Implementation Of System Research Articles

Inversion of induced polarization-affected electrical-source transient electromagnetic data observed in the groundwater survey from eastern Tibet, China

Recent advancements in the signal-to-noise ratio of transient electromagnetic (TEM) devices have highlighted the significance of induced polarization (IP) effects in areas containing polarizable materials such as clays or sulfide minerals. These effects are characterized by an abnormally rapid decay followed by late-time negative values in the voltage response, which often lead to unsatisfactory outcomes in conventional resistivity-only inversion workflows. Previous research demonstrates that incorporating the Cole-Cole complex resistivity model into an inversion workflow enhances the characterization of this phenomenon. In a recent hydrologic survey in eastern Tibet, China, significant TEM-IP-affected phenomena are observed during the implementation of an electrical-source TEM system to map the distribution of groundwater. In this instance, data from two representative survey lines are inverted using a modified quasi-2D regularized Newton inversion scheme that simultaneously extracted the direct current resistivity and three IP parameters: chargeability, time constant, and frequency dependence. The results reveal clear conductive polarization distributions against the resistive host, correlating well with groundwater-enriched weathered layers, as confirmed by borehole lithologic logs. Consequently, conductive polarization signatures are identified as potential key indicators of groundwater presence considering potential associations with clay and shale. This case study emphasizes the significance of accounting for potential IP effects in TEM surveys and highlights the advantages of multiparametric inversion for achieving more accurate results and enhancing the interpretation of subsurface properties.

Aligning Peer Tutoring System in Language Education: A Comparative Study of Face-to-face and Online Delivery Modes

This paper not only addresses the academic gap in current pedagogical practices but also connects with broader educational goals of equipping learners with skills that are directly applicable in real-life situations, including the workplace. This paper sets out to present an action research study and discusses the design and implementation of a peer tutoring system for Cantonese as a second language learners at a university in Hong Kong. Background and theoretical considerations of this peer tutoring system are discussed. The special focus of this action research will be on the implementation of this peer tutoring system before and during the COVID pandemic and its sustainable development. This paper also discusses the change from face-to-face peer tutoring activities to synchronous interactive online mode during the pandemic, the re-conceptualization of pedagogical design, and the development of the peer tutoring system in the post-pandemic period. This paper addresses research questions relating to how effective the peer tutoring system is in facilitating students’ Cantonese learning and what advantages the peer tutoring system can bring to face-to-face and online delivery modes. The discussions are based on the analysis of feedback from tutors and tutees. Additionally, the possibility of applying blended and online peer tutoring in language education in the long run will also be discussed.

PROPOSAL FOR COPYRIGHT COMPENSATION FOR ARTIFICIAL INTELLIGENCE (AI) DATA TRAINING IN MALAYSIA

As Malaysia struggles with challenges presented by the emergence of Artificial Intelligence (AI) in the digital age, there is an increasing need to re-evaluate and potentially revise the country's copyright framework. The Copyright Act 1987 may require adjustments to accommodate the evolving nature of creative works and their production, particularly in the context of AI-generated content, or known as Generative AI. One area of consideration is the implementation of a copyright compensation system which has been successfully adopted in the European Union (EU) and the United States (US) to compensate creators for the use of their works. Hence, this paper explores the feasibility and potential structure of a copyright compensation framework in Malaysia, specifically focusing on compensating rights holders for AI training data used by way of a statutory license and levy system. By examining existing compensation systems in selected jurisdictions including the EU and the US, this paper aims to provide insights into how such a framework could be effectively implemented into the Copyright Act 1987. The paper also argues that a customised copyright compensation framework could offer a practical solution to the challenges posed by AI, ensuring fair compensation for right holders, promoting innovation, and upholding copyright principles in an increasingly interconnected world. This paper will analyse the current provisions of the Copyright Act 1987, and identify gaps and areas that require reform to effectively address the implications of AI-generated content. This paper finds that the Copyright Act 1987 lacks explicit provisions for compensating rights holders for the use of their works in AI training data, leading to potential gaps in legal protection and fair compensation. As such, the paper recommends specific amendments to the Copyright Act 1987 to incorporate these mechanisms to guide the policymakers in providing a copyright compensation framework to rights holders in Malaysia.

Implementation of a Rule-Based Decision Support System in Determining the Level of Customer Satisfaction with Services

Sarmi Car Wash is a car and motorbike washing service located at Jalan Sultan Hasanuddin No. 52, offering pick-up and drop-off services within a specified range. To enhance employee performance and customer service, the business seeks to implement a decision support system (DSS) to monitor employee performance and assess customer satisfaction effectively. This research aims to design a web-based DSS application that utilizes rule-based assessments of employee performance, integrating data such as employee names and tenure as references for developing the system. The study employed data collection methods including observation, interviews, documentation, and literature review. The system was tested using the black-box method, confirming that it functions as intended. Additionally, based on a user assessment questionnaire, the application achieved an average score of 80.4%, indicating its suitability and effectiveness for implementation. The developed system provides an efficient solution for improving service quality and employee performance monitoring at Sarmi Car Wash.

Nature-Based Solutions for Flood Mitigation in Metropolitan Areas

Flooding is a globally common problem in metropolitan areas including Jakarta, Indonesia. The increased intensity and frequency of rainfall caused by climate change and rapid urbanization have raised the risk of flooding in urban areas. One solution is to implement polders to mitigate flooding in coastal metropolitan areas. Regrettably, the current polder system is inadequate for managing flooding due to rapid land-use changes and regional expansion. This study analyzes flood control in the Jakarta region using the East Sunter Polder System, which experienced flooding in both 1990 and 2020 despite the implementation of the polder system. The polder system, consisting of four catchment areas—Petukangan, KBN 1/Sukapura, KBN 2, and Kebantenan—faces drainage challenges exacerbated by rainfall. To mitigate flood risks, Nature-Based Solutions (NBSs) have been implemented, including retention ponds and long storage systems. Hydrological and hydraulic analyses were conducted using HEC-HMS and HEC-RAS, and ArcGIS was employed for floodplain integration. This study underscores the significance of incorporating NBSs in urban flood management, demonstrating how they enhance resilience and mitigate flood risks. By integrating NBSs into the urban planning framework, the findings suggest that flood risk management can be significantly improved, leading to better preparation and long-term sustainability for managing natural hazards.

A Hybrid Parameters Estimation Approach for Power Consumption Modeling of Ground Mobile Robots With Unknown Payload

ABSTRACTTypically, batteries are the main power source for mobile robots, and the practical constraints in carrying them pose challenges in achieving efficiency, autonomy, and safety objectives in robotic missions. Moreover, dealing with battery degradation requires a precise understanding of energy consumers' behavior in the system. Therefore, establishing an energy consumption model has an important role in addressing these challenges. This study focuses on the modeling and estimation of power consumption in indoor ground mobile robots with unknown payloads. We investigate key components and parameters that influence the actuation energy consumption of ground mobile robots equipped with DC motors, particularly in the context of pure rolling without slipping. To estimate the actuation power consumption of ground mobile robots, we present a hybrid parameters estimation approach. This method includes an offline step for estimating the mass‐decoupled coefficients of a power model, followed by two online steps for estimating the robot's unknown payload and its actuation power consumption. Simulation and experimental results with a differential drive robot (Turtlebot3) validate the effectiveness of the proposed approach. Additionally, the performance of the proposed power consumption estimation method is compared with two other data‐driven models based on multivariate linear regression and multilayer perceptron neural networks. The results demonstrate that the proposed method provides improved power consumption estimation accuracy on the selected indicators compared to the others. We also emphasize the importance of balancing the accuracy of power consumption estimation with its associated costs in the context of the proposed approach. This extra cost includes the energy needed for additional data measurement and processing. Considering this trade‐off is crucial for the practical implementation and resource optimization in robotic systems.

The Current State of Implementation of the Research Management System of the National University of Laos

The study examined the current implementation of the research management system at the National University of Laos. The population comprised 1,302 faculty members across 13 affiliated faculties, with a sample size of 306 determined using Yamane’s formula (1973). A five-point Likert scale questionnaire, validated by five experts in research and management, served as the primary data collection instrument, yielding a reliability coefficient of 0.97. Stratified sampling was employed to gather the data, which were analyzed using descriptive statistics, including frequency, percentage, mean, and standard deviation. Additionally, content analysis was used for the qualitative component. The findings revealed that the overall input of the system was rated at an Agree level, although limited budget allocation and the absence of research manuals were identified as critical issues. The research process was frequently practiced, but deficiencies in applying research findings were noted. The output was similarly rated at an Agree level, though there was limited utilization of research outcomes. While generally positive, feedback mechanisms lacked sufficient depth in reflection and improvement. To optimize research management, it is recommended that managers focus on securing financial resources, providing comprehensive research guides, enhancing the utilization of research outputs, and strengthening feedback processes

Особенности организации оказания медицинской помощи в частных медицинских организациях дерматологического профиля.

The population’s need for dermatological care requires the creation of a new level of organization of medical care based on medical information systems capable of improving the activities of private medical organizations and improving the quality of services provided in the dermatological profile. Purpose of the study is to reveal the features and directions of the formation of high–quality dermatological care in private medical organizations. Materials and methods. In the process of achieving this goal, statistical data, legislation, and the medical information system were studied. Methods of observation, generalization, comparison, grouping, and data analysis were used. Subject. An algorithm for organizing dermatological medical care, focused on improving quality through the introduction of a narrowly specialized medical information system. Results. The basic algorithms for the implementation of a medical information system for a private clinic of a dermatological profile based on the construction of a scheme of medical and social characteristics of dermatological diseases and focused on nosological forms of the most common etiologies are proposed. A distinctive feature of the organization of the provision of medical services by private dermatological clinics is the quality, which allows not only to provide a highly effective service to the population, but also to gain a competitive advantage in the market. In the process of development and implementation, the basic principles of an information system focused on achieving the set goals were determined. The version of the medical information system implemented in practice, based on the research materials, made it possible to integrate. Conclusion. The specific features of the implementation of a narrowly specialized medical information system in private medical organizations are determined. Directions of improvement have been formed within the framework of the state implementation of a common electronic database of patients through EGISZ.

Implementation of sensorless indirect vector control of induction motor with closed-loop current control

Abstract The paper focuses on the development and testing of an advanced induction motor control method. This method, known as indirect rotor flux-oriented vector control, allows independent control of motor torque and flux, providing high dynamic performance similar to that of a DC motor. Additionally, the implemented system is sensorless, eliminating physical rotor position sensors, which reduces complexity and cost while increasing system reliability. The proposed system uses a rotor flux estimation algorithm, based on mathematical models, which provides the necessary information for vector orientation in the absence of a sensor. Additionally, closed-loop current control improves stability and accuracy of the control by correcting output current deviations from reference values. Thus, the system provides fast and accurate response in the presence of load variations and external disturbances. Simulations and experimental tests were carried out in the Simulink environment, where the proposed model was evaluated under various operating conditions. The results demonstrate the efficiency of the system and the validity of the method for industrial applications where precise and robust induction motor control is required.

Fusion algorithms on identifying vacant parking spots using vision-based approach

<div class="page" title="Page 1"><div class="layoutArea"><div class="column"><p>In densely populated cities, parking space scarcity results in issues like traffic congestion and difficulty finding parking spots. Recent advancements in computer vision have introduced methods to address parking lot management challenges. The availability of public image datasets and rapid growth in deep learning technology has led to vision-based parking management studies, offering advantages over sensor-based systems in comprehensive area coverage, cost reduction, and additional functionalities. This study presents an innovative fusion algorithm that integrates object detection with occupancy state algorithms to accurately identify vacant parking spaces. The employment of the YOLOv7 framework for vehicle instance segmentation, combined with three occupancy algorithms Euclidean distance (ED), intersection over reference (IoR), and intersection over union (IoU) are compared to determine the occupancy state of observed areas. The proposed method is evaluated using the CNRPark-EXT dataset, and its performance is compared with state-of-the-art methods. As a result, the proposed approach demonstrates robustness under varying conditions. It outperforms existing methods in terms of system evaluation performance, achieving accuracies of 98.88%, 97.99%, and 90.04% for ED, IoR, and IoU, respectively. This fusion detection method enhances adaptability and addresses occlusions, emphasizing YOLOv7’s advantages and accurate shape approximation for slot annotation. This study contributes valuable insights for effective parking management systems and has potential usage in the real-world implementation of intelligent transportation systems.</p></div></div></div>

Optimization of Application Testing in Financial Companies Using Robotic Process Automation (RPA)

In the rapidly evolving era of digitalization, financial companies face the challenge of enhancing efficiency and accuracy in application testing processes. Manual testing, which is time-consuming and prone to human error, is a major obstacle in ensuring the reliability of applications. This study aims to optimize the application testing process in financial companies by implementing Robotic Process Automation (RPA) as a tool for automated testing. The methodology used includes the analysis of testing requirements, selection of the appropriate RPA tools, and the implementation and performance evaluation of the RPA system. The results of the study indicate that the implementation of RPA can reduce testing time and improve error detection accuracy. For the partner application, there are a total of 6 test sets, 31 test cases, 31 scenarios, and 112 test steps. Meanwhile, for the sales application, 6 test sets, 29 test cases, 29 scenarios, and 115 test steps were identified. Using RPA, the duration of manual testing, which was previously limited to 8 hours per day, significantly increased to 24 hours per day, allowing continuous testing without human intervention. The number of test cases handled increased from 7 cases per day to 63 cases per day, indicating a significant improvement in efficiency. The number of test steps also increased from 328 steps per day to 2952 steps per day. The implementation of RPA also positively impacted accuracy by reducing human errors that frequently occur in manual testing. Overall, this study demonstrates that the application of RPA in testing applications at AMF Finance significantly improves the capacity, efficiency, and accuracy of the application testing process.

Design and implementation of a cloud-based energy monitoring system for 5G base stations

Design and implementation of a cloud-based energy monitoring system for 5G base stations

Analysis and Implementation of Underwater Single Capacitive Coupled Simultaneous Wireless Power and Bidirectional Data Transfer System

Analysis and Implementation of Underwater Single Capacitive Coupled Simultaneous Wireless Power and Bidirectional Data Transfer System

Hardware-assisted virtualization extensions for LEON processors in mixed-criticality systems

The increasing complexity of real-time embedded critical systems has driven the adoption of new methodologies to mitigate high development costs. One of the most common approaches is the implementation of mixed-criticality systems, characterized by integrating applications with different levels of criticality on the same processing unit. In these systems, applications run on a separation kernel hypervisor, a software element that controls the execution of the different operating systems, providing a virtualized environment and ensuring the necessary spatial and temporal isolation. This paper presents the design and implementation of hardware virtualization extensions for LEON processors, whose use is widespread in the field of space systems. These extensions enable the execution of virtualized applications with minimal transitions to the hypervisor, enhancing system performance. Our proposed solution defines a specific execution mode and duplicates control and status registers for the exclusive use of virtualized applications. In addition, the functionality of the hardware and software interrupt signals has been extended, allowing developers to select which ones are handled by the hypervisor and which ones by the guest operating systems directly. We have implemented the proposed extension using the LEON version 3 processor’s original VHDL code, and validated it using exhaustive tests to evaluate performance and resource consumption. The results show that the proposed modifications allow virtualized applications to execute without hypervisor intervention, matching the performance when non-virtualized while significantly outperforming existing para-virtualization solutions. Resource consumption increases by 6% to 14%, depending on the FPGA, which is low when compared to available resources. Power consumption increases by only a few milliwatts, which can be considered negligible.

The performance analysis of a compressed air energy storage (CAES) for peak moving with cooling, Heating, and power production

This study focuses on modeling and optimizing a multifaceted geothermal-based energy production system within the context of Denmark. The primary objectives revolve around enhancing system efficiency and reducing operational costs. The system under investigation comprises geothermal components, an organic Rankine cycle, a compressed air energy storage facility, and an absorption chiller. The organic Rankine cycle operates using refrigerants R123 and ammonia, effectively converting thermal energy into electricity and thermal energy for various applications. Optimization was carried out employing the Response Surface Method in tandem with Design-Expert software, facilitating the fine-tuning of objective functions. Two key objectives were selected: Exergy Round Trip Efficiency and cost rate, aimed at improving technical performance and curbing economic expenditure. A range of design variables were considered for optimization, including turbine and pump inlet temperatures, geothermal mass flow rate, turbine and pump efficiencies, compressor and gas turbine efficiency, inlet pressure to the compressed air energy storage tank, and evaporator pinch point temperature. The system reached an impressive exergy efficiency peak of 77.98%, accompanied by a modest cost rate of 5.48 $/h. The costliest components in the system were the compressed air energy storage unit, followed closely by organic Rankine cycle 1 and organic Rankine cycle 2. In contemplating the practical implementation of this innovative energy system, ten cities in Denmark underwent rigorous analysis, accounting for technical and economic factors. Subsequent assessments identified Aarhus as the optimal location to initiate the system. The environmental results showed that by producing 13981.9 megawatts of electricity annually in Arhus City, it is possible to help reduce CO2 emissions by 2853.2 tons of CO2/year and avoid environmental costs of 68455.3 $/year. The environmental assessment also highlighted the potential for substantial green space expansion, estimating an additional 13 hectares of green areas in the city of Aarhus, Denmark.

Pembuatan Sistem Pencatatan Pinjaman Kelompok Wanita Tani Berbasis Web Menggunakan Metode V-Model

This research focuses on designing a web-based loan recording system for the Jati Mekar Women Farmers Group (KWT) in Sindanglaut Village. KWT Jati Mekar is an organization consisting of women farmers in Sindanglaut Village who have joined together to improve their welfare and productivity through various agricultural and economic activities.The main objective of the research is to develop a system that can increase efficiency and accuracy in recording group members' loans. The methodology used is the V-Model, which allows for structured and systematic system development through stages of requirements analysis, design, implementation, testing, and maintenance.This system is designed to facilitate the process of recording, monitoring, and reporting loans, as well as increasing transparency in the group's financial management. During the development process, blackbox testing was conducted to evaluate the system's functionality without examining the internal code structure. This testing focuses on the system's inputs and outputs, ensuring that each feature functions according to expected specifications.The research results show that the implementation of this web-based system can address problems that often occur in manual recording, such as inaccurate data and difficulties in tracking loan status. Blackbox testing verifies that the system can handle various usage scenarios correctly, including member data management, loan recording, and report generation.

L’accréditation en anatomie et cytologie pathologiques

The purpose of this article is to provide a simple explanation of the accreditation process applied to the field of pathology. After defining some basic notions in the field of quality in health, and then detailing the accreditation process in general, we focus on the specific field of pathology with the implementation of the quality management system, the validation or verification of the methods and then the audit of the structure by the French committee for accreditation COFRAC. We end with some general considerations, insisting on the benefits brought by the entry of a structure into this accreditation process.

Implementation of Web-Based Administrative Payment Information System Using Laravel 10 Framework

The development of information technology drives the need for an efficient data processing system, especially in the education sector. Madrasah Tsanawiyah NU 14 Kaligading manages financial administration manually, which causes various obstacles such as data inaccuracy and slow processes. This study aims to develop a web-based information system using the Laravel 10 framework to manage tuition payments in a more structured manner. The waterfall software development method encompasses needs analysis, system design, coding, testing, and maintenance. This system is designed to facilitate the management of school financial data with main features including user data input, payments, and student arrears. The implementation results show that the system can improve the efficiency and accuracy of financial management, accelerate the administration process, and facilitate real-time data access. In addition, this system also supports long-term data archiving, improves the effectiveness of administrative staff, and minimises errors in recording. This implementation is expected to help schools utilize modern technology to improve the quality of management and administrative services.

Middle School Teachers’ Implementation and Perceptions of Automated Writing Evaluation

Despite research supporting the efficacy of Automated Writing Evaluation (AWE) in improving writing outcomes, inconsistent implementation by teachers raises concerns about the efficacy of these systems in practice. However, little is known about what factors influence teachers’ implementation and perceptions of AWE. This study examined the relationship between teachers’ implementation and perceptions of the MI Write AWE system, seeking to identify actionable factors that could enhance AWE implementation and acceptance in the future. A mixed-methods design was utilized, combining quantitative analysis of usage logs and survey data with qualitative insights from focus groups and interviews with 19 teachers who participated in a randomized controlled trial (RCT) testing the efficacy of MI Write on students’ writing outcomes. Quantitative data were subjected to descriptive and non-parametric statistical analyses, while qualitative data underwent a deductive coding process, offering an integrated view of MI Write's use and educators’ perceptions. Teachers implemented MI Write variably and not to the extent expected of them within the RCT, but they did report generally positive attitudes towards MI Write. Findings indicated that positive perceptions of system usability and usefulness may be insufficient to promote effective implementation. Instead, ecological factors such as curricular alignment and the challenge of incorporating AWE into existing workload, administrative support, and broader social and educational policy appeared as factors influencing implementation. Findings emphasize that teachers’ implementation and perceptions of AWE are dependent on a range of contextual elements beyond mere system functionality, suggesting that successful adoption requires addressing broader ecological considerations.

The implementation of robotic systems in paediatric craniofacial and head and neck surgery: a narrative review of the literature

The implementation of robotic systems in paediatric craniofacial and head and neck surgery: a narrative review of the literature