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2 pages, 146 KiB

Open AccessEditorial

Preface: The 4th International Conference on Communications, Information, Electronic and Energy Systems (CIEES 2023)

by Teodor Iliev, Ivaylo Stoyanov, Grigor Mihaylov and Renato Filjar

Eng. Proc. 2024, 60(1), 1; https://doi.org/10.3390/engproc2024060001 - 4 Jan 2024

Viewed by 1115

Abstract

This conference aimed to provide an international forum for researchers, academics, people in industry, and students to address recent research results and to present and discuss their ideas, theories, technologies, systems, tools, applications, works in progress and experiences on all theoretical and practical [...] Read more.

This conference aimed to provide an international forum for researchers, academics, people in industry, and students to address recent research results and to present and discuss their ideas, theories, technologies, systems, tools, applications, works in progress and experiences on all theoretical and practical issues arising in telecommunications, electronics, signal processing and applications, information technologies, energy, automotive and industrial engineering. Full article

(This article belongs to the Proceedings of The 4th International Conference on Communications, Information, Electronic and Energy Systems)

1 pages, 148 KiB

Open AccessEditorial

Statement of Peer Review

by Teodor Iliev, Ivaylo Stoyanov, Grigor Mihaylov and Renato Filjar

Eng. Proc. 2024, 60(1), 28; https://doi.org/10.3390/engproc2024060028 - 31 Jan 2024

Viewed by 542

Abstract

In submitting conference proceedings to Engineering Proceedings, the volume editors of the proceedings certify to the publisher that all papers published in this volume have been subjected to peer review administered by the volume editors [...] Full article

(This article belongs to the Proceedings of The 4th International Conference on Communications, Information, Electronic and Energy Systems)

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7 pages, 5607 KiB

Open AccessProceeding Paper

Assessment and Analysis of Forest Fires in Bulgaria

by Rositsa Velichkova, Elitsa Gieva and Iskra Simova

Eng. Proc. 2024, 60(1), 2; https://doi.org/10.3390/engproc2024060002 - 5 Jan 2024

Viewed by 849

Abstract

Forest fires exert detrimental effects on the economic, social, and ecological well-being of both individual nations and expansive geographical regions. These fires lead to the destruction of substantial quantities of valuable timber, the degradation of forest plantations, extensive deforestation, a decline in the [...] Read more.

Forest fires exert detrimental effects on the economic, social, and ecological well-being of both individual nations and expansive geographical regions. These fires lead to the destruction of substantial quantities of valuable timber, the degradation of forest plantations, extensive deforestation, a decline in the protective functions of forests, diminished effectiveness in safeguarding water resources, and heightened soil erosion, particularly in mountainous terrain. Concurrently, agricultural production faces deteriorating conditions, and both wildlife and human populations, along with their production facilities, residences, infrastructure, and other assets, become exposed to significant hazards as a direct or indirect consequence of these raging infernos. The data that are used and analysed are for the period 1980–2018. Full article

(This article belongs to the Proceedings of The 4th International Conference on Communications, Information, Electronic and Energy Systems)

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10 pages, 1101 KiB

Open AccessProceeding Paper

Static Load Sharing Analysis of a Full Pinion Engagement Planetary Gear Train Based on Statistical Simulation

by Vladislav Ivanov and Zlatina Tzenova

Eng. Proc. 2024, 60(1), 3; https://doi.org/10.3390/engproc2024060003 - 5 Jan 2024

Viewed by 1410

Abstract

The full pinion engagement planetary gear trains are comparatively little known especially when it comes to the load sharing between the planets. In this paper, an attempt has been made to compensate for the lack of statistical data by extending the lumped mass [...] Read more.

The full pinion engagement planetary gear trains are comparatively little known especially when it comes to the load sharing between the planets. In this paper, an attempt has been made to compensate for the lack of statistical data by extending the lumped mass model with the Monte Carlo simulation, thus generating thousands of different combinations for the pinhole position errors. A normal distribution has been assumed for the random variables. The static load sharing factor and the mesh load factor have been determined for nine scenarios with different mathematical expectations and mean deviations. Full article

(This article belongs to the Proceedings of The 4th International Conference on Communications, Information, Electronic and Energy Systems)

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10 pages, 2970 KiB

Open AccessProceeding Paper

Wind Power Plant’s Synthetic Inertia Estimation Using Extended Kalman Filter

by Vahid Helac, Herwig Renner and Selma Hanjalic

Eng. Proc. 2024, 60(1), 4; https://doi.org/10.3390/engproc2024060004 - 5 Jan 2024

Cited by 1 | Viewed by 764

Abstract

In the transition from non-renewable to renewable energy sources, wind and solar power plants have emerged as primary sources for reducing atmospheric emissions. However, ensuring grid stability remains a challenge in the absence of traditional power plants. Renewable energy sources are often referred [...] Read more.

In the transition from non-renewable to renewable energy sources, wind and solar power plants have emerged as primary sources for reducing atmospheric emissions. However, ensuring grid stability remains a challenge in the absence of traditional power plants. Renewable energy sources are often referred to as “inertia-less,” highlighting their vulnerability in transient stability scenarios in which system inertia is crucial. This paper introduces the concept of “synthetic inertia estimation” using an Extended Kalman Filter as a novel solution. Using the synthetic inertia estimation from a wind power plant, one can use the residual kinetic energy, and through the DC/AC converter, inject it into the system during times of stability disturbances. This paper offers practical insights into synthetic inertia estimation and its implementation for enhancing grid stability in a sustainable energy landscape. Full article

(This article belongs to the Proceedings of The 4th International Conference on Communications, Information, Electronic and Energy Systems)

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8 pages, 868 KiB

Open AccessProceeding Paper

Utilization of Hydrogen-Containing Gas Waste from Deep Oil Refining at a Hybrid Power Plant with a Solid Oxide Fuel Cell

by Ivan Beloev, Antonina Filimonova, Andrey Chichirov, Natalia Chichirova, Andrey Filimonov and Iliya Iliev

Eng. Proc. 2024, 60(1), 5; https://doi.org/10.3390/engproc2024060005 - 5 Jan 2024

Cited by 2 | Viewed by 725

Abstract

The article is devoted to the issues of the utilization of hydrogen-containing gas wastes in oil refining deep processing. Gas wastes consist of hydrogen, methane, ethane, propane, butane, other saturated and unsaturated C5-C7 hydrocarbons, sulfur compounds, carbon monoxide, carbon dioxide, nitrogen and oxygen. [...] Read more.

The article is devoted to the issues of the utilization of hydrogen-containing gas wastes in oil refining deep processing. Gas wastes consist of hydrogen, methane, ethane, propane, butane, other saturated and unsaturated C5-C7 hydrocarbons, sulfur compounds, carbon monoxide, carbon dioxide, nitrogen and oxygen. The use of a hybrid power plant for efficient conversion of the potential energy of the gas mixture into electrical and thermal energy is proposed. It is shown that gas waste from oil production has a net calorific value comparable to the calorific value of natural gas (46 and 49 MJ/kg, respectively). Fuel gas is a valuable product that can be used after desulfurization instead of burning in the atmosphere. The article proposes the developed composition of the adsorbent for hydrogen sulfide capturing, including 40% wt. bentonite, 40% wt. calcium oxide, 10% wt. zinc oxide and 10% wt. manganese oxide. The capture rate was 98.3%. A comparison of various types of fuel for a hybrid power plant with a high-temperature fuel cell and an assessment of the efficiency of using gas waste from oil refineries was carried out. It is shown that fuel gas from oil production waste has a high potential for use in power plants due to its high calorific value and a number of other advantages compared to natural gas. Full article

(This article belongs to the Proceedings of The 4th International Conference on Communications, Information, Electronic and Energy Systems)

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8 pages, 3668 KiB

Open AccessProceeding Paper

Design and Modelling of Spherical Shaped Gear Arrangements in Kinematic Sculptures

by Angel Alexandrov and Vladislav Ivanov

Eng. Proc. 2024, 60(1), 6; https://doi.org/10.3390/engproc2024060006 - 9 Jan 2024

Viewed by 1194

Abstract

The study presents an analysis and guide for the synthesis of a spherical shaped gear mesh in kinematic sculptures. The specific conditions for generating such arrangements are investigated, like the mesh condition for constrained gear systems, the geometry of forming gears, possible patterns, [...] Read more.

The study presents an analysis and guide for the synthesis of a spherical shaped gear mesh in kinematic sculptures. The specific conditions for generating such arrangements are investigated, like the mesh condition for constrained gear systems, the geometry of forming gears, possible patterns, choice of dimensions, and number of teeth. The starting geometry is also partially described, which is based on convex polyhedrons. It is a solid three-dimensional figure with flat polygonal faces that are closed, where all the angles between adjacent faces are less than or equal to 180 degrees, and there are no concave regions or indentations in its structure. Two different examples are presented based on two different polyhedrons with different gear arrangements. Full article

(This article belongs to the Proceedings of The 4th International Conference on Communications, Information, Electronic and Energy Systems)

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12 pages, 6734 KiB

Open AccessProceeding Paper

Batteries Contribution Assessment for Optimal Self-Sufficiency in Large Building Complexes

by Emmanuel Karapidakis, Marios Nikologiannis, Ariadni Kikaki, Marini Markaki and Amalia Moutsopoulou

Eng. Proc. 2024, 60(1), 7; https://doi.org/10.3390/engproc2024060007 - 5 Jan 2024

Viewed by 657

Abstract

Energy consumption in large building complexes has a specific profile, consisting of thermal energy and electricity. Due to the recent energy crises, operational costs of these needs have been significantly increased. According to EU Energies Policies, the future objective is the transition to [...] Read more.

Energy consumption in large building complexes has a specific profile, consisting of thermal energy and electricity. Due to the recent energy crises, operational costs of these needs have been significantly increased. According to EU Energies Policies, the future objective is the transition to renewable-based energy, and self-sufficient and nearly zero buildings. This paper investigates the electricity consumption profile of a specific hotel located in Crete. An algorithm has been introduced to maximize the self-sufficiency of the examined hotel. The algorithm succeeds in increasing the self-sufficiency of the hotel’s energy system up to 99% by determining the PV power and battery capacity. Full article

(This article belongs to the Proceedings of The 4th International Conference on Communications, Information, Electronic and Energy Systems)

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15 pages, 4288 KiB

Open AccessProceeding Paper

Research on INS/GNSS/UWB Adaptive Robust ESKF Kinematic and Static Filtering Based on Cost Function

by Zongbin Ren, Songlin Liu, Jing Liu, Jun Dai and Yunzhu Lv

Eng. Proc. 2024, 60(1), 8; https://doi.org/10.3390/engproc2024060008 - 9 Jan 2024

Cited by 1 | Viewed by 650

Abstract

Multi-source autonomous navigation-dependable decision making has a crucial impact on the overall performance of navigation systems. To solve the problem of overall system robustness caused by the intelligent-dependable decision making difficulties of navigation systems from different sources, on an unmanned ground vehicle (UGV) [...] Read more.

Multi-source autonomous navigation-dependable decision making has a crucial impact on the overall performance of navigation systems. To solve the problem of overall system robustness caused by the intelligent-dependable decision making difficulties of navigation systems from different sources, on an unmanned ground vehicle (UGV) as the carrier, a new multi-source fusion algorithm based on cost function is proposed in this paper. The algorithm uses INS/GNSS/UWB as the sensor data source and is solved by using error-state Kalman filter (ESKF)-based kinematic and static multi-source filtering. After the RSS, positioning residual and positioning stability are selected as parameters and weighted, and the cost function is constructed. The structure of the filtering can be adapted according to the cost function in complex environments. Through mathematical simulation and comparative experiments, the positioning accuracy of the algorithm is improved by 75.9% and 74.44%, respectively, compared to federated filter and traditional ESKF-based kinematic and static filtering. It also improves the reliability, decision-making ability, and robustness of multi-source autonomous navigation system. Full article

(This article belongs to the Proceedings of The 4th International Conference on Communications, Information, Electronic and Energy Systems)

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8 pages, 3520 KiB

Open AccessProceeding Paper

Novel Natural Bee Brick with a Low Energy Footprint for “Green” Masonry Walls: Mechanical Properties

by Athanasia K. Thomoglou, Maristella E. Voutetaki, Jacob G. Fantidis and Constantin E. Chalioris

Eng. Proc. 2024, 60(1), 9; https://doi.org/10.3390/engproc2024060009 - 9 Jan 2024

Cited by 3 | Viewed by 831

Abstract

The present research delves into the experimental investigation of the mechanical properties of bee bricks, which serve as nesting habitats for solitary bees. The study aims to provide valuable insights into the efficacy of these bricks as eco-friendly alternatives emphasizing a low energy [...] Read more.

The present research delves into the experimental investigation of the mechanical properties of bee bricks, which serve as nesting habitats for solitary bees. The study aims to provide valuable insights into the efficacy of these bricks as eco-friendly alternatives emphasizing a low energy footprint. It is designed as a masonry unit to provide nest sites in urban or civil areas to order to protect and contribute to the reproduction of solitary (wild) bee pollinators. The invention concerns the solid structural and architectural material of masonry bricks, which have different sizes of cavities and constitute a natural habitat for various solitary bee species. It is an innovative material that can be used as a building material in both new constructions and existing masonry structures. At the same time, it can be used as a decorative material in gardens, nurseries, fields, the courtyards of houses, schools, and buildings in cities; it can even be used in “green” and sustainable buildings. To protect bees, it is necessary to address the threats mentioned above. The results indicate that the physical materials composed a high-performance product with a remarkable compressive strength of 12 MPa and 13 MPa in loading directions perpendicular and parallel to the bed joint, respectively. Simultaneously, despite the smooth surface, the bee brick presented respectable adhesive properties proving that this product is appropriate and can be proposed as a masonry unit for safe seismically designed structures. Furthermore, the direct shear results indicate that the low strength of the binder mortar as well as the bond strength of the masonry unit and the mortar play a significant role. Overall, this presents awareness about the reduction of biodiversity and, at the same time, a proposal of the dual use of the construction material for the construction of load-bearing masonry and a biotope needed for the reproduction and protection of pollinator bees. Full article

(This article belongs to the Proceedings of The 4th International Conference on Communications, Information, Electronic and Energy Systems)

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10 pages, 4295 KiB

Open AccessProceeding Paper

The Characterization of Deformable Photovoltaic Modules

by Mohammad Isaied and Anas Al Tarabsheh

Eng. Proc. 2024, 60(1), 10; https://doi.org/10.3390/engproc2024060010 - 9 Jan 2024

Cited by 1 | Viewed by 569

Abstract

The system under investigation is a deformable photovoltaic–wind hybrid system which utilizes both solar and wind energy by combining PV modules with a vertical-axis wind turbine. This system contains 5 PV modules separated by 72° angles; these modules are attached to the blades [...] Read more.

The system under investigation is a deformable photovoltaic–wind hybrid system which utilizes both solar and wind energy by combining PV modules with a vertical-axis wind turbine. This system contains 5 PV modules separated by 72° angles; these modules are attached to the blades of the vertical-axis wind turbine. This leads to each module receiving a different amount of solar irradiation, which affects the generated output power. In this study, the V_OC and I_SC of the modules were measured against different factors that influence the output power, including factors such as solar insulation, module temperature, module tilt angle θ, and module azimuth angle ϕ. These measurements were entered into the MATLAB curve fitter to produce a model of each parameter. The results showed that as the tilt angle θ decreased from the default, the V_OC increased slightly, while I_SC increased significantly. And when the module temperature increased, V_OC decreased significantly, while the I_SC increased slightly. The results of the study showed that by changing the module tilt angle and module azimuth angle, the solar insolation received at the module surface changed, which leads to different V_OC and I_SC values. Also, this study showed that the V_OC and I_SC values varied with time. Full article

(This article belongs to the Proceedings of The 4th International Conference on Communications, Information, Electronic and Energy Systems)

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7 pages, 2205 KiB

Open AccessProceeding Paper

Forecasting Teletraffic Performance Using Regression Analysis, FNNN, GRNN and CFNN

by Ivelina Balabanova and Georgi Georgiev

Eng. Proc. 2024, 60(1), 11; https://doi.org/10.3390/engproc2024060011 - 9 Jan 2024

Viewed by 569

Abstract

This paper presents an approach for the predictive analysis of teletraffic performance indices through derived analytical and regression structures based on Artificial Intelligence. The systematization of synthesis, testing, and verification processes for simulation-modeled teletraffic ICT infrastructure with queue service organization was carried out. [...] Read more.

This paper presents an approach for the predictive analysis of teletraffic performance indices through derived analytical and regression structures based on Artificial Intelligence. The systematization of synthesis, testing, and verification processes for simulation-modeled teletraffic ICT infrastructure with queue service organization was carried out. The forecast models for the selected system throughput and system response time indices against the specific complex indicator Service Demand were obtained. Polynomial regression models based on the Coefficient of determination R were achieved. In the course of procedural teletraffic forecasting, we used Feed-Forward Neural Networks (FFNNs), Generalized Regression Neural Networks (GRNNs), and Cascade-Forward Neural Networks. The selection of neural models was performed as the functional minimization of the Mean-Squared Error (MSE) and Mean Absolute Error (MAE). Full article

(This article belongs to the Proceedings of The 4th International Conference on Communications, Information, Electronic and Energy Systems)

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10 pages, 1024 KiB

Open AccessProceeding Paper

Recent Trends in Computer Vision for Cheese Quality Evaluation

by Atanaska Bosakova-Ardenska

Eng. Proc. 2024, 60(1), 12; https://doi.org/10.3390/engproc2024060012 - 9 Jan 2024

Cited by 1 | Viewed by 1127

Abstract

A review of current trends in CVSs (computer vision systems) regarding hardware and software components, in the context of cheese quality evaluation, is presented in this paper, and some directions for future development in the field are discussed. The application of methods of [...] Read more.

A review of current trends in CVSs (computer vision systems) regarding hardware and software components, in the context of cheese quality evaluation, is presented in this paper, and some directions for future development in the field are discussed. The application of methods of computer vision for evaluating the quality indicators of different types of cheese is explored in detail regarding systems for data gathering and algorithms for their processing. We discuss opportunities for the usage of advancements in AI (artificial intelligence) for a fast and effective quality control of food production. Modern computer-based concepts are viewed in the context of food quality control such as CAFE (computer-aided food engineering) and digital twins. Methods for further enhancement of the quality of human life are highlighted in the context of sustainability related to contemporary computer-based technologies. Full article

(This article belongs to the Proceedings of The 4th International Conference on Communications, Information, Electronic and Energy Systems)

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8 pages, 1256 KiB

Open AccessProceeding Paper

Heat Transfer Intensification in Recuperative Heat Exchangers of the Stirling Engine

by Abay Dostiyarov, Gulzira Koldassova, Nellya Jamankulova, Aliya Dostiyarova, Iliya Iliev and Ivan Beloev

Eng. Proc. 2024, 60(1), 13; https://doi.org/10.3390/engproc2024060013 - 10 Jan 2024

Viewed by 752

Abstract

The non-stationary mode of movement of the working fluid flow in the Stirling engine causes serious difficulties in the design of heat exchangers. In most cases, the operation of conventional commercial heat exchangers is considered under steady-state flow conditions with relatively slowly varying [...] Read more.

The non-stationary mode of movement of the working fluid flow in the Stirling engine causes serious difficulties in the design of heat exchangers. In most cases, the operation of conventional commercial heat exchangers is considered under steady-state flow conditions with relatively slowly varying parameters. Another situation is observed in Stirling engines, where the working fluid flow mode is characterized by significant changes in pressure, density and flow rate, the direction of which changes twice per cycle. These circumstances significantly complicate the design of regenerators and other heat exchangers for Stirling engines. The results of a theoretical and experimental study of recuperative heat exchangers in the Stirling engine system and possible ways to improve the efficiency of heat transfer in order to increase power and efficiency are considered in this article. A method of comparative evaluation of heat exchange surfaces efficiency is proposed under conditions of their operation in the engines with external heat supply system. Full article

(This article belongs to the Proceedings of The 4th International Conference on Communications, Information, Electronic and Energy Systems)

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10 pages, 5756 KiB

Open AccessProceeding Paper

Performance Analysis of a Nine-Phase Squirrel Cage Induction Motor under Faulty Conditions

by Mpho Glen Maeko and Mbika Muteba

Eng. Proc. 2024, 60(1), 14; https://doi.org/10.3390/engproc2024060014 - 10 Jan 2024

Cited by 1 | Viewed by 864

Abstract

This paper evaluates the performance of an inverter-fed nine-phase squirrel cage induction motor (SCIM) under faulty conditions. The induction motor’s stator core of the conventional National Electrical Manufacturers Association (NEMA) frame size of 90L has been rewound to accommodate coils that form the [...] Read more.

This paper evaluates the performance of an inverter-fed nine-phase squirrel cage induction motor (SCIM) under faulty conditions. The induction motor’s stator core of the conventional National Electrical Manufacturers Association (NEMA) frame size of 90L has been rewound to accommodate coils that form the nine-phase windings. The prototyped nine-phase SCIM drive has been tested for transient and steady-state capabilities for well-conditioned and defective functioning. The open-phase-winding faults are caused by fuses opening during an imposed short circuit. The experimental results evidenced that the nine-phase induction motor drive can operate under faulty conditions while minimizing the gravity of defective functioning. This premise has positioned the nine-phase SCIM drive as a strong candidate in applications where fault tolerance is a must, and the motor may be required to continue operating temporarily under faulty conditions until maintenance is in effect. Full article

(This article belongs to the Proceedings of The 4th International Conference on Communications, Information, Electronic and Energy Systems)

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10 pages, 2918 KiB

Open AccessProceeding Paper

Design of an Experimental Facility for Thermographic Analysis of Photovoltaic Installations

by Ventsislav Keseev, Boris Evstatiev, Nicolay Mihailov, Tsvetelina Mladenova and Vladislav Hinkov

Eng. Proc. 2024, 60(1), 15; https://doi.org/10.3390/engproc2024060015 - 10 Jan 2024

Viewed by 594

Abstract

Regular inspections of photovoltaic (PV) installations are an important procedure for optimizing their efficiency and prolonging their life expectancies; however, this might be a costly activity. One of the alternatives is visual monitoring using cameras with different spectra. This study presents the design [...] Read more.

Regular inspections of photovoltaic (PV) installations are an important procedure for optimizing their efficiency and prolonging their life expectancies; however, this might be a costly activity. One of the alternatives is visual monitoring using cameras with different spectra. This study presents the design and development of an experimental facility to conduct a wide range of thermographic studies. Initially, the common non-invasive inspection technologies are reviewed; then, an appropriate one is chosen according to the requirements of the lab. Next, the designed facility is analyzed in terms of resolution and accuracy, and the pixel count per solar cell is obtained for the different areas of the installation site. This study also analyzes the possible research activities that could be implemented within the created facility. They have been summarized in four categories: the identification of the type of soiling over a PV surface; the modeling of a string efficiency decrease as a function of partial shading/soiling of its surface; the investigation of the influence of distance on the accuracy and uncertainty of the performed IR measurements; and the continuous long-term monitoring of the PV installation. Examples of the above categories are also shown, which demonstrate the identification of typical urban PV exploitation situations with the infrared camera. Full article

(This article belongs to the Proceedings of The 4th International Conference on Communications, Information, Electronic and Energy Systems)

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8 pages, 1819 KiB

Open AccessProceeding Paper

On the Design of a GaN-Based Solid-State Circuit Breaker for On-Board DC Microgrids

by Symeon Fountoukidis, Nick Rigogiannis, Georgios Voltsis, Konstantinos Terzopoulos, Michael Loupis and Nikolaos Papanikolaou

Eng. Proc. 2024, 60(1), 16; https://doi.org/10.3390/engproc2024060016 - 10 Jan 2024

Viewed by 1147

Abstract

The concept of more electric aircraft (MEA) has gained popularity over the last few decades. As the power level of electric loads is constantly increasing, the installation of advanced protection systems becomes of paramount importance. In this context, this paper presents the design [...] Read more.

The concept of more electric aircraft (MEA) has gained popularity over the last few decades. As the power level of electric loads is constantly increasing, the installation of advanced protection systems becomes of paramount importance. In this context, this paper presents the design process and experimental validation of a solid-state circuit breaker (SSCB), utilizing gallium nitride (GaN) semiconductor switches, under various faulty conditions. In addition, a thermal analysis was carried out in the PLECS simulation platform to find the most appropriate design for the heat dissipation system. Experimental results on the developed GaN SSCB hardware prototype verify its functionality and good performance. Full article

(This article belongs to the Proceedings of The 4th International Conference on Communications, Information, Electronic and Energy Systems)

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9 pages, 5037 KiB

Open AccessProceeding Paper

Source Camera Linking Algorithm Based on the Analysis of Plain Image Zones

by Ana Elena Ramirez-Rodriguez, Mariko Nakano and Hector Perez-Meana

Eng. Proc. 2024, 60(1), 17; https://doi.org/10.3390/engproc2024060017 - 11 Jan 2024

Viewed by 529

Abstract

This paper proposes an image linking scheme, where the plain zones of the image under analysis are used, which are detected using the Discrete Cosine Transform. Then, a Block Matching 3D denoising filter is used to reduce the additive noise such that the [...] Read more.

This paper proposes an image linking scheme, where the plain zones of the image under analysis are used, which are detected using the Discrete Cosine Transform. Then, a Block Matching 3D denoising filter is used to reduce the additive noise such that the residual error of the plain zones. The Peak to Correlation Energy is applied to compare the enhanced residual noise patterns. Experimental results show that the proposed methodology compared to conventional techniques is better due to the emphasis on plain zones, because the detailed and edge areas introduce distortions that can significantly affect the extracted residual noise patterns. Full article

(This article belongs to the Proceedings of The 4th International Conference on Communications, Information, Electronic and Energy Systems)

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10 pages, 4156 KiB

Open AccessProceeding Paper

Ant Colony Optimization Algorithm for Feature Selection in Suspicious Transaction Detection System

by Karina Niyazova, Assel Mukasheva, Gani Balbayev, Teodor Iliev, Nazym Mirambayeva and Mukhamedali Uzakbayev

Eng. Proc. 2024, 60(1), 18; https://doi.org/10.3390/engproc2024060018 - 11 Jan 2024

Cited by 1 | Viewed by 937

Abstract

The fight against financial crimes has become increasingly challenging, and the need for sophisticated systems that can accurately identify suspicious transactions has become more pressing. The goal of the study is to develop a new feature selection method based on swarm intelligence algorithms [...] Read more.

The fight against financial crimes has become increasingly challenging, and the need for sophisticated systems that can accurately identify suspicious transactions has become more pressing. The goal of the study is to develop a new feature selection method based on swarm intelligence algorithms to improve the quality of data classification. This article is about the development of an information system for the classification of transactions into legal and suspicious in an anti-money laundering sphere. The system utilizes a swarm-algorithm-based feature selection approach, specifically the ant colony optimization algorithm, which was both used and adapted for this purpose The article also presents the system’s functional–structural diagram and feature selection algorithm flowchart. The proposed feature selection method can be used to classify data from various subject areas. Full article

(This article belongs to the Proceedings of The 4th International Conference on Communications, Information, Electronic and Energy Systems)

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12 pages, 4177 KiB

Open AccessProceeding Paper

Revolutionizing Video Production: An AI-Powered Cameraman Robot for Quality Content

by Bara Fteiha, Rami Altai, Maha Yaghi and Huma Zia

Eng. Proc. 2024, 60(1), 19; https://doi.org/10.3390/engproc2024060019 - 15 Jan 2024

Cited by 2 | Viewed by 1636

Abstract

In today’s world of growing user-generated content on social media, this study addresses the challenge of producing high-quality content, be it for social engagement or educational purposes. Conventionally, using a cameraman has been an effective yet expensive way to enhance video quality. In [...] Read more.

In today’s world of growing user-generated content on social media, this study addresses the challenge of producing high-quality content, be it for social engagement or educational purposes. Conventionally, using a cameraman has been an effective yet expensive way to enhance video quality. In this context, our research introduces an innovative AI-driven camera robot that autonomously tracks the content creator, thereby improving video production quality. The robot uses an object detection model composed of YOLOv3 and Kalman filter algorithms to identify the content creators and create a bounding box around them within the frame. Using motion detection control, the robot adjusts its position to keep the bounding box centered in the frame, ensuring a continuous focus on the content creator. As a result, the system consistently captures excellent images through precise pan-tilt movements, promising improved visual storytelling. The initial results confirm the system’s effectiveness in content detection, camera control, and content tracking. This advancement has the potential to impact user-generated content across various domains, providing an accessible way to enhance content quality without the high costs associated with traditional cameraman services. Full article

(This article belongs to the Proceedings of The 4th International Conference on Communications, Information, Electronic and Energy Systems)

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14 pages, 5585 KiB

Open AccessProceeding Paper

Quantitative Comparison of Machine Learning Clustering Methods for Tuberculosis Data Analysis

by Marlen Kossakov, Assel Mukasheva, Gani Balbayev, Syrym Seidazimov, Dinargul Mukammejanova and Madina Sydybayeva

Eng. Proc. 2024, 60(1), 20; https://doi.org/10.3390/engproc2024060020 - 16 Jan 2024

Cited by 3 | Viewed by 1814

Abstract

In many fields, data-driven decision making has become essential due to machine learning (ML), which provides insights that improve productivity and quality of life. A basic machine learning approach called clustering helps find comparable data points. Clustering plays a critical role in the [...] Read more.

In many fields, data-driven decision making has become essential due to machine learning (ML), which provides insights that improve productivity and quality of life. A basic machine learning approach called clustering helps find comparable data points. Clustering plays a critical role in the identification of patient subgroups and the customisation of treatment in the context of tuberculosis (TB) research. While prior studies have recognized its utility, a comprehensive comparative analysis of multiple clustering methods applied to TB data is lacking. Using TB data, this study thoroughly assesses and contrasts four well-known machine learning clustering algorithms: spectral clustering, DBSCAN, hierarchical clustering, and k-means. To evaluate the quality of a cluster, quantitative measures such as the silhouette score, Davies–Bouldin index, and Calinski–Harabasz index are utilised. The results provide quantitative insights that enhance comprehension of clustering and guide future research. Full article

(This article belongs to the Proceedings of The 4th International Conference on Communications, Information, Electronic and Energy Systems)

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9 pages, 2273 KiB

Open AccessProceeding Paper

Cyber–Physical System for Traffic Sign Detection and Recognition

by Nikolay Gospodinov and Georgi Krastev

Eng. Proc. 2024, 60(1), 21; https://doi.org/10.3390/engproc2024060021 - 16 Jan 2024

Cited by 1 | Viewed by 699

Abstract

The objective of this paper is to introduce a module that works with smart glasses that to detect and recognize traffic signs on the road. The developed module encompasses the detection and classification of traffic signs, thereby enhancing safety and convenience for users [...] Read more.

The objective of this paper is to introduce a module that works with smart glasses that to detect and recognize traffic signs on the road. The developed module encompasses the detection and classification of traffic signs, thereby enhancing safety and convenience for users during their travels. Employing innovative recognition algorithms, the software distinguishes between various types of signs, including speed limits, hazard warnings, and directional indicators. Furthermore, the system prioritizes user convenience by providing an intuitive and easily com-prehensible interface. This facilitates quick and precise access to information about traffic signs for both drivers and pedestrians, irrespective of their technological experience. Our endeavor not only illustrates the functionality of the system but also underscores its significance in augmenting road user safety. This innovative approach reflects our commitment to advancing technologies that not only offer intelligent solutions but also simplify everyday tasks for individuals. The paper establishes the sustainability and efficacy of this prototype, thereby laying the groundwork for future development and potential large-scale implementation of the system. This presents an exciting opportunity to enhance the mobility and safety for road users through innovative technologies and intelligent solutions. Full article

(This article belongs to the Proceedings of The 4th International Conference on Communications, Information, Electronic and Energy Systems)

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11 pages, 7299 KiB

Open AccessProceeding Paper

Active Fault Detection Device for LV Electrical Installations with Goertzel-Based Impedance Estimation and IoT Connectivity

by Christos Pechlivanis, Nick Rigogiannis, Andreas Tichalas, Syllas Frantzeskakis, Christos Christodoulou and Nick Papanikolaou

Eng. Proc. 2024, 60(1), 22; https://doi.org/10.3390/engproc2024060022 - 16 Jan 2024

Cited by 1 | Viewed by 777

Abstract

An active (harmonic-injection based) fault detection device, relevant to low voltage electrical installations is studied in this paper. This compact and flexible device is compatible with TN/TT earthing systems, and it is capable of detecting power theft (i.e., via meter tampering), neutral conductor [...] Read more.

An active (harmonic-injection based) fault detection device, relevant to low voltage electrical installations is studied in this paper. This compact and flexible device is compatible with TN/TT earthing systems, and it is capable of detecting power theft (i.e., via meter tampering), neutral conductor loss at the upstream network and unintentional islanding. A 12th order zero-sequence voltage harmonic component is injected -via a low-power H-bridge inverter along with a current transformer (CT), in series with the grid voltage, whereas the corresponding harmonic current is measured, to estimate the impedance. The well-established, robust and fast Goertzel algorithm is selected as the impedance monitoring method, to effectively diagnose any fault. Finally, the device features Internet of Things connectivity capabilities, as it employs the ESP32 microcontroller, facilitating its communication and data exchange capabilities with the installation meter, as well as with various smart home devices. Full article

(This article belongs to the Proceedings of The 4th International Conference on Communications, Information, Electronic and Energy Systems)

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10 pages, 3673 KiB

Open AccessProceeding Paper

Evaluation of the Effect of Energy Efficient Measures Applied in Public-Service Buildings

by Angel Terziev, Martin Ivanov and Penka Zlateva

Eng. Proc. 2024, 60(1), 23; https://doi.org/10.3390/engproc2024060023 - 16 Jan 2024

Cited by 1 | Viewed by 796

Abstract

A detailed assessment of the effect of implementing energy saving measures (ESMs) in administrative buildings, is presented in the following work. The main objective is to study the impact of these measures on energy consumption and to refine the difference between actual and [...] Read more.

A detailed assessment of the effect of implementing energy saving measures (ESMs) in administrative buildings, is presented in the following work. The main objective is to study the impact of these measures on energy consumption and to refine the difference between actual and predicted energy costs. To achieve this goal, extensive research is conducted, covering 44 administrative buildings in different areas in Bulgaria. After implementing a total of 144 ESMs in these buildings, the effect of the measures was followed over a four-year period. The results of the research show a significant reduction in energy costs after the implementation of energy saving measures in administrative buildings. This has a double benefit—it optimizes the financial resources of the organizations that use the buildings, and it contributes to the reduction of greenhouse gas emissions. Full article

(This article belongs to the Proceedings of The 4th International Conference on Communications, Information, Electronic and Energy Systems)

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8 pages, 3832 KiB

Open AccessProceeding Paper

Local Area Improvement of GSM Network Coverage

by Miroslav Tomov, Panagiotis Kogias, Michail Malamatoudis and Stanimir Sadinov

Eng. Proc. 2024, 60(1), 24; https://doi.org/10.3390/engproc2024060024 - 17 Jan 2024

Cited by 1 | Viewed by 637

Abstract

This article describes the design of a local GSM signal amplifying system and presents the results of appliance performance measurements, simulations and analyses. The system consists of a receiving antenna of the Yagi type, a 50 Ω cable, a 0.5–1.5 GHz wideband RF [...] Read more.

This article describes the design of a local GSM signal amplifying system and presents the results of appliance performance measurements, simulations and analyses. The system consists of a receiving antenna of the Yagi type, a 50 Ω cable, a 0.5–1.5 GHz wideband RF amplifier and a transmitting antenna. A precise measurement of the S-parameters of each component is performed and recorded in the appropriate S-matrix data file format. The amplifying system is first realized in a Keysight Genesys programming simulation platform with S-models, created based on the measured data. That schematic is simulated and optimized by calculating additional impedance-matching circuits included in the initial schematic design. Full article

(This article belongs to the Proceedings of The 4th International Conference on Communications, Information, Electronic and Energy Systems)

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9 pages, 1182 KiB

Open AccessProceeding Paper

Integrated Model of Production and Engineering Chains in Smart Manufacturing Technologies in Industry 4.0

by Miglena Temelkova and Nikola Bakalov

Eng. Proc. 2024, 60(1), 25; https://doi.org/10.3390/engproc2024060025 - 23 Jan 2024

Viewed by 570

Abstract

This study synthesizes a model of the main engineering and production chains in the Smart factory of Industry 4.0. This study has three main stages: an overview of the main definitions of the concepts “engineering and production chain” and “model”, the generation of [...] Read more.

This study synthesizes a model of the main engineering and production chains in the Smart factory of Industry 4.0. This study has three main stages: an overview of the main definitions of the concepts “engineering and production chain” and “model”, the generation of working definitions of these concepts for the purposes of this article, and synthesis of a model of the main engineering and production chains in the Smart factory of Industry 4.0. It was concluded in the course of the analysis that the defined six main engineering and production chains in the Smart factory of Industry 4.0 are part of its cyber–physical production system. The tools that support the Model of the main engineering and production chains in the Smart factory of Industry 4.0 are also synthesized in this article. The essential added value for science and production engineering of the Model in the main engineering and production chains in the Smart factory of Industry 4.0 are defined for the first time in the literature as an option to deepen the processes of re-structuring the real traditional physical production into a cyber–physical production process by integrating specialized software products in the operation of each of the defined chains and the entire cyber–physical production system. Full article

(This article belongs to the Proceedings of The 4th International Conference on Communications, Information, Electronic and Energy Systems)

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7 pages, 2567 KiB

Open AccessProceeding Paper

A Study of the Dynamic Stiffness of Flexible Couplings with a Rubber–Metal Element Type SEGME

by Hristo Hristov, Stefan Tenev and Ismail Mehmedov

Eng. Proc. 2024, 60(1), 26; https://doi.org/10.3390/engproc2024060026 - 24 Jan 2024

Viewed by 698

Abstract

The dynamic characteristics of flexible couplings with a rubber–metal element type SEGME have been studied. The hardness of the rubber element of the SEGME 25 coupling is 53 Shore A, and that the SEGME 63 coupling is 73 Shore A, respectively. The experimental [...] Read more.

The dynamic characteristics of flexible couplings with a rubber–metal element type SEGME have been studied. The hardness of the rubber element of the SEGME 25 coupling is 53 Shore A, and that the SEGME 63 coupling is 73 Shore A, respectively. The experimental study was carried out in conditions of alignment of the connected shafts, and also at different levels of radial misalignment. The influence of an additional angular misalignment was investigated. The results show that, for this coupling type, the radial misalignments induce a downward nonlinear dependence on the dynamic stiffness. The presence of a small angular displacement in the shafts causes significant radial deformations. The sensitivity of the coupling decreases with the high hardness of the rubber element. Full article

(This article belongs to the Proceedings of The 4th International Conference on Communications, Information, Electronic and Energy Systems)

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6 pages, 3647 KiB

Open AccessProceeding Paper

Numerical Investigation of Intensity of Rising Flow of Hot Gases

by Rositsa Velichkova, Alexandra Mihaylova and Ivan Antonov

Eng. Proc. 2024, 60(1), 27; https://doi.org/10.3390/engproc2024060027 - 26 Jan 2024

Viewed by 402

Abstract

The motion of the burning gases that constitute the flame during fires is particularly intriguing from two perspectives: its impact on the stability of building structures and the process of extinguishing the fire, as well as the prevention of its further spread. This [...] Read more.

The motion of the burning gases that constitute the flame during fires is particularly intriguing from two perspectives: its impact on the stability of building structures and the process of extinguishing the fire, as well as the prevention of its further spread. This study investigates the existing zones within the flame during fires and their distinctive features. The upward movement of burning gases closely resembles that of a convective jet but occurs at significantly higher temperatures. The temperature and velocity distribution along the flame axis were investigated depending on the power of the fire. The changes in the density and velocity head along the height of the flame are presented graphically. These results can be very helpful for multi-store building with the aim to prevent floor heating due to the higher temperature of the attic of the down enclosure and to take measure for its cooling. Full article

(This article belongs to the Proceedings of The 4th International Conference on Communications, Information, Electronic and Energy Systems)

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