Brushless DC motors (BLDCM) evolution is a continuous process. For example, electric vehicles have begun to use high performance BLDCM. However, their use requires control systems to monitor both speed and torque. In ...
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ISBN:
(纸本)9781538647882
Brushless DC motors (BLDCM) evolution is a continuous process. For example, electric vehicles have begun to use high performance BLDCM. However, their use requires control systems to monitor both speed and torque. In order to avoid the use of Hall sensors, sensorless techniques have to be employed. this paper deals with such a speed control method and its practical implementation using a suitable high-speed microcontroller, for motors up to 0.5kW. Structural analysis as well as functional characteristics of these motors is crucial for proper controller design and implementation, so as to respond to a wide range of applications. the sensorless method used in the present study is based on zero crossing points (ZCP) detection of the motor's back EMF differences, because the ZCP of these waveforms are identical to the time points in which the switching phase changes. Experimental results verified the proposed controller architecture and the relevant software developed.
In this paper, we present FPT algorithms for special cases of the shortest vector problem (SVP) and the integer linear programming problem (ILP), when matrices included in the problems’ formulations are near square. ...
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Optical image processing methods are important for creation and development of an automated measuring information optical system. Statistical methods provide additional information, a better understanding of the objec...
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ISBN:
(数字)9781728144115
ISBN:
(纸本)9781728144122
Optical image processing methods are important for creation and development of an automated measuring information optical system. Statistical methods provide additional information, a better understanding of the object that is being studied. they allow describing main features of the image by several parameters, such as mean value, median and standard deviation. For correlation of the computer simulation and experimental data the method of signal quantization is described. It is defined the parameters of the fitted normal distribution for the optical image variation curve and consent criteria of empirical and theoretical data by Romanovsky method. Obtained results can be used as the preliminary analysis for digital processing of the optical image with application in compression and encryption, holography, identification and tracking.
the proceedings contain 63 papers. the topics discussed include: tuning concurrency of the business process by dynamic programming;use of ontology in identifying missing artifact links;an insight into the capabilities...
ISBN:
(纸本)9781450354141
the proceedings contain 63 papers. the topics discussed include: tuning concurrency of the business process by dynamic programming;use of ontology in identifying missing artifact links;an insight into the capabilities of professionals and teams in agile software development a systematic literature review;challenges of process migration to support distributed exascale computing environment;test case generation from android mobile applications focusing on context events;an empirical study for adopting social computing in global software development;why a good process fail? experience in building a sustainable and effective process for software development;and parameter free flower algorithm based strategy for pairwise testing.
through semantic analysis of the words "sweet" and "good", this thesis aims to understand the cognitive methods and limitations of human beings, trying to reveal the research background, technical ...
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ISBN:
(纸本)9789811379864;9789811379857
through semantic analysis of the words "sweet" and "good", this thesis aims to understand the cognitive methods and limitations of human beings, trying to reveal the research background, technical framework and resonance principle of semantic intelligence. the method is as follows: Firstly, based on the application perspective, the artificial intelligence technology is divided into three categories: motion, perception and semantics. Furthermore, from the perspective of technical framework, it is based on semantic concepts and cosmic energy material system, human self-perception and functional system, computer artificial intelligence system, energy material logic function system, human language grammar system, computer artificial intelligence function logic software programming system, etc. the internal logic of the five aspects advances the principles of semantic intelligence systems, engineering implementation techniques, and systematic research of product systems. the result is: from its research background, it highlights the logic relationship between Chinese classical religion, philosophy and culture, people and people, consciousness and the nature of the universe, and assists withthe modern scientific and technological methods to propose a new framework of semantic intelligence technology content and ideas. the significance is that it can construct a system intelligence theory and principle that integrates the universe's natural, material world, philosophy, science, graphic and symbolic systems, human consciousness and semantic virtual world, and realizes the breakthrough of semantic intelligence research.
KernelF is a functional language built on top of MPS. It is designed to be highly extensible and embeddable in order to support its use at the core of domain-specific languages, realising an approach we sometimes call...
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ISBN:
(纸本)9783319933177;9783319933160
KernelF is a functional language built on top of MPS. It is designed to be highly extensible and embeddable in order to support its use at the core of domain-specific languages, realising an approach we sometimes call Funclerative programming. "Funclerative" is of course a mash-up of "functional" and "declarative" and refers to the idea of using functionalprogramming in the small, and declarative language constructs for the larger-scale, often domain-specific, structures in a program. We have used KernelF in a wide range of languages including health and medicine, insurance contract definition, security analysis, salary calculations, smart contracts and language-definition. In this paper, I illustrate the evolution of KernelF over the last two years. I discuss requirements on the language, and how those drove design decisions. I showcase a couple of the DSLs we built on top of KernelF to explain how MPS was used to enable the necessary language modularity. I demonstrate how we have integrated the Z3 solver to verify some aspects of programs. I present the architecture we have used to use KernelF-based DSLs in safety-critical environments. I close the keynote with an outlook on how KernelF might evolve in the future, and point out a few challenges for which we don't yet have good solutions.
Non-technical losses including electricity theft and anomalies in meter readings are estimated to cost the utility providers tremendous losses of approximately $96 billion per annum. the adoption of smart meter has en...
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ISBN:
(纸本)9781538667965
Non-technical losses including electricity theft and anomalies in meter readings are estimated to cost the utility providers tremendous losses of approximately $96 billion per annum. the adoption of smart meter has encouraged utility providers to use analytics to identify theft. To curb nontechnical losses, they are increasingly leveraging on real-time smart metering and analytics to identify energy theft and irregularities in meter readings. We have previously put forward linear regression-based and linear programming-based anomaly detection frameworks to study consumers' energy consumption behavior for detecting the localities of metering defects as well as energy thefts. In this work, we design and construct an advanced metering infrastructure test rig in the laboratory to perform comparison studies on our previously proposed anomaly detection frameworks in smart grid environment. Results from both test rig and simulations show that linear regression-based anomaly detection framework is able to identify the positions of energy thieves and faulty smart meters without requiring large volume of data samples. However, linear programming-based framework is more robust as compared to linear regression-based because the former is capable of detecting more sophisticated types of energy theft/meter irregularities accurately even in the presence of technical losses/calibration errors.
Present study was focused on obtaining a novel biocomposite obtained from a plant pathogenic strain, Fusarium oxysporum,on wastes from renewable sources, and assessment of microbial development on boththe substrate s...
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Present study was focused on obtaining a novel biocomposite obtained from a plant pathogenic strain, Fusarium oxysporum,on wastes from renewable sources, and assessment of microbial development on boththe substrate surface and inside the aerial structure, by FT-IR analysis. Fourier Transform Infrared (FTIR) spectroscopy was successfully used for recording of infrared spectra specific to various components of microbial biomass of Fusarium oxysporum, grown on an alternative substrate composed of recycled shredded paper and worn coffee. FT-IR analysis allowed highlighting of various functional groups, specific of constituents of microbial biofilm and hyphae: C-H asymmetric and symmetric stretching of CH, -CH2, and -CH3 highlighted at 2923 and 2857cm(-1) which were indicators of the microbial cell fatty acids component, C=O stretching at 1631cm(-1) of amide I of protein (beta-turns, N-H and C-N stretching at 1542cm(-1) of amide II from a-helix of proteins, polysaccharide components, as a major constituent of the fungal biofilm, was confirmed by FT-IR bands at 1380cm(-1), 1195cm(-1) and 1029.8 cm(-1). the verso side of the composite showed similar absorption values as the paper, but with higher intensity peaks, which indicated substrate degradation. therefore, FT-IR analysis made possible the assessment of existence in the developed biocomposite of various biomolecules such as proteins, lipids, polysaccharides.
the proceedings contain 13 papers. the special focus in this conference is on Structured Object-Oriented Formal Language and Method. the topics include: A Software Tool to Support the “Vibration’’ Method;a Software...
ISBN:
(纸本)9783319901039
the proceedings contain 13 papers. the special focus in this conference is on Structured Object-Oriented Formal Language and Method. the topics include: A Software Tool to Support the “Vibration’’ Method;a Software Tool to Support Scenario-Based Formal Specification for Error Prevention;a Proof Score Approach to Formal Verification of an Imperative programming Language Compiler;An Investigation of Integrating aGUI-Aided Approach andaSpecification-Based Testing;on the Cooperative Graph Searching Problem;Boosting Uppaal for OSEK/VDX Applications with a Sequentialization Approach;the Complexity of Linear-Time Temporal Logic Model Repair;Extending UML for Model Checking;foundation of a Framework to Support Compliance Checking in Construction Industry;An Improved Reliability Testing Model Based on SOFL;A Framework Based on MSVL for Verifying Probabilistic Properties in Social Networks.
In this work two metaheuristic algorithms namely, a genetic algorithm (GA) and grammatical evolution (GE) are used to configure genetic programming classification algorithms for financial forecasting. the performance ...
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ISBN:
(纸本)9783030040703;9783030040697
In this work two metaheuristic algorithms namely, a genetic algorithm (GA) and grammatical evolution (GE) are used to configure genetic programming classification algorithms for financial forecasting. the performance of the classifiers evolved through a GA and GE design are compared to the performance of classifiers evolved using the traditional manual design approach. Fifteen stocks from varied sectors are selected to evaluate the performance. Additionally, the fitness landscape of the design space evolved by grammatical evolution and the genetic algorithm is evaluated. Results demonstrate that GE designed algorithms evolve classifiers that perform better than those designed by a GA and manually designed. Furthermore, it is established that the GA design space is more rugged than the GE design space.
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