PI Toolset Methodology for Virtual Enterprise Performance Assessment and Governance

Part 16: Performance Measurement Systems

Self-Organizing Map Neural Architectures Based on Limit Cycle Attractors

Recent efforts to develop large-scale neural architectures have paid relatively little attention to the use of self-organizing maps (SOMs). Part of the reason is that most conventional SOMs use a static encoding representation: Each input is typically represented by the fixed activation of a single node in the map layer. This not only carries information in an inefficient and unreliable way that impedes building robust multi-SOM neural architectures, but it is also inconsistent with rhythmic oscillations in biological neural networks. Here I develop and study an alternative encoding scheme that instead uses limit cycle attractors of multi-focal activity patterns to represent input patterns/sequences. Such a fundamental change in representation raises several questions: Can this be done effectively and reliably? If so, will map formation still occur? What properties would limit cycle SOMs exhibit? Could multiple such SOMs interact effectively? Could robust architectures based on such SOMs be built for practical applications? The principal results of examining these questions are as follows. First, conditions are established for limit cycle attractors to emerge in a SOM through self-organization when encoding both static and temporal sequence inputs. It is found that under appropriate conditions a set of learned limit cycles are stable, unique, and preserve input relationships. In spite of the continually changing activity in a limit cycle SOM, map formation continues to occur reliably. Next, associations between limit cycles in different SOMs are learned. It is shown that limit cycles in one SOM can be successfully retrieved by another SOM’s limit cycle activity. Control timings can be set quite arbitrarily during both training and activation. Importantly, the learned associations generalize to new inputs that have never been seen during training. Finally, a complete neural architecture based on multiple limit cycle SOMs is presented for robotic arm control. This architecture combines open-loop and closed-loop methods to achieve high accuracy and fast movements through smooth trajectories. The architecture is robust in that disrupting or damaging the system in a variety of ways does not completely destroy the system. I conclude that limit cycle SOMs have great potentials for use in constructing robust neural architectures.

Impact of single parameter changes on Ceph cloud storage performance

In a general purpose cloud system efficiencies are yet to be had from supporting diverse applications and their requirements within a storage system used for a private cloud. Supporting such diverse requirements poses a significant challenge in a storage system that supports fine grained configuration on a variety of parameters. This paper uses the Ceph distributed file system, and in particular its global parameters, to show how a single changed parameter can effect the performance for a range of access patterns when tested with an OpenStack cloud system.

Prevalencia de síntomas relacionados con desórdenes musculo esqueléticos en trabajadores de una empresa dedicada a la venta y distribución de medicamentos y equipos médicos - Colombia, 2015.

Introducción: Los Desórdenes Musculo-Esqueléticos (DME) tienen origen multifactorial. En Colombia corresponden al principal grupo diagnóstico en procesos relacionados con la determinación de origen y pérdida de capacidad laboral. Objetivo: Determinar la relación entre síntomas musculo-esqueléticos y factores relacionados con la carga física en trabajadores de una empresa dedicada a la venta y distribución de medicamentos y equipos médicos, Bogotá (Colombia), en el año 2015. Materiales y Métodos: Estudio de corte transversal en 235 trabajadores. Se incluyeron variables sociodemográficas, ocupacionales y las relacionadas con los síntomas musculoesqueléticos y carga física. Se utilizó en cuestionario ERGOPAR. Para el análisis se utilizó la Prueba Exacta de Fisher, el Odds Ratio (OR) con el Intervalo de Confianza (IC) del 95%. Se realizó el análisis Multivariado con Regresión Logística Binaria. Resultados: La prevalencia de síntomas relacionados con DME fue de 79,2%, siendo más prevalente en cuello, hombros y columna dorsal (48,1%), seguido por columna lumbar (35,3%). Se encontró una asociación entre síntomas en cuello, hombros y/o columna dorsal con el sexo femenino (p=0,005, OR=2,33, 95%IC: 1,2-4,2); adoptar postura bípeda menos de 30 minutos (p=0,004, OR=3,34, 95%IC: 1,4-7,6); adoptar postura cabeza/cuello inclinado hacia delante entre 30 minutos y 2 horas (p=0,007, OR=3,25, 95%IC :1,3-7,7) y en columna lumbar con adoptar postura espalda/tronco hacia delante entre 30 minutos y 2 horas (p=0,001, OR=4,27, 95%IC: 1,7-10,3); y la antigüedad en el cargo entre 1 y 5 años (p=0,009, OR=3,47, 95%IC: 1,3-8,8). Conclusión: Las posturas bípedas con y sin desplazamiento, inclinaciones de tronco y cabeza, transporte manual de cargas, sexo femenino, antigüedad en el cargo y edad están asociadas conjuntamente al riesgo para presentar DME.

Modelling and PI Control of an Irrigation Canal

The main goal of this paper is to expose and validate a methodology to design efficient automatic controllers for irrigation canals, based on the Saint-Venant model. This model-based methodology enables to design controllers at the design stage (when the canal is not already built). The methodology is applied on an experimental canal located in Portugal. First the full nonlinear PDE model is calibrated, using a single steady-state experiment. The model is then linearized around a functioning point, in order to design linear PI controllers. Two classical control strategies are tested (local upstream control and distant downstream control) and compared on the canal. The experimental results show the effectiveness of the model.

Towards a single crystal Raman spectrum of kaolinite at 77 K

The Raman spectra at 77 K of the hydroxyl stretching of kaolinite were obtained along the three axes perpendicular to the crystal faces. Raman bands were observed at 3616, 3658 and 3677 cm−1 together with a distinct band observed at 3691 cm−1 and a broad profile between 3695 and 3715 cm−1. The band at 3616 cm−1 is assigned to the inner hydroxyl. The bands at 3658 and 3677 cm−1 are attributed to the out-of-phase vibrations of the inner surface hydroxyls. The Raman spectra of the in-phase vibrations of the inner-surface hydroxyl-stretching region are described in terms of transverse and longitudinal optic splitting. The band at 3691 cm−1 is assigned to the transverse optic and the broad profile to the longitudinal optic mode. This splitting remained even at liquid nitrogen temperature. The transverse optic vibration may be curve resolved into two or three bands, which are attributed to different types of hydroxyl groups in the kaolinite.