the paper presents a solution for improving the performance of power generation in a distributed energy resources (DER) microgrid as component of a power Smart Grid (SG). the requirements for voltage regulation are ac...
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ISBN:
(纸本)9781538650653
the paper presents a solution for improving the performance of power generation in a distributed energy resources (DER) microgrid as component of a power Smart Grid (SG). the requirements for voltage regulation are accomplished by algorithms running on an IoT platform. the microgrid state information is obtained via an IoT communication infrastructure allowing acquisition from wireless sensor networks included in the Advanced Metering Infrastructure of SG. In order to avoid uncertainty in measurements, an optimization algorithm based on a Kalman filtering method is used. the experimental results confirm that the use of the IoT platform is beneficial for microgrid power quality control because helps in reducing the internet bandwidth and latency for immediate control action.
this paper proposes an Adaptive Terminal Synergetic Control (ATSYC) as a control strategy for Buck DC-DC converter. A simple Adaptive synergetic control (ATSYC) technique for the buck converter that has a fixed switch...
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ISBN:
(纸本)9781538650653
this paper proposes an Adaptive Terminal Synergetic Control (ATSYC) as a control strategy for Buck DC-DC converter. A simple Adaptive synergetic control (ATSYC) technique for the buck converter that has a fixed switching frequency and zero steady state error. the responses of this controller is robust and its can be defined directly in the time domain. In addition, GA & PSO algorithms will be used to optimize controller parameters using an ITAE criterion. the proposed control scheme is evaluated in a simulation study of a buck converter indicating satisfactory overall performance with stability ensured through Lyapunov synthesis.
the proceedings contain 37 papers. the topics discussed include: a qualitative framework for analyzing homeostasis in gene networks;knowledge-based subtractive integration of mRNA and miRNA expression profiles to diff...
ISBN:
(纸本)9789897580123
the proceedings contain 37 papers. the topics discussed include: a qualitative framework for analyzing homeostasis in gene networks;knowledge-based subtractive integration of mRNA and miRNA expression profiles to differentiate myelodysplastic syndrome;empirical study of domain adaptation with na?ve bayes on the task of splice site prediction;a novel feature generation method for sequence classification - mutated subsequence generation;uneven distribution of potential triplex sequences in the human genome - in silico study using the R/bioconductor package triplex;Bayesian prognostic model for genomic discovery in bipolar disorder;search of possible insertions in bacterial genes;towards a large integrated model of signal transduction and gene regulation events in mammalian cells;and impact of single amino acid substitution upon protein structure.
the conference materials contain 95 papers. the topics covered include artificial neural networks;artificial intelligence (AI) algorithms;AI and object-oriented systems;AI and software engineering;knowledge base archi...
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ISBN:
(纸本)0818642009
the conference materials contain 95 papers. the topics covered include artificial neural networks;artificial intelligence (AI) algorithms;AI and object-oriented systems;AI and software engineering;knowledge base architectures;machine learning;reasoning under uncertainty, fuzzy logic;expert systems and environments;natural language processing;logic and intelligent databases;parallel processing and hardware support.
the proceedings contains 57 papers from the Fifthinternationalconference on Artificial Neural Networks. Topic discussed include: training algorithms;maximum-likelihood procedure;theory of linear smoothers;probabilit...
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the proceedings contains 57 papers from the Fifthinternationalconference on Artificial Neural Networks. Topic discussed include: training algorithms;maximum-likelihood procedure;theory of linear smoothers;probability density estimation;visual feature extraction model;quadtree based image coding;seasonal time series prediction;resource allocating network;long term iterated time series prediction;static partitioned mixture distribution networks;autoencoder theory;data visualization;bootstrap technique;Bayesian labelling;complex transmission systems;distortion equalized fuzzy learning algorithms;multiarm robots;Boolean associative memory;neuronal stochasticity;neural relaxation technique;and adaptive educational toys.
this paper describes an improved methodology for studying combustion in porous media in pore scale. Porous media combustion is one technology having advantages over the conventional combustion system. Examples of comb...
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ISBN:
(纸本)9783642012723
this paper describes an improved methodology for studying combustion in porous media in pore scale. Porous media combustion is one technology having advantages over the conventional combustion system. Examples of combustion in porous media are presented to show the potential application of the present mesh-based microstructure representation algorithm (MBMRA).
the proceedings contain 143 papers. the topics discussed include: parallel processing of frequent itemset based on MapReduce programming model;fire rescue system for high rise building;performance evaluation of differ...
ISBN:
(纸本)9781728140421
the proceedings contain 143 papers. the topics discussed include: parallel processing of frequent itemset based on MapReduce programming model;fire rescue system for high rise building;performance evaluation of different machine learning based algorithms for flood prediction and model for real time flood prediction;language independent multi-class sentiment analysis;face video super resolution using deep convolutional neural network;impact of interference on LoRaWAN link performance;geo-encryption: a location based encryption technique for data security;and design and evaluation of scalable intrusion detection system using machine learning and apache spark.
the study clustered the indexed crime data of the province of Misamis Occidental, Philippines and provided a prediction of its occurrence in the next five years. the study utilized the k-means clustering algorithm and...
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ISBN:
(纸本)9781538652541
the study clustered the indexed crime data of the province of Misamis Occidental, Philippines and provided a prediction of its occurrence in the next five years. the study utilized the k-means clustering algorithm and Autoregressive Integrated Moving Average (ARIMA) model to cluster and forecast the indexed crime data respectively. Results showed that 3 of the indexed crime data were in the first group and five are in the second group. Moreover, rape, cattle rustling, physical injury, robbery, and theft showed an increasing pattern based on the forecasted data from 2015 to 2020. On the other hand, murder showed a decreased pattern based on the predicted data from 2015 to 2020. Homicide and carnapping showed the unpredictable behavior of forecasted data in each predicted year. Future research endeavors may utilize other clustering and forecasting algorithms and conduct a comparative study on the different results.
the proceedings contains 118 papers from the 1996 IEEE internationalconference on Fuzzy Systems. Topics discussed include fuzzy logic and human reasoning, fuzzy neural network training, fuzzy mobile robot navigation ...
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the proceedings contains 118 papers from the 1996 IEEE internationalconference on Fuzzy Systems. Topics discussed include fuzzy logic and human reasoning, fuzzy neural network training, fuzzy mobile robot navigation and sensor integration, fuzzy controller for manipulators, fuzzy logic controllers, adaptive fuzzy sliding mode controller, learning algorithms, gradient descent method, fuzzy systems for imprecision and uncertainty in databases, fuzziness in pattern recognition, fuzzy modeling, fuzzy operations research, genetic algorithms, autonomous vehicle navigation by fuzzy reasoning, fuzzy decision analysis and support, process control, neurofuzzy approach, defuzzification methods, control system analysis, and computational linguistics.
Following Stolarsky, we say that a natural number n is flimsy in base b if some positive multiple of n has smaller digit sum in base b than n does;otherwise it is sturdy. We develop algorithmic methods for the study o...
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