Implementation of a Human-Computer Interface for Computer Assisted Translation and Handwritten Text Recognition

A human-computer interface is developed to provide services of computer assisted machine translation (CAT) and computer assisted transcription of handwritten text images (CATTI). The back-end machine translation (MT) and handwritten text recognition (HTR) systems are provided by the Pattern Recognition and Human Language Technology (PRHLT) research group. The idea is to provide users with easy to use tools to convert interactive translation and transcription feasible tasks. The assisted service is provided by remote servers with CAT or CATTI capabilities. The interface supplies the user with tools for efficient local edition: deletion, insertion and substitution.Ocampo Sepúlveda, JC. (2009). Implementation of a Human-Computer Interface for Computer Assisted Translation and Handwritten Text Recognition. http://hdl.handle.net/10251/14318Archivo delegad

The Ochodaeidae of Argentina (Coleoptera, Scarabaeoidea)

The Ochodaeidae (Coleoptera: Scarabaeoidea) of Argentina are revised. Previously, two species of Ochodaeinae were known from the country, both in the genus Parochodaeus Nikolajev: P. campsognathus (Arrow) and P. cornutus (Ohaus). An additional 7 species of Parochodaeus from Argentina are described here as new. In addition, Gauchodaeus patagonicus, new genus and new species in the subfamily Chaetocanthinae, is described. "is is the #rst record of the subfamily Chaetocanthinae in South America. Redescriptions, diagnoses, and maps are provided for each species. We also provide a key to genera and a key to species of Parochodaeus of Argentina. With this work, the number of ochodaeid species known from Argentina is increased from 2 to 10.Fil: Paulsen, M. J.. University of Nebraska; Estados UnidosFil: Ocampo, Federico Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Provincia de Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Universidad Nacional de Cuyo. Instituto Argentino de Investigaciones de las Zonas Áridas; Argentin

A revision of the neotropical genus Anahi Martínez (Coleoptera: Scarabaeidae: Melolonthinae) with the description of two new species

El género Anahi Martínez del sur del Neotrópico es comprensivamente revisado y ahora contiene tres especies: A. dentata Ocampo & Ruiz- Manzanos especie nueva, A. guaraniticus Martínez y A. oblivia Ocampo & Ruiz-Manzanos especie nueva. Las nuevas especies extienden la distribución del género de Paraguay y Bolivia a Argentina. A. guaraniticus es redescripta y se amplían los caracteres que definen el género para incluir A. dentata y A. oblivia. Se proveen descripciones, ilustraciones diagnósticas, mapas de distribución y una clave para todas las especies del género. La biogeografía del género y su posición sistemática entre los Melolonthinae son tratados en este artículo. El género Anahi Martínez del sur del Neotrópico es comprensivamente revisado y ahora contiene tres especies: A. dentata Ocampo & Ruiz- Manzanos especie nueva, A. guaraniticus Martínez y A. oblivia Ocampo & Ruiz-Manzanos especie nueva. Las nuevas especies extienden la distribución del género de Paraguay y Bolivia a Argentina. A. guaraniticus es redescripta y se amplían los caracteres que definen el género para incluir A. dentata y A. oblivia. Se proveen descripciones, ilustraciones diagnósticas, mapas de distribución y una clave para todas las especies del género. La biogeografía del género y su posición sistemática entre los Melolonthinae son tratados en este artículo. The southern Neotropical genus Anahi Martínez is comprehensively revised and now includes three species: A. dentata Ocampo & Ruiz-Manzanos new species, A. guaraniticus Martínez, and A. oblivia Ocampo & Ruiz-Manzanos new species. The new species extend the distribution of the genus from Paraguay and Bolivia to Argentina. A. guaraniticus is redescribed and the characters that define the genus are extended to include A. dentata and A. oblivia. Descriptions, diagnosis illustrations, distribution maps and a key to all species of the genus are provided. The biogeography of the genus and its systematic placement within Melolonthinae are here discussed. The southern Neotropical genus Anahi Martínez is comprehensively revised and now includes three species: A. dentata Ocampo & Ruiz-Manzanos new species, A. guaraniticus Martínez, and A. oblivia Ocampo & Ruiz-Manzanos new species. The new species extend the distribution of the genus from Paraguay and Bolivia to Argentina. A. guaraniticus is redescribed and the characters that define the genus are extended to include A. dentata and A. oblivia. Descriptions, diagnosis illustrations, distribution maps and a key to all species of the genus are provided. The biogeography of the genus and its systematic placement within Melolonthinae are here discussed.The southern Neotropical genus Anahi Martínez is comprehensively revised and now includes three species: A. dentata Ocampo & Ruiz-Manzanos new species, A. guaraniticus Martínez, and A. oblivia Ocampo & Ruiz-Manzanos new species. The new species extend the distribution of the genus from Paraguay and Bolivia to Argentina. A. guaraniticus is redescribed and the characters that define the genus are extended to included, dentata and A. oblivia. Descriptions, diagnosis illustrations, distribution maps and a key to all species of the genus are provided. The biogeography of the genus and its systematic placement within Melolonthinae are here discussed.Fil: Ocampo, Federico Carlos. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. University of Nebraska State Museum; Estados UnidosFil: Ruiz Manzanos, Eider. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Provincia de Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Universidad Nacional de Cuyo. Instituto Argentino de Investigaciones de las Zonas Áridas; Argentin

Decentralized energy management of power networks with distributed generation using periodical self-sufficient repartitioning approach

© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.In this paper, we propose a decentralized model predictive control (MPC) method as the energy management strategy for a large-scale electrical power network with distributed generation and storage units. The main idea of the method is to periodically repartition the electrical power network into a group of self-sufficient interconnected microgrids. In this regard, a distributed graph-based partitioning algorithm is proposed. Having a group of self-sufficient microgrids allows the decomposition of the centralized dynamic economic dispatch problem into local economic dispatch problems for the microgrids. In the overall scheme, each microgrid must cooperate with its neighbors to perform repartitioning periodically and solve a decentralized MPC-based optimization problem at each time instant. In comparison to the approaches based on distributed optimization, the proposed scheme requires less intensive communication since the microgrids do not need to communicate at each time instant, at the cost of suboptimality of the solutions. The performance of the proposed scheme is shown by means of numerical simulations with a well-known benchmark case. © 2019 American Automatic Control Council.Peer ReviewedPostprint (author's final draft

Temperature modelling and model predictive control of a pilot-scale batch reaction system

The temperature control equipment on a pilot scale batch reaction system located at EAFIT University in Medelln, Colombia, is modeled and a new controller is designed aiming at using it in the reactor current PLC-based control system. Some mathematical models are developed from experimental data to describe the system behavior and using them several model based predictive controllers are designed. The simplest, yet reliable, model obtained is an ARX polynomial model of order (1,1,1) that yields a four states ane model for which an explicit MPC was calculated. This controller has a reduced mathematical complexity and can probably be used directly on the existing control system.Preprin

Energy efficiency in discrete-manufacturing systems: insights, trends, and control strategies

Since the depletion of fossil energy sources, rising energy prices, and governmental regulation restrictions, the current manufacturing industry is shifting towards more efficient and sustainable systems. This transformation has promoted the identification of energy saving opportunities and the development of new technologies and strategies oriented to improve the energy efficiency of such systems. This paper outlines and discusses most of the research reported during the last decade regarding energy efficiency in manufacturing systems, the current technologies and strategies to improve that efficiency, identifying and remarking those related to the design of management/control strategies. Based on this fact, this paper aims to provide a review of strategies for reducing energy consumption and optimizing the use of resources within a plant into the context of discrete manufacturing. The review performed concerning the current context of manufacturing systems, control systems implemented, and their transformation towards Industry 4.0 might be useful in both the academic and industrial dimension to identify trends and critical points and suggest further research lines.Peer ReviewedPreprin

Energy efficiency improvement through MPC-based peripherals management for an industrial process test-bench

High energy costs evince the growing need for energy efficiency in industrial companies. This paper presents a solution at the industrial machine level to obtain efficient energy consumption. Therefore, a controller inspired by the well-known model predictive control (MPC) strategy was developed for the management of peripheral devices. The validation of the control requires a test-bench to emulate the energy consumption of a manufacturing machine. The test-bench has four devices, two used to emulate the periodic and fixed energy consumption of the manufacturing process and two as peripherals, subject to rules associated with the process. Consequently, a subspace identification (SI) was employed to identify energy models to simulate the behavior of the device. As a final step, a performance comparison between a rule-based control (RBC) and the proposed predictive-like controller revealed the remarkable energy savings. The MPC results show an energy saving of around 3% with respect to RBC as well as an instant maximum energy consumption reduction of 8%, approximately.Peer ReviewedPostprint (published version

Modeling, simulation, and control of the spacecraft attitude dynamics

Based on the three-dimensional dynamics of a rigid body and Newton’s laws, the simplified dynamics of a spacecraft is studied and described through the systematical representation, mathematical modeling and also by a block diagram representation, to finally simulates the spacecraft dynamics in the Matlab programming environment called Simulink. It is paramount to be able to identify and recognize the attitude (often represented with the Euler angles) and position variables like the degrees of freedom (DOF) of the system and also the linear behavior. All this to conclude up about the non-linear behavior presented by the accelerations, velocities, positions and Euler angles (attitude) when those mentioned are plotted against time. In addition to this, the linearized system is found in order to facilitate the control analysis and stability analysis, at using linear analysis tools of Simulink and concepts like controllability and observability, reaching the point of determining under the previous concepts to proceed with the control design phase. Lastly, an uncertainty and sensitivity analysis is realized, by means the Monte-Carlo and the Linear regression method (in Simulink too), to find the torque like critical model input, since it has the greatest effect on the response variables in the system; and thus finally, to implement the Linear Quadratic Regulator (LQR) controller, at using the lqr Matlab functio

Application of Robust Model Predictive Control to a Renewable Hydrogen-based Microgrid

In order to cope with uncertainties present in the renewable energy generation, as well as in the demand consumer, we propose in this paper the formulation and comparison of three robust model predictive control techniques, i. i. e., multi-scenario, tree-based, and chance-constrained model predictive control, which are applied to a nonlinear plant-replacement model that corresponds to a real laboratory-scale plant located in the facilities of the University of Seville. Results show the effectiveness of these three techniques considering the stochastic nature, proper of these systems

Output-feedback model predictive control of a pasteurization pilot plant based on an LPV model

In order to optimize the trade-off between components life and energy consumption, the integration of a system health management and control modules is required. This paper proposes the integration of model predictive control (MPC) with a fatigue estimation approach that minimizes the damage of the components of a pasteurization plant. The fatigue estimation is assessed with the rainflow counting algorithm. Using data from this algorithm, a simplified model that characterizes the health of the system is developed and integrated with MPC. The MPC controller objective is modified by adding an extra criterion that takes into account the accumulated damage. But, a steady-state offset is created by adding this extra criterion. Finally, by including an integral action in the MPC controller, the steady-state error for regulation purpose is eliminated. The proposed control scheme is validated in simulation using a simulator of a utility-scale pasteurization plant.Peer ReviewedPostprint (author's final draft