<abstract xmlns="http://www.w3.org/1999/xhtml">

Although the Internet of Things (IoT) is a rapidly developing technology, it also brings a number of security challenges, such as IoT attacks. Currently, research on IoT anomaly detection in Software-Defined Networking (SDN) relies only on the control plane. In this study, we aim to detect IoT anomalies by covering the advantages of the control and data plane. First, we collected real-time network telemetry data from the data plane based on the capabilities of the P4. Then, using this telemetry data, we built different anomaly detection models and compared their performance. Among them, the one-Dimensional Convolutional Neural Network (1D CNN) model classified our data best and showed the highest performance, so we proposed this model for IoT anomaly detection on the control plane. To our knowledge, our approach is the first solution that integrates the control plane and data plane for IoT anomaly detection. Finally, when evaluating the performance of our proposed 1D CNN model, the accuracy, F1 score, and Matthews correlation coefficient (MCC) are the same or better than existing studies.
</abstract>

Department of Programming languages and Compilers, Faculty of Informatics

Department of Information Network and Cyber Security

Mongolian University of Science and Technology (MUST)

IoT Anomaly Detection with 1D CNN Using P4 Capabilities

<abstract xmlns="http://www.w3.org/1999/xhtml">

This paper introduces a design of a modular multiport converter, employing active bridges. The design incorporates a modular structure, and the paper begins by conducting steady state analyses to evaluate the converter’s characteristics. Subsequently, a RMS current equation, average current equation and power distribution equation are derived. From these equations is derived equation for delay of specific port. Lastly, a multi active bridge described in this way is verified by simulation.
</abstract>

Initial Analysis of Multi Active Bridge Converter

<abstract xmlns="http://www.w3.org/1999/xhtml">

The continuous evolution of programming languages creates a challenge not only for the compiler implementers but also for the regular developers. The C++17 standard introduced the Parallel STL library, a parallel extension of the original and fundamental Standard Template Library (STL) with the promise to achieve safe, efficient, and scalable parallel programming in an easy way. While the syntax remained familiar, the new parallel algorithms introduced additional requirements, which are often ignored even by experienced programmers. In this paper, we investigate the root cause of the misuse of the Parallel STL. We carried out a classroom experiment to measure the programmers’ behaviour when programming using the Parallel STL and found that the major issue is not that their code would be erroneous, but the lack of awareness of the semantic requirements of parallel functors. While a fully automatic detection of erroneous constructs is computationally infeasible to achieve, we introduce a framework with which the developer will be able to indicate – axiomatically, based on absolute trust – that an operation has “safe” properties required by the algorithms. We implemented a prototype of the proposed framework to demonstrate its usability and effectiveness.
</abstract>

A Tag-Based Solution for Safer Parallel STL Usage

<abstract xmlns="http://www.w3.org/1999/xhtml">

The constantly growing demand for electricity demands both on the installed power of energy sources and on the transmission capabilities of electrical networks. Considering the fact that increasing the transmission capabilities of electrical networks by building new lines is a time and financially demanding process, network operators strive to use the transmission capacities of existing lines as much as possible. One of the possibilities of this maximum use of existing capacities is the application of the calculation of the dynamic ampacity of the lines, when the operators of electric networks know how to determine the maximum load capacity of the lines depending on the current climatic conditions. The presented publication presents a methodology for determining the dynamic ampacity of overhead power lines under different climatic conditions with the subsequent application of this methodology to a specific conductor used in the implementation of overhead transmission lines.
</abstract>

The Influence of Climatic Conditions on the Dynamic Ampacity of Overhead Power Lines

<abstract xmlns="http://www.w3.org/1999/xhtml">

The application of innovative technologies that foster smart production resources’ interconnectivity alongside the virtual space that facilities to support process simulation makes the technology factor become the center of Industry 4.0. The production process modeling and simulation can be used to facilitate flexibility and automation of a shop floor. In our previous research, we have created a Domain-Specific Modeling Language (DSML) named MultiProLan, aiming to create production process models suitable for the automatic generation of executable code that enables the automatic execution of production processes. As the next step, we have proposed research on a DSML language aimed at Industry 4.0 human worker modeling. Industry 4.0 still considers workers as a cost, while favoring technological aspects over the workers’ wellbeing. Industry 5.0 complements Industry 4.0, focusing on a human-centric approach that puts core human needs and interests at the top of production processes. Based on our research proposal, here we present a blueprint of the HResModLan DSML prototype aimed at the formal specification of a human worker within Industry 5.0. Presented abstract and concrete syntaxes of the language are tested on a case study of a furniture factory to demonstrate whether they are a good base for the further development of the HResModLan language.
</abstract>

Department of Industrial Engineering and Engineering Management, Faculty of Technical Sciences

Department of Computing and Control Engineering, Faculty of Technical Sciences

A Prototype of a Domain-Specific Modeling Language for Formal Specification of a Human Worker

AHEAD OF PRINT

Volume 24 (2024): Issue 1 (March 2024)

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Acta Electrotechnica et Informatica

 The journal focuses on the publishing of original scientific and professional articles, ones not previously issued in journals, from the research areas of electrical engineering and informatics.Research results in the field of electronics, mechatronics, robotics, automotive electronics, materials engineering, SMART technologies in power engineering, lighting technology, intelligent and automated measuring, and control systems, belong to the first discipline, while issues from the area of informatics, artificial intelligence, machine learning, Big Data, virtual or augmented reality, applied mathematics, software systems, natural language processing, speech recognition, computer vision, cybersecurity, parallel and distributed architectures, communication systems, digital signal processing, Internet of Things or Industry 4.0. to the second.All articles are subject to a blind review (provided by subject experts) assessing the content, scientific and research knowledge, originality, methods, quality and suitability of image material, text structure and style, referencing, and the overall contribution of each article. Based on the review, the editor reserves the right to reject the paper or request the author adjust it. to comply with the review suggestions　There is no deadline for submitting articles; authors can send their contributions at anytime. Before submitting their article by means of the journal's email or the journal's ScholarOne system, the authors should ensure the article is written in the Word or TEX template available in the menu; to be found under the “For Authors” tab.  Archiving  Sciendo archives the contents of this journal in Portico - digital long-term preservation service of scholarly books, journals and collections.  Plagiarism Policy  The editorial board is participating in a growing community of Similarity Check System's users in order to ensure that the content published is original and trustworthy. Similarity Check is a medium that allows for comprehensive manuscripts screening, aimed to eliminate plagiarism and provide a high standard and quality peer-review process. 