MODELAGEM E SIMULAÇÃO DE SISTEMA LOGÍSTICO DE DISTRIBUIÇÃO DE CARNE DE FRANGO.

O sistema logístico para distribuição de produtos acabados caracteriza-se pela integração dos serviços de comunicação, transporte e financeiros com a finalidade de atender às demandas do consumidor final. Estima-se que no estado do Espírito Santo, o consumo de carne de frango seja de 44,4 quilos per capita por ano. Para atender a esta demanda, o estado conta com matadouros-frigoríficos distribuídos pelo seu território, bem como, com a participação de outras empresas localizadas no país. Em sistemas de transportes, são característicos Problemas de Roteamento de Veículos (VRP), que precisam ser estudados, caracterizados e otimizados, normalmente, através de rotinas computacionais, que permitem avaliar maior quantidade de variáveis. O presente trabalho teve por objetivo caracterizar um VRP de um matadouro-frigorífico da região do Sul do Espírito Santo e desenvolver um aplicativo computacional que seja suporte para os gestores de logística, servindo para avaliar e propor rotas, e analisar parâmetros logísticos do processo de distribuição de produtos. No desenvolvimento do aplicativo computacional foi necessário caracterizar o sistema logístico da empresa, coletar e analisar os dados das operações logísticas, desenvolver as rotinas computacionais que representassem o sistema em estudo, verificar a confiabilidade dos resultados fornecidos pelo aplicativo, validá-lo e então, poder realizar as experimentações. O aplicativo desenvolvido permitiu reproduzir dados do sistema estudado e avaliar rotas segundo parâmetros logísticos. Pode-se concluir que o aplicativo computacional desenvolvido é útil aos gestores de logística, permitindo a avaliação das rotas praticadas e de novas configurações de rotas

Predicting Thermoelectric Power Plants Diesel/Heavy Fuel Oil Engine Fuel Consumption Using Univariate Forecasting and XGBoost Machine Learning Models

Monitoring and controlling thermoelectric power plants (TPPs) operational parameters have become essential to ensure system reliability, especially in emergencies. Due to system complexity, operating parameters control is often performed based on technical know-how and simplified analytical models that can result in limited observations. An alternative to this task is using time series forecasting methods that seek to generalize system characteristics based on past information. However, the analysis of these techniques on large diesel/HFO engines used in Brazilian power plants under the dispatch regime has not yet been well-explored. Therefore, given the complex characteristics of engine fuel consumption during power generation, this work aimed to investigate patterns generalization abilities when linear and nonlinear univariate forecasting models are used on a representative database related to an engine-driven generator used in a TPP located in Pernambuco, Brazil. Fuel consumption predictions based on artificial neural networks were directly compared to XGBoost regressor adaptation to perform this task as an alternative with lower computational cost. AR and ARIMA linear models were applied as a benchmark, and the PSO optimizer was used as an alternative during model adjustment. In summary, it was possible to observe that AR and ARIMA-PSO had similar performances in operations and lower error distributions during full-load power output with normal error frequency distribution of −0.03 ± 3.55 and 0.03 ± 3.78 kg/h, respectively. Despite their similarities, ARIMA-PSO achieved better adherence in capturing load adjustment periods. On the other hand, the nonlinear approaches NAR and XGBoost showed significantly better performance, achieving mean absolute error reductions of 42.37% and 30.30%, respectively, when compared with the best linear model. XGBoost modeling was 8.7 times computationally faster than NAR during training. The nonlinear models were better at capturing disturbances related to fuel consumption ramp, shut-down, and sudden fluctuations steps, despite being inferior in forecasting at full-load, especially XGBoost due to its high sensitivity with slight fuel consumption variations

Magnetization plateau in a two-dimensional multiple-spin exchange model

We study a multiple-spin exchange model on a triangular lattice, which is a possible model for low-density solid 3He films. Due to strong competitions between ferromagnetic three-spin exchange and antiferromagnetic four-spin one, the ground states are highly degenerate in the classical limit. At least 2^{L/2}-fold degeneracy exists on the L*L triangular lattice except for the SO(3) symmetry. In the magnetization process, we found a plateau at m/m_{sat}=1/2, in which the ground state is "uuud state" (a collinear state with four sublattices). The 1/2-plateau appears due to the strong four-spin exchange interaction. This plateau survives against both quantum and thermal fluctuations. Under a magnetic field which realizes the "uuud" ordered state, a phase transition occurs at a finite temperature. We predict that low-density solid 3He thin films may show the 1/2-plateau in the magnetization process. Experimental observation of the plateau will verify strength of the four-spin exchange. It is also discussed that this magnetization plateau can be understood as an insulating-conducting transition in a particle picture.Comment: 10 pages, RevTeX, 12 figures, added a reference and corrected typos, to be published in Phys.Rev.B (01 APR 99

Macromolecular structural dynamics visualized by pulsed dose control in 4D electron microscopy

Macromolecular conformation dynamics, which span a wide range of time scales, are fundamental to the understanding of properties and functions of their structures. Here, we report direct imaging of structural dynamics of helical macromolecules over the time scales of conformational dynamics (ns to subsecond) by means of four-dimensional (4D) electron microscopy in the single-pulse and stroboscopic modes. With temporally controlled electron dosage, both diffraction and real-space images are obtained without irreversible radiation damage. In this way, the order-disorder transition is revealed for the organic chain polymer. Through a series of equilibrium-temperature and temperature-jump dependencies, it is shown that the metastable structures and entropy of conformations can be mapped in the nonequilibrium region of a “funnel-like” free-energy landscape. The T-jump is introduced through a substrate (a “hot plate” type arrangement) because only the substrate is made to absorb the pulsed energy. These results illustrate the promise of ultrafast 4D imaging for other applications in the study of polymer physics as well as in the visualization of biological phenomena

Iron-peak elements Sc, V, Mn, Cu and Zn in Galactic bulge globular clusters

Globular clusters are tracers of the history of star formation and chemical enrichment in the early Galaxy. Their abundance pattern can help understanding their chemical enrichment processes. In particular, the iron-peak elements have been relatively little studied so far in the Galactic bulge. The abundances of iron-peak elements are derived for the sample clusters, and compared with bulge field, and thick disk stars. We derive abundances of the iron-peak elements Sc, V, Mn, Cu, and Zn in individual stars of five bulge globular clusters (NGC 6528, NGC 6553, NGC 6522, NGC 6558, HP1), and of the reference thick disk/inner halo cluster 47 Tucanae (NGC 104). High resolution spectra were obtained with the UVES spectrograph at the Very Large Telescope over the years. The sample globular clusters studied span metallicities in the range -1.2<Fe/H]<0.0. V and Sc appear to vary in lockstep with Fe, indicating that they are produced in the same supernovae as Fe. We find that Mn is deficient in metal-poor stars, confirming that it is underproduced in massive stars; Mn-over-Fe steadily increases at the higher metallicities due to a metallicity-dependent enrichment by supernovae of type Ia. Cu behaves as a secondary element, indicating its production in a weak-s process in massive stars. Zn has an alpha-like behaviour at low metallicities, which can be explained in terms of nucleosynthesis in hypernovae. At the metal-rich end, Zn decreases with increasing metallicity, similarly to the alpha-elements.Comment: article resubmitted to Astronomy & Astrophysics, taking into account referee's comment

Estudo sobre o comportamento de cultivares de milho na região semi-árida do Estado de Sergipe.

bitstream/item/80184/1/CPATC-COM.-TEC.-16-84.pd

Dimensionality effects in the LDOS of ferromagnetic hosts probed via STM: spin-polarized quantum beats and spin filtering

We theoretically investigate the local density of states (LDOS) probed by a STM tip of ferromagnetic metals hosting a single adatom and a subsurface impurity. We model the system via the two-impurity Anderson Hamiltonian. By using the equation of motion with the relevant Green functions, we derive analytical expressions for the LDOS of two host types: a surface and a quantum wire. The LDOS reveals Friedel-like oscillations and Fano interference as a function of the STM tip position. These oscillations strongly depend on the host dimension. Interestingly, we find that the spin-dependent Fermi wave numbers of the hosts give rise to spin-polarized quantum beats in the LDOS. While the LDOS for the metallic surface shows a damped beating pattern, it exhibits an opposite behavior in the quantum wire. Due to this absence of damping, the wire operates as a spatially resolved spin filter with a high efficiency.Comment: revised tex

Brazilian embryo industry in context: pitfalls, lessons, and expectations for the future.

Proceedings of the 31st Annual Meeting of the Brazilian Embryo Technology Society (SBTE); Cabo de Santo Agostinho, PE, Brazil, August 17th to 19th, 2017. Abstract

Robust and fault tolerant control of wheeled mobile robots in formation

Este artigo trata de controle robusto e controle tolerante a falhas de movimentos coordenados de robôs móveis com rodas. O controle robusto é baseado em controle H&#8734; não linear por realimentação da saída. O controle tolerante a falhas é baseado em controle H&#8734; por realimentação da saída de sistemas lineares sujeitos a saltos Markovianos para garantir estabilidade da formação quando um dos robôs é perdido durante o movimento coordenado. A coordenação é realizada em função de um lider e qualquer robô da formação pode assumir a liderança de maneira aleatória. Os robôs móveis trocam informações de acordo com um grafo de comunicação direcionado (dígrafo), definido a-priori.This paper deals with robust and fault tolerant controls of wheeled mobile robots (WMRs) in formation. The robust approach is based on output feedback nonlinear H&#8734; control. The fault tolerant approach is based on output feedback H&#8734; control of Markovian jump linear systems to ensure stability of the formation when one of the robots is lost during the coordinated motion. The coordination is performed with the robots following a leader, and any robot of the formation can assume the leadership randomly. The mobile robots exchange informations according to a pre-specified communication directed graph (digraph)