ppxscal/embedding_network huggingface dataset:
Topological planning and design of UMTS mobile networks: a survey
Authors: Marc St-Hilaire
Venue: Wireless Communications Mobile Computing (2009)

In this paper, we present a literature review on the topological planning problem of third generation (3G) cellular networks based on the universal mobile telecommunications system (UMTS) standard. After describing the UMTS architecture, we introduce each subproblem and present major works that have been done. The cell, the access and the core network planning problems have all been considered as well as a more global approach (when more than one subproblems are considered simultaneously). Both planning and expansion algorithms are also included in this review. The goal of this paper is to present and classify the different research works that have been done so that it can be used as a starting point for future research on topological design of UMTS networks. Copyright &copy; 2008 John Wiley & Sons, Ltd.
Semantics Enabled Problem Based Brokering of Organizational Knowledge
Authors: K. Kafentzis, M. Wallace, P. Georgolios, P. Alexopoulos, G. Mentzas
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)

Knowledge deriving from owned information and experience is an asset that has begun to be recognised by organizations of various scales as a marketable product. In previous work we have developed a system that facilitated the formal description of knowledge possessed by an organization, so that external entities could search in it and request it. In this chapter we extend on that work in a couple of ways: i) we develop a mediator system enabling the search to concurrently consider multiple possible sources of information and ii) we allow for the query to posed on a more natural way by expressing the information needs of the requestor rather than by describing the information items that may satisfy these needs. Such a system opens the way for fully automated problem based online information brokering, which is expected to be the next trend in the knowledge market.
A Logical Hole in the Chinese Room
Authors: Michael John Shaffer
Venue: Minds and Machines (2009)

Searle's Chinese Room Argument (CRA) has been the object of great interest in the philosophy of mind, artificial intelligence and cognitive science since its initial presentation in `Minds, Brains and Programs' in 1980. It is by no means an overstatement to assert that it has been a main focus of attention for philosophers and computer scientists of many stripes. It is then especially interesting to note that relatively little has been said about the detailed logic of the argument, whatever significance Searle intended CRA to have. The problem with the CRA is that it involves a very strong modal claim, the truth of which is both unproved and highly questionable. So it will be argued here that the CRA does not prove what it was intended to prove.
Managing Software Development with Trac and Subversion: Simple project management for software development.
Authors: David J. Murphy
Venue:  (2007)

Software development - especially for small teams & projects - often ends up unmanaged and suffering from the ever present problem of feature creep. This book presents a simple set of processes and practices that allow you to manage these projects without getting in the way. This book looks at what is needed to manage software development projects, how Trac and Subversion meets these needs, and how to install, configure and use them. This book looks at the software development process and what is needed to manage it, and how Trac and Subversion help fulfill these requirements. It combines theory with practical knowledge and experience that most developers will relate to. A simple methodology for managing software development projectsConfigure a project management serverInstalling, configuring and using TracInstalling and using Subversion This is aimed at developers of all calibre, but particularly those that lead teams or projects, especially if they have recently moved into the role or are simply looking for a "better way". 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
A cost-benefit evaluation method for web-based information systems
Authors: Cecile L. Paris, Nathalie F. Colineau, Ross G. Wilkinson
Venue: Proceedings of the 20th ACM conference on Hypertext and hypermedia (2009)

Most evaluations of web-based information systems are done with respect to their effectiveness in supporting users in finding and exploring the information they need. We believe (1) that we need to move beyond task effectiveness and look at the whole-of-system effectiveness, and (2) that we must balance benefits with costs. We propose a method that provides guidance in whole-of-system evaluations, explicitly considering all participants and both sides of the "bang for buck" equation.
Features of Hodgkin-Huxley Neuron Response to Periodic Spike-Train Inputs
Authors: Zeng An, Liu Yan, Chen Liujun
Venue: Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks (2009)

Researches on neuron response to external stimulation will provide useful insights into neural mechanism of learning and cognitive function of the brain. In this article, a neuron described by Hodgkin-Huxley model receives periodic spike-train inputs. The responses to inputs with various frequencies and synaptic conductivities are simulated. The results show that mode-locking response pattern is the main type of response to periodic inputs, which is consistent with general knowledge. The mode-locking patterns as the function of the frequency and synaptic conductivity are given and characteristics of mode-locking boundaries are analyzed. Furthermore, how input frequency and synaptic conductivity influence HH neuron response is in detail explained respectively.
Data warehouse and data mining tools for epidemic data analysis to get a better decision-making: the case of leishmaniasis in Morocco
Authors: Habiba Mejhed, Samia Boussaa, Nour El Houda Mejhed
Venue: Proceedings of the 10th WSEAS international conference on Mathematics and computers in biology and chemistry (2009)

In this paper, we introduced the tools of datawarehouse and datamining to improve epidemiological knowledge of leishmaniasis in Morocco. With the aim to contributes in the planning for the prevention and control against leishmaniasis in Morocco, our investigations were care out in Marrakech area for sandfly collections. We develop an information system to facilitate decision-making, access to information and data storage in a datawarehouse. In addition, we use the concepts of Datamining in order to select, explore and transform our epidemic data to prediction index.
Carto-SOM: cartogram creation using self-organizing maps
Authors: R. Henriques, F. BaCao, V. Lobo
Venue: International Journal of Geographical Information Science (2009)

The basic idea of a cartogram is to distort a geographical map by substituting the geographic area of a region by some other variable of interest. The objective is to rescale each region according to the value of the variable of interest while keeping the map, as much as possible, recognizable. There are several algorithms for building cartograms. None of these methods has proved to be universally better than any other, since the trade-offs made to get the correct distortion vary. In this paper we present a new method for building cartograms, based on self-organizing neural networks (Kohonen's self-organizing maps or SOM). The proposed method is widely available and is easy to carry out, and yet has several appealing properties, such as easy parallelization, making up a good tool for geographic data presentation and analysis. We present a series of tests on different problems, comparing the new algorithm with existing ones. We conclude that it is competitive and, in some circumstances, can perform better then existing algorithms.
A semantic end-to-end QoS model for dynamic service oriented environments
Authors: Nebil Ben Mabrouk, Nikolaos Georgantas, Valerie Issarny
Venue: Proceedings of the 2009 ICSE Workshop on Principles of Engineering Service Oriented Systems (2009)

In Service Oriented Computing (SOC), modeling the Quality of Service (QoS) is a cornerstone for providing services with quality guarantees. As the technological advances and wide adoption of handheld devices (e.g., PDA and smartphones) and wireless networks (e.g., UMTS, WiFi and Bluetooth) have made service environments more dynamic, QoS models must change accordingly. In this paper, we present a QoS model that provides the approporiate ground for QoS engineering in SOC. Our model focuses on emerging QoS features related to the dynamics of service environments such as user mobility and context awareness of application services. It also considers QoS on an end-to-end basis by covering QoS features of all the resources and actors involved in service provisioning (e.g., network, device, service, end-user). Our model represents QoS with rich semantic information and makes use of the Web Service Quality Model (WSQM) proposed by OASIS.
Introducing social groups and group exchanges in the PopOrg model
Authors: Antônio Carlos da Rocha Costa, Graçaliz Pereira Dimuro
Venue: Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2 (2009)

This paper presents a summary of the formal notions that introduce social groups and group exchanges in the Population-Organization model of multiagent systems.
Open and Closed Intermediaries in Normative Systems
Authors: Lars Lindahl, Jan Odelstad
Venue: Proceeding of the 2006 conference on Legal Knowledge and Information Systems: JURIX 2006: The Nineteenth Annual Conference (2006)

Legal terms such as “owner”, “contract”, “possession”, “citizen” are “intermediaries” in the sense that they serve as vehicles of inference between statements of legal grounds, on one hand, and legal consequences, on the other. After introducing our approach to the representation of a normative system, we present a theory of “intervenients”, seen as a tool for analysing intermediaries. The paper is especially concerned with the subject-matter of open and closed intervenients as well as the related issue of negations of intervenients. Also, we introduce the idea of so-called gic-systems, where “gic” is an abbreviation of “ground-intervenient-consequence”.
Pointcut-based architectural interface for bridging a gap between design and implementation
Authors: Naoyasu Ubayashi, Hidenori Akatoki, Jun Nomura
Venue: Proceedings of the Workshop on AOP and Meta-Data for Software Evolution (2009)

This paper proposes archface, a pointcut-based interface mechanism for bridging a gap between architectural design and its implementation. Archface, which encapsulates the essence of architectural design, is not only an architecture description language (ADL) but also a programming-level interface. Archface is based on the component-and-connector architecture, one of the most popular architectural styles. Archface is effective for software evolution because the trace-ability between design and its implementation can be realized by enforcing architectural constraints specified in archface on the program implementation. This traceability is bidirectional. In the modern software development, not only object orientation (OO) but also aspect orientation (AO) plays an important role in the architectural design because dealing with crosscutting concerns becomes crucial for designing reliable and maintainable software. In archface, AO can be easily introduced into architecture descriptions only with the component-and-connector mechanism. We do not have to distinguish AO from traditional OO-based design modeling approaches. Archface integrates not only design modeling with its implementation but also AO with OO.
The quantitative characterization of the distinctiveness and robustness of local image descriptors
Authors: Gustavo Carneiro, Allan D. Jepson
Venue: Image and Vision Computing (2009)

We introduce a new method that characterizes quantitatively local image descriptors in terms of their distinctiveness and robustness to geometric transformations and brightness deformations. The quantitative characterization of these properties is important for recognition systems based on local descriptors because it allows for the implementation of a classifier that selects descriptors based on their distinctiveness and robustness properties. This classification results in: (a) recognition time reduction due to a smaller number of descriptors present in the test image and in the database of model descriptors; (b) improvement of the recognition accuracy since only the most reliable descriptors for the recognition task are kept in the model and test images; and (c) better scalability given the smaller number of descriptors per model. Moreover, the quantitative characterization of distinctiveness and robustness of local descriptors provides a more accurate formulation of the recognition process, which has the potential to improve the recognition accuracy. We show how to train a multi-layer perceptron that quickly classifies robust and distinctive local image descriptors. A regressor is also trained to provide quantitative models for each descriptor. Experimental results show that the use of these trained models not only improves the performance of our recognition system, but it also reduces significantly the computation time for the recognition process.
Remote Sensing Based on Neural Networks Model for Hydrocarbon Potentials Evaluation in Northeast China
Authors: Shengbo Chen
Venue: Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III (2009)

Hydrocarbon resources shortage is a wide-world issue, which causes great efforts being made for hydrocarbon resources exploration all over the world. Songliao Basin is one of the most important potential regions for hydrocarbon resources in Northeast China. Owing to cost saving of hydrocarbon exploration, it is necessary to evaluate the regional potential of hydrocarbon by remote sensing before costly hydrocarbon exploration and drilling. In the study, Landsat TM data at the western slope of Songliao Basin are processed to improve hydrocarbon-related linear-circular structures and micro-seepages information. A self-organizing neural network is built for the evaluation to hydrocarbon potentials of unknown areas. Twelve features are integrated into the model from remote sensing, geophysical anomaly, and geological setting around the western slope of Songliao Basin. The model is trained by a competitive learning of twelve features of four hydrocarbon-known boreholes. The hydrocarbon potentials in three unknown circular clusters are evaluated successfully by the trained self-organizing neural networks model.
A robust eye gaze tracking method based on a virtual eyeball model
Authors: Eui Chul Lee, Kang Ryoung Park
Venue: Machine Vision and Applications (2009)

Gaze positions can provide important cues for natural computer interfaces. In this paper, we describe a new gaze estimation method based on a three dimensional analysis of the human eye which can be used in head-mounted display (HMD) environments. This paper presents four advantages over previous works. First, in order to obtain accurate gaze positions, we used a virtual eyeball model based on the 3D characteristics of the human eyeball. Second, we calculated the 3D position of the virtual eyeball and gaze vector by using a camera and three collimated IR-LEDs. Third, three reference frames (the camera, the monitor and the eye reference frames) were unified, which simplified the complex 3D converting calculations and allowed for calculation of the 3D eye position and gaze position on a HMD monitor. Fourth, a simple user-dependent calibration method was proposed by gazing at one position based on Kappa compensation. Experimental results showed that the eye gaze estimation error of the proposed method was lower than 1&#x00b0;.
The approximation operators with sigmoidal functions
Authors: Zhixiang Chen, Feilong Cao
Venue: Computers Mathematics with Applications (2009)

The aim of this paper is to investigate the error which results from the method of approximation operators with logarithmic sigmoidal function. By means of the method of extending functions, a class of feed-forward neural network operators is introduced. Using these operators as approximation tools, the upper bounds of errors, in uniform norm, approximating continuous functions, are estimated. Also, a class of quasi-interpolation operators with logarithmic sigmoidal function is constructed for approximating continuous functions defined on the total real axis.
The network of French legal codes
Authors: Pierre Mazzega, Danièle Bourcier, Romain Boulet
Venue: Proceedings of the 12th International Conference on Artificial Intelligence and Law (2009)

We propose an analysis of the codified Law of France as a structured system. Fifty two legal codes are selected on the basis of explicit legal criteria and considered as vertices with their mutual quotations forming the edges in a network which properties are analyzed relying on graph theory. We find that a group of 10 codes are simultaneously the most citing and the most cited by other codes, and are also strongly connected together so forming a "rich club" sub-graph. Three other code communities are also found that somewhat partition the legal field is distinct thematic sub-domains. The legal interpretation of this partition is opening new untraditional lines of research. We also conjecture that many legal systems are forming such new kind of networks that share some properties in common with small worlds but are far denser. We propose to call "concentrated world".
Multilanguage business document translator: an automatic translator tool
Authors: Samir Ouis
Venue: International Journal of Electronic Finance (2009)

Electronic documents are traditionally and widely used in many industries without a standard format. This lack of a proper format produces many issues that hinder one from benefiting from those documents. Electronic Data Interchange (EDI) solves this problem by proposing a standard format for each kind of industry. Unfortunately, EDI contains some drawbacks, such as the difficulty of converting old documents to that format. In this paper, a new approach is proposed for automatically converting any document to a specific EDI format without human intervention. It improves upon the EDI technology, especially in facilitating intercompany communication.
Partial matching strategy for phrase-based statistical machine translation
Authors: Zhongjun He, Qun Liu, Shouxun Lin
Venue: Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Short Papers (2008)

This paper presents a partial matching strategy for phrase-based statistical machine translation (PBSMT). Source phrases which do not appear in the training corpus can be translated by word substitution according to partially matched phrases. The advantage of this method is that it can alleviate the data sparseness problem if the amount of bilingual corpus is limited. We incorporate our approach into the state-of-the-art PBSMT system Moses and achieve statistically significant improvements on both small and large corpora.
Rarefaction wave interaction for the unsteady transonic small disturbance equations
Authors: Jun Chen, Cleopatra Christoforou, Katarina Jegdic
Venue: Proceedings of the 15th american conference on Applied mathematics (2009)

We study a Riemann problem for the unsteady transonic small disturbance equations that results in a diverging rarefaction problem. The self-similar reduction leads to a boundary value problem with equations that change type (hyperbolic-elliptic) and a sonic line that is a free boundary. We summarize the principal ideas and present the main features of the problem. The flow in the hyperbolic part can be described as a solution of a degenerate Goursat boundary problem, the interaction of the rarefaction wave with the subsonic region is illustrated and the subsonic flow is shown to satisfy a second order degenerate elliptic boundary problem with mixed boundary conditions.
Cluster analysis applied in mapping the genetic divergence of populations of araucaria angustifolia (Bert.) O. Ktze by isoenzymatic markers
Authors: Ricardo Alexandre Valgas, Anselmo Chaves Neto, Osmir Jose Lavoranti, Valderes Aparecida De Sousa
Venue: Proceedings of the 10th WSEAS international conference on Mathematics and computers in biology and chemistry (2009)

This paper presents the methodology and results for the genetic mapping in five natural populations of Araucaria angustifolia (Bert.) O. Ktze trees by isoenzymatic markers. The areas of study in Brazil were Campos do Jordão - SP, Irati - PR, Caçador - SC, Camanducaia - MG and Barbacena - MG. For each tree six locus were evaluated: GOT-B, GOT-C, PGMA-A, MDH-B, SKDH-B, 6PGDH-B and allelos observed for endosperms and embryos (homozygote and heterozygote). The multivariate statistical technique used to provide the dendograms was Cluster Analysis using Euclidean and Manhattan distances, beyond Ward's hierarchical method linkage, Single linkage and Average linkage to perform the dendograms. To validate the groupings were used MANOVA and T2 Hotteling test. It was observed that the populations of Irati and Caçador are the most homogeneous group and Camanducaia, Barbacena and Campos do Jordão are the other group.
Progress in Expert Systems Research
Authors: Ari P. Lipshitz
Venue:  (2007)

An expert system, also known as a knowledge based system, is a computer program that contains some of the subject-specific knowledge of one or more human experts. This class of program was first developed by researchers in artificial intelligence during the 1960s and 1970s and applied commercially throughout the 1980s. The most common form of expert systems is a program made up of a set of rules that analyse information (usually supplied by the user of the system) about a specific class of problems, as well as providing mathematical analysis of the problem(s), and, depending upon their design, recommend a course of user action in order to implement corrections. It is a system that utilises what appear to be reasoning capabilities to reach conclusions. This volume presents important new research from around the globe. 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