ppxscal/embedding_network huggingface dataset:
Design, Implementation and Evaluation of a Remote Laboratory System for Electrical Engineering Courses
Authors: Dimitris Karadimas, Kostas Efstathiou
Venue: Proceedings of the Sixth IEEE International Conference on Advanced Learning Technologies (2006)

This paper describes an Internet-based laboratory, named Remote Monitored and Controlled Laboratory (RMCLab) developed at University of Patras for electrical engineering laboratory education. The key feature of this remote laboratory is the utilization of real experiments, in terms of instrumentation and lab circuits, rather than simulation or virtual reality environment. RMCLab is able to provide affordably and simultaneously its services to many users through the Internet. A wide variety of lab experiments are supported, including not only fixed circuits but also students' custom circuit designs; thus contributing to students' authentic understanding of theory subjects. RMCLab can be accessed via the web through http://www.apel.ee.upatras.gr/rmclab.
A Value-Based Foundation for Service Modelling
Authors: Martin Henkel, Erik Perjons, Jelena Zdravkovic, Christer Domeij, Gunnar Appehl
Venue: Proceedings of the European Conference on Web Services (2006)

A broader use of e-services for cross enterprise collaboration requires the services to be analysed and designed with a clear business focus. From a business perspective, the e-services must support the primary values that an organization strives for. From an operational perspective, the e-services must be devised such that they support the day-to-day activities in the business. In this paper, we report on an effort to use value models and "service process models" as the foundation for analysis and design of e-services. Value models facilitate the exploration of new e-services, whereas service process models relate e-services to specific activities in an organization's business processes. We elicited a set of principles and models for analysis and design of e-services, and we discussed the experiences of practicing the principles in a project from the health sector. Having a well-defined alignment of software and business values provides benefits for service requirement gathering, service identification and service validation.
A symmetric convexity measure
Authors: Paul L. Rosin, Christine L. Mumford
Venue: Computer Vision and Image Understanding (2006)

A new area-based convexity measure for polygons is described. It has the desirable properties that it is not sensitive to small boundary defects, and it is more symmetric with respect to intrusions and protrusions than other published convexity measures. The measure requires a maximally overlapping convex polygon, and this is efficiently estimated using a genetic algorithm (GA1). A second genetic algorithm (GA2) is then used to fine tune the result. In addition, the convex polygon is used to generate other values, measuring the amount of protrusions and intrusions that a polygon contains. Furthermore, the scheme can be modified to find the convex skull, which yields another new convexity measure. Examples of the measures' application to medical image analysis are shown.
Affective Student Modeling Based on Microphone and Keyboard User Actions
Authors: Efthymios Alepis, Maria Virvou, Katerina Kabassi
Venue: Proceedings of the Sixth IEEE International Conference on Advanced Learning Technologies (2006)

This paper presents an affective educational application that bases its inferences about students' emotions on user evidence provided by the keyboard and the microphone. The actual combination of evidence from these two modes of interaction has been performed based on our innovative inference mechanism for emotions that uses stereotypes of users' affective reactions and a multi-criteria decision making theory. The user stereotypes have been resulted from an empirical study that resulted in recording common user reactions of the target group of users of the educational application.
Managing clouds: a case for a fresh look at large unreliable dynamic networks
Authors: Ozalp Babaoglu, Márk Jelasity, Anne-Marie Kermarrec, Alberto Montresor, Maarten van Steen
Venue: ACM SIGOPS Operating Systems Review (2006)

Peer-to-peer (P2P) protocols have proven efficient to provide scalable support to many large-scale distributed applications, successfully coping with unreliability and dynamics. However, to exploit them in a wider range of environments, such as very large-scale networks of smartphones or set-top boxes, it is imperative to make P2P protocols manageable: we need to be able to start, bootstrap and stop protocols, and assign resources dynamically. In this paper we present a general-purpose framework aimed to support several fully distributed applications running independently over a very large scale and dynamic pool of resources. We call this resource pool a cloud. The basic idea of the framework is a declarative application suit description, that describes what applications should be running on what resources, and a middleware that makes sure the currently available and dynamic cloud self-organizes into the configuration represented by the description, creating the subclouds that are assigned to applications. The middleware also provides additional functionality, such as bootstrapping overlay networks, to support the applications. Our preliminary ideas on the implementation rely on various gossip-based protocols, that are applied to form the subclouds and to implement bootstrapping, monitoring and control services. Most of all, this position paper sets an exciting research agenda to fully exploit the possibilities offered by very large scale dynamic networks.
Analyzing characteristics of task structures to develop GPGP coordination mechanisms
Authors: Wei Chen, Keith S. Decker
Venue: Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems (2006)

Previous research about multi-agent coordination has concentrated at a high level, e.g. developing communication protocols for coordination, constructing special purpose agents to dictate the coordination behaviors of an entire system, or associating rules or coordination mechanisms with every agent to achieve cooperative behaviors. Much less research addresses multi-agent coordination at a low level: evaluating the effects of agents' task structures upon agents' coordination behaviors. This paper presents an Extended Hierarchical Task Network (EHTN) to represent precisely those structural features that affect coordination. Using this EHTN formalism, an extended set of Generalized Partial Global Planning (GPGP) coordination mechanisms has been developed for multi-agent coordination. Each coordination mechanism is defined in terms of EHTN rewriting rules and an associated set of pre-defined EHTN behaviors. This set of GPGP coordination mechanisms has been applied to a simulated emergency medical service (EMS) system. The experimental results reveal some of the performance relationships between specific mechanisms and external environmental characteristics.
A Prototype Infrastructure for the Secure Aggregation of Imaging and Pathology Data for Colorectal Cancer Care
Authors: Mark Slaymaker, Andrew Simpson, Mike Brady, David Gavaghan, Fiona Reddington, Phil Quirke
Venue: Proceedings of the 19th IEEE Symposium on Computer-Based Medical Systems (2006)

In recent years, a significant number of developments across a broad range of disciplines have allowed researchers and clinicians to start to build up a picture of cancer development. In this paper we report upon the development of a prototype of a secure distributed infrastructure that links imaging data from pathology and radiology. The intention is that a fully-developed system will be capable of supporting studies that will examine whether prognostic and diagnostic features which are apparent in histopathological sections and clinical scans are related. Further, these studies will consider whether these features can be meaningfully linked into a diagnostic or predictive profile. The project in which the prototype is being developed naturally involves a large degree of cooperation across various disciplines. The focus of this paper is primarily on the development of the underlying prototype infrastructure.
A Shape Feature Extraction Method Based on 3D Convolution Masks
Authors: Motofumi T. Suzuki, Yoshitomo Yaginuma, Tsuneo Yamada, Yasutaka Shimizu
Venue: Proceedings of the Eighth IEEE International Symposium on Multimedia (2006)

Texture analysis is important in 2D image classification, recognition, segmentation and detection. Although a significant amount of work has been done on 2D image data analysis, techniques for analyzing 3D volume data such as 3D solid textures have not been investigated sufficiently. In this research, we have extended the well-known Laws' texture energy approach to handle 3D solid textures. In our approach, the Laws' texture kernels are convolved together to generate three dimensional masks (3×3×3) while traditional approaches use 2D masks (3 × 3). The extended 3D Laws' convolution masks make it possible to analyze 3D solid texture databases. Our preliminary experiment shows that the 3D masks are capable of extracting shape features directly from 3D solid textures, although traditional techniques indirectly extract shape features from a sequence of 2D images which are sliced from 3D solid textures. The 3D mask can be used for various 3D solid texture analysis techniques including similarity retrieval, classification, recognition, and segmentation.
Trace based analysis of process interaction models
Authors: Peter Kemper, Carsten Tepper
Venue: Proceedings of the 37th conference on Winter simulation (2005)

Simulation models of real world systems may have a complex dynamic behavior that has an impact on measures of interest but its causes are hard to detect by statistic measures commonly computed in a simulation run. Most simulators are able to document the details of a simulation run in a trace file. We propose a trace-based analysis and visualization method that allows us to identify reasons for large confidence intervals, high variances in lead times and correlations among delays. The technique is implemented in a stand alone tool for trace analysis that has been evaluated for the ProC/B modeling and simulation framework. We illustrate the visualization technique with the help of a ProC/B model of a warehouse.
Efficient secure aggregation in VANETs
Authors: Maxim Raya, Adel Aziz, Jean-Pierre Hubaux
Venue: Proceedings of the 3rd international workshop on Vehicular ad hoc networks (2006)

In VANETs, better communication efficiency can be achieved by sacrificing security and vice versa. But VANETs cannot get started without either of them. In this paper, we propose a set of mechanisms that can actually reconcile these two contradictory requirements. The main idea is to use message aggregation and group communication. The first class of solutions is based on asymmetric cryptographic primitives, the second class uses symmetric ones, and the third one mixes the two. We have also evaluated the performance potential of one technique and arrived at the conclusion that aggregation in VANETs increases not only efficiency but also security.
Weak wave generation control in variational wave equation
Authors: A. A. Melikyan
Venue: Proceedings of the 2003 International Conference on Physics and Control - Volume 4 (2003)

Nonsmooth solutions to multiple integral variational problems are considered. Using the method of singular characteristics (MSC) an ODE system is derived describing the propagation of weak waves (jumps of the solution's gradient). Special consideration is given for so-called variational wave equation, where weak waves are generated by singularities in the initial data. The number and the character of the arising waves and the phenomenon of bifurcation of the weak waves (singular lines) are studied using analytical and numerical methods.
Common problems and helpful hints to solve them: lessons learned in integrating cognitive models in large-scale simulation environments
Authors: Karen A. Harper, Greg L. Zacharias
Venue: Proceedings of the 36th conference on Winter simulation (2004)

The application of M&S simulation technologies to advanced analysis and training functions throughout the DoD has led to an increasing need for higher fidelity representations of human decision-making behavior than is currently available in most military simulation behavior engines. The appropriate path to meet this need is to incorporate cognitive models from the Human Behavior Representation (HBR) community that provide psychologically-rooted representations of decision-making behavior and performance. There are significant challenges associated with the integration of these models within complex simulation environments, however. Here, we attempt to identify some of these challenges and provide design strategies to overcome them. Specifically, we provide strategies for selecting appropriate modeling resolution for specific applications, dynamically managing the resolution of those models throughout a simulation run, and dealing with the general mismatch of sensor and control data between simulation environments and HBR models.
(α, k)-anonymity: an enhanced k-anonymity model for privacy preserving data publishing
Authors: Raymond Chi-Wing Wong, Jiuyong Li, Ada Wai-Chee Fu, Ke Wang
Venue: Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining (2006)

Privacy preservation is an important issue in the release of data for mining purposes. The k-anonymity model has been introduced for protecting individual identification. Recent studies show that a more sophisticated model is necessary to protect the association of individuals to sensitive information. In this paper, we propose an (α, k)-anonymity model to protect both identifications and relationships to sensitive information in data. We discuss the properties of (α, k)-anonymity model. We prove that the optimal (α, k)-anonymity problem is NP-hard. We first presentan optimal global-recoding method for the (α, k)-anonymity problem. Next we propose a local-recoding algorithm which is more scalable and result in less data distortion. The effectiveness and efficiency are shown by experiments. We also describe how the model can be extended to more general case.
Real-Time Simulation and Visualization of Subject-Specific 3D Lung Dynamics
Authors: Anand P. Santhanam, Cali M. Fidopiastis, Paul Davenport, Katja Langen, Sanford Meeks, Jannick P. Rolland
Venue: Proceedings of the 19th IEEE Symposium on Computer-Based Medical Systems (2006)

In this paper we discuss a framework for modeling the 3D lung dynamics of normal and diseased human subjects and visualizing them using an Augmented Reality (AR) based environment. The framework is based on the results obtained from pulmonary function tests and lung image-data of human subjects obtained from 4D High-Resolution Computed Tomography (HRCT). The components of the framework include a parameterized pressure-volume (PV) relation estimated from normal human subjects, and a physics and physiology-based 3D deformable lung model extracted from the 4D HRCT data of normal and tumor-influenced human subjects. The parameterized PV relation allows modeling different breathing conditions of a human subject. The 3D deformable lung model allows visualizing the 3D shape changes of the lung for the breathing condition simulated by the PV relation. Additionally, the 3D lung model is deformed using a graphics processing unit (GPU) and its vertex shaders, which satisfies the real-time frame-rate requirements of the AR environment.
Phase relations in the synchronized motion of two-pendulum system
Authors: B. R. Andrievsky
Venue: Proceedings of the 2003 International Conference on Physics and Control - Volume 2 (2003)

The synchronization phenomenon in nonlinear oscillating system is studied by means of examination of the coupled pendulums. Dependence the of phase shift between pendulum states on system parameters and initial conditions is studied both analytically and numerically. The harmonic linearization (HL) technique is applied for analytical examinations.
Algorithm for multiple faces tracking
Authors: C. Lerdsudwichai, M. Abdel-Mottaleb
Venue: Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 1 (2003)

Robust real-time face tracking is a challenging task. This paper presents an algorithm for tracking faces of multiple people even in case of total occlusion. The method uses the color distribution of each face with the mean shift tracking method. Mean shift tracking is fast and robust to partial occlusion, and it is rotation invariant and computationally efficient. Since the mean shift algorithm does not deal with the problem of total occlusion, we overcome this problem by using an occlusion grid to detect occlusion. We then use the color distribution of the occluded person's clothes to distinguish that person after the occlusion ends. We also use the speed and the trajectory of the occluded person to predict the locations that should be searched after occlusion ends. The proposed face tracking method integrates multiple features to handle tracking of multiple people even in case of occlusion. The experiments show the robustness of the algorithm.
Discrete time signals which can be recovered from samples
Authors: P. P. Vaidyanathan, See-May Phoong
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1995. on International Conference - Volume 02 (1995)

If a discrete time signal x(n) is bandlimited appropriately we can decimate it without aliasing. However, there exists a broad class of non bandlimited signals which can be recovered perfectly from their decimated versions. We consider both uniform and nonuniform decimation of this kind and explore some applications, especially in noise shaping and in /spl Sigma/-/spl Delta/ modulator type of architectures.
Dynamic Class Provisioning on Mobile Devices
Authors: Laurentiu Lucian Petrea, Dan Grigoras
Venue: Proceedings of the Proceedings of The Fifth International Symposium on Parallel and Distributed Computing (2006)

Mobile devices are characterized by low processing power, limited communication bandwidth, limited storage space and rudimentary input and output systems. Networks of such devices are mainly the medium for data exchange. Dynamic code exchange is a feature that is not supported in this environment even though communication is easily achieved. This paper proposes a flexible class loader for the Java Connected Limited Device Configuration (CLDC). Introducing a dynamic remote class loader on the CLDC is necessary in order to efficiently deploy the platform into mobile wireless networks. The proposed solution is compared with other possible solutions and is evaluated in relation to existing systems.
Optimal Synchronizable Test Sequence from Test Segments
Authors: J. Chen, L. Duan
Venue: Proceedings of the Sixth International Conference on Quality Software (2006)

Finite-state-machine-based conformance testing has been extensively studied in the literature in the context of centralized test architecture. With a distributed test architecture which involves multiple remote testers, the application of a test sequence may encounter controllability problems. One of the possible solutions to overcome this problem is to carefully select a suitable test sequence so that its application to the implementation under test will not involve controllability problems. A common problem in doing so is to generate a test sequence, avoiding controllability problems during its application in the test procedure, so that all given test segments have been contained in the test sequence. In this paper, we present an optimal solution to this problem, taking into account possible overlaps among the test segments.
General and domain-specific influence of prior knowledge on setting of goals and content use in museum websites
Authors: Javier Corredor
Venue: Computers Education (2006)

This article explores the influence of prior knowledge on the setting of goals and use of content in museum website visits. Goal setting is a crucial process in organizing the activities of surfers in open environments, such as museum websites, where surfers faced ill-defined tasks. To this end, 12 graduate students were asked to surf through two museum websites in different domains (anthropology and natural sciences). Half of the participants had robust background in anthropology. Within each of these groups, half of the students had spent more than four years in graduate school, while the other half were first year students. Visited pages and concurrent comments were recorded, coded and analyzed. Results showed that domain specific knowledge influences goal setting process. Visitors with high domain knowledge tended to set larger and more consistent goal structures than first year students. Results showed also that general previous knowledge influences content use. Surfers with higher general skills tended to elaborate more on content and use more intensively the information available at the websites.
On Person Authentication by Fusing Visual and Thermal Face Biometrics
Authors: Ognjen Arandjelovic, Riad Hammoud, Roberto Cipolla
Venue: Proceedings of the IEEE International Conference on Video and Signal Based Surveillance (2006)

Recognition algorithms that use data obtained by imaging faces in the thermal spectrum are promising in achieving invariance to extreme illumination changes that are often present in practice. In this paper we analyze the performance of a recently proposed face recognition algorithm that combines visual and thermal modalities by decision level fusion. We examine (i) the effects of the proposed data preprocessing in each domain, (ii) the contribution to improved recognition of different types of features, (iii) the importance of prescription glasses detection, in the context of both 1-to-N and 1-to-1 matching (recognition vs. verification performance). Finally, we discuss the significance of our results and, in particular, identify a number of limitations of the current state-of-the-art and propose promising directions for future research.
A Platform for the Development of Spoken Dialog Systems
Authors: Emilio Sanchis, David Griol, Lluis Hurtado, Encarna Segarra
Venue: Proceedings of the International Conference on Software Engineering Advances (2006)

In this paper, we present a platform for the development of dialog systems. The architecture is organized in modules, each of which accomplishes a specific objective. Communication among modules is done by means of transmission of XML data packages through sockets. This platform allows for multimodal communication and permits an easy interchange of modules, so that the change of language or task is straightforward. In our system, most of the modules use stochastic models for the representation of the different knowledge sources involved in the dialog process. These models are automatically learnt from corpora of training data. We also present a dialog system developed with this platform. The task of the dialog system presented is the access to information about train timetables and prices of trains in Spanish.