ppxscal/embedding_network huggingface dataset:
Security in collaborative multimedia art communities
Authors: Dimitrios Koukopoulos, Georgios D. Styliaras
Venue: Proceedings of the 2009 Euro American Conference on Telematics and Information Systems: New Opportunities to increase Digital Citizenship (2009)

We propose a system for organizing the creation and the interaction in multimedia environments that permit the collaboration among artists and audience. This system approaches security issues in multimedia content performing authorization and watermarking mechanisms. Authorization mechanism controls artist and audience operations in multimedia files based on a set of actions imposed on real-life scenarios. Digital watermarking mechanism handles copyright-protection and authentication issues that appear in multimedia systems applying a semantically secure watermark. The main contribution of such a watermark relies on the fact that it gives to the users the enhanced capability their ownership of the multimedia file not to be accomplished simply by detecting the bit pattern that comprises the watermark itself, but by showing that the legal owner knows a hard to compute property of the watermark. The strength of our system considers multimedia content not as an atomic digital entity, but as a part of a project with a specific workflow that applies watermarking techniques in all its parts.
Recovering Shape by Shading and Stereo Under Lambertian Shading Model
Authors: Chi Kin Chow, Shiu Yin Yuen
Venue: International Journal of Computer Vision (2009)

A method that integrates shape from shading and stereo is reported for Lambertian objects. A rectification is proposed to convert any lighting direction from oblique to orthographic. A sparse stereo method is reported that directly uses depth information and has no foreshortening problem. The method completely solves three difficult problems in stereo, namely, recovering depth at occlusion; matching at places with similar shading and matching at smooth silhouettes. The method has been tested on both synthetic and real images. It shows superior performance compared with two recent stereo algorithms. It is also a method based on the physics of image formation.
Multiscale fusion of wavelet-domain hidden Markov tree through graph cut
Authors: Yinhui Zhang, Yunsheng Zhang, Zifen He, Xiangyang Tang
Venue: Image and Vision Computing (2009)

Since object boundaries appear blurry, reduced localization accuracy of wavelet-domain hidden Markov tree-based (WHMT) method poses a problem during the object extraction process. A novel approach to improve localization accuracy by fusing multiscale information of the tree model is presented. We start with calculating the multiscale classification likelihoods of wavelet coefficients by expectation-maximization (EM) algorithm. Energy function is then generated by combining boundary term estimated by classification likelihoods with regional term obtained by approximation coefficients. Through energy minimization via graph cuts, objects are extracted accurately from the images. A performance measure for tobacco leaf inspection is used to evaluate our algorithm.
Behavior-based mobility prediction for the fast handoffs in wireless lans
Authors: Weetit Wanalertlak
Venue:  (2008)

Wireless Networks have been widely adopted into a major part of today's network infrastructure. They have become a popular technology to not only expand the coverage of wired networks but also to interconnect a large wireless network, i.e., wireless mesh networks. As they allow more exible communication than traditional wired-networks some challenges are raised, such as maintaining a seamless connectivity when Mobile Stations (MSs) move across the cells and dynamically adjusting resources for the transit MSs. Many solutions have proposed using mobility prediction to allow network devices and applications to prepare and adjust before the actual movement. However, none of the existing work considers mobility related to human factors. Therefore, this thesis proposes a technique called Behavior-based Mobility Prediction (BMP) that captures the dynamic behavior of MSs and the network by considering location, group, time-of-day, and duration factors. The proposed BMP is targeted to provide accurate next Access Point (next-AP) predictions for WLANs to minimize the handoff latency. Moreover, the prediction can also apply to resource allocation in any type of Wireless Networks. Our simulation study shows that BMP virtually eliminates the need to scan for APs during handoffs and results in much better overall handoff delay compared to existing methods. 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
Designing for the Digital Age: How to Create Human-Centered Products and Services
Authors: Kim Goodwin
Venue:  (2009)

Whether youre designing consumer electronics, medical devices, enterprise Web apps, or new ways to check out at the supermarket, todays digitally-enabled products and services provide both great opportunities to deliver compelling user experiences and great risks of driving your customers crazy with complicated, confusing technology. Designing successful products and services in the digital age requires a multi-disciplinary team with expertise in interaction design, visual design, industrial design, and other disciplines. It also takes the ability to come up with the big ideas that make a desirable product or service, as well as the skill and perseverance to execute on the thousand small ideas that get your design into the hands of users. It requires expertise in project management, user research, and consensus-building. This comprehensive, full-color volume addresses all of these and more with detailed how-to information, real-life examples, and exercises. Topics include assembling a design team, planning and conducting user research, analyzing your data and turning it into personas, using scenarios to drive requirements definition and design, collaborating in design meetings, evaluating and iterating your design, and documenting finished design in a way that works for engineers and stakeholders alike.
Hybrid Retrieval Mechanisms in Vehicle-Based P2P Networks
Authors: Quanqing Xu, Heng Tao Shen, Zaiben Chen, Bin Cui, Xiaofang Zhou, Yafei Dai
Venue: Proceedings of the 9th International Conference on Computational Science: Part I (2009)

Mobile P2P networks have potential applications in many fields, making them a focus of current research. However, mobile P2P networks are subject to the limitations of transmission range, wireless bandwidth, and highly dynamic network topology, giving rise to many new challenges for efficient search. In this paper, we propose a hybrid search approach, which is automatic and economical in mobile P2P networks. The region covered by a mobile P2P network is partitioned into subregions, each of which can be identified by a unique ID and known to all peers. All the subregions then construct a mobile Kademlia (MKad) network. The proposed hybrid retrieval approach aims to utilize flooding-based and DHT-based schemes in MKad for indexing and searching according to designed utility functions. Our experiments show that the proposed approach is more accurate and efficient than existing methods. 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
Stability of Fuzzy Infinite-state Automaton
Authors: Qinge Wu, Tuo Wang, Yongxuan Huang, Jisheng Li
Venue: Proceeding of the 2006 conference on Advances in Intelligent IT: Active Media Technology 2006 (2006)

For better solving some complicated problems in fuzzy information processing, this paper presents a kind of new automaton--fuzzy infinite-state automaton. The extraction algorithm of fuzzy infinite-state automaton is given by using the neural networks. To the extracted fuzzy infinite-state automaton, its stability will be discussed. Finally, simulation is carried on and the simulation results show that the stability of fuzzy infinite-state automaton is achieved with extraction algorithm and training for weights what this paper provides. These problems to be solved will not only inject some new stronger powers into hierarchy of fuzzy automata, but also again increase a new tool for application of fuzzy signal processing. Finally, some problems of fuzzy automata and neural networks to be solved and development trends are discussed.
A Basic Parallel Process as a Parallel Pushdown Automaton
Authors: J. C. M. Baeten, P. J. L. Cuijpers, P. J. A. van Tilburg
Venue: Electronic Notes in Theoretical Computer Science (ENTCS) (2009)

We investigate the set of basic parallel processes, recursively defined by action prefix, interleaving, 0 and 1. Different from literature, we use the constants 0 and 1 standing for unsuccessful and successful termination in order to stay closer to the analogies in automata theory. We prove that any basic parallel process is rooted branching bisimulation equivalent to a regular process communicating with a bag (also called a parallel pushdown automaton) and therefore we can regard the bag as the prototypical basic parallel process. This result is closely related to the fact that any context-free process is either rooted branching bisimulation equivalent or contrasimulation equivalent to a regular process communicating with a stack, a result that is the analogy in process theory of the language theory result that any context-free language is the language of a pushdown automaton.
Ontology of Learning Object Content Structure
Authors: Jelena Jovanović, Dragan Gašević, Katrien Verbert, Erik Duval
Venue: Proceeding of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology (2005)

This paper proposes an ontology that enables a formal definition of Learning Object (LO) content structure. The ontology extends the Abstract Learning Object Content Model (ALOCoM) with concepts from information architectures. It defines a number of concepts that represent different types of content units and it specifies their structure. Formalising structural aspects of LOs, the ontology facilitates re-purposing of LOs at different levels of content granularity, i.e. LOs in their entirety and their components. Furthermore, being a generic LO content model, the ontology serves as an integration point of heterogeneous LO content models.
Classifiers of massive and structured data problems: algorithms and applications
Authors: David Madigan
Venue:  (2007)

The last two decades have seen the emergence of vast and unprecedented data repositories. Extraordinary opportunities now present themselves for new data analysis methods that can harness these repositories. As larger and larger amounts of widely varying types of data are constantly being collected and assimilated, the task of making use of such data opens up interesting and challenging avenues of research. This thesis deals with specific problems in data mining and machine learning in this setting. In particular we describe algorithms and applications for classification problems where computational restrictions become limiting (resource bounded algorithms and online/streaming algorithms) as well as models and algorithms for certain problems where the structure of the input is leveraged to provide not only accurate, but also interpretable classifiers.
Soft Error Rate Reduction Using Circuit Optimization and Transient Filter Insertion
Authors: Mihir R. Choudhury, Quming Zhou, Kartik Mohanram
Venue: Journal of Electronic Testing: Theory and Applications (2009)

This paper describes a tunable transient filter (TTF) design for soft error rate reduction in combinational logic circuits. TTFs can be inserted into combinational circuits to suppress propagated single-event transients (SETs) before they can be captured in latches or flip-flops. TTFs are tuned by adjusting the maximum width of the propagated SET that can be suppressed. A TTF requires 6–14 transistors, making it an attractive cost-effective option to reduce the soft error rate in combinational circuits. A global optimization approach based on geometric programming that integrates TTF insertion with dual-V DD and gate sizing is described. Simulation results for the 65 nm process technology indicate that a 17–48× reduction in the soft error rate can be achieved with this approach.
Designing 6DOF haptic transfer functions for effective exploration of 3D diffusion tensor fields
Authors: Yuta Ogawa, Issei Fujishiro, Yasuko Suzuki, Yuriko Takeshima
Venue: Proceedings of the World Haptics 2009 - Third Joint EuroHaptics conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems (2009)

Rapid dissemination of DT-MRI devices has recently evoked intensive research to come up with effective methods for grasping the structural features of acquired 3D diffusion tensor fields. In this paper, we further explore the potential of haptization in conjunction with visualization to represent different levels of information on the DT-MRI datasets. The main contribution of this paper is to propose a sophisticated method for utilizing diffusion-based tractography textures mapped on cross-sections to visualize local structures such as nerve tracts, together with appropriate 6DOF haptic transfer functions to haptize elementary diffusion properties. We illustrate the effectiveness of a prototype system featuring a PHANToM Premium 3.0 with an application to a practical DT-MRI human brain dataset.
MMOG based on MAS: the MMOG layer
Authors: G. Aranda, V. Botti, C. Carrascosa
Venue: Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2 (2009)

Massively Multiplayer Online Games present a new and exciting domain for service-oriented agent computing, Multi-Agent Systems, Agent Organizations and Electronic Institutions in order to face the challenges of designing a modern Massively Multiplayer On-line Game. This article follows previous pieces of work in the line of Multi-Agent Systems and Massively Multiplayer Online Games research being its main focus the so called MMOG Layer: a software layer which is independent of the environment simulation and the human-interface devices.
Spectral analysis and regeneration of the numerical signals
Authors: Gheorghe Oproescu
Venue: Proceedings of the 3rd WSEAS international symposium on Wavelets theory and applications in applied mathematics, signal processing & modern science (2009)

The signal processing denotes mostly spectral analysis and regeneration using the filtration of the different spectral components. In the last time we use increasingly the numerical processing on dedicated devices or universal calculators. In these cases the mostly usable algorithms are based on the property that values of the signals are discontinuous in the time and consist from discrete samples. In order to obtain correct results using classical formulas as Fourier's transform applied on discontinuous values we need besides known Shannon's theorem another elements, as well as a new theorem which will be presented in this work.
Modeling UML software design patterns using fundamental modeling concepts (FMC)
Authors: Anthony Spiteri Staines
Venue: Proceedings of the 2nd conference on European computing conference (2008)

Software design patterns mainly serve to design and develop software efficiently and effectively. Patterns are traditionally represented using UML notations and formal models. These are not always sufficient to analyze behavior. There are various problems related to visualization, abstracting, design to implementation mapping problems, etc. This paper promotes the use of Fundamental Modeling Concepts to support design patterns which offer better visualization and simplicity over the mainstream approaches. Some examples are presented.
When Cell Phones Become Computers
Venue: IEEE Pervasive Computing (2009)

One day your primary computer, the device you use for the majority of your work, will be mobile, easily fit in your pocket, and be completely integrated with your mobile phone. This is a vision held by a growing number of people in the computer industry, and as each new generation of mobile phone is released into the market, a more convincing case can be made.
“à la” in Education: Keywords Linking Method for Selecting Web Resources
Authors: Mirjana Andric, Vladan Devedzic, Wendy Hall, Leslie Carr
Venue: Proceeding of the 2005 conference on Artificial Intelligence in Education: Supporting Learning through Intelligent and Socially Informed Technology (2005)

The authors of the Web-based courseware typically face problems such as how to locate, select and semantically relate suitable learning resources. As the concept of the Semantic Web has not yet matured, the authors resort to a keyword-based search and bookmarking. This paper proposes a tool that supports the authors in their tasks of selection and grouping the learning material. The “à la” (Associative Linking of Attributes) in Education, enhances the search engine results by extracting the attributes (keywords and document formats) from the text. The relationships between the attributes are established and visualised in a novel hypertext paradigm using the ZigZag principles. Browsing the related metadata provides a quick summary of the document that can help in faster determining its relevancy. Also, the proposed solution enables better understanding why some resources are grouped together as well as providing suggestions for the further search. The results of a user trial indicate high levels of user satisfaction and effectiveness.
Gradient descent with sparsification: an iterative algorithm for sparse recovery with restricted isometry property
Authors: Rahul Garg, Rohit Khandekar
Venue: Proceedings of the 26th Annual International Conference on Machine Learning (2009)

We present an algorithm for finding an s-sparse vector x that minimizes the square-error ∥y -- &Phi;x∥2 where &Phi; satisfies the restricted isometry property (RIP), with isometric constant &delta;2s < 1/3. Our algorithm, called GraDeS (Gradient Descent with Sparsification) iteratively updates x as: [EQUATION] where &gamma; > 1 and Hs sets all but s largest magnitude coordinates to zero. GraDeS converges to the correct solution in constant number of iterations. The condition &delta;2s < 1/3 is most general for which a near-linear time algorithm is known. In comparison, the best condition under which a polynomial-time algorithm is known, is &delta;2s < &radic;2 -- 1. Our Matlab implementation of GraDeS outperforms previously proposed algorithms like Subspace Pursuit, StOMP, OMP, and Lasso by an order of magnitude. Curiously, our experiments also uncovered cases where L1-regularized regression (Lasso) fails but GraDeS finds the correct solution.
Simple and powerful instrument model for the source separation of polyphonic music
Authors: Kristóf Aczél, István Vajk
Venue: WSEAS Transactions on Signal Processing (2009)

This article presents a new approach to sound source separation. The introduced algorithm is based on spectral modeling of real instruments. The separation of independent sources is carried out by dividing the energy of the mixture signal based on these instrument models. This way it is possible to regain some of the information that was lost when the independent sources were mixed together into a single signal. The paper presents the theory behind the proposed separation system, then focuses on the instrument model that is the basic element of the approach. Measurement results are given for polyphony levels from 2 to 10 demonstrating the separation quality, with special regard to the effect of prints on the result.
A Mechanism for On-line Advertisement Placement to Deter Click Fraud
Authors: Wei Zhou, Subhajyoti Bandyopadhyay, Hsing Cheng, Praveen Pathak
Venue: International Journal of Electronic Commerce (2008)

The principal-agent problem of the on-line advertising market is investigated with respect to the publisher, the coordinator, and the advertiser. The publisher-coordinator contract is a double-sided moral hazard problem; the coordinator-advertiser contract is a double moral hazard problem with the agent's effort observed. These findings are compared to the auction-based model, and the cause and conditions of click fraud under both models are explained. The discussion shows that an efficient market deters click fraud, but an auction-based market is unable to achieve full efficiency.
Modeling signal transduction involving G protein coupled receptors by genetic algorithm and nonlinear spatiotemporal analysis
Authors: Chontita Rattanakul, Meechoke Chudoung, Yongwimon Lenbury, Varanuj Chatsudthipong, Wannapong Triampo, Boriboon Novaprateep, Titiwat Sungkaworn
Venue: Proceedings of the 15th american conference on Applied mathematics (2009)

In this paper, modeling of the signal transduction process involving G proteins is done with the utilization of genetic algorithm and a weakly nonlinear analysis. Equations which govern the interaction between an inhibitor protein and the ligand-receptor complexes are written and fitted with experimental data of cAMP levels expressed at different elapsed times, in the case that the homogeneous distribution of ligand-receptor complexes is assumed over the surface membrane. The model is then modified to incorporate reaction-diffusion mechanisms whereby the ligand-receptor complexes and the inhibiting agents in the process may diffuse over the cell membrane. We investigate the formation of Turing-type patterns under certain conditions on the system parameters which characterize the formation of stationary symmetry breaking structures; stripes and hexagonal arrays of spots or nets over the cell membrane.
IT Governance based on Cobit 4.1 - A Management Guide, 3rd edition
Authors: Van Haren Publishing
Venue: Itsm Library (2007)

This IT Governance Management Guide is the result of a project that involved many experts from all over the world. It started out as a compact reference to one framework, but it grew into an original document on IT Governance. It is provided for two purposes. First, it is a quick-reference guide to IT governance for people that are not acquainted with this field of work. Second, it is a high-level introduction to ISACA's open standard COBIT 4.1 that will encourage further study. This guide follows the process structure of COBIT 4.1, but adds new information to the structure. This guide is aimed at business and IT (service) managers, consultants, auditors and anyone interested in learning more about the possible application of IT governance standards in the IT management domain. In addition, it provides students in IT and Business Administration with a compact reference to COBIT 4.1. 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
Evaluating the Perceived Effect of Software Engineering Practices in the Italian Industry
Authors: Evgenia Egorova, Marco Torchiano, Maurizio Morisio
Venue: Proceedings of the International Conference on Software Process: Trustworthy Software Development Processes (2009)

A common limitation of software engineering research consists in its detachment from the industrial practice. Researchers have analyzed several practices and identified their benefits oand drawbacks but little is known about their dissemination in the industry. For a set of commonly studied practices, this paper investigates diffusion, perceived usefulness, and effect on the success for actual industrial projects. We found a match between academia recommendation and industry perception for more than 3 / 4 of the best practices. But we also found a few misperceptions of well-known practices.