ppxscal/embedding_network huggingface dataset:
Angle Images using Gabor Filters in Cardiac Tagged MRI
Authors: Joel Barajas, Jaume Garcia-Barnés, Francesc Carreras, Sandra Pujadas, Petia Radeva
Venue: Proceeding of the 2005 conference on Artificial Intelligence Research and Development (2005)

Tagged Magnetic Resonance Imaging (MRI) is a non-invasive technique used to examine cardiac deformation in vivo. An Angle Image is a representation of a Tagged MRI which recovers the relative position of the tissue respect to the distorted tags. Thus cardiac deformation can be estimated. This paper describes a new approach to generate Angle Images using a bank of Gabor filters in short axis cardiac Tagged MRI. Our method improves the Angle Images obtained by global techniques, like HARP, with a local frequency analysis. We propose to use the phase response of a combination of a Gabor filters bank, and use it to find a more precise deformation of the left ventricle. We demonstrate the accuracy of our method over HARP by several experimental results.
Basic Concepts in Organic Chemistry: A Programmed Learning Approach, 1st edition
Authors: P. Simpson
Venue:  (2009)

This suite of linear teaching programmes in areas of basic organic chemistry was developed for use by first year undergraduates at Sussex University where it has proved extremely popular. The concepts treated in the seven programmes are fundamental to any introductory course in organic chemistry and include certain intellectual techniques, such as curly arrows which students often find difficult, but which need to be fully mastered. With tutorial time increasingly short, this self-study text should prove invaluable to students of chemistry, biology or pre-clinical medicine taking a first course in organic chemistry.
A computer scientist's introductory guide to business process management (BPM)
Authors: Ryan K. L. Ko
Venue: Crossroads (2009)

Computers play an integral part in designing, modelling, optimising and managing business processes within and across companies. While Business Process Management (BPM), Workflow Management (WfM) and Business Process Reengineering (BPR) have been IT-related disciplines with a history of about three decades, there is still a lack of publications clarifying definitions and scope of basic BPM terminologies like business process, BPM versus WfM, workflow, BPR, etc. Such a myriad of similar-sounding terminologies can be overwhelming for computer scientists and computer science students who may wish to venture into this area of research. This guide aims to address this gap by providing a high level overview of the key concepts, rationale, features and the developments of BPM.
Learning OO with Peers
Authors: Weiqin Chen, Jan Dolonen, Lars Eirik Rønning
Venue: Proceeding of the 2005 conference on Towards Sustainable and Scalable Educational Innovations Informed by the Learning Sciences: Sharing Good Practices of Research, Experimentation and Innovation (2005)

In this paper we present the design, implementation and evaluation of an extension of BlueJ --BlueJExchanger--to support peer sharing projects. This plug-in provides the new learners with the opportunity to learn from peers and the possibility to develop a better understanding of OO modeling and programming.
A survey of RFID privacy approaches
Authors: Marc Langheinrich
Venue: Personal and Ubiquitous Computing (2009)

A bewildering number of proposals have offered solutions to the privacy problems inherent in RFID communication. This article tries to give an overview of the currently discussed approaches and their attributes.
A risk map of international tourist regions in Spain
Authors: Ana Bartolomé, Michael McAleer, Vicente Ramos, Javier Rey-Maquieira
Venue: Mathematics and Computers in Simulation (2009)

This paper presents a different approach to tourism research at the regional level. Financial econometric techniques are applied to international tourist arrivals, as well as their volatilities, in the five main tourist regions in Spain, using monthly international tourist arrivals during 1997-2007. Univariate time series models are estimated for the conditional means of monthly international tourist arrivals and their volatilities. The estimated conditional volatility models are GARCH(1,1), GJR(1,1) and EGARCH(1,1). Both the second moment and log-moment conditions are calculated to provide diagnostic checks of the estimated models. The conditional mean estimates are generally statistically adequate, and the inferences are valid.
Biological motifs designed using the principles of artificial life
Authors: Penesta Dika
Venue: International Journal of Advanced Intelligence Paradigms (2009)

Whereas digitalised art plants and animals have been designed using algorithms imitating the natural rules of creating a living being, in interactive media art, their virtual development, growth and death are simulated based on the visitors' interactivity. Virtual worlds, which are developed through the rules of the artists, enable a redefining of the rules through the users. The users can create virtual worlds that even the artists have not yet imagined. To realise this, evolutionary, and, in particular, genetic algorithms are used.
Iterative algorithm of wavelet network learning from nonuniform data
Authors: Zhiguo Zhang
Venue: Neurocomputing (2009)

The learning algorithm based on multiresolution analysis (LAMA) is a powerful tool for wavelet networks. It has many advantages over other algorithms, but it seldom does well in the learning of nonuniform data. A new algorithm is proposed to solve this problem, which develops from the learning algorithm based on sampling theory (LAST). From the good concentration of wavelet energy, we discuss the approximation capacity of wavelet network in the local domain when the training data are not dense enough. From this discussion, the new algorithm is realized by the iterative application of LAST. The corresponding theorems based on the sampling theory are also proposed to prove the rationality of new algorithm. In the simulation, we compare the performance of new algorithm with that of LAMA and LAST. The results show that our new algorithm has as many advantages as LAMA and LAST, does better in the learning of nonuniform data and has high approximation accuracy.
Paint Shop Pro Photo X2 for Photographers
Authors: Ken McMahon
Venue:  (2007)

Great pictures don't just happen, you make them. Unleash your creative potential with this essential guide to the myriad of features in Paint Shop Pro Photo X2. Written specifically for photographers by a working professional, it tells you exactly what you need to know to master the powerful creation and editing techniques of this award-winning software. * Unlock the full potential of your photographs to get professional-looking results every time, turning everyday images into exceptional ones* Let your creativity flourish, seeing every tool, feature and technique of this powerful package through a photographer's eyes* Log on to the accompanying website, www.guide2psp.com, to follow along with the projects in the book as you learn. Packed with a wide variety of real life workflow projects, eye-catching visuals and numerous tips and tricks, Paint Shop Pro X2 for Photographers shows you how to:* expertly utilize Express Lab to quickly view and fix several photos at a time* use Layer Styles to apply a wide range of effects including embossing, drop shadows, and reflections* enhance your workflow, organize your files, and easily share your photosEvery chapter in the book is methodically organized and easily accessible, so you can pick and choose to get the effect you need, when you need it. No matter what your skill level, this lavishly illustrated resource provides detailed, step-by-step instruction that guarantees stunning results every time. Ken McMahon is a graphic designer, freelance journalist and best-selling author. He runs Pelican Graphics, a digital design consultancy specializing in design and artwork production for print media and the web. * Unlock the full potential of your photographs to get professional-looking results every time, turning everyday images into exceptional ones* Let your creativity flourish, seeing every tool, feature and technique of this powerful package through a photographer's eyes* Log on to the accompanying website, www.guide2psp.com, to follow along with the projects in the book as you learn.
Fair Distribution of Collective Obligations
Authors: Guido Boella, Leendert van der Torre
Venue: Proceeding of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy (2006)

In social mechanism design, obligation distribution creates individual or contractual obligations that imply a collective obligation. A distinguishing feature from group planning is that also the sanction of the collective obligation has to be distributed, for example by creating sanctions for the individual or contractual obligations. In this paper we address fairness in obligation distribution for more or less powerful agents, in the sense that some agents can perform more or less actions than others. Based on this power to perform actions, we characterize a trade-off in negotiation power. On the one hand, more powerful agents may have a disadvantage during the negotiation, as they may be one of the few or even the only agent who can see to some of the actions that have to be performed to fulfill the collective obligation. On the other hand, powerful agents may have an advantage in some negotiation protocols, as they have a larger variety of proposals to choose from. Moreover, powerful agents have an advantage because they can choose from a larger set of possible coalitions. We present an ontology and measures to find a fair trade-off between these two forces in social mechanism design.
Fabric defect detection using morphological filters
Authors: K. L. Mak, P. Peng, K. F. C. Yiu
Venue: Image and Vision Computing (2009)

In this paper, a novel defect detection scheme based on morphological filters is proposed to tackle the problem of automated defect detection for woven fabrics. In the proposed scheme, important texture features of the textile fabric are extracted using a pre-trained Gabor wavelet network. These texture features are then used to facilitate the construction of structuring elements in subsequent morphological processing to remove the fabric background and isolate the defects. Since the proposed defect detection scheme requires a few morphological filters only, the amount of computational load involved is not significant. The performance of the proposed scheme is evaluated by using a wide variety of homogeneous textile images with different types of common fabric defects. The test results obtained exhibit accurate defect detection with low false alarms, thus showing the effectiveness and robustness of the proposed detection scheme. In addition, the proposed detection scheme is further evaluated in real time by using a prototyped automated inspection system.
Network anomaly detection based on Eigen equation compression
Authors: Shunsuke Hirose, Kenji Yamanishi, Takayuki Nakata, Ryohei Fujimaki
Venue: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining (2009)

This paper addresses the issue of unsupervised network anomaly detection. In recent years, networks have played more and more critical roles. Since their outages cause serious economic losses, it is quite significant to monitor their changes over time and to detect anomalies as early as possible. In this paper, we specifically focus on the management of the whole network. In it, it is important to detect anomalies which make great impact on the whole network, and the other local anomalies should be ignored. Further, when we detect the former anomalies, it is required to localize nodes responsible for them. It is challenging to simultaneously perform the above two tasks taking into account the nonstationarity and strong correlations between nodes. We propose a network anomaly detection method which resolves the above two tasks in a unified way. The key ideas of the method are: (1)construction of quantities representing feature of a whole network and each node from the same input based on eigen equation compression, and (2)incremental anomalousness scoring based on learning the probability distribution of the quantities. We demonstrate through the experimental results using two benchmark data sets and a simulation data set that anomalies of a whole network and nodes responsible for them can be detected by the proposed method.
Continuant polynomials and worst-case behavior of Hopcroft's minimization algorithm
Authors: Jean Berstel, Luc Boasson, Olivier Carton
Venue: Theoretical Computer Science (2009)

This paper is concerned with the analysis of the worst case behavior of Hopcroft's algorithm for minimizing deterministic finite state automata. We extend a result of Castiglione, Restivo and Sciortino. They show that Hopcroft's algorithm has a worst case behavior for the automata recognizing Fibonacci words. In a previous paper, we have proved that this holds for all standard Sturmian words having an ultimately periodic directive sequence (the directive sequence for Fibonacci words is (1,1,...)). We prove here that the same conclusion holds for all standard Sturmian words having a directive sequence with bounded elements. More precisely, we obtain in fact a characterization of those directive sequences for which Hopcroft's algorithm has worst case running time. These are the directive sequences (d"1,d"2,d"3,...) for which the sequence of geometric means (d"1d"2...d"n)^1^/^n is bounded. As a consequence, we easily show that there exist directive sequences for which the worst case for the running time is not attained.
Estimating clock uncertainty for efficient duty-cycling in sensor networks
Authors: Saurabh Ganeriwal, Ilias Tsigkogiannis, Hohyun Shim, Vlassios Tsiatsis, Mani B. Srivastava, Deepak Ganesan
Venue: IEEE/ACM Transactions on Networking (TON) (2009)

Radio duty cycling has received significant attention in sensor networking literature, particularly in the form of protocols for medium access control and topology management. While many protocols have claimed to achieve significant duty-cycling benefits in theory and simulation, these benefits have often not translated into practice. The dominant factor that prevents the optimal usage of the radio in real deployment settings is time uncertainty between sensor nodes which results in overhead in the form of long packet preambles, guard bands, and excessive control packets for synchronization. This paper proposes an uncertainty-driven approach to duty-cycling, where a model of long-term clock drift is used to minimize the duty-cycling overhead. First, we use long-term empirical measurements to evaluate and analyze in-depth the interplay between three key parameters that influence long-term synchronization: synchronization rate, history of past synchronization beacons, and the estimation scheme. Second, we use this measurement-based study to design a rate-adaptive, energy-efficient long-term time synchronization algorithm that can adapt to changing clock drift and environmental conditions, while achieving application-specific precision with very high probability. Finally, we integrate our uncertainty-driven time synchronization scheme with the BMAC medium access control protocol, and demonstrate one to two orders of magnitude reduction in transmission energy consumption with negligible impact on packet loss rate.
A comparison of context-oriented programming languages
Authors: Malte Appeltauer, Robert Hirschfeld, Michael Haupt, Jens Lincke, Michael Perscheid
Venue: International Workshop on Context-Oriented Programming (2009)

Context-oriented programming (COP) extensions have been implemented for several languages. Each concrete language design and implementation comes with different variations of the features of the COP paradigm. In this paper, we provide a comparison of eleven COP implementations, discuss their designs, and evaluate their performance.
Pedagogical agents as social models for engineering: The influence of agent appearance on female choice
Authors: Amy L. Baylor, E. Ashby Plant
Venue: Proceeding of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology (2005)

The current work examined the influence of pedagogical agents as social models to increase females' interest in engineering. Seventy-nine female undergraduate students rated pedagogical agents on a series of factors (e.g., most like themselves, most like an engineer, and most prefer to learn from). The agents were identical with the exception of differing by appearance/image in four aspects (age, gender, attractiveness, “coolness”). After selecting the agent from which they most preferred to learn, participants interacted with it for approximately 15 minutes and received a persuasive message about engineering. Results indicated that the women were more likely to choose a female, attractive, young, and cool agent as most like themselves and the one they most wanted to be like. However, they tended to select male, older, uncool agents as the most like engineers and tended to choose to learn about engineering from agents that were male and attractive, but uncool. Interacting with an agent had a positive impact on math-related beliefs. Specifically, the women reported more positive math and science related beliefs compared to their attitudes at the beginning of the semester and compared to a group of women who did not interact with an agent. Further, among the women who viewed an agent, the older version of the agent had a stronger positive influence on their math-related beliefs than the younger agent.
Pioneering Inventors or Thicket Builders: Which U.S. Firms Use Continuations in Patenting?
Authors: Deepak Hegde, David C. Mowery, Stuart J. H. Graham
Venue: Management Science (2009)

Why do firms use continuations in the prosecution of their patents? Motivated by the widespread use of continuations by U.S. firms and the prominence of this procedure in U.S. patent policy debates, we investigate the influence of corporate and patent characteristics on the use of continuations. We employ novel data on applicants and their filings of three types of continuations---the continuation application (CAP), the continuations in part (CIP), and divisions---during 1981--2000 to distinguish among the motives for continuing patents. We find that CIPs are disproportionately filed by research and development-intensive firms that patent heavily, and that these continuations are more common in chemical and biological technologies. Patents issuing from CIPs cover relatively important inventions and their use appears consistent with a strategy of protecting “pioneering inventions.” In contrast, CAPs and divisions are associated with less important patents assigned to capital-intensive firms, particularly in computer and semiconductor fields, and appear to be used in defensive patenting strategies. We analyze the effects of the 1995 change in patent term, and find that the act reduced continuations overall and shifted the output of continuations toward less important patents.
Embedded Systems: World Class Designs
Authors: Jack Ganssle, Jack Ganssle
Venue:  (2007)

Famed author Jack Ganssle has selected the very best embedded systems design material from the Newnes portfolio and compiled into this volume. The result is a book covering the gamut of embedded design-from hardware to software to integrated embedded systems-with a strong pragmatic emphasis. In addition to specific design techniques and practices, this book also discusses various approaches to solving embedded design problems and how to successfully apply theory to actual design tasks. The material has been selected for its timelessness as well as for its relevance to contemporary embedded design issues. This book will be an essential working reference for anyone involved in embedded system design! Table of Contents:Chapter 1. Motors - Stuart BallChapter 2. Testing - Arnold S. BergerChapter 3. System-Level Design - Keith E. CurtisChapter 4. Some Example Sensor, Actuator and Control Applications and Circuits (Hard Tasks) - Lewin ARW EdwardsChapter 5. Installing and Using a Version Control System - Chris Keydel and Olaf MedingChapter 6. Embedded State Machine Implementation - Martin GomezChapter 7. Firmware Musings - Jack GanssleChapter 8. Hardware Musings - Jack GanssleChapter 9. Closed Loop Controls, Rabbits, and Hounds - John M. HollandChapter 10. Application Examples David J. Katz and Rick GentileChapter 11. Analog I/Os - Jean LaBrosseChapter 12. Optimizing DSP Software - Robert OshanaChapter 13. Embedded Processors - Peter Wilson *Hand-picked content selected by embedded systems luminary Jack Ganssle*Real-world best design practices including chapters on FPGAs, DSPs, and microcontrollers*Covers both hardware and software aspects of embedded systems
A low complexity robust detector in impulsive noise
Authors: Puskal P. Pokharel, Weifeng Liu, Jose C. Principe
Venue: Signal Processing (2009)

This paper demonstrates the effectiveness of a nonlinear extension to the matched filter for signal detection in certain kinds of non-Gaussian noise. The decision statistic is based on a new measure of similarity that can be considered as an extension of the correlation statistic used in the matched filter. The optimality of the matched filter is predicated on second order statistics and hence leaves room for improvement, especially when the assumption of Gaussianity is not applicable. The proposed method incorporates higher order moments in the decision statistic and shows an improvement in the receiver operating characteristics (ROC) for non-Gaussian noise, in particular, those that are impulsive distributed. The performance of the proposed method is demonstrated for detection in two types of widely used impulsive noise models, the alpha-stable model and the two-term Gaussian mixture model. Moreover, unlike other kernel based approaches, and those using the characteristic functions directly, this method is still computationally tractable and can easily be implemented in real-time.
Incremental Process Modeling through Stakeholder-Based Hybrid Process Simulation
Authors: Xu Bai, Liguo Huang, Supannika Koolmanojwong
Venue: Proceedings of the International Conference on Software Process: Trustworthy Software Development Processes (2009)

Both the process modeling and process simulation are necessary components of process automation. A Process Modeling Language (PML) is a set of description tools that define processes attributes and constrains in a specific domain. Process modeling stakeholders may have different levels of dependencies on different types of PMLs. They also have various perspectives for modeling a process. Discrete and continuous PMLs are complimentary in modeling the process at different levels of abstraction and to address different stakeholders' perspectives. The hybrid process simulation combines micro-level discrete process models with the macro-level continuous process models to capture process dynamics and deploy process optimization. This paper proposes an incremental approach based on the hybrid simulation in modeling a software process at different levels of abstraction in order to address different stakeholders' perspectives. By addressing stakeholders' concerns in hybrid simulation at each process segment, this approach incrementally integrates internal process dynamics and modifications due to external changes into process model that cannot be easily achieved by individually using discrete or continuous modeling approaches.