ppxscal/embedding_network huggingface dataset:
Fuzzy Symbolic Dynamics for Neurodynamical Systems
Authors: Krzysztof Dobosz, Włodzisław Duch
Venue: Proceedings of the 18th international conference on Artificial Neural Networks, Part II (2008)

Neurodynamical systems are characterized by a large number of signal streams, measuring activity of individual neurons, local field potentials, aggregated electrical (EEG) or magnetic potentials (MEG), oxygen use (fMRI) or concentration of radioactive traces (PET) in different parts of the brain. Various basis set decomposition techniques try to discover components that carry meaningful information are used to analyze such signals, but these techniques tell us little about the activity of the whole system. Fuzzy Symbolic Dynamics (FSD) may be used for dimensionality reduction of high-dimensional signals, defining non-linear mapping for visualization of trajectories that shows various aspects of signals that are difficult to discover looking at individual components, or to notice observing dynamical visualizations. FSD can be applied to raw signals, transformed signals (for example, ICA components), or to signals defined in the time-frequency domain. Visualization of a model system with artificial radial oscillatory sources, and of the output layer (50 neurons) of a neural Respiratory Rhythm Generator model (RRG) that includes 300 spiking neural units, are presented to illustrate the method.
Context-Dependent User Modelling for Smart Homes
Authors: Elena Vildjiounaite, Otilia Kocsis, Vesa Kyllönen, Basilis Kladis
Venue: Proceedings of the 11th international conference on User Modeling (2007)

This works presents a user modelling service for a Smart Home --- intelligent context-aware environment, providing personalized proactive support to its inhabitants. Diversity of Smart Home applications imposes various technical and implementation requirements, such as the need to model dependency of user preferences on context in a unified and convenient way, both for users and for application developers. This paper introduces the service architecture and currently implemented functionalities: stereotypes-based profiles initialisation; a GUI for acquisition of context-dependent and context-independent preferences, which provides an easy way to create own concepts of context ontology and to map them into already existing concepts; and a method to learn context-dependent user preferences from interaction history.
Organic User Interfaces (Oui!): Designing Computers in Any Way Shape or Form
Authors: Roel Vertegaal
Venue: Proceedings of the 6th international conference on Unconventional Computation (2007)

Over the past few years, there has been a quiet revolution in display manufacturing technology. One that is only comparable in scope to that of the invention of the first LCD, which led to DynaBook and the modern laptop. E-ink electrophoretic pixel technology, combined with advances in organic thin-film circuit substrates, have led to displays that are so thin and flexible they are beginning to resemble paper. Soon displays will completely mimic the high contrast, low power consumption and flexibility of printed media. As with the invention of the first LCD, this means we are on the brink of a new paradigm in computer user interface design: one in which computers can have any organic form or shape. One where any object, no matter how complex, dynamic or flexible its structure, may display information. One where the deformation of shape is a main source of input.This new paradigm of Organic User Interface (Oui!) requires a new set of design guidelines, which I will discuss in this presentation. These guidelines were inspired by architecture, which went through a similar transformation decades ago. In Oui! The Input Device Is The Output Device (TIDISTOD), Form dynamically follows Flow of activities of the human body, and Function equals Form. I will give an overview of technologies that led to Organic UI, such as Tangible UI and Digital Desks, after which I will discuss some of the first real Oui! interfaces, which include Gummi and PaperWindows. PaperWindows, which was developed at HML, is the first real paper computer. It uses computer vision to track sheets of real paper in real time. Page shape is modeled in 3D, textured with windows and projected back onto the paper, making for a wireless hi-res flexible color display. Interactions with PaperWindows take place through hand gestures and paper folding techniques.
Collection and Annotation of a Corpus of Human-Human Multimodal Interactions: Emotion and Others Anthropomorphic Characteristics
Authors: Aurélie Zara, Valérie Maffiolo, Jean Claude Martin, Laurence Devillers
Venue: Proceedings of the 2nd international conference on Affective Computing and Intelligent Interaction (2007)

In order to design affective interactive systems, experimental grounding is required for studying expressions of emotion during interaction. In this paper, we present the EmoTaboo protocol for the collection of multimodal emotional behaviours occurring during human-human interactions in a game context. First annotations revealed that the collected data contains various multimodal expressions of emotions and other mental states. In order to reduce the influence of language via a predetermined set of labels and to take into account differences between coders in their capacity to verbalize their perception, we introduce a new annotation methodology based on 1) a hierarchical taxonomy of emotion-related words, and 2) the design of the annotation interface. Future directions include the implementation of such an annotation tool and its evaluation for the annotation of multimodal interactive and emotional behaviours. We will also extend our first annotation scheme to several other characteristics interdependent of emotions.
Three Parameters Refinement for Distributed 3D-Image Rendering
Authors: Dariusz Król, Adam Bogdał
Venue: Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part I (2008)

In this study, we present Java-based architecture for 3D-image rendering that supports distributed processing between autonomous nodes. We aim to improve the performance of presented system by decreasing computational time. Our research consists of three major parts: modification of thread priority, multiplication tasks on single machine and dynamic changing the bucket size. Presented results indicate that we succeed on average more than 20 percent compared with the original rendering system.
Reference Management in a Loosely Coupled, Distributed Information System
Authors: Matthias Grossmann, Nicola Hönle, Daniela Nicklas, Bernhard Mitschang
Venue: Proceedings of the 12th East European conference on Advances in Databases and Information Systems (2008)

References between objects in loosely coupled distributed information systems pose a problem. On the one hand, one tries to avoid referential inconsistencies like, e.g., dangling links in the WWW. On the other hand, using strict constraints as in databases may restrict the data providers severely. We present the solution to this problem that we developed for the Nexus system. The approach tolerates referential inconsistencies in the data while providing consistent query answers to users. For traversing references, we present a concept based on return references. This concept is especially suitable for infrequent object migrations and provides a good query performance. For scenarios where object migrations are frequent, we developed an alternative concept based on a distributed hash table.
Efficient Incremental Model for Learning Context-Free Grammars from Positive Structural Examples
Authors: Gend Lal Prajapati, Narendra S. Chaudhari, Manohar Chandwani
Venue: Proceedings of the 5th Hellenic conference on Artificial Intelligence: Theories, Models and Applications (2008)

This paper describes a formalization based on tree automata for incremental learning of context-free grammars from positive samples of their structural descriptions. A structural description of a context-free grammar is a derivation tree of the grammar in which labels are removed. The tree automata based learning in this paradigm is early introduced by Sakakibara in 1992, however his scheme assumes that all training examples are available to the learning algorithm at the beginning (i.e., it cannot be employed as an online learning) and also it doesn't optimize the storage requirements as well. Our model has several desirable features that runs in O(n 3) time in the sum of the sizes of the input examples, obtains O(n) storage space saving, achieves good incremental behavior by updating a guess incrementally and infers a grammar from positive-only examples efficiently. Several examples and experimental results are given to illustrate the scheme and its efficient execution.
Education and the Semantic Web
Authors: Vladan Devedzic
Venue: International Journal of Artificial Intelligence in Education (2004)

Recent developments in Web technologies and using AI techniques to support efforts in making the Web more intelligent and provide higher-level services to its users have opened the door to building the Semantic Web. That fact has a number of important implications for Web-based education, since Web-based education has become a very important branch of educational technology. Classroom independence and platform independence of Web-based education, availability of authoring tools for developing Web-based courseware, cheap and efficient storage and distribution of course materials, hyperlinks to suggested readings, digital libraries, and other sources of references relevant for the course are but a few of a number of clear advantages of Web-based education. However, there are several challenges in improving Web-based education, such as providing for more adaptivity and intelligence. Developments in the Semantic Web, while contributing to the solution to these problems, also raise new issues that must be considered if we are to progress. This paper surveys the basics of the Semantic Web and discusses its importance in future Web-based educational applications.
Cognitive Technical Systems -- What Is the Role of Artificial Intelligence?
Authors: Michael Beetz, Martin Buss, Dirk Wollherr
Venue: Proceedings of the 30th annual German conference on Advances in Artificial Intelligence (2007)

The newly established cluster of excellence CoTeSys investigates the realization of cognitive capabilities such as perception, learning, reasoning, planning, and execution for technical systems including humanoid robots, flexible manufacturing systems, and autonomous vehicles. In this paper we describe cognitive technical systems using a sensor-equipped kitchen with a robotic assistant as an example. We will particularly consider the role of Artificial Intelligence in the research enterprise.Key research foci of Artificial Intelligence research in CoTeSys include (¿) symbolic representations grounded in perception and action, (¿) first-order probabilistic representations of actions, objects, and situations, (¿) reasoning about objects and situations in the context of everyday manipulation tasks, and (¿) the representation and revision of robot plans for everyday activity.
Automatic Evaluation Tool for Multimodal Dialogue Systems
Authors: Hugo Wesseling, Matthias Bezold, Nicole Beringer
Venue: Proceedings of the 4th IEEE tutorial and research workshop on Perception and Interactive Technologies for Speech-Based Systems: Perception in Multimodal Dialogue Systems (2008)

This paper presents a system built for improving the evaluation process of multimodal dialogue systems by providing a graphical representation of event-based recording data. Low-level information from recordings can visually be combined to form higher-level actions using pattern definitions to create a hierarchy of actions. Actions are visually represented by a multitrack player-like view where all modalities of the recording can be watched and manipulated. But besides tagging and derivation of higher-level actions, further help is provided by a correlation analysis and an export of charts and tables to Microsoft Excel. The tool is tested on recording data and questionnaire answers obtained from Wizard of Oz (WOZ) experiments performed within the DICIT project.
Semantics of Deterministic Shared-Memory Systems
Authors: Rémi Morin
Venue: Proceedings of the 19th international conference on Concurrency Theory (2008)

We investigate a general model of concurrency for shared-memory systems. We introduce some intuitive interleaving semantics within the general framework of automata with concurrency relations and connect it to some partial order approach. Then our main result identifies the expressive power of finite deterministic shared-memory systems with the notion of regular consistent sets of labeled partial orders. We characterize also by means of a coherence property the languages recognized by deadlock-free systems.
DESCRY: A Method for Evaluating Decision-Supporting Capabilities of Requirements Engineering Tools
Authors: Beatrice Alenljung, Anne Persson
Venue: Proceedings of the 14th international conference on Requirements Engineering: Foundation for Software Quality (2008)

Complex decision-making is a prominent aspect of requirements engineering (RE) and the need for improved decision support for RE decision-makers has been identified by a number of authors in the research literature. Decision-supporting features and qualities can be integrated in RE tools. Thus, there is a need to evaluate the decision-supporting capabilities of RE tools. In this paper, we introduce a summative, criteria-based evaluation method termed DESCRY, which purpose is to investigate to what extent RE tools have decision-supporting capabilities. The criteria and their related questions are empirically as well as theoretically grounded.
On solving univariate polynomial equations over finite fields and some related problems
Authors: Lawrence C. Washington, Clyde P. Kruskal
Venue:  (2007)

In this thesis, we are mainly interested in constructing deterministic polynomial-time algorithms for solving some computational problems that arise in number theory and cryptography. The problems we are interested in include finite field arithmetic, primality testing, and elliptic curve arithmetic. We first present a novel idea to compute square roots over some families of finite fields. Our square root algorithm is deterministic polynomial-time and can be proved by elementary means. The approach of taking square roots is generalized to take nth roots. Then, we present a deterministic polynomial-time algorithm to solve polynomial equations over some families of finite fields. As applications, we construct a deterministic polynomial-time primality test for some forms of integers and show a deterministic polynomial-time algorithm computing elliptic curve "nth roots". For example, we prove the following statements. Denote a finite field with q elements and characteristic p by Fq . (I) Suppose p &equiv; 1 (mod 12), q = 2e3ft + 1 for some e, f &ge; 1 and some t = O(poly(log q)). There is a deterministic polynomial time algorithm taking square roots over Fq . (II) Let re11...rem m be the prime factorization of q &minus; 1. Suppose rj = O(poly(log q)) and a primitive rjth root of unity can be computed efficiently for 1 &le; j &le; m. There is a deterministic polynomial time algorithm solving any polynomial equation with degree O(poly(log q)) over Fq . (III) Let N = ret + 1 for some prime r and some positive integers t and e with re > t. There is an &Otilde;(r 2(log2 N)(t+ r log N)) deterministic primality testing algorithm. If r is a small constant and t = O(log N), the running time is &Otilde;(log 3 N).
Modeling Spatial Relations between Places to Support Geographic Information Retrieval
Authors: Alia I. Abdelmoty, Baher A. El-Geresy
Venue: Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part II (2008)

Geo-ontologies have a key role to play in the development of the geospatial-semantic web, with regard to facilitating the search for geographical information and resources. They normally hold large amounts of geographic information and undergo a continuous process of revision and update. This paper proposes a novel qualitative representation scheme to structure geo-ontology A-Boxes. The scheme captures two types of spatial relationships between geo-objects, namely, adjacency and orientation. It facilitates qualitative manipulation of the data and the efficient derivation of implicit information using spatial reasoning techniques.
TCAM Architecture for IP Lookup Using Prefix Properties
Authors: Ravikumar V.C., Rabi N. Mahapatra
Venue: IEEE Micro (2004)

Ternary content-addressable memory (TCAM) is a popular hardware device for fast routing lookup. Though useful, TCAM arrays have high power consumption and heat dissipation, problems alleviated by reducing the number of routing-table entries. The authors present an approach that exploits two properties of prefixes to compact the routing table.
Robust People Detection by Fusion of Evidence from Multiple Methods
Authors: Víctor Fernández-Carbajales, Miguel Ángel García García, José M. Martínez
Venue: Proceedings of the 2008 Ninth International Workshop on Image Analysis for Multimedia Interactive Services (2008)

This paper describes and evaluates an algorithm for real-time people detection in video sequences based on the fusion of evidence provided by three simple independent people detectors. Experiments with real video sequences show that the proposed integration-based approach is effective, robust and fast by combining simple algorithms.
Playback of mixed multimedia document
Authors: Cyril Concolato, Jean Le Feuvre
Venue: Proceeding of the eighth ACM symposium on Document engineering (2008)

Many multimedia languages exist today to describe animated, interactive, 2D or 3D graphics and media elements, and each language has its merits. We studied the problems underlying the integration of all these languages in a single player. We present here the result of this work, and in particular, we demonstrate the mixed playback of SVG, BIFS, LASeR, Flash or VRML/X3D content.
Designing Collaborative Learning and Innovation Systems for Education Professionals
Authors: Albert A. Angehrn, Katrina Maxwell, A. Marco Luccini, Federico Rajola
Venue: Proceedings of the 1st world summit on The Knowledge Society: Emerging Technologies and Information Systems for the Knowledge Society (2008)

Designing online systems to stimulate and support knowledge exchange, collaborative learning and innovation in distributed communities of professionals is a challenging task. In this paper we document the design of CMTube, a system aimed at stimulating and supporting value-adding online interactions among a distributed group of independent higher education professionals using the same learning approach, i.e., a management simulation. CMTube is based on latest web trends and makes extensive use of video, profiling, game dynamics, agents and network visualizations in order to capture the attention and involvement of community members by generating three different types of value: connection value, actionable learning value, as well as entertainment and instant gratification value. We also discuss the assessment of these different value dimensions, as well as ongoing and planned research directions.
Electromagnetic Levitation System with Clustering Based Fuzzy Controller
Authors: Min-Soo Kim, Yeun-Sub Byun
Venue: Proceedings of the 8th international conference on Adaptive and Natural Computing Algorithms, Part I (2007)

This paper describes the development of a clustering based fuzzy controller of an electromagnetic suspension vehicle using gain scheduling method and Kalman filter for a simplified single magnet system. Electromagnetic suspension vehicle systems are highly nonlinear and essentially unstable systems. For achieving the levitation control, we considered a fuzzy system modeling method based on clustering algorithm which a set of input/output data is collected from the well defined Linear Quadratic Gaussian (LQG) controller. Simulation results show that the proposed clustering based fuzzy controller robustly yields uniform performance over the mass variation range.
Coupled Navier-Stokes/DSMC Method for Transient and Steady-State Gas Flows
Authors: Giannandrea Abbate, Barend J. Thijsse, Chris R. Kleijn
Venue: Proceedings of the 7th international conference on Computational Science, Part I: ICCS 2007 (2007)

An adaptatively coupled continuum-DSMC approach for co-mpressible, viscous gas flows has been developed. The continuum domain is described by the unsteady Navier-Stokes equations, solved using a finite volume formulation in compressible form to capture the shock. The molecular domain is solved by the Direct Simulation Monte Carlo method (DSMC). The coupling procedure is an overlapped Schwarz method with Dirichlet-Dirichlet boundary conditions. The domains are determined automatically by computing the Kn number with respect to the local gradients length scale. The method has been applied to simulate a 1-D shock tube problem and a 2-D expanding jet in a low pressure chamber.
The appropriation of e-mail and the Internet by members of the Swiss Parliament
Authors: Jean-Loup Chappelet
Venue: Information Polity (2004)

As with the rest of Swiss society, the use of e-mail and the Internet by members of the Swiss Parliament dates back to the mid 1990s. This paper studies the appropriation of these two new information and communication technologies by Swiss MPs a few years later, at the beginning of the 21st century when most Swiss MPs published their e-mail addresses on the parliament website. The study is based on an Internet questionnaire that surveyed both the MPs' use and opinions of the Internet and e-mail in their political and "civilian" lives. Further to the analysis of raw data, differences in appropriation are displayed in relation to socio-cultural and demographic variables. These findings could be of interest to larger countries than Switzerland which share one of its languages and cultures.
Efficient Key Predistribution for Grid-Based Wireless Sensor Networks
Authors: Simon R. Blackburn, Tuvi Etzion, Keith M. Martin, Maura B. Paterson
Venue: Proceedings of the 3rd international conference on Information Theoretic Security (2008)

In this paper we propose a new key predistribution scheme for wireless sensor networks in which the sensors are arranged in a square grid. We describe how Costas arrays can be used for key predistribution in these networks, then define distinct difference configurations, a more general structure that provides a flexible choice of parameters in such schemes. We give examples of distinct difference configurations with good properties for key distribution, and demonstrate that the resulting schemes provide more efficient key predistribution on square grid networks than other schemes appearing in the literature.