ppxscal/embedding_network huggingface dataset:
Home Networking: First IFIP WG 6.2 Home Networking Conference (IHN'2007), Paris, France, December 10-12, 2007, 1st edition
Authors: Khaldoun Al Agha, Khaldoun Al Agha, Xavier Carcelle, Guy Pujolle
Venue: Ifip International Federation For Information Processing (2007)

The IFIP series publishes state-of-the-art results in the sciences and technologies of information and communication. The scope of the series includes: foundations of computer science; software theory and practice; education; computer applications in technology; communication systems; systems modeling and optimization; information systems; computers and society; computer systems technology; security and protection in information processing systems; artificial intelligence; and human-computer interaction. Proceedings and post-proceedings of referred international conferences in computer science and interdisciplinary fields are featured. These results often precede journal publication and represent the most current research. The principal aim of the IFIP series is to encourage education and the dissemination and exchange of information about all aspects of computing.
Disambiguating Personal Names on the Web using Automatically Extracted Key Phrases
Authors: Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuka
Venue: Proceeding of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy (2006)

When you search for information regarding a particular person on the web, a search engine returns many pages. Some of these pages may be for people with the same name. How can we disambiguate these different people with the same name? This paper presents an unsupervised algorithm which produces unique phrases to disambiguate different people with the same name (i.e. namesakes). Our algorithm takes in a personal name and outputs multiple sets of phrases which uniquely identify the different namesakes on the web. These phrases could then be added to the query to narrow down the search to a specific namesake. We evaluated the algorithm on a collection of documents retreived from the Web. Experimental results show a significant improvement over the existing methods proposed for this task.
Communities, technology, and civic intelligence
Authors: Douglas Schuler
Venue: Proceedings of the fourth international conference on Communities and technologies (2009)

In this paper, we ask what it would take to envision and support collective intelligence that was socially and environmentally ameliorative. To help answer that question we introduce the concept of "civic intelligence" as a manifestation of collective intelligence that could serve the needs of researchers and practitioners working at the intersection of communities and technology. We build a case for its importance and relevance, and provide several examples, and some preliminary models and frameworks. We also discuss implications for members of this community. We argue that an examination of the social context is critical and that a civic intelligence orientation surfaces important research questions. We present some thoughts on future projects that would help promote understanding about civic intelligence while improving it. Finally we present some choices before us as we move forward in an environment that is dynamic and uncertain.
Toward a proposed methodology to assess e-government websites usability in the context of cultural dimensions: (research in progress)
Authors: Susana B. Vidrio-Baron, Anthony Max Townsend, Mack Clayton Shelley
Venue: Proceedings of the 10th Annual International Conference on Digital Government Research: Social Networks: Making Connections between Citizens, Data and Government (2009)

Since the World Wide Web was conceived, its main objective has been to deliver information in the most appropriate and efficient fashion to users. As a result, the Internet proves to be the most interactive and global means of communication and reaches more international audiences than any other massive communication technology. In order to address the need to understand and identify the best way to deliver the communication to the targeted users, which in the case of e-government, some diverse methodologies and tools have been adopted from such disciplines as marketing, computer science, MIS, and lately, Human-Computer Interaction with the inclusion of the Usability Evaluation Heuristics.
Gauss-Markov Random field model for non-quadratic regularization of complex SAR images
Authors: Dušan Gleich, Peter Planinšič, Matej Kseneman, Matteo Soccorsi
Venue: Proceedings of the 7th WSEAS international conference on System science and simulation in engineering (2008)

This paper presents despeckling and information extraction using non-quadratic regularization. The novelty of this paper is that instead of the Gaussian prior model a Gauss-Markov random field model is chosen, because it can efficiently model textures in the images. The iterative procedure consist of noise-free image and texture parameter. The experimental results show that the proposed method satisfactorily removes noise form synthetic and real SAR images and is comparable with the state of the art methods using objective measurements on synthetic SAR images.
Delay-dependent robust H∞ control for uncertain systems with time-varying delay
Authors: Chen Peng, Yu-Chu Tian
Venue: Information Sciences: an International Journal (2009)

This paper proposes a new approach for delay-dependent robust H"~ stability analysis and control synthesis of uncertain systems with time-varying delay. The key features of the approach include the introduction of a new Lyapunov-Krasovskii functional, the construction of an augmented matrix with uncorrelated terms, and the employment of a tighter bounding technique. As a result, significant performance improvement is achieved in system analysis and synthesis without using either free weighting matrices or model transformation. Examples are given to demonstrate the effectiveness of the proposed approach.
Consistency property of finite FC-normal logic programs
Authors: Yi-Song Wang, Ming-Yi Zhang, Yu-Ping Shen
Venue: Journal of Computer Science and Technology (2007)

Marek's forward-chaining construction is one of the important techniques for investigating the nonmonotonic reasoning. By introduction of consistency property over a logic program, they proposed a class of logic programs, FC-normal programs, each of which has at least one stable model. However, it is not clear how to choose one appropriate consistency property for deciding whether or not a logic program is FC-normal. In this paper, we firstly discover that, for any finite logic program Π, there exists the least consistency property LCon(Π) over Π, which just depends on Π itself, such that, Π is FC-normal if and only if Π is FC-normal with respect to (w.r.t.) LCon(Π). Actually, in order to determine the FC-normality of a logic program, it is sufficient to check the monotonic closed sets in LCon(Π) for all non-monotonic rules, that is LFC(Π). Secondly, we present an algorithm for computing LFC(Π). Finally, we reveal that the brave reasoning task and cautious reasoning task for FC-normal logic programs are of the same difficulty as that of normal logic programs.
Programming Teaching Support System Using Student Model
Authors: KeunWoo Han, EunKyoung Lee, YoungJun Lee
Venue: Proceeding of the 2006 conference on Learning by Effective Utilization of Technologies: Facilitating Intercultural Understanding (2006)

This paper describes the CTi system that supports teachers in C programming courses. The CTi system provides teachers with student's model, various learning information and inductive instruction tools. Teachers using the system can provide effective feedback to students. Bayesian Belief Networks are used to represent a student's model and relationship between the structure of programming language and the student's knowledge. An empirical study showed the CTi system had positive effects on students' programming performance.
Knowledge Cluster Systems for Knowledge Sharing, Analysis and Delivery among Remote Sites
Authors: Koji Zettsu, Takafumi Nakanishi, Michiaki Iwazume, Yutaka Kidawara, Yasushi Kiyoki
Venue: Proceeding of the 2008 conference on Information Modelling and Knowledge Bases XIX (2008)

We, NICT, recently started a new project for research and development of “knowledge cluster systems” for knowledge sharing, analysis, and delivery among remote knowledge sites. We introduce several key concepts of the knowledge cluster systems. The “Three-site model” for knowledge system architecture defines three roles of remote sites: knowledge capture, knowledge transfer, and knowledge provision, with respect to the lifecycle of knowledge communication. The “global knowledge grid” is as an infrastructure that is suitable for implementing knowledge cluster systems on the basis of the three-site model. The knowledge cluster systems build an evolving network of community knowledge by connecting heterogeneous knowledge bases. The “global risk management system” is being developed as an application of the knowledge cluster systems.
Accelerated Future Learning via Explicit Instruction of a Problem Solving Strategy
Authors: Min Chi, Kurt Vanlehn
Venue: Proceeding of the 2007 conference on Artificial Intelligence in Education: Building Technology Rich Learning Contexts That Work (2007)

Explicit instruction in a problem-solving strategy accelerated learning not only in the domain where it was taught but also in a second domain where it was not taught. We present data from a study in which students learned two unrelated deductive domains: probability and physics. During the probability instruction, the Strategy group was trained with an Intelligent Tutoring System (ITS) that explicitly taught a domain-independent backward chaining problem-solving strategy while the No-strategy groups trained with another ITS without any explicit strategy instruction. During the subsequent physics instruction, both groups were trained with the same ITS, which did not explicitly teach any strategy. The Strategy group gained significantly more than the No-strategy group in both domains. Moreover, their gains were evident both on multiple-principle problems, where the strategy should make problem solving more efficient, and on single-principle ones, where the strategy should make no difference. This suggests that the strategy increased the students' learning of domain principles and concepts, because that is all they had to know in order to solve the single-principle problems.
A Software Platform for Real-Time Visualization and Manipulation of 4D Cardiac Images
Authors: Qi Zhang, Roy Eagleson, Terry M. Peters
Venue: Proceedings of the 5th International Conference on Functional Imaging and Modeling of the Heart (2009)

Current capabilities of computerized radiology equipment have made three-dimensional (3D) and 4D (3D + time) medical images available for cardiac diagnosis, as well as for planning and guidance of therapy. Real-time display and interaction with these images plays an important role. To address this need, we have developed a graphics processing unit (GPU) accelerated 4D medical image visualization and manipulation platform, in which different levels of image representation and operation are employed, and anatomical volume of interest (VOI) can be efficiently enhanced. In addition, a new "depth texture indexing" algorithm is described to allow virtual surgical tools to be included in this environment, and a preliminary user study is performed to test the clinical usefulness and user performance enhancement when using the new techniques implemented in this software platform. The aim of this work is to supply cardiologists and surgeons with a comprehensive visualization software framework for cardiac disease preoperative diagnosis, treatment planning, and surgery guidance.
Reducing Ambiguity in Tagging Systems with Folksonomy Search Expansion
Authors: Jeff Z. Pan, Stuart Taylor, Edward Thomas
Venue: Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications (2009)

Search facilities are vital for folksonomy (or social tagging mechanism) based systems. Although these systems allow great malleability and adaptability, they also surfer from problems, such as ambiguity in the meaning of tags, flat organisation of tags and some degree of unstabilising factor on consensus about which tags best describe some certain Web resources. It has been argued that folksonomy structure can be enhanced by ontologies; however, as suggested by Hotho et al., a key question remains open: how to exploit the benefits of ontologies without bothering untrained users with its rigidity. In this paper, we propose an approach to address the problem of ambiguity in tagging systems by expanding folksonomy search with ontologies, which are completely transparent to users. Preliminary implementations and evaluations on the efficiency and the usefulness of such expansions are very promising.
Adobe Premiere Pro CS3 Classroom in a Book
Authors: Adobe Creative Team
Venue:  (2007)

Watch out, Final Cut Pro. For the first time in five years, Adobe Premiere Pro, Adobe's flagship digital video editing application, is once again available for both Macintosh and Windows users. This project-based book covers not just the basics of working with audio, creating transitions, and producing titles, but also all that's new in Premiere Pro: the ability to build Blu-ray Disc, DVD, and Flash projects with Adobe Encore CS3 (now included with Premiere Pro CS3); Adobe OnLocation CS3, which lets on-the-road users record footage directly to their computer disk--removing the need to capture video to tape later. Readers will enjoy learning to create slow-motion effects with Time Remapping, and will get up to speed on Premiere's new editing tools. What's more, users can compress their finished video for delivery to the latest handheld devices, such as mobile phones, iPods, PSPs, smartphones, and more. Best of all, the book's accompanying DVD includes real footage that you can practice on.
Intelligent hybrid approach to false identity detection
Authors: Tossapon Boongoen, Qiang Shen
Venue: Proceedings of the 12th International Conference on Artificial Intelligence and Law (2009)

Combating identity fraud is prominent and urgent since false identity has become the common denominator of all serious crime. Among many identified identity attributes, personal names are commonly falsified or aliased by most criminals and terrorists. Typical approaches to such name disambiguation rely on the text-based similarity measures, which are efficient to some extent, but severely fail to handle highly deceptive and unknown identities. In light of aforementioned shortcoming, this paper presents an intelligent hybrid approach that proficiently combines both content-based and link-based measures of examined names to refine the justification of their similarity. In particular, a new link-based method that exploits multiple link properties is introduced and deployed within the proposed hybrid mechanism. The experimental evaluation of this measure and the hybrid model against other link-based and text-based techniques, over a terrorist-related dataset, significantly indicates their great potentials towards an effective verification system.
Data driven decision support to supermarket layout
Authors: Ibrahim Cil, Derya Ay, Yusuf S. Turkan
Venue: Proceedings of the 8th WSEAS international conference on Artificial intelligence, knowledge engineering and data bases (2009)

Knowledge is the most valuable asset in today's dynamic business environment. In many organizations, decisions are made based on a combination of judgment and knowledge extracted from databases. Successful business organization to be able to react rapidly to the changing market demands both locally and globally, by utilizing the latest data mining techniques of extracting previously unknown and potentially useful knowledge from vast resources of raw data. We propose a methodological framework for the use of the knowledge discovery process to improve store layout. In this paper, we propose a data driven decision support for store layout and present an empirical study. This paper develops a relational database and uses Apriori algorithm and multidimensional scaling techniques as methodologies for the store layout issue. As the empirical study, a supermarket analysis has done for Migros Turk A.S, a leading Turkish retailing company.
Assessing mobile technostress
Authors: Lung-Hsing Kuo, Li-Min Chen, Hung-Jen Yang, Hsieh-Hua Yang, Jui-Chen Yu, Wen-Chen Hu
Venue: Proceedings of the 8th Wseas international conference on Telecommunications and informatics (2009)

From time to time, new technology brings people impacts. Mobile information system provides new way for manipulating information in both directions, sending out and bringing in. Anywhere and anytime are both the characteristics of mobile technology that people could get rid of. The purpose of this study was to explore mobile technostress and bring up the discussion of assessing and managing. A balance theory was concluded and how to cope with mobile technostress was also discussed.
Just Enough C/C++ Programming, 1st edition
Authors: Guy W. Lecky-Thompson
Venue:  (2007)

C/C++ programming is often thought of as inaccessible, but these languages form the basis for many other programming languages and paradigms, and as such are vital, necessary skills for any IT professional to learn. Just Enough C/C++ Programming provides an intelligent laypersons guide to programming. The book does not assume you are dimwitted, like so many other beginning programming texts do, but it doesnt assume you are an engineer either. It simply gives you enough C/C++ language knowledge to be able to complete practical, industry-related, programming projects without becoming sidetracked. In short, it teaches you everything you need to know to be a successful programmer, without overloading you on the details. The book begins by explaining the tools youll need, providing a concise introduction to the world of programming, and explaining the basic structure of a C program. Algorithm design for common programming problems, use of compilers and pre-processors, and the standard ANSI C libraries are all covered in enough detail so that you can pick up and apply the knowledge immediately. Next, the book covers the most relevant differences between C and C++, including C++ Standard Libraries, templates, and STL. The companion web site includes usable sample code for download and key pointers on how the code can be adapted for real-world use. Perfect for any aspiring software developer, Just Enough C/C++ Programming offers both a comfortable read, and practical, applicable, ready-to-use knowledge. 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
Technical Software Development Process in the XML Domain
Authors: Liming Zhu, Tu Tak Tran, Mark Staples, Ross Jeffery
Venue: Proceedings of the International Conference on Software Process: Trustworthy Software Development Processes (2009)

Background: A Technical Development Process (TDP) is a development process for a particular technology, such as XML, service orientation, object orientation or a programming language. Unlike software development life-cycle processes, TDPs provide concrete and detailed guidance to software engineers working in a particular technology domain. TDPs are currently not well understood in terms of description, modelling and interactions with life-cycle processes. Aim: In this paper, we investigate what are TDPs in the XML domain and how can TDPs be modelled using existing development process modelling notations and tools. Method: We extracted XML specific TDPs from literatures, interviews and internal documentation within software development organizations and conducted systematic verifications and validations. Results: We identify different types of TDPs in the XML domain and propose mechanisms to model TDPs using Software Process Engineering Meta-models (SPEM) in the Eclipse Modelling Framework (EPF). Conclusion: The results demonstrate the feasibility of explicitly identifying and modelling of TDPs in the context of software process modelling and how they are used in software development. The results help further bridge the gap between macro-processes (life-cycle and management-centred processes) and micro-processes (e.g. developer-centred TDPs).
6th International Workshop on Information Optics (WIO '07) Reykjavik, Iceland, 25-30 June 2007, 1st edition
Authors: Jn Atli Benediktsson, Bahram Javidi, Karl S. Gudmundsson
Venue: Aip Conference Proceedings (2007)

This volume contains the proceedings of the Sixth International Workshop on Information Optics (WIO'07). The workshop addressed the scientific developments in the wide field of information optics. Its main aim was to present the latest advances in information photonics, imaging sciences and engineering, 3D image sensing and display, polarimetric imaging, image based information security, image recognition and novel image sensors. This aim was successfully accomplished, thanks to the contributions of researchers from different communities, assessing the state of the art in this subject.
Brief paper: State and input observability recovering by additional sensor implementation: A graph-theoretic approach
Authors: T. Boukhobza, F. Hamelin
Venue: Automatica (Journal of IFAC) (2009)

This paper deals with the problem of additional sensor location in order to recover the state and input observability for structured linear systems. The proposed method is based on a graph-theoretic approach and assumes only the knowledge of the system's structure. It allows one to provide the minimal number of the required sensors and either their pertinent location or a necessary and sufficient condition which allows one to check if a sensor location is adequate or not. We obtain a sensor placement procedure based on classical and well-known graph theory algorithms, which have polynomial complexity orders.
Interactive visualization of recursion with SRec
Authors: J. Á Velázquez-Iturbide, Antonio Pérez-Carrasco, Jaime Urquiza-Fuentes
Venue: ACM SIGCSE Bulletin (2009)

SRec is an animation system of recursion intended to assist in algorithm courses. We present the main contributions of version 1.1. First, SRec fully supports any kind of recursion. Second, it provides three additional graphical representations for divide-and-conquer algorithms. Finally, it is highly interactive to promote an exploratory style of learning.