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Latin America Congress on Computational Intelligence (LA-CCI)

作者： Leandro T. Hattori Heitor S. Lopes Fabrício M. Lopes Graduate Program in Electrical and Computer Engineering (CPGEI) Federal University of Technology Curitiba Paraná Brazil Graduate Program in Bioinformatics (PPGBIOINFO) Federal University of Technology Paraná Brazil

Feature selection is a very important procedure in the pattern recognition research field. Feature selection algorithms are particularly important in the inference of Gene Regulatory Networks (GRNs) from its gene expression profiles, which usually involves data with a large number of variables and small number of observations. This work presents the inference of GRNs from two different feature selection approaches: classical (deterministic) SFS and SFFS search algorithms, and (meta-heuristic) Discretized Differential Evolution (DDE) algorithm. Several Artificial Gene Networks (AGNs) were probabilistically generated for testing. They had different sizes and topologies following three models: Erdös-Rényi uniformly-random, Watts-Strogatz small-world, and Barabási-Albert scale-free. Results confirm that, as the number of candidate predicting genes increase, the performance of the compared methods decrease, revealing the exponential characteristic of the problem. Notwithstanding, for all network sizes and topologies studies, the DDE algorithm achieved better results than the other approaches, especially for GRNs with hubs.

关键词： Inference algorithms Network topology Prediction algorithms Topology Bioinformatics Gene expression Entropy

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Seven level asymmetric inverters with coupled inductors

Seven level asymmetric inverters with coupled inductors

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Brazilian Power Electronics Conference, COBEP

作者： Diego A. Acevedo Bueno Juliano C. Leal da Silva Edison Roberto C. da Silva Abinadabe Silva Andrade Tulio Albuquerque Dias Post-graduate Program in Electrical Engineering - PPgEE/COPELE Universidade Federal de Campina Grande Campina Grande PB BR Post-graduate Program in Electrical Engineering - PPgEE/COPELE Federal University of Campina Grande Campina Grande PB Brazil COPELE Federal University of Campina Grade/LETAM Campina Grande PB Brazil

This paper proposes two seven level asymmetric inverter with coupled inductors that enable a reduction in the number of controlled switching devices. However, the lack of redundant states and difference in the maximum pole voltages reduce the performance of the inverters due to higher winding currents and saturation of magnetic core. For mitigating those issues, a coupled inductor with elevated magnetizing inductance is used. The operation principle, conducting states and modulation strategy are described. Simulation and experimental results demonstrate the feasibility of proposed topology.

关键词： Topology Inductors Switches Windings Inductance Modulation Capacitors

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An efficient method to determine strain profiles on FBGs by using differential evolution and GPU

An efficient method to determine strain profiles on FBGs by ...

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Latin America Congress on Computational Intelligence (LA-CCI)

作者： Lucas Hermann Negri Heitor Silvério Lopes Marcia Muller José Luís Fabris Aleksander Sade Paterno Graduate Program in Electrical and Computer Engineering Federal University of Technology Curitiba Paraná Brazil Department of Electrical Engineering Santa Catarina State University Joinville Brazil

This paper shows the application of the Differential Evolution algorithm to the recovery of the deformation profile applied to a fiber Bragg grating sensor (FBG). The method uses only the sensor reflectivity, without the need of phase information, and has been shown to be highly parallelizable. The method was specially implemented to run the complex computations required by the fitness function using a Graphical Processing Unit (GPU). This provided an enhancement of 3 orders of magnitude in the computation time when compared to similar methods shown in literature. Three experiments were performed to evaluate the computational performance of the DE algorithm, and its convergence of the solution to the target deformation profile. Overall, the method is very promising and it can be applied to problems that require a fast response, such as the online monitoring of FBG sensors.

关键词： Fiber gratings Sociology Statistics Gratings Mathematical model Strain

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The DTN Routing Problem: Exploitation versus Exploration of Solutions

The DTN Routing Problem: Exploitation versus Exploration of ...

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IEEE Vehicular Technology Conference

作者： Jaquinei de Oliveira Ana Cristina B. Kochem Vendramin Anelise Munaretto Myriam Delgado Graduate Program in Applied Computer Science (PPGCA) Federal University of Technology - Parana (UTFPR) Curitiba Brazil Graduate Program in Electrical and Computer Engineering (CPGEI) Federal University of Technology - Parana (UTFPR) Curitiba Brazil

Designed to Delay Tolerant Networks, the Cultural Greedy GrAnt (CGrAnt) routing protocol uses Ant Colony Optimization to represent the population space of a Cultural Algorithm. CGrAnt aims to improve the message forwarding by analyzing the network characteristics based on three distinct knowledge: Domain, History, and Situational. The Domain knowledge plays a central role in the CGrAnt operation as it provides a good balance between search space exploration (through the selection of new solutions) and exploitation (through the selection of previously found solutions). This work proposes alternative metrics to be used by the Domain knowledge of CGrAnt. Results show that the new proposed metrics increase the CGrAnt performance.

关键词： Measurement Routing protocols Sociology Statistics History Social network services

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Investigation of interstitial ultrasound ablation of spinal and paraspinal tumors: A patient-specific and parametric simulation study

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AIP Conference Proceedings 2017年第1期1821卷

作者： Serena J. Scott Vasant Salgaonkar Punit Prakash E. Clif Burdette Chris J. Diederich Thermal Therapy Research Group Dept. of Radiation Oncology University of California San Francisco 1600 Divisadero St. Suite H-1031 San Francisco CA 94143 USA UC Berkeley – UC San Francisco Graduate Program in Bioengineering CA USA Department of Electrical and Computer Engineering Kansas State University Manhattan KS USA Acoustic MedSystems 208 Burwash Ave. Savoy IL 61874 USA

Preferential acoustic absorption and heating of bone can significantly impact interstitial ultrasound ablation of tumors within or bordering the spine. Furthermore, intervening cortical bone may provide acoustic and thermal insulation that can protect sensitive structures nearby, such as the spinal cord. The objectives of this study are firstly, to apply parametric and patient-specific models to theoretically assess the feasibility of interstitial ultrasound ablation of tumors within and near the spine, and secondly, to identify potential energy delivery strategies, safety criteria, advantages, and disadvantages of interstitial ultrasound in this setting. Transient biothermal models using previously validated approximations for power deposition within bone from interstitial sources were employed. Multilayered axisymmetric models were used to perform a parametric assessment of the impact of tumor dimensions, attenuation (dependent on residual bone content), perfusion, and maximum temperature thresholds on necessary treatment parameters and on treatment effectiveness. 3D patient-specific finite element models were generated based on segmented CT scans for nine representative patient cases selected to bracket a range of clinical interest, with tumors in or near the vertebrae, sacrum, and ilium. Tumors were 10-27 mm in diameter, 10-43 mm long, and 0-14 mm from the spinal canal. Paraspinal tumors, osteolytic vertebral tumors, and a mixed osteolytic/osteoblastic iliac bone tumor were considered. 7 MHz (1.5 mm OD) and 3.0 MHz (3.2 mm OD) applicators with an array of 1-4 tubular transducers (0.5 -1.5 cm long, 150-360° sector angles), were applied in various implant configurations. Variable thicknesses of bone insulating critical anatomy from the tumor and insulation of the spinal cord with injected carbon dioxide were also investigated for definition of safety margins and possible protection of critical structures. 6-44 mm diameter osteolytic tumors surrounded by bone and b

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A Hyper-Heuristic for the Environmental/Economic Dispatch Optimization Problem

A Hyper-Heuristic for the Environmental/Economic Dispatch Op...

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Brazilian Conference on Intelligent Systems (BRACIS)

作者： Richard A. Gonçalves Carolina P. Almeida Sandra M. Venske Josiel N. Kuk Lucas M. Pavelski Myriam R. Delgado Computer Science Department UNICENTRO Guarapuava PR Brazil Graduate Program in Electrical and Computer Engineering Federal University of Paraná Curitiba PR Brazil

Hyper-Heuristics are high-level methodologies developed to select or generate heuristics for solving complex problems. Despite their success, there is a lack of multi-objective hyper-heuristics. In the multi-objective optimization context, MOEA/D decomposes a problem into a number of sub problems handled by individuals in a collaborative manner. Our approach, named MOEA/D-HH SW , expands the MOEA/D framework with a multi-objective selection hyper-heuristic. It uses the proposed adaptive choice function with sliding window to determine which low-level heuristic (differential evolution operators) should be applied by each individual during MOEA/D execution. The proposed approach is tested in three known instances of the multi-objective environmental/economic dispatch problem, formulated as a non-linear constrained optimization problem with competing and non-commensurable objectives. MOEA/D-HH SW outperforms state-of-the-art algorithms reported in the literature for all considered instances.

关键词： Optimization Fuels Generators Sociology Statistics Propagation losses Mathematical model

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Optimization Process of Glycerol Esterification Using Real Time Adaptive Control

Optimization Process of Glycerol Esterification Using Real T...

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International Conference on Advanced computer Science and Information Systems

作者： Iwan Aang Soenandi Ani Suryani Taufik Djatna Irzaman Post Graduate Program of Agro-industrial Technology Bogor Agricultural University Dramaga Indonesia Lecturer Faculty of Engineering and Computer Science Krida Wacana Christian University Post Graduate Program of Agro-industrial Technology Bogor Agricultural University. Dramaga Indonesia Post Graduate Program of Agro-industrial Technology and Graduate Program of Computer Science Bogor Agricultural University. Dramaga Indonesia Department of Physics Faculty Mathematics and Natural Sciences Bogor Agricultural University. Dramaga Indonesia

ISBN: (纸本)9781509003648

The synthesis reaction used in esterification needs high energy consumption and a precise processing time to get the best yield of target. In this study, a model was formulated to optimize glycerol esterification process by minimizing the time needed for the process and maximizing the yield of Mono-glycerides. This optimization has gained importance for boosting the esterification industry and improving the production efficiency. Optimization through adaptive monitoring and control has provided significant advances in the process efficiency, a lower energy consumption and a better product quality. This paper presents the optimization with a computational algorithm in real time and adaptive control (RTAC), as compared to the conventional (traditional) methods to monitor and control of glycerol esterification processes. The identification of esterification status based on temperature and time are evaluated to strengthen the optimization. An adaptive method as feature selection to select wavelength IR sensors at specified intervals was carried out with Relief algorithm and Adaptive Pillar K-means clustering method to set the parameter control was proposed in this paper. Many combinations were evaluated from real time condition process, to achieve the best optimization results. The experimental results demonstrate that real time adaptive control can be achieved by using three clusters, which are heating up, stabilizing and finishing. In RTAC, each cluster has its own parameter to set the control point by the servo motor that was attached to magnetic stirrer-heater. By using optimization parameter for each cluster, esterification process time can be shortened by 15-20 minutes with a higher yield (7% or more), lower range stirrer rotation (300rpm-450 rpm) and a lower final temperature of 200℃ - 210℃.

关键词： Optimization Real Time Adaptive Control Glycerol Esterification

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Universal active power filters based on nine-leg converter

Universal active power filters based on nine-leg converter

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IEEE Energy Conversion Congress and Exposition

作者： P. L. S. Rodrigues C. B. Jacobina G. A. d. A. Carlos Post-Graduate Program in Electrical Engineering - PPgEE - Copele Department of Electrical Engineering Federal University of Campina Grande (UFCG) Paraiba Brazil Universidade Federal de Campina Grande Campina Grande PB BR

This paper proposed two universal active power filter (UAPF) topologies for reactive power and harmonic compensation. The proposed system is a combination of series and shunt active power filters. They are suitable to improve the harmonic distortion in the grid currents and a voltage compensation. The filters are composed of three three-phase converters resulting in nine legs. The first (configuration I) can operate with floating dc-link capacitor or an auxiliary DC source on the series filter and the second one (configuration II) uses a combination of two series filters and one shunt filter sharing a single dc-link. The complete control system, including the PWM techniques, is developed and a comparison between the configurations is done. Simulation and experimental results are shown for validation purposes.

关键词： Pulse width modulation Voltage control Capacitors Harmonic analysis Power harmonic filters Control systems

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Low-complexity pruned 8-point DCT approximations for image encoding 25

Low-complexity pruned 8-point DCT approximations for image e...

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25th International Conference on Electronics, Communications and computers, CONIELECOMP 2015

作者： De Coutinho, Vitor A. Cintra, Renato J. Bayer, Fábio M. Kulasekera, Sunera Madanayake, Arjuna Graduate Program in Electrical Engineering - PPGEE Federal University of Pernambuco Brazil Signal Processing Group Dept. of Statistics Federal University of Pernambuco Brazil LIRIS Institute National de Sciences Appliquées - INSA Lyon France Dept. of Statistics LACESM Federal University of Santa Maria Brazil Dept. of Electrical and Computer Engineering University of Akron United States

ISBN: (纸本)9781479974368

Two multiplierless pruned 8-point discrete cosine transform (DCT) approximation are presented. Both transforms present lower arithmetic complexity than state-of-the-art methods. The performance of such new methods was assessed in the image compression context. A JPEG-like simulation was performed, demonstrating the adequateness and competitiveness of the introduced methods. Digital VLSI implementation in CMOS technology was also considered. Both presented methods were realized in Berkeley Emulation Engine (BEE3). © 2015 IEEE.

关键词： Discrete cosine transforms

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Mid-infrared optical tomography for imaging through petroleum: a feasibility study

Mid-infrared optical tomography for imaging through petroleu...

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IEEE International Instrumentation and Measurement Technology Conference

作者： Tiago P. Vendruscolo Rodolfo L. Patyk Guilherme Dutra Cicero Martelli Rigoberto E. M. Morales Marco J. da Silva Graduate Program of Electrical and Computer Engineering Federal University of Technology-Parana Curitiba PR Brazil 80230-901 Graduate Program of Mechanical and Materials Engineering Federal University of Technology-Parana Curitiba PR Brazil 80230-901

ISBN: (纸本)9781479961153

The feasibility of generating tomographic images of objects inside crude oil is investigated in this paper. Crude oil in the visible spectrum usually appears as black oil. Nevertheless, in the mid-infrared range, crude oil presents bands of high transmission. These windows of opportunities are explored to obtain data for generating cross-section images. In this paper, a first generation tomograph (containing one radiation source and one detector) is setup and applied to visualize objects inside a typical crude oil sample from a Brazilian reservoir. Reconstructed images based on standard filtered back-projection algorithm for phantom measurements show very promising results.

关键词： Optical tomography MIR Imaging crude oil

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