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A Smart Pool Search Matheuristic for Solving a Multi-objective Microgrid Storage Planning Problem

Energy Procedia 2016年 103卷 292-297页

作者： Vitor N. Coelho Igor M. Coelho Bruno N. Coelho Marcone J.F. Souza Haroldo Gambini N. Mladenović Frederico G. Guimarães Graduate Program in Electrical Engineering Universidade Federal de Minas Gerais Belo Horizonte Brazil Instituto de Pesquisa e Desenvolvimento de Tecnologias Ouro Preto Brazil Department of Computer Science State University of Rio de Janeiro Rio de Janeiro Brazil Department of Computer Science Universidade Federal de Ouro Preto Ouro Preto Brazil Mathematical Institute Serbian Academy of Science and Arts Serbia LAMIH Université de Valenciennes et du Hainaut Cambrésis Valenciennes France Department of Electrical Engineering Universidade Federal de Minas Gerais Belo Horizonte Brazil

In this paper, a multi-objective power dispatching problem that uses Plug-in Electric Vehicle (PEV) as storage units is considered. The problem involves several PEVs and a microgrid community, composed of small houses, residential areas, and different Renewable Energy Resources. Three different objectives are considered: microgrid total costs; usage of PEV batteries and maximum grid peak load. In order to find sets of non-dominated solutions, a matheuristic black box solves several Mixed Integer Linear programming (MILP) subproblems. We improve a previously developed MILP model and design a new multi-objective matheuristic including new problem initialization mechanisms.

关键词： Microgrids Power dispatching Energy storage management Matheuristic Mixed-Integer Linear programming Multi-objetive optimization

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Ultrafast photonic PCR

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Light(Science & Applications) 2015年第1期4卷 267-273页

作者： Jun Ho Son Byungrae Cho SoonGweon Hong Sang Hun Lee Ori Hoxha Amanda J Haack Luke P Lee Department of Bioengineering University of CaliforniaBerkeleyCA 94720USA Berkeley Sensor and Actuator Center University of CaliforniaBerkeleyCA 94720USA Department of Electrical Engineering and Computer Sciences University of CaliforniaBerkeleyCA 94720USA Biophysics Graduate Program University of CaliforniaBerkeleyCA 94720USA

Nucleic acid amplification and quantification via polymerase chain reaction(PCR)is one of the most sensitive and powerful tools for clinical laboratories,precision medicine,personalized medicine,agricultural science,forensic science and environmental *** multiplex PCR,characterized by low power consumption,compact size and simple operation,is ideal for timely diagnosis at the point-of-care(POC).Although several fast/ultrafast PCR methods have been proposed,the use of a simple and robust PCR thermal cycler remains challenging for POC ***,we present an ultrafast photonic PCR method using plasmonic photothermal light-to-heat conversion via photon–electron–phonon *** demonstrate an efficient photonic heat converter using a thin gold(Au)film due to its plasmon-assisted high optical absorption(approximately 65%at 450 nm,the peak wavelength of heat source light-emitting diodes(LEDs)).The plasmon-excited Au film is capable of rapidly heating the surrounding solution to over 150℃ within 3 *** this method,ultrafast thermal cycling(30 cycles;heating and cooling rate of 12.7960.93℃ s^(-1) and 6.660.29℃ s^(-1),respectively)from 55℃(temperature of annealing)to 95℃(temperature of denaturation)is accomplished within 5 *** photonic PCR thermal cycles,we demonstrate here successful nucleic acid(λ-DNA)*** simple,robust and low cost approach to ultrafast PCR using an efficient photonic-based heating procedure could be generally integrated into a variety of devices or procedures,including on-chip thermal lysis and heating for isothermal amplifications.

关键词： genomics light-emitting diodes(LEDs) molecular diagnostics personalized medicine plasmonics point-of-care(POC)diagnostics polymerase chain reaction(PCR)

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A miniaturized brain-machine-spinal cord interface (BMSI) for closed-loop intraspinal microstimulation

A miniaturized brain-machine-spinal cord interface (BMSI) fo...

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IEEE Biomedical Circuits and Systems (BIOCAS)

作者： Shahab Shahdoost Shawn Frost David Guggenmos Jordan Borrell Caleb Dunham Scott Barbay Randolph Nudo Pedram Mohseni Electrical Engineering and Computer Science Dept Case Western Reserve University Cleveland OH USA Rehabilitation Medicine Dept University of Kansas Medical Center Kansas City KS USA University of Kansas Medical Center Kansas City KS US Bioengineering Graduate Program University of Kansas Lawrence KS USA

ISBN: (纸本)9781509029600

This paper reports on a fully miniaturized brain-machine-spinal cord interface (BMSI) for closed-loop cortical control of intraspinal microstimulation (ISMS). The system incorporates two identical 4-channel modules, with each module comprising a neural recording front-end, embedded digital signal processing (DSP) unit, and programmable stimulating back-end. The DSP unit is capable of generating multichannel trigger signals for a wide array of ISMS triggering patterns based upon online discrimination of a programmable number of intracortical neural spikes within a pre-specified time bin via thresholding and time-amplitude windowing. The BMSI system is validated experimentally in a rat model of contusion spinal cord injury (SCI) by converting in real-time multichannel neural spikes recorded from the cerebral cortex into electrical stimuli delivered to the lumbar spinal cord below the level of the injury, resulting in distinct patterns of hindlimb muscle activation in the SCI rat.

关键词： Blanking Digital signal processing Rats Injuries Voltage measurement Spinal cord injury

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A Computational Primitive for Convolution based on Coupled Oscillator Arrays

A Computational Primitive for Convolution based on Coupled O...

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IEEE computer Society Annual Symposium on VLSI

作者： Donald M. Chiarulli Brandon Jennings Yan Fang Andrew Seel Steven P. Levitan Department of Computer Science Computer Engineering Graduate Program Department of Electrical and Computer Engineering University of Pittsburgh Pittsburgh PA

In this paper we present a new computational primitive for convolution using coupled oscillator arrays. It is based on a Degree of Match (DOM) operation for pairs of vectors of analog voltage encoded data. The convolution operation is synthesized from these DOM circuits and computes the precise mathematical convolution of the two vectors. We present an example circuit design for the DOM operator and SPICE simulations of the circuit behavior. A MATLAB model is curve fit to an inverted copy of this output and shown to be roughly equivalent to the square of the Euclidian distance between the vectors. Using a parameterized version of this model we conducted a MATLAB study to analyze the accuracy of the DOM and convolution operations under variations in oscillator array symmetry, locking range, and additive noise. We also show a small example of convolution with an edge enhancement filter.

关键词： Very large scale integration

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Genetic algorithm for type-2 assembly line balancing

Genetic algorithm for type-2 assembly line balancing

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Latin America Congress on Computational Intelligence (LA-CCI)

作者： Celso Gustavo Stall Sikora Thiago Cantos Lopes Heitor Silvério Lopes Leandro Magatão Graduate Program in Electrical and Computer Engineering (CPGEI) Federal University of Technology - Paraná (UTFPR) Graduate Program in Electrical and Computer Engineering (CPGEI) Federal University of Technology - Parana (UTFPR) Curitiba Parana

The assembly line balancing problem (ALBP) consists in finding the best assignment of tasks between several workstations. An evenly distribution reduces idle time and therefore results in more efficient production systems. Although several models have been proposed for ALBP, real lines present restrictions that usually violate simplifications assumptions. This paper presents a hybrid genetic algorithm to solve balancing problems with assignment restrictions. Heuristics are dynamically used in the encoding process to reduce search space and to focus the search on promising areas. The hybrid GA is able to obtain solutions close to the optimal (0.79% in average) for the most used dataset in the literature. The presented GA can incorporate equipment or zoning restrictions that might be present in real assembly lines.

关键词： Resource management Workstations Genetic algorithms Mathematical model Algorithm design and analysis Encoding Production

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An optimization model for the indoor access point placement problem with different types of obstacles

An optimization model for the indoor access point placement ...

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Latin America Congress on Computational Intelligence (LA-CCI)

作者： Alexandre A. Politi Lincoln C. Zamboni Rodrigo Pasti Leandro N. de Castro Graduate Program in Electrical and Computer Engineering Mackenzie Presbyterian University Center for Information Technology

Choosing the ideal spot to set up an Access Point (AP) in a given plant is no simple task. This paper proposes a mathematical model and computational solution to the following problem: given the plant of an indoor environment, a number of reception points and properly characterized obstacles, locate where the access point should be installed, so as to minimize the propagation losses within the environment and ensure a minimum signal level in all receivers. The model proposed differs from others in the literature by treating each obstacle individually and taking into account the material from which it is made. The proposed design minimizes the sum of the attenuations of the signal generated by the AP as the signal traverses the fewest possible obstacles whose attenuation is large (e.g., concrete walls and metal cabinets). To validate the proposed model simulations were performed in an indoor environment with a certain distribution of obstacles of different kinds. The experiments show that the location of the access point varies significantly in the environment according to the materials composing the obstacles. In the most critical case, with obstacles made of concrete, the optimization algorithm could find no location for the AP so that all receptors received a minimum signal level to establish a connection.

关键词： Attenuation Mathematical model Receivers Simulated annealing Concrete Indoor environments

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High-speed 3D brain activity quantification with compressive light-field microscopy

High-speed 3D brain activity quantification with compressive...

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Novel Techniques in Microscopy, NTM 2015

作者： Pégard, Nicolas Lyall, Evan Mardinly, Alan Antipa, Nick Waller, Laura Adesnik, Hillel Department of Molecular and Cell Biology UC Berkeley CA United States Department of Electrical Engineering and Computer Science UC Berkeley CA United States Biophysics Graduate Program UC Berkeley CA United States

We present a non-imaging light-field microscopy method for volume quantification of neural activity in scattering brain tissue. Individual neuron fluorescence is computed directly by independent component identificati... 详细信息

ISBN: (纸本)9781557529541

关键词： Time domain analysis

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TOWARDS WMSN PERFORMANCE USING DIFFERENT PACKET SIZE

TOWARDS WMSN PERFORMANCE USING DIFFERENT PACKET SIZE

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IEEE Sensors

作者： Cesar A. da Silva Marcelo A. C. Ismael Claudio M. Zaina Linnyer B. Ruiz Graduate Program in Electrical Engineering Federal University of Minas Gerais Belo Horizonte MG Brazil Department of Computing Federal Institute of São Paulo Presidente Epitácio SP Brazil Graduate Program in Computer Science State University of Maringá Maringá PR Brazil

The task of designing WMSN real scenarios in order to evaluate the network performance is not trivial. This work sheds some light on this challenge by studying the impact of the load size when using ZigBee protocol in WMSN that transmits images. The main feature is to use real nodes for reading and dividing camera data into packages for transmission over the network. We have analyzed the number of packets transmitted by sensor node and the number of packets received by base station as a success parameter of the delivery. We have also analyzed data delay and data delivery for each load size: 64, 80 and 96 bytes. The results reveal that there is a trade-off between latency and success rate and that the packet size definition can promote the productivity of network resources and the quality of the provided services.

关键词： Protocols ZigBee Wireless sensor networks Cameras Base stations Image communication IEEE 802.15 Standard

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A discretized differential evolution algorithm for the inference of Gene Regulatory Networks

A discretized differential evolution algorithm for the infer...

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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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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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