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Found 6289 publications

Ecosystems of industry 4.0 - Combining technology and human power

Eunika Mercier-Laurent Cristina Rosaria Monsone

Publication Name: 11th International Conference on Management of Digital Ecosystems Medes 2019

Publication Date: 2019-11-12

Volume: Unknown

Issue: Unknown

Page Range: 115-119

Description:

IoT, digital twins, co-bots, drones, Artificial Intelligence, clouds are the system components of Industry 4.0, this trend born to face hypercompetition. It aims in renewing processes using available technologies and impacts the whole industry ecosystems including people, information processing and business models. While most of research works focus on technology, the industrial systems objectives are economic with recent environmental concern. This paper provides an overview of Industry 4.0 and discuss the importance of considering knowledge, people and planet in massive digitalization. It focus on the role of digital twins in transforming industry, presented in the context of ecosystems and discuss the role of Knowledge Innovation, environmental impact and the place of the humans in I4.0.

Open Access: Yes

DOI: 10.1145/3297662.3365793

Key Aspects on the Biology, Ecology and Impacts of Johnsongrass [Sorghum halepense (L.) Pers] and the Role of Glyphosate and Non-Chemical Alternative Practices for the Management of This Weed in Europe

Ilias S. Travlos Gerasimos Peteinatos Panagiotis J. Kanatas Goran Malidza Gabor Kukorelli Jose M. Montull Nikolina Cheimona Stavros Zannopoulos Nikolaos Antonopoulos M. N. Dogan

Publication Name: Agronomy

Publication Date: 2019-11-05

Volume: 9

Issue: 11

Page Range: Unknown

Description:

Sorghum halepense (L.) Pers is a common and noxious worldwide weed of increasing distribution in many European countries. In the present review, information on the biology, ecology, agricultural, economic and environmental impact of johnsongrass is given, and the current status of this weed in Europe is discussed. Furthermore, special attention is given to the important role of field trials using glyphosate to control weeds in arable and perennial crops in many European countries. Some of the factors which affect control efficacy and should be taken into account are also discussed. Finally, several non-chemical alternative methods (cultural, mechanical, thermal, biological, etc.) for johnsongrass management are also presented. The adoption of integrated weed management (IWM) techniques such as glyphosate use, crop rotation, and deep tillage is strongly recommended to control plant species that originate from both seed and rhizomes.

Open Access: Yes

DOI: 10.3390/agronomy9110717

Enhancement of pure-pursuit path-tracking algorithm with multi-goal selection

Csaba Hajdu Ernö Horváth Péter Korös

Publication Name: Gpmc 2019 1st IEEE International Conference on Gridding and Polytope Based Modeling and Control Proceedings

Publication Date: 2019-11-01

Volume: Unknown

Issue: Unknown

Page Range: 13-18

Description:

In this paper, we present an enhancement to the popular pure-pursuit algorithm, widely used in robotics and automotive applications. The original algorithm is simple and straightforward as it depends only on the very basic attributes of the kinematic model of the target mechanical system. The algorithm is usually tuned by choosing a look-ahead distance of points from the reference trajectory. On the other hand, pure-pursuit suffers from considerable tuning weaknesses highly attributed to improper selection of look-ahead distance, resulting in poor tracking performance. Our method proposes the dynamic change of lookahead distance based on selecting multiple-goal points, thus aiming a curvature fitting more the reference trajectory. Our work was motivated by an ongoing robotics and autonomous vehicle research project at our university.

Open Access: Yes

DOI: 10.1109/GPMC48183.2019.9106958

TP-based Control of the Crane Model

Miklós Kuczmann

Publication Name: Gpmc 2019 1st IEEE International Conference on Gridding and Polytope Based Modeling and Control Proceedings

Publication Date: 2019-11-01

Volume: Unknown

Issue: Unknown

Page Range: 9-12

Description:

Tensor product based model representation is a numerical technique to approximate the behavior of nonlinear systems. Based on the tensor product transformation a linear matrix inequality based controller design scheme can be applied efficiently. This framework is presented in the paper through the model of gantry crane.

Open Access: Yes

DOI: 10.1109/GPMC48183.2019.9106954

Multiphysics analysis of automotive PMaSynRM

Gergely Szabo Attila Nyitrai Sándor Horvath Istvan Vajda

Publication Name: Cando EPE 2019 Proceedings IEEE 2nd International Conference and Workshop in Obuda on Electrical and Power Engineering

Publication Date: 2019-11-01

Volume: Unknown

Issue: Unknown

Page Range: 67-71

Description:

The purpose of a Multiphysics Analysis is the modeling of complex physical systems where different kinds of physical effects act simultaneously. We would like to predict the behavior of a machine with the least number of neglected effects. Nowadays more Finite Element Method (FEM) based simulation software are readily available to study the physics of an electrical machine. Although, there are no standardized solutions that would fit every kind of electric motor analysis. In this paper we will present a method how to go through step-by-step on the different physical phenomena of an electrical machine and therefore analyze the different design and working aspects.

Open Access: Yes

DOI: 10.1109/CANDO-EPE47959.2019.9111009

A Grid-Based Model for Parameter Initialization in Non-Convex Optimization Tasks

Adam B. Csapo

Publication Name: Gpmc 2019 1st IEEE International Conference on Gridding and Polytope Based Modeling and Control Proceedings

Publication Date: 2019-11-01

Volume: Unknown

Issue: Unknown

Page Range: 19-23

Description:

The role of nature versus nurture, and the relative strengths and weaknesses of evolutionary and gradient-based approaches have been the subject of fiery debate in the AI community for quite some time. As outlined in the paper, these approaches have unique advantages and at the same time by no means exhaust the list of tools necessary for designing artificially intelligent behavior. In particular, the importance of parameter initialization is often underestimated, as demonstrated by the widely publicized 'lottery ticket hypothesis'. Following a discussion on why parameter initialization seems to be more important than previously acknowledged, a grid-based model is introduced which combines certain characteristics of evolutionary and gradient-based approaches with the goal of supporting robust parameter initialization.

Open Access: Yes

DOI: 10.1109/GPMC48183.2019.9106960

Tensor Product Transformation based Modelling of Induction Machine

Miklós Kuczmann Zoltan Nemeth

Publication Name: Gpmc 2019 1st IEEE International Conference on Gridding and Polytope Based Modeling and Control Proceedings

Publication Date: 2019-11-01

Volume: Unknown

Issue: Unknown

Page Range: 31-32

Description:

State-space modelling theory is still a current topic of electrical machines in drive control. Induction machines can be described by nonlinear model leading to linear parameter varying (LPV) state-space model. In order to solve the above-mentioned highly nonlinear problem, Tensor Product (TP) transformation has been chosen. Big advantage of TP modelling are the short simulation time in MATLAB and speed controller can be designed easily.

Open Access: Yes

DOI: 10.1109/GPMC48183.2019.9106955

Milestones in Developping the TP Model Transformation

Péter Baranyi

Publication Name: Gpmc 2019 1st IEEE International Conference on Gridding and Polytope Based Modeling and Control Proceedings

Publication Date: 2019-11-01

Volume: Unknown

Issue: Unknown

Page Range: 25-29

Description:

The goal of the paper is to introduce the key variants of the TP model transformation and to provide a practical and theoretical overview of this framework.

Open Access: Yes

DOI: 10.1109/GPMC48183.2019.9106959

Effect of gibberellins on growth and biochemical constituents in Chlorella minutissima (Trebouxiophyceae)

J. Gruz Miroslav Strnad Danuše Tarkowská Vince Ördög Wendy A. Stirk Johannes van Staden

Publication Name: South African Journal of Botany

Publication Date: 2019-11-01

Volume: 126

Issue: Unknown

Page Range: 92-98

Description:

A hormonal network regulates growth processes and stress responses in vascular plants. There is evidence for a similar hormonal network in microalgae. This study investigated the effect of exogenous gibberellins (GAs) on Chlorella minutissima Fott et Nováková growth and biochemical composition. Two bioactive GAs i.e. GA3 and GA4 were applied at 10−8–10−5 M. Growth was monitored until cultures were harvested on day 7 when in an exponential growth phase. Primary metabolites (protein, chlorophyll and carotenoids) were quantified and endogenous GAs and phenolic acids were identified and quantified. GA3 had little beneficial effect on growth in C. minutissima while GA4 was inhibitory. GA application had little effect on the protein, chlorophyll and total carotenoid content. Analysis of the GA content suggested that GA3 was not readily taken up by the cells while GA4 was absorbed but not further metabolised. This high accumulation of GA4 could account for its inhibitory effect. Three phenolics acids were detected in C. minutissima i.e. p-hydroxybenzoic acid > salicylic acid > protocatechuic acid. Their concentrations were not affected by GA treatments or GA-type. The physiological role of GAs in microalgae is still unclear and further studies are required to gain clearer insight into uptake rates, metabolism and function.

Open Access: Yes

DOI: 10.1016/j.sajb.2019.05.001