Self Field Measurements by Hall Sensors on the SeCRETS Long Sample CICCs in SULTAN

The aim of this work is to determine the existence and degree of the current unbalance of two types of cable-in-conduit conductors (CICC) of the SeCRETS long sample experiment, and its influence on the conductors' performance. The self-field measurements are performed by using six sets of annular Hall sensors, each containing six sensors, and two linear arrays with ten sensors. The change of the self-field is associated with the redistribution of the transport current between the strands inside the conductor during and after a ramp of current, due to changes of the applied magnetic field or temperature of the conductor. During the DC, AC losses and stability tests, the signals from the Hall sensors were recorded. In DC tests, a clear change of the self-field pattern is observed in the high field region when either current or temperature approached their critical (I/sub cs/ and T/sub cs/) values. No change in the self-field pattern is observed in the experiments with pulsed fields. The method requires improvements for a reasonable quantitative assessment of the current unbalance in the conductor

Self field measurements by Hall sensors on the SeCRETS short sample CICC's subjected to cyclic load

An imbalance in the transport current among the strands of a Cable-in-Conduit conductors (CICC) can be associated with the change of their performance. In order to understand and improve the performance of CICC's, it is essential to study the current imbalance. This paper focuses on the study of the current imbalance in two short samples of the SeCRETS (Segregated Copper Ratio Experiment on Transient Stability) conductors subjected to a cyclic load in the SULTAN facility. The self field around the conductors was measured on four locations by 32 miniature Hall sensors for a reconstruction of the current distribution. The results of the self field measurements in the DC tests are presented and discussed

Indirect fluorometric determination of diclofenac sodium

A simple and easy method of analysis for diclofenac sodium is reported. A spectrofluorometric method for the microdetermination of diclofenac sodium has been developed through its reaction with cerium(IV) in an acidic solution and measurement of the fluorescence of the Ce(III) ions produced. Under the optimum experimental conditions for the oxidation reaction, 1.0 M H 2 SO 4 with 90 min of heating time (100°C), the range of application is 124.3 - 600 ng mL -1 and the limit of detection is 72.7 ng mL -1 . The proposed method was applied to the determination of diclofenac sodium in pharmaceutical tablets. The results of the analysis show a good agreement with those obtained by the official USP 27 HPLC method.Facultad de Ciencias Exacta

Indirect fluorometric determination of diclofenac sodium

A simple and easy method of analysis for diclofenac sodium is reported. A spectrofluorometric method for the microdetermination of diclofenac sodium has been developed through its reaction with cerium(IV) in an acidic solution and measurement of the fluorescence of the Ce(III) ions produced. Under the optimum experimental conditions for the oxidation reaction, 1.0 M H 2 SO 4 with 90 min of heating time (100°C), the range of application is 124.3 - 600 ng mL -1 and the limit of detection is 72.7 ng mL -1 . The proposed method was applied to the determination of diclofenac sodium in pharmaceutical tablets. The results of the analysis show a good agreement with those obtained by the official USP 27 HPLC method.Facultad de Ciencias Exacta

Distributed simulation and industry: Potentials and pitfalls

We present the views of five researchers and practitioners of distributed simulation. Collectively we attempt to address what the implications of distributed simulation are for industry. It is hoped that the views contained herein, and the presentations made by the panelists at the 2002 Winter Simulation Conference will raise awareness and stimulate further discussion on the application of distributed simulation methods and technology in an area that is yet to benefit from the arguable economic benefits that this technique promises

New Perspectives in Manufacturing: An Assessment for an Advanced Reconfigurable Machining System

Traditionally manufacturing cycle involves several production processes that are carried out according to the required technologies tacking into account the constraint due to the production capacity provided by machine tools and the customers' orders time schedule In this paper, a new modular, reconfigurable and scalable machining centre is presented. The resulting system is characterized by the possibility of modifying the machining capacity as well as exchanging the role between workpieces and machining/operating resources. This augmented flexibility creates new opportunities for efficient manufacturing; however, the increased system complexity demands a new approach for the jobs scheduling and machining control. An architecture based on agents modelling is proposed and discussed

Towards learning free naive bayes nearest neighbor-based domain adaptation

As of today, object categorization algorithms are not able to achieve the level of robustness and generality necessary to work reliably in the real world. Even the most powerful convolutional neural network we can train fails to perform satisfactorily when trained and tested on data from different databases. This issue, known as domain adaptation and/or dataset bias in the literature, is due to a distribution mismatch between data collections. Methods addressing it go from max-margin classifiers to learning how to modify the features and obtain a more robust representation. Recent work showed that by casting the problem into the image-to-class recognition framework, the domain adaptation problem is significantly alleviated [23]. Here we follow this approach, and show how a very simple, learning free Naive Bayes Nearest Neighbor (NBNN)-based domain adaptation algorithm can significantly alleviate the distribution mismatch among source and target data, especially when the number of classes and the number of sources grow. Experiments on standard benchmarks used in the literature show that our approach (a) is competitive with the current state of the art on small scale problems, and (b) achieves the current state of the art as the number of classes and sources grows, with minimal computational requirements. © Springer International Publishing Switzerland 2015

Mind, machines and manufacturing: a philosophical essay on machining

Manufacturing evolution provided more and more efficient techniques to extend the anthropometric capabilities of humans. From the Neolithic Revolution to the Digital Revolution, passing through Renaissance and the Industrial Revolution, men invented new tools/systems to achieve objectives covering all the Maslow\u2019s hierarchy of needs: physiological, psychological, self-fulfillment needs. Nowadays, the complexity of society, manufacturing and information technology as well as industry makes challenging to delineate a comprehensive framework of the machining processes that could indicate the trend of the fabrication industry. This paper will provide an historical perspective of the manufacturing industry and its co-evolution in the actual society. In particular, a parallel between the advancement of computer science, information technologies and the machining processes will be presented by considering the description tools provided by different research areas