Papers by Lucio Grandinetti
Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium, 2000
A new computational technique for training of multilayer feedforward neural networks with sigmoid... more A new computational technique for training of multilayer feedforward neural networks with sigmoid activation function of the units is proposed. The proposed algorithm consists two phases. The first phase is an adaptive training step calculation, which implements the steepest descent method in the weight space. The second phase is estimation of calculated training step rate, which reaches a state of
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Advances in Parallel Computing, 1998
ABSTRACT
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Future Generation Computer Systems, 2015
ABSTRACT With the advent of new computing technologies, such as cloud computing and contemporary ... more ABSTRACT With the advent of new computing technologies, such as cloud computing and contemporary parallel processing systems, the building blocks of computing systems have become multi-dimensional. Traditional scheduling systems based on a single-resource optimization, like processors, fail to provide near optimal solutions. The efficient use of new computing systems depends on the efficient use of several resource dimensions. Thus, the scheduling systems have to fully use all resources. In this paper, we address the problem of multi-resource scheduling via multi-capacity bin-packing. We propose the application of multi-capacity-aware resource scheduling at host selection layer and queuing mechanism layer of a scheduling system. The experimental results demonstrate performance improvements of scheduling in terms of waittime and slowdown metrics.
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1999 IEEE Africon. 5th Africon Conference in Africa (Cat. No.99CH36342), 1999
The authors proposed to use neural networks (single- and multi-layer perceptrons) for the predict... more The authors proposed to use neural networks (single- and multi-layer perceptrons) for the prediction of measurement channel components (including sensors). This allows one to improve the processing quality of measurement information and the design of intelligent sensing instrumentation systems. The hardware and software of such systems, computer power distribution and processing algorithms are considered
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Proceedings of the 17th IEEE Instrumentation and Measurement Technology Conference [Cat. No. 00CH37066], 2000
The functions and software structure of the higher level of intelligent distributed sensor networ... more The functions and software structure of the higher level of intelligent distributed sensor network (IDSN) are considered. The main purpose of software functions is reaching high accuracy of the data acquisition and processing using neural networks. The proposed client-server software architecture provides effective use of computing resources of the IDSN central computer
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Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems, 2011
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2005 IEEE Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2005
ABSTRACT The main feature of neural network using for accuracy improvement of physical quantities... more ABSTRACT The main feature of neural network using for accuracy improvement of physical quantities (for example, temperature, humidity, pressure etc.) measurement by data acquisition systems is insufficient volume of input data for predicting neural network training at an initial exploitation period of sensors. The authors have proposed the technique of data volume increasing for predicting neural network training using integration of historical data method. In this paper we have proposed enhanced integration historical data method with its simulation results on mathematical models of sensor drift using single-layer and multi-layer perceptrons. We also considered a parallelization technique of enhanced integration historical data method in order to decrease its working time. A modified coarse-grain parallel algorithm with dynamic mapping on processors of parallel computing system using neural network training time as mapping criterion is considered. Fulfilled experiments have showed that modified parallel algorithm is more efficient than basic parallel algorithm with dynamic mapping, which does not use any mapping criterion.
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Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems, 2011
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2012 International Conference on High Performance Computing & Simulation (HPCS), 2012
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Lecture Notes in Computer Science, 1998
Within the EUROMED project, we are performing two main tasks concerning the development of softwa... more Within the EUROMED project, we are performing two main tasks concerning the development of software packages in the fields of telemedicine and computer aided diagnosis: CAMD (Computer Aided Medical Diagnosis) and TeleEEG (Telemedical Software Package for EEG).
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Advances in Parallel Computing, 2005
... Given a Ust L={1,2,..., n} ofjobs, an on-Une algorithm^ considers items in the order given by... more ... Given a Ust L={1,2,..., n} ofjobs, an on-Une algorithm^ considers items in the order given by Hst L. In addition A considers each job / without knowledge of any subsequent joby > / and never reconsiders a job already examined. ... V. Bharadwaj, D. Ghose, V. Mani and T. Robertazzi ...
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Parallel Computing, 2006
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Parallel Computing, 1992
Abstract This paper describes a methodology for the implementation of asynchronous parallel algor... more Abstract This paper describes a methodology for the implementation of asynchronous parallel algorithms on multicomputer systems. The algorithms studied here belong to the class of iterative methods. The proposed methodology is based on the definition of a computational model by which an algorithm is specified as a set of concurrent processes mapped onto a set of processors and communicating by asynchronous message passing.
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Parallel Computing, 2000
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Parallel Computing, 1996
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Optimization Methods and Software, 2002
This article addresses the Capacitated Plant Location Problem with Multiple Facilities in the Sam... more This article addresses the Capacitated Plant Location Problem with Multiple Facilities in the Same Site (CPLPM), a special case of the classical Capacitated Plant Location Problem (CPLP) in which several facilities (possibly having different fixed costs and different capacities) can be opened in the same site. Applications of the CPLPM arise in a number of contexts, such as the location
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Optimization Methods and Software, 1994
A new iterative algorithm for solving unconstrained optimization problems is introduced. It is ba... more A new iterative algorithm for solving unconstrained optimization problems is introduced. It is based on the construction, at each iteration, of a curvilinear path to be searched for a local solution. Since the curvilinear path is denned by using a tensor of third order partial derivatives of the objective function, efficient and reliable implementations can benefit of powerful computational tools
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Computers & Operations Research, 2007
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Papers by Lucio Grandinetti