Development Of Management System Research Articles

A novel multi-objective optimization scheme of electric turbo compressor system in hydrogen fuel cell for reducing energy consumption and axial thrust

Electric turbo compressor (ETC) can recover the exhaust energy and reduce the motor power consumption, which is the future development of the air management system for fuel cell. However, the large imbalances of axial thrust and energy between the compressor and turbine leads to low reliability and efficiency of ETC. In this study, a multi-objective optimization scheme was proposed to explore the lowest ETC axial thrust and electric power consumption. First, the coupled model including compressor, turbine and axial thrust sub-models were established in MATLAB. To verify the model, computational fluid dynamics(CFD) model were established in ANSYS CFX and experimental tests were carried out. The electric power differences between the MATLAB model and experiment is within 4.36 % and the axial thrust deviations between the MATLAB and CFD model is within 5.46 %.Then, eight geometric parameters of compressor and turbine rotors are selected as independent optimization variables. NSGA-ΙΙ multi-objective optimization algorithm was adopted to search for low axial thrust and power consumption solutions. Finally, the optimization results show that the efficiency of the compressor and turbine is increased by 6.39 % and 2.75 % at design point, respectively. The electric power consumed by the motor is reduced by 7.80 % and the axial thrust of the ETC is reduced by 18.83 %.

GIS-technologies and algorithm for developing regional systems for handling medical waste on the example of three regions

Introduction. GIS is a modern computer technology designed for collecting, storing, analyzing and visualizing spatial data – mapping. GIS is also actively used in healthcare to solve many regional problems, including optimization and management of healthcare resources. Over last decade, many researchers have used mathematical software models for healthcare waste management. A review of the literature shows facility location, risk to the public, and economic feasibility to be among the issues that have been extensively covered in the literature. Designing a reverse logistics network using mathematical software tools is an efficient and effective way to manage healthcare waste. The objective of the study. To determine the optimal approach to creating a functional model of a system for managing medical waste of class B and C using GIS-technologies for each of the three regions, based on the characteristics of each. Materials and methods. Medical institutions in three regions (St. Petersburg, Leningrad Region and Krasnoyarsk Territory) as sources of medical waste generation were considered taking into account their capacity and specialization. The composition and volumes of waste by class were determined using a calculation method based on indicative waste generation standards. The identification of local technologies for the neutralization of medical waste existing in medical institutions was carried out. The obtained data was processed statistically and displayed on electronic maps for subsequent use in GIS technologies, as well as for the development and justification of a waste management system for medical institutions, taking into account the prospects for the development of healthcare. Results. Based on the analysis of data on medical waste of classes B and C in individual medical institutions, as well as an analysis of the power of existing technologies for neutralizing this waste using GIS technologies, proposals were developed to improve the medical waste management system in three regions. The proposals are aimed at improving the sanitary and epidemiological situation in the regions over a five-year period and take into account the features of the existing transport infrastructure and the requirements of sanitary legislation. Limitations. The model of a medical waste management system using GIS technologies was used only for managing waste of classes B and C. Conclusion. To ensure the safe and environmentally sustainable functioning of the waste management system of classes B and C in the regions, it is necessary to apply an integrated approach based on GIS technologies. This approach should take into account the regional characteristics of the management of the medical waste disposal system and its economic feasibility and take into account the regional characteristics of transport logistics and the prospects for the development of healthcare.

Experimental investigation and modelling of hydrodynamics and heat transfer in flow boiling in normal and microgravity conditions

The development of long-term space thermal management systems has informed research into the influence of gravity on boiling. This work explored the influence of gravity on the hydrodynamics and heat transfer of boiling flow. Experiments were carried out using two test loops each consisting of a 6 mmID transparent cylindrical test section. Upward (+1░g) and downward (−1░g) flow boiling experiments were carried out in the laboratory while microgravity (μg) experiments were carried out during a parabolic flight campaign. The results of flow visualisation showed significant influence of gravity on the flow patterns and the influence of gravity was generally limited to mass flux, G≤400kg/m2s and/or vapor quality, x≤0.35. In all three gravity conditions, the measured heat transfer coefficient was influenced by heat flux, mass flux and/or vapor quality. For liquid Reynolds number, Relo≤2000(G≤150kg/m2s) and boiling number Bo<0.002 the measured heat transfer coefficient was highest in −1g flow and lowest in μg flow but becomes comparable at Bo>0.002. A correlation for predicting microgravity heat transfer coefficient was proposed in this work and the proposed correlation predicted 100 % of the μg data in the current work within ±20%, predicted nearly 100 % of the μg data of Ohta et al. (2013) within ±30% and around 85 % of the μg data of Narcy (2014) within -20 % to +50 %. A correlation for predicting the gravity dependent regime as it relates to heat transfer coefficient in +1g and μg flows was also proposed in this work. The proposed criterium correctly predicted over 85 % of the gravity-dependent heat transfer coefficient in the current work and the works of Lebon et al. (2019), Narcy (2014), Ohta et al. (2013).

Применение теории множеств для разработки ключевых параметров эффективности трудового сектора пенитенциарной системы

The article considers the development of information management systems, decision support and modelling for production processes in penitentiary institutions. The work outlines the problem of insufficient study of production and labour sector data both from a scientific viewpoint and from the standpoint of developing new software and practical application. It is found that the first steps to solve the above-mentioned problems will be proper data structuring and identifying key performance parameters. Presenting data as sets and studying the interaction between them can be a good solution to the problems posed. Thus, the work formulates the task of determining the key performance parameters of the labour sector of the penitentiary system, and considers the principles of set theory as tools for solving this problem. In addition, the authors use previously created developments such as an indexing system and a software package for collecting statistical data to settle this issue. As a result of the study, rules are determined, as well as relationships that can be applied to detect the key performance parameters and develop an information system, as well as to create databases with improved structuring that are more practically oriented.

Investigation on lightweight identification method for pavement cracks

Mastering a lightweight method for the identification of pavement surface cracks plays a vital role in enhancing the efficiency and accuracy of pavement crack detection. However, the existing crack detection methods typically concentrate on improving model performance while neglecting the study of lightweight identification methods, causing inefficient crack detection. Therefore, this study aims to investigate a lightweight identification method for pavement cracks. High-definition vehicle-mounted cameras were employed to collect pavement crack images across multiple districts in Shenzhen, China, resulting in a dataset containing 20256 images. In addition, a pavement crack detection method based on the You Only Look Once version 8 (YOLO v8) model was proposed. On this basis, a knowledge distillation model enhanced by multiple teacher-assistants (KDMTA) was established to explore the impact of different teacher assistants and distillation paths on model performance. The results indicate that in the proposed KDMTA model, each level of teacher-assistant (TA) model can absorb diverse aspects of knowledge from the teacher models, thus broadening the range of insights. Subsequently, the information is imparted to lower-level TA models and the student model, expanding the perspective from which the student model acquires knowledge. Therefore, this improves the model's generalization performance and its effectiveness in target detection. The type and number of teacher assistant models, as well as the distillation path, influence the model performance. The random learning strategy enriches the combination and transfer of knowledge among teacher models, TA models, and student models, achieving lightweight identification for pavement crack. According to the results, the crack identification accuracy reaches 95.79 %, the mAP reaches 81.07 %, and the image processing speed has been improved by 79.6 %. This study enhances the efficiency and accuracy of pavement crack detection, providing methodological support for the rapid and accurate identification of pavement cracks. This study offers a novel method for the rapid and accurate identification of pavement cracks, which can assist management authorities to timely identify and repair pavement defects, reducing maintenance costs, and extending the lifespan of roads. Moreover, it can also facilitate the development of road safety management and intelligent transportation systems.

Design and Development of Attendance Management and Analysis System using LLM

Design and Development of Attendance Management and Analysis System using LLM

Artificial neural network-based models for short term forecasting of solar PV power output and battery state of charge of solar electric vehicle charging station

The main objective of this study is to develop ANN-based predictive models for short-term forecasting of solar PV power output and battery state of charge. The 3Ds energy model that integrates Decarbonization, Digitalization, and Decentralization of the energy system to facilitate the shift towards sustainable energy sources is used for this electric vehicle project. The experimental set up includes solar PV panels, a solar inverter, a battery inverter, and a battery bank. Additionally, smart meters were installed to collect real-time performance data from the solar PV-powered electric vehicle (EV) charging station. The weather and real-time system performance data were used to develop short term forecasting models based on Artificial Neural Networks (ANN) and the Levenberg-Marquardt method, to predict the performance of the system (power output and state of the charge) ahead. The R values for the prediction models of solar photovoltaic (PV) specific power and battery state of charge fall within the range of 0.9957–0.9969 and 0.9990 to 0.9996, respectively. Furthermore, the mean squared errors (MSEs) for the artificial neural network (ANN) models pertaining to solar photovoltaic (PV) power output and battery state of charge exhibit a variety of values. Specifically, the MSEs for solar PV power output range from 1.242 x 10^-4 to 1.579 x 10^-4, while the MSEs for battery status of charge range from 0.1889 to 0.3402. Artificial neural network (ANN) models possess considerable promise for practical implementations as they simplify intricate connections among inputs, parameters, and outputs in real-world scenarios. The level of accuracy and short-term predictive models of the solar PV powered EV charging station are very important for achieving a balance between the supply of solar photovoltaic (PV) system and the demand for electric vehicles (EVs). Predictive models will help build complex control mechanisms for controlling and optimizing solar PV-powered charging stations, supervising their operation and maintenance, and simplifying renewable energy pre-purchase. Future works will include the development of an energy management system to improve the efficiency of the solar stations charging the EVs, the establishment of blockchain networks for both the solar PV system and battery bank, and the integration of cybersecurity protocols for the charging station.

QR-based Canteen Management System

In recent years, the digitization of administrative and operational processes has transformed various sectors in the world, including food service management. This research presents the development and implementation of a QR-based canteen management system, designed to enhance the efficiency of canteen operations by leveraging contemporary technological advancements. The system employs a desktop application built with C# and the .NET framework, enabling users to order and pay for food items using a QR code-based login and cashless payment system. This solution addresses the inefficiencies of traditional pen-and-paper-based canteen management by automating order processing, payment, and sales record maintenance. The primary objective is to streamline canteen operations, reduce service time, and improve customer satisfaction through a user-friendly and reliable system.

PENGEMBANGAN APLIKASI LAYANAN BAGIAN UMUM (ALBUM 2.0) DALAM PENGELOLAAN BARANG MILIK NEGARA PADA DIREKTORAT JENDERAL HAK ASASI MANUSIA

This research aims to design the development of an information management system for State-Owned Goods (Barang Milik Negara) within government agencies as an effort to optimize internal supervision functions over the implementation of information systems and digitize the management process of State-Owned Goods. This research focuses on the Secretariat of the General Affairs Division of the Directorate General of Human Rights as the research object because the information system implemented by the General Affairs Division, namely the General Affairs Service Application (ALBUM), has problems based on the problem analysis and needs assessment conducted. This study uses Research and Development (R&amp;D) design with the ADDIE model. The development phase is limited to the Design stage, involving the creation of Data Flow Diagrams (DFD) and User Interface designs using CANVA and FIGMA as tools to assist in the design development process. Based on the analysis results, there is a need for information system development in the General Affairs Service Application (ALBUM) in the aspect of internal service. The internal services that can be developed include the Inventory Items feature by adding a display for additional requested items, and the second development is the addition of a loan feature for State-Owned Goods. The design development aligns with the problem analysis and the needs derived from the information obtained. It is expected that the development carried out will optimize the internal supervision function over the implementation of the General Affairs Service Application (ALBUM) information system and in every aspect of the State-Owned Goods management process

Development and Construction of a Prepaid Energy Management System Using 8051 Microcontroller

Development and Construction of a Prepaid Energy Management System Using 8051 Microcontroller

Design and development of hotel management system using spring boot application

This paper focuses on recognizing the rapid pace at which the hospitality industry is being run and the need for properly run operations in various hotels to enhance guest satisfaction. This project provides them with an enhanced solution, Hotel System that is developed based on the Spring Boot, React, and MySQL Integration for effectively operating and managing hotels and improving the service standards by catering to the guest’s needs promptly. The system benefits from the technologies defined in the modern web to develop a coherent and effective way of management in hotels. Manual booking and writing down records on paper are not efficient and prone to mistakes. The current system suggests a solution that is contemporary to the vices mentioned above and also improves the security and access to the documents. Some of the subsystems include reservation of the rooms, management of the guests, management and authentication The underlying objectives of the Hotel System are to transform the ways of hotel operations with the help of popular technologies, to provide guests with a higher level of satisfaction, and to improve the organizational and management effectiveness.

Стратегічні пріоритети формування економічної безпеки і диджиталізації управлінської звітності для розвитку малих форм господарювання на сільських територіях

The article is dedicated to examining the fundamental strategic priorities for developing managerial reporting in the context of economic security for small-scale enterprises in rural areas, considering the growth of agribusinesses in Ukraine and worldwide. It has been demonstrated that integrating digitalization into managerial accounting significantly improves the efficiency of the information support system for agricultural enterprises. Approaches have been proposed to establish optimal managerial reporting for small-scale enterprises in rural areas. It is noted that implementing digital technologies in reporting dramatically enhances the transparency and accuracy of financial operations, allowing for the timely identification of financial risks and the prevention of undesirable losses, thereby maintaining the economic security of agribusiness enterprises. Small enterprises in rural areas, which are limited in resources and opportunities for obtaining credit or external investments, can. However, they leverage digitalized reporting systems to improve their financial reliability when collaborating with potential investors and creditors. Moreover, the digitalization of managerial reporting facilitates the optimization of management processes, allowing for more rational planning of the enterprise’s available resources. To this end, we analyzed data from a sheep farming enterprise. In calculating economic indicators in managerial reporting, a developed format for digitalized accounting and reporting information is presented for small-scale enterprises involved in sheep farming. The decrease in the number of sheep and the productivity of products (milk and wool) by 4% from the planned volumes relates to the low quality of fodder, which directly affected the economic results of the agrarian business enterprise. At the same time, the actual revenues of the enterprise turned out to be 4.2% lower than planned due to the fall in the wool market and a slight decrease in revenues from the sale of dairy products. The conclusion is drawn that further implementation of digitalization in accounting processes is advisable to reduce bookkeeping costs. It is substantiated that, in the context of globalization and the digital transformation of markets, the digitalization of accounting procedures is an integral element of the development of management systems, ensuring their adaptability to the challenges of the modern economy. Keywords: agrarian business, strategic priorities, economic development, small businesses, international business, rural areas, enterprise, digitalization, management reporting, economic security.

Influence of citizen relationship management system on citizen participation in Taiwan: A participatory politics perspective

Although studies have investigated the development of citizen relationship management (CRM) systems in various cities, no understanding exists regarding how CRM systems operate and how they influence citizen participation. Moreover, limited studies have been conducted regarding the political factors that influence citizen participation through CRM systems. Drawing from data obtained through interviews with key stakeholders involved in the implementation of a CRM system in Taiwan, the present study comprehensively analyzed the primary political characteristics and effects of this system, outlined the political factors influencing system use, and formulated suggestions for mitigating the influence of politics on the system. The findings reveal that the development of the citizen relationship management system was constrained by potential political factors in public policy development. These factors included the dynamics of power relations between citizens and local governments, the politicization of policy processes, conflicts in policy decision-making models involving top-down and bottom-up approaches, the political intentions and motives of stakeholders, and the influence of potential policy actors. Considering the case of the Taiwanese citizen relationship management system, this study provides suggestions and guidance for policymakers aiming to minimize political influence on citizen participation, with a focus on tailoring these approaches to meet the specific public service needs of citizens.

Blended learning dalam pembelajaran matematika: A systematic literature network analysis

As technology continued to advance, the educational landscape evolved, leading to the development of learning management systems, online platforms, and multimedia resources. Blended learning has since become a cornerstone in educational strategies. The purpose of this study is to describe the research trend data on Blended learning . The Systematic Literature Network Analysis (SLNA) method was employed for the investigation. This study's data is made up of non-time-limited research articles on Blended learning. The articles were retrieved from the Scopus database. The data was evaluated using a bibliometric and network analysis technique with programs R and VOSviewer. The findings indicate that the number of studies and research citations fluctuate. Keyword cluster analysis indicates that the predominant focus of research lies in Blended learning. Simultaneously, the terms 'personnel training' and 'academic performance' exhibit interconnections with inquiries into Blended learning . Subsequent scholarly investigations ought to broaden and elaborate upon facets of Blended learning conceptualization, assessment methodologies, pedagogical instruction, and organizational backing, to furnish a more exhaustive and all-encompassing research outlook.

A Framework to Support the Standardized Management of Real-World Data.

Relying on our experience on the development of data registration and management systems for clinical and biological data coming from patients with hematological malignancies, as well as on the design of strategies for data collection and analysis to support multi-center, clinical association studies, we designed a framework for the standardized collection and transformation of clinically relevant real-world data into evidence, to meet the challenges of gathering biomedical data collected during daily clinical practice in order to promote basic and clinical research.

A Proposed Methodology For Bridging Policy And Practice To Apply Indonesian SOE Regulations In The Balanced Scorecard Model

This research aims to develop a practical methodology to bridge policy and operational practice at PT Jakarta Industrial Estate Pulogadung (JIEP) through the implementation of a modified Balanced Scorecard (BSC) framework that aligns with Indonesian State-Owned Enterprises (SOEs) regulations. The study addresses the challenge of aligning shareholder directives with daily operations, which often struggle to translate corporate KPIs into operational KPIs. The research finds that while SOEs' administrative culture ensures regulatory compliance, there remains a need for a more structured performance management approach. By integrating goal-setting, expectancy, and control theories into the modified BSC framework, the study offers an approach that aligns regulations, corporate targets, and operational goals. The methodology used is a descriptive case study involving qualitative and quantitative data collection through internal document analysis, workshop discussions, and in-depth interviews. The data were analyzed to develop and implement a strategy map and KPIs relevant to the organization's strategic objectives. The findings show that the proposed framework effectively bridges the gap between policy and practice, ensuring that SOE regulations are not only adhered to but strategically leveraged to enhance organizational performance. By adopting this framework, JIEP and other SOEs can align unit goals with corporate and governmental strategic objectives, creating a more effective and sustainable performance management system. This research makes a significant contribution to the development of performance management systems that can be implemented in other SOEs, offering substantial improvements over existing practices.

Development and Evaluation of a Data Quality Management System for the Korea Biobank Network.

As the reliance on clinical epidemiological information from human specimens grows, so does the need for effective clinical information management systems, particularly for biobanks. Our study focuses on enhancing the Korea Biobank Network's (KBN) system with data quality verification features. By comparing the quality of data collected before and after these enhancements, we observed a notable improvement in data accuracy, with the error rate decreasing from 0.1198% to 0.0492%. This advancement underscores the importance of robust data quality management in supporting high-quality clinical research and sets a precedent for the development of clinical information management systems.

Design and Development of IoT-Enabled Power Management System for Smart Home with Enhanced Security Feature

Design and Development of IoT-Enabled Power Management System for Smart Home with Enhanced Security Feature

Development of Geospatial Asset Management System for Higher Education

Abstract: The integration of Geographic Information System (GIS) for asset management was addressed in this study. Geographic Information System (GIS) as a decision support system was integrated within the process of asset management to strengthen the monitoring of tangible assets within the organization. The main objective of this study is to design and develop a Location-Based Asset Management Application System. A waterfall model was utilized to create the system. GeoJSON was used to represent geographical features or attributes of the data gathered. A standardized adapted evaluation form was used to determine the Functionality, Performance, Robustness, and Workmanship of the developed application and interpreted using descriptive analysis. The analysis shows that the developed system is excellent in terms of Functionality, Performance, Robustness, and Workmanship. Based on the study's findings, the developed spatial asset management system is an effective way of monitoring and delivering asset management information and resources to its various constituents. It is highly recommended that a designed system should be utilized and use the developed systems to proactively respond and adapt to the modern world in delivering and managing resources.

Electrochemical and aging model of li-ion batteries and estimation of total number of cycles during the lifecycle of the battery

Fast charging is a critical factor for the widespread adoption of electric vehicles (EVs), yet it poses challenges to the durability of lithium-ion batteries (LiBs). This study develops an aging model for a 10 Ah LiB cell using COMSOL Multiphysics, integrating a one-dimensional electrochemical model with a zero-dimensional thermal model. The model is constructed using cell design and electrochemical parameters derived from existing literature, tailored to the specific electrode and electrolyte materials utilized in this study. Key aging phenomena, such as the Solid Electrolyte Interface (SEI) growth and lithium plating, are embedded within the model to simulate the aging patterns and the interplay between these factors across various C-rates and temperatures. Simulation results suggest that while higher charging rates can reduce charging time, they also lead to increased degradation, with lithium plating becoming more severe at these elevated rates. The model also indicates that temperature management during cell operation can influence cycle life, with strategic temperature increases potentially mitigating some negative effects of fast charging. The study also explores the concept of total charging time as an alternative metric for battery wear, examining its relationship with the charging current profile and temperature. Results indicate that while fast charging offers convenience, it significantly impacts cycle life, underscoring the need for optimized charging strategies. The insights from this work enhance the understanding of Li-ion cell aging mechanisms, shedding light on the complex trade-offs between charging speed, temperature management, and lifespan. This contributes to the development of more sophisticated battery management systems and charging protocols that aim to extend the operational life of LiBs while accommodating the demands of fast charging.