ppxscal/embedding_network huggingface dataset:
Tangible Collaborative Learning Support System for Spatio-Temporal Contents
Authors: Yuta Maruyama, Keigo Kitahara, Tomoo Inoue, Hiroshi Shigeno, Kenichi Okada
Venue: Proceeding of the 2005 conference on Towards Sustainable and Scalable Educational Innovations Informed by the Learning Sciences: Sharing Good Practices of Research, Experimentation and Innovation (2005)

This paper focuses on face-to-face collaborative learning in a classroom using spatio-temporal contents, which is typically conducted after outdoor class in an elementary school. A tangible collaborative learning support system that uses spatio-temporal contents has been proposed and implemented. Temporal data sequence that shows growth of a plant and geographic data collection are visualized on a table display by the system. Methods for operating and exchanging contents smoothly on the system have also been developed. Experiments have revealed that the system could provide better accessibility to the contents than with a traditional practice.
CMOS implementation of an artificial neuron training on logical threshold functions
Authors: V. Varshavsky, V. Marakhovsky, H. Saito
Venue: WSEAS Transactions on Circuits and Systems (2009)

This paper offers a new methodology for designing in CMOS technology analog-digital artificial neurons training on arbitrary logical threshold functions of some number of variables. The problems of functional ability, implementability restrictions, noise stability, and refreshment of the learned state are formulated and solved. Some functional problems in experiments on teaching logical functions to an artificial neuron are considered. Recommendations are given on selecting testing functions and generating teaching sequences. All results in the paper are obtained using SPICE simulation. For simulation experiments with analog/digital CMOS circuits, transistor models MOSIS BSIM3v3.1, 0.8amicro;m, level 7 are used.
An empirical evaluation of information security awareness levels in designing secure business processes
Authors: Fergle D'Aubeterre, Lakshmi S. Iyer, Rahul Singh
Venue: Proceedings of the 4th International Conference on Design Science Research in Information Systems and Technology (2009)

Information Systems Security (ISS) is critical to ensuring the integrity and credibility of digitally exchanged information in business processes. Information systems development methodology that considers security requirements in the early phases of systems development is essential for ISS. In the context of ISS, information security awareness (SA) can play a vital role in minimizing end-user related security faults and maximizing the efficiency of security techniques. This information security awareness should be present in the requirements gathering phase of the software development process so that analysts become more aware of security constraints and possible violations resulting into secure business processes. In this paper, we extend the work by D'Aubeterre et al. (2008b) to evaluate the utility of Secure Activity Resource Coordination artifacts in generating three levels of security awareness: perception, comprehension and prediction. The experimental evaluation shows that using SARC artifacts analysts are able to better explain the current state of security of a business process. Should violations occur, analysts are able to explain the nature of security violation in terms of segregation of duties, non-repudiation, and authorization.
Interior Design Visual Presentation: A Guide to Graphics, Models and Presentation Techniques, 3rd edition
Authors: Maureen Mitton
Venue:  (2007)

Develop the skills you need to deliver presentations that sell. This unique resource focusing on the visual design and presentation skills of the interior designer, offers thorough, process-oriented coverage on the planning, layout, and design of interior building spaces, complete with a broad range of real-world examples. The author's accessible, how-to approach guides you through a variety of techniques for executing creative and successful design graphics, models, and presentations. She includes the latest information on CAD and digital portfolios, as well as Web page design. Dozens of high-quality, full-color illustrations highlight step-by-step instructions detailing techniques and approaches. This is the only book to follow FIDER accredited course requirements, covering all three required subjects. Order your copy today. 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
Unveiling core network-wide communication patterns through application traffic activity graph decomposition
Authors: Yu Jin, Esam Sharafuddin, Zhi-Li Zhang
Venue: Proceedings of the eleventh international joint conference on Measurement and modeling of computer systems (2009)

As Internet communications and applications become more complex,operating, managing and securing networks have become increasingly challenging tasks. There are urgent demands for more sophisticated techniques for understanding and analyzing the behavioral characteristics of network traffic. In this paper, we study the network traffic behaviors using traffic activity graphs (TAGs), which capture the interactions among hosts engaging in certain types of communications and their collective behavior. TAGs derived from real network traffic are large, sparse, yet seemingly complex and richly connected, therefore difficult to visualize and comprehend. In order to analyze and characterize these TAGs, we propose a novel statistical traffic graph decomposition technique based on orthogonal nonnegative matrix tri-factorization (tNMF) to decompose and extract the core host interaction patterns and other structural properties. Using the real network traffic traces, we demonstrate that our tNMF-based graph decomposition technique produces meaningful and interpretable results. It enables us to characterize and quantify the key structural properties of large and sparse TAGs associated with various applications, and study their formation and evolution.
Choosing sense distinctions for WSD: psycholinguistic evidence
Authors: Susan Windisch Brown
Venue: Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Short Papers (2008)

Supervised word sense disambiguation requires training corpora that have been tagged with word senses, which begs the question of which word senses to tag with. The default choice has been WordNet, with its broad coverage and easy accessibility. However, concerns have been raised about the appropriateness of its fine-grained word senses for WSD. WSD systems have been far more successful in distinguishing coarsegrained senses than fine-grained ones (Navigli, 2006), but does that approach neglect necessary meaning differences? Recent psycholinguistic evidence seems to indicate that closely related word senses may be represented in the mental lexicon much like a single sense, whereas distantly related senses may be represented more like discrete entities. These results suggest that, for the purposes of WSD, closely related word senses can be clustered together into a more general sense with little meaning loss. The current paper will describe this psycholinguistic research and its implications for automatic word sense disambiguation.
A Practical Temporal Constraint Management System for Real-Time Applications
Authors: Luke Hunsberger
Venue: Proceeding of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence (2008)

A temporal constraint management system (TCMS) is a temporal network together with algorithms for managing the constraints in that network over time. This paper presents a practical TCMS, called MYSYSTEM, that efficiently handles the propagation of the kinds of temporal constraints commonly found in real-time applications, while providing constant-time access to “all-pairs, shortest-path” information that is extremely useful in many applications. The temporal network in MYSYSTEM includes special time-points for dealing with the passage of time and eliminating the need for certain common forms of constraint propagation. The constraint propagation algorithm in MYSYSTEM maintains a restricted set of entries in the associated all-pairs, shortest-path matrix by incrementally propagating changes to the network either from adding a new constraint or strengthening, weakening or deleting an existing constraint. The paper presents empirical evidence to support the claim that MYSYSTEM is scalable to real-time planning, scheduling and acting applications.
Object order based on concept analysis and Moebius Inversion Function
Authors: Petr Gajdoš, Daniela Ďuráková
Venue: Proceeding of the 2006 conference on Information Modelling and Knowledge Bases XVII (2006)

Ordering objects of interest according to a given criterion often provides a useful piece of information to solve a problem of information processing. A new method of linear order based on Formal Concept Analysis (FCA) and Moebius function is described. The description method uses an example of selecting important key indicators in a specific geographical area. An indicator is defined as a characteristic number (weight) representing in a unique way certain important features of the area in question. The weights are assigned to each indicator in different categories. Using FCA, interdependencies among the indicators are analysed and the indicators are sorted according to their importance and uniqueness in the area description. A new method based on Conjugate Moebius Inversion Function (CMI) was used to evaluate the set of indicators selected as representatives for a pilot area. The output of the method is a sequence of objects / indicators ordered according to their calculated value of importance of every indicator. The method described in the article appears to be an important contribution to the evaluation of regional competitiveness in the 5th Framework Programme RTD project “Iron Curtain”.
Distributed planning and coordination in non-deterministic environments
Authors: Antonín Komenda, Jiří Vokřínek, Michal Pěchouček, Gerhard Wickler, Jeff Dalton, Austin Tate
Venue: Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2 (2009)

We present a demonstration of a multi-agent prototype for distributed planning and coordination in dynamic non-deterministic multi-actor mixed-initiative environments. The system provides flexible planning, replanning, and task allocation. The key technologies utilized in the system are (i) I-X hierarchical planner with (ii) agent-based architecture and (iii) commitment-based plan representation. The implementation of the system was verified and evaluated in simulated environment. The experimental validation confirms the performance, stability, and robustness of the system in complex scenarios. In this demonstration we present the compilation of the most representative scenarios.
Sub-&#x03bc;m structured lotus surfaces manufacturing
Authors: Matthias Worgull, M. Heckele, T. Mappes, B. Matthis, G. Tosello, T. Metz, J. Gavillet, P. Koltay, H. N. Hansen
Venue: Microsystem Technologies (2009)

Sub-&#x03bc;m structured surfaces allow modifying the behavior of polymer films or components. Especially in micro-fluidics a lotus-like characteristic is requested for many applications. Structure details with a high aspect ratio are necessary to decouple the bottom and the top of the functional layer. Unlike to stochastic methods, patterning with a LIGA-mold insert it is possible to structure surfaces very uniformly or even with controlled variations (e.g., with gradients). In this paper we present the process chain to realize polymer sub-&#x03bc;m structures with minimum lateral feature size of 400&#x00a0;nm and up to 4&#x00a0;&#x03bc;m high.
Microsoft Visual Basic 2008 Express Programming for the Absolute Beginner, 1st edition
Authors: Jerry Lee Ford
Venue:  (2009)

Want to learn to program in Windows but dont know where to start? Look no further! This book is designed to teach you how to develop Windows applications using Microsoft Visual Basic 2008 Express. To help make learning fun and interesting, you will learn how to program through the development of computer games, and you will develop a new game that reinforces a newly learned concept in each chapter. Its the easiest way to learn! By the time you have finished the book, not only will you have access to a collection of working sample scripts, you also will have laid a foundation upon which you can begin to tackle real-world challenges and new languages. Whether you are an experienced programmer looking for a jumpstart on learning Visual Basic 2008 Express, or a first-timer looking for a friendly programming language and a book that will help you to begin your programming career, you will be happy with what this book has in store for you!
On-board real time monitor for diesel engine vehicles
Authors: Y. S. Shiao, C. C. Li, C. E. Lin, C. C. Li, C. J. Sun, W. C. Huang, I. H. Lin
Venue: Proceedings of the 2009 Euro American Conference on Telematics and Information Systems: New Opportunities to increase Digital Citizenship (2009)

Diesel engine vehicle has made great air pollution to atmosphere. Post processor is applied to reduce particulate matters (PM) and Nitrogen Oxide compound (NOx) in the air. However, the post processors should require an appropriate monitor to track their performance in real time for an overall effect evaluation. This paper presents a monitor system using microprocessor design for data acquisition and real time reporting on Internet via wireless communication. The proposed monitor system includes the on-board unit hardware for post processor data acquisition, control station at garage, and surveillance center at Environment Protection Administration (EPA). Verification using trash vehicles and city buses in Kaohsiung City is demonstrated. Significant pollution reduction is observed from a long term operational statistics data.
On the extremal Merrifield-Simmons index and Hosoya index of quasi-tree graphs
Authors: Shuchao Li, Xuechao Li, Wei Jing
Venue: Discrete Applied Mathematics (2009)

It is well known that the two graph invariants, ''the Merrifield-Simmons index'' and ''the Hosoya index'' are important in structural chemistry. A graph G is called a quasi-tree graph, if there exists u"0 in V(G) such that G-u"0 is a tree. In this paper, at first we characterize the n-vertex quasi-tree graphs with the largest, the second-largest, the smallest and the second-smallest Merrifield-Simmons indices. Then we characterize the n-vertex quasi-tree graphs with the largest, the second-largest, the smallest and the second-smallest Hosoya indices, as well as those n-vertex quasi-tree graphs with k pendent vertices having the smallest Hosoya index.
Investigation of performance of laminated bamboo chair through virtual testing
Authors: Vanchai Laemlaksakul
Venue: Proceedings of the 10th WSEAS international conference on Mathematical and computational methods in science and engineering (2008)

The strength and durability of chair is one of the most important requirements for furniture design. A numerical method for predicting the strength and the durability has been successfully developed and used to examine the quality control and structure design of a chair. This particular study assessed the strength under static and dynamic loading test analysis of a laminated bamboo chair. The numerical model of ISO 7173 (Furniture - Chairs and stools - Determination of strength and durability) was employed to establish a procedure to perform virtual testing on the laminated one in order to reduce loss from structure failure, cost of sample testing and time. The simulations involve a non-linear dynamic finite element (FE) software. The virtual testing showed the improvement of design of laminated bamboo chair.
Machine efficiency and man power utilization on production lines
Authors: S. K. Subramaniam, S. H. Husin, Y. Yusop, A. H. Hamidon
Venue: Proceedings of the 8th WSEAS international conference on Electronics, hardware, wireless and optical communication (2009)

Efficiency of industrial production lines is crucial as it results in an improved production and utilization of available resources. Factors contributing to production line efficiency are manpower utilization and machine efficiency. Measuring the machine efficiency and man power utilization should be on-line, accurate and truthful. The management should be able to look for relevant production data and to accurately interpret these data in order to identify the various faults at production level and to immediately take steps to improve efficiency. However, faults are overwritten and reports are retouched with inaccurate information. An accurate and on line data management system can ensure that these problems are overcome.
An approach for managing web services changes
Authors: Maamar Khater, Mimoun Malki
Venue: International Journal of Information Systems and Change Management (2008)

The dynamic environment where organisations and providers live imposes a gradually evolving of their services to meet new needs, technological changes and requirements of these users. Therefore, the evolution of web services becomes necessary because it is inevitable that services will evolve overtime and clients will always ask for new features. Unfortunately, the current standards do not support necessary mechanisms to ensure the behaviour evolution of the web services. This problem becomes more complex for dynamic adaptation and for web service upgrade by non-backwards-compatible changes. In this paper, we present an approach to manage the behaviour evolution of web services and adapt dynamically their clients by providing a set of change operators for services and a set of adaptation rules for clients. This approach is validated within a framework proposed at the end of this paper.
An Attentive Machine Interface Using Geo-Contextual Awareness for Mobile Vision Tasks
Authors: Katrin Amlacher, Lucas Paletta
Venue: Proceeding of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence (2008)

The presented work settles attention in the architecture of ambient intelligence, in particular, for the application of mobile vision tasks in multimodal interfaces. A major issue for the performance of these services is uncertainty in the visual information which roots in the requirement to index into a huge amount of reference images. We propose a system implementation --the Attentive Machine Interface (AMI) --that enables contextual processing of multi-sensor information in a probabilistic framework, for example to exploit contextual information from geo-services with the purpose to cut down the visual search space into a subset of relevant object hypotheses. We present a proof-of-concept with results from bottom-up information processing from experimental tracks and image capture in an urban scenario, extracting object hypotheses in the local context from both (i) mobile image based appearance and (ii) GPS based positioning, and verify performance in recognition accuracy (> 10%) using Bayesian decision fusion. Finally, we demonstrate that top-down information processing --geo-information priming the recognition method in feature space --can yield even better results (> 13%) and more economic computing, verifying the advantage of multi-sensor attentive processing in multimodal interfaces.
Constructing accurate, space-efficient, wireless coverage maps for vehicular contexts
Authors: David N. Cottingham, Robert K. Harle, Andy Hopper
Venue: Proceedings of the 4th Annual International Conference on Wireless Internet (2008)

Wireless connectivity for vehicles is a fast-growing market, with a plethora of different network technologies already in use. Surveys of the numbers of IEEE 802.11b/g access points in cities point to hundreds to thousands of networks within each square kilometre, with coverage areas that are not easily predicted due to the complexities of the urban environment. In order to take advantage of the diversity in wireless networks available, we need data concerning their coverage. Methods of generating such coverage maps that are accurate, space-efficient and easy to query are not a well addressed area. In this paper, we present and evaluate, using a large corpus of real-world data, novel algorithms for processing large quantities of signal strength values into coverage maps that satisfy such requirements.
Learning and inferencing in user ontology for personalized Semantic Web search
Authors: Xing Jiang, Ah-Hwee Tan
Venue: Information Sciences: an International Journal (2009)

User modeling is aimed at capturing the users' interests in a working domain, which forms the basis of providing personalized information services. In this paper, we present an ontology based user model, called user ontology, for providing personalized information service in the Semantic Web. Different from the existing approaches that only use concepts and taxonomic relations for user modeling, the proposed user ontology model utilizes concepts, taxonomic relations, and non-taxonomic relations in a given domain ontology to capture the users' interests. As a customized view of the domain ontology, a user ontology provides a richer and more precise representation of the user's interests in the target domain. Specifically, we present a set of statistical methods to learn a user ontology from a given domain ontology and a spreading activation procedure for inferencing in the user ontology. The proposed user ontology model with the spreading activation based inferencing procedure has been incorporated into a semantic search engine, called OntoSearch, to provide personalized document retrieval services. The experimental results, based on the ACM digital library and the Google Directory, support the efficacy of the user ontology approach to providing personalized information services.
Real time earthquake azimuth estimation using parallel wavelet transform
Authors: G. Hloupis, F. Vallianatos, J. P. Makris
Venue: Proceedings of the 8th WSEAS International Conference on Software engineering, parallel and distributed systems (2009)

Wavelet Transform has been successfully used for many problems of seismological research. Its traditional form, based on serial implementation, satisfied the vast majority of requirements. Here we examined the parallel implementation of wavelet transform for the real time azimuth estimation. The performance improvement using parallel implementation is the objective that we seek since the above estimation is a critical part of an earthquake early warning system. Out results indicate that the improvement that we gather by the parallelization of wavelet transform can make a considerable difference on the performance of the early warning system.
Analysis of the moment based image normalization effects on watermarking capacity in DCT and DWT domains
Authors: Cabir Vural, Serap Kazan
Venue: Proceedings of the 3rd WSEAS international symposium on Wavelets theory and applications in applied mathematics, signal processing & modern science (2009)

The goal of this study is to investigate how the moment based image normalization procedure that is used to increase robustness of a digital image watermark especially for geometrical attacks affects the capacity of a digital image watermarking algorithm. For this purpose, watermark was inserted in discrete cosine and wavelet domains with and without normalization. Then, several attacks were performed on the watermarked images and the capacities of the resulting distorted images were estimated by using the statistical approach proposed by Moulin and Mihcak. Simulations show that the discrete wavelet transform always outperforms the discrete cosine transform.