{"title":"Managing Negative Emotions Caused by Self-Driving","authors":"Dalma Zilahy, Gyula Mester","doi":"10.7906/indecs.21.4.4","DOIUrl":"https://doi.org/10.7906/indecs.21.4.4","url":null,"abstract":"","PeriodicalId":54126,"journal":{"name":"Interdisciplinary Description of Complex Systems","volume":"109 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135954632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nithin Kumar, Nagarathna L. Vijay Kumar, Francesco Flammini
{"title":"A Comparative Performance Evaluation of Various Classification Models for Detection and Classification of Flying Insects","authors":"Nithin Kumar, Nagarathna L. Vijay Kumar, Francesco Flammini","doi":"10.7906/indecs.21.1.5","DOIUrl":"https://doi.org/10.7906/indecs.21.1.5","url":null,"abstract":"Agriculture has long been a part of Indian culture. It is known as the Indian economy’s backbone. Agriculture contributes to 17 % of the Indian GDP, but still, farmers confront several problems in growing their crops, one among them is insect pests. “Computational Entomology” is a branch of data mining that assists farmers in overcoming the challenges of damaging insect pests by utilizing appropriate sensors and methodologies for pest classification and application of the pesticides at the right time. The authors used various machine learning and deep learning algorithms to classify insects and examine the influence of classification performance on multiple classes of insects often found in Indian agricultural fields with varying numbers of data and classification models. The study found that proposed CNN based classification model performs better than other classification models in insect categorization, with a classification accuracy of 94,6 % . The research work done till now in the field of computational entomology deals with the insects grown in laboratory colonies or well-developed insects grown in the same geographic region and condition, but we have evaluated the performance of different classification models using random images available over the internet to select the well-suited classification model to classify flying insects . Applications with precise insect classification using machine learning and deep learning algorithms would have significant implications for entomological research. It is necessary to develop an automated insect classification techniques to provide a foundation for future research in the field of computational entomology","PeriodicalId":54126,"journal":{"name":"Interdisciplinary Description of Complex Systems","volume":"43 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80837978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Inequality in E-Learning In European Union Countries: Role of Gender, Education and Urban Development","authors":"Berislav Žmuk, Fayyaz Hussain Qureshi, Sarwar Khawaja","doi":"10.7906/indecs.21.5.2","DOIUrl":"https://doi.org/10.7906/indecs.21.5.2","url":null,"abstract":"","PeriodicalId":54126,"journal":{"name":"Interdisciplinary Description of Complex Systems","volume":"2014 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135105916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Maja Dugandžić, Ksenija Božinović, S. Ceci, D. Majhen, D. Nestić, M. Košiček
{"title":"Hybrid Stem Intervention as New Post-Pandemic Approach to Motivate Students to Stem","authors":"Maja Dugandžić, Ksenija Božinović, S. Ceci, D. Majhen, D. Nestić, M. Košiček","doi":"10.7906/indecs.21.3.6","DOIUrl":"https://doi.org/10.7906/indecs.21.3.6","url":null,"abstract":"There has long been a struggle over how to increase student interest in careers in STEM and meet the labour market’s need for specialised knowledge and skills. The long-standing debate at the EU level about the role of formal, informal, and non-formal education in meeting these challenges has not yet reached a clear conclusion. In the last decade, there has been a significant increase in the number of STEM programmes offered by various non-governmental organisations in Croatia. These interventions are often localised and have limited social impact, but there is a strong willingness to create an environment for their greater inclusion in the formal education system, triggered by comprehensive curriculum reform in Croatia. Motivation, especially intrinsic motivation, is a crucial driving force in our lives. In our pilot study, conducted with 6 th grade elementary students, we aimed to explore the extent to which STEM interventions encourage students to learn more about the topic and whether it is possible to incorporate lessons learned from the pandemic into the design of future interventions. Our results show that there is no significant difference in student motivation after a 45-minute whole-class interactive intervention between face-to-face and virtual delivery. Although the intervention was entertaining, students perceived the science as interesting and useful rather than entertaining. Considering that students have positive attitudes toward Nature as a school subject, an early intervention with students at this age could be useful in maintaining their interest and preventing a decline in interest later in life. This finding is particularly important in the context of the transformation of the Croatian elementary school system into a “whole-day school”, which provides room for incorporating this type of intervention into a regular school system.","PeriodicalId":54126,"journal":{"name":"Interdisciplinary Description of Complex Systems","volume":"15 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88454913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Review of Dace-Kriging Metamodel","authors":"M. Balaban","doi":"10.7906/indecs.21.3.8","DOIUrl":"https://doi.org/10.7906/indecs.21.3.8","url":null,"abstract":"This paper presents a conceptual review of the kriging metamodel that is introduced for the design and analysis of computer experiments (DACE). Kriging is a statistical interpolation method to build an approximation model from a set of evaluations of the function at a finite set of points. The method originally developed for geostatistics, and it is now widely used in the domains of spatial data analysis and computer experiments analysis. The main difference between these domains the dimensionality of the problems. Geostatistics and spatial data are mainly deal with the coordinates. Computer experiments, simulation outputs and other engineering problems have multidimensional input variables. With this study, it is aimed to examine the limitations of the prediction performance of the DACE-kriging metamodel. The result of the study shows that the regression part of the DACE-kriging metamodel is the most important part to develop an approximation, and if there is a spatial relationship of the residuals, kriging part will also contribute to the improvement of the prediction performance. Otherwise, kriging will have no contribution to the DACE-kriging metamodel, and even worsen the prediction performance. If the regression part perfectly fit to the observations, the residual will have poor spatial relationship and the kriging part will be meaningless anymore.","PeriodicalId":54126,"journal":{"name":"Interdisciplinary Description of Complex Systems","volume":"343 ","pages":""},"PeriodicalIF":0.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72429101","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Collapsing the Complicated/Complex Distinction: It’s Complexity all the Way Down","authors":"R. van der Merwe","doi":"10.7906/indecs.21.1.1","DOIUrl":"https://doi.org/10.7906/indecs.21.1.1","url":null,"abstract":"Several complexity theorists draw a sharp and ontologically robust distinction between (merely) complicated systems and (genuinely) complex systems. I argue that this distinction does not hold. Upon fine-grained analysis, ostensibly complicated systems turn out to be complex systems. The purported boundary between the complicated and the complex appears to be vague rather than sharp. Systems are complex by degrees.","PeriodicalId":54126,"journal":{"name":"Interdisciplinary Description of Complex Systems","volume":"13 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74124616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Cyber Security Analysis of Smart Buildings from a Cyber Security Architecture Point of View","authors":"Barnabás Sándor, Zóltan Rajnai","doi":"10.7906/indecs.21.2.2","DOIUrl":"https://doi.org/10.7906/indecs.21.2.2","url":null,"abstract":"","PeriodicalId":54126,"journal":{"name":"Interdisciplinary Description of Complex Systems","volume":"70 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77394443","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Methodological and Health Reasons for Unsuccessful Biometric Identification","authors":"Andras Pallagi, Alíz Persely","doi":"10.7906/indecs.21.2.10","DOIUrl":"https://doi.org/10.7906/indecs.21.2.10","url":null,"abstract":"","PeriodicalId":54126,"journal":{"name":"Interdisciplinary Description of Complex Systems","volume":"6 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76439546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Role of Social Engineering in the Energy Balance of Systems","authors":"Edina Albininé Budavári, Attila Albini, G. Mester","doi":"10.7906/indecs.21.2.5","DOIUrl":"https://doi.org/10.7906/indecs.21.2.5","url":null,"abstract":"","PeriodicalId":54126,"journal":{"name":"Interdisciplinary Description of Complex Systems","volume":"20 1","pages":""},"PeriodicalIF":0.5,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84261028","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Marjan I. Bojadjiev, Marjana Vaneva, Ana Tomovska Misoska, Ivona Mileva, Marija Andonova
{"title":"The Ninth Dimension of National Culture: Unpacking Cross-Cultural Communication Styles","authors":"Marjan I. Bojadjiev, Marjana Vaneva, Ana Tomovska Misoska, Ivona Mileva, Marija Andonova","doi":"10.7906/indecs.21.5.4","DOIUrl":"https://doi.org/10.7906/indecs.21.5.4","url":null,"abstract":"","PeriodicalId":54126,"journal":{"name":"Interdisciplinary Description of Complex Systems","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135105915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}