Wyniki wyszukiwania - BazTech

1

High availability model of a web service from a system administrator’s perspective

Wirski Robert Tomasz

Zeszyty Naukowe Politechniki Morskiej w Szczecinie

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2024

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nr 77 (149)

99--106

EN

Based on cloud providers’ reports on service outages, it has become clear that how a web service is deployed is of great importance. Clearly, using one service supplier is insufficient because it introduces single points of failure. In this paper, a novel high-availability multi-cloud model intended for a web service is proposed, which is free from such shortcomings yet preserves convenient assets of computing clouds. The methodology used to improve web service availability should involve several cloud suppliers and devise management techniques that control access to them. This is achieved by means of the server availability tracking algorithm, which controls client apps’ access to the service. Moreover, typical benefits and problems involved in choosing IT infrastructure for a web service are elaborated. State-of-the-art cloud computing models, such as IaaS, PaaS, SaaS, BPaaS, and INaaS, are outlined. Operating systems statistics used for web services are included. Open-source monitoring software solutions are gathered, which help administrators to monitor and govern web servers.

2

Current Approaches in Traffic Lane Detection: a minireview

Aron Csato, Florin Mariasiu

Archiwum Motoryzacji

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2024

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Vol. 104, nr 2

19--47

EN

The continuous development and importance of the field of road transport these days make it necessary to design, develop and implement technological solutions that reduce (eliminate as much as possible) the risk of road accidents. Such a technological solution is also represented by advanced driver assistance systems (ADAS), systems that assist drivers in various ways, such as collision avoidance, automatic parking, adaptive cruise control, attention and lane departure warnings. Over the next ten years, there will likely be a rise in the need for ADAS system deployment in automobile construction, driven by consumer and regulatory interest in safety applications that protect drivers and lower accident rates. At the moment, autonomous emergency braking and forward collision warning systems are mandated for all cars in the US and the EU. Additionally, advanced driver assistance systems (ADAS) may soon distinguish automobile brands and have a significant impact on consumer preference. The present work aims to provide a general picture related to the current research and development of ADAS systems that refer to the detection of the traffic lane and lane markings. The approaches are presented regarding: the current development directions of ADAS systems, current traffic lane detection techniques, traffic lane detection methods and the use of artificial intelligence techniques in this field. The general conclusion is that further research is needed in the field, research to increase the performance of traffic lane detective systems by using advanced algorithms and easy-to-implement methods that do not require large hardware resources.

3

Fast Segmentation of Convex Cyst-like Structures in Gelatin Soft Tissue Phantoms under Ultrasound Imaging with Artifacts and Limited Training Samples

Drozd Dalia, Ciszkiewicz Adam

Advances in Science and Technology. Research Journal

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2024

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Vol. 18, no 4

89--96

EN

Ultrasound imaging is common for surgical training and development of medical robotics systems. Recent advancements in surgical training often utilize soft-tissue phantoms based on gelatin, with additional objects inserted to represent different, typically fluid-based pathologies. Segmenting these objects from the images is an important step in the development of training and robotic systems. The current study proposes a simple and fast algorithm for segmenting convex cyst-like structures from phantoms under very low training sample scenarios. The algorithm is based on a custom two-step thresholding procedure with additional post-processing with two trainable parameters. Two large phantoms with convex cysts are created and used to train the algorithm and evaluate its performance. The train/test procedure are repeated 60 times with different dataset splits and prove the viability of the solution with only 4 training images. The DICE coefficients were on average at 0.92, while in the best cases exceeded 0.95, all with fast performance in single-thread operation. The algorithm might be useful for development of surgical training systems and medical robotic systems in general.

4

Examination of a magnetorheological damper control system with vibration energy harvesting

Jastrzębski Łukasz, Sapiński Bogdan

Acta Mechanica et Automatica

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2024

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Vol. 18, no. 1

158--168

EN

The study deals with the experimental examination of a magnetorheological (MR) damper control system with vibration energy harvesting using a specially engineered electronic unit (EU). Unlike a typical MR damper control system, which requires an external energy source, the developed system is powered exclusively by energy extracted from a vibrating structure (mechanical system with one-degree-of freedom) and processed through the EU. The work describes the structure and functions of the EU, presents the test rig and the control algorithm implementation, and discusses the test results of the control system under harmonic kinematic excitations of low frequency range.

5

Optimal docking problem of UAV at detected moving object

Nabadova Lamiya

Zeszyty Naukowe. Transport / Politechnika Śląska

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2023

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z. 120

205--214

EN

In the article, the problem of detecting a suspicious object in the control by unmanned air vehicle (UAV) and tracking it by reaching and changing its direction in the shortest period of time is explored. To solve this optimal control problem, it is considered that the flight of UAV is described with simple motion equations. In the beginning, known quantities are current coordinates and speed of UAV, equation of motion of detected suspicious object.

6

Prediction of ship's speed through ground using the previous voyage's drift speed

Yamane D., Kano T.

TransNav : International Journal on Marine Navigation and Safety of Sea Transportation

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2023

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Vol. 17 No. 1

129--137

EN

In recent years, 'weather routing' has been attracting increasing attention as a means of reducing costs and environmental impact. In order to achieve high-quality weather routing, it is important to accurately predict the ship's speed through ground during a voyage from ship control variables and predicted data on weather and sea conditions. Because sea condition forecasts are difficult to produce in-house, external data is often used, but there is a problem that the accuracy of sea condition forecasts is not sufficient and it is impossible to improve the accuracy of the forecasts because the data is external. In this study, we propose a machine learning method for predicting speed through ground by considering the actual values of the previous voyage’s drift speed for ships that regularly operate on the same route, such as ferries. Experimental results showed that this method improves the prediction performance of ship’s speed through ground.

7

Maszyna Turinga - podstawy działania i programowania

Gawryś Katarzyna

MINUT Matematyka i Informatyka na Uczelniach Technicznych

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2023

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Nr 5

264-272

PL

Maszyna Turinga jest opracowanym przez Alana Turinga ideowym modelem programowania. Ten abstrakcyjny model urządzenia służył do zapisu i wykonania algorytmów. Niniejszy artykuł opisuje budowę i sposób działania maszyny Turinga oraz zasady zapisu algorytmów w postaci tabeli przejść. W artykule umieszczono przykład użycia symulatora maszyny Turinga do rozwiązania przykładowego zadania. Analiza zamieszczonego przykładu, pozwoli odbiorcy, na przyswojenie sposobu szukania rozwiązania problemu, dla ideowego modelu komputera, jakim jest maszyna Turinga.

8

Innovative stress analysis and machine learning forecasting for semi-trailer truck body durability

Lyashuk Oleh, Levkovych Mykhailo, Stashkiv Mykola, Pastukh Oleh, Martyniuk Volodymyr, Mironov Dmytro, Rabe Marcin, Vovk Yuriy

Journal of Sustainable Development of Transport and Logistics

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2023

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Vol. 8, No. 2

43--57

EN

This article presents an in-depth analysis of the stress-deformation state (SDS) in the bottom structure of a semi-trailer truck body. Engineering analysis was conducted utilizing the SolidWorks software, focusing on a comprehensive CAD model of the semi-trailer truck body. The study explored variations in SDS parameters resulting from alterations in the geometric parameters of the body bottom elements. The research investigated alterations in static stress and displacement relative to changes in the proportions of the cross-section of the channel while maintaining fixed geometric dimensions of the workpiece, thickness of the workpiece, and the material of the body bottom. Graphical representations were generated to illustrate the variations in static stress, displacement, and safety margin concerning the thickness of the shelf and channel. Additionally, dependencies were derived that correlate static stresses in the channel with the thickness of the channel wall and the thickness of the body bottom sheet. The study results were compiled and summarized, offering valuable insights into the stress-deformation state of the semi-trailer truck body's bottom. Furthermore, machine learning techniques, specifically the RandomForest algorithm, were implemented in a Python environment to predict changes in static stress based on various factors. The model's predictions were validated by comparing predicted static stress values with actual values on a test sample. These findings facilitate efficient selection of appropriately sized elements by predicting static stress values, employing the RandomForest machine learning algorithm.

9

Advanced cascaded scheduling for highly autonomous production cells with material flow and tool lifetime consideration using AGVs

Miller Eddi, Engelmann Bastian, Kaupp Tobias, Schmitt Jan

Journal of Machine Engineering

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2023

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Vol. 23, No. 3

69--85

EN

In today’s manufacturing systems, especially in Industry 4.0, highly autonomous production cells play an important role. To reach this goal of autonomy, different technologies like industrial robots, machine tools, and automated guided vehicles (AGV) are deployed simultaneously which creates numerous challenges on various automation levels. One of those challenges regards the scheduling of all applied resources and their corresponding tasks. Combining data from a real production environment and Constraint Programming (CP-SAT), we provide a cascaded scheduling approach that plans production orders for machine tools to minimize makespan and tool changeover time while enabling the corresponding robot for robot-collaborated processes. Simultaneously, AGVs provide all production cells with the necessary material and tools. Hereby, magazine capacity for raw material as well as finished parts and tool service life are taken into account.

10

Determining the Correction Factors of Overhead-Conductors in 6kV Mining System of QuangNinh, VietNam with the Consideration of Power Harmonic Impact

Giang Vu Hoang, Thanh Le Xuan

Inżynieria Mineralna

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2023

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no. 2, vol. 1

71--78

EN

Understanding the impact of power harmonic on energy transmission play an important role not only in the operation process but also in the designing procedure of MV grid. In 6kV mining grids of Vietnamese coal mines, because of rapidly utilizing the power electronic machines, the power quality violation occurs very frequently. This lead to many disadvantages such as: the increase of power losses, voltage distortion, over-heating in transformers and conductors. Moreover, the presence of power harmonic bring the bad impact of skin effect and proximity on conductor including overhead-conductors and cables. The actual operation exhibits that the losses of transmission lines are approximately over 50% of total network losses. If there are power quality violation, this amount could be higher. Basing on investigating the fact of power harmonic violations in 6kV grid of both underground and surface mines, the paper will analyze this kind of impact. An algorithm relying on Matlab programming is used to calculate the energy losses. Results are compared with on-site measurement datas and lab-measurement to obtain series of correction factors corresponding to individual line’s cross section. The outcomes of research could be applicable for power utilities to have better analysis in the designing stage of mining MV grids.

11

Modeling and analysis of the characteristics of multichannel and multi-node computer networks with priority service

Huseynov Zakir Nasib, Mammadov Mahil Isa, Ismayilov Togrul Atabay

Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska

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2023

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T. 13, nr 2

74--77

EN

The subject of the research is modeling and analysisof the characteristics of multichannel and multi-node computer networks with priority services. The work is devoted to the study of the qualitative indicators of the functioning of computer networks with priority service.In this work, mathematical modelsare developed that make it possible to assess the quality of functioning of modern computer networks, taking into account thenumber of channels, waiting places in network nodes and the number of network nodes. The proposed methods for calculating the probability of failures andthe probability of timely delivery of a stream of requests make it possible to determine the real values of the qualitative indicators of the functioningof computer networks and are suitable for both designed and operating computer networks. The proposed technique makes it possible to determinethe number of packets in the queue and the optimal amount of buffer memory in computer network nodes.

PL

Przedmiotem badań jest modelowanie i analiza charakterystyk wielokanałowych i wielowęzłowych sieci komputerowych z usługami priorytetowymi. Praca poświęcona jest badaniu jakościowych wskaźników funkcjonowania sieci komputerowych z usługami priorytetowymi. W pracy opracowano modele matematyczne umożliwiające ocenę jakości funkcjonowania nowoczesnych sieci komputerowych z uwzględnieniem liczby kanałów, miejsc oczekiwania w węzłach sieci oraz liczby węzłów sieci. Proponowane metody obliczania prawdopodobieństwa awarii i prawdopodobieństwa terminowego dostarczenia strumienia żądań umożliwiają określenie rzeczywistych wartości wskaźników jakościowych funkcjonowania sieci komputerowych i są odpowiednie zarówno dla projektowanych, jak i działających sieci komputerowych. Proponowana technika umożliwia określenie liczby pakietów w kolejce i optymalnej ilości pamięci buforowej w węzłach sieci komputerowej.

12

Spatial Assessment and Mapping of Water Quality in Lake Sentani (Indonesia) Using In-Situ Data and Satellite Imagery

Tanjung Rosye Hefmi Rechnelty, Indrayani Ervina, Hamuna Baigo, Agamawan Lalu Panji Imam, Alianto

Ecological Engineering & Environmental Technology

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2023

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Vol. 24, iss. 9

71--83

EN

This study aims to examine the water quality of Lake Sentani using both in-situ data and satellite remote sensing data. In-situ data was taken in July 2023 at 18 sampling sites, including temperature, DO, pH, TDS, and water transparency. In-situ data is also used to develop and validate algorithms for estimating water quality from satellite remote sensing data. Multi-temporal Landsat-8 satellite imagery was used to spatially and temporally map the surface water quality of Lake Sentani. In-situ data showed temperature, DO, pH, TDS, and water transparency ranging from 29.3°C to 31.8°C, 1.7 mg/L to 7.9 mg/L, 7.75 to 8.64, 23 mg/L to 46 mg/L, and 2.28 m to 2.94 m, respectively. Only water transparency does not meet the quality standards for water quality (class 1 and class 2), while the other parameters meet class 1 to class 3 quality standards for surface water samples. The accuracy of the algorithm used and the resulting one has a low Mean Absolute Error value, namely 0.81 (temperature), 0.37 (DO), 4.84 (TDS), and 0.12 (water transparency). The temperature and TDS concentrations from the satellite imagery data ranged from 28.110°C to 33.918°C, and 7.829 mg/L to 102.702 mg/L, respectively. Both of these parameters still meet water quality standards. The DO concentrations ranged from 2.228 mg/L to 12.562 mg/L, and water transparency ranged from 0.424 m to 3.151 m. The concentration of DO and water transparency do not meet quality standards in several parts of Lake Sentani, especially in November and August.

13

Sub-optimal motion planning of one-chained, two-input nonholonomic systems

Duleba Ignacy, Karcz-Duleba Iwona

Bulletin of the Polish Academy of Sciences. Technical Sciences

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2023

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Vol. 71, nr 3

art. no. e145684

EN

In this paper three algorithms of motion planning for two-input, one-chained nonholonomic systems are presented. The classical Murray-Sastry algorithm is compared with two original algorithms aimed at optimizing energy of controls. Based on the generalized Campbell- Baker-Hausdorff-Dynkin formula applied to the systems, some observations are made concerning the optimal relationship between amplitudes and phases of harmonic controls. The observations help to optimize a selection of controls and to design new algorithms for planning a sub- optimal trajectory between given boundary configurations. It was also shown that for those particular systems the generalized C-B-H-D formula is valid not only locally (as in a typical case) but also globally. Simulations performed on the five-dimensional chain system facilitate distinguishing the proposed algorithms from the Murray-Sastry algorithm and to illustrate their features. Systems in a chained form are important from a practical point of view as they are canonical for a class of systems transformable into this form. The most prominent among them are mobile robots with or without trailers.

14

Thermodynamics-based measurement of the velocity of high-temperature smoke

Wang Haoyu

Archives of Thermodynamics

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2023

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Vol. 44, no 1

23--36

EN

In view of the high cost and difficulty of ensuring the accuracy in the measurement of fire smoke velocity, the measurement system developed using platinum resistance temperature detectors and an 8-bit microcontroller, is used to realize the fast measurement of high-temperature fire smoke velocity. The system is based on the thermodynamic method and adopts the Kalman filter algorithm to process the measurement data, so as to eliminate noise and interference, and reduce measurement error. The experimental results show that the Kalman filter algorithm can effectively improve the measurement accuracy of fire smoke velocity. It is also shown that the system has high measurement accuracy, short reaction time, low cost, and is characterized by high performance in the measurement of high-temperature smoke velocity in experiments and practice.

15

Research on cost prediction for construction project based on Boruta-SO-BP model

Cui Hao, Xia Junjie

Archives of Civil Engineering

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2023

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Vol. 69, nr 4

413--429

EN

Cost prediction for construction projects provides important information for project feasibility studies and design scheme selection. To improve the accuracy of early-stage cost estimation for construction projects, an improved neural network prediction model was proposed based on BP (back propagation) neural network and Snake Optimizer algorithm (SO). SO algorithm is adopted to optimize the initial weights and thresholds of the BP neural network. Cost data for 50 construction projects undertaken by Shandong Tianqi Real Estate Group in China was collected, and the data samples were clustered into three categories using cluster analysis. 18 engineering feature indicators were determined through a literature review and 10 feature indicators were selected using Boruta algorithm for the input set. Compared to BP neural network and PSO-BP neural network, the results show that the improved SO-BP model has higher prediction accuracy, stability, better generalization ability and applicability. Therefore, based on reasonable feature indicators, the method proposed in this paper has certain guiding significance for predicting engineering costs.

16

Using Inconsistency Reduction Algorithms in Comparison Matrices to Improve the Performance of Generating Random Comparison Matrices with a Given Inconsistency Coefficient Range

Kuraś Paweł, Gerka Alicja

Advances in Science and Technology. Research Journal

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2023

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Vol. 17, no 1

222-229

EN

The aim of this paper is to present a new method for generating random pairwise comparison matrices with a given inconsistency ratio (CR) interval using inconsistency reduction algorithms. Pairwise comparison (PC) is a popular technique for multi-criteria decision-making, its purpose is to assign weights to the compared entities, thus ranking them from best to worst. The presented method combines the traditional random generation of comparison matrices supported by inconsistency reduction algorithms: the “Xu and Wei” algorithm and the “Szybowski” algorithm. This paper presents research that shows an increase in performance when generating such matrices relative to the standard random comparison matrix generation procedure using the “Szybowski” algorithm. The other algorithms also improve the process, but to a lesser extent, making the “Szybowski” supporting algorithm the preferred solution for the new process. As a result of the research, a free online tool “PC MATRICES GENERATOR” has also been made available to efficiently generate a large number of comparison matrices with a given CR factor range, any matrix size, and any number of matrices, enabling much more efficient and less time-consuming research in many fields that use comparison matrices, as the analytic hierarchy/network process (AHP/ANP), ELECTREE, PAPRIKA, PROMETHE, VIKOR or the Best-Worst method (BWM).

17

A New Effective Algorithm for Mechanical Assembly Sequence Planning

Sąsiadek Michał, Niedziela Maciej, Woźniak Waldemar, Jachowicz Tomasz, Mikušová Nikoleta

Advances in Science and Technology. Research Journal

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2023

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Vol. 17, no 5

56--67

EN

This paper presents a new approach for searching the most favourable mechanical assembly sequence. The proposed method is described and its basic modules are presented. The concept is based on the assumption that the method should help the engineer in specifying the best assembly sequence with the short possible time calculation, taking into account the principles of design for assembly at an early stage of development of the product design. The algorithm for generating an accurate assembly sequence was described in detail and its application on real-life example was presented.

18

Wprowadzenie do projektowania algorytmów zarządzających siecią dystrybucji energii z obciążeniami ładowania pojazdów

Chudy Aleksander, Mazurek Paweł

Przegląd Elektrotechniczny

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2022

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R. 98, nr 1

71--74

PL

Zwiększone zapotrzebowanie na energię elektryczną spowodowane przewidywaną popularyzacją pojazdów elektrycznych może zagrozić bezpiecznej i ekonomicznej pracy sieci elektroenergetycznej. Z tego względu niezbędne są odpowiednie strategie ładowania pojazdów. Skoordynowane systemy ładowania pojazdów mogą być realizowane jako systemy scentralizowane, zdecentralizowane i hierarchiczne. W artykule skupiono się na celach i ograniczeniach dotyczących projektowania algorytmów sterowania ładowaniem.

EN

The increased demand for electricity due to the anticipated popularisation of electric vehicles (EVs) may threaten the safe and economic operation of the electrical grid. Therefore, appropriate EV charging strategies will be necessary. Coordinated EV charging systems might be implemented as centralized, decentralized and hierarchical systems. This paper focuses on the objectives and constraints for the design of charging control algorithms.

19

Method for determining homogeneity of fine dispersed mixtures based on the software analysis of photo cross-cut of the sample

Polievoda Yurii, Kupchuk Ihor, Hontaruk Yaroslav, Furman Iryna, Mytko Mykola

Przegląd Elektrotechniczny

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2022

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R. 98, nr 11

109--113

EN

The paper analyzes the main methods for determining the homogeneity of fine dispersed mixtures, as a result of which it has been found that all of them are characterized by significant complexity and low implementation rate. There has been developed a highly effective photoanalytical method for assessing homogeneity, which is based on software analysis of digital photo cross-cut of the mixture and determining the degree of its homogeneity based on comparison of the obtained color identifiers with the values of the reference database.

PL

W pracy przeanalizowano główne metody określania jednorodności drobno zdyspergowanych mieszanin, w wyniku czego stwierdzono, że wszystkie charakteryzują się dużą złożonością i niskim stopniem wdrożenia. Opracowano wysoce efektywną fotoanalityczną metodę oceny jednorodności, która opiera się na programowej analizie cyfrowego fotoprzekroju mieszaniny i określeniu stopnia jej jednorodności na podstawie porównania otrzymanych identyfikatorów barw z wartościami bazy referencyjnej.

20

Revitalization of Mining Dumps. Assessment of Possibilities

Biały Witold

Production Engineering Archives

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2022

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Vol. 28, Iss. 2

201--209

EN

The revitalization of mining dumps in the Silesian agglomeration is a very difficult and complex problem. It has a substantial impact on the concepts of sustainable urban development. Other than the key areas including people, the environment and the economy, revitalization also refers to spatial management, and thus to a significant improvement in the functioning conditions of the local cities’ communities. The article describes an algorithm assessing the possibilities of revitalizing a mining dump by one of the Polska Grupa Górnicza’s mines. With legal status and location taken into account, several potential scenarios had been proposed, out of which one was chosen based on the adopted criteria. The chosen scenario had been subjected to further assessment using analyses such as SWOT/TOWS, FMEA, and QFD. The analyses had been carried out in order to acquire more effective and meaningful assessments, having taken social and economic aspects into consideration. In effect of the carried out analysis a recreational scenario was proposed. The adopted solution shows that the mine can continue its work in accordance with the principle of sustainable development as well as apply the concept of corporate social responsibility.