andinterorganizational. We hypothesize that these categories of influence will also be determinants of the adoption of other emerging forms of interorganizational systems (IOS). 1
Infinite solutions of marked post correspondence problem
Authors: Vesa Halava, Tero Harju
Venue: Formal and natural computing (2002)

In an instance of the Post Correspondence Problem we are given two morphisms h, g: A* → B*. Here we prove that if the morphisms are marked, then it is decidable whether the instance has an infinite solution, i.e., whether or not there exists an infinite word ω such that h and g are comparable for all prefixes of ω. This problem is known to be undecidable in general for Post Correspondence Problem.
A new class of analytic functions with negative coefficients
Authors: Halit Orhan
Venue: Applied Mathematics and Computation (2003)

A subclass Pγ(n,λ,α,r) of analytic functions in the unit disc is introduced. The object of the present paper is to show some properties of functions belonging to the class Pγ(n,λ,α,r). Further, the distortion inequalities for fractional calculus of functions in Pγ(n,λ,α,r) are given.
Design of Takagi-Sugeno controllers using piecewise constant functions and a normalized fuzzification transform
Authors: Felipe Fernández, Julio Gutiérrez
Venue: Technologies for constructing intelligent systems: tools (2002)

Takagi-Sugeno fuzzy controllers are today one of the most promising technique to describe input-output relations of nonlinear systems using fuzzy rules. This chapter presents an extension of this modelling technique mainly based on the use of global fuzzy parameters and convolution operators to specify different uncertainties of a system: imprecision of inputs, vagueness of antecedent linguistic labels and smoothness requirements of outputs. The presented approach provides an efficient method to specify and implement an extended zero order product-sum Takagi-Sugeno controller with fuzzy inputs, antecedent terms fuzzy partition with an additional uniform vagueness, and singletons outputs with an additional output filter. It introduces a similarity transformation that greatly simplifies the involved computation. The most relevant feature of this approach is a global transformation of imprecision of inputs, uniform vagueness of antecedent terms and smoothness requirements of outputs into a single convolution transform applied to the corresponding antecedent terms partition. The kernels of the fuzzification transforms used are even B-spline functions. Some practical considerations and examples are also given.
Preventative Programming Techniques: Avoid and Correct Common Mistakes
Authors: Brian M. Hawkins
Venue:  (2003)

:Preventative Programming Techniques provides programmers with a clear and intelligent approach to detecting, preventing, and correcting the most common mistakes. It includes practical ways to reduce problems that occur every day, and provides methods for correcting problems that already exist. Using a medical metaphor, each of the common problems is presented as an illness. Each illness is then presented in a structured approach that includes a basic description, common symptoms, prevention methods, cures, and related illnesses to look for.The majority of the principles and practices espoused are language independent and focus on instructing programmers how to detect and avoid problems. It also includes guidelines on determining when and how to refactor or rewrite code. Some of the major and minor illnesses found throughout programming, include premature optimization, CAP (cut and paste) epidemic, NIH (not invented here) syndrome, complexification, oversimplification, docuphobia, and more. If you're a programmer, you've made these mistakes or you've had to deal with code that has them in it.To learn how to prevent and fix these problems, check out all of the illnessesyou're sure to find insightful tips for your own projects. Novice programmers will benefit greatly from reading through each category of illness from start to finish, and experienced programmers will benefit from the insightful tips and anecdotes. Key Features: * Provides insightful guidelines for avoiding common programming mistakes and writing cleaner, more efficient code * Emphasizes early detection and resolution before the costs of problems explode * Covers all problems from a non-language specific approach, providing examples in C++ and Java * Teaches practical guidelines for detecting what may seem like obvious mistakes that often go undetected until they cause serious problems * Includes a variety of tips and anecdotes that benefit all levels of programmers On the CD! * A collection of open source and demonstration software, including Cmake, CppUnit, Doc-o-Matic, Doxygen, Milestones, Perforce, Ruby, Visual Assist, and Win CVS * Full source code for many of the examples throughout the book in both C++ and Java System Requirements The source code is intended to be standard C++ and Java code. It has been tested using Microsoft Visual Studio .NET compiler for the C++ source code and the Sun JDK 1.4 compiler for the Java code.The software utilities provided require Windows 98, 2000, NT or XP professional. Although most of the software demos work with Windows 98, to use the Microsoft Visual C++ .NET project file you will need Microsoft Visual C++ .NET which requires NT, 2000, or XP. Some programs may have additional requirements, so please refer to specific programs for their information.
Real World .NET Applications
Authors: Budi Kurniawan
Venue:  (2003)

:Budi Kurniawan is an IT consultant specializing in Internet and object-oriented programming, and he has taught both Java and Microsoft technologies. He is the author of Internet Programming with Visual Basic (Apress) and Java for the Web with Servlets, JSP, and EJB, and he has published articles in more than ten publications. Budi comes from a solid programming background, developing applications for small to multinational companies and selling software used by major organizations such as Commerce One (NASDAQ: CMRC), Saudi Business Machine Ltd, and Baxter Healthcare Corporation.
A Comparison of U-Line and Straight-Line Performances Under Stochastic Task Times
Authors: Suresh Chand, Ting Zeng
Venue: Manufacturing Service Operations Management (2001)

Traditionally, assembly lines are laid out in a straight-line configuration where a worker covers only adjacent stations. In a U-line layout, on the other hand, two or more non-adjacent stations can be physically close to each other, making it possible for a worker to cover nonadjacent stations. This added flexibility increases the decision space for U-line layouts and can result in better balanced lines. This paper examines the impact of stochastic task times on the relative performance of U-line and straight-line layouts. Several analytical and simulation results are presented, and insights are provided to explain the difference in the performance of U-line and straight-line layouts. To summarize our main results, although balanced U-line layouts are at least as productive as balanced straight-line layouts given deterministic task times, they can be less productive given stochastic task times if they are balanced deterministically using mean times.
Success surrogates in representational decision support systems
Authors: Roger McHaney, Timothy Paul Cronan
Venue: Advanced topics in end user computing (2002)

When corporate difficulties arise, technology and new software development are often embraced as part of the solution. The modern manager has a wide variety of decision making aids at his or her disposal. One such aid, classified as a representational decision support system, is discrete event computer simulation. In order to assess the organizational impact of discrete event computer simulation, an instrument capable of measuring success is required. The importance of such assessment cannot be overemphasized. While empirical measurement of various information system inputs or independent variables such as information system budget expenditures or user participation is relatively straightforward, the development of corresponding output or dependent variables has been difficult. In an attempt to overcome these difficulties, researchers have suggested a variety of measurable surrogates. Work in this area has paved the way for the development of instruments used to assess success.This chapter focuses on external validity aspects of two popular information system instruments, the Davis measure of User Acceptance of Information Technology and the Doll and Torkzadeh measure of End-User Computing Satisfaction (EUCS). These instruments were designed for general purpose use and tested across a variety of settings, times, and persons. To ensure this generalizability extended to a very specific form of information technology, these instruments were administered to discrete event computer simulation users and tested for psychometric stability. This study provides additional evidence that the Doll and Torkzadeh measure of End-User Computing Satisfaction retained its psychometric properties when applied to users of discrete event computer simulation and therefore provides a reasonable surrogate measure for success in the implementation of this technology. An initial assessment of the Davis measure of User Acceptance of Information Technology (Perceived Ease-of-Use, Perceived Usefulness) returned poorer scores on the fit indexes but the evidence did indicate the expected factor structure was supported to some extent. The managerial implications of these findings are discussed.
An optimal and programmable control strategy for flexible and standard active filtering under non-sinusoidal line voltages
Authors: R. Ghazi, S. M. R. Rafiei, H. A. Toliyat
Venue: Iranian Journal of Science and Technology (2002)

This paper describes the concept of load compensation under distorted voltages conditions. At these conditions, unity power factor achievement requires the compensated loads to have a current set like the voltages and so it will be non-sinusoidal. Conversely, the perfect compensation of current harmonics will result in a power factor lower than unity. Both the harmonics and power factor compensation are of the well known and very important concepts. This paper introduces several new compensation strategies, which can compromise between power factor and current harmonics. Following these strategies a generalized, optimal and flexible control strategy (OFC) for harmonic compensation of utility lines using Active Power Filter (APF) systems is proposed that can realize a wide range of suitable compensation strategies. The major contribution of this paper is developing the required structure and control algorithm of the needed control system. The control strategy is based on the new compensation concept for power quality improvement under non-sinusoidal line voltage situations. It provides a unified compensation framework and has the ability of programming for perfect current harmonics compensation, or Unity Power Factor (UPF) accomplishment, or other newly defined strategies. One of the defined suitable strategies has the ability of maximizing the power-factor subject to some adjustable constraints on the level of current harmoincs and unbalancing via an on-line optimization algorithm to fulfill the IEEE-519 or other desired standards. The strategy guarantees the best achievable power factor and minimum required rating for the compensator. Flexibility of the control strategy has been proved mathematically and verified using extensive simulation results.
Graph recurrence
Authors: A. Vince
Venue: European Journal of Combinatorics (2003)

For a graph G, a graph recurrence sequence x0, x1, x2,... of vectors is defined by the recurrence xt+1 = Axt, t = 0, 1,...., where A is the adjacency matrix of G and x0 is an initial vector. Each vector in this sequence can be thought of as a vertex labeling of G, the label at a given vertex at step t+1 obtained by summing the values at the adjacent vertices at step t. Based on graphical sequences, three concepts are defined: (1) for a graph to be determined by a set of vectors, (2) for two graphs to be m-equivalent, and (3) for the vertices of the graph to be separated by a set of vectors. Results concerning these notions are given, relations to the graph isomorphism problem are discussed, and numerous open problems are posed.
Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior
Authors: Marios Koufaris
Venue: Information Systems Research (2002)

In this study, we consider the online consumer as both a shopper and a computer user. We test constructs from information systems (Technology Acceptance Model), marketing (Consumer Behavior), and psychology (Flow and Environmental Psychology) in an integrated theoretical framework of online consumer behavior. Specifically, we examine how emotional and cognitive responses to visiting a Web-based store for the first time can influence online consumers' intention to return and their likelihood to make unplanned purchases. The instrumentation shows reasonably good measurement properties and the constructs are validated as a nomological network.A questionnaire-based empirical study is used to test this nomological network. Results confirm the double identity of the online consumer as a shopper and a computer user because both shopping enjoyment and perceived usefulness of the site strongly predict intention to return. Our results on unplanned purchases are not conclusive. We also test some individual and Web site factors that can affect the consumer's emotional and cognitive responses. Product involvement, Web skills, challenges, and use of value-added search mechanisms all have a significant impact on the Web consumer. The study provides a more rounded, albeit partial, view of the online consumer and is a significant steptowards a better understanding of consumer behavior on the Web. The validated metrics should be of use to researchers and practitioners alike.
A remotely accessible networking laboratory
Authors: Joseph D. Sloan
Venue: Journal of Computing Sciences in Colleges (2002)

This paper describes Lander University's efforts to create a remotely accessible networking and telecommunications laboratory. By supplying remote access, the laboratory provides an authentic laboratory experience, gives greater access to equipment, and opens the laboratory to asynchronous and distance education uses. To create a viable laboratory, the issues of security, management, and authenticity had to be addressed. A tiered architecture was used to provide security--the inner experimental network is hidden behind an outer network that controls access. Both were positioned behind a router that provides filtering and network address translation. A number of techniques used to simplify management and provide greater authenticity were evaluated and are also described in this paper.
Comment: Using Product Profiling to Illustrate Manufacturing-Marketing Misalignment
Authors: Awi Federgruen, Aliza Heching, Richard J. Schonberger
Venue: Interfaces (1999)

In teir JulyÂ August 1998 article, Hill, Menda, and Dilts described Rumack Pharmaceutical Company (disguised name) as an example of misalignment between marketing and manufacturing. The problem was that marketing had stretched the product line beyond manufacturings capacity limits. The authors stated that operations managers took an action that would seem unwise or contrary to accepted practice in many of todays manufacturing organizations. Rumack decided to increase production lot sizes by an average of 100 percent [p. 61].The authors were respectful (appropriately, in view of Rumacks open door to their research) of the deliberations that resulted in this decision. Many readers, though, will probably wonder, as I do, about the correctness of the decision, considering the widely held impression that lot sizes should fall, not rise.
Intepreter based assignments for a standard programming languages course
Authors: John Barr, Laurie Smith King
Venue: Journal of Computing Sciences in Colleges (2001)

This tutorial will demonstrate how to use MuLE (MUltiple Language Environment) based projects in a programming languages design and implementation course. MuLE is a software tool (consisting primarily of four languages from different paradigms) developed to support combining the comparative and interpretive approaches to teaching the programming languages course. MuLE projects vary from small labs to programming a component within a larger existing program to programming in the large.