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1

Importance of C/C++ compiler choice for performance and energy consumption of multithreaded WZ factorization

Bylina Beata, Piekarz Monika, Bylina Jarosław

Bulletin of the Polish Academy of Sciences. Technical Sciences

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2025

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Vol. 73, nr 2

art. no. e153226

EN

The choice of C/C++ compiler significantly impacts the performance and energy consumption of multithreaded numerical algorithms related to linear algebra. This study investigates the effects of the C/C++ compiler choice and processor frequency scaling (using dynamic voltage frequency scaling) on the performance and energy consumption of the multithreaded WZ factorization on three different computing platforms, two featuring Intel Xeon processors and one featuring AMD EPYC processor. The factorization is implemented both without optimization techniques and with strip-mining. Based on time and energy tests, we have demonstrated that, for the WZ factorization (in both implementations), each compiler reacts somewhat differently to frequency changes, thus affecting overall performance and energy consumption. The Intel compilers achieved the best performance and energy savings in a multithreaded environment compared to the other compilers on each of the tested computing platforms.

2

Self-reflection in leadership: does this distinguish a good leader from a bad one?

Samul Joanna

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

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2024

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z. 200

403--418

EN

Purpose: Self-reflection competence is recognized as a key leadership skill that leads to learning from one's own experiences, drawing conclusions, and shaping one's actions in the future with a sense of job satisfaction. At the same time, research in the field of leadership is insufficient on this topic. Therefore, this article aims to determine the significance of the self¬reflection competence of a leader for organizational commitment, well-being, and organizational performance, which can be a measure of good leadership. Design/methodology/approach: The research was conducted among 200 managers of Polish enterprises from October 2022 to January 2023. In this study, the online questionnaire and convenience sampling were used. Findings: The analysis results indicate a positive and significant impact of self-reflection competence on well-being, commitment, and organizational results, contributing to the development of a comprehensive approach to leadership. Research limitations: Firstly, the research sample is not large. Secondly, the study used a self¬reflection competence scale that included general statements about reflection. It was not asked how often the leader practices reflection and whether it concerns positive or negative aspects. Practical implications: Leaders in organizations should remember to practice reflections, which should not be an activity only in exceptional circumstances, but rather a part of the routine of everyday professional duties. Leaders should also engage employees in reflection practices, as collective reflection brings value to the organization. Originality/value: The significance of self-reflection competency contributes to theory and practice toward a comprehensive approach to leadership.

3

Wpływ światła niebieskiego na aktywność fizyczną człowieka

Stępnowski Karol

Roczniki Studenckie Akademii Wojsk Lądowych

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2024

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R. 8

7--23

PL

Artykuł prezentuje analizę wpływu jaki wywiera światło niebieskie emitowane przez ekrany na organizm człowieka w tym poziom jego aktywności fizycznej. Autor przyjmuje założenie, że podstawą do podejmowania aktywności fizycznej i wydajności w tym działaniu, jest regeneracja w szczególności odpowiednia długość i jakość snu. W tekście dowodzi, że narażenie na zwiększone oddziaływanie światła niebieskiego przed snem, wpływa negatywnie na jego jakość oraz cykl dobowy organizmu człowieka, tym samym regeneracji. Co przekłada się na pogorszenie wydajności organizmu w aktywności fizycznej oraz samą częstotliwość podejmowania regularnej aktywności fizycznej.

EN

The article conducts a detailed examination of the effects of blue light exposure from digital screens on physiological functions, specifically focusing on its implications for physical activity levels. The author theorizes that the cornerstone of both physical activity and optimal performance within these activities is dependent upon adequate regeneration, underscored by sufficient sleep duration and quality. The findings elucidate that increased exposure to blue light pre-sleep detrimentally alters sleep quality and disrupts the human circadian rhythm, thereby impairing regenerative processes. This disruption subsequently leads to a decrease in physiological efficiency and a reduction in the regularity of physical activity.

4

Improving the Performance of Hybrid SystemBased Renewable Energy by Artificial Intelligence

Kechida Abdelhak, Gozim Djamal, Toual Belgacem

Power Electronics and Drives

|

2024

|

Vol. 9 (44)

397--411

EN

Artificial intelligence (AI) has emerged as a critical indicator of technological progress in recent years. The present study uses AI to enhance the efficiency of a hybrid system that operates on renewable energy sources. The hybrid system we propose consists of a wind energy conversion system (WECS), a photovoltaic system (PVS), a battery storage system (BSS) and electronic power converters. AI manages these converters cleverly. We use the maximum power point tracking (MPPT)-based fuzzy logic controller (FLC) to regulate the boost converter in the PVS and the WECS. We propose an adaptive neuro fuzzy inference system (ANFIS)-based controller to control the bidirectional converter of the storage system. The design of this module intends to maintain voltage stability on the direct current (DC) bus and improve energy quality. We study and simulate this system using MATLAB/SIMULINK. The results of this research show that the FLC-MPPT technique outperforms the Perturb and Observe (P&O) algorithm in terms of efficiency in power production. The console we propose also shows good results in maintaining the voltage stability in the DC bus in comparison with the proportional integral (PI) controller. This paper has the potential to contribute to the development of environmentally friendly resource performance.

5

Numerical study of the scale effect on flow around a propeller using the CFD method

Van-Vu Huynh, Le Tat-Hien, Thien Doan Minh, Tao Tran Van, Ngoc Tu Tran

Polish Maritime Research

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2024

|

nr 2

59--66

EN

This paper presents an investigation of the scale effect on the flow around a propeller using the CFD method. The differences in the numerical setup and the results obtained for the characteristics of an open water propeller are described and analysed in this paper. Moreover, the paper also highlight and analyse the scale effect on differences in flow around the propeller, such as the pressure fields in the cross section, the distributions of the skin friction coefficient and limiting streamlines on the propeller blade, the vortices in the wake of the propeller, and the velocity fields. The differences in the flow around the propeller are more clearly seen when it works under heavy loading conditions, an important finding that can support designers in improving propeller performance, investigating cavitations, etc. at the full scale. The reference propeller used in this study is the benchmark propeller PPTC VP 1304.

6

Quality management and controlling in manufacturing enterprises versus their performance

Potkany Marek, Stasiak-Betlejewska Renata, Gejdos Pavol, Grofčíková Janka

Polish Journal of Management Studies

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2024

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Vol. 30, No. 2

214--229

EN

The application of principles of quality management and controlling has already been established in the business environment with the potential of numerous benefits and performance impacts. The aim of the research is to identify the scale of use of both management approaches in Slovak manufacturing enterprises and evaluate their perception in terms of capital structure vs. performance. The research aim prioritizes a strategic approach to quality and controlling that enables to identify its real understanding and application in the contemporary enterprises management. In research period 2022-23, a questionnaire survey and structured interviews were conducted to obtain 356 responses from managers of manufacturing enterprises. The Chi-square goodness-of-fit test was applied for the representativeness test. In addition, the 95% interval estimate of relative frequencies and the two-sample test were applied for hypothesis testing. The study identified a statistically significant difference between the capital structure of manufacturing enterprises and their overall understanding and practical application of quality management and controlling methods or approaches, in relation to the performance measured by the ROS indicator.

PL

Stosowanie zasad zarządzania jakością i controllingu jest już ugruntowane w środowisku biznesowym, oferując potencjał licznych korzyści i wpływu na wyniki działalności. Celem badania jest zidentyfikowanie skali wykorzystania obu podejść zarządczych w słowackich przedsiębiorstwach produkcyjnych oraz ocena ich postrzegania w kontekście struktury kapitałowej w odniesieniu do wyników. Badanie koncentruje się na strategicznym podejściu do zarządzania jakością i controllingu, które pozwala zidentyfikować rzeczywiste rozumienie i zastosowanie tych metod w zarządzaniu współczesnymi przedsiębiorstwami. W okresie badawczym 2022-2023 przeprowadzono ankietę oraz wywiady strukturyzowane, uzyskując 356 odpowiedzi od menedżerów przedsiębiorstw produkcyjnych. W celu sprawdzenia reprezentatywności zastosowano test dopasowania Chi-kwadrat. Ponadto zastosowano 95-procentowy przedział ufności dla częstości względnych oraz test dwupróbkowy do weryfikacji hipotez. Badanie wykazało istotną statystycznie różnicę pomiędzy strukturą kapitałową przedsiębiorstw produkcyjnych a ich ogólnym zrozumieniem i praktycznym zastosowaniem metod lub podejść związanych z zarządzaniem jakością i controllingiem, w odniesieniu do wyników mierzonych wskaźnikiem ROS.

7

Diagnosis of the formation damage process using the theory of catastrophe

Mammadov Ramil M., Sultanova Arzu V.

Nafta-Gaz

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2024

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R. 80, nr 8

495--500

EN

A broad area of interdisciplinary research, commonly referred to as nonlinear science, includes nonlinear thermodynamics, catastrophe theory, dynamic chaos theory, and fractal mathematics. This field has produced numerous influential figures, many books, and countless articles. Many popular books have been published on the theory of catastrophes, chaos, and fractals. Systems studied by nonlinear science are usually called complex; their properties are not reducible to those of their components and exhibit newly emerging, or “emergent” features. A catastrophe is an abrupt change that occurs as a sudden response of a system to a gradual change in external conditions. The mathematical description of phenomena associated with sharp and qualitative changes is provided by the theories of singularities and bifurcations. Bifurcations (catastrophes) are discontinuities in systems described by smooth (continuous) functions. This article attempts to make an adaptive operational decision aimed at preventing complications arising from sand production in wells, based on the application of catastrophe theory and mathematical and statistical tools. The influence of sand production on well productivity, particularly the associated plug formation, is a relevant issue and pertinent research focus today. The physical cause of the sand plug’s effect is that due to the small cross-section of the wellbore, the sand plug located above the productive horizon acts as a downhole fitting, creating significant resistance to the upward flow. Early diagnosis of the onset of near-wellbore zone damage and the transition of wells to sand-producing status is crucial. In addition, timely control of complications related to sand removal during the complete distortion of the bottomhole zone, when the sand production process is fully established, is of great relevance. The effectiveness of measures to prevent the complications in operation process depends on the validity and efficiency of such control.

PL

Szeroki obszar badań interdyscyplinarnych, powszechnie określany jako nauka nieliniowa, obejmuje nieliniową termodynamikę, teorię katastrof, dynamiczną teorię chaosu i matematykę fraktalną. Dziedzina ta zaowocowała wieloma wpływowymi postaciami, książkami i niezliczonymi artykułami. Opublikowano wiele popularnych książek na temat teorii katastrof, chaosu i fraktali. Systemy badane przez nauki nieliniowe są zwykle nazywane złożonymi; ich właściwości nie dają się zredukować do właściwości ich komponentów i charakteryzują się nowo powstającymi cechami. Katastrofa to gwałtowna zmiana, która występuje jako nagła reakcja systemu na stopniową zmianę warunków zewnętrznych. Matematyczny opis zjawisk związanych z szybkimi i jakościowymi zmianami zapewniają teorie osobliwości i bifurkacji. Bifurkacje (katastrofy) są nieciągłościami w systemach opisanych przez ciągłe funkcje. W artykule podjęto próbę sformułowania adaptacyjnej decyzji operacyjnej mającej na celu zapobieganie komplikacjom, wynikającym z procesu piaszczenia w odwiertach, w oparciu o zastosowanie teorii katastrof oraz narzędzi matematycznych i statystycznych. Wpływ piaszczenia na produktywność odwiertu, a w szczególności na związane z tym tworzenie się korka piaskowego, jest obecnie istotnym zagadnieniem i przedmiotem badań. Efekt piaszczenia polega na tym, że ze względu na mały przekrój otworu wiertniczego, korek piaskowy znajdujący się nad horyzontem produkcyjnym działa jak armatura wiertnicza, wytwarzając znaczny opór podczas przepływu w górę. Kluczowe znaczenie ma wczesna diagnostyka uszkodzeń strefy przyodwiertowej i przejście odwiertu w stan piaszczenia. Ponadto, bardzo istotna jest terminowa kontrola komplikacji związanych z usuwaniem piasku przy całkowitym zniekształceniu strefy przyodwiertowej, gdy proces piaszczenia jest już w pełni rozwinięty. Skuteczność środków zapobiegających komplikacjom w procesie eksploatacji zależy od zasadności i skuteczności takiej kontroli.

8

Study of the mechanical properties, durability, and microstructure of an ultra-high-performance fiberreinforced concrete containing recycled fillers

Lekoui Mohamed Tahar, Kechkar Chiraz, Hebhoub Houria, Messaoudi Karima, Alsayadi Hamid, Benhalilou Mohamed Ichem

Materials Science Poland

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2024

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Vol. 42, No. 3

1--16

EN

In this article, a specific mix design of the ultrahigh-performance fiber-reinforced concrete (UHPFRC) was proposed and applied for Algerian materials that are currently in use. In the absence of a general mix design that limits their use and reuses waste materials, the present mix design can help reduce the high manufacturing cost of this type of concrete and make it more environmentally friendly. Here, we have looked for a reference mix design based on local ordinary aggregates, and then, we introduced the recycled fillers from ceramic waste and granulated blast furnace slag into our mix design, and we studied their effects on the properties of the fresh state (density, workability, and air content) and in the hardened state, namely compressive and flexural tensile strength,modulus of elasticity, ultrasonic and sclerometer resistance, as well as durability tests (capillary and immersion absorption, porosity, and chemical resistance). Themicrostructure analysis was carried out using scanning electron microscopy, complemented by energy-dispersive X-ray spectroscopy. Comparison of the results of UHPFRC using ceramic waste and slag fillers with the control UHPFRC after 28 days shows an increase in compressive strengths of approximately 8 and 7%, respectively, aswell as an increase in flexural tensile strengths of 17 and 2%, respectively. In addition, there was a decrease in porosity of 17 and 42%, respectively. The results reveal that it is possible to produce UHPFRC based on local materials and improve its performance, durability, and microstructure with recycled fillers.

9

Evaluation and improvement of a plastic production system using integrated OEE methodology: a case study

ALMashaqbeh Sahar, Hernandez Eduardo Munive

Management Systems in Production Engineering

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2024

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nr 3 (32)

450--463

EN

Overall equipment effectiveness (OEE) is a key indicator to measure the effectiveness of production systems. This paper aims to evaluate and improve a plastic production line based on OEE evaluation. An integrated framework is proposed to enhance the production system efficiency. This paper presents the data for a Plastic production line in Jordan under real working conditions. The data covers three months. A framework process to improve the OEE of the Plastic production system was proposed. Six major stoppage losses were inspected with the help of Pareto analysis. Furthermore, the actual availability, efficiency, and quality rate measures, together with the whole OEE for each working day, week, and month of the production line were shown. The methodology is based on determining the OEE of a Plastic production line after determining the causes of failures. The fishbone diagram tool is used to determine the root causes of failures. To improve the OEE measure, several losses are identified. The results reveal that the company should improve its policy to improve the production line’s performance and reduce losses. Top management should also pay attention to reducing the speed losses, which consist of 58.1%, and eliminate the planned and unscheduled disruptions covering 12.73% of all losses. This can be achieved by establishing a proper operation management procedure and strategy. This, in turn, optimized the equipment’s effectiveness. The quality procedure should include the changeover program that may be executed every day. Similarly, all preventive maintenance procedures for the six machines should be properly executed in predetermined intervals. There are several limitations in the research. Firstly, the research case study is only the plastic production system. Secondly, the research is related to the downtime or stoppage by analyzing it using fishbone diagram. Further, supported by other techniques such as the Pareto chart, six big losses analyses and CED. This research conducted on a Plastic industry. However, similar studies can be carried out in future in other manufacturing industries like electronic, pharmaceutical, textile industries, etc., and service industry. However, as future research work the contributions of this paper with other lean manufacturing concept like six sigma, quality function deployment, TQM, and just-in-time manu-facturing, can also be conducting to assess the overall production line efficiency. On the other hand, several statistical tests can be implemented based on data collected of TPM performance indicators. The proposed method supports policymakers in their decision-making process on the operations management line. Further-more, it improves the production systems’ productivity quality, and performance, reducing unplanned stop-pages and breakdowns, and reducing maintenance costs.

10

Building SME performance through relationship quality. The role of supply chain flexibility

Cyfert Szymon, Szumowski Witold, Glabiszewski Waldemar

LogForum

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2024

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Vol. 20, no. 1

71--80

EN

Background: Although the existing literature has examined the connection between relationship quality and SME performance, no attempt has been made to assess the impact of supply chain flexibility on this association. The impact of supply chain flexibility is important because although SMEs are inherently more flexible than large firms, allowing them to respond more quickly to changing customer needs and environmental conditions, they seek to build their advantage on relational resources due to their limited financial and human resources. However, previous research suggests that maintaining relationship quality is costly and not always cost-effective. This raises the question of whether relationship quality affects SME performance per se or whether it has an indirect effect through supply chain flexibility. The purpose of this article is to examine the role that supply chain flexibility plays in the connection between relationship quality and SME performance. Methods: Combining relationship quality with SME performance, we analysed how supply chain flexibility moderates this association. Data collected from 1286 Polish SMEs using the CAPI method were analysed using SEM modelling. Results: The results confirm the direct impact of relationship quality on both supply chain flexibility and SME performance. The study also provides empirical evidence that supply chain flexibility moderates the impact of relationship quality on SME performance and that this impact is stronger than the direct impact of relationship quality on SME performance. Conclusions: Our findings have important implications for SME managers, providing arguments for the desirability of managing relationship quality in conjunction with supply chain flexibility. While previous research suggests that relationship quality is important for SMEs because it can be treated as a substitute for limited tangible assets as well as financial, infrastructural and human resources, our research has demonstrated the desirability of building relationship quality in conjunction with supply chain flexibility, which seems to be an important insight given the limited resources of SMEs.

11

The Influence of Using Biodiesel Prepared from Cresson Oil on Emissions and Performance of CI Engines

Imran Murtdha S., Saleh Fouad Alwan

Journal of Ecological Engineering

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2024

|

Vol. 25, nr 1

84--98

EN

The experimental study was conducted to investigate the effect of using Cresson oil biodiesel on CI engine emissions and performance. This research aimed to examine how using innovative biodiesel blend formulations made from Cresson oil affected the performance and emissions of CI engines. The proportion of Cresson oil biodiesel added to conventional Iraqi diesel fuel into volume amounted to 10%, 20%, 40%, 60%, 80%, and 100%. The engine compression ratio was set to 18, and the fuel injection timing was set at 23º bTDC. The experiments show that this biodiesel reduces the thermal efficiency, heat release, delay time, and cylinder pressure of the engine while increasing the exhaust temperature (EGT) and brake-specific fuel consumption (BSFC). There has been an increase in emissions of nitrogen oxides (NOX) and carbon dioxide (CO2), in addition to a reduction in emissions of carbon monoxide (CO), soot, and unburned hydrocarbons (HC).

12

A Simulation of the Impact of Biodiesel Blends on Performance Parameters in Compression Ignition Engine

Saleh Fouad Alwan, Allawi Mohammed Kadhim, Imran Murtdha S., Samarmad Ahmed Oleiwi

Journal of Ecological Engineering

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2024

|

Vol. 25, nr 7

1--7

EN

Recently, there has been significant interest in biodiesel, since it depends on renewable resources, which is essential given the increasing depletion of fossil fuels. Using palm oil in biodiesel production is an innovative application of botanical resources in this sector. Simulation research examined how blending palm oil with Iraqi conventional diesel influences engine performance. The impact of several mixtures, consisting of different proportions (5%, 10%, 15%, and 20%) of palm oil and diesel, on engine fuel consumption, volumetric efficiency, torque, brake mean pressure, brake power, and thermal efficiency was evaluated in each case. The study found that using palm oil fuel at a mixing ratio of 20% resulted in a 4% increase in fuel consumption. Furthermore, a 3% enhancement in volumetric efficiency was also noted. Again, there was a noticeable reduction in the torque, power, and average adequate pressure levels across all diesel fuel mixing ratios compared to diesel fuel, which exhibits the highest value.

13

Performance analysis of working with relational and non-relational databases in Java applications

Caban Krzysztof, Czuchryta Paweł, Pańczyk Beata

Journal of Computer Sciences Institute

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2024

|

Vol. 33

298--305

EN

The article presents a performance analysis of connections to both relational and non-relational databases, critical components of the functionality of modern web applications. The study is concerned with evaluating the advantages of manually integrated database drivers compared to the comprehensive Spring Data module. In addition, the impact of the Spring Framework on the performance of drivers responsible for database connections was investigated. Based on the results obtained, there are performance benefits for CRUD operations when adding drivers manually and using the Spring Framework for JDBC and MongoDB drivers.

PL

Artykuł przedstawia analizę wydajności połączeń zarówno z relacyjnymi, jak i nierelacyjnymi bazami danych, krytycznymi komponentami funkcjonalności współczesnych aplikacji internetowych. Badanie dotyczy oceny zalet ręcznie zintegrowanych sterowników baz danych w porównaniu do kompleksowego modułu Spring Data. Ponadto zbadano wpływ Spring Framework na wydajność sterowników odpowiedzialnych za połączenia z bazami danych. Na podstawie uzyskanych wyników stwierdzono, że istnieją korzyści w zakresie wydajności dla operacji CRUD w przypadku ręcznego dodawania sterowników i korzystania ze Spring Framework dla sterowników JDBC i MongoDB

14

Analiza porównawcza wydajności wybranych systemów zarządzania bazami danych

Tracz Piotr Marcin, Plechawska-Wójcik Małgorzata

Journal of Computer Sciences Institute

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2024

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Vol. 31

89--96

PL

Obecnie w erze dużej ilości generowanych danych, dużym wyzwaniem staje się szybkie przetwarzanie danych. Celem artykułu jest dokonanie analizy porównawczej wydajności relacyjnych i nierelacyjnych baz danych na przykładzie MS SQL Server, MongoDB oraz CouchDB. Porównanie zrealizowano na podstawie opracowanych scenariuszy badawczych zaprojektowanych w taki sposób, aby zbadać czas realizacji operacji CRUD. Na podstawie otrzymanych wyników utworzono ranking wydajności bazdanych, w którym pierwsze miejsce zajęła baza MS SQLServer, drugie MongoDB, a trzecie CouchDB. Dla operacji usuwania, pobierania i aktualizacji danych najwydajniejszą bazą danych okazała się baza MS SQL Server. Jedynie przy operacji wstawiania danych najwydajniejszą bazą okazałosię MongoDB.

EN

Currently, in the era of large amounts of generated data, a significant challenge is fast data processing. The aim of the article is to conduct a comparative analysis of the performance of relational and non-relational databases using MS SQL Server, MongoDB, and CouchDB as examples. The comparison was carried out based on developed research scenarios designed to examine the execution time of CRUD operations. A performance ranking of databases was established based on the obtained results, with SQL Server taking the first place, MongoDB the second, and CouchDB the third. For the operations of deletion, downloading, and updating of data, MS SQL Server proved to be the most efficient database. Only in the operation of inserting data did MongoDB turn out to be the most efficient database.

15

Analiza porównawcza wydajności silników Unity i Unreal Engine w grach 3D

Abramowicz Kamil, Borczuk Przemysław

Journal of Computer Sciences Institute

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2024

|

Vol. 30

53--60

PL

W artykule porównano wydajność silników gier Unity i Unreal Engine na podstawie badań przeprowadzonych na dwóch bliźniaczo podobnych grach. Badania skupiły się na: liczbie klatek na sekundę, użyciu procesora (CPU), RAM i karty graficznej. Wyniki wykazały, że Unity osiągnął lepszą średnią liczbę klatek na sekundę. Unreal Engine wymagał większych zasobów pamięci RAM oraz karty graficznej. Przeanalizowane wartości obciążenia CPU pokazały, że na pierwszym stanowisku silnik Unity wymagał mniejszego użycia CPU. Natomiast na drugim stanowisku Unreal Engine wykorzystywał ponad 10 punktów procentowych CPU mniej. Wnioski z przeprowadzonych badań częściowo potwierdzają tezę, że Unity wymaga mniej zasobów komputera, choć w niektórych przypadkach Unreal Engine może wymagać mniej zasobów CPU.

EN

The article compared the performance of the Unity and Unreal Engine game engines based on tests conducted on two nearly identical games. The research focused on frames per second, CPU usage, RAM, and GPU memory. The results showed that Unity achieved a better average frame rate. Unreal Engine required more RAM and GPU resources. Analyzing CPU load values revealed that on the first system, Unity demanded less CPU usage. However, on the second system, Unreal Engine used over 10 percentage points less CPU. The conclusions from the research partially confirm the hypothesis that Unity requires fewer computer resources, although in some cases, Unreal Engine may demand fewer CPU resources.

16

Analiza porównawcza wydajności pomiędzy wersjami platformy .NET

Grzegorczyk Grzegorz, Plechawska-Wójcik Małgorzata

Journal of Computer Sciences Institute

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2024

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Vol. 33

251--257

PL

Artykuł analizuje wydajność tradycyjnych kontrolerów API w porównaniu do MinimalAPI w różnych wersjach platformy .NET, od 3.1 do 9 preview 3. Głównym celem było określenie, która technologia oferuje lepszą wydajność w obsłudze prostych zapytań HTTP. W celu przeprowadzenia analizy opracowano jedną aplikację w dwóch wariantach: jeden korzystający z tradycyjnych kontrolerów API, a drugi z MinimalAPI. Badanie dostarcza istotnych informacji na temat efektywności obu podejść w kontekście obsługi zapytań HTTP na różnych wersjach .NET, przyczyniając się do lepszego zrozumienia ich wydajności.

EN

The article analyzes the performance of traditional API controllers compared to MinimalAPI across various .NET platform versions, from 3.1 to 9 preview 3. The primary objective was to determine which technology offers superior performance in handling simple HTTP requests. For the analysis, a single application was developed in two variants: one using traditional API controllers and the other using MinimalAPI. This study provides significant insights into the efficiency of both approaches for handling HTTP requests on different .NET versions, contributing to a better understanding of their performance.

17

A New Application with Conditional Risk Matrix and Decision Rules: An Assessment of the Sustainability and Performance Electric Power Company

Couto Ayrton Benedito Gaia, Rangel Luís Alberto Duncan

Foundations of Computing and Decision Sciences

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2024

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Vol. 49, No. 3

233--260

EN

The 2030 Agenda for Sustainable Development of the United Nations General Assembly focuses on economic development, poverty cessation, environmental sustainability, and good governance at all levels, including peace and safety. For electric power distribution concessionary companies in Brazil, it is necessary to evaluate their sustainability and performance according to the parameters laid by the National Electric Power Agency (ANEEL). For that purpose, sixty-two indicators were assembled that were directly and indirectly associated with sustainability for 38 companies in the period-2013-2021. This study proposes a new application with a conditional risk matrix and decision rules aimed at the integrated assessment of sustainability and performance of electric power companies using the conditional probability of indicators in the ascent or descent of the companies’ classification. A set of “if..., then...” decision rules were inferred by the algorithm VC-DomLEM using concepts from the Rough Sets Theory and the Dominance principle, Dominance-based Rough Set Approach (DRSA).

18

Performance of a Vortex Turbine With Modifications to Flow Angle, Blade Inclination, and Flow Velocity for a Cylindrical Basin

Sinuraya Imanuel, Sitorus Tulus Burhanuddin, Kamil Idham, Ilmi Bakhrul

Ecological Engineering & Environmental Technology

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2024

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Vol. 25, iss. 12

132--146

EN

The aim of this research was to improve the performance of vortex turbines by testing the performance of vortex turbines using experimental methods, with test variables including blade tilt, flow speed, and vortex turbine impeller material using PLA (polylactic acid). Tests were conducted on a laboratory-scale gravitational water vortex turbine (GWVT) with a pool diameter of 1 meter and a height of 0.8 meters. The test results showed that the turbine with 5 blades produced a maximum torque of 5.89 Nm and an efficiency of 51.10%. The turbine with 7 blades produced a maximum torque of 7.85 Nm and an efficiency of 58.51%. The highest efficiency, 64.69%, was achieved by the 9-bladed turbine, which also had a maximum torque of 8.83 Nm. Experimental tests showed that this laboratory-scale vortex turbine achieved a maximum power output of 87.28 watts, with an efficiency of 56.66% and a torque of 9.81 Nm, using a 9-bladed turbine at a water velocity of 2.5 m/s. These results certainly show an improvement compared to previous reference studies, where the use of materials with lower density, higher blade angle, and larger blade geometry can improve the performance of vortex turbines.

19

Effect of Inclination and Thermoelectric Material on the Performance of Solar PV-Thermo Electric Cooling System

Babu Sajja Ravi, Basha Shaik Ahammad, Sasikumar Gnanasekaran, Kumar Prathipati Pradeep

Ecological Engineering & Environmental Technology

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2024

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Vol. 25, iss. 7

251--259

EN

Solar photovoltaic (PV) systems, coupled with thermo-electric cooling, have gained significant attention as an eco-friendly solution. To enhance energy efficiency and reduce the overall environmental impact of energy generation and consumption, it is a viable option. This study investigates the impact of critical parameters, namely inclination angle of solar panels, the type of material used in thermo-electric cooling modules, on the performance of a solar PV-thermo electric cooling system. In this research, the impact of inclination angles (15°, 20°, 25°) and two materials (Bismuth telluride and Peltium telluride) of thermoelectric were considered for this study. A comprehensive series of experiments were conducted to analyze the impact of varying inclination angles of the solar panels and material of thermoelectric cooler. The average incident irradiation, panel temperature and outpower of solar panel variation with time are presented. The optimum tilt angle of the solar panel is observed as 20° and material for thermoelectric cooler is Bismuth telluride. When using Bismuth telluride as a thermoelectric material with 20° tilt angle, the solar panel’s temperature decreases by 14% and its outpower is augments by a maximum of 14.5%. The results presented here offer practical guidance for system design and operation, ultimately promoting the widespread adoption of this technology in a more environmentally conscious manner.

20

Artificial Neural Networks vs Long Short-Term Memory Prediction of Solid Flow in Tafna Basin (North-West Algeria)

Medfouni Mohamed Nadjib, Korichi Khaled, Marouf Nadir

Ecological Engineering & Environmental Technology

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2024

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Vol. 25, iss. 3

275--286

EN

The main objective of this work is to select the most reliable machine learning model to predict the generated solid flow in the Tafna basin (North-West of Algeria). It is about the artificial neural networks (ANN) and long short-term memory (LSTM). The sediment load is recorded through three hydrometric stations. The efficiency and performance of the two models is verified using the correlation coefficient (R2), the Nash-Sutcliffe coefficient (NSC) and the root mean square error (RMSE). The obtained simulated solids load shows a very good correlation in terms of precision although the ANN model gave relatively better results compared to the LSTM model where low RMSE values were recorded, which confirms that the artificial intelligence models remain also effective for the treatment and the prediction of hydrological phenomena such as the estimation of the solid load in a such watershed.