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Found 6374 publications

Correlation between permanent deformation-related performance parameters of asphalt concrete mixes and binders

Kálmán Adorjányi Peter Fuleki

Publication Name: Central European Journal of Engineering

Publication Date: 2013-01-01

Volume: 3

Issue: 3

Page Range: 534-540

Description:

This paper examines methods to predict the performance of hot asphalt concrete mixes based on performance parameters of binders. Specifically, relationships between binder parameters determined from multiple stress creep and recovery tests were correlated to the creep parameters of hot asphalt concrete mixes obtained from cyclic load compression testing. For the determination of creep parameters, a modified expression of the creep curve is proposed to cover the entire spectrum of permanent deformation; including the tertiary creep phase. Non-recoverable compliance, unrecovered strain, and recoverable strain of binders show good correlation to creep parameters of hot asphalt concrete mixes such as creep rate and high temperature performance ratio. Additionally, unrecovered strain and non-recoverable compliance of binders correlates well with mean rut depth of asphalt concrete mixes. However, no correlation has been detected between the difference in non-recoverable compliance of binders and permanent deformation parameters of asphalt concrete mixes.

Open Access: Yes

DOI: 10.2478/s13531-012-0073-6

Dietary inclusion of defatted silkworm (Bombyx mori L.) pupa meal in broiler chickens: phase feeding effects on nutritional and sensory meat quality

Eszter Zsédely Marco Cullere Yazavinder Singh Antonella Dalle Zotte Bianca Palumbo Barbara Contiero

Publication Name: Poultry Science

Publication Date: 2024-07-01

Volume: 103

Issue: 7

Page Range: Unknown

Description:

The present experiment was conducted to test the effect of a 4% defatted silkworm (Bombyx mori) pupae meal (SWM) incorporation into chickens’ diets at different growth phases on meat quality characteristics and sensory traits. Ninety ROSS 308 day-old male broiler chickens were randomly assigned to 3 dietary groups, with 5 replicated pens/diet: the first group received a control (C) diet throughout the growing period of 42 d, the second group received a diet with 4% SWM (SWM1) during the starter phase (1–10 d) and the C diet up to slaughter, whereas the third group was fed the C diet during the starter phase and 4% SWM during the grower and finisher phases (SWM2). Diets were isonitrogenous and isoenergy, and birds had free access to feed and water throughout the experimental trial. At 42 d of age, 15 chickens/treatment were slaughtered at a commercial abattoir. Fatty acid (FA) and amino acid (AA) profiles and contents of meat, as well as its oxidative status, were determined in both breast and leg meat cuts. Also, a descriptive sensory analysis was performed on breast meat by trained panelists. Results highlighted that the SWM2 treatment increased the n-3 proportion and content in both breast and leg meat, thereby improving the omega-6/omega-3 (n-6/n-3) ratio in both cuts (P < 0.001). However, the dietary treatment had no significant effect on the oxidative status of either breast or leg meat (P > 0.05). The SWM had a limited impact on overall sensory traits of breast meat, but it contributed to improve meat tenderness in SWM-fed chickens (P < 0.01). Furthermore, SWM1 meat exhibited higher juiciness (P < 0.05) and off flavor intensity (P < 0.05) compared to the control meat. Overall, the present experiment indicated that defatted SWM holds promise as an alternative ingredient in chicken rations, ensuring satisfactory meat quality. Furthermore, administering SWM during the grower-finisher phase demonstrated beneficial effects on meat healthiness, ultimately enhancing n-3 fatty acids content and reducing the n-6/n-3 ratio.

Open Access: Yes

DOI: 10.1016/j.psj.2024.103812

Advanced Digital and Artificial Intelligence-Based Solutions for Interactive, Collaborative Learning Support

Gábor Pörzse Krisztina Zimányi Dávid Sik Zoltan Biczo Eniko Nagy Gyorgy Molnar

Publication Name: Cando EPE 2024 Proceedings IEEE 7th International Conference and Workshop Obuda on Electrical and Power Engineering

Publication Date: 2024-01-01

Volume: Unknown

Issue: Unknown

Page Range: 103-107

Description:

In the field of education, the effectiveness of interactive and collaborative learning support is significantly enhanced by advanced digital and artificial intelligence (AI)- based solutions. These tools are revolutionising not only teaching methods but also the learning experience. The use of AI enables a better understanding of learners' individual needs and learning styles and the design of personalised learning programmes. For example, adaptive learning systems analyse learner performance in real time and provide immediate feedback, as well as automatically adapting curricula according to students' progress. Interactive digital platforms allow students to collaborate, even from geographically distant locations. Such platforms often include video-conferencing features, collaborative workspaces and real-time collaboration tools to facilitate collaborative project work and group task solving. AI-based chatbots and virtual assistants provide ongoing support, answering learners' questions and helping them to navigate the course material. Gamification is also becoming increasingly important, integrating playful elements into the learning process to motivate and engage learners. AI has the ability to track students' progress in games and provide them with personalised challenges. Through data analytics, teachers can gain detailed insights into student progress and provide more targeted support. In this article, we explore the methodological and technological possibilities supported by modern digital interactive tools to support collaborative, adaptive learning processes. In a nutshell, we also refer to artificial intelligence-based possibilities.

Open Access: Yes

DOI: 10.1109/CANDO-EPE65072.2024.10772869

Rediscovering Visualization - Towards an up-to-date conceptual framework for promoting learning of Mathematics in engineering education

No authors available

Publication Name: SEFI 47th Annual Conference: Varietas Delectat... Complexity is the New Normality, Proceedings

Publication Date: 2020-01-01

Volume:

Issue:

Page Range: 667-679

Description:

Students in engineering education need tools to gain insight into the ever-increasing complexity of engineering problems and possible solutions in the 21st century (e.g. seeking the reasons for the recent bridge-collapse in Genova). One of these tools could be the utilization of mathematical knowledge and skills - but many engineering students are undermotivated in studying mathematics. Not only Comenius but our digital age also prefers visualization over textual comprehension, as the Net generation is visually literate. Newer interdisciplinary research findings in brain functions and brain maturation are worth to be integrated into the pedagogy of teaching mathematics to engineers. Methodologically, in order to improve the quality of teaching Mathematics in engineering education at a Hungarian university, both findings in brain-research as well as theories of adult learning have been analysed from the perspective of visualization. The other direction of the work was focused on different types of visualization in Mathematics (according to Guzman), particularly in textbooks for engineering students. Ten textbooks, (among them the newly developed „Mathematics 1” at the Széchenyi István University), available both in print and online in Hungary have been compared from visual aspects. The current Curriculum of the subject „Mathematics 1” has also been analyzed from visual aspects. Findings show the need for a wider variety of visualization. Systematically detailing all of the above-mentioned perspectives and findings of data-processing contribute to developing an up-to-date conceptual framework for improving the quality of teaching Mathematics in engineering education at a Hungarian university, and it might be useful for other universities as well.

Open Access: No

DOI: DOI not available

VARIANCE AND DEVIATIONS IN THE BUDGETS OF REGIONAL ENTERPRISES AS AN ELEMENT OF RISK MEASUREMENT IN THE PROBABILISTIC MODEL

Yuriy Bilan Łukasz Kuźmiński Tomasz Norek Dalia Streimikiene Marcin Rabe Zdzisław Kes Agnieszka Lopatka Katarzyna Widera

Publication Name: Romanian Journal of Economic Forecasting

Publication Date: 2024-01-01

Volume: 27

Issue: 3

Page Range: 120-139

Description:

The aim of this article is to develop models that can measure probabilistic budget volatility risk in a manner that is not dependent on the type of cost or financing unit. Budgets are essential tools in facilitating the management process of any organization, while budget control helps optimize resource allocation and enhance operational efficiency. Using the methodology of budget deviation analysis can significantly improve the management of organizational units. However, the authors identify a research gap in terms of both methodology and application when it comes to analyzing the risk of budget variances. To address this, the authors develop models based on the theory of extreme values. The models can determine the deviation level for a specific probability level and estimate the limit level of deviation for assumed probabilities. These models can be used to holistically evaluate the level of budget implementation in the enterprise, compare the quality of budget implementation overtime and across units, and identify materiality limits of budget variances. To validate the models, empirical data from the budget control system of a major European city university was used. Empirical distributions obtained from the data were used to determine budget variances that indicate the level of deviation for a given probability level.

Open Access: Yes

DOI: DOI not available

Parameterization and concept optimization of FCM models

Miklós F. Hatwágner Ĺaszĺo T. Ḱoczy

Publication Name: IEEE International Conference on Fuzzy Systems

Publication Date: 2015-11-25

Volume: 2015-November

Issue: Unknown

Page Range: Unknown

Description:

Fuzzy Cognitive Maps (FCM) are widely used to model and analyze the behavior of complex multicomponent systems. The application of FCM might be non-trivial in some specific context, however. Two rather general problems of the application of FCM and respective solutions are described in this paper. The first problem is as follows: In some cases the concept values obtained at the end of an FCM simulation are very similar. If this occurs, the order of concepts, thus their relative importance cannot well defined. The second problem is to select the appropriate concepts and to define their number. The concepts are given by human experts, but the selection of the appropriate concepts which help to reach the required accuracy of the model, while keeping the model as simple as possible is a difficult task. This paper deals with these two (connected) problems and proposes solutions for them. The proposed solution for the first problem is to choose the optimal λ parameter value in the threshold function, the one for the second is to apply a 'state reduction method' based on fuzzy tolerance relations presented in the paper.

Open Access: Yes

DOI: 10.1109/FUZZ-IEEE.2015.7337888

Method for benchmarking single board computers for building a mini supercomputer for simulation of telecommunication systems

Sándor Répás Gábor Lencse

Publication Name: 2015 38th International Conference on Telecommunications and Signal Processing Tsp 2015

Publication Date: 2015-10-09

Volume: Unknown

Issue: Unknown

Page Range: 246-251

Description:

Parallel Discrete Event Simulation (PDES) with the conservative synchronization method can be efficiently used for the performance analysis of telecommunication systems because of their good lookahead properties. For PDES, a cost effective execution platform may be built by using single board computers (SBCs), which offer relatively high computation capacity compared to their price or power consumption and especially to the space they take up. A benchmarking method is proposed and its operation is demonstrated by benchmarking six different SBCs, namely Banana Pi, Beaglebone Black, Cubieboard2, Odroid-U3+, Radxa Rock Lite and Raspberry Pi Model B+. Their benchmarking results are compared to find out which one should be used for building a mini supercomputer for parallel discrete-event simulation of telecommunication systems. The SBCs are also used to build a heterogeneous cluster and the performance of the cluster is tested, too.

Open Access: Yes

DOI: 10.1109/TSP.2015.7296261

An outline of some human factors contributing to mathability research

Adam Csapo Brigitta Szi

Publication Name: 5th IEEE International Conference on Cognitive Infocommunications Coginfocom 2014 Proceedings

Publication Date: 2014-01-23

Volume: Unknown

Issue: Unknown

Page Range: 583-586

Description:

Mathability is a branch of CogInfoCom that focuses on an abstraction and generalization of human mathematical abilities and capabilities in the context of information and communications technologies. In this paper, we aim to describe the various factors which influence human mathematical abilities, as well as how they can be assessed, with the goal of supporting ICT engineering design involving mathability.

Open Access: Yes

DOI: 10.1109/CogInfoCom.2014.7020411

Preface

Li Da Xu Maria Raffai Petr Doucek Niina Maarit Novak Zhuo Zou Li Rong Zheng A. Min Tjoa

Publication Name: Lecture Notes in Business Information Processing

Publication Date: 2018-01-01

Volume: 310

Issue: Unknown

Page Range: VI

Description:

No description provided

Open Access: Yes

DOI: DOI not available