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IEEE International Conference on Industrial Technology (ICIT)

作者： Stefan Dumbrava Faculty of Automatic Control and Computer Engineering Gheorghe Asachi Technical University of Iasi Iasi Romania

Enterprise control applications are becoming more and more complex, exploiting distributed object technology in multi-tier architectures. For educational purposes, the development of a manufacturing control laboratory that may emphasize the new control techniques and the overall integration of the system activities is a complex and challenging task. In the paper, an enterprise application solution that integrates the ERP concept in three-tier architecture with a Flexible Manufacturing System is presented. It contains modularized, distributed subsystems in configurable and maintainable software. Starting from the customer order, to planned order dispatch, the ERP main components and the information flow within the system is presented. The software architecture contains the ERP components that are implemented using Enterprise Java Beans, deployed in a J2EE application server. It enables transactions with the business environment, shop-floor system and the database. The application is conceptually designed and analyzed using a visual model developed in Unified Modelling Language.

关键词： Application software Enterprise resource planning control systems Software maintenance Laboratories computer architecture Flexible manufacturing systems Software architecture Java Transaction databases

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Effects of complex motion in a new cantilever-beam nonlinear electromagnetic vibration energy harvester 18

Effects of complex motion in a new cantilever-beam nonlinear...

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18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic engineering, ISEF 2017

作者： Jagiela, Mariusz Kulik, Marcin Faculty of Electrical Engineering Automatic Control and Computer Science Opole University of Technology Opole Poland

ISBN: (纸本)9781538616611

A new cantilever-beam nonlinear electromagnetic vibration energy harvester with noticeable effects of complex motion composed of relative displacement and torsion of the vibrating element is considered. The analysis of frequency characteristics carried out using the finite element models shows significant differences regarding generated output voltage and frequency bandwidth when detailed 2-d variations of the magnetic force components are taken into account. © 2017 IEEE.

关键词： Energy harvesting

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Linear diffusion for generating plant distribution in natural environment simulation

Linear diffusion for generating plant distribution in natura...

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International Conference on System Theory, control, and Computing (ICSTCC)

作者： Bogdan Apostol Vasile Manta Faculty of Automatic Control and Computer Engineering Technical University of Gheorghe Asachi of Iasi Iasi Romania

Seamless simulation and rendering of realistic natural environments has the goals of modeling the terrain and placing large groups of plants in a manner that would generate a scene similar to what a viewer would see in real life. The placement of plants is derived automatically from real land cover classification (LCC) data which describes each area on the map as a single vegetation type. This work presents a method for solving the problem of plant distribution in transition areas between different vegetation classes by using the concept of linear diffusion in an arbitrary direction. In practice this direction can be determined by different climatic factors. Our proposed implementation can accurately process a high number of neighboring areas in real-time by using parallel processing on the graphics processing unit.

关键词： Rendering (computer graphics) Vegetation mapping Graphics processing unit Ecosystems Hardware Real time systems Computational modeling

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A novel hybrid approach of Evolutionary Algorithm based on Imperialist Competitive Algorithm

A novel hybrid approach of Evolutionary Algorithm based on I...

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International Conference on System Theory, control, and Computing (ICSTCC)

作者： Tiberius Dumitriu Faculty of Automatic Control and Computer Engineering “Gheorghe Asachi” Technical University of Iasi Iasi ROMANIA

Evolutionary Algorithms are representative as a research field in continuous development and a permanent source of new ideas. In order to minimize a function, some algorithms such as Genetic Algorithms, the Imperialist Competitive Algorithm and Evolutionary Hybrid Algorithms were investigated in this paper. Also, in order to accelerate the search of an optimal solution a new hybrid algorithm based on the Imperialist Competitive Algorithm is proposed. The tests showed that the proposed algorithm tends to reach an optimal solution faster than other algorithms.

关键词： Mathematical model Genetic algorithms Algorithm design and analysis Optimization Sociology Statistics Chaos

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A Review of Findings from Neuroscience and Cognitive Psychology as Possible Inspiration for the Path to Artificial General Intelligence

arXiv

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arXiv 2024年

作者： Leon, Florin Department of Computer Science and Engineering Faculty of Automatic Control and Computer Engineering "Gheorghe Asachi" Technical University of Iași Romania

This review aims to contribute to the quest for artificial general intelligence by examining neuroscience and cognitive psychology methods for potential inspiration. Despite the impressive advancements achieved by deep learning models in various domains, they still have shortcomings in abstract reasoning and causal understanding. Such capabilities should be ultimately integrated into artificial intelligence systems in order to surpass data-driven limitations and support decision making in a way more similar to human intelligence. This work is a vertical review that attempts a wide-ranging exploration of brain function, spanning from lower-level biological neurons, spiking neural networks, and neuronal ensembles to higher-level concepts such as brain anatomy, vector symbolic architectures, cognitive and categorization models, and cognitive architectures. The hope is that these concepts may offer insights for solutions in artificial general intelligence. © 2024, CC BY-NC-SA.

关键词： Decision making

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Refresh Method for the Weights of the Analogue Synapses

Refresh Method for the Weights of the Analogue Synapses

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International Conference on System Theory, control, and Computing (ICSTCC)

作者： Mircea Hulea Alexandru Bârleanu Faculty of Automatic Control and Computer Engineering Gheorghe Asachi Technical University of Iasi Iasi Romania

ISBN: (数字)9781728198095

ISBN: (纸本)9781728198101

The analogue implementation of spiking neural networks have the critical advantage of parallel operation and information transmission. The implementation in hardware of the synaptic weights and learning mechanisms represents a challenging task. A cheap and efficient method to store the weights of analogue SNN which benefits from real time adjustment represents the capacitors. However, the main disadvantage of this method represents the leakage currents which make the synaptic weights volatile. This paper proposes and evaluates experimentally a method for refreshing the weights of the analogue synapses by rhythmic activation of the neurons. The results show that the long term memory of analogue neurons improves significantly if the neurons are activated at certain periods of time. Moreover, in order to obtain non-volatile memory the refresh rate can be determined as a function of the initial value and the variation of the synaptic weights.

关键词： Neurons Synapses Capacitors Depression Hardware Random access memory Information processing

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An evolutionary optimization framework for intelligent agents

An evolutionary optimization framework for intelligent agent...

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International Conference on System Theory, control, and Computing (ICSTCC)

作者： Florin Leon Bogdan I. Aignătoaiei Andrei D. Leca Automatic Control and Computer Engineering Faculty Technical University of Gheorghe Asachi of Iasi Iasi Romania

Evolutionary algorithms have become popular in the recent years as a general, simple, and robust technique that can be used when other optimization methods cannot be applied. Presently, there are a number of evolutionary/genetic algorithm libraries publicly available; however, they are not specifically designed for multiagent systems. The framework described in this paper addresses this problem and presents a general architecture for evolutionary optimization aimed to be used by agents in a multiagent system implemented in the JADE framework inspired from the island model of parallel genetic algorithms. The characteristics of evolutionary algorithms that are more appropriate for use in a distributed, cooperative multiagent environment are also identified.

关键词： Evolutionary computation Optimization Genetic algorithms Multiagent systems computer architecture Biological cells Genetics

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A Review of Tracking, Prediction and Decision Making Methods for Autonomous Driving

arXiv

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arXiv 2019年

作者： Leon, Florin Gavrilescu, Marius "Gheorghe Asachi" Technical University of Iaşi Romania Faculty of Automatic Control and Computer Engineering

This literature review focuses on three important aspects of an autonomous car system: tracking (assessing the identity of the actors such as cars, pedestrians or obstacles in a sequence of observations), prediction (predicting the future motion of surrounding vehicles in order to navigate through various traffic scenarios) and decision making (analyzing the available actions of the ego car and their consequences to the entire driving context). For tracking and prediction, approaches based on (deep) neural networks and other, especially stochastic techniques, are reported. For decision making, deep reinforcement learning algorithms are presented, together with methods used to explore different alternative actions, such as Monte Carlo Tree Search. Copyright © 2019, The Authors. All rights reserved.

关键词： Autonomous vehicles

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Achieving better recommendations with overclassification: Practical considerations

Achieving better recommendations with overclassification: Pr...

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International Conference on System Theory, control, and Computing (ICSTCC)

作者： Onofrei George Archip Alexandru Faculty of Automatic Control and Computer Engineering “Gheorghe Asachi” Technical University of Iasi România

ISBN: (纸本)9781509027217

With the growth of the Internet, recommendations have become a fact of life and there is a big competition between companies to get as much market share as possible. This is achievable not only through fast to market solutions but also by constantly providing high quality services. Considering the speed of current technological advancements, it is impossible to conceive a world without some form of prediction. Traditionally, recommendations have been computed using the collaborative filtering method, but the growth of available information has pushed research into other directions such as content based, demographic based, utility-based, knowledge-based and hybrids. This paper provides an introduction to collaborative filtering and content based methods, describing the underlying concepts, and discusses possible improvements using overclassification. Individual results are presented and then compared with the overclassification approach.

关键词： Collaboration Correlation Prediction algorithms Clustering algorithms Partitioning algorithms Training Motion pictures

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A compact size signal conditioning circuit for thermocouple linearization and amplification for industrial IoT devices

A compact size signal conditioning circuit for thermocouple ...

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Roedunet International Conference (RoEduNet)

作者： Dumitru Cristian Trancă Daniel Rosner Adrian Surpăţeanu Miroljub T. Pešić Automatic Control and Computer Science Faculty University Politehnica of Bucharest Faculty of Electronic Engineering University of Niš Serbia

As the Industrial Internet of Things evolves, ever more data acquisition devices are integrated inside factories, silos, agriculture facilities, industrial facilities, cars and many other applications. One of the most common measured parameter, that also creates the most problems in specific applications, is temperature. There is an abundance of analog temperature transducers, available for engineers and researchers, with varying precision, temperature range, linearity, power consumption, and cost. Besides invasive temperature sensors and transducers, in recent years microwave based temperature measurement methods have been developed. The current paper presents one method of reading thermocouples without the need of a high resolution ADC or digital calculation of complex polynomial functions. The article is focused on the linearization circuit, measurement results, errors and presents a short application using NI WSN nodes as part of IIoT.

关键词： Temperature measurement Temperature sensors Voltage measurement Junctions Temperature distribution Measurement uncertainty

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