The research proposed in this article presents a novel improved version of the widely adopted firefly algorithm and its application for tuning and optimising XGBoost classifier hyper-parameters for network intrusion detection. One of the greatest issues in the domain of network intrusion detection systems are relatively high false positives and false negatives rates. In the proposed study, by using XGBoost classifier optimised with improved firefly algorithm, this challenge is addressed. Based on the established practice from the modern literature, the proposed improved firefly algorithm was first validated on 28 well-known CEC2013 benchmark instances a comparative analysis with the original firefly algorithm and other state-of-the-art metaheuristics was conducted. Afterwards, the devised method was adopted and tested for XGBoost hyper-parameters optimisation and the tuned classifier was tested on the widely used benchmarking NSL-KDD dataset and more recent USNW-NB15 dataset for network intrusion detection. Obtained experimental results prove that the proposed metaheuristics has significant potential in tackling machine learning hyper-parameters optimisation challenge and that it can be used for improving classification accuracy and average precision of network intrusion detection systems.

There is a growing interest in the study development of artificial intelligence and machine learning, especially regarding the support vector machine pattern classification method. This study proposes an enhanced implementation of the well-known whale optimisation algorithm, which combines chaotic and opposition-based learning strategies, which is adopted for hyper-parameter optimisation and feature selection machine learning challenges. The whale optimisation algorithm is a relatively recent addition to the group of swarm intelligence algorithms commonly used for optimisation. The Proposed improved whale optimisation algorithm was first tested for standard unconstrained CEC2017 benchmark suite and it was later adapted for simultaneous feature selection and support vector machine hyper-parameter tuning and validated for medical diagnostics by using breast cancer, diabetes, and erythemato-squamous dataset. The performance of the proposed model is compared with multiple competitive support vector machine models boosted with other metaheuristics, including another improved whale optimisation approach, particle swarm optimisation algorithm, bacterial foraging optimisation algorithms, and genetic algorithms. Results of the simulation show that the proposed model outperforms other competitors concerning the performance of classification and the selected subset feature size.

Abstract:In order to keep pace with the ongoing changes in ICT and increasing common IT competencies requirements, informatics curricula at secondary school level and, consequently, curricula educating informatics teachers must be frequently changed to ensure necessary competencies. This paper proposes collaborative development of informatics curricula assisted by a software tool for compatibility analysis of secondary school informatics curricula and curricula by which teachers of informatics are educated. The proposed software tool relies upon semantic technologies, i.e. ontologies for representation of competence-based curricula and ontology alignment for compatibility analysis. The secondary school informatics curriculum ontology was built to comply with the ACM K12 standard, while the teachers' curriculum ontology was built based on the selected existing curricula. The paper presents a brief description of the software tool and the results of the domain (informatics) segment of teachers' curriculum offered by the selected Serbian university and the standardized ACM K12 compliant secondary school informatics curriculum.

Abstract:The aim of this paper is to clarify the significance of using responsive logos on web pages. It aims to bring a more flexible and contextual system of brand identification. This can be done by moving away from strict and inflexible design guidelines. The authors shall attempt to explain why logos in all its variations can be unambiguous memory hooks. Also, we emphasise that they can behave like many other elements in responsive web pages. Contemporary businesses demand adaptation of their content to many sophisticated communication platforms. Among these are the devices with different varying screen dimensions. A responsive logo can be used to build better user experiences across a wide range of devices, thus elevating brand freshness. Having in mind that logos are the key elements of corporate identity and brand positioning, it is mandatory to optimise it for every scenario. It is an element on par with colours or slogans. It can be simplified by applying responsive design principles to individual elements that make out the logo. By removing unnecessary parts in relation to the varying screen size, a clearer and much more readable logo can be arranged. We have built a model for applying responsive design to logos and performed experimental testing in the real environment.

This paper presents an implementation of a location-based service developed for smartphone devices. It also covers a review of the need for location-based services and methods of location acquisition, which include GPS, cell-stations, wireless access point and IP address based Geo-location lookup positioning. The paper covers a review of contemporary technologies for development of software systems based on the location-based services and their use on smartphone devices. The paper presents the implementation of a GIS designed to provide venue information based on the location information of smartphones with Android operating system. Apstrakt: U radu je predstavljena primena usluge bazirane na lokaciji, kreirane za pametne telefone. U njemu se analizira potreba za uslugama baziranim na lokaciji, kao i metode utvrđivanja lokacije, među kojima su GPS, lociranje pomoću baznih stanica, bežičnih mreža i utvrđivanje lokacije pomoću IP adrese. Rad sadrži i pregled savremenih tehnologija za izradu softverskih sistema baziranih na lokaciji i njihovu upotrebu na pametnim telefonima. Predstavljena je implementacija jednog geografskog informacionog sistema dizajniranog da pruži informacije o ugostiteljskim objektima, koje su u blizini pametnih uređaja sa Android operativnim sistemom, bazirane na njihovoj lokaciji.