ppxscal/embedding_network huggingface dataset:
Decision support system for risk management in robust fast tracking projects
Authors: Davide Fierro, Giuseppe Giorleo, Pasquale Zoppoli
Venue: Proceedings of the 7th WSEAS international conference on System science and simulation in engineering (2008)

Modern management strategies aim for the maximum reduction of projects duration. Two schedule compression techniques are usually used, applied to activities on the critical path of course. The Crashing consists in allocating more resources on a certain activity to make it end before; in this case we obtain an increase of total project cost. The Fast Tracking (FT) reduces the project duration by anticipating the beginning of activities originally scheduled to start sequentially. This method changes the relationship of activities. With fast tracking, activities that would normally be done in sequence are allowed to be done in parallel or with some overlap. This technique involves a relevant increase of project risk that is proportional to the achieved time compression. We believe that should be convenient to anticipate the analysis of fast tracking risks to identify effective, preventive and precautionary mitigation measures. So we try to define a decision support system to identify the risk related to Fast Tracking and Robust Fast Tracking and to choose the best policy to reduce time and to mitigate risks.
Leveraging leadership lessons from software process improvement efforts for architecture leadership & management
Authors: Suzanne M. Garcia
Venue: Proceedings of the 2009 ICSE Workshop on Leadership and Management in Software Architecture (2009)

There are many behavioral themes related to leadership and management for architecture practice. This paper deals primarily with leadership in terms of responsibilities for sponsoring improved architectural practice, leveraging from at least two decades of work that has been done in the more general software process improvement community. In addition to a discussion of relevant sponsorship practices and leverage points for leaders, the paper includes an annotated bibliography of selected resources that come from the reference section of the author's book, CMMI Survival Guide: Just Enough Process Improvement. The annotations help readers to understand how the leadership literature that is not specifically aimed at them can be of benefit to their efforts.
Support Vector Machine Regression for Robust Speaker Verification in Mismatching and Forensic Conditions
Authors: Ismael Mateos-Garcia, Daniel Ramos, Ignacio Lopez-Moreno, Joaquin Gonzalez-Rodriguez
Venue: Proceedings of the Third International Conference on Advances in Biometrics (2009)

In this paper we propose the use of Support Vector Machine Regression (SVR) for robust speaker verification in two scenarios: i) strong mismatch in speech conditions and ii) forensic environment. The proposed approach seeks robustness to situations where a proper background database is reduced or not present, a situation typical in forensic cases which has been called database mismatch. For the mismatching condition scenario, we use the NIST SRE 2008 core task as a highly variable environment, but with a mostly representative background set coming from past NIST evaluations. For the forensic scenario, we use the Ahumada III database, a public corpus in Spanish coming from real authored forensic cases collected by Spanish Guardia Civil. We show experiments illustrating the robustness of a SVR scheme using a GLDS kernel under strong session variability, even when no session variability is applied, and especially in the forensic scenario, under database mismatch.
Talking Points in Metaphor: A Concise Usage-based Representation for Figurative Processing
Authors: Tony Veale, Yanfen Hao
Venue: Proceeding of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence (2008)

An effective speaker can use metaphor to communicate a wealth of propositions and affective attitudes with a single juxtaposition of ideas [12,8,6,10,7,3,15]. But as such, an effective metaphor requires effective communication, which in turn requires that the speaker has a clear idea of the content to be communicated, and an equally clear understanding of which conceptual vehicles best communicate this content. We present here a concise corpusderived meaning representation for metaphor processing that captures the most widely-used talking points that are evoked in everyday metaphors and similes. We illustrate how these talking points can be acquired by harvesting the web, and further show how comparable but discretely different talking points can be reconciled during metaphor processing. Finally, by replicating the clustering experiments of [1], we show that talking points yield an especially concise representation of concepts in general.
Slip model for the ultra-thin gas-lubricated slider bearings of an electrostatic micromotor in MEMS
Authors: Wen-Ming Zhang, Guang Meng, Jian-Bin Zhou, Jie-Yu Chen
Venue: Microsystem Technologies (2009)

A new slip model derived by molecular dynamics has been used to investigate the ultra-thin gas-lubricated slider bearings beneath the three bushings of an electrostatic micromotor in micro-electro-mechanical systems (MEMS). Modified Reynolds equation is proposed based on the modified slip model. Analytical solutions for flow rate, pressure distribution, load carrying capacity and streamwise location using the modified Reynolds equation are obtained and compared with the results gained from those in the literature. It demonstrates that the new second-order slip model is of greater accuracy than that predicted by the first-order, second-order slip models and MMGL model and produces a good approximation to variable hard sphere (VHS) and variable soft sphere (VSS) models, which agree well with the solution obtained from the linearized Boltzmann equation. It is indicated that the slip effect reduces the pressure distribution and load carrying capacity, and shifts the streamwise location of the load carrying capacity, which should not be ignored to study the step-shaped slider bearings in micromotors for MEMS devices.
Managing Multi-concern Application Complexity in AspectSBASCO
Authors: Manuel Díaz, Sergio Romero, Bartolomé Rubio, Enrique Soler, José M. Troya
Venue: Proceedings of the 9th International Conference on Computational Science: Part I (2009)

AspectSBASCO is a new programming environment that integrates modern technologies (i.e. software components, parallel skeletons and aspects) to support the development of parallel and distributed scientific applications. This multi-paradigm approach provides high-level parallelism, reusability, interoperability and a clearer separation of concerns. This paper is focussed on a case study in which the programming model of AspectSBASCO is applied for the efficient solution of a relatively complex reaction-diffusion problem. In the application, the system of non-linear PDEs is solved in parallel using skeleton abstractions for domain decomposition methods. In addition, other concerns including distributed simulation persistence, mesh adaptation procedures, dynamic processor re-mapping and state variables communication are implemented in a modular way using (un)pluggable aspects. This style of application development leads to a better system decomposition, which is the key to improving software evolution, maintenance, productivity and reliability. 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
Dimension Reduction and Data Visualization Using Neural Networks
Authors: Gintautas Dzemyda, Olga Kurasova, Viktor Medvedev
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)

The problem of visual presentation of multidimensional data is discussed. The projection methods for dimension reduction are reviewed. The chapter deals with the artificial neural networks that may be used for reducing dimension and data visualization, too. The stress is put on combining the selforganizing map (SOM) and Sammon mapping and on the neural network for Sammon's mapping SAMANN. Large scale applications are discussed: environmental data analysis, statistical analysis of curricula, comparison of schools, analysis of the economic and social conditions of countries, analysis of data on the fundus of eyes and analysis of physiological data on men's health.
Sustaining diversity using behavioral information distance
Authors: Faustino J. Gomez
Venue: Proceedings of the 11th Annual conference on Genetic and evolutionary computation (2009)

Conventional similarity metrics used to sustain diversity in evolving populations are not well suited to sequential decision tasks. Genotypes and phenotypic structure are poor predictors of how solutions will actually behave in the environment. In this paper, we propose measuring similarity directly on the behavioral trajectories of evolving candidate policies using a universal similarity measure based on algorithmic information theory: normalized compression distance (NCD). NCD is compared to four other similarity measures in both genotype and phenotype space on the POMDP Tartarus problem, and shown to produce the most fit, general, and complex solutions.
Agent Negotiation Dissolution
Authors: Nicolás Hormazábal, Josep Lluis De La Rosa i Esteve, Silvana Aciar
Venue: Proceeding of the 2008 conference on Artificial Intelligence Research and Development: Proceedings of the 11th International Conference of the Catalan Association for Artificial Intelligence (2008)

In Multi-Agent Systems, agents negotiate between them for coordination and collaboration, but their preferences and the autonomous behaviour of each participant agent can lead the negotiation through several steps before they find a common agreement. As every agent in a negotiation isn't aware about the other's preferences or about their decision making process, the negotiation workflow needs to go through an intense communication process that not always ends with the most desirable agreement between them. In this paper we propose a recommender system that suggests the best moment to end a negotiation. The recommendation is made from a trust evaluation of every agent in the negotiation based on their past negotiation experiences. For this, we introduce the Trust Aware Negotiation Dissolution algorithm.
Communities on the road: fast triggering of interactive multimedia services
Authors: Claudio E. Palazzi, Stefano Ferretti, Marco Roccetti
Venue: Multimedia Tools and Applications (2009)

Social network communities are involving millions of users, representing one of the main reasons why people log on the Internet from their home computers. Part of this success is certainly due to the possibility for end users to reverse the traditional publisher/consumer model, achieving control over service consumption, and gaining the opportunity to produce multimedia contents instantaneously available worldwide. Social network communities are not destined to be confined in traditional wired networks. Indeed, mobile users could greatly benefit from applications that combine social networks and location-based multimedia services. It is hence of particular interest to consider the next frontier in wireless networking, i.e., vehicular networks, and imagine how community-based services could be provided in this highly variable context, enabling the sprouting of communities on the road. To this aim, we address here one of the specific challenges in this scenario, i.e., the fast delivery of service triggering messages generated by a user to a certain area where another user can provide the requested multimedia service (e.g., live video streaming, traffic updates, friends finder, status messages of social network applications). We discuss the state-of-art for this technical challenge and compare it against our solution, which is able to dynamically adapt to different transmission conditions as those featuring a vehicular network. In essence, the main innovation of our contribution amounts to a transmission range estimator that enables vehicles to know their current transmission range, independently from changes in the vehicular network topology, and use it to maximize the efficiency in transmitting service-triggering messages.
Geometrical PDEs based on second-order derivatives of gauge coordinates in image processing
Authors: Arjan Kuijper
Venue: Image and Vision Computing (2009)

In this work, we analyse a series of approaches to evolve images. It is motivated by combining Gaussian blurring, the Mean Curvature Motion, used for denoising and edge-preserving, and maximal blurring, used for inpainting. We investigate the generalised method using the combination of second-order derivatives in terms of gauge coordinates. For the qualitative behaviour, we derive a solution of the series and mention its properties briefly. Relations with anisotropy and general diffusion equations are discussed. Quantitative results are obtained by a novel implementation whose stability is analysed. The practical results are visualised on a real-life image, showing the expected qualitative behaviour. When a constraint is added that penalises the distance of the results to the input image, one can vary the desired amount of blurring and denoising.
Prioritization function for packet data scheduling in OFDMA systems
Authors: I. Gutiérrez, F. Bader, J. L. Pijoan
Venue: Proceedings of the 4th Annual International Conference on Wireless Internet (2008)

In this paper, the authors developed a new prioritization function integrated within a new resource allocation process for an OFDMA system. In this paper a new prioritization function is proposed where the resource allocation problem is divided in two phases; the minimum requirements satisfaction, and; the spectral efficiency maximization of the unallocated resources. Compared with the Proportional Fair (PFS) and the Prioritization Function (PRF) algorithms whose have been designed based on the average bit rate requirements without considering neither the states of the buffers or the VBR nature of the traffic, the proposed scheme overcome these restrictions by the support of a designed Packet Data Scheduler (PDS) based on the input buffers status.
Semantic interoperability architecture for electronic government
Authors: Adegboyega Ojo, Tomasz Janowski, Elsa Estevez
Venue: Proceedings of the 10th Annual International Conference on Digital Government Research: Social Networks: Making Connections between Citizens, Data and Government (2009)

Semantic Interoperability is arguably the least developed aspect of Government Interoperability Frameworks. This could be explained by poor understanding of the semantic interoperability problem in government, considering its substance and scope, difficulties encountered in aligning technical solutions with the practice of government organizations, and the paucity of mature semantic technologies and complete semantic interoperability architectures and solutions (beyond metadata specification and semantic annotation of resources). As a result, most governments prefer to concentrate on technical and organizational aspects of their information sharing and interoperability efforts. Based on generic requirements posed by information sharing initiatives, analysis of semantic interoperability scenarios in Electronic Government, and emerging semantic interoperability practices, this paper articulates a set of semantic interoperability requirements for Electronic Government considering policy, governance, organizational and technology dimensions. Based on such requirements, it develops a pair of reference models to guide the development of semantic interoperability capabilities for individual agencies involved in collaborations, and for the government as a whole. The paper also discusses how a concrete Semantic Interoperability Architecture (SIA) could be developed from the two reference models.
Towards policy driven self-configuration of user-centric communication
Authors: Paola Boettner, Mansi Gupta, Yali Wu, Andrew A. Allen
Venue: Proceedings of the 47th Annual Southeast Regional Conference (2009)

The convergence of various multimedia communications that includes voice, video and data presents many opportunities for enabling unified communication but paradoxically leads to inefficiencies for the user as the communication may become complex. Model driven technologies such as the Communication Virtual Machine (CVM) propose to reduce such complexity through the use of models to define a user's communication needs. The CVM was extended to utilize multiple common-off-the-self (COTS) communication APIs such as Skype and Smack which we refer to as communication frameworks, to promote service and network independence. However, the user's current priorities and context play no role in the use and configuration of these frameworks. In this paper we introduce the notion of policy driven self-configuration into the CVM, where high level user policies play a major role in the self-configuration decisions. We show the results of a feature analysis of the domain which guided the policy definition process. We also provide a design of the policy driven self-configuring architecture.
Automatic human face counting in digital color images
Authors: Mona F. M. Mursi, Ghazy M. R. Assassa, Abeer Al-Humaimeedy, Khaled Alghathbar
Venue: Proceedings of the 8th WSEAS international conference on Signal processing, robotics and automation (2009)

Automatic human face detection is considered as the initial process of any fully automatic system that analyzes the information contained in human faces (e.g., identity, gender, expression, age, race and pose). In this paper, color segmentation is used as a first step in the human face detection process followed by grouping likely face regions into clusters of connected pixels. Median filtering is then performed to eliminate the small clusters and the resulting blobs are matched against a face pattern (ellipse) subjected to constraints for rejecting non-face blobs. The system was implemented and validated for images with different formats, sizes, number of people, and complexity of the image background.
On Metrics to Distinguish Skype Flows from HTTP Traffic
Authors: Emanuel Pacheco Freire, Artur Ziviani, Ronaldo Moreira Salles
Venue: Journal of Network and Systems Management (2009)

Skype is a Voice over IP (VoIP) Internet application that is gaining huge popularity in recent years. A key point to Skype popularity is its capability to dynamically adapt itself to operate behind firewalls or network proxies. A common way adopted by Skype to delude these network devices is to use port 80, normally expected to comprise HTTP traffic. In this paper, we propose metrics and investigate statistical tests intended to clearly distinguish Skype flows from HTTP traffic. We validate our study using real-world experimental datasets gathered at a commercial Internet Service Provider (ISP). Our experimental results suggest that the proposed methodology may be seen as a promising building block towards a system to detect general protocol anomalies in HTTP traffic.
Visual Evaluation of Clustered Molecules in the Process of New Drugs Design
Authors: Carlos Armando García, Roberto Therón, Rafael Peláez, José Luis López-Pérez, Gustavo Santos-Garcia
Venue: Proceedings of the 10th International Symposium on Smart Graphics (2009)

Drug design is very complex and expensive. Finding new active chemical structures is a very important goal. Both experimental and virtual (in silico) screenings can be used to explore chemical space [11][12]. With virtual screening it is possible to reduce the amount of compounds for experimental evaluations. Moreover, when the 3D structure of the target is known, candidate molecules can be put to fit in the target hole in different positions and later cluster these positions in order to find the best to fit. Therefore, we propose a visual tool that couples with Jmol[21] viewer, provides together with a means of visually exploring clustered molecules, an overview of the majority of the data, supporting thus the decision making in the process of new drugs design.
Generalized Collocation Methods: Solutions to Nonlinear Problems, 1st edition
Authors: Nicola Bellomo, Bertrand Lods, Roberto Revelli, Luca Ridolfi
Venue: Modeling And Simulation In Science, Engineering And Technology (2007)

This book examines various mathematical toolsbased on generalized collocation methodsto solve nonlinear problems related to partial differential and integro-differential equations. Covered are specific problems and models related to vehicular traffic flow, population dynamics, wave phenomena, heat convection and diffusion, transport phenomena, and pollution. Based on a unified approach combining modeling, mathematical methods, and scientific computation, each chapter begins with several examples and problems solved by computational methods; full details of the solution techniques used are given. The last section of each chapter provides problems and exercises giving readers the opportunity to practice using the mathematical tools already presented. Rounding out the work is an appendix consisting of scientific programs in which readers may find practical guidelines for the efficient application of the collocation methods used in the book. Although the authors make use of Mathematica, readers may use other packages such as MATLAB or MapleTM depending on their specific needs and software preferences. Generalized Collocation Methods is written for an interdisciplinary audience of graduate students, engineers, scientists, and applied mathematicians with an interest in modeling real-world systems by differential or operator equations. The work may be used as a supplementary textbook in graduate courses on modeling and nonlinear differential equations, or as a self-study handbook for researchers and practitioners wishing to expand their knowledge of practical solution techniques for nonlinear problems.
Modeling and evaluating of emotional processes
Authors: Khalil Shihab, Nida Chalabi
Venue: Proceedings of the 8th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases (2009)

In this paper, we explain the emotional decision-making model. Firstly, we present an emotional model. The model is designed to explore people's behavior in certain circumstances, while under specified emotional states. Special attention was given to the thought process and actions displayed in the hypothetical scenarios. Secondly, we characterized thoughts and actions associated with each scenario and emotional state. Each particular action or proof of steps taken in the thought process was given a percentage value directly proportional to answers given by the test population. Finally, we developed an experimental game program for the evaluation of our emotional decision making model.
Some regularities for parametric equilibrium problems
Authors: M. Bogdan, J. Kolumbán
Venue: Journal of Global Optimization (2009)

In this paper we aim to study a family of equilibrium problems governed by pseudomonotone maps depending on a parameter and the behavior of their solutions. The main result gives sufficient conditions for closedness of the solution map defined on the set of parameters.