ppxscal/embedding_network huggingface dataset:
Zero-knowledge watermark detector robust to sensitivity attacks
Authors: Juan Ramón Troncoso-Pastoriza, Fernando Pérez-González
Venue: Proceedings of the 8th workshop on Multimedia and security (2006)

Current zero-knowledge watermark detectors are based on a linear correlation between the asset features and a given secret sequence.This detection function is susceptible of being attacked by sensitivity attacks,for which zero-knowledge does not provide protection.In this paper a new zero-knowledge watermark detector robust to sensitivity attacks is presented,using the Generalized Gaussian Maximum Likelihood (ML)detector as basis.The inherent robustness that this detector presents against sensitivity attacks,together with the security provided by the zero-knowledge protocol that conceals the keys that could be used to remove the watermark or to produce forged assets,results in a robust and secure protocol.Additionally,two new zero-knowledge proofs for modulus and square root calculation are presented;they serve as building blocks for the zero-knowledge implementation of the Generalized Gaussian ML detector,and also open new possibilities in the design of high level protocols.
Simulation of multiple-gate quantum stub transistor
Authors: Edval J. P. Santos, Alexandre B. Guerra
Venue: Microelectronic Engineering (2005)

The quantum stub transistor has the potential for ultrafast, ultra low power signal processing in high density integrated circuits. However, the single gate stub transistor presents the shortcoming of requiring highly precise gate voltage to close the channel. By using a tight-binding model, we have shown that the multiple gate configuration can be used to reduce this problem. Besides, stubbed waveguides are known to develop a band structure, we propose that a stubbed wire with spin-orbit coupling (Rashba effect) could be used for spin polarized transport. This is an interesting feature, which can be used for spintronics devices. We also discuss how the Rashba effect is incorporated in our simulation program.
Workload Models for Autonomic Database Management Systems
Authors: Pat Martin, Said Elnaffar, Ted Wasserman
Venue: Proceedings of the International Conference on Autonomic and Autonomous Systems (2006)

Autonomic computing is a promising approach to the problem of effectively managing large complex software systems such as database management systems (DBMSs). In order to be self-managing, an autonomic DBMS (ADBMS) must understand key aspects of its workload, including composition, frequency patterns, intensity and resource requirements. It must therefore use and maintain different characterizations, or models, of the workload to support its various kinds of decision-making. Our research into various aspects of ADBMSs has led us to develop a number of different workload models. In this paper, we examine the importance of workload models to ADBMSs. We discuss the types of workload models needed by ADBMSs and describe examples from our research. We then outline the requirements for an infrastructure to develop and maintain the workload models needed by an ADBMS.
Choosing a GUI library for your embedded device
Authors: Martin Hansen
Venue: Linux Journal (2007)

GUI design with QTopia and Nano-X.
Statistical Association Rules and Relevance Feedback: Powerful Allies to Improve the Retrieval of Medical Images
Authors: Marcela Xavier Ribeiro, Joselene Marques, Agma J. M. Traina, Caetano Traina Jr.
Venue: Proceedings of the 19th IEEE Symposium on Computer-Based Medical Systems (2006)

This work aims at developing an efficient support to improve the precision of medical image retrieval by content, introducing an approach that combines techniques of statistical association rule mining and relevance feedback. Low level features of shape and texture are extracted from images. Statistical association rules are used to select the most relevant features to discriminate the images, reducing the size of the feature vectors and eliminating noisy features that influence negatively the query results, making the whole process more efficient. Additionally, our approach uses a new relevance feedback technique to overcome the semantic gap that exists between low level features and the high level user interpretation of images. Experiments show that the combination of statistical association rule mining and the relevance feedback technique proposed here improve the precision of the query results up to 100%.
Worqbench: An Integrated Framework for e-Science Application Development
Authors: Donny Kurniawan, David Abramson
Venue: Proceedings of the Second IEEE International Conference on e-Science and Grid Computing (2006)

With the proliferation of Grid computing, potentially vast computational resources are available for solving complex problems in science and engineering. However, writing, deploying, and testing e-Science applications over highly heterogeneous and distributed infrastructure are complex and error prone. Further complicating matters, programmers may need to target a variety of different Grid middleware packages. This paper presents the design and implementation of Worqbench, an integrated, modular and middleware neutral framework for e- Science application development on the Grid. Worqbench can be incorporated into a number of existing Integrated Development Environments, further leveraging the advantages of such systems. We illustrate one such implementation in the Eclipse environment.
Optimization of traffic signal light timing using simulation
Authors: Kasun N. Hewage, Janaka Y. Ruwanpura
Venue: Proceedings of the 36th conference on Winter simulation (2004)

Traffic congestion is one of the worst problems in many countries. Traffic congestion wastes a huge portion of the national income for fuel and traffic-related environmental and socioeconomic problems. Computer simulation is a powerful tool for analyzing complex and dynamic scenarios. It provides an appealing approach to analyze repetitive processes. Simulation helps decision makers identify different possible options by analyzing enormous amounts of data. Hence, computer simulation can be used effectively to analyze traffic flow patterns and signal light timing. This paper discusses a special-purpose simulation (SPS) tool for optimize traffic signal light timing. The simulation model is capable of optimizing signal light timing at a single junction as well as an actual road network with multiple junctions. It also provides signal light timing for certain time periods according to traffic demand. Traffic engineers at the University of Moratuwa, Sri Lanka are testing the developed tool for actual applications.
Comparison of Hanson Intervallic Representations for Music Information Retrieval
Authors: Johnny F. Serrano, Jose M. Inesta
Venue: Proceedings of the 15th International Conference on Computing (2006)

The melodic similarity is an important concept to consider in music information retrieval. Among the possible applications a number of content-based systems may be developed for copyright management, plagiarism detection, computer-aided composition, etc., and the intervallic analysis is an essential tool for these applications. There exist several techniques exposed in melodic similarity that use diverse statistical and probabilistic analysis. The objective in this work is to establish a text words equivalent to musical notation using three representations based on simple intervallic relationships, rhythmics and durations, and to evaluate a textual information retrieval technique applied to these representations, as well as to propose changes to improve the system precision and recall.
Panel Summaries: Real-Time Volume Diagnostics--Requirements and Challenges
Authors: Ajay Khoche
Venue: IEEE Design Test (2006)

A report on the IEEE VLSI Test Symposium (VTS 06) panel on "Real-time volume diagnostics: requirements and challenges.
Nonlinear thermoelastic stability characteristics of cross-ply laminated oval cylindrical/conical shells
Authors: B. P. Patel, K. K. Shukla, Y. Nath
Venue: Finite Elements in Analysis and Design (2006)

In this work, the thermoelastic stability characteristics of the cross-ply laminated oval cylindrical/conical shells subjected to uniform temperature rise are studied through nonlinear static analysis employing the finite element approach. Geometric nonlinearity is introduced in the formulation considering moderately large deformation effects. The study is carried out to highlight the influences of the noncircularity parameter, number of layers, material properties and semi-cone angle on the nonlinear thermoelastic response/stability characteristics of the laminated oval cylindrical/conical shells. It is brought out from the detailed studies that the circular shells exhibit distinct bifurcation point but the noncircular shells reveal smooth transition from the prebuckling to the postbuckling equilibrium path. The moderately noncircular shell response is found to be sensitive to the type of initial perturbation and the semi-cone angle whereas the highly noncircular shells are insensitive to the presence of small perturbation. It is also brought out that the linear eigenvalue buckling analysis approach may not be appropriate for the estimation of the critical temperature parameter of the highly noncircular shells.
Structuring Short-Term Organizational Memories by Argumentation Based Transient-Scenarios
Authors: Dino Borri, Adele Celino, Grazia Concilio, Anna De Liddo
Venue: Proceedings of the 17th International Conference on Database and Expert Systems Applications (2006)

The paper presents some preliminary results developed throughout a research work aiming at capturing and making available short-term organizational memory in order to support specific decision making processes. It introduces, with regard to the environmental planning domain, a conceptual model describing the production and use of both short and long term organizational memories referring to organizations emerging when developing spatial plans environmentally oriented. In particular the paper focuses on the role of argumentation in explaining modification along time of the short-term memory, or working memory, from one transient-scenario to the subsequent and presents the attempt made to use argumentative-maps as means to partially explain the evolution of the process-scenario.
Requirements Definition of Safe Software Using the Behavioral Patterns Analysis (PBA) Approach: The Railroad Crossing System
Authors: Assem El-Ansary
Venue: Proceedings of the International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (2006)

This paper is concerned with a new event-oriented approach named the Behavioral Pattern Analysis Approach (BPA). In BPA, events are considered the primary objects of the world model. BPA is a more effective alternative to use cases in modeling and understanding the functional requirements. The Event defined in BPA is a real-life conceptual entity that is unrelated to any implementation. The BPA Behavioral Patterns are temporally ordered according to the sequence of the real world events.
A Study of Performance Improvement for Video Retrieval System Based on Relevance Feedback
Authors: Yasuhiko Fujisaki, Takamichi Miyata, Aki Kobayashi, Katsunori Yamaoka, Yoshinori Sakai, Yasuhiro Inazumi
Venue: Proceedings of the 21st International Conference on Data Engineering Workshops (2005)

Recently, an effective retrieval system for video data based on its content is required. In such system, queries are given by natural video data or drawing sketches. However, preparing natural video data and drawing sketches require high operating costs for users. Therefore, we proposed novel method that uses "Relevance Feedback(RF)" for creating query. RF is an approach that is used in general information retrieval. RF allows us to give a query to the system by simple operation. Then, we performed an experiment to retrieve video data by using the system that uses the method. The experimental results lead us to conclude that the system is effective at reducing a user's operating costs. Furthermore, we show the future direction for research.
A kanban module for simulating pull production in ARENA
Authors: Mark A. Treadwell, Jeffrey W. Herrmann
Venue: Proceedings of the 37th conference on Winter simulation (2005)

In the short timeline of rapid improvement events (kaizen events), it is difficult to use the full power of simulation because of the time required to construct models, particularly if the system uses pull production control methods such as kanbans. This paper describes multiple ways to model pull production control and compares them on measures related to model construction and execution. A kanban workstation module significantly reduces the time required to develop a pull production model, which makes simulation more useful as a decision-making tool in rapid improvement events.
A Neural Network-Based Novelty Detector for Image Sequence Analysis
Authors: Markos Markou, Sameer Singh
Venue: IEEE Transactions on Pattern Analysis and Machine Intelligence (2006)

This paper proposes a new model of "novelty detection” for image sequence analysis using neural networks. This model uses the concept of artificially generated negative data to form closed decision boundaries using a multilayer perceptron. The neural network output is novelty filtered by thresholding the output of multiple networks (one per known class) to which the sample is input and clustered for determining which clusters represent novel classes. After labeling these novel clusters, new networks are trained on this data. We perform experiments with video-based image sequence data containing a number of novel classes. The performance of the novelty filter is evaluated using two performance metrics and we compare our proposed model on the basis of these with five baseline novelty detectors. We also discuss the results of retraining each model after novelty detection. On the basis of Chi-square performance metric, we prove at 5 percent significance level that our optimized novelty detector performs at the same level as an ideal novelty detector that does not make any mistakes.
Localization in a QFT Model
Authors: Fabrizio Buscemi, Giuseppe Compagno
Venue: Open Systems Information Dynamics (2006)

Localization properties of a QFT model, consisting of a quantum scalar field interacting linearly with a classical localized source, are investigated using various approaches present in the literature. We evaluate, to any order of the field ---matter coupling constant, the time evolution of average values of one-point localization observables and scalar product between the quantum field state of the evolving system and localized states. We show that the appearance of nonlocality can be connected to nonlocal properties of localized states used or to the fact that localization operators do not satisfy the microcausality principle and therefore does not imply the violation of causality.
Learning Rules to Pre-process Web Data for Automatic Integration
Authors: Kai Simon, Thomas Hornung, Georg Lausen
Venue: Proceedings of the Second International Conference on Rules and Rule Markup Languages for the Semantic Web (2006)

Web pages such as product catalogues and web sites resulting from querying a search engine often follow a global layout template which facilitates the retrieval of information for a user. In this paper we present a technique which makes such content machine-processable by extracting and transforming it into tabular form. We achieve this goal via ViPER, our fully automatic wrapper system, while localizing and extracting structured data records from suchlike web pages following a sophisticated strategy based on the visual perception of a web page. The first contribution of this paper is to give deep insight into the post-processing heuristics of ViPER, which become materialized by a set of rules. Once these rules are defined, the regular content of a web page can be abstracted into a relational view. Second, we show that new, unseen contents rendered with the same layout, only have to be extracted by ViPER, whereas the remaining transformation can be performed by applying the learned rules accordingly.
Soliciting Customer Requirements for Product Conceptualization Based on Laddering Technique and ART2 Neural Network
Authors: Wei Yan, Daofang Chang, Youfang Huang, Weijian Mi, Ning Zhao
Venue: Proceedings of the 2006 International Conference on Hybrid Information Technology - Volume 01 (2006)

With the increasing emphasis on customer demands by organizations, customer requirements management has secured a crucial position during the early stage of product conceptualization. However, it is still of scarcity to have a systematic strategy for soliciting customer requirements effectively. For this purpose, a customer-oriented approach has accordingly been proposed in this study. This prototype system is composed of two interrelated components, namely, the customer requirements elicitation (CRE) and customer/marketing analysis (CMA) modules. In the context of the prototype system, the laddering technique has been employed to enable the customer requirements elicitation via the so-called customer attributes hierarchy (CAH). In addition, the adaptive resonance theory (particularly ART2) neural network has also been applied as a toolkit for further customer and marketing analysis. A case study on mobile hand phone design is used as an example to validate and illustrate the prototype system.
A constructive methodology of Lyapunov function of composite systems with nonlinear interconnection term
Authors: M. Kidouche, A. Charef
Venue: International Journal of Robotics and Automation (2006)

For composite systems with a coarse decomposition it is usually more difficult to find a suitable Lyapunov function for the sub-systems that may no longer be of low order, and provides computational and analytical difficulties. In this paper, we present a constructive methodology of Lyapunov function in the case of coarse decomposition to analyze stability of the origin for a general class of nonlinear composite systems expressed in state variables as n first-order nonlinear differential equations. We need to find a storage function to be used as Lyapunov function. A family of this design can be constructed by recursive procedure of a different version of the same basic step: the augmentation by one equation at each step. The present results make use of graph-theoretic decomposition techniques in which the composite systems lead to a sequence of coarser subsystems. Finally, an example is given to illustrate the constructive methodology proposed.
Attention to 3-D Shape, 3-D Motion, and Texture in 3-D Structure from Motion Displays
Authors: Hendrik Peuskens, Kristl G. Claeys, James T. Todd, J. Farley Norman, Paul Van Hecke, Guy A. Orban
Venue: Journal of Cognitive Neuroscience (2004)

We used fMRI to directly compare the neural substrates of three-dimensional (3-D) shape and motion processing for realistic textured objects rotating in depth. Subjects made judgments about several different attributes of these objects, including 3-D shape, the 3-D motion, and the scale of surface texture. For all of these tasks, we equated visual input, motor output, and task difficulty, and we controlled for differ ences in spatial attention. Judgments about 3-D shape from motion involve both parietal and occipito-temporal regions. The processing of 3-D shape is associated with the analysis of 3-D motion in parietal regions and the analysis of surface texture in occipito-temporal regions, which is consistent with the different behavioral roles that are typically attributed to the dorsal and ventral processing streams.
Comparison of Computing Capability and Information System Abilities of State Hospitals Owned by Ministry of Labor and Social Security and Ministry of Health
Authors: Dilaver Tengilimoğlu, Yusuf Çelik, Mahir Ülgü
Venue: Journal of Medical Systems (2006)

The main purpose of this study is to give an idea to the readers about how big and important the computing and information problems that hospital managers as well as policy makers will face with after collecting the Ministry of Labor and Social Security (MoLSS) and Ministry of Health (MoH) hospitals under single structure in Turkey by comparing the current level of computing capability of hospitals owned by two ministries. The data used in this study were obtained from 729 hospitals that belong to both ministries by using a data collection tool.The results indicate that there have been considerable differences among the hospitals owned by the two ministries in terms of human resources and information systems. The hospital managers and decision makers making their decisions based on the data produced by current hospital information system (HIS) would more likely face very important difficulties after merging MoH and MoLSS hospitals in Turkey. It is also possible to claim that the level and adequacy of computing abilities and devices do not allow the managers of public hospitals to use computer technology effectively in their information management practices. Lack of technical information, undeveloped information culture, inappropriate management styles, and being inexperienced are the main reasons of why HIS does not run properly and effectively in Turkish hospitals.
The Phenix project: a case study of e-justice in Belgium
Authors: Bruno de Vuyst, Alea Fairchild
Venue: Proceedings of the 8th international conference on Electronic commerce: The new e-commerce: innovations for conquering current barriers, obstacles and limitations to conducting successful business on the internet (2006)

The Phenix project, launched in 2001, is the core part of a strategy to implement an e-justice system based on the concept of electronic files, using Open Source standards. It is expected that the project will enable the Belgian judiciary to be an e-justice system by 2008, and so create not only internal efficiencies, but more importantly even benefits to citizens in terms of lower cost and simpler, faster procedures. The project is compared with existing and emerging e-justice projects in other countries.
On the power of non-local boxes
Authors: Anne Broadbent, André Allan Méthot
Venue: Theoretical Computer Science (2006)

A non-local box is a virtual device that has the following property: given that Alice inputs a bit at her end of the device and that Bob does likewise, it produces two bits, one at Alice's end and one at Bob's end, such that the XOR of the outputs is equal to the AND of the inputs. This box, inspired from the CHSH inequality, was first proposed by Popescu and Rohrlich to examine the question: given that a maximally entangled pair of qubits is non-local, why is it not maximally non-local? We believe that understanding the power of this box will yield insight into the non-locality of quantum mechanics. It was shown recently by Cerf, Gisin, Massar and Popescu, that this imaginary device is able to simulate correlations from any measurement on a singlet state. Here, we show that the non-local box can in fact do much more: through the simulation of the magic square pseudo-telepathy game and the Mermin-GHZ pseudo-telepathy game, we show that the non-local box can simulate quantum correlations that no entangled pair of qubits can, in a bipartite scenario and even in a multi-party scenario. Finally we show that a single non-local box cannot simulate all quantum correlations and propose a generalization for a multi-party non-local box. In particular, we show quantum correlations whose simulation requires an exponential amount of non-local boxes, in the number of maximally entangled qubit pairs.