ppxscal/embedding_network huggingface dataset:
A new method for the positioning and matching of shape outlines
Authors: Cecilia Di Ruberto, Marco Gaviano, Andrea Morgera
Venue: Proceedings of the 8th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases (2009)

Automatic information retrieval in the field of shape recognition has been widely covered by many research fields. Whichever is the way to represent the objects in images, a recognition method should be robust in the presence of scale change, translation and rotation. In this paper a novel approach to find the optimal correspondence between 2D curves using their intrinsic properties is proposed. The method consists of an alignment process to compare two shapes conveniently modeled. To evaluate the effectiveness of the algorithm, two databases of 216 and 99 images have been used. A performance analysis and comparison is provided by precision-recall curves.
A Greedy Knowledge Acquisition Method for the Rapid Prototyping of Bayesian Belief Networks
Authors: Claus Möbus, Heiko Seebold
Venue: Proceeding of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology (2005)

Bayesian belief networks (BBNs) are a standard tool for building intelligent systems in domains with uncertainty for diagnostics, therapy planning and user-modelling. Modelling their qualitative and quantitative parts requires sometimes subjective data acquired from domain experts. This can be very time consuming and stressful-causing a knowledge acquisition bottleneck. The main goal of this paper is the presentation of a new knowledge acquisition procedure for rapid prototyping the qualitative part of BBNs. Experts have to provide only simple judgements about the causal precedence in pairs of variables. From these data a new greedy algorithm for the construction of transitive closures generates a Hasse diagram as a first approximation for the qualitative model. Then experts provide only simple judgements about the surplus informational value of variables for a target variable shielded by a Markov blanket (wall) of variables. This two-step procedure allows for very rapid prototyping. In a case-study we and two expert cardiologists developed a first 39 variables prototype BBN within two days.
Application-aware deadlock-free oblivious routing
Authors: Michel A. Kinsy, Myong Hyon Cho, Tina Wen, Edward Suh, Marten van Dijk, Srinivas Devadas
Venue: ACM SIGARCH Computer Architecture News (2009)

Conventional oblivious routing algorithms are either not application-aware or assume that each flow has its own private channel to ensure deadlock avoidance. We present a framework for application-aware routing that assures deadlock-freedom under one or more channels by forcing routes to conform to an acyclic channel dependence graph. Arbitrary minimal routes can be made deadlock-free through appropriate static channel allocation when two or more channels are available. Given bandwidth estimates for flows, we present a mixed integer-linear programming (MILP) approach and a heuristic approach for producing deadlock-free routes that minimize maximum channel load. The heuristic algorithm is calibrated using the MILP algorithm and evaluated on a number of benchmarks through detailed network simulation. Our framework can be used to produce application-aware routes that target the minimization of latency, number of flows through a link, bandwidth, or any combination thereof.
Viewpoints from the doorstep: pre-major interest in and perceptions of computer science
Authors: Richard J. Anderson, Denise Wilson
Venue:  (2008)

The goal of this two-part work is to extend the small but growing body of research on the recent, rapid drop in undergraduate interest in CSE, especially among women. Both the first part, a qualitative study, and the second part, a curricular development effort, draw on a wide variety of disciplines, spanning the social sciences, CSE, and CSE education/pedagogy. The first and main part is an interview-based, descriptive study of pre-major undergraduates. By framing the findings in Eccles et al.'s expectancy-value model, an established theoretical model of academic motivation from the educational psychology literature, we describe how a variety of factors affect women and men's interest in the CSE major. As a theoretical contribution, we also propose refinements and extensions to the expectancy-value model for specialized application to research on entry into CSE and gender. The second part of our work is the design and formally evaluated pilot deployment of an educational intervention whose aim is to address some of the issues illuminated by the descriptive study. The "CSE Exploration Workshop," as it was billed, was designed to help pre-major undergraduates make better informed decisions about majoring in CSE and was a qualified success, based on an external evaluation.
Prediction and Discovery
Authors: Joseph S. Verducci, Xiaotong Shen, John Lafferty
Venue:  (2007)

These proceedings feature some of the latest important results about machine learning based on methods originated in Computer Science and Statistics. In addition to papers discussing theoretical analysis of the performance of procedures for classification and prediction, the papers in this book cover novel versions of Support Vector Machines (SVM), Principal Component methods, Lasso prediction models, and Boosting and Clustering. Also included are applications such as multi-level spatial models for diagnosis of eye disease, hyperclique methods for identifying protein interactions, robust SVM models for detection of fraudulent banking transactions, etc. This book should be of interest to researchers who want to learn about the various new directions that the field is taking, to graduate students who want to find a useful and exciting topic for their research or learn the latest techniques for conducting comparative studies, and to engineers and scientists who want to see examples of how to modify the basic high-dimensional methods to apply to real world applications with special conditions and constraints.
Plenary lecture 10: advances on structural optimization of neoprene passive vibroisolation devices
Authors: Silviu Nastac
Venue: Proceedings of the 10th WSEAS international conference on Automation & information (2009)

This paper presents the identification and evaluation of the operational methods to improve the isolation characteristics for neoprene passive vibroisolation devices. The area of this study is framed by the passive isolation against shocks and vibration, due to the different technological equipments, of the sensitive embedded systems. The study is based on the large sets of virtual and instrumental tests, performed on different types of vibroisolation devices, with various structural and functional configurations. All of these was developed supposing the basic compressing and torsion rubber elastic elements, their working principle, and their functional restraints. Through the comparative analysis of the acquired results, it was fixed some final structural configurations. It is also present a few theoretical and operational aspects regarding the base isolation technique, which frame the basis of using of these vibroisolation devices. The main concluding remark denotes the way to use simple neoprene elastic elements, mounted on a lever structural and spatial configuration, to obtain a high global level of dynamic isolation.
The Dynamic Nature of Self-Regulatory Behavior in Self-Regulated Learning and Externally-Regulated Learning Episodes
Authors: Amy Witherspoon, Roger Azevedo, Jeffrey Greene, Daniel Moos, Shanna Baker
Venue: Proceeding of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work (2007)

This study empirically examines the temporal nature of students' self-regulatory behavior while learning about a complex science topic using hypermedia. The experiment involved randomly assigning 74 undergraduate students to one of two tutoring conditions: self-regulated learning (SRL) or externally-regulated learning (ERL). Participants in the self-regulated learning condition used hypermedia environment to learn about the circulatory system on their own, while participants in the externally-regulated learning condition also used the hypermedia environment, but were given prompts and feedback from a human tutor during the session to facilitate their self-regulatory behavior. Results from product data (mental model pretest-posttest shifts) indicate that the ERL condition leads to a greater likelihood of having a high-level mental model at posttest. In addition, results from the process (think-aloud) data indicate that having access to a human tutor during learning affects the deployment of certain SRL classes at different times within a learning session. Implications for the design of a computer-based learning environment which is intended to stimulate learners' effective use of self-regulated learning are discussed.
Modeling and Control of Complex Systems, 1st edition
Authors: Petros A. Ioannou, Andreas Pitsillides
Venue: Control Engineering Series (2007)

There is an emerging interest in the area of modeling and control of complex systems for applications in many engineering and non-engineering fields such as biology, transportation, robotics, information technology, and communications. This text provides a pioneering, single-source compilation of material from internationally renowned experts with different approaches to the applications of modeling and control of complex systems. Sections cover complex systems, biological systems, communication networks, sensor networks and automation, autonomous vehicles and robotics, transportation systems and structures, and others. The authors highlight the most important areas of research, the latest advances, and possible future directions.
APSALAR: ad hoc protocol for service-aligned location aware routing
Authors: Warren Kenny, Stefan Weber
Venue: Proceedings of the 1st International Workshop on Context-Aware Middleware and Services: affiliated with the 4th International Conference on Communication System Software and Middleware (COMSWARE 2009) (2009)

Current solutions to communication in mobile ad hoc networks (MANETs) are based on the use of IP addresses. These approaches identify the nodes involved in data transmission through the same type of address used in traditional wired networks. However, IP addresses do not carry the same meaning in MANETs as in wired networks, where routing protocols can reduce the routing effort based on the assumption that stub networks are physically static. In MANETs, where currently similar routing protocols are used to determine routes to individual nodes, IP addresses as a basis for routing decisions represent a poor choice, because nodes in these networks are assumed to be highly mobile. We argue that a structured Peer-to-Peer (P2P) protocol that is aware of the proximity between nodes represents a viable alternative to IP in MANETs. Our approach replaces IP ad- dresses in favour of a service-oriented structured P2P identifiers that exploits a node's proximity-awareness in order to form physically-close clusters. In this paper, we describe the design of our routing protocol, called APSALAR, and discuss its features in comparison to existing approaches.
Distributed energy balanced routing for wireless sensor networks
Authors: Chang-Soo Ok, Seokcheon Lee, Prasenjit Mitra, Soundar Kumara
Venue: Computers and Industrial Engineering (2009)

Most routing algorithms for sensor networks focus on finding energy efficient paths to prolong the lifetime of sensor networks. As a result, the power of sensors on efficient paths depletes quickly, and consequently sensor networks become incapable of monitoring events from some parts of their target areas. In many sensor network applications, the events that must be tracked occur at random locations and have non-deterministic generation patterns. Therefore, ideally, routing algorithms should consider not only energy efficiency, but also the amount of energy remaining in each sensor, thus avoiding non-functioning sensors due to early power depletion. This paper introduces a new metric, energy cost, devised to consider a balance of sensors' remaining energies, as well as energy efficiency. This metric gives rise to the design of the distributed energy balanced routing (DEBR) algorithm devised to balance the data traffic of sensor networks in a decentralized manner and consequently prolong the lifetime of the networks. DEBR is scalable in the number of sensors and also robust to the variations in the dynamics of event generation. We demonstrate the effectiveness of the proposed algorithm by comparing three existing routing algorithms: direct communication approach, minimum transmission energy, and self-organized routing and find that energy balance should be considered to extend lifetime of sensor network and increase robustness of sensor network for diverse event generation patterns.
Improving transparency in network-based haptics
Authors: Sina Niakosari, Shahin Sirouspour
Venue: Proceedings of the World Haptics 2009 - Third Joint EuroHaptics conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems (2009)

This paper is concerned with network-based multi-user haptic interaction using a distributed peer-peer control architecture. It proposes new quantitative measures for quantifying the fidelity of haptic simulations in such environments. User's perceived admittance and discrepancy among local copies of virtual objects are considered in defining these measures. A state prediction scheme is proposed to compensate for the negative effects of the network communication delay on the transparency and stability of the haptic simulation. An optimization problem is formulated for selecting the control gains that can enhance the performance while maintaining system stability. Numerical analysis and haptic interaction experiments are carried out to demonstrate the effectiveness of the proposed approach.
A multicriteria methodology for equity selection using financial analysis
Authors: Panagiotis Xidonas, George Mavrotas, John Psarras
Venue: Computers and Operations Research (2009)

In this article we present a multiple criteria methodology for supporting decisions that concern the selection of equities, on the basis of financial analysis. The ELECTRE Tri outranking classification method is employed for selecting the attractive equities, through the evaluation of the overall corporate performance of the corresponding firms. The crucial importance issue of the industry/sectoral accounting particularities was strongly taken into account. An elaborate review of coherent research studies is also provided. Finally, the validity of the proposed methodology is tested through a large scale application on the Athens Stock Exchange.
Managing the quality of CPC traffic
Authors: Bobji Mungamuru, Hector Garcia-Molina
Venue: Proceedings of the tenth ACM conference on Electronic commerce (2009)

We show how an online advertising network can use filtering, predictive pricing and revenue sharing together to manage the quality of cost-per-click (CPC) traffic. Our results suggest that predictive pricing alone can and should be used instead of filtering to manage organic traffic quality, whereas either method can be used to deter click inflation.
Algorithms to Separate $\{0,\frac{1}{2}\}$-Chv&#x00e1;tal-Gomory Cuts
Authors: Arie M. C. a. Koster, Adrian Zymolka, Manuel Kutschka
Venue: Algorithmica (2009)

Chvátal-Gomory cuts are among the most well-known classes of cutting planes for general integer linear programs (ILPs). In case the constraint multipliers are either 0 or , such cuts are known as -cuts. It has been proven by Caprara and Fischetti (Math. Program. 74:221–235, 1996) that separation of -cuts is $\mathcal {NP}$-hard. In this paper, we study ways to separate -cuts effectively in practice. We propose a range of preprocessing rules to reduce the size of the separation problem. The core of the preprocessing builds a Gaussian elimination-like procedure. To separate the most violated -cut, we formulate the (reduced) problem as integer linear program. Some simple heuristic separation routines complete the algorithmic framework. Computational experiments on benchmark instances show that the combination of preprocessing with exact and/or heuristic separation is a very vital idea to generate strong generic cutting planes for integer linear programs and to reduce the overall computation times of state-of-the-art ILP-solvers.
Gateway to Sedona Visitor and Web Guide
Authors: Gateway To Sedona, Victoria Oldham
Venue:  (2007)

The Gateway To Sedona Visitor & Web Guide is the ultimate travel companion for anyone interested in visiting Sedona, the Verde Valley and Northern Arizona. Beautifully illustrated with stunning color photographs from cover to cover, the Gateway To Sedona Visitor & Web Guide more than lives up to Sedona s designation as The Most Beautiful Place In America by USA Weekend Magazine. Sections include the story of Sedona s first people, a brief history of settler life, a close look at area wildlife, hiking trails and maps, ancient Indian dwellings and petroglyphs, and a snapshot of Sedona s mystical side, complete with a vortex map. Special coverage of Sedona s most popular state park, the diverse communities and attractions of the Verde Valley and top Northern Arizona destinations such as Flagstaff, Lake Powell, Meteor Crater and The Grand Canyon further adds to the excitement of planning a vacation to the region. Travelers coming to Sedona by way of Phoenix Sky Harbor Airport will appreciate The Scottsdale Connection, a section of the guide covering things to do and see in Scottsdale, Arizona, on the way to Sedona. Additionally, this perfect-bound, digest-size, information-packed guide includes a full color, centerfold pull-out map illustrating animals and birds of Oak Creek Canyon and the famous Red Rocks of Sedona. The Gateway To Sedona Visitor & Web Guide is the only Sedona visitor guide that connects to always up-to-date special offers and coupons on GatewayToSedona.com. Guide readers can potentially enjoy substantial savings on top area lodging, tours, shopping, art galleries, restaurants, real estate, and wedding services for the perfect trip to Sedona and Northern Arizona.
A novel active vibration isolator applied for micro-gyro by array of deposited electrodes
Authors: Nan-Chyuan Tsai, Chung-Yang Sue, Bing-Hong Liou
Venue: Microsystem Technologies (2009)

Micro-gyroscopes are usually driven into resonance so that the sensitivity and resolution can be enhanced. However, if any substantial vibration of the gyroscope base, over which the seismic proof mass is seated, was present, then the preset resonant frequency would be altered and the performances of the gyroscopes could be much degraded. In this paper, an innovative three degree-of-freedom (DOF) isolation system is proposed to attenuate the undesirable vibrations caused by the ambient environments. The mathematic model of the proposed 3-DOF micro-machined isolation system is established and analyzed such that the transfer function of transmissibility is obtained. The pull-in instability and associated pull-in voltage for the actuators of the isolation system are numerically unveiled so that the interval of the applied voltage to generate the electrostatic control force can be set to ensure the stability of the suspension system. In addition, a fuzzy logic proportion and derivative (PD) controller is synthesized for disturbance rejection. Five sensing electrodes, in cooperation with the isolator, are used to provide the feedback signals of the relative displacements of the proof mass with respect to the base, i.e., pitch, yaw and lateral linear displacement. Ten tuning electrodes are utilized to generate the required electrostatic forces to preserve the seismic proof mass from external disturbance. In comparison with the traditional PD action, the proposed fuzzy logic PD control strategy is verified by intensive simulations to illustrate its superior vibration isolation capability.
Supporting the Reuse of Global Unique Identifiers for Individuals in OWL/RDF Knowledge Bases
Authors: Xin Liu, Heiko Stoermer, Paolo Bouquet, Shu Wang
Venue: Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications (2009)

In the current state of Semantic Web knowledge representation, it is fairly common that individuals in ontologies have different identifiers even if they are meant to denote the same object in the real world. This makes data integration at the level of individuals quite difficult. In this demonstration, we show two plug-ins called Okkam4N and Okkam4P developed for the NeOn Toolkit and Protégé software respectively, which support the reuse of globally unique identifiers for individuals in OWL/RDF knowledge bases. The key idea is that users are given a chance to look for an existing URI in the publicly available Entity Name System for the corresponding individual in the local OWL/RDF knowledge bases. They are available and tested for the latest official release versions, the NeOn Toolkit 1.2 and Protégé 3.4.
Feature sets based on fuzzy reasoning for automatic sea floor characterization
Authors: Mircea Boscoianu, Cristian Molder, Janel Arhip, Mihai I. Stanciu, Iulian C. Vizitiu
Venue: Proceedings of the 10th WSEAS international conference on Mathematical methods, computational techniques and intelligent systems (2008)

Automatic sea floor characterization is mainly based on the signal or image processing of the data acquired using an active acoustic system called sediment sonar. Each processing method sutis a specific type of sonar, such as the monobeam, the multibeam, or the side-scan sonar. Most types of sonar offer a two dimensional view of the sea floor surface. Therefore, a high resolution image results which can be further analyzed. The inconvenient is that the sonar cannot view inside of the sea floor for a deeper analysis. Therefore, lower frequency acoustic systems are used for in-depth sea floor penetration (boomer, sparker, airguns of sub-bottom profilers). In this case, a mono dimensional signal results. Previous studies on the low-frequency systems are mainly based on the visual inspection by a geological human expert. To automatize this process, we propose the use of feature sets based on the transposed expert fuzzy reasoning. Two features are extracted, the first based on the sea floor contour and the second based on the sub-bottom sediment texture.
System demonstration: Metavid.org: a social website and open archive of congressional video
Authors: Michael Dale, Abram Stern, Mark Deckert, Warren Sack
Venue: Proceedings of the 10th Annual International Conference on Digital Government Research: Social Networks: Making Connections between Citizens, Data and Government (2009)

We have developed Metavid.org, a site that archives video footage of the U.S. Senate and House floor proceedings. Visitors can search for who said what when and also download, remix, blog, edit, discuss, and annotate transcripts and metadata. The site has been built with Open Source Software (OSS) and the video is archived in an OSS codec (Ogg Theora). We highlight two aspects of the Metavid design: (1) open standards; and, (2) Wiki functionality. First, open standards allow Metavid to function both as a platform, on top of which other sites can be built, and as a resource for "mashing" (i.e., semi-automatically assembling custom websites). For example, Voterwatch.org pulls its video from the Metavid archive. Second, Metavid extends the MediaWiki software (which is the foundation of Wikipedia) into the domain of collaborative video authoring. This extension allows closed-captioned text or video sequences to be collectively edited.