ppxscal/embedding_network huggingface dataset:
Automatic discovery of data resources in the e-government grid
Authors: Xianhu Meng, Yan Wang, Wenyu Zhang, Jinqi Meng
Venue: WSEAS Transactions on Computers (2009)

Nowadays, there is a growing number of e-government portals and solutions that provide integrated governmental data resources to the customers (citizens, enterprises or other public sectors). However, the administration of distributed data resources are faced with increasing challenges caused by the discovery difficulties across the internet. To overcome this, this paper puts forward the concept of a model for automatic data resource discovery in the data grid environment for e-government applications. The paper elaborates the rule of global naming, brings forward metadata's registration and storage on the naming rule, and explores how to use it to find out the long-distance data resources rapidly. The paper also sets forth the method for restraining, sending and accessing data resources repeatedly by searching "comparison table" and using the time marker under the multiple data grid nodes, and points out that "comparison table" should adopt the strategy of prefering frequently used data and clearing rarely used data.
Montage: a grid portal and software toolkit for science-grade astronomical image mosaicking
Authors: Joseph C. Jacob, Daniel S. Katz, G. Bruce Berriman, John C. Good, Anastasia C. Laity, Ewa Deelman, Carl Kesselman, Gurmeet Singh, Mei-Hui Su, Thomas A. Prince, Roy Williams
Venue: International Journal of Computational Science and Engineering (2009)

Montage is a portable software toolkit to construct custom, science-grade mosaics that preserve the astrometry and photometry of astronomical sources. The user specifies the dataset, wavelength, sky location, mosaic size, coordinate system, projection, and spatial sampling. Montage supports massive astronomical datasets that may be stored in distributed archives. Montage can be run on both single- and multi-processor computers, including clusters and grids. Standard grid tools are used to access remote data or run Montage on remote computers. This paper describes the architecture, algorithms, performance, and usage of Montage as both a software toolkit and a grid portal.
Creating an international research team: lessons from the North American digital government working group
Authors: David Andersen, J. Ramon Gil-Garcia, Rejean Roy, Theresa A. Pardo, Lei Zheng
Venue: Proceedings of the 10th Annual International Conference on Digital Government Research: Social Networks: Making Connections between Citizens, Data and Government (2009)

This panel focuses on the lessons learned by the members of the Working Group on Comparative and Transnational Digital Government in North America. This group was formed in 2007 to advance electronic government research across geographic and political boundaries in the region, with the support of the National Science Foundation Digital Government Research Program and the home institutions of the members in Canada, Mexico, and the United States. Panelists will share insights from the formation and operational experiences of the group in particular is it relates to creating a multinational research collaborative, developing culturally sensitive research design strategies, and developing research grant proposals in a multi-national context with a multi-national research team.
Engineering autonomic systems
Authors: Joseph L. Hellerstein
Venue: Proceedings of the 6th international conference on Autonomic computing (2009)

The wide-spread interest in self-management reflects the disturbing fact that scaling information systems is often impaired by the burdens of management and operations. These concerns have motivated the development of technologies for self-healing, self-configuration, self-optimization, and self-protection. Regrettably, it is rare for these technologies to be deployed in production because of their hidden costs. For example, model-based approaches for configuration and optimization are powerful in laboratory demonstrations, but these approaches typically have high costs for model construction and maintenance. This talk discusses the need for a methodology for engineering autonomic systems that systematically addresses requirements, design, implementation, and assessment. The approach discussed in this talk is based on control theory, an approach that is widely used in other engineering disciplines to blend formal mathematics with practical insights to build robust systems.
Advances in Ambient Intelligence: Volume 164 Frontiers in Artificial Intelligence and Applications
Authors: Juan Carlos Augusto, Juan Carlos Augusto, Daniel Shapiro
Venue:  (2007)

Ambient Intelligence lies at the confluence of several trends: the continued decrease in cost and size of computing technology; the increasing availability of networking and communication infrastructure; the growing public familiarity/comfort with computing artifacts; and practical advances in artificial intelligence. These developments make it possible to contemplate the ubiquitous deployment of intelligent systems prototypically in smart homes, but more broadly in public spaces, private automobiles and on individual appliances and hand-held devices - in applications ranging from entertainment through eldercare, to safety critical device control. Ambient Intelligence is a young field. As a result, it has been natural to wonder what the technology can do to improve the way we live. At the same time, it is becoming increasingly important to ask: What do we want? since the intent is to embed technology in new and pervasive ways. The contributions in this volume provide a window into the visions and trends currently dominating the area of Ambient Intelligence. This publication is divided into three sections. The first describes visions for the future of Ambient Intelligence, the second addresses core technology of the field and the third provides an analysis of elements of the area which will demand special consideration during the future development of the area.IOS Press is an international science, technical and medical publisher of high-quality books for academics, scientists, and professionals in all fields. Some of the areas we publish in: -Biomedicine -Oncology -Artificial intelligence -Databases and information systems -Maritime engineering -Nanotechnology -Geoengineering -All aspects of physics -E-governance -E-commerce -The knowledge economy -Urban studies -Arms control -Understanding and responding to terrorism -Medical informatics -Computer Sciences
Virtual machine contracts for datacenter and cloud computing environments
Authors: Jeanna Matthews, Tal Garfinkel, Christofer Hoff, Jeff Wheeler
Venue: Proceedings of the 1st workshop on Automated control for datacenters and clouds (2009)

Virtualization is an important enabling technology for many large private datacenters and cloud computing environments. Virtual machines often have complex expectations of their runtime environment such as access to a particular network segment or storage system. Similarly, the runtime environment may have complex expectations of a virtual machine's behavior such as compliance with network access control criteria or limits on the type and quantity of network traffic generated by the virtual machine. Today, these diverse requirements are too often specified, communicated and managed with non-portable, site specific, loosely coupled, and out-of-band processes. We propose Virtual Machine Contracts (VMCs), a platform independent way of automating the communication and management of such requirements. We describe how VMCs can be expressed through additions to the Open Virtual Machine Format (OVF) standard and how they can be managed in a uniform way even across environments with heterogeneous elements for enforcement. We explore use cases for this approach and argue that it is an essential step towards automated control and management of virtual machines in large datacenters and cloud computing environments.
Localizing and Extracting Caption in News Video Using Multi-Frame Average
Authors: Jinlin Guo, Songyang Lao, Haitao Liu, Jiang Bu
Venue: Proceeding of the 2008 conference on New Trends in Multimedia and Network Information Systems (2008)

News video is a very important video source. Caption in a news video can help us to understand the semantics of video content directly. A caption localization and extraction approach for news video will be proposed. This approach applies a new Multi-Frame Average (MFA) method to reduce the complexity of the background of the image. A time-based average pixel value search is employed and a Canny edge detection is performed to get the edge map. Then, a horizontal scan and a vertical scan on this edge map are used to obtain the top, bottom, left and right boundaries of the rectangles of candidate captions. Then, some rules are applied to confirm the caption. Experimental results show that the proposed approach can reduce the background complexity in most cases, and achieves a high precision and recall. Finally, we analyze the relationship between background variation of frame sequence and detection performance in detail.
Computer Security: Protecting Digital Resources, 1st edition
Authors: Robert Newman
Venue:  (2009)

Today, society is faced with numerous internet schemes, fraudulent scams, and identity theft that threaten our safety and our peace of mind. Computer Security: Protecting Digital Resources provides a broad approach to computer-related crime, electronic commerce, corporate networking, and internet security, topics that have become increasingly important as more and more threats are made on our internet environment. This book is oriented toward the average computer user, business professional, government worker, and the education community, with the expectation that the user can learn to use the network with some degree of safety and security. The author places emphasis on the numerous vulnerabilities and threats that are inherent in the Internet environment. Efforts are made to present techniques and suggestions to avoid identity theft and fraud. Readers will gain a clear insight into the many security issues facing the e-commerce networking, web, and internet environments and what you can do to keep your personal and business information secure.
Using argumentation to retrieve articles with similar citations from MEDLINE
Authors: Imad Tbahriti, Christine Chichester, Frédérique Lisacek, Patrick Ruch
Venue: Proceedings of the International Joint Workshop on Natural Language Processing in Biomedicine and its Applications (2004)

The aim of this study is to investigate the relationships between citations and the scientific argumentation found in the abstract. We extracted citation lists from a set of 3200 full-text papers originating from a narrow domain. In parallel, we recovered the corresponding MEDLINE records for analysis of the argumentative moves. Our argumentative model is founded on four classes: PURPOSE, METHODS, RESULTS, and CONCLUSION. A Bayesian classifier trained on explicitly structured MEDLINE abstracts generates these argumentative categories. The categories are used to generate four different argumentative indexes. A fifth index contains the complete abstract, together with the title and the list of Medical Subject Headings (MeSH) terms. To appraise the relationship of the moves to the citations, the citation lists were used as the criteria for determining relatedness of articles, establishing a benchmark. Our results show that the average precision of queries with the PURPOSE and CONCLUSION features is the highest, while the precision of the RESULTS and METHODS features was relatively low. A linear weighting combination of the moves is proposed, which significantly improves retrieval of related articles.
Cognitive Map Dimensions of the Human Value System Extracted from Natural Language
Authors: Alexei V. Samsonovich, Giorgio A. Ascoli
Venue: Proceeding of the 2007 conference on Advances in Artificial General Intelligence: Concepts, Architectures and Algorithms: Proceedings of the AGI Workshop 2006 (2007)

The notion of a human value system can be quantified as a cognitive map, the dimensions of which capture the semantics of concepts and the associated values. This can be done, if one knows (i) how to define the dimensions of the map, and (ii) how to allocate concepts in those dimensions. Regarding the first question, experimental studies with linguistic material using psychometrics have revealed that valence, arousal and dominance are primary dimensions characterizing human values. The same or similar dimensions are used in popular models of emotions and affects. In these studies, the choice of principal dimensions, as well as scoring concepts, was based on subjective reports or psycho-physiological measurements. Can a cognitive map of human values be constructed without testing human subjects? Here we show that the answer is positive, using generally available dictionaries of synonyms and antonyms. By applying a simple statistical-mechanic model to English and French dictionaries, we constructed multidimensional cognitive maps that capture the semantics of words. We calculated the principal dimensions of the resultant maps and found their semantics consistent across two languages as well as with previously known main cognitive dimensions. These results suggest that the linguistically derived cognitive map of the human value system is language-invariant and, being closely related to psychometrically derived maps, is likely to reflect fundamental aspects of the human mind.
Hyper-Chaotic Mathematical Programming Method and Its Application to Dodecahedron Variable Geometry Truss Manipulator
Authors: Youxin Luo, Bin Zeng, Zheming He
Venue: Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks (2009)

As a new robot mechanism variable geometry truss manipulator can be applied widely for its good performance. Forward displacement of variable geometry truss manipulator is always transformed into finding the solutions of nonlinear equations. Newton iterative method is an important technique to one dimensional and multidimensional variable and often used to solve nonlinear equations. Iterative process is sensitive to the initial point. The mathematical programming method is adopted when the iteration diverges with the Newton and quasi-Newton methods. A new method of finding all solutions of nonlinear questions is proposed, in which we combine mathematical programming method with hyper-chaotic neuron network system and utilize hyper-chaotic network system to obtain locate initial points. The numerical example in dodecahedron variable geometry truss manipulator synthesis shows that all solutions have been quickly obtained, and it also shows that the method is correct and effective. This provides a simple and new method for mechanism design.
Mapping forest patches and scattered trees from SPOT images and testing their ecological importance for woodland birds in a fragmented agricultural landscape
Authors: N. Levin, C. McAlpine, S. Phinn, B. Price, D. Pullar, R. P. Kavanagh, B. S. Law
Venue: International Journal of Remote Sensing (2009)

Scattered trees represent an important element within the agricultural matrix for birds. The aims of this study were to develop methods for mapping isolated trees from satellite imagery and to assess the importance of isolated trees for bird species richness. Field sampling of birds and plants was conducted at 120 sites in south-east Australia. We mapped tree cover from Landsat and SPOT images using a combination of spectral and segmentation based methods. Mapping of isolated trees as point objects was highly accurate (80-90%). Tree cover at spatial extents of 3-28 ha around sites explained 60% of the variability in woodland-dependent bird species richness. However, isolated trees in agricultural areas made just a small contribution to explaining the spatial variability in overall avian richness. This approach can be used for more extensive assessment of avian habitat quality from high spatial resolution images across a range of human modified landscapes.
Publish/subscribe in wireless sensor networks based on data centric storage
Authors: Michele Albano, Stefano Chessa
Venue: Proceedings of the 1st International Workshop on Context-Aware Middleware and Services: affiliated with the 4th International Conference on Communication System Software and Middleware (COMSWARE 2009) (2009)

The rapid development of Wireless Sensor Networks (WSN) technologies gave rise to the need for abstraction mechanisms that can simplify the data management tasks. Under this respect, the publish/subscribe paradigms play an important role since they can be used to abstract the WSN in terms that are closer to applicative needs. On the other hand, Data Centric Storage systems (DCS) can provide a low-level support to the implementation of publish/subscribe systems in WSN. In this paper we consider different implementations of publish/subscribe systems, based either on DCS or basic network primitives and we compare the resulting approaches in terms of functionalities and performance.
The Assistment Builder: A Rapid Development Tool for ITS
Authors: Terrence E. Turner, Michael A. Macasek, Goss Nuzzo-Jones, Neil T. Heffernan, Ken Koedinger
Venue: Proceeding of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology (2005)

Intelligent Tutoring Systems are notoriously costly to construct [1], and require PhD level experience in cognitive science and rule based programming. The goal of this research was to ease the development process for building pseudo-tutors [5], which are ITS constructs that mimic cognitive tutors but are limited in that they only work for a single problem. The Assistment Builder is a system designed to rapidly develop, test, and deploy simple pseudo-tutors. These tutors provide a simple cognitive model based upon a state graph tailored to a specific problem. These tutors offer many of the features of rule-based tutors, but without the expensive creation time. The system simplifies the process of tutor construction to allow users with little or no ITS experience to develop content. The system provides a web-based interface as a means to build and store these simple tutors we have called Assistments. This paper describes our attempt to make the process of developing content easy for teachers. We present some evidence to suggest that these novice users can develop a tutor for a problem in under thirty minutes.
Plenary lecture VI: making asynchronous systems theory by making use of dynamical systems theory
Authors: Serban E. Vlad
Venue: Proceedings of the 10th WSEAS international conference on Mathematical and computational methods in science and engineering (2008)

An n-signal is a function x:R→{0,1}n that fulfills certain inertia requirements and an autonomous asynchronous system is a non-empty subset of the set of the n-signals. The autonomous asynchronous systems are the (real time, binary spaces, no input and non- deterministic) models of the autonomous asynchronous circuits from the digital electrical engineering. The naturalness of the import in the autonomous asynchronous systems theory of some elementary notions from the dynamical systems theory: flows, orbits, nullclins, fixed points, ω-limit points, recurrent points, periodicity, invariant sets, dependence on the initial states, transitivity, attraction, attractors, chaos, equivalence, static and dynamic bifurcation, symmetry- is given by the existence of a generator function Φ:{0,1}n → {0,1}n (called network function by Moisil) and of a vector field f: Rn → Rn that play the same role in the two theories. The fundamental ideas of these theories coincide to some extent and the tools of analysis are different, in the sense that the asynchronous systems do not have linearizations, Jacobians, multipliers, Poincare maps etc. The purpose of the lecture is that of browsing in the context of the autonomous asynchronous systems some usual concepts of the dynamical systems theory.
Peer-Assessment in Web-based ePortfolios System: An Experimental Study
Authors: Youmei Wang
Venue: Proceeding of the 2006 conference on Learning by Effective Utilization of Technologies: Facilitating Intercultural Understanding (2006)

Eportfolio is used as an important tool to facilitate learning reflection and assessment in IT-infused instruction and online instruction. This study adopts both qualitative and quantitative approaches to explore the quality and effectiveness' of onymous or anonymous peer-assessment, self-assessment and reflection in WePS1.0 (Web-based ePortfolios System). Findings shows that anonymous assessment and the assessment on onymous peers have positive significance and better quality on learning, and anonymous assessment was more critical but inferior quality. Peer-onymous assessment would promote learning and reflection in online instruction.
Fast virus detection by using high speed time delay neural networks
Authors: Hazem M. El-Bakry, Nikos Mastorakis
Venue: Proceedings of the 10th WSEAS international conference on Neural networks (2009)

This paper presents an intelligent approach to detect unknown malicious codes by using new high speed time delay neural networks. The entire data are collected together in a long vector and then tested as a one input pattern. The proposed fast time delay neural networks (FTDNNs) use cross correlation in the frequency domain between the tested data and the input weights of neural networks. It is proved mathematically and practically that the number of computation steps required for the presented time delay neural networks is less than that needed by conventional time delay neural networks (CTDNNs). Simulation results using MATLAB confirm the theoretical computations.
A reactive role assignment for data routing in event-based wireless sensor networks
Authors: Eduardo F. Nakamura, Heitor S. Ramos, Leandro A. Villas, Horacio A. B. F. de Oliveira, Andre L. L. de Aquino, Antonio A. F. Loureiro
Venue: Computer Networks: The International Journal of Computer and Telecommunications Networking (2009)

In this work, we show how we can design a routing protocol for wireless sensor networks (WSNs) to support an information-fusion application. Regarding the application, we consider that WSNs apply information fusion techniques to detect events in the sensor field. Particularly, in event-driven scenarios there might be long intervals of inactivity. However, at a given instant, multiple sensor nodes might detect one or more events, resulting in high traffic. To save energy, the network should be able to remain in a latent state until an event occurs, then the network should organize itself to properly detect and notify the event. Based on the premise that we have an information-fusion application for event detection, we propose a role assignment algorithm, called Information-Fusion-based Role Assignment (InFRA), to organize the network by assigning roles to nodes only when events are detected. The InFRA algorithm is a distributed heuristic to the minimal Steiner tree, and it is suitable for networks with severe resource constraints, such as WSNs. Theoretical analysis shows that, in some cases, our algorithm has a O(1)-approximation ratio. Simulation results show that the InFRA algorithm can use only 70% of the communication resources spent by a reactive version of the Centered-at-Nearest-Source algorithm.