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Found 6374 publications

Determining an optimal subdivision of gene transfer partitions

No authors available

Publication Name: Proceedings of the 9th WSEAS International Conference on Applied Computer and Applied Computational Science, ACACOS '10

Publication Date: 2010-12-01

Volume:

Issue:

Page Range: 202-207

Description:

Bacterial memetic algorithms are widely used on discrete combinatorial problems, which are essential in the field of logistics and forwarding, such as the well known Traveling Salesman Problem. The original Bacterial Evolutionary Algorithm proposed by Nawa and Furuhashi [5] has a predefined set of operators such as bacterial mutation and gene transfer also known as infection. The traditional bacterial infection operator is proven to be far from optimal. The authors suggest an alternative gene transfer operator that is applied on the metric Traveling Salesman Problem [9]. This alternative infection algorithm has superior rate of convergence while reducing the risk of getting stuck in a local optima.

Open Access: No

DOI: DOI not available

Fuzzy communication in collaboration of intelligent agents

No authors available

Publication Name: Proceedings of the 9th WSEAS International Conference on Applied Computer and Applied Computational Science, ACACOS '10

Publication Date: 2010-12-01

Volume:

Issue:

Page Range: 208-214

Description:

This paper presents some examples for fuzzy communication and intention guessing from the real life to the cooperation of intelligent mobile robots. In a special experimental environment a new communication approach is investigated for intelligent cooperation of autonomous mobile robots. Effective, fast and compact communication is one of the most important cornerstones of a high-end cooperating system. In this paper we propose a fuzzy communication system where the codebooks are built up by fuzzy signatures. We use cooperating autonomous mobile robots to solve some logistic problems.

Open Access: No

DOI: DOI not available

Comparison of self-reported and observed road safety performance indicators

Tamás Berta Diána Henézi Péter Holló

Publication Name: Periodica Polytechnica Transportation Engineering

Publication Date: 2018-06-05

Volume: 46

Issue: 3

Page Range: 117-121

Description:

The first concept of road safety performance indicators was published by European Transport Safety Council, Brussels in 2001. Hungary has long and reliable time series of safety belt wearing and child safety seat usage rates in passenger cars. These rates are based on real roadside observations and representative sample, meeting the requirements of international road accident databases. The methodology of the data collection has been further developed during the recent years, but we paid attention to the possibility of comparison with the earlier data and consistent analysis of time series. Although the roadside observations could not have been organized in each year, the trends can be seen relatively well. Our initial hypothesis was that the self-reported data always show a bit "better" picture about the driving behaviour than the observed ones, since the people are not sure that their data will be handled in an anonym way. Based on these results we can say that the ESRA results are relatively good estimations of the real safety belt wearing rates.

Open Access: Yes

DOI: 10.3311/PPtr.12127

Learning and working: The impact of the 'double status position' on the labour market entry process of graduates in CEE countries

Ellu Saar Péter Róbert

Publication Name: European Sociological Review

Publication Date: 2012-12-01

Volume: 28

Issue: 6

Page Range: 742-754

Description:

The school to work transition in Central and Eastern Europe is a highlighted research topic because of the market transformation. The article investigates graduates from tertiary education from the perspective of their human capital investments, labelled as 'double status position' when students study and work at the same time and acquire work experience during their studies. The article distinguishes two forms of this activity: study-related and non-study-related work. Data used in the article come from recently available data sets, which surveyed respondents who had graduated from tertiary education five years prior to the projects. A broad range of Central and Eastern European countries are analysed in this study. The data contain retrospective information on studies, work activities undertaken while studying, as well as on parental education. Two research questions are studied in the article. First, the salience of the double status position is compared. Second, the influence of work activity during study on entry into the labour force is investigated using two dependent variables: the length of time graduates needed to find a job and the quality of the first job in terms of a good match between education and work. Multivariate regression models are applied to study the research questions. Results reveal that the occurrence of double status positions for graduates is in line with institutional transformation, and with the deregulation of the tertiary education system and the labour market. The impact of the acquired work experience also varies by country and depends on institutional and individual features. © 2012 The Author 2012.

Open Access: Yes

DOI: 10.1093/esr/jcr091

Man-machine cooperation without explicit communication

No authors available

Publication Name: 2010 World Automation Congress, WAC 2010

Publication Date: 2010-12-01

Volume:

Issue:

Page Range: Unknown

Description:

This paper presents a novel method for control cooperation between human and robots without any explicit communication line. We have proposed a fuzzy communication philosophy and implementation technique, where the code books are built up by fuzzy signatures. Fuzzy signatures are used as complex state description method for intention guessing and action selection. Robots cooperation means also to define the commune task. In order to understand their cooperation the robots must have complete knowledge about all possible states of the work or to understand the context by extract useful information from observation. Present paper focus on the second possibility. We propose a strategy of information extraction and context understanding based on an original data structure, the fuzzy signature and on a priori knowledge, the robot codebook. The paper starts by presenting the concept of the fuzzy signature and exemplify the idea of cooperation by context understanding. © 2010 TSI Press.

Open Access: No

DOI: DOI not available

Hierarchical fuzzy system construction applying genetic and bacterial programming algorithms with expression tree building restrictions

No authors available

Publication Name: 2010 World Automation Congress, WAC 2010

Publication Date: 2010-12-01

Volume:

Issue:

Page Range: Unknown

Description:

In this paper various restrictions are proposed in the construction of hierarchical fuzzy rule bases by using Genetic and Bacterial Programming algorithms in order to model black box systems defined by input-output pairs, i.e. to solve supervised machine learning problems. The properties (learning speed, accuracy) of the established systems are observed based on simulation results and they are compared to each other. © 2010 TSI Press.

Open Access: No

DOI: DOI not available

Analysis of early warning signal of land degradation risk based on time series of remote sensing data

Mohsen Hosseinalizadeh Hamid Reza Pourghasemi Narges Kariminejad Abdolhossein Boali Majid Movahedi Rad Vahid Shafaie

Publication Name: Bio Web of Conferences

Publication Date: 2024-08-23

Volume: 125

Issue: Unknown

Page Range: Unknown

Description:

This study explores the spatio-temporal dynamics of the Normalized Difference Vegetation Index (NDVI) to detect early signs of land degradation. Utilizing high-resolution NDVI data from the Google Earth Engine, spanning from 2004 to 2023 with a 30-meter resolution, this research analyzes monthly variations. To illustrate these dynamics, the study focuses on Sabzevar County, located in northeastern Iran, which extends over 7,217 km2and is approximately 220 kilometers distant from Mashhad. Validation of the NDVI data was performed using field observations from strategically located vegetation plots. One square meter plots were systematically established along 100-meter transects (10 transects in total), where the vegetation coverage in each plot was quantitatively assessed by experts. Comprehensive statistical analysis incorporated Kendall's tie test, alongside measurements of autocorrelation, coefficient of variation, and standard deviation, using R software to assess the trends and intensities of NDVI changes. The findings revealed a critical breakpoint in 2020, with increases in all three statistical indices—autocorrelation 0.82, coefficient of variation 0.65, and standard deviation 0.58—indicative of accelerating degradation prior to this year. Furthermore, the intensity of NDVI changes varied significantly across the study area, ranging from 0.05 in central and northern regions to 0.76 in the western parts. This research underscores the value of integrating field data with remote sensing technology to provide a robust analytical tool for early detection of land degradation. This method enables precise, timely assessment and proactive management of vulnerable ecosystems, particularly in arid regions.

Open Access: Yes

DOI: 10.1051/bioconf/202412501011

The Carbon Footprint of Online vs. In-Person Learning in Higher Education

Zsuzsa Szalay Artúr Szilágyi Péter Sasvári Klára Tóthné Szita Norbert Kis Orsolya Szalainé Kaczkó György Gröller Balázs Sára

Publication Name: Acta Polytechnica Hungarica

Publication Date: 2026-01-01

Volume: 23

Issue: 3

Page Range: 31-50

Description:

Our task focused on three main areas: determining the carbon footprint of university education through a university campus and identifying possible areas for emission reduction, investigating the impact of online education on the carbon footprint, identifying international practice, and developing a survey methodology to ensure comparability of results. After a comprehensive literature review, a functional unit and analysis method were defined, considering the areas responsible for carbon emissions on university campuses by scope and category. After determining the carbon footprint values of the present and a hypothetical hybrid solution, an enumeration of possible decarbonization solutions was outlined, as a conclusion of this research.

Open Access: Yes

DOI: DOI not available

Impact of the microalgae-bacteria interaction on maize (Zea mays L.) health and yield

Zoltán Molnár Tibor Janda Wogene Kabato

Publication Name: Bio Web of Conferences

Publication Date: 2024-08-23

Volume: 125

Issue: Unknown

Page Range: Unknown

Description:

Microbial biofertilizers, which include microorganisms that improve soil nutrients and make them easier to cultivate, are eco-friendly alternatives to chemical fertilisers, encouraging plant growth and supporting sustainable agriculture. The purpose of the study was to evaluate the health of crops measured by the normalized difference vegetation index (NDVI) and yield, influenced by the combination of biomass from specific cyanobacteria (MACC-612, Nostoc linckia) and plant growth promoter bacteria (PGPB). Using a factorial design in a complete randomized block configuration, four replications were performed. The experimental design included the testing of three concentrations of microalgae (untreated, 0.3 g/L N. linckia, and 1 g/L N. linckia) and two PGPBs (untreated, Azospirillum lipoferum, and Pseudomonas fluorescens). Experiments in the field were conducted for three consecutive years (2021, 2022, and 2023). The results show that the combined application of N. linckia and PGPB to soil treatment has significantly improved plant health and yield characteristics. The combined use of 0.3 g/L N. linckia and A. lipoferum has improved the health of plants (NDVI), seed count per cob, thousand-seed weight, and total yields, achieving a significant increase of yield by 1.4 fold for 2021, 1.37 fold for 2022, and 1.39 fold for 2023. These results demonstrate that applying low concentrations of N. linckia (0.3 g/L) along with A. lipoferum provide a cost-effective solution without compromising the benefits. Consequently, the integration of cyanobacteria and PGPB represents a promising approach to improve crop growth and yield while minimizing environmental impacts.

Open Access: Yes

DOI: 10.1051/bioconf/202412503004