Application Of Automatic System Research Articles

Artificial Neural Network-Based Data-Driven Parameter Estimation Approach: Applications in PMDC Motors

The optimal performance of direct current (DC) motors is intrinsically linked to their mathematical models’ precision and their controllers’ effectiveness. However, the limited availability of motor characteristic information poses significant challenges to achieving accurate modeling and robust control. This study introduces an approach employing artificial neural networks (ANNs) to estimate critical DC motor parameters by defining practical constraints that simplify the estimation process. A mathematical model was introduced for optimal parameter estimation, and two advanced learning algorithms were proposed to efficiently train the ANN. The performance of the algorithms was thoroughly analyzed using metrics such as the mean squared error, epoch count, and execution time to ensure the reliability of dynamic priority arbitration and data integrity. Dynamic priority arbitration involves automatically assigning tasks in real-time depending on their relevance for smooth operations, whereas data integrity ensures that information remains accurate, consistent, and reliable throughout the entire process. The ANN-based estimator successfully predicts electromechanical and electrical characteristics, such as back-EMF, moment of inertia, viscous friction coefficient, armature inductance, and armature resistance. Compared to conventional methods, which are often resource-intensive and time-consuming, the proposed solution offers superior accuracy, significantly reduced estimation time, and lower computational costs. The simulation results validated the effectiveness of the proposed ANN under diverse real-world operating conditions, making it a powerful tool for enhancing DC motor performance with practical applications in industrial automation and control systems.

THE ROLE OF PROPERTY MANAGEMENT IN PROMOTING ENERGY-EFFICIENT SOLUTIONS FOR RENTALS

Real estate management plays a key role in promoting energy efficient solutions when renting out properties. The purpose of the study is to analyze the impact of management companies on the introduction of energy-efficient technologies to increase the competitiveness of facilities and reduce operating costs. The methodology is based on the analysis of data on the application of modern energy-efficient solutions, including lighting, heating and automation systems in buildings in the Czech Republic. The results showed that the use of such technologies helps to reduce utility costs by 20-40% and increases the attractiveness of facilities for tenants. In conclusion, property management aimed at energy efficiency ensures the achievement of sustainable development and economic benefits for owners and tenants. These measures increase the market value of the properties and extend the lease terms, which strengthens the position in the real estate rental market.

A Comprehensive Analysis of PID Control Applications in Automation Systems: Current Trends and Future Directions

Proportional-integral-derivative (PID) control is a reliable control system that is often utilized in engineering practice because to its simplicity, stability, and ease of tuning. The proportional, integral, and derivative terms that make up PID control are crucial for managing a variety of systems across many sectors. These controllers have shown to be particularly successful in scenarios when complete system information is lacking. This essay explores the foundations of PID control and highlights its adaptability to a variety of scenarios, including manufacturing, chemical reactions, and power systems. PID control is continuously changing to satisfy the dynamic demands of modern industry in addition to conventional applications. The investigation covers the most recent research results and sheds light on the difficulties that the PID control area faces. New complications are coming up as the sector develops, necessitating constant improvement of PID control techniques. Ultimately, the story offers suggestions for PID control's future, acknowledging that improvements are required to keep up with the demands of developing technology. The study highlights PID control's ongoing importance as a foundational engineering technique and provides evidence of its flexibility and ongoing significance in influencing the direction of technological advancements across a range of industries.

Implementation of INLISLITE 3.1 in Processing Printed Book Materials at SMAN 1 Kalanganyar Library

This research aims to provide an overview of the implementation of the INLISLite in processing printed book materials at the library of SMAN 1 Kalanganyar. The INLISLite 3.1 is a library automation system application designed and officially developed by the National Library of the Republic of Indonesia, used to assist in the process of managing library materials. The method used in this research is a descriptive qualitative research method. Utilizing data collection techniques through observations and interviews with two informants consisting of the head librarian and library staff of SMAN 1 Kalanganyar. The implementation of the INLISLite serves as a solution for the SMAN 1 Kalanganyar library in transitioning from conventional to automated processing of printed book materials. Equipped with comprehensive program features, it aids the staff in their library activities. However, the use of the INLISLite 3.1 at SMAN 1 Kalanganyar has not been fully optimized and is still hindered by human resources, resulting in suboptimal data input due to a lack of cataloging expertise.

Real-time vehicle detection system on the highway

Locating and classifying different types of vehicles is a vital element in numerous applications of automation and intelligent systems ranging from traffic surveillance to vehicle identification, with deep learning models now dominating the field of vehicle detection. However, vehicle detection in Bangladesh remains a relatively unexplored research lacuna. One of the main goals of vehicle detection is its real-time application, with “You Only Look Once” (YOLO) models proving to be the most effective. This paper compared real-time vehicle highway detection systems using YOLOv4, Faster R-CNN and SSD algorithms to determine the best performance. A vehicle detection and tracking system was also developed that improved highway safety. Vehicle trials compared the real-time performances of the YOLO, Faster R-CNN and SSD algorithms in detecting and tracking highway vehicles by measuring precision, recall, F1-score and operating speed. Models for each algorithm were constructed and each model was trained and tested, with performance measured using a confusion matrix. This statistical tool assessed the efficiency of the system using a prepared test dataset and evaluated the results using appropriate indicators such as real-time road lines, traffic signs and vehicle detection false positive rates. Results showed that the YOLOv4 algorithm outperformed Faster R-CNN and SSD in real-time vehicle detection and tracking on highways. YOLOv4 also processed the results more quickly and proved superior in detecting and tracking objects in real time. The Faster R-CNN algorithm gave high object detection, tracking accuracy and recall while reducing the number of locations needing detection, with the SSD algorithm providing high precision, recall and good image detection results.

EOG Based Eye Blink Detection using VB GUI for Eye Writing Applications

Usage of bio-signals from Electro-Oculo-Gram (EOG) in Human Computer Interaction (HCI) systems is one of the burgeoning study areas as of now. In order to provide support for physically challenged persons (or keypad Contactless HCI) in operating basic computer functions without making any physical touch with the computer keypad or mouse, we propose a framework utilization concept that changes movement of cursor on the computer screen using virtual keypad based on Visual Basic Graphical User Interface (VB GUI) with the eye movement detection through webcam of the system for different computer functions. In this work, VB GUI platform is used for a web browsing application and corresponding platform operation steps have been included. With the VB GUI, the basic cursor movements in the directions of left, right, up, and down to access the web links on the web page which is treated as eye writing in the concept of human computer interaction. Similarly, we can access different computer Apps such as MS-Doc, XL sheets, Audio and video files etc. Further, this paper focus is on prototype development of different home automation system applications.

Feasibility analysis of the application of building automation and control system and their interaction with occupant behavior

Occupant behavior is among the main causes for the mismatch between simulated and in-use energy performance of buildings. One of the strategies considered capable of reducing user’s behavior induced energy consumption, while increasing indoor environmental quality is the application of Building Automation and Control Systems (BACS). In this study, three building user’s profiles have been considered depending on their energy consumption. The energy savings due to BACS class increase have been calculated, and a cost–benefit analysis (CBA) has been performed to evaluate the feasibility of different scenarios. Additional co-benefits perceived by the individuals have been accounted for in the form of willingness-to-pay (WTP). The methodology is applied to two case studies: a nearly zero-energy building (NZEB) rural single-family house and a recently renovated dwelling in an apartment block. The results show that the main reductions are achieved by the users’ behavior alone, and the adoption of BACS is economically feasible only when an incentive program is in place, and the WTP is repeated as a recurrent co-benefit over the years. In particular, relying only on energy reduction due to higher BACS class introduction is not economically desirable. The greatest savings are achieved by the behavioral change of the user when coupled with BACS, supporting their potential role in improving user’s energy literacy. Finally, incentive schemes are necessary to reduce the investment costs of such projects, being these the most influential variables in the feasibility of BACS applications.

An enhanced temporal algorithm- coupled optimized adaptive sparse principal component analysis methodology for fault diagnosis of chemical processes

Principal component analysis (PCA) is a classic fault diagnosis method widely used in chemical process data modeling. However, the limitation of PCA to handle dynamic and time-variant data has been progressively exposed with the ever-increasing development of artificial intelligence technologies and applications of automation systems in the chemical industry. In this paper, an enhanced temporal algorithm-coupled optimized adaptive sparse PCA (ETA-OASPCA) methodology is proposed with the aim to improve the conventional PCA method by introducing temporal state computation and dynamic adaptive sparsity. The ETA is constructed to extract the state transitions of the time-variant process data by introducing the “Transition” and “Hold”, acquire the region of interest by employing a Maximum Fuzzy c-means (MFCM) method, and then use the region time prediction automaton to label the possible abnormal states. The introduction of dynamic adaptive sparsity in PCA, achieved by presenting an iterative interior point optimization method to update the dynamic sparse penalty term, can impose sparsity constraints on dynamic data calculations, thus enhancing the interpretability of the PCA model. The effectiveness of the proposed method was validated through its application in the Eastman Tennessee process, showing that an average fault detection rate, false alarm rate, and latency of 99.4%, 0.37%, and 4.11 mins can be achieved, respectively.

Analysis of application of network time synchronization technology in plant and station automation system

As the inevitable result of the development of social economy and science and technology, the construction of plant and station automation system not only solves the problems existing in the traditional plant and station construction management, but also improves the fundamental requirements of the system operation. According to the accumulated experience in the construction and application of plant and station automation system in recent years, the scholars of various countries should not only ensure the accuracy and high precision of time measurement, but also scientifically control the complexity of application algorithm to reduce the amount of electric energy consumption. Therefore, on the basis of understanding the research status of plant and station automation system and network time synchronization technology, this paper mainly explores how to apply network time synchronization technology in plant and station automation system according to the structure of plant and station automation system and the key points of network time synchronization technology.

Review of Issues on Data Security Cybercrimes and Image: The Nigerian Case

The paper seeks to address the lapses in policy formulation and implementations on the issue of database in Nigeria and by extension the rest of developing countries that are confronting with various activities of cyber criminals. Most of these government pay leap service to boosting the image of their countries whereas it is in their sole responsibility to monitor communications and detect abuse on networks due to influence of globalization. Up till now, no dependable data base of citizenry in Nigeria and that makes it difficult to check people activities online which resulting to all security issues that presently deforming the country images. Images are measured by performance of invisible indicators. The study seeks on how Nigeria can improve her image by identifying the impact of information security and effective governance with the immediate application of automation system in the country since country’s reputation plays a major role in attracting investment and boosting the economy, as reputation negatively affected by the increasing number of cybercrime incidents.Data security and cybercrime in Nigeria are significant and need to be addressed as a matter of urgency by taking proactive steps to improve data security, enhance cybercrime enforcement, and protect the country's image, Nigeria can build a more secure and stable digital environment for its citizens. DOI : https://doi.org/10.54663/2182-9306.2023.sn12.25-41

Rancang Bangun Sistem Pemberian Pakan Ikan Lele Otomatis Berbasis Mikrokontroler

Technology allows the process of managing catfish remotely, namely catfish managers do not need to manage feeding. Inaddition, the automated system makes it possible to preserve the quality of catfish as well as savings in feed costs. Today's automatedtools mostly use a microcontroller as a controller. Microcontrollers can be programmed to execute commands as needed and at the sametime become a form of automation system application in catfish management. In this study, the author designed a microcontroller-basedautomatic catfish feeding system. The microcontroller used is the ATMega 28 microcontroller which is connected to the RTC DS3231module. This microcontroller is also equipped with a servo motor that works to move the fish feed valve automatically. The servo motorused is the MG996R servo which has a working voltage of 6V which is sourced from the power supply which is lowered in voltage usingstep down. The RTC DS3231 module is connected with the arduino uno R3 module, which is the control center of the automatic feeddevice. The microcontroller turns on following the fish feeding time, which is 8 am and 3 pm. The servo motor will work to open the valvetwice in one day automatically with an angle or percentage of the feed valve opening by 35% - 45% for approximately 5 - 10 seconds andthe feed that comes out is about 40-70 grams per 10 seconds.

Automation of Two Ubuntu Servers with Ansible and Telegram as Notifications

The purpose of this study was to determine the application of the server configuration automation system using Ansible tools on Ubuntu Server. This study describes a descriptive qualitative research that examines a problem based on what is observed through certain media. The stages of research carried out in designing Automation of Two Ubuntu Servers with Ansible and Telegram as Notifications. The results of this study display two execution results, namely the status of Success and Ended. Ended state is caused by unreacable or unconnected host. The suggestion for the further development of this research is that the application of the automation system can also be carried out on the Windows Server operating system, not only on the Ubuntu Server.

Medium-Voltage Seven-Level Multiplexed Converter for AC Applications

After several decades of technological evolution, power electronics applications have become extremely important for electric/hybrid propulsion systems, smart grids, renewable energy systems, energy saving, and bulk energy storage, besides the typical applications in industrial automation and high-efficiency energy systems. In all these applications, a power conversion system with high efficiency and power density is required without sacrificing the system's power quality. The paper describes the specific characteristics and the scalar modulation strategy of a new multi-level multiplexed inverter topology for medium-voltage AC applications. The proposed power converter configuration is intended for high-power applications aiming to reduce the active device's voltage rating and losses exhibiting a resulting low switching frequency of the power switches. The proposed modulation strategy aims to reduce the computational burden and simplify the implementation process, which are at the basis of any possible industrial adoption. Simulation results and full Hardware-In-the-Loop verification support the analysis. The Hardware-In-the-Loop assessment has enabled the development of a suitable modulation strategy, and the testing of the power converter is a safe environment.

ODP179 Development of Derivatization-free ID-LC/MS/MS Method for Simultaneous Measurement of Human Serum Monosaccharides

Abstract According to the CDC's National Diabetes Statistics Report for 2020, it is estimated that 34.2 million, 10.5% of the U. S. population, have diabetes. High fructose intake has also been associated with increased de novo lipogenesis in the liver leading to non-alcoholic fatty liver disease (NAFLD). Emerging evidence suggests that measuring fructose, galactose, and other saccharides in addition to glucose may be helpful for diagnosis of metabolic disorders and other diseases. Therefore, there is a need for an accurate and precise laboratory method for measuring serum monosaccharide panels. Traditional monosaccharide assays used in patient care often can only quantitate one monosaccharide at a time. We aim to develop a high-throughput analytical method for simultaneous measurement of serum monosaccharides that is suitable for large scale epidemiologic studies. Our assay is based on a derivatization-free ID-LC/MS/MS procedure. Certified primary reference materials of monosaccharides from NIST (Gaithersburg, MD) were used for assay calibration. The serum samples were spiked with 13 C labeled internal standards. The monosaccharides were isolated from serum matrix by acetonitrile protein precipitation and filtration in 96-well filter plate (0.2um, porous PTFE). Aliquot of the acetonitrile filtrate was applied on an AB SCIEX Triple Quad™ 6500 LC/MS/MS system for analysis. The monosaccharides including glucose, galactose, fructose, mannose, and potential interferences were resolved from each other on Unison UK Amino column (3×250mm) eluted with acetonitrile and water gradient. Selective reaction monitoring in negative electrospray ionization mode was used for quantitation of monosaccharides in the samples. The measurement ranges covered 10–402 mg/dL for glucose, which is sufficient to monitor the serum glucose levels in normal, hypo-, and hyperglycemia patient samples. Using 4 levels of NIST SRM 965b (values assigned using GC-MS based reference measurement procedure), the method demonstrated excellent measurement accuracy of over 98% for serum glucose. The imprecision of serum glucose measurement was within 3%. Imprecision and accuracy of lower abundant serum monosaccharides were lower than 6% and above 96%, respectively. The application of 96-well format filter plate and automated liquid handler system significantly improves the throughput of sample preparation. The current analytical method can be used to simultaneously measure the concentrations levels of a panel of serum monosaccharides with appropriate accuracy and precision. Free of derivatization, simple sample procedure and application of automation system significantly improves throughput of the assay which are suitable for routine serum monosaccharides assay in clinical laboratories and for large biomonitoring studies. Presentation: No date and time listed

Discussion on the Application of Safety Monitoring Automation System

Discussion on the Application of Safety Monitoring Automation System

Assessment of Cracking in Masonry Structures Based on the Breakage of Ordinary Silica-Core Silica-Clad Optical Fibers

This paper presents a study on the suitability and accuracy of detecting structural cracks in brick masonry by exploiting the breakage of ordinary silica optical fibers bonded to its surface with an epoxy adhesive. The deformations and cracking of the masonry specimen, and the behavior of pilot optical signals transmitted through the fibers upon loading of the test specimen were observed. For the first time, reliable detection of structural cracks with a given minimum value was achieved, despite the random nature of the ultimate strength of the optical fibers. This was achieved using arrays of several optical fibers placed on the structural element. The detection of such cracks allows the degree of structural danger of buildings affected by earthquake or other destructive phenomena to be determined. The implementation of this technique is simple and cost effective. For this reason, it may have a broad application in permanent damage-detection systems in buildings in seismic zones. It may also find application in automatic systems for the detection of structural damage to the load-bearing elements of land vehicles, aircraft, and ships.

АВТОМАТИЗАЦИЯ И ЦИФРОВИЗАЦИЯ ОБЪЕКТОВ ЭЛЕКТРОЭНЕРГЕТИКИ

The application of automation and digitalization systems for the efficient use of electricity is con-sidered. The theoretical, technical and practical advantages and disadvantages of using this approach in the electric power industry have been determined. Provides an analysis of energy policy on the use of various types of energy sources in different countries. The trends in the de-velopment of the electric power industry associated with the introduction of automation systems are outlined.

A Survey on Deep Learning Role in Distribution Automation System: A New Collaborative Learning-to-Learning (L2L) Concept

This paper focuses on a powerful and comprehensive overview of Deep Learning (DL) techniques on Distribution Automation System (DAS) applications to provide a complete viewpoint of modern power systems. DAS is a crucial approach to increasing the reliability, quality, and management of distribution networks. Due to the importance of development and sustainable security of DAS, the use of DL data-driven technology has grown significantly. DL techniques have blossomed rapidly, and have been widely applied in several fields of distribution systems. DL techniques are suitable for dynamic, decision-making, and uncertain environments such as DAS. This survey has provided a comprehensive review of the existing research into DL techniques on DAS applications, including fault detection and classification, load and energy forecasting, demand response, energy market forecasting, cyber security, network reconfiguration, and voltage control. Comparative results based on evaluation criteria are also addressed in this manuscript. According to the discussion and results of studies, the use and development of hybrid methods of DL with other methods to enhance and optimize the configuration of the techniques are highlighted. In all matters, hybrid structures accomplish better than single methods as hybrid approaches hold the benefit of several methods to construct a precise performance. Due to this, a new smart technique called Learning-to-learning (L2L) based DL is proposed that can enhance and improve the efficiency, reliability, and security of DAS. The proposed model follows several stages that link different DL algorithms to solve modern power system problems. To show the effectiveness and merit of the L2L based on the proposed framework, it has been tested on a modified reconfigurable IEEE 32 test system. This method has been implemented on several DAS applications that the results prove the decline of mean square errors by approximately 12% compared to conventional LSTM and GRU methods in terms of prediction fields.

Analysis of the Power Grid Automation System Architecture Based on Distributed Scheduling

As the core content of urban power dispatching operation in the new era, power grid automation can ensure the safety and stability of urban power consumption on the basis of reducing resource consumption. Using the distributed scheduling method in the system can not only improve the quality of power transmission, but also improve the speed of system operation. Therefore, on the basis of understanding the distributed task scheduling method, this paper analyzes the independent task dynamic optimization level scheduling algorithm based on MPSoC, and carries on the in-depth understanding of the practical application effect, so as to prove the positive role of distributed scheduling in the application of power grid automation system.

Application of Smart Technologies in Metropolis GZM to Reduce Harmful Emissions in District Heating Systems

Harmful emissions from heating installations have recently received public attention in Poland. Polish municipalities mainly take their heat from local district heating networks with large-scale coal-fired heat sources. Today, transition to nonemissive sources on this scale would be impractical. The easiest way to reduce carbon emissions is to limit heat consumption, but at the same time, to preserve thermal comfort, the application of smart technologies is necessary. Veolia operates on 71 district heating systems in Poland, including Warsaw, Lodz, and Poznan. Since heat consumption in Warsaw and Metropolis GZM is at a similar level, this is a case study of Hubgrade automation system application within the Warsaw district heating network. This paper also presents results of simulation of harmful emission reduction potential in Metropolis GZM. Simulation results show that there is a potential for saving approximately 275 kt of CO2 for the whole Metropolis GZM.