ppxscal/embedding_network huggingface dataset:
A User-Centred Design Approach For Agent Based E-Business Systems
Authors: Rahat Iqbal, Nazaraf Hussain Shah, Kuo-Ming Chao, Anne James
Venue: Proceedings of the IEEE International Conference on e-Business Engineering (2006)

An important aspect of designing for ubiquitous e-business applications is addressing the issues concerning user requirements and culture in which the system is to be deployed. The value of ethnographic analysis in this respect is gaining increasing acceptance. In this paper, we present an approach based on ethnography and multi-agents systems to address these issues. The usage of ethnographic approach provides an understanding of user requirements and explains the semantics, functionality and detailed business needs of ebusiness applications. We also stress the need of employing artificial intelligent agents that are suitable for e-business applications due to their autonomy, flexible behaviour and negotiating capabilities. Secondly, ethnographic concepts can directly be mapped onto the BDI (Belief, Desire, Intention) model of an agent. In this paper, we also demonstrate the usefulness of this approach by presenting a real life case study of a tailoring system.
Performances analysis of the propagator method for source bearing estimation
Authors: S. Marcos, A. Marsal, M. Benidir
Venue: Proceedings of the Acoustics, Speech, and Signal Processing,1994. on IEEE International Conference - Volume 04 (1994)

This paper investigates the performances of the propagator method (PM) in terms of the mean squared error (MSE) on the bearing estimates and in terms of the computational complexity. The propagator method (PM) is a subspace-based method which does not require any eigendecomposition of the cross-spectral matrix (CSM) of the received signals or any singular value decomposition (SVD) of the data matrix. We show that the performance of the PM are more sensitive to the fact that the basis of the noise subspace is not orthonormal than to the presence of noise in the data. We therefore propose a new version of the PM referred to as the orthonormal propagator method (OPM). We show that at high and medium signal-to-noise ratio, the OPM performs like MUSIC with a complexity reduced by the number of sources to the number of sensors ratio. The OPM can also perform like MUSIC at low SNR when the assumed number of sources is slightly overdetermined.
Data Growth in Banking Sector
Authors: Maytham Safar, Abdullah Al-Najjar
Venue: Proceedings of the 17th International Conference on Database and Expert Systems Applications (2006)

In the era of information technology, almost all business data is stored and archived in electronic formats. Both the easiness of the electronic storing methods and the low prices of the storing devices, have encouraged a great data growth within nowadays organizations. This research measures the data growth within the Kuwaiti banking sector on potential servers, like file-servers and email-servers, by analyzing historical data. Furthermore, it spots the light on the data growth within the client's machines in a well established Kuwaiti private company using online measurement mechanism.
Simulation optimization decision support system for ship panel line operations
Authors: Charles M. LaRue, Allen G. Greenwood, Travis W. Hill, Jeffery Wilson Miller, Clayton Thomas Walden
Venue: Proceedings of the 36th conference on Winter simulation (2004)

This university-industry project developed, in addition to discrete-event simulation models of the bottleneck shop in two major shipyards, a decision support system (DSS) that integrates the simulation models and an evolutionary-strategy-based optimizer. The system determines the optimal sequence for producing ship panels (each panel is unique) based on each panel's physical characteristics and work content, resource availability, earliest start and latest finish dates, operating policies, and business rules. The quality of each alternative sequence is assessed through detailed simulation models of the shops. The DSS can use models developed in either ProModel or QUEST. The system is used by planners to assess shipyard capacity and by shop-floor supervisors to better allocate resources. The successful results demonstrate the capability to effectively imbed and hide complexities associated with sophisticated simulation and optimization technologies from non-technical users, yet enable the users to obtain the benefits of using the technologies.
Statistical entity-topic models
Authors: David Newman, Chaitanya Chemudugunta, Padhraic Smyth
Venue: Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining (2006)

The primary purpose of news articles is to convey information about who, what, when and where. But learning and summarizing these relationships for collections of thousands to millions of articles is difficult. While statistical topic models have been highly successful at topically summarizing huge collections of text documents, they do not explicitly address the textual interactions between who/where, i.e. named entities (persons, organizations, locations) and what, i.e. the topics. We present new graphical models that directly learn the relationship between topics discussed in news articles and entities mentioned in each article. We show how these entity-topic models, through a better understanding of the entity-topic relationships, are better at making predictions about entities.
Localization/nonexistence conditions of periodic orbits of polynomial systems and its applications
Authors: K. E. Starkov
Venue: Proceedings of the 2003 International Conference on Physics and Control - Volume 2 (2003)

This paper contains localization/nonexistence conditions for periodic orbits of multidimensional polynomial systems. Our approach is based upon high order extremum conditions, high order tangency conditions of a nonsingular solution with an algebraic set in the state space and some ideas related to algebraic dependent polynomials. A few examples are examined including the the Rossler system, the mathematical model of the chemical reaction with auto-catalytic step and the May-Leonard system. The ACM Portal is published by the Association for Computing Machinery. Copyright © 2010 ACM, Inc. Terms of Usage Privacy Policy Code of Ethics Contact Us Useful downloads: Adobe Acrobat QuickTime Windows Media Player Real Player
Density codes and shape spaces
Authors: Pierre Courrieu
Venue: Neural Networks (2006)

This paper presents an algorithm that allows for encoding probability density functions associated to samples of points of R^n. The resulting code is a sequence of points of R^n whose density function approximates that of the set of data points. However, contrarily to sampled data points, code points associated to two different density functions can be matched, which allows to efficiently compare such functions. Moreover, the comparison of two codes can be made invariant to a wide variety of geometrical transformations of the support coordinates, provided that the Jacobian matrix of the transformation be everywhere triangular, with a strictly positive diagonal. Such invariances are commonly encountered in visual shape recognition, for example. Thus, using this tool, one can build spaces of shapes that are suitable input spaces for pattern recognition and pattern analysis neural networks. Moreover, a parallel neural implementation of the encoding algorithm is available for 2D image data.
A comparison of United States and European union taxation of e-commerce
Authors: Burke T. Ward, Janice C. Sipior, Wayne G. Bremser, David B. McGinty
Venue: Proceedings of the 8th international conference on Electronic commerce: The new e-commerce: innovations for conquering current barriers, obstacles and limitations to conducting successful business on the internet (2006)

Transactional taxes are an important source of revenue for government operations. The growth of borderless e-commerce, and digitally delivered goods and services, has created confusion about the e-vendor's obligation to collect and remit transactional taxes extra-jurisdictionally, resulting in a potential loss of tax revenue. This paper analyzes and compares transactional taxes in the United States (U.S.) and European Union (E.U.). In the U.S., a transactional tax is imposed, as a sales or use tax, by the states rather than by the national government. A proposed solution to the unique constitutional impediments to a U.S. state's ability to collect transactional taxes from e-commerce vendors is presented. Within the E.U., the member states impose a value added tax (VAT) on sales transactions. The implications and issues relevant to the E.U. directive affecting the taxation of E-commerce are discussed. Finally, a multi-jurisdictional agreement is recommended as a global solution.
Adding adaptive assessment capabilities to an e-learning system
Authors: Ioannis Hatzilygeroudis, Constantinos Koutsojannis, Nikolaos Papachristou
Venue: Proceedings of the First International Workshop on Semantic Media Adaptation and Personalization (2006)

In this paper, we present EX-COFALE, an extension to an existing open-source, web-based adaptive e-learning system, namely COFALE. COFALE, although offers facilities for adaptive content presentation, adaptive use of pedagogical devices and adaptive communication, it lacks facilities for adaptive student assessment. EX-COFALE remedies this deficiency of COFALE by allowing for automated test creation and assessment based on the students' knowledge information. To this end, COFALE has been modified to allow for representation of associations between test questions and learning concepts. Also, assessment is made at two levels, the concept and the goal level, taking into account the difficulty level of the questions. To technically achieve the above, expert systems technology is used.
Neuro-Fuzzy and Digital FIR Filter Approach for Power System Measurement Denoising
Authors: Jiekang Wu, Ying Liang, Guotong Chen
Venue: Proceedings of the First International Conference on Innovative Computing, Information and Control - Volume 1 (2006)

A Neuro-fuzzy and digital FIR filtering approach for denoising in power system measurement and control is presented in this paper. The signal is denoised via two processes. First, the signal is denoised based on fuzzy neural network filtering algorithms, and then the signal is once again denoised using digital FIR filtering methods. The simulation tests carried out in Matlab show much better results of denoising using Fuzzy-Neuro and digital FIR filtering approach than using one of them only. The proposed method also shows vely good advantages for both static signals and transient signals.
Object Contour Tracking in Videos by Matching Finite Mixture Models
Authors: Mohand Said Allili, Djemel Ziou
Venue: Proceedings of the IEEE International Conference on Video and Signal Based Surveillance (2006)

In this paper, we propose a novel object tracking algorithm in video sequences. The method is based on object mixture matching between successive frames of the sequence by using active contours. Only the segmentation of the objects in the first frame is required for initialization. The evolution of the object contour on a current frame aims to find the maximum fidelity of the mixture likelihood for the same object between successive frames while having the best fit of the mixture parameters to the homogenous parts of the objects. To permit for a precise and robust tracking, region, boundary and shape information are coupled in the model. The method permits for tracking multi-class objects on cluttered and non-static backgrounds. We validate our approach on examples of tracking performed on real video sequences.
Proceedings of the 34th annual ACM SIGPLAN-SIGACT symposium on Principles of programming languages
Venue: Annual Symposium on Principles of Programming Languages (2007)

Welcome to the Thirty-Fourth SIGPLAN-SIGACT Symposium on the Principles of Programming Languages. This volume contains the papers presented at the symposium, plus the abstracts for three invited talks.Some 240 authors created accounts on the POPL 2007 submission server in response to the call for papers; 200 of them actually uploaded submissions. Of those, two were withdrawn before the review process began. The program committee reviewed 198 submissions, used a market-based voting system to create a list of eligible papers, and then met in person for a day and a half on Boston (MA) to select the 36 papers in this conference record: 23 in the "regular" category and 13 in the new "short papers" category. I am especially grateful to Jay McCarthy and Shriram Krishnamurthi for modifying their Continue submission server to support the voting process.My goal in introducing the "short papers" category is to give more authors a chance to obtain feedback on their ideas at POPL and to loosen the rigid nature of the conference without sacrificing quality. In this spirit, the program committee selected short papers of an exemplary nature: (1) they satisfy the same quality standards as regular papers but (2) they are supposed to illustrate how the intuition behind a "cool tool" can be explained with a few pages and in half the time of a regular talk. I am hoping that you enjoy these short presentations and that some of my successors continue to experiment with the idea. As with all conferences, the papers in this volume are not refereed. While the members of the program committee and others provided large volumes of feedback to the authors in many shapes and forms, the conference publication process does not have any built-in editorial controls. The process of preparing and presenting a paper at POPL '07, however, should help the authors to turn their papers into archival and refereed journal publications.In addition to the research papers, POPL 2007 also features three invited speakers: Audrey Tang, Don Batory, and Chet Murthy. They represent communities who design programming languages, use advanced programming languages to engineer software, or do both. I am hoping that they inspire discussions on the gap between programming language research and practice and on how to bridge it.
CARMA: Cellular Automata Based Remote Mutual Authentication Scheme
Authors: Somanath Tripathy, Sukumar Nandi, Atanu Roy Chowdhury
Venue: Proceedings of the 9th International Conference on Information Technology (2006)

Mutual authentication between a service provider and its users is essential to prevent unauthorized adversaries from misutilizing system resources. The traditional method of password table lookups is not scalable and is susceptible to overloading. Therefore this paper proposes a Cellular Automata based Remote-Mutual Authentication (CARMA) Scheme to reduce the complexity of encryption and hash-based cryptosystems, as well as avoid table lookups. CARMA also uses cache-based nonces to avoid synchronization problems and thwart replay attacks. The inherent parallelism of cellular automata provides for its fast implementation.
Improving the Graph-Based Image Segmentation Method
Authors: Ming Zhang, Reda Alhajj
Venue: Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (2006)

Sensor devices are widely used for monitoring purposes. Image mining techniques are commonly employed to extract useful knowledge from the image sequences taken by sensor devices. Image segmentation is the first step of image mining. Due to the limited resources of the sensor devices, we need time and space efficient methods of image segmentation. In this paper, we propose an improvement to the graph-based image segmentation method already described in the literature and considered as the most effective method with satisfactory segmentation results. This is the preprocessing step of our online image mining approach. We contribute to the method by re-defining the internal difference used to define the property of the components and the threshold function, which is the key element to determine the size of the components. The conducted experiments demonstrate the efficiency and effectiveness of the adjusted method.
Design of a low-cost acoustic modem for moored oceanographic applications
Authors: Bridget Benson, Grace Chang, Derek Manov, Brian Graham, Ryan Kastner
Venue: Proceedings of the 1st ACM international workshop on Underwater networks (2006)

This paper discusses the current state of the art systems of real time telemetry on oceanographic moorings and describes the design requirements for making acoustic modem data telemetry a more widely used form of data telemetry for moored oceanographic applications. We present the design of a low cost 'mooring modem' and the results of an initial pool test for its prototype. Based on these results, we describe how the mooring modem meets the design requirements for moored oceanographic applications by looking at how it meets the requirements for a specific mooring example - the SB CHARM. We conclude by presenting the future work required to create a prototype mooring modem, which will be tested on the CHARM mooring. The end goal is the production of a cheap, low power acoustic modem for real-time data collection in moored oceanographic applications.
Messages Scheduling for Parallel Data Redistribution between Clusters
Authors: Johanne Cohen, Emmanuel Jeannot, Nicolas Padoy, Frederic Wagner
Venue: IEEE Transactions on Parallel and Distributed Systems (2006)

We study the problem of redistributing data between clusters interconnected by a backbone. We suppose that at most k communications can be performed at the same time (the value of k depending on the characteristics of the platform). Given a set of messages, we aim at minimizing the total communication time assuming that communications can be preempted and that preemption comes with an extra cost. Our problem, called k{\hbox{-}}Preemptive Bipartite Scheduling (KPBS) is proven to be NP-hard. We study its lower bound. We propose two {\frac{8}{3}}{\hbox{-}}{\rm{approximation}} algorithms with low complexity and fast heuristics. Simulation results show that both algorithms perform very well compared to the optimal solution and to the heuristics. Experimental results, based on an MPI implementation of these algorithms, show that both algorithms outperform a brute-force TCP-based solution, where no scheduling of the messages is performed.
Toward Systematic Services Innovation: Technical Workshop and Panel at IEEE CEC 2006
Authors: Kannan Govindarajan, E. Michael Maximilien
Venue: Proceedings of the The 8th IEEE International Conference on E-Commerce Technology and The 3rd IEEE International Conference on Enterprise Computing, E-Commerce, and E-Services (2006)

While services, in their many different guises, have permeated modern economies, there is no clear understanding on how to achieve systematic services innovation. In this combined workshop and panel, we have invited a diverse and distinguish list of speakers to give us their perspectives on innovation, on services, and how services innovation is best achieved and tackled. We plan to cover various perspectives on services innovation, ranging from business, to culture, to modeling services, to modern SOA-style software architecture, as well as education and training.
Medical Image Registration and Fusion with 3D CT and MR Data of Head
Authors: Chih-Hua Huang, Ching-Fen Jiang, Wen-Hsu Sung
Venue: Proceedings of the 19th IEEE Symposium on Computer-Based Medical Systems (2006)

The purpose of this study is to register the 3D image from computed tomography (CT) and magnetic resonance (MR) and therefore to integrate the information of hard and soft tissue. The slices with maximum areas detected from both 3D data sets were used as the corresponding slices to calculate the parameters of scale, rotation and translation for 3D data registration and fusion. The registered volume data were then visualized by the shell rendering method and the target contours, including the face and brain, were reconstructed by the surface rendering. The result of shell rendering can not only provide complete and integrated information of the combined image data in terms of 3D visualization but also reveal the 2D plane in any orientation. The 3D contours obtained by surface rendering can transformed into VRML format for any virtual reality applications.
Orthogonal discrete radon transform over pn × pnimages
Authors: Andrew Kingston
Venue: Signal Processing (2006)

This paper presents a discrete Radon transform based on arrays of size pn × pn where p is prime (p ≥ 2) and n ∈ N. The finite Radon transform presented in [F. Matus, J. Flusser, Image representation via a finite Radon transform, IEEE Trans. Pattern Anal. Mach. Intell. 15 (10) (1993) 996-1006] and the discrete periodic Radon transform (DPRT) presented in [T. Hsung, D. Lun, W. Siu, The discrete periodic Radon transform, IEEE Trans. Signal Process. 44 (10) (1996) 2651-2657] are subsets of this more general transform with n restricted to 1 and p restricted to 2, respectively. This transform exactly and invertibly maps the image as pn + pn-1 projections of length pn wrapped under modulo pn arithmetic. Since pn has factors if n ≥ 1, this mapping is partly redundant and a version utilising orthogonal bases is required. An invertible form of the DPRT with orthogonal bases, the orthogonal DPRT (ODPRT), was developed in [D. Lun, T. Hsung, T. Shen, Orthogonal discrete periodic Radon transform. Part I: theory and realization, Signal Processing 83 (5) (2003) 941-955]. An orthogonal version for the generalised pn case is developed here with applications analogous to those of the ODPRT presented in [D. Lun, T. Hsung, T. Shen, Orthogonal discrete periodic Radon transform, Part II: applications, Signal Processing 83 (5) (2003) 957-971].
Using interviews to investigate implicit knowledge in computer programming
Authors: Rebecca Mancy, Norman Reid
Venue: Proceedings of the 7th international conference on Learning sciences (2006)

The notions of implicit learning and implicit of tacit knowledge first became popular in the 1960s (Reber, 1967; Polanyi, 1967). However, they have rarely been applied to education. Most empirical studies of implicit learning and knowledge have used experimental paradigms. We argue that in order for these notions to be investigated in real-world educational situations, other research methods are necessary. In light of this, we report the results of an interview study of implicit knowledge in computer programming education. Several cues that helped us to determine that knowledge was implicit are explained and illustrated with examples. We conclude the interviews can be useful in investigating nonconscious knowledge and offer some observations concerning implicit knowledge about programming that became apparent from this study.
An industrial case study of structural testing applied to safety-critical embedded software
Authors: Jing Guan, Jeff Offutt, Paul Ammann
Venue: Proceedings of the 2006 ACM/IEEE international symposium on Empirical software engineering (2006)

Effective testing of safety-critical real-time embedded software is difficult and expensive. Many companies are hesitant about the cost of formalized criteria-based testing and are not convinced of the benefits. This paper presents the results of an industrial case study that compared the normal testing at a company (manual functional testing) with testing based on the logic-based criterion of correlated active clause coverage (CACC). The evaluation was performed during the testing of embedded, real-time control software that has been deployed in a safety-critical application in the transportation industry. We found in our study that the test cases generated to satisfy the CACC criterion detected major safety-critical faults that were not detected by functional testing. We also found that the cost required for CACC testing was not necessarily higher than the cost of functional testing. There were also several faults that were found by the functional tests that were not found by CACC tests.