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Found 6319 publications

Introducing the EPP house (topological space) method to solve MRP problems

Laszlo Vasa Balázs Gyenge László Kasza

Publication Name: Plos One

Publication Date: 2021-06-01

Volume: 16

Issue: 6 June

Page Range: Unknown

Description:

The problem of product and process planning analysed so far is how we can take advantage of our strategy in planning. Among the principles of manufacturing and service management concepts is that after planning demand, planning transformation is one of the key steps of integrated efficiency; it makes it possible to save costs that are not value adding and are not necessary from the customer's point of view. Currently, the methods of material requirements and capacity planning can be seen as classic solutions that are based on dependency relations between different resources, which can be dynamic in space and time. Measuring and recording capacities raise several problems in addition to the fact that our planning methods are not always satisfying. In the literature, the methods of material requirements planning or manufacturing resource planning (MRP) are not typically optimization methods, so they do not guarantee the best solution, and even if our planning methods were satisfying, several manufacturing restrictions (the time allowed, the complexity of the planning process, the lack of testing opportunities, etc.) could prevent us from reaching satisfying application. It is necessary to create a simple planning algorithm that can give the planner a greater degree of freedom and that would be simple and algorithmic in order to maintain continuous conscious control, putting an end to planning uncertainty and leading us to the best solution under the given conditions. The aim of our research is to introduce a novel, simple planning algorithm, similar to heuristic methods that eliminates the problem of defining the order quantity when applying traditional methods, which prevents us from determining in advance which method is desirable (causing unnecessary planning steps); computer- based solutions hide the causal relations of the methodology from the planner (causing unreliability uncertainty).

Open Access: Yes

DOI: 10.1371/journal.pone.0253330

Dynamic seismic analysis of bridge using response spectrum and time history method

Rajmund Kuti M. Brinissat Z. Louhibi

Publication Name: Acta Technica Jaurinensis

Publication Date: 2021-05-26

Volume: 14

Issue: 2

Page Range: 171-185

Description:

Dynamic analysis is very important to better understand the performance of structural elements of a bridge. For this purpose, a seismic analysis of an Algerian highway bridge designed with the new Algerian seismic bridge regulation (RPOA-2008) was carried out using linear and nonlinear analyses. Therefore, response spectrum, time history analyses were performed to evaluate the seismic responses of the designed bridge. The performance of the designed bridge is assessed using 10 ground motion records. The proposed methodology allows an efficient comparison of the seismic response of the bridge in terms of base shear forces, bending moment and displacements. Finally, the paper concludes with a discussion of the specific outcomes.

Open Access: Yes

DOI: 10.14513/actatechjaur.00595

Functional and environmental impacts of the use of reclaimed asphalt pavement materials and of foamed asphalt

A. Saleh László Gáspár

Publication Name: Acta Technica Jaurinensis

Publication Date: 2021-05-26

Volume: 14

Issue: 2

Page Range: 212-227

Description:

Environmental safety related to asphalt mixing plants has been a growing concern due to the high temperature of asphalt mixture production resulting in a lot of energy used and much air pollutants released. Asphalt mixtures with foamed bitumen and RAP can reduce this problem. This paper deals with their functional and environmental effects. In the paper, it was introduced that the hot mix asphalt mixtures bound by foamed bitumen and containing RAP materials provides a good workability, in comparison to “traditional” hot mix asphalt mixtures. However, producing foamed bitumen needs special technological steps before using it as asphalt binder. The use of RAP materials reduces environmental harm and construction costs, besides it preserves the limited resources of stone, sand and gravel.

Open Access: Yes

DOI: 10.14513/actatechjaur.00590

An intelligent traffic congestion detection approach based on fuzzy inference system

Miklós F. Hatwágner Gergely Mikulai Mehran Amini Ĺaszĺo T. Ḱoczy

Publication Name: Saci 2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics Proceedings

Publication Date: 2021-05-19

Volume: Unknown

Issue: Unknown

Page Range: 97-104

Description:

Traffic congestion causes significant economic and social consequences. Instant detection of vehicular traffic breakdown has a pivotal role in intelligent transportation engineering. Common traffic estimators and predictors systems need traffic observations to be classified in their binary-set-nature computation methods which are unable to be an effective base for traffic modeling, since they are defined by precise and deterministic characteristics while traffic is known to be a highly complex and nonlinear system, which may be prescribed by uncertain models containing vague properties. This study aims at applying a new fuzzy inference model for predicting the level of congestion in such heterogeneous and convoluted networks, where the paucity of accurate and real-time data can cause problems in interpreting the whole system state by conventional quantitative techniques. The proposed fuzzy inference model is based on real data extracted from Hungarian network of freeways. As input variables traffic flow and approximate capacity of each segment are considered and level of congestion is regarded as output variable. In the model, a total number of 75 rules were developed on the basis of available datasets, percentile distribution, and experts' judgments. Designed model and analyzing steps are simulated and proven by Matlab fuzzy logic toolbox. The results illustrate correlations and relationships among input variables with predicting the level of congestion based on available resources. Furthermore, performed analyses beside their tractability in dealing with ambiguity and subjectivity are aligned with intelligent traffic modeling purposes in designing traffic breakdown-related alert or early warning systems, infrastructure and services planning, and sustainability development.

Open Access: Yes

DOI: 10.1109/SACI51354.2021.9465637

Robot environment representation based on Quadtree organization of Fuzzy Signatures

Áron Ballagi Csaba Hajdu Ahmet Mehmet Karadeniz Ĺaszĺo T. Ḱoczy

Publication Name: Saci 2021 IEEE 15th International Symposium on Applied Computational Intelligence and Informatics Proceedings

Publication Date: 2021-05-19

Volume: Unknown

Issue: Unknown

Page Range: 509-514

Description:

This paper presents a novel approach to mobile robot environment representation to hold information on detected obstacles. The method is inspired by fuzzy signature-based formalism and is based on classical quadtrees as a data indexing structure. Each detected feature point is evaluated by a fuzzy-ruleset defining the presumed significance of each detected object. Feature points and their fuzzy-mapping are indexed in a classical quadtree-based fashion. During the reconstruction of the environment representation, inference is done by the traversal on the constructed tree using accumulated fuzzy-ruleset. Our goal is to use this representation format for further robotic tasks such as obstacle avoidance in a distributed computational environment.

Open Access: Yes

DOI: 10.1109/SACI51354.2021.9465566

The strategic and regulatory framework for autonomous mobility in the European Union

Judit Fazekas Gergely Deli

Publication Name: Future of Legal Europe Will We Trust in It Liber Amicorum in Honour of Wolfgang Heusel

Publication Date: 2021-05-12

Volume: Unknown

Issue: Unknown

Page Range: 223-246

Description:

A significant majority of engineering professionals think that the technical and technological achievements of the fourth industrial revolution can provide an appropriate framework for the realisation of road transport based on autonomous mobility, assuming that a suitable legal, social and infrastructural background is ensured. Artificial intelligence (AI), the technological prerequisite of autonomous mobility, along with robotics and the Internet of Things (IoT) will result in a paradigm shift in many fields of our life and of the economy (Ződi 2018), and will reshape our current idea on road transport. Autonomous mobility based on artificial intelligence will have many benefits. For example, it will promote mobility of elderly or ill people, or people who are unable or have a limited ability to drive. Environmental pollution will be reduced, cities will be more liveable, the expected economic growth and other resultant economic advantages will be significant, and the efficiency of transport will be improved. Among the benefits, the considerable improvement of road safety will be of special importance. The European Union aspires to play a globally-leading role in the introduction of connected and automated mobility, in order to realise the ambitious goal set in the White Paper of 2011 (the Roadmap to a Single European Transport Area), in particular to halve the number of road fatalities in the European Union by 2030 and to reach zero fatalities by 2050. The elimination of human errors such as driving without due care and attention, driving under the influence of alcohol or other drugs etc., which account for 93-94% of road accidents require the realisation of autonomous mobility powered by artificial intelligence.

Open Access: Yes

DOI: 10.1007/978-3-030-68253-8_11

Households’ electricity consumption in hungarian urban areas

Cecília Szigeti Judit Berkes Ferenc Bakó

Publication Name: Energies

Publication Date: 2021-05-02

Volume: 14

Issue: 10

Page Range: Unknown

Description:

The aim of this study is to examine the factors influencing the electricity consumption of urban households and to prove these with statistically significant results. The study includes 46 small and medium-sized towns in Hungary. The methodology of the study is mainly provided by a model that can be used for this purpose; however, the results obtained with the traditional regression method are compared with the results of another, more complex estimation method, the artificial neural network, which has the advantage of being able to use different types of models. The focus of our article is on methodological alignment, not necessarily the discovery of new results. Certain demographic characteristics significantly determine the energy demand of a household sector in a municipality. In this case, as the ratio of people aged 60 or over within a city rises by 1%, the urban household average energy consumption decreases by 61 kilowatt hours, and when it rises by 1%, the amount of pollutants expelled from urban households’ average energy consumption may decrease by 22.8745 kg. The research area of our paper was greatly influenced by the availability of the statistical data. The results can be used in the planning of urban developments.

Open Access: Yes

DOI: 10.3390/en14102899

Special Issue on “TP model transformation based control design theories and applications”

Yeung Yam Peter Baranyi

Publication Name: Asian Journal of Control

Publication Date: 2021-05-01

Volume: 23

Issue: 3

Page Range: 1237

Description:

No description provided

Open Access: Yes

DOI: 10.1002/asjc.2631

Cyclical inverse interpolation: An approach for the inverse interpolation of black-box models using tensor product representations

Adam B. Csapo

Publication Name: Asian Journal of Control

Publication Date: 2021-05-01

Volume: 23

Issue: 3

Page Range: 1301-1312

Description:

This paper proposes a novel approach to inverse interpolating black-box models, referred to as the cyclical inverse interpolation method (CIIM). The approach relies on the use of a multivariate surrogate function, expressed as a tensor product (TP) model, to systematically generate candidate inputs to the given black-box model with the goal of obtaining interpolated outputs. While the proposed approach is largely agnostic as to the form of this surrogate function, some of its properties, such as the semantics of its input dimensions with respect to the black box model, are constructively defined. The paper demonstrates the viability of the proposed approach both from a theoretical perspective and through numerical examples. Based on these results, it is argued that the approach can be used for the exploratory identification of black-box models that have scalar-valued outputs and can be particularly useful in working with black-box models that have a large number of inputs and exhibit highly nonlinear behavior.

Open Access: Yes

DOI: 10.1002/asjc.2490