2023 46th MIPRO ICT and Electronics Convention (MIPRO)最新文献

Comparative Analysis of Machine Learning Algorithms on Data Sets of Different Characteristics for Digital Transformation 机器学习算法在不同特征数据集上的数字化转换比较分析

2023 46th MIPRO ICT and Electronics Convention (MIPRO) Pub Date : 2023-05-22 DOI: 10.23919/MIPRO57284.2023.10159910

D. Oreški, Igor Pihir, Dunja Višnjić

{"title":"Comparative Analysis of Machine Learning Algorithms on Data Sets of Different Characteristics for Digital Transformation","authors":"D. Oreški, Igor Pihir, Dunja Višnjić","doi":"10.23919/MIPRO57284.2023.10159910","DOIUrl":"https://doi.org/10.23919/MIPRO57284.2023.10159910","url":null,"abstract":"The application scenarios for machine learning algorithms are getting more complicated as machine learning and real-world situations converge more and more. All fields of study have adopted and benefit from diverse machine learning algorithms implementation. The challenge is to determine which algorithm is best suited to solve a given problem. This problem is especially challenging in social sciences. To tackle that issue, this paper explores a group of machine learning algorithms used for predictive models’ development in social science domains of business and education. Several machine learning algorithms are applied here (algorithms of artificial neural networks, k-nearest neighbors, decision tree) along with characteristics of datasets measured by meta-features. In the empirical part of the research, algorithms are compared on the data sets using standard predictive model evaluation metrics. Data sets are extracted from the education and business domain. Research results provide insights into machine learning algorithms’ performance depending on their meta-features. Meta-features are significant predictors of machine learning algorithms’ performance in both education and business domain. Machine learning-based predictive models developed in this paper are a step forward to the acceleration of digital transformation in the education and business sector.","PeriodicalId":177983,"journal":{"name":"2023 46th MIPRO ICT and Electronics Convention (MIPRO)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115233104","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}

引用次数: 0

Empirical Analysis of the RC2 MaxSAT Algorithm RC2 MaxSAT算法的实证分析

2023 46th MIPRO ICT and Electronics Convention (MIPRO) Pub Date : 2023-05-22 DOI: 10.23919/MIPRO57284.2023.10159820

S. Kochemazov, V. Kondratiev, I. Gribanova

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MIPRO 2023 Cover Page MIPRO 2023封面

2023 46th MIPRO ICT and Electronics Convention (MIPRO) Pub Date : 2023-05-22 DOI: 10.23919/mipro57284.2023.10159979

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An Overview of State-of-the-art Solutions for Scene Text Detection 场景文本检测的最新解决方案概述

2023 46th MIPRO ICT and Electronics Convention (MIPRO) Pub Date : 2023-05-22 DOI: 10.23919/MIPRO57284.2023.10159700

Mladen Džida, Davorin Vukadin, M. Šilić, G. Delač, Klemo Vladimir

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DeShame Croatia: Student Reactions and Consequences of Online Sexual Harassment in High Schools 克罗地亚:学生对高中网络性骚扰的反应和后果

2023 46th MIPRO ICT and Electronics Convention (MIPRO) Pub Date : 2023-05-22 DOI: 10.23919/MIPRO57284.2023.10159905

Lucija Vejmelka, R. Matković, Miroslav Rajter, Tomislav Ramljak

{"title":"DeShame Croatia: Student Reactions and Consequences of Online Sexual Harassment in High Schools","authors":"Lucija Vejmelka, R. Matković, Miroslav Rajter, Tomislav Ramljak","doi":"10.23919/MIPRO57284.2023.10159905","DOIUrl":"https://doi.org/10.23919/MIPRO57284.2023.10159905","url":null,"abstract":"Online harassment and abuse present a contemporary phenomenon with potentially devastating effect on children’s lives. The aim of this paper is to explore the reactions and consequences of online sexual harassment. The data were collected within the DeShame project in Croatia in 2020. The probabilistic stratified cluster sample consisted of 2016 pupils of high schools in Croatia (53,8% M; Mean age 15,74). The results show that 20,3% of children witnessed or experienced online sexual harassment in the last year. The most occurring feeling to online sexual harassment was feeling upset (34,2%) and worried (31,1%). However, research identified group of children who didn’t want to go to school or see their friends and around every $6^{mathrm{t}mathrm{h}}$ child was worried that this incident will be mentioned again in the future that implies the shame they are feeling because of the involvement in such an event. Therefore, students choose independent problem-solving strategies. The most prevalent reaction after the incident was ignoring followed by blocking the perpetrators, seeking for the friend support or trying to speak to perpetrators or reporting to the platform. Seeking help from adults was significantly less prevalent with speaking to parents being the most salient. The results show that the prevalence of sexual harassment is high among adolescents and the future policies should build the activistic component among adolescents and cooperation to prevent the normalization of sexual harassment.","PeriodicalId":177983,"journal":{"name":"2023 46th MIPRO ICT and Electronics Convention (MIPRO)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127152848","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}

引用次数: 0

Outage Probability Determining for Wireless Systems in the Presence of Beaulieu-Xie Fading and Co-channel Interference Rayleigh Modeled 基于瑞利模型的Beaulieu-Xie衰落和同信道干扰下无线系统中断概率的确定

2023 46th MIPRO ICT and Electronics Convention (MIPRO) Pub Date : 2023-05-22 DOI: 10.23919/MIPRO57284.2023.10159907

D. Krstić, S. Suljovic, D. Gurjar, S. Yadav

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Programmable Questions in Edgar Edgar中的可编程问题

2023 46th MIPRO ICT and Electronics Convention (MIPRO) Pub Date : 2023-05-22 DOI: 10.23919/MIPRO57284.2023.10159897

I. Mekterović, Ljiljana Brkić, V. Krstic

{"title":"Programmable Questions in Edgar","authors":"I. Mekterović, Ljiljana Brkić, V. Krstic","doi":"10.23919/MIPRO57284.2023.10159897","DOIUrl":"https://doi.org/10.23919/MIPRO57284.2023.10159897","url":null,"abstract":"Automated programming assessment systems (APAS) are a valuable tool that is growing in popularity, particularly in the field of computer science education. They can provide quick and objective assessment and feedback to the programming assignments – those that receive source code as a response. Most APASs treat code as a black box and employ dynamic analysis to assess code. Dynamic analysis is straightforward, easily implemented, explainable, and works well in most situations. Edgar is a comprehensive, state of the art APAS, that has been used daily and has evolved for the past six years. This paper examines the pipeline used by Edgar to assess programming questions and presents our enhancements to the traditional dynamic analysis programmable templates and scripts. Templates enable customized question texts based on the programmable model, so that each student can receive personalized variation of the question. Personalized questions are a great way to fight potential academic dishonesty. Scripts are plugged into the assessment pipeline after the dynamic analysis and can override the default grade by examining some other aspect of the program. We also offer our thoughts on upcoming plans to include generic static analysis as we move closer to a unified assessment pipeline.","PeriodicalId":177983,"journal":{"name":"2023 46th MIPRO ICT and Electronics Convention (MIPRO)","volume":"46 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126140636","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}

引用次数: 0

Physics-Electronics Practical Work Model Accessible and Manipulable Remotely via the Web 物理-电子实用工作模型可通过网络远程访问和操作

2023 46th MIPRO ICT and Electronics Convention (MIPRO) Pub Date : 2023-05-22 DOI: 10.23919/MIPRO57284.2023.10159884

Lamine Yade, Amadou Dahirou Gueye, P. L. T. Sow, A. Ndiaye

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Towards Improving Online Security Awareness Skills with Phishing and Spoofing Labs 通过网络钓鱼和欺骗实验室提高在线安全意识技能

2023 46th MIPRO ICT and Electronics Convention (MIPRO) Pub Date : 2023-05-22 DOI: 10.23919/MIPRO57284.2023.10159861

Alexander Kerr, Timo Hynninen

{"title":"Towards Improving Online Security Awareness Skills with Phishing and Spoofing Labs","authors":"Alexander Kerr, Timo Hynninen","doi":"10.23919/MIPRO57284.2023.10159861","DOIUrl":"https://doi.org/10.23919/MIPRO57284.2023.10159861","url":null,"abstract":"It can be especially hard for novices to examine their online browsing habits, or to be aware of the dangers related to online security. In this paper, we describe laboratory exercises designed to improve awareness of online security, in addition to teaching cybersecurity knowledge and skills. The lab exercises were used as a part of an information security fundamentals course for IT students with none or only novice experience in the field. These lessons are suitable for both delivery in the classroom and online in a virtual laboratory environment. The lab exercises were developed using the design science research methodology (DSR). Following DSR principles, the evaluation of the developed material was done by extracting observations from student reports. The thematic analysis method was used to process the data. The evaluation of the student learning reports revealed that the labs and the course were successful in the following ways: Improving security knowledge, improving critical thinking skills, and improving security awareness. Students also gained hands-on cyber awareness skills by analysing metadata in messages. Additionally, the material was perceived as useful for future working life.","PeriodicalId":177983,"journal":{"name":"2023 46th MIPRO ICT and Electronics Convention (MIPRO)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122631766","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}

引用次数: 0

Neuroevolution for the Sustainable Evolution of Neural Networks 神经网络可持续进化的神经进化

2023 46th MIPRO ICT and Electronics Convention (MIPRO) Pub Date : 2023-05-22 DOI: 10.23919/MIPRO57284.2023.10159943

Erik Otović, J. Lerga, Daniela Kalafatovic, G. Mauša

{"title":"Neuroevolution for the Sustainable Evolution of Neural Networks","authors":"Erik Otović, J. Lerga, Daniela Kalafatovic, G. Mauša","doi":"10.23919/MIPRO57284.2023.10159943","DOIUrl":"https://doi.org/10.23919/MIPRO57284.2023.10159943","url":null,"abstract":"The predictive performance of a neural network depends on its weights and architecture. optimizers based on gradient descent are most commonly used to optimize the weights, and grid search is utilized to find the most suitable architecture from the list of predefined architectures. On the other hand, neuroevolution offers a solution for the simultaneous growth of neural network architecture and the evolution of its weights. Thus, it is not limited by the user-defined list of possible architectures and can find configurations optimal for a specific task. Both approaches can be effectively parallelized and take advantage of modern multi-process systems. In this research, we compare neuroevolution and backpropagation in terms of the time consumed by the algorithm, the predictive performance of the neural network, and the complexity of the neural network. The total time for each algorithm is measured along with the times for each section of the algorithm and the time spent on synchronization due to the multi-process setting. The neural networks are compared by their predictive performance in terms of Matthews correlation coefficient score and their complexity as the number of nodes and connections. The case study is based on two synthetic and two real-world datasets for classification tasks.","PeriodicalId":177983,"journal":{"name":"2023 46th MIPRO ICT and Electronics Convention (MIPRO)","volume":"373 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122923534","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}

引用次数: 0