Efectividad en las redes empresariales

Este estudio tiene como objetivo identificar cuáles son las variables que repercuten en la efectividad de las redes empresariales. Esto, con base en la búsqueda de literatura existente de la efectividad en equipos, en organizaciones y en las redes interorganizacionales, así como el análisis de modelos y estudios empíricos que permitieron el análisis. De acuerdo con la búsqueda, se encontró que variables como la estructura de la red, la estabilidad del sistema, el compromiso de los empleados en cada una de las organizaciones que hacen parte de la red, la confianza dentro de la red, la transferencia de conocimiento y la apertura del sistema son las variables que en conclusión, mostraron ser buenas predictoras de efectividad dentro de las redes empresariales.

Impacto de la prestación de servicios de salud bajo el modelo de red en el municipio de Sogamoso

El presente estudio es de tipo analítico, cohorte retrospectiva, tiene como objeto estudiar un modelo de prestación de servicios de salud bajo el concepto de red integrada, conformada por las clínicas privadas de segundo y tercer nivel de complejidad del municipio de Sogamoso (Boyacá). Se analizó el período comprendido entre los años 2012 a 2014, donde se puede evidenciar la implementación y puesta en marcha del modelo. En el mes de agosto del año 2012, la estrategia de asociatividad la adelantaron las tres instituciones de manera libre y autónoma, utilizando como guía la metodología propuesta por la Cepal en el año 2010; las diferencias entre esta metodología y el modelo utilizado se deben a las particularidades de las clínicas y del contexto en el que se desarrolló. Este modelo de atención surgió de la necesidad de prestar los servicios de salud ofertados por las clínicas, acorde con su capacidad instalada, al total de la población de la Nueva EPS en Sogamoso, que en ese momento coyuntural no se estaba cumpliendo en el municipio, y ninguna de las instituciones tenía la infraestructura individual para atender a toda su población. El resultado de la asociación de las tres clínicas se logró gracias a un grado de confianza previo entre los directivos de las instituciones y posterior a varias reuniones, en las que se tomó la determinación de trabajar con el modelo de Unión Temporal, ya que no son una persona jurídica diferente a las que la conforman Se demuestra el impacto de este modelo asociativo de cada una de las organizaciones que la componen evaluando cuatro ámbitos como la capacidad de aprendizaje, capacidad de gestión estratégica, economía de escala y poder de negociación y externalidades. Para la recolección de la información se utilizaron las bases de datos de las instituciones hospitalarias con la información de los indicadores de oportunidad, así como el incremento de la facturación y del recaudo antes y después de la formación de la Unión Temporal; adicionalmente se realizaron encuestas a los directores de las clínicas como fuente de información para desarrollo de nuevos productos, reducción de costos, ampliación de la oferta hospitalaria, establecimientos de alianza, puesta en marcha de servicios comunes y apertura de nuevos mercados. Sumado a lo anterior, se realizó una encuesta adicional a los usuarios del nuevo producto desarrollado. Como resultado de este estudio se encuentra beneficio en todos los ámbitos evaluados para las instituciones que interactúan bajo este modelo y se espera que obtengan los mismos beneficios que los demás actores participantes en él, como las EAPB, los cuales no hacen parte del presente estudio. En Colombia no se observa la existencia de un modelo similar en sistema de salud, a pesar del leve intento de la Ley 1438 del 2011 por iniciar la conformación de redes; por esta razón se puede decir que este estudio marca un derrotero para que las organizaciones de salud tengan un modelo de articulación ante la falta de desarrollos de esquemas de red y por tratarse de un modelo con ausencia de reglamentación.

Diseño de un sistema de benchmarking de prácticas de recursos humanos en redes interorganizacionales

Hoy en día en el mundo empresarial, son cada vez más las compañías que forman parte de redes interorganizacionales, debido a que al hacer parte de estas se genera un apoyo mutuo entre organizaciones sin que ninguna de ellas imponga acciones a realizar sobre la otra (Sulbrandt, Lira, Ibarra, 2001). En años anteriores se han realizado diversas investigaciones acerca de redes interorganizacionales, estudiando factores económicos, financieros y de mercado, pero poco se ha estudiado acerca del campo de recursos humanos y sus prácticas. Es por esto que esta investigación busca describir, explicar, analizar, y comparar, entre otras actividades intelectuales, conceptos de redes interorganizacionales, prácticas de recursos humanos y benchmarking, para finalmente proponer el diseño de un sistema de benchmarking que logre reunir y evaluar las mejores prácticas de recursos humanos de cada empresa dentro de una red interorganizacional.

Connectivity recovery in epidemic membership protocols

Epidemic protocols are a bio-inspired communication and computation paradigm for extreme-scale network system based on randomized communication. The protocols rely on a membership service to build decentralized and random overlay topologies. In a weakly connected overlay topology, a naive mechanism of membership protocols can break the connectivity, thus impairing the accuracy of the application. This work investigates the factors in membership protocols that cause the loss of global connectivity and introduces the first topology connectivity recovery mechanism. The mechanism is integrated into the Expander Membership Protocol, which is then evaluated against other membership protocols. The analysis shows that the proposed connectivity recovery mechanism is effective in preserving topology connectivity and also helps to improve the application performance in terms of convergence speed.

Black-box decomposition approach for computational hemodynamics: One-dimensional models

Increasing efforts exist in integrating different levels of detail in models of the cardiovascular system. For instance, one-dimensional representations are employed to model the systemic circulation. In this context, effective and black-box-type decomposition strategies for one-dimensional networks are needed, so as to: (i) employ domain decomposition strategies for large systemic models (1D-1D coupling) and (ii) provide the conceptual basis for dimensionally-heterogeneous representations (1D-3D coupling, among various possibilities). The strategy proposed in this article works for both of these two scenarios, though the several applications shown to illustrate its performance focus on the 1D-1D coupling case. A one-dimensional network is decomposed in such a way that each coupling point connects two (and not more) of the sub-networks. At each of the M connection points two unknowns are defined: the flow rate and pressure. These 2M unknowns are determined by 2M equations, since each sub-network provides one (non-linear) equation per coupling point. It is shown how to build the 2M x 2M non-linear system with arbitrary and independent choice of boundary conditions for each of the sub-networks. The idea is then to solve this non-linear system until convergence, which guarantees strong coupling of the complete network. In other words, if the non-linear solver converges at each time step, the solution coincides with what would be obtained by monolithically modeling the whole network. The decomposition thus imposes no stability restriction on the choice of the time step size. Effective iterative strategies for the non-linear system that preserve the black-box character of the decomposition are then explored. Several variants of matrix-free Broyden`s and Newton-GMRES algorithms are assessed as numerical solvers by comparing their performance on sub-critical wave propagation problems which range from academic test cases to realistic cardiovascular applications. A specific variant of Broyden`s algorithm is identified and recommended on the basis of its computer cost and reliability. (C) 2010 Elsevier B.V. All rights reserved.

Simulação do sistema de esgotamento sanitário de Ponta Negra- Natal: mitigação dos riscos ambientais e estratégia de manutenção preditiva

The simulation of SES-Natal Ponta Negra: mitigation of environmental risks and predictive maintenance strategy was developed in the context of several operational irregularities in the pumping stations and sewage systems in the system Ponta Negra. Thus, the environmental risks and complaints against the company due to overflows of sewage into the public thoroughfare became common. This neighborhood has shown in recent years an increase of resident higher than the initial expectation of growth. In this sense presumed the large population growth and generation of sewers higher than expected, associated to the use of corrective maintenance and misuse of the system may be the main causes of operational failures occurring in the SES. This study aimed at analyzing the hydraulic behavior of SES Ponta Negrathrough numerical simulation of its operation associated to future scenarios of occupation. The SES Ponta Negra has a long lengthof collection networks and 6 pumping stations interconnected, being EE 1, 2, 4 coastal way, and beach Shopping interconnected EE3 to receives all sewers pumped from the rest pumping station and pumped to the sewage treatment station of neighborhood which consists of a facultative pond followed by three maturation ponds with disposal of treated effluent into infiltration ditches. Oncethey are connected with each other, the study was conducted considering the days and times of higher inflow for all lifts. Furthermore, with the aim of measuring the gatherer network failures were conducted data survey of on the networks. Thephysical and operational survey data was conducted between January/2011 and janeiro/2012. The simulation of the SES was developed with the aim ofdemonstrating its functioning, eithercurrently and in the coming years, based in population estimates and sewage flow. The collected data represents the current framework of the pumping stations of the SES Ponta Negra and served as input to the model developed in MS Excel ® spreadsheet which allowed simulating the behavior of SES in future scenarios. The results of this study show thatBeach Shopping Pumping Station is actually undersized and presents serious functioning problemsthatmay compromise the environmental quality of surrounding area. The other pumping stations of the system will reach itsmaximum capacity between 2013 and 2015, although the EE1 and EE3 demonstrateoperation capacity, even precariously, until 2017. Moreover, it was observed that the misuse of the network system, due to the input of both garbage and stormwater, are major factors of failures that occur in the SES. Finally, it was found that the corrective maintenance appliance, rather than predictive,has proven to beinefficient because of the serious failuresin the system, causing damage to the environment and health risks to users

Prediction of occurrences of diverse chemical classes in the Asteraceae through artificial neural networks

The training and the application of a neural network system for the prediction of occurrences of secondary metabolites belonging to diverse chemical classes in the Asteraceae is described. From a database containing about 604 genera and 28,000 occurrences of secondary metabolites in the plant family, information was collected encompassing nine chemical classes and their respective occurrences for training of a multi-layer net using the back-propagation algorithm. The net supplied as output the presence or absence of the chemical classes as well as the number of compounds isolated from each taxon. The results provided by the net from the presence or absence of a chemical class showed a 89% hit rate; by excluding triterpenes from the analysis, only 5% of the genera studied exhibited errors greater than 10%. Copyright (C) 2004 John Wiley Sons, Ltd.

A new three-phase transformer modeling for three-phase harmonic analysis in distribution systems

This work presents a new three-phase transformer modeling suitable for simulations in Pspice environment, which until now represents the electrical characteristics of a real transformer. It is proposed the model comparison to a three-phase transformer modeling present in EMTP - ATP program, which includes the electrical and magnetic characteristics. In addition, a set including non-linear loads and a real three-phase transformer was prepared in order to compare and validate the results of this new proposed model. The three-phase Pspice transformer modeling, different from the conventional one using inductance coupling, is remarkable for its simplicity and ease in simulation process, since it uses available voltage and current sources present in Pspice program, enabling simulations of three-phase network system including the most common configuration, three wires in the primary side and four wires in the secondary side (three-phases and neutral). Finally, the proposed modeling becomes a powerful tool for three-phase network simulations due to its simplicity and accuracy, able to simulate and analyze harmonic flow in three-phase systems under balanced and unbalanced conditions.

Short-term multinodal load forecasting in distribution systems using general regression neural networks

Multinodal load forecasting deals with the loads of several interest nodes in an electrical network system, which is also known as bus load forecasting. To perform this demand, it is necessary a technique that is precise, trustable and has a short-time processing. This paper proposes two methodologies based on general regression neural networks for short-term multinodal load forecasting. The first individually forecast the local loads and the second forecast the global load and individually forecast the load participation factors to estimate the local loads. To design the forecasters it wasn't necessary the previous study of the local loads. Tests were made using a New Zealand distribution subsystem and the results obtained are compatible with the ones founded in the specialized literature. © 2011 IEEE.

Análise e desempenho de redes de acesso sem fio

Pós-graduação em Engenharia Elétrica - FEIS

Monitoração e análise de grandezas da qualidade da energia elétrica em processos industriais utilizando instrumentação virtual

O presente trabalho tem como objetivo o desenvolvimento de um sistema de aquisição de dados elétricos de cargas motrizes no processo industrial de sistema de rede automatizada baseado em instrumentação virtual, permitindo a monitoração e análise de distúrbios relacionados à Qualidade de Energia Elétrica (QEE) em regime permanente, como variação de tensão, distorção harmônica e desequilíbrio de tensão, onde os resultados possam ser visualizados em uma interface amigável e intuitiva ao usuário e armazenados de maneira conveniente em um banco de dados. Este sistema é uma solução viável por ter baixo custo na sua implementação e flexível para a monitoração e análise de parâmetros de QEE nos processos industriais quando comparada com a instrumentação tradicional.

Projeto e implementação de redes neurais artificiais em distintos níveis de abstrações para o reconhecimento de deficiências de diversos macronutrientes e cultivares

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Análise da qualidade do transporte público por ônibus no município de Jundiaí-SP

This work shows the importance of taking a good organization of space for the improvement of urban public transport. The model of urban transport is used improperly aggravating factor that generates diseconomies to society. The reduction of the use of public transport, degradation of environmental conditions, chronic congestion, poor accessibility and high rates of traffic accidents are common in many cities. The case study will be done in Jundiaí - SP, where actions were taken to try to reverse this situation of crisis in urban transport, as the change in transport network system. Will analyze the proposals adopted for the implementation of the new network model, steps taken, questionnaires and results from these studies. Verifying the effectiveness of the new transport network model adopted and its reflection with users, those who use the transportation and / or who directly suffer the influences this

Multiplex strategy for multilocus sequence typing, fla typing, and genetic determination of antimicrobial resistance of Campylobacter jejuni and Campylobacter coli isolates collected in Switzerland

We present an optimized multilocus sequence typing (MLST) scheme with universal primer sets for amplifying and sequencing the seven target genes of Campylobacter jejuni and Campylobacter coli. Typing was expanded by sequence determination of the genes flaA and flaB using optimized primer sets. This approach is compatible with the MLST and flaA schemes used in the PubMLST database and results in an additional typing method using the flaB gene sequence. An identification module based on the 16S rRNA and rpoB genes was included, as well as the genetic determination of macrolide and quinolone resistances based on mutations in the 23S rRNA and gyrA genes. Experimental procedures were simplified by multiplex PCR of the 13 target genes. This comprehensive approach was evaluated with C. jejuni and C. coli isolates collected in Switzerland. MLST of 329 strains resulted in 72 sequence types (STs) among the 186 C. jejuni strains and 39 STs for the 143 C. coli isolates. Fourteen (19%) of the C. jejuni and 20 (51%) of the C. coli STs had not been found previously. In total, 35% of the C. coli strains collected in Switzerland contained mutations conferring antibiotic resistance only to quinolone, 15% contained mutations conferring resistance only to macrolides, and 6% contained mutations conferring resistance to both classes of antibiotics. In C. jejuni, these values were 31% and 0% for quinolone and macrolide resistance, respectively. The rpoB sequence allowed phylogenetic differentiation between C. coli and C. jejuni, which was not possible by 16S rRNA gene analysis. An online Integrated Database Network System (SmartGene, Zug, Switzerland)-based platform for MLST data analysis specific to Campylobacter was implemented. This Web-based platform allowed automated allele and ST designation, as well as epidemiological analysis of data, thus streamlining and facilitating the analysis workflow. Data networking facilitates the exchange of information between collaborating centers. The described approach simplifies and improves the genotyping of Campylobacter, allowing cost- and time-efficient routine monitoring.

Highly accurate evaluation of GPS synchronization for TDOA localization

Clock synchronization is critical for the operation of a distributed wireless network system. In this paper we investigate on a method able to evaluate in real time the synchronization offset between devices down to nanoseconds (as needed for positioning). The method is inspired by signal processing algorithms and relies on fine-grain time information obtained during the reconstruction of the signal at the receiver. Applying the method to a GPS-synchronized system show that GPS-based synchronization has high accuracy potential but still suffers from short-term clock drift, which limits the achievable localization error.