ppxscal/embedding_network huggingface dataset:
Automatic Analysis of Temporal Relations within a Discourse
Authors: Petr Nemec
Venue: Proceedings of the 14th International Symposium on Temporal Representation and Reasoning (2007)

In this paper we present a rule-based system of automatic analysis of temporal relations within a discourse for Czech. The core algorithm of the system is the so-called "recursive temporal property" (RTP) of Czech that predicts relative ordering relations between finite verbs in a sentence based on the information provided only by the grammar. We correct and extend the RTP by various linguistically-oriented rules. Some of these rules represent a contribution to the existing grammar theory of temporal relations in Czech. The resulting system yields F-measure of 57.77-65.29.
Agent Tcl: a flexible and secure mobile-agent system
Authors: Robert S. Gray
Venue: Proceedings of the 4th conference on USENIX Tcl/Tk Workshop, 1996 - Volume 4 (1996)

An information agent manages all or a portion of a user's information space. The electronic resources in this space are often distributed across a network and can contain tremendous quantities of data. Mobile agents provide efficient access to such resources and are a powerful tool for implementing information agents. A mobile agent is an autonomous program that can migrate from machine to machine in a heterogeneous network. By migrating to the location of a resource, the agent can access the resource efficiently even if network conditions are poor or the resource has a low-level interface. Telescript is the best-known mobile-agent system. Telescript, however, requires the programmer to learn and work with a complex object-oriented language and a complex security model. Agent Tcl, on the other hand, is a simple, flexible, and secure system that is based on the Tcl scripting language and the Safe Tcl extension. In this paper we describe the architecture of Agent Tcl and its current implementation.
A study of speech recognition for children and the elderly
Authors: J. G. Wilpon, C. N. Jacobsen
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 01 (1996)

Although children and the elderly have obvious needs for voice operated interfaces, hardly anything is known about the performance of the current automatic speech recognition technology with these people. In this paper we report the results of a thorough investigation into this field using a connected digit recognizer and a major telephone speech database. One would generally assume that the recognition of speech from these people would only be a matter of having enough, sufficiently representative training data. This turns out to be true only, as long as the speakers belong to the age range 15 to approximately 70. Outside this range the error rates increase dramatically, even with balanced amounts of training data. For males, the lower limit is very sharp and can be attributed to the change of pitch frequency during puberty. For females, the lower limit is gradual and caused by the slowly changing dimensions of the vocal tract length only. For both genders, the upper limit is very gradual and can possibly be attributed to changes in the glottis area and the internal control loops of the human articulatory system. The paper presents some supporting evidence for the above assertions and gives results for various attempts to improve the performance. Recognition of children and the elderly will require much more research if we are to fully understand the characteristics of these age group on current and future speech recognition systems.
Modeling and simulation of multi-agent systems for emergency scenarios
Authors: Harpreet Singh
Venue:  (2006)

The evacuation behavioral model of human beings requires a more comprehensive approach in emergency situations. This thesis describes the proposed human behavior system that integrates both artificial intelligence and fuzzy logic parameters. Fuzzy logic is used in refining human emotional behavior by including fuzzy features such as stress, panic, smoke and anger. Humans are unpredictable when it comes to making decisions during emergency situations. This unpredictability is due to human behavior characteristics. The incorporation of the human behavioral model through the use of fuzzy parameters brings a sense of reality. This dissertation describes a new approach to model human behavior characteristics and represents them in a goal finding multi-agent environment. This thesis proposes an algorithm for evacuation scenarios based on geometric approach that realistically models the behavior of people using the choice of exit (favorite goal) and sub goals (intermediate goals). The simulation has agents following a safe trajectory and making appropriate decisions to avoid 198 collisions with static elements of the physical environment as well as with other mobile agents. The proposed research tool AvatarSim is developed in Java framework and can be displayed on a web browser. The model is extended to simulate battle field scenarios and airplane evacuation scenarios. The tool can be programmed with models that can be informed by an analysis of evacuation procedures and also by observations of human behavior during a real-time evacuations scenario. This thesis also proposes a fuzzy and neuro-fuzzy application for predicting the probability of an agent to reach its destination when fuzzy behavior characteristics like stress and panic are involved. The fuzzy system allows easy encoding of expert knowledge as a set of rules. The validation of the model was done through evacuation experimental studies performed at Wayne State University for comparison of proposed AvatarSim model predictions with reliable information from a real time evacuation drill. The results from the study prove that the evacuation time and flow rate of people were comparatively similar for AvatarSim when compared to real-time evacuation drill.
Lossless coding for progressive archival of multispectral images
Authors: A. Benazza-Benyahia
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 03 (2001)

A nonlinear subband decomposition scheme with perfect reconstruction is proposed for lossless coding of multispectral images. The merit of this new scheme is to exploit efficiently both the spatial and the spectral redundancies contained in a multispectral image sequence. Besides, it is suitable for progressive coding, which constitutes a desirable feature for telebrowsing applications. Simulation tests performed on real scenes allow assessment of the performances of this new multiresolution coding algorithm. The achieved compression ratios are higher than those obtained with currently used lossless coders.
Model fitting and inference under latent equilibrium processes
Authors: Sourabh Bhattacharya, Alan E. Gelfand, Kent E. Holsinger
Venue: Statistics and Computing (2007)

This paper presents a methodology for model fitting and inference in the context of Bayesian models of the type f(Y | X,¿)f(X|¿)f(¿), where Y is the (set of) observed data, ¿ is a set of model parameters and X is an unobserved (latent) stationary stochastic process induced by the first order transition model f(X (t+1)|X (t),¿), where X (t) denotes the state of the process at time (or generation) t. The crucial feature of the above type of model is that, given ¿, the transition model f(X (t+1)|X (t),¿) is known but the distribution of the stochastic process in equilibrium, that is f(X|¿), is, except in very special cases, intractable, hence unknown. A further point to note is that the data Y has been assumed to be observed when the underlying process is in equilibrium. In other words, the data is not collected dynamically over time.We refer to such specification as a latent equilibrium process (LEP) model. It is motivated by problems in population genetics (though other applications are discussed), where it is of interest to learn about parameters such as mutation and migration rates and population sizes, given a sample of allele frequencies at one or more loci. In such problems it is natural to assume that the distribution of the observed allele frequencies depends on the true (unobserved) population allele frequencies, whereas the distribution of the true allele frequencies is only indirectly specified through a transition model.As a hierarchical specification, it is natural to fit the LEP within a Bayesian framework. Fitting such models is usually done via Markov chain Monte Carlo (MCMC). However, we demonstrate that, in the case of LEP models, implementation of MCMC is far from straightforward. The main contribution of this paper is to provide a methodology to implement MCMC for LEP models. We demonstrate our approach in population genetics problems with both simulated and real data sets. The resultant model fitting is computationally intensive and thus, we also discuss parallel implementation of the procedure in special cases.
Connections: the marketing plan for the University of Arkansas College of Engineering
Authors: R. E. Wardlow
Venue: Proceedings of the Frontiers in Education Conference, 2001. on 31st Annual - Volume 01 (2001)

This is the second in a series of six companion papers that address the marketing of the College of Engineering at the University of Arkansas, Fayetteville, USA. While valuable as an independent resource, the content of this document should be considered within the context of all six papers. The creation of a permanent Marketing Team was the first step in the development of a marketing plan for the College of Engineering. The membership selection for this committee was critical in establishing the direction the college should take in positioning it as a "top 25" public institution in engineering. The Marketing Team established vision and mission statements, and began to develop a strategic plan that would connect the college outreach programs both internally and externally. This paper outlines the steps taken to pull together the programs the college currently had and develop new programs under a uniform direction. The ACM Portal is published by the Association for Computing Machinery. Copyright © 2010 ACM, Inc. Terms of Usage Privacy Policy Code of Ethics Contact Us Useful downloads: Adobe Acrobat QuickTime Windows Media Player Real Player
Probabilistic Matching Algorithm for Keypoint Based Object Tracking Using a Delaunay Triangulation
Authors: Trichet Remi, Merialdo Bernard
Venue: Proceedings of the Eight International Workshop on Image Analysis for Multimedia Interactive Services (2007)

This article presents a matching algorithm developed for a generic object tracking system. Matching is a critical part for the effectiveness of tracking. The proposed method is a probabilistic algorithm inspired from the emerging "discriminative random fields. Points are associated according to their visual similarity and to spatial relations in their neighborhood, based on a Delaunay triangulation. Experimental results are presented to validate this contribution.
Juggling Work Among Multiple Projects and Partner
Authors: Peter Scupelli, Susan R. Fussell, Sara Kiesler, Pablo Quinones, Gail Kusbit
Venue: Proceedings of the 40th Annual Hawaii International Conference on System Sciences (2007)

Prior research suggests people have trouble juggling effort across multiple projects with multiple partners. We investigated this problem, with an experiment where groups of four participants enacted the roles of police detectives. Each detective was assigned two homicide cases, each case with a different partner. To solve each case, detectives read their case documents and discussed relevant information with their partners. Half the groups used IM to communicate and the other half used an enhanced IM tool called Project-View IM (PVIM). PVIM lists partners and joint projects and lets users know what a partner is working on. We analyzed keystroke level computer activity and the content of conversations. Generally, work unfolded as follows: coordinate across cases, start first case, read documents, coordinate within case with partner, switch to second case, and so on, but with frequent interruptions. We describe implications of our findings for theories of multitasking.
Resource Allocation and Outage Control for Solar-Powered WLAN Mesh Networks
Authors: Amin Farbod Terence D. Todd
Venue: IEEE Transactions on Mobile Computing (2007)

In this paper, resource allocation and outage control are considered for solar-powered WLAN mesh networks. Solar-powered nodes are a very cost effective option in WLAN mesh deployments where continuous power sources are not practical. In such nodes, the cost of the solar panel and battery can be a significant fraction of the total and, therefore, reducing AP power consumption is very important. A solar panel/battery configuration methodology is introduced based on a proposed AP power-aware version of IEEE 802.11. Public meteorological data is used to provision each node based on an averaged offered capacity profile. Since a node is configured statistically, it is possible that future loading may result in nonzero outage even when negligible outage is the design target. Control algorithms are introduced which can improve node outage performance by sometimes introducing an access point capacity deficit. Results are presented which show the value of the proposed configuration methodology and show that the control algorithms can prevent outage even at high levels of excess loading.
Simplification of Additivity Conjecture in Quantum Information Theory
Authors: Motohisa Fukuda
Venue: Quantum Information Processing (2007)

We simplify some conjectures in quantum information theory; the additivity of minimal output entropy, the multiplicativity of maximal output p-norm and the superadditivity of convex closure of output entropy. In this paper, by using some unital extension of quantum channels, we show that proving one of these conjectures for all unital quantum channels would imply that it is also true for all quantum channels.
Calculations of Light-Absorption Driven Molecular Rotors
Authors: Jaroslav Vacek, Jana Chocholousova, Lukas Kobr, John Miller
Venue: Proceedings of the HPCMP Users Group Conference (2006)

We investigated the behavior of large molecular systems containing dipolar molecular rotors and motors. The computations, performed on the HPC computers, use the Universal Force Field and Newton equations of motion implemented in our customized molecular dynamics program TINK, and commercial ab initio quantum chemical programs. The purpose of these calculations is to design new materials with controllable surface friction, materials with nonlinear response to electric fields, and other interesting properties for future devices. At last year's conference we presented the principle of a fast unidirectional molecular rotor driven by absorption of light pulses. Now we outline results demonstrating the performance of an improved design of a synthetically accessible active motor molecule carrying a paddlewheel on a rotation axis. The structure has been optimized in a series of molecular dynamics simulations. It is designed in such a way that the absorption of a photon will cause the separation of charges, and their mutual attraction will then cause the rotor to make half a turn in the course of a few picoseconds. After about a dozen picoseconds after charge recombination the rotor completes a full turn. The structure has been designed in a way that favors unidirectional motion. The rates of charge separation and recombination can be controlled by a choice of donor and acceptor structures. With suitable choices, continuous irradiation or a train of light pulses would thus be expected to induce a fast unidirectional rotation of the rotor, which could be used to propel a thin layer of a fluid along a surface ("molecular pump") if the rotors were mounted in an organized array on a surface.
Visual Exploration and Discovery of Atypical Behavior in Financial Time Series Data using Two-Dimensional Colormaps
Authors: Hartmut Ziegler, Tilo Nietzschmann, Daniel A. Keim
Venue: Proceedings of the 11th International Conference Information Visualization (2007)

This work describes two pixel-based paradigms for visual financial time series data analysis that allow analyzing assets in overview and in detail, and offer improved insights into the characteristics of assets compared to traditional visualization methods. We contribute a two-dimensional color coding scheme for inter-/intra-asset analysis that extends the two paradigms and supports the discovery of significant characteristics of assets, such as atypical "against-the-market-behavior in form of exceptional stability in case of whole market losses, or the discovery of assets in a portfolio that - while still being profitable - notably underperform the market median. We apply our techniques on real world data sets, and focus on assets of the banks of Switzerland.
Full Duplex Switched Ethernet for Next Generation "1553B"-Based Applications
Authors: Ahlem Mifdaoui, Fabrice Frances, Christian Fraboul
Venue: Proceedings of the 13th IEEE Real Time and Embedded Technology and Applications Symposium (2007)

Over the last thirty years, the MIL-STD 1553B data bus has been used in many embedded systems, like aircrafts, ships, missiles and satellites. However, the increasing number and complexity of interconnected subsystems lead to emerging needs for more communication bandwidth. Therefore, a new interconnection system is needed to overcome the limitations of the MIL-STD 1553B data bus. Among several high speed networks, Full Duplex Switched Ethernet is put forward here as an attractive candidate to replace theMIL-STD 1553B data bus. However, the key argument against Switched Ethernet lies in its non-deterministic behavior that makes it inadequate to deliver hard time-constrained communications. Hence, our primary objective in this paper is to achieve an accepted QoS level offered by Switched Ethernet, to support diverse "1553B"-based applications requirements. We evaluate the performance of traffic shaping techniques on Full Duplex Switched Ethernet with an adequate choice of service strategy in the switch, to guarantee the real-time constraints required by these specific 1553B-based applications. An analytic study is conducted, using the Network Calculus formalism, to evaluate the deterministic guarantees offered by our approach. Theoretical analysis are then investigated in the case of a realistic "1553B"-based application extracted from a real military aircraft network . The results herein show the ability of profiled Full Duplex Switched Ethernet to satisfy 1553B-like real-time constraints.
Coloured Petri Nets and CPN Tools for modelling and validation of concurrent systems
Authors: Kurt Jensen, Lars Michael Kristensen, Lisa Wells
Venue: International Journal on Software Tools for Technology Transfer (STTT) (2007)

Coloured Petri Nets (CPNs) is a language for the modelling and validation of systems in which concurrency, communication, and synchronisation play a major role. Coloured Petri Nets is a discrete-event modelling language combining Petri nets with the functional programming language Standard ML. Petri nets provide the foundation of the graphical notation and the basic primitives for modelling concurrency, communication, and synchronisation. Standard ML provides the primitives for the definition of data types, describing data manipulation, and for creating compact and parameterisable models. A CPN model of a system is an executable model representing the states of the system and the events (transitions) that can cause the system to change state. The CPN language makes it possible to organise a model as a set of modules, and it includes a time concept for representing the time taken to execute events in the modelled system. CPN Tools is an industrial-strength computer tool for constructing and analysing CPN models. Using CPN Tools, it is possible to investigate the behaviour of the modelled system using simulation, to verify properties by means of state space methods and model checking, and to conduct simulation-based performance analysis. User interaction with CPN Tools is based on direct manipulation of the graphical representation of the CPN model using interaction techniques, such as tool palettes and marking menus. A license for CPN Tools can be obtained free of charge, also for commercial use.
Learning based organizational approaches for peer-to-peer based information retrieval systems
Authors: Victor Lesser
Venue:  (2006)

Over the past few years, computer scientists have been very interested in peer-to-peer based information retrieval systems. But while such applications are promising, the underlying technology is challenging because it is difficult to direct users' queries to ideal destinations effectively and efficiently in the absence of complete up-to-date information about other nodes' states in the network. In addition, the presence of concurrent search sessions adds another level of complication: bandwidth and capacity limitations may prevent nodes from promptly forwarding and performing local searches for all queries received. This thesis frames a peer-to-peer information retrieval(P2P IR) problem as a multi-agent framework and attacks it from an organizational perspective by exploring various adaptive, self-organizing topological organizations, designing appropriate coordination strategies, and exploiting learning techniques to create more accurate routing policy for large-scale agent organizations. Specifically, two protocols have been designed to create semantic-based implicitly-clustered agent organizations and explicit multi-level hierarchical agent organizations respectively. Several coordination strategies are also proposed to direct distributed search sessions by taking advantage of agents' degree, similarity information. Furthermore, in order to handle multiple concurrent search sessions in the system, an agent control mechanism is proposed to engineer the query flow in the entire network based only on agents' local observations of network traffic and agent loading so as to improve the mean effective propagation speed of search queries. The elements of such a control mechanism include resource selection, local search scheduling and feedback-based load control. In particular, with the feedback-based load control unit, an agent not only considers the capacity of its own communication channels, but also takes into account its neighboring agents' service rate, which is acquired dynamically from its neighboring agents. Based on this novel agent control mechanism, a balanced distributed search algorithm is designed to reduce the potential hot spots in the network. In addition, a reinforcement-learning based approach is developed in this thesis to take advantage of the run-time characteristics of P2P IR systems, including environmental parameters, bandwidth usage, and historical information about past search sessions. In the learning process, agents refine their content routing policies by constructing relatively accurate routing tables based on a Q-learning algorithm. Experimental results show that this learning algorithm considerably improves the performance of distributed search sessions in P2P IR systems.