ppxscal/embedding_network huggingface dataset:
GASpeech: A Framework for Automatically Estimating Input Parameters of Klatt's Speech Synthesizer
Authors: José Borges, Igor Couto, Fabíola Oliveira, Tales Imbiriba, Aldebaro Klautau
Venue: Proceedings of the 2008 10th Brazilian Symposium on Neural Networks (2008)

This work describes GASpeech: a framework centered on genetic algorithms for automatically estimating the input parameters of Klatt's speech synthesizer. GASpeech aims to speed up the process of speech imitation (or utterance copy), where one has to find the model parameters that lead to a synthesized speech sounding close enough to the natural target speech (i.e. low spectral distortion). The architecture of GASpeech is described, emphasizing the usage of adaptive control of probabilities and stopping criteria speeding up the convergence process. Though this paper does not present a closed solution for all Klatt's parameters, an enormous improvement in accuracy and methodology was reached when compared to previous works.
Automatic Identification of Axis Orbit Based on Normalized Pattern Spectrum
Authors: Yong Lin, Xiaojun Zhou, Wenbin Zhang, Xianyong Yang
Venue: Proceedings of the 2008 Congress on Image and Signal Processing, Vol. 4 - Volume 04 (2008)

This paper reports the results of a study of normalized pattern spectrum and its application on automatic identification of axis orbit. The normalized pattern spectrum is defined by morphological openings and closings. The comparability of two kinds of pattern spectrum is measured by a similarity coefficient. Through computing similarity coefficient, the pattern identification is accomplished. Analysis results show that normalized pattern spectrum has distinct advantages: no sensitive to image locality, image reversal, image scale. Shape representation of axis orbit is one of the most important methods on fault diagnosis of rotating machine. It is verified that axis orbits, with certain morphological processing before computing the normalized pattern spectrum, can be recognized effectively.
Phase-Type Approximations for Message Transmission Times in Web Services Reliable Messaging
Authors: Philipp Reinecke, Katinka Wolter
Venue: Proceedings of the SPEC international workshop on Performance Evaluation: Metrics, Models and Benchmarks (2008)

Web-Services based Service-Oriented Architectures (SOAs) become ever more important. The Web Services Reliable Messaging standard (WSRM) provides a reliable messaging layer to these systems. In this work we present parameters for acyclic continuous phase-type (ACPH) approximations for message transmission times in a WSRM implementation confronted with several different levels of IP packet loss. These parameters illustrate how large data sets may be represented by just a few parameters. The ACPH approximations presented here can be used for the stochastic modelling of SOA systems. We demonstrate application of the models using an M/PH/1 queue.
Explore Residue Significance in Peptide Classification
Authors: Zheng Rong Yang
Venue: Proceedings of the 3rd international workshop on Hybrid Artificial Intelligence Systems (2008)

Although peptide classification has been studied for a few decades, a proper method for studying residue significance has not yet been paid much attention. This paper introduces a novel neural learning algorithm which can be used to reveal residue significance for discriminating between functional and non-functional peptides and for peptide conformation pattern analysis. The algorithm is a revised bio-basis function neural network which was introduced a few years ago.
User Testing: How to Involve Users in Technical Web Development Cycles as a Natural Evolution in the Creation of Inclusive Technologies and Accessible Content
Authors: Joshue O. Connor
Venue: Proceedings of the 11th international conference on Computers Helping People with Special Needs (2008)

The web is constantly evolving and as it does web designers and developers need a way of being able to interact with people with disabilities and users of AT and observe them interacting with their web interfaces. User testing is an excellent bridge between developers and users of AT but this paper asks if user testing is currently an elitist exercise undertaken by developers who are already well disposed towards best practice and how this can be changed.
Speculative Inlining of Predefined Procedures in an R5RS Scheme to C Compiler
Authors: Marc Feeley
Venue: Implementation and Application of Functional Languages: 19th International Workshop, IFL 2007, Freiburg, Germany, September 27-29, 2007. Revised Selected Papers (2008)

The semantics of some dynamic programming languages, including Python, JavaScript, and R5RS Scheme, make it hard for a compiler to inline predefined procedures without compromising the semantics of the language. In the case of Scheme, many existing compilers can only achieve good execution speed by assuming that variables bound to predefined procedures are never mutated. This paper presents a speculative inlining approach which is portable and achieves good performance while fully conforming to the semantics of Scheme. It has been implemented in a mature Scheme to C compiler and we report on its performance on a large benchmark suite, both in execution speed and code size.
Control of real-time multimedia applications in best-effort networks
Authors: A. Parlos
Venue:  (2006)

The increasing demand for real-time multimedia applications and the lack of quality of service (QoS) support in public best-effort or Internet Protocol (IP) networks has prompted many researchers to propose improvements on the QoS of such networks. This research aims to improve the QoS of real-time multimedia applications in public best-effort networks, without modifying the core network infrastructure or the existing codecs of the original media applications. A source buffering control is studied based on a fluid model developed for a single flow transported over a best-effort network while allowing for flow reversal. It is shown that this control is effective for QoS improvement only when there is sufficient flow reversal or packet reordering in the network. An alternate control strategy based on predictive multi-path switching is studied where only two paths are considered as alternate options. Initially, an emulation study is performed, exploring the impact of path loss rate and traffic delay signal frequency content on the proposed control. The study reveals that this control strategy provides the best QoS improvement when the average comprehensive loss rates of the two paths involved are between 5% and 15%, and when the delay signal frequency content is around 0.5 Hz. Linear and nonlinear predictors are developed using actual network data for use in predictive multi-path switching control. The control results show that predictive path switching is better than no path switching, yet no one predictor developed is best for all cases studied. A voting based control strategy is proposed to overcome this problem. The results show that the voting based control strategy results in better performance for all cases studied. An actual voice quality test is performed, proving that predictive path switching is better than no path switching. Despite the improvements obtained, predictive path switching control has some scalability problems and other shortcomings that require further investigation. If there are more paths available to choose from, the increasing overhead in probing traffic might become unacceptable. Further, if most of the VoIP flows on the Internet use this control strategy, then the conclusions of this research might be different, requiring modifications to the proposed approach. Further studies on these problems are needed.
Multi-period portfolio optimization with linear control policies
Authors: Giuseppe Carlo Calafiore
Venue: Automatica (Journal of IFAC) (2008)

This paper is concerned with multi-period sequential decision problems for financial asset allocation. A model is proposed in which periodic optimal portfolio adjustments are determined with the objective of minimizing a cumulative risk measure over the investment horizon, while satisfying portfolio diversity constraints at each period and achieving or exceeding a desired terminal expected wealth target. The proposed solution approach is based on a specific affine parameterization of the recourse policy, which allows us to obtain a sub-optimal but exact and explicit problem formulation in terms of a convex quadratic program. In contrast to the mainstream stochastic programming approach to multi-period optimization, which has the drawback of being computationally intractable, the proposed setup leads to optimization problems that can be solved efficiently with currently available convex quadratic programming solvers, enabling the user to effectively attack multi-stage decision problems with many securities and periods.
Self-reconfiguration in Highly Available Pervasive Computing Systems
Authors: Hadi Hemmati, Rasool Jalili
Venue: Proceedings of the 5th international conference on Autonomic and Trusted Computing (2008)

High availability of software systems is an essential requirement for pervasive computing environments. In such systems self-adaptation, using dynamic reconfiguration is also a key feature. However, dynamic reconfiguration potentially decreases the system availability by making parts of the system temporary frozen, especially during incomplete or faulty execution of the reconfiguration process. In this paper, we propose Assured Dynamic Reconfiguration Framework (ADRF), consisting of run-time analysis phases, assuring the desired correctness and completeness of dynamic reconfiguration process. We also specify factors that affect availability of reconfigurable software in pervasive computing systems. Observing the effects of these factors, we present availability improvement of our method in comparison to the other reconfiguration mechanisms.
RIKI: A Wiki-Based Knowledge Sharing System for Collaborative Research Projects
Authors: Sang Keun Rhee, Jihye Lee, Myon-Woong Park
Venue: Proceedings of the 8th Asia-Pacific conference on Computer-Human Interaction (2008)

During a collaborative research project, each member's knowledge and progress need to be managed and shared with other members. For effective knowledge sharing, each member needs to be able to express their own knowledge within the given project context and easily find and understand other members' knowledge. In this paper, we present our RIKI prototype that supports group communication and knowledge sharing in research projects via the Wiki-based platform. The main aim of RIKI implementation is to manage the shared knowledge semantically and to provide users with straightforward access to necessary information.
Virtual Unification of the Earliest Christian Bible: Digitisation, Transcription, Translation and Physical Description of the Codex Sinaiticus
Authors: Zeki Mustafa Dogan, Alfred Scharsky
Venue: Proceedings of the 12th European conference on Research and Advanced Technology for Digital Libraries (2008)

This paper describes the deployment of innovative digitisation methods and new web technologies to reunify the oldest Bible --- the Codex Sinaiticus --- and to make it available to wider public. The conception of the website development has begun in late 2006 and the first stage of the development will allow free access to the website of this eminent part of the cultural heritage in 2008, which only has been possible through the close collaboration between international partners.
Confluence Operators
Authors: Sébastien Konieczny, Ramón Pino Pérez
Venue: Proceedings of the 11th European conference on Logics in Artificial Intelligence (2008)

In the logic based framework of knowledge representation and reasoning many operators have been defined in order to capture different kinds of change: revision, update, merging and many others. There are close links between revision, update, and merging. Merging operators can be considered as extensions of revision operators to multiple belief bases. And update operators can be considered as pointwise revision, looking at each model of the base, instead of taking the base as a whole. Thus, a natural question is the following one: Are there natural operators that are pointwise merging, just as update are pointwise revision? The goal of this work is to give a positive answer to this question. In order to do that, we introduce a new class of operators: the confluence operators. These new operators can be useful in modelling negotiation processes.
MobiSoft: Networked Personal Assistants for Mobile Users in Everyday Life
Authors: Christian Erfurth, Steffen Kern, Wilhelm Rossak, Peter Braun, Antje Leßmann
Venue: Proceedings of the 12th international workshop on Cooperative Information Agents XII (2008)

This paper provides an overview of the MobiSoft project, it's ideas and aims as well as the achieved results. In MobiSoft, we applied mobile software agents to support humans in their mobile everyday life. We developed a generic application framework that can be customized to fit into completely different scenarios ranging from industry use cases to social human interactions during leisure time. We describe this framework as well as several prototypes that demonstrate its general applicability. This paper also delivers first results of a survey at the university campus, that tried to capture user interest in personal assistants and mobile applications in general.
Applications of Virtual Reality in Design and Simulation of Holonic Manufacturing Systems: A Demonstration in Die-Casting Industry
Authors: Mert Bal, Majid Hashemipour
Venue: Proceedings of the 3rd international conference on Industrial Applications of Holonic and Multi-Agent Systems: Holonic and Multi-Agent Systems for Manufacturing (2007)

This paper presents the concepts and the techniques of implementation of Virtual Reality (VR) - based simulations into the design of the Holonic Manufacturing Systems. An integrated methodology is presented, which has been developed for modelling and simulations of a manufacturing system with holonic control with the aid of VR. The main focus is given to the implementation in small and medium size enterprises (SMEs) using limited expertise and minimum costs. To demonstrate the effectiveness of the presented method, an application in a medium-sized die-casting factory is presented.The overall performance of the factory has been tested for implementation of a robot-arm integrated die casting cell with holonic control architecture. In this regard, the best course of action for enterprise's investment decisions has been investigated with the least disruption to existing production activities.
An Improved Face Recognition Method Based on Filled Function
Authors: Sheng-Gang Wang, Ying-Tao Xu, Bo Zhu
Venue: Proceedings of the 2008 Second International Conference on Genetic and Evolutionary Computing (2008)

3D data registration and classifier are two important components in face recognition system. Aiming at the handicaps in current methods such as slow convergence or easiness of getting into local optimization, this paper works out a novel face recognition method combining filled function method, which can find a lower local minimizer by leaving the local minimizer previously found. By repeating these processes, a global minimizer can be obtained at last. Then it works out an improved ICP 3D data registration algorithm and an improved BP neural network classifier. Experiments show that this face recognition method decreases the amount of calculation, improves the accuracy of recognition precision and has an actual recognition effect.
A Lightweight Concurrent Fault Detection Scheme for the AES S-Boxes Using Normal Basis
Authors: Mehran Mozaffari-Kermani, Arash Reyhani-Masoleh
Venue: Proceeding sof the 10th international workshop on Cryptographic Hardware and Embedded Systems (2008)

The use of an appropriate fault detection scheme for hardware implementation of the Advanced Encryption Standard (AES) makes the standard robust to the internal defects and fault attacks. To minimize the overhead cost of the fault detection AES structure, we present a lightweight concurrent fault detection scheme for the composite field realization of the S-box using normal basis. The structure of the S-box is divided into blocks and the predicted parities of these blocks are obtained. Through an exhaustive search among all available composite fields and transformation matrices that map the polynomial basis representation in binary field to the normal basis representation in composite field, we have found the optimum solution for the least overhead S-box and its parity predictions. Finally, using FPGA implementations, the complexities of the proposed schemes are compared to those of the previously reported ones. It is shown that the FPGA implementations of the S-box using normal basis representation in composite fields outperform the traditional ones using polynomial basis for both with and without fault detection capability.
Algorithms for Inference, Analysis and Control of Boolean Networks
Authors: Tatsuya Akutsu, Morihiro Hayashida, Takeyuki Tamura
Venue: Proceedings of the 3rd international conference on Algebraic Biology (2008)

Boolean networks (BNs) are known as a mathematical model of genetic networks. In this paper, we overview algorithmic aspects of inference, analysis and control of BNs while focusing on the authors' works. For inference of BN, we review results on the sample complexity required to uniquely identify a BN. For analysis of BN, we review efficient algorithms for identifying singleton attractors. For control of BN, we review NP-hardness results and dynamic programming algorithms for general and special cases.
A Symbolic Pattern Classifier for Interval Data Based on Binary Probit Analysis
Authors: Renata M. Souza, Francisco José Cysneiros, Diego C. Queiroz, Roberta A. A. Fagundes
Venue: Proceedings of the 31st annual German conference on Advances in Artificial Intelligence (2008)

This paper introduces a classifier for interval symbolic data based on the probit regression model. Each example of the learning set is described by a feature vector, for which each feature value is an interval. Two versions of this classifier are considered. First fits the classic probit regression model conjointly on the lower and upper bounds of the interval values assumed by the variables in the learning set. Second fits the classic probit model separately on the lower and upper bounds of the intervals. The prediction of the class for new examples is accomplished from the computation of the posterior probabilities of the classes. To show the usefulness of this method, examples with synthetic symbolic data sets with overlapping classes are considered. The assessment of the proposed classification method is based on the estimation of the average behaviour of the error rate in the framework of the Monte Carlo method.
Reliable results for the Isotropic Dipole - Dipole and Triple - Dipole Dispersion Energy Coefficients for Interactions involving Formaldehyde, Acetaldehyde, Acetone, and Mono - , Di - , and Tri - Methylamine
Authors: Ashok Kumar, William J. Meath
Venue: Journal of Computational Methods in Sciences and Engineering (2004)

Pseudo - spectral dipole oscillator strengths and excitation energies, which are discrete representations of previously developed recommended continuous dipole oscillator strength distributions(DOSDs), are presented for the ground state formaldehyde, acetaldehyde, acetone, and mono - , di - , and tri - methylamine molecules. These pseudo - DOSDs, together with previously published pseudo - DOSDs for other atoms and molecules, are used to evaluate the dipole - dipole and the triple - dipole dispersion energy coefficients for all the two - body and three - body interactions between H$_2$CO, CH$_3$CHO, (CH$_3$)$_2$CO, CH$_3$NH$_2$, (CH$_3$)$_2$ NH, and (CH$_3$)$_3$N, and between these molecules and forty - four other species, namely Cl$_2$, SiH$_4$, SiF$_4$, CCl$_4$, H, Li, He, Ne, Ar, Kr, Xe, SF6, HF, HCl, HBr, SO$_2$, CS$_2$, OCS, H$_2$, N$_2$, O$_2$, NO, N$_2$O, H$_2$O, H$_2$S, NH$_3$, CO, CO$_2$, the normal alkanes CH$_4$, C$_2$H$_6$, C$_3$H$_8$, C$_4$H$_{10}$, C$_5$H$_{12}$, C$_6$H$_{14}$, C$_7$H$_{16}$ and C$_8$H$_{18}$, the 1-alkenes C$_2$H$_4$, C$_3$H$_6$ and C$_4$H$_8$, C$_2$H$_2$, C$_6$H$_6$, and the primary alcohols CH$_3$OH, C$_2$H$_5$OH and C$_3$H$_7$OH. Results are presented explicitly for all the dipole - dipole dispersion energy coefficients and for the triple - dipole coefficients for all three -body interactions involving the H$_2$CO, CH$_3$CHO, (CH$_3$)$_2$CO, CH$_3$NH$_2$, (CH$_3$)$_2$ NH, and (CH$_3$)$_3$N molecules. The estimated errors in the two - body and three - coefficients are 1% and 1-2%
Abstract for NIST PRISMA enhancement
Authors: John M. Abeles
Venue: Proceedings of the 4th annual workshop on Cyber security and information intelligence research: developing strategies to meet the cyber security and information intelligence challenges ahead (2008)

Program Review for Information Security Management Assistance (PRISMA) is a NIST cyber security maturity model that stemmed from the National Institute of Standards and Technology (NIST's) Computer Security Expert Assist Team. Both these concepts were based on a holistic analysis of a cyber security program and portray the results in NIST five-level security maturity model of policy, procedures, implementation, testing, and integration. PRISMA incorporated the 17 management, operational, and technical control families from NIST SP 800-53 as well as FIPS 199 and 200, and other topics such as critical infrastructure protection into 9 topical areas. System 1 was one of the principle authors of the concept, piloted implementation, and was key to the development of NISTIR-7358 and the accompanying PRISMA database. The objectives of PRISMA include: &bull; Assisting organizations in improving security/protection of federal information and Information Technology (IT) systems &bull; Helping reduce disruption of critical federal operations and assets; &bull; Providing supporting information for the FISMA scorecard and report, &bull; Establishing a security program baseline to measure future improvement following key personnel or organizational changes
Using Enterprise Architecture Models for System Quality Analysis
Authors: Per Närman, Marten Schönherr, Pontus Johnson, Mathias Ekstedt, Moustafa Chenine
Venue: Proceedings of the 2008 12th International IEEE Enterprise Distributed Object Computing Conference (2008)

Enterprise Architecture is a model-based approach to business-oriented IT management. To promote good IT decision making, an Enterprise Architecture framework needs to explicate what kind of analyses it supports. Since creating Enterprise Architecture models is expensive and without intrinsic value, it is desirable to only create Enterprise Architecture models based on metamodels that support well-defined analyses. This paper presents the content and extension of a metamodel which supports creating models containing the information necessary to conduct system quality analyses, specifically with respect to availability, accuracy, confidentiality and integrity. The metamodel is an extension and formalization of the metamodel underlying the ArchiMate modelling language for Enterprise Architecture. The use of the extended metamodel is demonstrated in a case study where the availability, accuracy, confidentiality and integrity of the two Service Oriented Architecture (SOA) platforms Sun JCaps and PrOSeRO were evaluated.