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Hardware Implementation of P Systems Using Microcontrollers. An Operating Environment for Implementing a Partially Parallel Distributed Architecture

Hardware Implementation of P Systems Using Microcontrollers....

引用

international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Sandra Maria Gomez Canaval Abraham Gutierrez Rodriguez Santiago Alonso Villaverde Natural Computing Group Universidad Politecnica de Madrid Madrid Spain

Nowadays, important efforts in the research of the Transition P Systems have been focused on the simulation/implementation of the massively parallel character ofthe model. the distributed implementation of P Systems hasmet with the communications bottleneck problem. In thissense, there are several research works on analysis for distributed architectures that are technology independent and avoiding communication collisions. Recent works presentanalysis on the suitability for implementing theses architectures using an universal membrane hardware/software component based on microcontrollers. these implementations are directly programming on hardware components and the resulting data is analyzed by means of a specific program which translates the execution bit code into intelligible data for researchers. the aim of this work is to present an operating environment to automate manual tasks performed during the loading, execution and interpretation of P System into distributed architectures based on microcontrollers as well as the interpretation from inner binary data representation inside of microcontrollers.

关键词： Hardware Microcontrollers Biomembranes Computer architecture Independent component analysis Biological system modeling Power system modeling Evolution (biology) Network topology scientific computing

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Decentralized Dynamic Resource Allocation for Workflows in Grid Environments

Decentralized Dynamic Resource Allocation for Workflows in G...

引用

international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Florin Pop Ciprian Dobre Valentin Cristea Faculty of Automatics and Computer Science University Politehnica of Bucharest Romania

In this paper we present an innovative decentralized dynamic resource scheduling solution of large scale application workflows onto distributed, heterogeneous grid environments. the presented resource allocation solution aims to optimize large-scale scientific application workflows by efficiently and effectively mapping and scheduling them onto grid resources. the proposed solution is part of a framework that aims to help scientists easily deploy large-scale scientific workflow applications from a wide-range of research fields. the decentralized architecture, together with the scheduling policies and fault management being proposed in this paper, are specifically designed to optimize the scheduling management for workflows in case of a wide range of grid environment. In order to demonstrate the validity and performance of the presented scheduling solution we propose using modeling and simulation techniques. For that we present the characteristics of a generic simulator that includes all the necessary components to help in evaluating a wide-range of scheduling procedures, such as the ones presented in this, in the context of large-scale heterogeneous grid environment.

关键词： Resource management Processor scheduling Large-scale systems Dynamic scheduling Scheduling algorithm Application software Environmental management Computational modeling Context modeling Grid computing

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Random Numbers for Quantum Key Distribution

Random Numbers for Quantum Key Distribution

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international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Hugo Zbinden Group of Applied Physics University of Geneva Geneva Switzerland

Quantum key distribution (QKD) has seen an important development for the last ten years. Nowadays, different companies offer commercial solutions and key exchanges at pulse rates of up to 1 GHz and over distances of up to 200 km have been demonstrated in research labs. However, the generation of random bit strings has often been neglected and it remains a technical problem, as physical random number generators have still insufficient bit rates for high speed QKD. In this talk, after an introduction in QKD, a state of the art prototype developed at the University of Geneva was presented. this prototype allows generating keys at high rates over up to 200 km of optical fiber. However, due to the lack of high rate physical random generators, random bits at a rate of 350 MHz are produced by a pseudo random number generator seeded by random bits originating from a quantum random number generator (4 MHz, id Quantique). It was show how an eavesdropper could attack a QKD system based on pseudo random numbers. Finally, different possibilities to increase the rates of quantum random number generators was discussed.

关键词： Random number generation Prototypes scientific computing Quantum computing Physics Bit rate Optical fibers

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A Data Aggregation Strategy Based on Wavelet for the Internet of things

A Data Aggregation Strategy Based on Wavelet for the Interne...

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international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Barbara Guidi Andrea De Salve Laura Ricci Department of Computer Science University Of Pisa Pisa Italy Istituto di Informatica e Telematica Consiglio Nazionale delle Ricerche Pisa Italy

ISBN: (纸本)9781538626276

the advent of emerging information and communication technologies, such as RFID, small size sensors and sensor networks, has made accessible a huge amount of information that requires sophisticated and efficient search algorithms to support queries on that data. In this paper we focus on the problem of aggregating data collected from these devices to efficiently support queries, inferences or statistics on them. In general, data aggregation techniques are necessary to efficiently collect information in a compact and cost-effective way. Some current solutions try to meet the above criteria, by exploiting different data aggregation techniques, for instance BitVector or Q_Digest. In this manuscript, we exploit the mathematical wavelet structure to define a sophisticated data aggregation technique for information collected from different nodes. the aggregated data is then exploited for solving multi-dimensional range queries. Experimental results based on simulations of a real dataset show the effectiveness of our approach with respect to other aggregation strategies.

关键词： Peer-to-peer computing Data aggregation Histograms Internet of things Sensor phenomena and characterization Proposals

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Evaluating the Auto Scaling Performance of Flexiscale and Amazon EC2 Clouds

Evaluating the Auto Scaling Performance of Flexiscale and Am...

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international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Filippo Lorenzo Ferraris Davide Franceschelli Mario Pio Gioiosa Donato Lucia Danilo Ardagna Elisabetta Di Nitto Tabassum Sharif Dipartimento di Elettronica e Informazione Politecnico di Milano Italy Flexiant Limited Edinburgh UK

Nowadays cloud computing is becoming one of the most used technological solution to achieve scalability and reduce costs. Scalability is a key point for the success of any business involving the Web and providing services to end-user requests that may vary drastically from one time to another. Sizing a system to provide performance guarantees under peak traffic can be cost prohibitive, the main advantage of cloud computing lays in the opportunity to allocate resources on-demand on a pay per use basis. In this paper we extend Flexi scale public cloud with auto scaling mechanisms and compare these mechanisms with those offered by Amazon. the analysis aims at identifying useful patterns for the execution of Web applications in the cloud and at underlining the critical factors that affect the performance of the two providers. We performed a large set of experiments that demonstrated the importance of tuning correctly the auto scaling parameters.

关键词： Monitoring Servers Cloud computing Measurement Scalability Load management Availability

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On Issues Concerning Cloud Environments in Scope of Scalable Multi-Projection Methods

On Issues Concerning Cloud Environments in Scope of Scalable...

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international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Byron E. Moutafis Christos K. Filelis-Papadopoulos George A. Gravvanis John P. Morrison Department of Electrical and Computer Engineering University Campus Xanthi GR Greece Department of Computer Science Irish Centre for Cloud Computing and Commerce Cork Ireland

ISBN: (纸本)9781509057085

Over the last decade, Cloud environments have gained significant attention by the scientific community, due to their flexibility in the allocation of resources and the various applications hosted in such environments. Recently, high performance computing applications are migrating to Cloud environments. Efficient methods are sought for solving very large sparse linear systems occurring in various scientific fields such as Computational Fluid Dynamics, N-Body simulations and Computational Finance. Herewith, the parallel multi-projection type methods are reviewed and discussions concerning the implementation issues for IaaS-type Cloud environments are given. Moreover, phenomena occurring due to the "noisy neighbor" problem, varying interconnection speeds as well as load imbalance are studied. Furthermore, the level of exposure of specialized hardware residing in modern CPUs through the different layers of software is also examined. Finally, numerical results concerning the applicability and effectiveness of multi-projection type methods in Cloud environments based on OpenStack are presented.

关键词： Cloud computing Hardware Linear systems Virtual machine monitors Virtual machining Noise measurement

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Immune-inspired Web Service Composition Framework

Immune-inspired Web Service Composition Framework

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international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Cristina Bianca Pop Viorica R. Chifu Ioan Salomie Mihaela Dinsoreanu Iulia Vartic Monica Vlad Department of Computer Science Technical University of Cluj Napoca Cluj-Napoca Romania

this paper presents a new Web service composition method which combines the AI planning graph technique with an immune-inspired algorithm to find the optimal composition solution. Simultaneously with the planning graph construction, a matrix of semantic links is built to store the semantic links established between the services on different layers of the graph. the planning graph and the matrix of semantic links represent the main building blocks of our immune-inspired technique for finding the optimal composition solution. We use a multi-criteria function which evaluates the composition solution in terms of its QoS attributes and the quality of the semantic match between the services involved in the solution. In order to validate our approach to automatically compose Web services, we have developed an experimental framework that integrates the planning graph composition approach and the immune-inspired selection technique. We have performed our experiments on a set of Web services from two domains.

关键词： Web services Quality of service Artificial intelligence Semantic Web scientific computing Computer science Matrix decomposition

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Cerebral Metastases Segmentation using Transfer Gliomas Learning and GrabCut

Cerebral Metastases Segmentation using Transfer Gliomas Lear...

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international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Ciprian-Mihai Ceauşescu Bogdan Alexe University of Bucharest Gheorghe Mihoc-Caius Iacob Institute of Mathematical Statistics and Applied Mathematics of the Romanian Academy University of Bucharest

Segmentation of medical images is an important area of research that can be used in prognosis prediction and patient treatment. Due to the high variability of data, the task to develop an accurate segmentation method remains challenging. In this paper we address the problem of cerebral metastases segmentation and focus our analysis on the BrainMetShare dataset. In order to enhance the metastases segmentation performance we propose a two stage method. In the first stage we employ a transfer learning procedure where we train an Unet model on the similar task of low and high grade gliomas segmentation provided by the BraTS dataset and then fine-tune the model for solving our problem of cerebral metastases segmentation. In the second stage we use GrabCut to refine the metastases segmentation masks obtained from the first stage. In the experimental evaluation we show that our two stage method based on transfer learning and GrabCut progressively outperforms the baseline model trained only on cerebral metastases data from BrainMetShare.

关键词： Image segmentation scientific computing Computational modeling Transfer learning Medical treatment Brain modeling Data models

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Building a Textual Entailment System for the RTE3 Competition. Application to a QA System

Building a Textual Entailment System for the RTE3 Competitio...

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international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Adrian Iftene Faculty of Computer Science Alexandru Ioan Cuza슠University Iasi Romania

Textual entailment recognition (RTE) is the task of deciding, when given two text fragments, whether the meaning of one text is entailed (can be inferred) from the other text. Last year, we built our first Textual Entailment (TE) system, with which we participated in the RTE3 competition. the main idea of this system is to transform the hypothesis making use of extensive semantic knowledge from sources like DIRT, WordNet, Wikipedia and acronyms database. Additionally, the system applies complex grammar rules for rephrasing in English and uses the results of a module we built to acquire the extra background knowledge needed. In the first part, we presented the system architecture and the results, whose best run ranked 3 rd in RTE3 among 45 participating runs of 26 *** second part of the paper presents the manner in which we adapted the TE system in order to include it in a Question Answering (QA) system. the aim of using the TE system as a module in the general architecture of a QA system is to improve the ranking between possible answers for questions in which the answer type is Measure, Person, Location, Date and Organization.

关键词： Tellurium Humans scientific computing Application software Computer science Text recognition Wikipedia Databases System performance Sections

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Semantic Annotation Based Service Composition for Grid Workflow Description and Execution

Semantic Annotation Based Service Composition for Grid Workf...

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international symposium on symbolic and numeric algorithms for scientific computing (SYNASC)

作者： Denisa Rodila Victor Bacu Dorian Gorgan Computer Science Department Technical University of Cluj Napoca Cluj-Napoca Romania

the main purpose of the research work presented in this paper was to model and implement a workflow based architecture for Web service composition which allows the integration of composed Web services in a Grid middleware. the composed Web services are integrated as computational nodes in a workflow description and execution platform. To prove the presented theoretical concepts, a prototype was also implemented based on the gProcess application in which the Web services are integrated as satellite image operators in workflows used for processing satellite images. the urge for such a research work was driven by the lack of flexibility offered by the static deployed applications and the need of a dynamic approach given by Web services developed and deployed all over around the world. the proposed solution is a semi-automatic Web service composition based on predefined templates and realized in several steps: automatically search in a private registry, perform semantic annotation, automatically bind information of founded services and create a BPEL business process. this solution offers a dynamic approach and allows a high degree of reusability and interoperability in a Grid medium.

关键词： Web services Resource description framework Semantic Web OWL Computer science Satellites Ontologies Microstrip scientific computing Computer architecture

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