ppxscal/embedding_network huggingface dataset:
Evaluating Real-time Online Research Data (RORD) and Verbatim Quotient Detection (VQD): Low Inference Tools to Monitor Outcomes of Unconstrained Authentic Internet Research
Authors: Nasiroh Omar, Colin Higgins, Colin Harrison, Diego Campo Millan
Venue: Proceedings of the Sixth IEEE International Conference on Advanced Learning Technologies (2006)

This research evaluated a prototype Internet research support system based on earlier work defining online reading and a model of online reading behavior. The prototype system is embedded with Realtime Online Research Data (to capture the participants' online reading processes and written output) and Verbatim Quotient Detection (to monitor the proportion of verbatim material copied from Internet sources into a final essay). Fifty-seven undergraduate students and one faculty member participated in the experiment. Analysis of online reading activity using the real time data collection system and the verbatim detection tools demonstrated that even with limited time and a common task, when the whole Internet was available there was significant variation in participants' search strategies, search terms and research processes.
Semantic Web Services Composition Using AI Planning of Description Logics
Authors: Lirong Qiu, Fen Lin, Changlin Wan, Zhongzhi Shi
Venue: Proceedings of the 2006 IEEE Asia-Pacific Conference on Services Computing (2006)

Web services composition techniques are gaining momentum as the opportunity to establish reusable and versatile inter-operability applications. The purpose of Semantic Web Services is to use semantic specification to automate the discovery, invocation, and composition Web services. Description logics is the formalized foundation of Semantic Web Services and provides well-defined semantics. And many researchers propose their composition approach based on planning techniques. We propose our service composition methods based on description logics and AI planning technologies. Our algorithm for Services composition uses backward-chaining search method to find potential candidate services. And We propose a DAG-based method to generate the planning process and filtering the inappropriate services during the DAG generation process. We test our approach on a simple, yet realistic example, and the preliminary results demonstrate that our implementation provides a practical solution.
Location-Dependent Queries in Mobile Contexts: Distributed Processing Using Mobile Agents
Authors: Sergio Ilarri, Eduardo Mena, Arantza Illarramendi
Venue: IEEE Transactions on Mobile Computing (2006)

With the current advances of mobile computing technology, we are witnessing an explosion in the development of applications that provide mobile users with a wide range of services. In this paper, we present a system that supports distributed processing of continuous location-dependent queries in mobile environments. The system that we propose presents the following main advantages: 1) it is a general solution for the processing of location-dependent queries in scenarios where not only the users issuing queries, but also other interesting objects can move; 2) it performs an efficient processing of these queries in a continuous way; 3) it is especially well adapted to environments where location data are distributed in a network and processing tasks can be performed in parallel, allowing a high scalability; and 4) it optimizes wireless communications. We use mobile agents to carry the processing tasks wherever they are needed. Thus, agents are in charge of tracking the location of interesting moving objects and refreshing the answer to a query efficiently. We evaluate the usefulness of the presented proposal showing that the system achieves a good precision and scales up well.
A hierarchical microprocessor laboratory facility
Authors: Daniel W. Lewis
Venue: ACM SIGSMALL Newsletter (1980)

The microprocessor course offered by the Electrical Engineering and Computer Science department at the University of Santa Clara is a hardware/applications oriented course. Hardware interfacing as well as software is emphasized with laboratory equipment designed to facilitate hands-on hardware experience in a real-time environment. The needs of a real-time laboratory render the use of simulators and other non-real-time debugging tools inappropriate. Students should have individual hardware access as provided by single-board computers, and real-time analyzers or in-circuit emulators. Unfortunately, although such facilities are excellent for hardware development, their utility for software development is very restrictive. A hierarchical organization that provides software (top level) and hardware (bottom level) facilities will be described.
Will Existing CS, IT and IS Departments Really Deliver the Service Science, Management and Engineering Vision?
Authors: Steven Miller
Venue: Proceedings of the IEEE International Conference on e-Business Engineering (2006)

IBM has been strongly promoting the Service Science, Management & Engineering (SSME) vision, and encouraging the academic community to incorporate SSME content into its existing and new programs. But what will the existing Computer Science, Information Technology and Information Systems departments really do with respect to SSME? This panel brings together leaders from CS, IT, and IS departments from universities in Asia in order to honestly and frankly address the following issues.
Software Project Level Estimation Model Framework based on Bayesian Belief Networks
Authors: Hao Wang, Fei Peng, Chao Zhang, Andrej Pietschker
Venue: Proceedings of the Sixth International Conference on Quality Software (2006)

Software estimation models should support managerial decision making in software projects. We experience that most of current models do not achieve this goal to the extend managers are looking for. This paper presents a software project level estimation model framework based on Bayesian Belief Networks. The framework is constructed by using four basic BBN sub-models, component estimation, test effectiveness estimation, residual defect estimation and test estimation sub-models. The integration of these submodels achieves an estimation model suitable for project levels. With this project level estimation model, the estimation and analysis of quality, effort, schedule and scope can be carried out at both project level and specific project phase level. We show how this approach is used in a sample project, allowing project manager to implement an initial estimation, trade-off quality, effort, schedule and scope, and refine the estimation in the later phase of the project.
Emulation with DSOL
Authors: Peter H. M. Jacobs, Alexander Verbraeck, William Rengelink
Venue: Proceedings of the 37th conference on Winter simulation (2005)

Manufacturing control systems are extremely hard to design and test. Testing Programmable Logic Controller (PLC) software in an on-line manufacturing setting can be costly, dangerous, and inefficient. The availability of a seamless transition between the real manufacturing process and a simulated manufacturing process on the one hand, and a real PLC and a soft PLC on the other hand might help to solve these problems. Using the Java-based object oriented simulation library DSOL (Distributed Simulation Object Library), a case study was conducted for a concrete floor manufacturer to see whether these problems could be overcome. The full simulation and hardware-in-the-loop tests with DSOL, with the Modbus middleware protocol, and with real and soft PLCs went fine, and showed the added value of the distributed, service-oriented paradigm on which DSOL is based.
Tablet classroom interactions
Authors: Jodi Tutty, Barbara White
Venue: Proceedings of the 8th Austalian conference on Computing education - Volume 52 (2006)

At the start of this year, a new learning environment enabled the teaching in the first programming unit to change from a traditional model of separate lectures/practicals/tutorials to integrated workshops using wireless enabled tablet PCs. This restructure facilitated a more student centred and active learning approach. Consistent with other units taught using this approach an improvement in student outcomes, satisfaction and retention rates was observed in the programming unit. In this paper we argue that an important factor in this improvement has been the increased level of interaction both between staff and students and also among students themselves. In both constructivist and community of practice theories social interaction is seen as a critical ingredient in effective learning environments. Using the community of practice framework an analysis is made of the dynamics within the programming unit to examine the impact of these interaction factors on the complex nature of learning so as to better understand why the improvements are occurring.
Detecting Ads in Video Streams Using Acoustic and Visual Cues
Authors: Michele Covell, Shumeet Baluja, Michael Fink
Venue: Computer (2006)

A new technique provides accurate, efficient ad detection for online TV rebroadcasts.
Adventures in Promiscuous Pairing: Seeking Beginner's Mind
Authors: Mitch Lacey
Venue: Proceedings of the conference on AGILE 2006 (2006)

One of the core principles behind the Agile Manifesto is that of working at a sustainable pace over time. Having gone through the roller coaster of traditional software development approaches, this would be a welcome change. In the first three months of our project, however, we found ourselves unable to break the habit of burning ourselves out as each milestone approached. In an attempt to maintain working at a sustainable pace, we chose to experiment with the principles documented by Arlo Belshee in his paper "Promiscuous Pairing and Beginner's Mind: Embrace Inexperience". We thought seeking Beginner's Mind was the solution. What ensued was not what any of us expected. This paper is a snapshot in time, encompassing the month after the team returned from the Agile 2005 conference. This is our story and learnings.
A Split & Merge Data Management Architecture for a Grid Environment
Authors: Giovanni Aloisio, Massimo Cafaro, Sandro Fiore, Maria Mirto
Venue: Proceedings of the 19th IEEE Symposium on Computer-Based Medical Systems (2006)

Currently several applications produce huge amount of data making them available for postprocessing operations in order to infer new knowledge. Main issues of these applications are the need for efficient mechanisms to access data and high performance computing to obtain the results in an acceptable time. Wrapping the applications as Web Services allows interoperability with others tools and in particular with Grid Computing environments exploiting a large set of resources through a standard interface, to support the requirements of so-called "data intensive" applications that handle large amounts of data. This paper presents the architecture of a complex data managements system leveraging the grid Computing paradigm, exploiting existing middleware developed at the University of Lecce within the ProGenGrid, GRelC and GRB projects to support high throughput applications. This architecture has been specialized for a bioinformatics domain and a case study of the use of a biological application will be also described.
Online community and preservice teachers' conceptions of learning mathematics
Authors: Clare Brett, Earl Woodruff, Rod Nason
Venue: Proceedings of the 1999 conference on Computer support for collaborative learning (1999)

This paper reports on how a mathematical knowledge-building community was used to facilitate changes to a group of preservice teachers' conceptions of learning mathematics.
A Framework of the Impact of Cyberspace on Contemporary Organizations
Authors: Janusz Wielki
Venue: Proceedings of the 17th International Conference on Database and Expert Systems Applications (2006)

This paper is an attempt to create a holistic approach to the problem of the impact of the elements operating in cyberspace on an organization. Firstly, a classification of the entities operating in cyberspace is offered. Next, a taxonomy of the possible types of influences of the elements of cyberspace on an organization is presented. In the following part of the paper two matrices concerning types of direct and indirect impact of the above mentioned entities are provided along with examples. Finally, conclusions are offered.
Constrained Projection Approximation Algorithms for Principal Component Analysis
Authors: Seungjin Choi, Jong-Hoon Ahn, Andrzej Cichocki
Venue: Neural Processing Letters (2006)

In this paper, we introduce a new error measure, integrated reconstruction error (IRE) and show that the minimization of IRE leads to principal eigenvectors (without rotational ambiguity) of the data covariance matrix. Then, we present iterative algorithms for the IRE minimization, where we use the projection approximation. The proposed algorithm is referred to as COnstrained Projection Approximation (COPA) algorithm and its limiting case is called COPAL. Numerical experiments demonstrate that these algorithms successfully find exact principal eigenvectors of the data covariance matrix.
IOS standards in the insurance branch network: impact on market dynamics in the Netherlands
Authors: Alea Fairchild
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)

In the history of Dutch insurance, there has always been structural reliance on networks for economic reasons. How this networked environment, with its associated IOS standards, helps Dutch insurance firms create global advantage is the topic of this paper.We discuss the evolution of Dutch insurance, with a focus on the role of technology in changing the organizational structure of this industry. We examine the impact of interorganizational systems (IOS) on the operating environment, from specific empirical research on both messaging standards and back office operations within the Dutch domestic insurance network.
Blind code timing and carrier offset estimation for DS-CDMA systems
Authors: K. Amleh, Hongbin Li
Venue: Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 1 (2003)

In this paper we consider the problem of joint carrier offset and code timing estimation for CDMA (code division multiple access) systems. In contrast to most existing schemes which require multi-dimensional search over the parameter space, we propose a blind estimator that solves the joint estimation problem algebraically. By exploiting the noise subspace of the covariance matrix of the received data, the multiuser estimation is decoupled into parallel estimations of individual users, which makes computations efficient. The proposed estimator is non-iterative and near- far resistant. It can deal with frequency-selective and time-varying channels. The performance of the proposed scheme is illustrated by some computer simulations.
Routing in Networks with Low Doubling Dimension
Authors: Ittai Abraham, Cyril Gavoille, Andrew V. Goldberg, Dahlia Malkhi
Venue: Proceedings of the 26th IEEE International Conference on Distributed Computing Systems (2006)

This paper studies compact routing schemes for networks with low doubling dimension. Two variants are explored, name-independent routing and labeled routing. The key results obtained for this model are the following. First, we provide the first name-independent solution. Specifically, we achieve constant stretch and polylogarithmic storage. Second, we obtain the first truly scale-free solutions, namely, the network's aspect ratio is not a factor in the stretch. Scale-free schemes are given for three problem models: name-independent routing on graphs, labeled routing on metric spaces, and labeled routing on graphs. Third, we prove a lower bound requiring linear storage for stretch \gt 3 schemes. This has the important ramification of separating for the first time the name-independent problem model from the labeled model for these networks, since compact stretch-1+e labeled schemes are known to be possible.
Seeking Compliance Nirvana
Authors: Greg A. Nolann
Venue: Queue (2006)

Compliance. The mere mention of it brings to mind a harrowing list of questions and concerns. For example, who is complying and with what? With so many standards, laws, angles, intersections, overlaps, and consequences, who ultimately gets to determine if you are compliant or not? How do you determine what is in scope and what is not? And why do you instantly think of an audit when you hear the word compliance?
An fMRI Study of Syntactic Adaptation
Authors: U. Noppeney, C. J. Price
Venue: Journal of Cognitive Neuroscience (2004)

It is easier to produce and comprehend a series of sentences when they have similar syntactic structures. This ''syntactic priming'' effect was investigated during silent sentence reading using (i) blood oxygenation level-dependent (BOLD) response as a physiological measure in an f MRI study and (ii) reading time as a behavioral measure in a complementary self paced reading paradigm. We found that reading time and left anterior temporal activation were decreased when subjects read sentences with similar relative to dissimilar syntactic forms. Thus, syntactic adaptation during sentence comprehension is demonstrated in a neural area that has previously been linked to both lexical semantic and sentence processing.
Effects of Musical Expertise and Boundary Markers on Phrase Perception in Music
Authors: Christiane Neuhaus, Thomas R. Knösche, Angela D. Friederici
Venue: Journal of Cognitive Neuroscience (2006)

A neural correlate for phrase boundary perception in music has recently been identified in musicians. It is called music closure positive shift ("music CPS") and has an equivalent in the perception of speech ("language CPS"). The aim of the present study was to investigate the influence of musical expertise and different phrase boundary markers on the music CPS, using event-related brain potentials (ERPs) and event-related magnetic fields (ERFs). Musicians and nonmusicians were tested while listening to binary phrased melodies. ERPs and ERFs of both subject groups differed considerably from each other. Phrased melody versions evoked an electric CPS and a magnetic CPSm in musicians, but an early negativity and a less pronounced CPSm in nonmusicians, suggesting different perceptual strategies for both subject groups. Musicians seem to process musical phrases in a structured manner similar to language. Nonmusicians, in contrast, are thought to detect primarily discontinuity in the melodic input. Variations of acoustic cues in the vicinity of the phrase boundary reveal that the CPS is influenced by a number of parameters that are considered to indicate phrasing in melodies: pause length, length of the last tone preceding the pause, and harmonic function of this last tone. This is taken as evidence that the CPS mainly reflects higher cognitive processing of phrasing, rather than mere perception of pauses. Furthermore, results suggest that the ERP and MEG methods are sensitive to different aspects within phrase perception. For both subject groups, qualitatively different ERP components (CPS and early negativity) seem to reflect a top-down activation of general but different phrasing schemata, whereas quantitatively differing MEG signals appear to reflect gradual differences in the bottom-up processing of acoustic boundary markers.
Relational IBL in classical music
Authors: Asmir Tobudic, Gerhard Widmer
Venue: Machine Learning (2006)

It is well known that many hard tasks considered in machine learning and data mining can be solved in a rather simple and robust way with an instance- and distance-based approach. In this work we present another difficult task: learning, from large numbers of complex performances by concert pianists, to play music expressively. We model the problem as a multi-level decomposition and prediction task. We show that this is a fundamentally relational learning problem and propose a new similarity measure for structured objects, which is built into a relational instance-based learning algorithm named DISTALL. Experiments with data derived from a substantial number of Mozart piano sonata recordings by a skilled concert pianist demonstrate that the approach is viable. We show that the instance-based learner operating on structured, relational data outperforms a propositional k-NN algorithm. In qualitative terms, some of the piano performances produced by DISTALL after learning from the human artist are of substantial musical quality; one even won a prize in an international `computer music performance' contest. The experiments thus provide evidence of the capabilities of ILP in a highly complex domain such as music.
Multi-Sensory Face Biometric Fusion (for Personal Identification)
Authors: Ognjen Arandjelovic, Riad Hammoud
Venue: Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop (2006)

The objective of this work is to recognize faces using sets of images in visual and thermal spectra. This is challenging because the former is greatly affected by illumination changes, while the latter frequently contains occlusions due to eye-wear and is inherently less discriminative. Our method is based on a fusion of the two modalities. Specifically: we examine (i) the effects of preprocessing of data in each domain, (ii) the fusion of holistic and local facial appearance, and (iii) propose an algorithm for combining the similarity scores in visual and thermal spectra in the presence of prescription glasses and significant pose variations, using a small number of training images (5-7). Our system achieved a high correct identification rate of 97% on a freely available test set of 29 individuals and extreme illumination changes.
Laser control of quantum dynamics
Authors: P. A. Golovinski, P. V. Ryasnoy, V. M. Nazarov
Venue: Proceedings of the 2003 International Conference on Physics and Control - Volume 3 (2003)

The concept of ultrafast optimal control based on Schrodinger equation is developed for quantum systems. General properties of optimal dynamics are illustrated by computer simulation for two-level system and Morse potential. A number of maximums for transition probability are realized for different contributions of laser pulse parameters.
Interchanging discrete event simulation process-interaction models using the web ontology language - OWL
Authors: Lee W. Lacy
Venue: Proceedings of the 37th conference on Winter simulation (2005)

Discrete event simulation development requires significant investments in time and resources. Descriptions of discrete event simulation models are associated with world views, including the process-interaction orientation. Historically, these models have been encoded using high-level programming languages or special purpose (typically vendor-specific) simulation languages. These approaches complicate simulation model reuse and interchange. The current document-centric World Wide Web is evolving into a Semantic Web that communicates information using ontologies. The Web Ontology Language - OWL, was used to encode an ontology for representing discrete event process-interaction models (DEPIM). The DEPIM ontology was developed using ontology engineering processes. The purpose of DEPIM is to provide a vendor-neutral open representation to support model interchange. Model interchange provides an opportunity to improve simulation quality, reduce development costs, and reduce development times.