ppxscal/embedding_network huggingface dataset:
Localized minimum spanning tree based multicast routing with energy-efficient guaranteed delivery in ad hoc and sensor networks
Authors: Hannes Frey, Francois Ingelrest, David Simplot-Ryl
Venue: Proceedings of the 2008 International Symposium on a World of Wireless, Mobile and Multimedia Networks (2008)

We present a localized geographic multicast scheme, MSTEAM, based on the construction of local minimum spanning trees (MSTs), that requires information only on 1-hop neighbors. A message replication occurs when the MST spanning the current node and the set of destinations has multiple edges originated at the current node. Destinations spanned by these edges are grouped together, and for each of these subsets the best neighbor is selected as the next hop. This selection is based on a cost over progress metric, where the progress is approximated by subtracting the weight of the MST over a given neighbor and the subset of destinations to the weight of the MST over the current node and the subset of destinations. Since such greedy scheme may lead the message to a void area (i.e., no neighbor providing positive progress), we propose a new multicast generalization of the well-known face recovery mechanism. We provide a theoretical analysis proving that MSTEAM is loop-free, and achieves delivery of the multicast message as long as a path to the destinations exists. Our results demonstrate that MSTEAM outperforms the best existing localized multicast scheme, and is almost as efficient as a centralized scheme in high densities.
Blocking Visibility for Points in General Position
Authors: Ji&#x0159;&#x00ed; Matou&#x0161;ek
Venue: Discrete Computational Geometry (2009)

For a finite set P in the plane, let b(P) be the smallest possible size of a set Q, Q&#x2229;P=&#x2205;, such that every segment with both endpoints in P contains at least one point of Q. We raise the problem of estimating b(n), the minimum of b(P) over all n-point sets P with no three points collinear. We review results providing bounds on b(n) and mention some additional observations.
Effects of haptic device attributes on vibration detection thresholds
Authors: Curt Salisbury, R. Brent Gillespie, Hong Tan, Federico Barbagli, J. Kenneth Salisbury
Venue: Proceedings of the World Haptics 2009 - Third Joint EuroHaptics conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems (2009)

Human vibrotactile detection experiments were used to compare temporal sinusoids displayed on three commercial haptic devices to a high-fidelity linear voice-coil actuator. The three commercial haptic devices we used span the cost spectrum, supposing that cost of a device is correlated with the fidelity of its virtual textures. This turned out not to be the case. The results indicated that none of the three haptic devices we tested were able to render perceptually distortion-free, periodically regular vibrations at detection threshold levels. Further investigation into the electrical and mechanical device properties that limited the performance of these devices revealed that D/A resolution, amplifier non-linearity and stiction were the primary sources of signal corruption.
Plenary lecture II: on distributions theory with control engineering applications
Authors: Emil Pop, Monica Leba
Venue: Proceedings of the 4th WSEAS/IASME international conference on Dynamical systems and control (2008)

This paper presents an innovative approach on classical distributions theory, insisting on very practical applications in digital control engineering. The distributions theory was years ago only an interesting mathematical instrument, rarely used in engineering applications. As it is well known, many times when we have to solve complex control problems, we encounter difficulties in writing the mathematical models for the analyzed process. The real world phenomena cannot be always represented as mathematical closed formula. This is because the practical phenomena have discontinuities, severe nonlinearities and non-derivation points. In order to solve these problems using classical mathematics these regions are represented by partitioning method, eliminating this way the discontinuities and the use of derivation operator. The main disadvantages of this approach are: the mathematical model is complicated, the working points of the system that appear as discontinuities are eliminated, difficult to represent the equations for digital and/or nonlinear systems, cannot be used the differential equations etc. The distributions theory with its remarkable properties represents a link between the continuous systems with their vast experience and the digital systems with the above constraints. First, the paper presents the definition of elementary pulse and step distributions and their properties, which are validated by modeling and simulation. Then, starting from the elementary distributions, new distributions, theorems and properties are demonstrated, modeled and simulated with digital application examples. The final of the paper presents complex control engineering applications, like: Pulse Width Modulation (PWM) and Pulse Amplitude Modulation (PAM) digital controllers for power electronics, adaptive closed loop DC servo controller and water drain process nonlinear controller. All of these controllers based on distributions theory can be easily coded in any programming language. Moreover there can be used even a Hardware Description Language (HDL) as an ASIC embedded solution.
Cupboard --- A Place to Expose Your Ontologies to Applications and the Community
Authors: Mathieu D'Aquin, Holger Lewen
Venue: Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications (2009)

In this demo, we present the Cupboard system for ontology publishing, sharing and reuse. This system is intended to support both ontology engineers and ontology users/practitioners. For the developers of ontologies, it offers a complete infrastructure to host their ontologies in online ontology spaces, providing mechanisms to describe, manage and effectively exploit these ontologies (through APIs). Furthermore, these ontologies are then exposed to the community, providing users with a complete, friendly environment to find, assess and reuse ontologies.
An Object Oriented Extensible Architecture for Multi-Level Systems Analysis
Authors: Gregory J. Follen, Russell W. Claus, Scott Townsend
Venue: Proceeding of the 2006 conference on Leading the Web in Concurrent Engineering: Next Generation Concurrent Engineering (2006)

This paper discusses the salient features of the NPSS Architecture including its interface layer, object layer, implementation for accessing legacy codes, numerical zooming infrastructure and its computing layer. The computing layer focuses on the use and deployment of propulsion simulations on parallel and distributed computing platforms. Features of the NPSS architecture include support for Multi-Disciplinary (MD) Coupling, Computer Aided Design (CAD) access and MD coupling objects.
Programming languages as tools for describing and modeling anticipatory systems
Authors: Eugene Kindler
Venue: Proceedings of the 10th WSEAS international conference on Automation & information (2009)

Algorithmizing the control of a complex system needs to know it in details, especially when the control steps are tested at a simulation model of the system. Computing technique enables performing control so that possible consequences to more or less distant future states is tested and optimized. So the system becomes anticipatory one in the traditional sense. The simulation model of it consists of two (or more) levels - the "global" or "outer" one, in which one or more "internal" or "internal" models occur; they reflect the model used by the global one for reflecting the control existing in it. That phenomenon carries obstacles rooting in nesting world viewings, nesting formal theories and nesting parts of knowledge. Nevertheless, all the obstacles were already surmounted by use of programming languages that are object-oriented, process-oriented and block-oriented. In case such a language is isolated from the hardware aspects of the applied computer it can be used as a suitable (and may be unique) tool for exact description of complex systems, namely of those that are anticipatory and intelligent. In the paper, the development of such languages, their present state and simple examples of application in industry and services is described.
A data-driven simulation of social values evolution
Authors: Samer Hassan, Luis Antunes, Juan Pavón
Venue: Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2 (2009)

Modelling the evolution of moral values in a society is a complex problem that involves many interwined aspects. The approach presented in this paper takes information from a common tool of sociologists, public surveys, as input to build the model by following a data-driven approach, to analyse and interpret the impact of each factor separately, and their mutual influence. The system handles thousands of heterogeneous agents, with their own life cycle, reproduction patterns and complex social relationship dynamics including friendship. The emergence of a robust social network was a consequence of the system set up. Its output is consistent with respect to the ideological, religious and demographic parameters observed in real world surveys.
A robust design for secure communication systems using decoupled parameter modulation and synchronization
Authors: Ashraf A. Zaher
Venue: Proceedings of the 3rd WSEAS international symposium on Wavelets theory and applications in applied mathematics, signal processing & modern science (2009)

This paper proposes a robust method for constructing chaos-based secure communication systems that rely on parameter modulation. Both the transmitter and the receiver have similar structure that is characterized by the ability of performing complete synchronization using the knowledge of a single time series from the transmitter. In addition a single parameter from the transmitter is changed in a piecewise manner that can satisfy the requirements of maintaining the chaotic behavior while having a frequency that is quite close to that of the transmitted signal. This robustifies the design via accomplishing two goals; preventing the breaking of the system security using filtration techniques, and the possibility to use a nonlinear encryption function that uses a state observer at the receiver for which the design is decoupled from the synchronization process. Simulations show that, at the receiver, the signal could be efficiently retrieved only if the secret key is known, even when both the receiver and the transmitter are in perfect synchronization. The proposed technique is demonstrated to have improved security and privacy against intruders, when compared to other techniques reported in the literature, while being simple to implement using both analog and digital hardware.
An Object-Oriented Approach to Programming Logic and Design, Second Edition, 2nd edition
Authors: Joyce Farrell
Venue:  (2007)

An Object-Oriented Approach to Programming Logic and Design, Second Edition is a language-independent introduction to programming logic using object-oriented principles. It introduces programming concepts and enforces good style and logical thinking. Joyce Farrell is well-known for her Programming Logic and Design book, which takes a procedural approach to programming. An Object-Oriented Approach to Programming Logic and Design, Second Edition offers similar topical coverage and pedagogy, but it introduces the user to the world of object-oriented programming. Designed for a first course in programming, no programming experience is required and the text does not focus on any particular language.
Development and evaluation of a new statistical model for structure-based high-throughput virtual screening
Authors: Shuxing Zhang, Lei Du-Cuny
Venue: International Journal of Bioinformatics Research and Applications (2009)

We have developed a High-Performance Computing (HPC)-based molecular docking scheme, termed HiPCDock, for drug discovery and development. To improve the statistical significance of our screening results, a bioinformatics approach, motivated by a sequence alignment package BLAST, was implemented. The statistical model was validated with ten known Thymidine Kinase (TK) binders and the real inhibitors showed significant statistics, in terms of low probabilities and expectation values. Our HiPCDock has been implemented to be used by both computational experts and experimental scientists. Thus it is an automated, easy-to-use, and efficient package for molecular docking-based high-throughput virtual screening in drug discovery.
Information Integration Approach to Vendor Selection Group Decision Making under Multiple Criteria
Authors: Wu Li, Xiaomei Zhang, Yan Chen
Venue: Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks (2009)

Vendor selection is a vital issue for compgaoanies in supply chains. In practice it is usually made by a group of decision makers according to multiple criteria. However, almost all the vendor selection models published were based on single-person decision-making and laid less emphasis on ordinal data. An information integration approach based on multi-criteria group decision-making (MCGDM) is developed for vendor selection with ordinal preferences of alternatives given by multiple decision makers in respect to each criteria considered. A 0-1 programming model considering the weights of the criteria and the decision makers under every criteria was proposed to obtain the integrated rankings of the alternatives for the group. An illustrative case shows the proposed method is effective and simple in computation. This study extends Bernardo's method for multi-criteria decision-making to MCGDM.
Specialized Affine Approximation for Nonlinear Systems Output Tracking Using Neural Networks
Authors: Tsurng-Jehng Shen, Chorng-Shyr Jou, Meng-Jey Youh, Chia-Tang Chen
Venue: Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks (2009)

A special model of artificial neural networks has been developed for the purpose of output tracking of a class of nonlinear systems and an original training structure basing on the error back-propagation algorithm is introduced. This approach which, on the ground of input-output observations, turns feasible the use of inverse control techniques appears much simpler than other existing neural control approaches for inverse control problem. Simulation results reveal that the proposed approach presents rapid training and good tracking performances.
Sensitivity analysis for distributed optimization with resource constraints
Authors: Emma Bowring, Zhengyu Yin, Rob Zinkov, Milind Tambe
Venue: Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1 (2009)

Previous work in multiagent coordination has addressed the challenge of planning in domains where agents must optimize a global goal, while satisfying local resource constraints. However, the imposition of resource constraints naturally raises the question of whether the agents could significantly improve their team performance if a few more resources were made available. Sensitivity analysis aims to answer that question. This paper focuses on sensitivity analysis in the context of the distributed coordination framework, Multiply-Constrained DCOP (MC-DCOP). There are three main challenges in performing sensitivity analysis: (i) to perform it in a distributed fashion, (ii) to avoid re-solving an NP-hard MC-DCOP optimization from scratch, and (iii) to avoid considering unproductive uses for extra resources. To meet these challenges, this paper presents three types of locally optimal algorithms: link analysis, local reoptimization and local constraint propagation. These algorithms are distributed and avoid redundant computation by ascertaining just the effects of local perturbations on the original problem. Deploying our algorithms on a large number of MC-DCOP problems revealed several results. While our cheapest algorithm successfully identified quality improvements for a few problems, our more complex techniques were necessary to identify the best uses for additional resources. Furthermore, we identified two heuristics that can help identify a priori which agents might benefit most from additional resources: density rank, which works well when nodes received identical resources and remaining resource rank, which works well when nodes received resources based on the number of neighbors they had.
Theoretical Study of Ant-based Algorithms for Multi-Agent Patrolling
Authors: Arnaud Glad, Olivier Simonin, Olivier Buffet, François Charpillet
Venue: Proceeding of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence (2008)

This paper addresses the multi-agent patrolling problem, which consists for a set of autonomous agents to visit all the places of an unknown environment as regularly as possible. The proposed approach is based on the ant paradigm. Each agent can only mark and move according to its local perception of the environment. We study EVAW, a pheromone-based variant of the EVAP [3] and VAW [12]. The main novelty of the paper is the proof of some emergent spatial properties of the proposed algorithm. In particular we show that obtained cycles are necessarily of same length, which ensures an efficient spatial distribution of the agents. We also report some experimental results and discuss open questions concerning the proposed algorithm.
Robotic Sensor Networks: An Application to Monitoring Electro-Magnetic Fields
Authors: Francesco Amigoni, Giulio Fontana, Stefano Mazzuca
Venue: Proceeding of the 2007 conference on Emerging Artificial Intelligence Applications in Computer Engineering: Real Word AI Systems with Applications in eHealth, HCI, Information Retrieval and Pervasive Technologies (2007)

Robotic sensor networks are distributed systems in which mobile robots carry sensors around an environment to detect phenomena and produce detailed environmental assessments. In this paper we present a specific robotic sensor network devoted to monitoring electro-magnetic fields.
Business Unit Reorganization and Innovation in New Product Markets
Authors: Samina Karim
Venue: Management Science (2009)

This paper empirically examines how business unit reorganization affects innovation, and explores how the learning process may mediate this relationship. Unit reorganization is the creation, deletion, or recombination of business units within a firm. Innovation is radical and involves product market entry by a firm into markets in which it was not previously active. I test competing hypotheses that predict either a U-shape or inverted U-shape relationship between reorganization and innovation to determine whether and how learning occurs in the presence of unit-level structural change. Theoretical support is drawn from literature on dynamic capabilities and organizational learning. The sample studied is 250 medical firms belonging to the pharmaceutical, healthcare-service, and medical-device industries, studied over a 20-year period. The findings are twofold. First, reorganization is found to exhibit a U-shape relationship with innovation, supporting learning arguments that stress the importance of experiencing a cohort of multiple events. Second, only reorganization experiences within a current period affect future innovation; past experiences do not impact future innovation, implying that firms may face constraints in organizational memory. The study concludes by exploring the structural origin (i.e., from internal, acquired, or recombined units) of innovative activity within firms.
A Framework to Support Non-fragile Agile Agent-Oriented Software Development
Authors: Asif Qumer, Brian Henderson-Sellers
Venue: Proceeding of the 2006 conference on New Trends in Software Methodologies, Tools and Techniques: Proceedings of the fifth SoMeT_06 (2006)

Agile software development methods support mainly object-oriented, feature-oriented and component-oriented software development and do not address agent-oriented and aspect-oriented software development. The concepts of agents and objects are in many ways dissimilar; and an object-oriented approach is not immediately suitable for the development of a multiagent system. In our current research, we extend agile software development methods originating primarily in object-oriented technology to support agent-orientation in the context of the development of multiagent systems. This research paper introduces a new agile agent-oriented framework to create or tailor situation-specific non-fragile agile agent-oriented software development processes (using a method engineering approach) to support multi-agent software development.
An Equal-Order DG Method for the Incompressible Navier-Stokes Equations
Authors: Bernardo Cockburn, Guido Kanschat, Dominik Schötzau
Venue: Journal of Scientific Computing (2009)

We introduce and analyze a discontinuous Galerkin method for the incompressible Navier-Stokes equations that is based on finite element spaces of the same polynomial order for the approximation of the velocity and the pressure. Stability of this equal-order approach is ensured by a pressure stabilization term. A simple element-by-element post-processing procedure is used to provide globally divergence-free velocity approximations. For small data, we prove the existence and uniqueness of discrete solutions and carry out an error analysis of the method. A series of numerical results are presented that validate our theoretical findings.