ppxscal/embedding_network huggingface dataset:
Complex vs. Intensive in Parallel Computation
Authors: Michaela Malita, Gheorghe Stefan, Marius Stoian
Venue: Proceedings of the International Multi-Conference on Computing in the Global Information Technology (2006)

The paper analyzes two solutions (IP and MPLS) for interworking of network portions implementing different QoS technologies and belonging to diverse Autonomous Systems (ASes). While the implementation of QoS is a AS's concern, three topical problems should be solved at the interworking points (called Relay Points, RPs, in the paper): 1) the definition of the RP convergence technology, 2) the signalling between the RPs, 3) the bandwidth pipes dimensioning for flows traversing the heterogeneous network. The paper investigates these points and proposes a description of the Service Level Agreements available in the heterogeneous network as function of the RP protocol architecture. The RP stack proposed needs to interact with ASes QoS-solutions. It means that the RP QoS must be "mapped" on alternative technologies (DiffServ, IntServ, ATM and so on), implemented locally. This leads to the analysis of the traffic aggregation effect on the performance, e.g., if traffic requiring different performance is joined in one flow for technological reasons. The results reported, obtained through simulations, investigate this topic and allow providing operative solutions applicable in the field.
Impact of the Predicted Protein Structural Content on Prediction of Structural Classes for the Twilight Zone Proteins
Authors: Lukasz A. Kurgan, Mandana Rahbari, Leila Homaeian
Venue: Proceedings of the 5th International Conference on Machine Learning and Applications (2006)

This paper addresses in silico prediction of protein structural classes as defined in the SCOP database. The SCOP defines total of 11 classes, while majority of proteins are classified to the 4 classes: all-\alpha, all-\beta , \alpha/\beta , and \alpha+\beta . The main goals of this paper are to experimentally evaluate the impact of predicted protein secondary structure content on the structural class prediction and to develop a novel protein sequence representation. The experiments include application of three protein sequence representations and four classifiers to prediction of both 4 and 11 structural classes. The predictions are performed using a large dataset of low homology (twilight zone) sequences. The proposed sequence representation includes the predicted structural content, which provides the strongest contribution towards classification, composition and composition moment vectors, hydrophobic autocorrelations, chemical group composition and molecular weight of the protein. The predicted content values are shown on average to improve the prediction accuracy by 3.3% and 4.2% for the 4 and 11 classes, respectively, when compared to sequence representation that does not utilize this information. Finally, we propose a very compact, 20 dimensional sequence representation that is shown to improve the prediction accuracy by 5.1-8.5% when compared with recently published results.
An identification of pulse system dynamics on the basis of fractal regularity use
Authors: Y. V. Kolokolov, A. V. Monovskaya, K. H. Adjallah
Venue: Proceedings of the 2003 International Conference on Physics and Control - Volume 4 (2003)

This paper analyzes the on-line identification problem of the pulse energy conversion system dynamics. One of possible approaches to the problem solution on the dynamics fractal regularity use basis is proposed. The approach is applied to a buck voltage converter with pulse-width modulation of the second kind.
Polynomial interpolation and polynomial root finding on OTIS-mesh
Authors: Prasanta K. Jana
Venue: Parallel Computing (2006)

OTIS-mesh is an efficient model of optoelctronic parallel computers. In this paper, we develop several parallel algorithms for two important problems of numerical analysis, i.e., polynomial interpolation and polynomial root finding on this network. The algorithms are based on two schemes of data mapping namely, row-column mapping and group mapping in which the input data elements are arranged to store into row/column and group wise respectively by suitably exploiting the links of the network. We use Lagrange method for polynomial interpolation and Durand-Kerner method [T.L. Freeman, Calculating polynomial zeros on local memory parallel computer, Parallel Comput. 12 (1989) 351-358.] for polynomial root finding. The optimality/near optimality of the algorithms is shown to achieve with the assumption that the data elements are initially stored following the above mentioned mapping. The scalability of the algorithms is also studied.
Quantum processors and controllers
Authors: A. Yu. Vlasov
Venue: Proceedings of the 2003 International Conference on Physics and Control - Volume 3 (2003)

In this paper is presented in abstract theory of quantum processors and controllers, special kind of quantum computational network defined on a composite quantum system with two parts: the controlling and controlled subsystems. Such approach formally differs from consideration of quantum control as some external influence on a system using some set of Hamiltonians or quantum gates. The model of programmed quantum controllers discussed in present paper is based on theory of universal deterministic quantum processors (programmable gate arrays). Such quantum devices may simulate arbitrary evolution of quantum system and so demonstrate an example of universal quantum control. 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
Retaining Semantics in Relational Databases by Mapping them to RDF
Authors: Madhav Krishna
Venue: Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology (2006)

Across various domains, the relational model for databases is employed extensively for the purpose of storing, managing and retrieving data. The translation, however, of data modeling schemes such as entity-relationship (ER) diagrams into relational databases is accompanied by a certain loss of semantics as expressed by these models. With the growth of the semantic web, an effort has to be made in the direction of expressing these relational databases in a form and language that may be machine processable and such that they make the semantics as expressed by the database more explicit. This paper presents a methodology for expressing relational databases in the Resource Description Framework (RDF) language, which has even been referred to as the language of the Semantic Web.
Modeling context aware interaction for wayfinding using mobile devices
Authors: Chao Li, Katharine Willis
Venue: Proceedings of the 8th conference on Human-computer interaction with mobile devices and services (2006)

In this paper, we introduce and implement a model for context-aware interaction, and demonstrate its usefulness through an empirical study of interaction in a wayfinding task. Firstly, we outline the challenge of modeling context-awareness in dynamic interaction arising from wayfinding and navigation assistance applications. The conceptual model is developed and explained with emphasis on the context-aware interaction, and the three dynamic aspects in such interactions. Secondly, a wayfinding experiment is used to implement the conceptual model. We finish by concluding that the model proposed enables a dynamically inter-relational concept of context to be considered, and that the experiment described provides a valuable method for evaluating context-aware interaction in wayfinding.
Supporting science teacher thinking through curriculum materials
Authors: Rebecca Schneider
Venue: Proceedings of the 7th international conference on Learning sciences (2006)

Teachers need high quality materials to support their work with students and promote teacher learning from classrooms beyond what would normally be the case. Such teacher educative materials would be designed to explicitly enhance teacher thinking in relationship to students and science in classroom contexts. Designing materials specifically for teacher learning, however, is an intriguing yet largely untested idea. In this study, one 7th grade teacher used five inquiry science units with varying amounts and types of educative features over a two year period. Written pre and post lesson teacher reflections, informal interviews, and daily classroom videotape were collected. Analysis focused on aspects of inquiry teaching that are challenging for teachers to learn and illustrate pedagogical content knowledge. Comparisons overtime and between lessons with different types and amounts of educative support in the materials were made. Analysis identified characteristics of materials that guide teacher thinking and support inquiry science teaching.
Parallel and distributed simulation of wireless vehicular ad hoc networks
Authors: Luciano Bononi, Marco Di Felice, Marco Bertini, Emidio Croci
Venue: Proceedings of the 9th ACM international symposium on Modeling analysis and simulation of wireless and mobile systems (2006)

In this paper, we present a novel solution for the fine-grained parallel and distributed simulation of Vehicular ad hoc networks' (VANETs) services and applications, based on vehicular traffic mobility and wireless IEEE 802.11-standard models. A Mobile Wireless Vehicular Environment Simulation (MoVES) framework supports dynamic partition of geographic areas and dynamic entity mapping of the modeled scenarios over parallel and distributed simulation platforms. This could be a viable solution to enhance simulation performances and to exploit low-cost commercial-off-the-shelf (COTS) simulation architectures. Testbed performance evaluation for realistic modeled scenarios has shown the effectiveness of our approach in terms of simulation efficiency (speedup), and simulation accuracy, also providing guidelines for future enhancements of the framework performances, and model characterization of inter-vehicular communication.
Determined theories and limit laws
Authors: John T. Baldwin, Marco Mazzucco
Venue: Information and Computation (2006)

We provide a new model theoretic technique for proving 0-1 and convergence laws. As an application, we obtain a new (slightly less computational) proof of convergence laws due to Spencer and Thoma for the probability functions: pnl = In(n)/n + lċIn(In(n))/n + c/n
Integrating Processes of Logistics Outsourcing Risk Management in e-Business
Authors: Juan Xu, Zhixue Liu, Yan Li
Venue: Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology (2006)

Logistics outsourcing has been recognized to have important potential benefits, including reduced costs, improved quality, the ability to focus on core competencies and access to new technologies. Most prior studies have articulated the advantages of logistics outsourcing and paid little attention to the risks in e-business environments. The main purpose of this study is to present how the current logistics outsourcing risk management process can be integrated and improved through the use of new e-business applications.
The impact of survey data: Measuring success
Authors: Elizabeth C. Hamilton
Venue: Journal of the American Society for Information Science and Technology (2007)

Large national social surveys are expensive to conduct and to process into usable data files. The purpose of this article is to assess the impact of these national data sets on research using bibliometric measures. Peer-reviewed articles from research using numeric data files and documentation from the Canadian National Population Health Survey (NPHS) were searched in ISI's Web of Science and in Scopus for articles citing the original research. This article shows that articles using NPHS data files and products have been used by a diverse and global network of scholars, practitioners, methodologists, and policy makers. Shifts in electronic publishing and the emergence of new tools for citation analysis are changing the discovery process for published and unpublished work based on inputs to the research process. Evidence of use of large surveys throughout the knowledge transfer process can be critical in assessing grant and operating funding levels for research units, and in influencing design, methodology, and access channels in planning major surveys. The project has gathered citations from the peer-reviewed article stage of knowledge transfer, providing valuable evidence on the use of the data files and methodologies of the survey and of limitations of the survey. Further work can be done to expand the scope of material cited and analyze the data to understand how the longitudinal aspect of the survey contributes to the value of the research output. Building a case for continued funding of national, longitudinal surveys is a challenge. As far as I am aware, however, little use has been made of citation tracking to assess the long-term value of such surveys. Conducting citation analysis on research inputs (data file use and survey products) provides a tangible assessment of the value accrued from large-scale (and expensive) national surveys. &copy; 2007 Wiley Periodicals, Inc.
Standards Based Digital Rights Management--Potentially Viable or Just a Pipe Dream?
Authors: Huw Williams
Venue: Proceedings of the Second International Conference on Automated Production of Cross Media Content for Multi-Channel Distribution (2006)

Why is DRM important to the BBC? There are three simple reasons for this, each of which becomes even more important when we're talking about the digital world -- be it broadcasting or broadband. The first point is one of ownership. The rights structure of much of our content is incredibly complex. We quite often buy-in rights, for Sports or for feature films. Sometimes our production partners and talent retain certain rights when we commission a programme and quite often we only have rights to broadcast certain content a certain number of times. In addition to this, we might have co-production partners involved in a production which means that we share the rights of content, often based upon territories. The next point is legality. All of the above are usually legally enforced in the form of a contract.
Virtual environment training therapy for arm motor rehabilitation
Authors: Lamberto Piron, Paolo Tonin, Francesco Piccione, Vincenzo Iaia, Elena Trivello, Mauro Dam
Venue: Presence: Teleoperators and Virtual Environments (2005)

Enhanced feedback provided by a virtual reality system has been shown to promote motor learning in normal subjects. We evaluated whether this approach could be useful for treating patients with motor deficits following brain lesions. Fifty subjects with mild to intermediate arm impairments due to stroke were selected for the study. The patients received treatment daily for one month, consisting of an hour of virtual-environment therapy with enhanced feedback. Before and after the therapy, we assessed the degree of motor impairment and autonomy in daily living activities using the Fugl-Meyer scale for the upper extremities and Functional Independence Measure, respectively. We also analyzed the velocity, duration, and morphology of a sequence of reaching movements, finally comparing the kinematic measures with the scores obtained on the clinical scales. The rehabilitation therapy yielded significant improvements over baseline values in the mean scores on the Fugl-Meyer and Functional Independence Measure scales. The mean Fugl-Meyer score correlated significantly with the duration and velocity of reaching movements. The collated data indicate that motor recovery in post-stroke patients may be promoted by the enhanced feedback provided in a virtual environment and that kinematic analysis of their movements provides reliable measures of motor function changes in response to treatment.
Secure Data Aggregation in Wireless Sensor Networks: A Survey
Authors: Yingpeng Sang, Hong Shen, Yasushi Inoguchi, Yasuo Tan, Naixue Xiong
Venue: Proceedings of the Seventh International Conference on Parallel and Distributed Computing, Applications and Technologies (2006)

Data aggregation is a widely used technique in wireless sensor networks. The security issues, data confidentiality and integrity, in data aggregation become vital when the sensor network is deployed in a hostile environment. There has been many related work proposed to address these security issues. In this paper we survey these work and classify them into two cases: hop-by-hop encrypted data aggregation and end-to-end encrypted data aggregation. We also propose two general frameworks for the two cases respectively. The framework for end-to-end encrypted data aggregation has higher computation cost on the sensor nodes, but achieves stronger security, in comparison with the framework for hop-by-hop encrypted data aggregation.
Scientific Simulation Execution Support on a Closed Distributed Computer Environment
Authors: Hideaki Fuju, Shigeo Kawata, Hideaki Sugiura, Yuichi Saitoh, Yoshikazu Hayase, Hitohide Usami, Motohiro Yamada, Yutaka Miyahara, Hiroyuki Kanazawa, Takashi Kikuchi
Venue: Proceedings of the Second IEEE International Conference on e-Science and Grid Computing (2006)

It is difficult for users to submit jobs to distributed computers and to retrieve calculation data from them in scientific computings. In this paper, we discuss and develop a robust job execution service system in a closed distributed computer system. The job execution service system consists of a dynamic system management servers, execution servers and data servers. The dynamic system management server is duplicated in order to keep the system robust, and has an assistant management server. The dynamic system management server has a function of the job execution system management, including software deployment, program compilation, job execution, job status retrieval and computing data retrieval. This system does not require special middleware such as Globus or UNICORE or GLite or so. Users access the web page on the dynamic system management server, and the clients submit jobs. After the submitted job finishes, the dynamic system management server collects the information from other distributed computers. The dynamic management server and its assistant server move dynamically to new servers, if the present servers become busy. The dynamic system management server also demands the execution server to transfer the result data to the optimal data server. The dynamic system management server copies the computing data and sends the compressed computing data to another optimal data server in order for a robust data storage system. The clients can deploy their programs, execute jobs and retrieve the result data by accessing only the web page in the job execution service system. This job execution management server also has a function of automatic system construction, so that the users can manage the setup of the job execution management system easily on their closed distributed computers.
Evolutionary maximum entropy spectral analysis
Authors: S. I. Shah, L. F. Chaparro, A. S. Kayhan
Venue: Proceedings of the Acoustics, Speech, and Signal Processing,1994. on IEEE International Conference - Volume 04 (1994)

We extend maximum entropy (ME) spectral analysis to non-stationary signals using the theory of the Wold-Cramer evolutionary spectrum. The evolutionary maximum entropy (EME) problem reduces to the fitting of a time-varying autoregressive model to the Fourier coefficients of the evolutionary spectrum. The model parameters are efficiently found by means of the Levinson algorithm. In the non-stationary case it is not the autocorrelation function that provides the appropriate data for the EME analysis, but rather the Fourier coefficients of the evolutionary spectrum. An estimator of these coefficients is proposed. By means of examples we show the EME estimator provides higher frequency resolution and better sidelobe behavior than existing estimators of the evolutionary spectrum.
Genetic parallel programming: design and implementation
Authors: Sin Man Cheang, Kwong Sak Leung, Kin Hong Lee
Venue: Evolutionary Computation (2006)

This paper presents a novel Genetic Parallel Programming (GPP) paradigm for evolving parallel programs running on a Multi-Arithmetic-Logic-Unit (Multi-ALU) Processor (MAP). The MAP is a Multiple Instruction-streams, Multiple Data-streams (MIMD), general-purpose register machine that can be implemented on modern Very Large-Scale Integrated Circuits (VLSIs) in order to evaluate genetic programs at high speed. For human programmers, writing parallel programs is more difficult than writing sequential programs. However, experimental results show that GPP evolves parallel programs with less computational effort than that of their sequential counterparts. It creates a new approach to evolving a feasible problem solution in parallel program form and then serializes it into a sequential program if required. The effectiveness and efficiency of GPP are investigated using a suite of 14 well-studied benchmark problems. Experimental results show that GPP speeds up evolution substantially.
Fractional order electromagnetics
Authors: J. A. Tenreiro Machado, Isabel S. Jesus, Alexandra Galhano, J. Boaventura Cunha
Venue: Signal Processing (2006)

The Maxwell equations constitute a formalism for the development of models describing electromagnetic phenomena. The four Maxwell laws have been adopted successfully in many applications and involve only the integer order differential calculus. Recently, a closer look for the cases of transmission lines, electrical motors and transformers, that reveal the so-called skin effect, motivated a new perspective towards the replacement of classical models by fractional-order mathematical descriptions. Bearing these facts in mind this paper addresses the concept of static fractional electric potential. The fractional potential was suggested some years ago. However, the idea was not fully explored and practical methods of implementation were not proposed. In this line of thought, this paper develops a new approximation algorithm for establishing the fractional order electrical potential and analyzes its characteristics.
Multiclass SVM Model Selection Using Particle Swarm Optimization
Authors: Bruno Feres de Souza, Andre C. P. L. F. de Carvalho, Rodrigo Calvo, Renato Porfirio Ishii
Venue: Proceedings of the Sixth International Conference on Hybrid Intelligent Systems (2006)

Tuning SVM hyperparameters is an important step for achieving good classification performance. In the binary case, the model selection issue is well studied. For multiclass problems, it is harder to choose appropriate values for the base binary models of a decomposition scheme. In this paper, the authors employ Particle Swarm Optimization to perform a multiclass model selection, which optimizes the hyperparameters considering both local and globalmodels. Experiments conducted over 4 benchmark problems show promising results.