Design Stage Research Articles

Penerapan Web Service dalam Mengintegrasikan IoT dengan Platform Investasi Berbasis Website dan Mobile Android

The industrial revolution 4.0 which is occurring rapidly has resulted in changes in various fields, IoT is a technology that is currently widely used to automate processes in everyday life. In this research, IoT was used to monitor the development of goat livestock in Dermaji village. The problem with IoT development is that when you want to display data or results obtained, IoT does not work well if the information displayed is less interactive and difficult for end users to understand, so a solution needs to be created to display the results obtained by developing website and mobile-based applications. The aim of this research is to integrate an IoT platform with Android mobile-based websites and applications by implementing a RESTful web service API. Web and mobile application development uses the RAD method which consists of several stages, namely the design stage of system requirements, system design and implementation into a programming language. In integrating IoT with websites and mobile, RESTful web service technology is applied. The result of this research is an IoT platform that is integrated with website and Android mobile based applications.

AI 도구 활용에 관한 초등교사의 인식 분석

Objectives The purpose of this study is to understand the level of awareness of AI tools among elementary school teachers, their perceptions of the use of AI tools at different stages of lesson design, and their considerations when introducing AI tools into the classroom. Methods For this purpose, a survey was conducted among 130 teachers working in elementary schools. To analyze the survey results, the frequency, mean value, and standard deviation of each question were analyzed, and independent sample t-test and one-way analysis of variance were conducted to check the significance of differences by respondents' characteristics. In addition, a data visualization technique called ‘word cloud’ was used for open-ended descriptive questions, and a keyword-centered analysis method was used to summarize the main questions and categorize and code key words for analysis. Results The main findings of the study are as follows First, According to our survey, elementary school teachers use Entry, ChatGPT, and Autodraw the most among the AI tools they use in the classroom. Second, When analyzing elementary school teachers' perceptions of using AI tools in lesson design, we found that they expect the most help from AI tools in the assessment phase (M=4.07) and the most help in automating assignment and test grading (M=4.35). Third, elementary teachers were more likely to be positive about the need to utilize AI tools, but less likely to be optimistic about their readiness. Fourth, elementary school teachers cited difficulty in preparing education for AI tools (M=4.02) as a reason for the difficulty in utilizing AI tools, and the configuration of facilities and educational environment for utilizing AI tools (M=4.25) as an enabling factor for utilizing AI tools. Fifth, according to the word cloud analysis, diverse teaching and learning was cited as an expectation for the introduction of AI tools, over-reliance was cited as a concern, and continuous and gradual teacher training was cited as a way to increase the use of AI tools. Conclusions This study has several implications for the use of AI tools in education. First, teacher education is needed to ensure that elementary school teachers have expertise in AI tools and can actively utilize them. Second, AI-based educational platforms that can be used across the board in lesson design should be developed and utilized in the classroom. Third, we need to expand the infrastructure to support the use of AI tools in schools. Fourth, administrative and technical support is needed to ensure that the use of AI tools does not lead to additional work for teachers.

Development of Combinatorial Thinking Ability Questions for Students

This study aims to develop a question instrument that can measure combinatorial thinking skills in students. The method used is the 4-D development model, which consists of Define, Design, Develop, and Disseminate stages. The questions developed were tested on 20 students of Mathematics Education at PGRI Argopuro University Jember. The validation results by two validators showed that the question had a validity level with an average value of 3.71, which was included in the valid category. Reliability testing using Alpha Cronbach yielded a value of 0.931, indicating high reliability. Field test data showed that 65% of students were in the medium combinatorial thinking ability category and 35% in the high category. The highest indicator of combinatorial thinking ability is identifying several problems (96%), while the lowest is considering several combinations of other issues (34.16%). The developed instrument is expected to help analyze students’ combinatorial thinking ability and can be used in similar research or teaching in the future.

Выдавливание замкового блока при строительстве транспортных тоннелей большого диаметра

Purpose: to consider the problem of the key-segment extrusion that occurs during the construction of subway tunnels in St. Petersburg using prefabricated high-precision reinforced concrete linings with increased water resistance with a diameter of 10.3 m. To analyze the possible processes leading to this phenomenon and methods of solving the problem in construction conditions. To determine the consequences of the currently used solutions to the problem. To develop an analytical methodology for determining the magnitude of the friction force acting on the radial joints planes of contacting segments based on classical structural mechanics methods (displacement method). To carry out mathematical modeling of the extrusion process by the finite element method and compare its results with those obtained analytically. To develop recommendations for the elimination of block extrusion, which can be both applied in construction conditions and taken into account when designing lining structures. To analyze the effectiveness of the proposed recommendations. Methods: full-scale data from constructed objects, analytical calculations and mathematical modeling by the finite element method were used. Results: an analytical method is proposed for determining the magnitude of the pushing force of the key-segment and the friction force in the radial segment joints. The results of mathematical modeling showed high convergence of the results obtained by the two methods. Recommendations have been developed to eliminate the phenomenon of extrusion, and their effectiveness has been evaluated. Practical importance: the results of the study can be used at the design stage of prefabricated reinforced concrete linings with increased water resistance for large-diameter tunnels, as well as in construction conditions at the time of installation of the key segment.

Development of a 3D Ethnomathematics Model for the Dayak Tribe of Central Kalimantan with the Assistance of Virtual Reality Media

This research aims to test the feasibility of the 3D Ethnomathematics model for the Dayak Tribe of Central Kalimantan as well as provide alternative learning media for students using Virtual Reality technology and create a 3D Ethnomathematics model based on Virtual Reality so that students get an in-depth and interesting learning experience to strengthen numeracy literacy. This research uses the Research and Development (RnD) method with the ADDIE (Analysis, Design, Development, Implementation, Evaluation) development model. This research was conducted using qualitative and quantitative solving approaches. A qualitative approach is used at the analysis stage, model development design stage, and assessment stage of product feasibility obtained from an open questionnaire in the form of input, responses, criticism, and suggestions. A quantitative approach is used in product feasibility assessment tests from media experts and material experts as well as testing the effectiveness of 3D models from students. Feasibility assessments by media experts and material experts were obtained from closed questionnaires. The effectiveness test was carried out through a pretest-posttest design in small groups, namely 5 elementary school students. Based on the research results, the results of the feasibility test by media experts and material experts showed that the 3D Ethnomathematics model of the Dayak Tribe of Central Kalimantan was in the feasible category with a percentage of 92% and 90%. The results of the effectiveness test carried out in small groups through pretest-posttest increased from the pre-test average with a score of 64 to 84 during the post-test after using the 3D Ethnomathematics model. So, it can be concluded that the 3D Ethnomathematics model of the Dayak Tribe of Central Kalimantan is feasible and effective to use.

Cost and Benefit Analysis of Different Buildings Through Reuse of Treated Greywater

The fact that the impacts of climate change cannot be prevented in the short term has increased the importance of climate change adaptation activities, and many national and international studies have been initiated in this regard. Greywater reuse (GWR) activities have become important methods recommended by the Intergovernmental Panel on Climate Change (IPCC) for adaptation to climate change. This study selects GWR from 3 different real typologies, a hotel, a residential building, and an industrial plant planned in Izmir Province of Türkiye, to design greywater systems followed by cost-benefit analyses. The applicability of GWR systems in these typologies has been analyzed, and comparisons have been made. GWR systems at the project design stage eliminate the need for installation modifications. Therefore, it is concluded that new buildings should be designed to integrate these alternative water resource systems. Recovered water through the installation of GWR systems is recommended to be used as flushing water, and the excess for garden irrigation, car washing and cleaning. The payback periods were calculated as 12 years for the hotel and industrial plant and 6 years for the residential building. The water savings were calculated as 46% for the hotel, 44% for the residential building, and 29% for the industrial plant. The results put forth the feasibility of this alternative water resource.

Analysis of the possibility of description the pile load-settlement curve based on the CPTu results

One of the field soil tests commonly used for pile design is CPTu static sounding. The load-bearing capacity of pile foundations is commonly verified in field experiments through static load tests. The result of this test is the load-settlement relationship of the pile which can be approximated by a curve named M-K. The main aim of the work is to check the possibility of determining the parameters of the M-K curve based on the results of field tests with the CPTu sounding. Experimental research leads to relationships between the parameters of the M-K curve and geotechnical parameters, including CPTu static sounding. The paper presents the possibilities of using the CPTu sounding to estimate the pile settlement curve. Knowledge of this relationship at the foundation design stage allows you to confirm whether the pile meets the load-bearing conditions and to determine the safety margin, which gives designers greater opportunities to correctly design the foundation

Analysis of culvert design methods as methods of ensuring reliability at the design stage

This analysis focuses on the factors and methods for ensuring the reliability of metal culverts, which are essential for the trouble-free operation of motorways. Special attention is paid to the calculation methods for structures with annular cross-sections. The results of the work are conclusions about the necessity of their annular cross-section. They also conclude the importance of developing these structures to enhance culverts’ durability and failure-free operation. This involves considering the stochastic nature of load parameters, structural materials, and operating conditions. Addressing this issue is possible through the assessment of reliability indicators for culverts using simulation modeling methods.

Flagging Frailty in the Emergency Department: A System to Identify and Visualise Frailty

Abstract Background Older adults with frailty who present to the Emergency Department (ED) are at increased risk of hospitalisation, prolonged length of stay, deconditioning and loss of independence.1 Early identification of frailty using a validated tool, such as the Clinical Frailty Scale (CFS), is widely recommended to inform clinical decisions, identify the best pathway of care for older adults with frailty, and for potential use as a predictor or an outcome.2 We aimed to develop and implement a system of frailty identification which is highly visible, digitised and integrated with routine ED processes. Methods In the ED of a large teaching hospital, an expanded interdisciplinary Acute Frailty Team (AFT) commenced work in the ED in February 2024. The AFT aimed to screen all over 70s presenting within working hours for frailty using CFS. ED consultants collaborated with software developers through iterative design stages to create a ‘Frailty Flag’ for the ED Whiteboard with the requirements that it is highly visible, easy to use and highlights patients with higher frailty scores. Results In April 2024, a ‘Frailty Flag’ was launched on the ED Whiteboard, prominently displaying the CFS and using traffic light colouring to highlight those with higher CFS scores. As part of standard work, the AFT populate the CFS on the ED Whiteboard, which is viewed by all staff in ED on large wall-mounted screens. Feedback from ED and inpatient staff indicate that a highly visible frailty score is a valuable addition to the ED Whiteboard which allows them to prioritise care and supports decision making regarding suitability for geriatric care pathways. Conclusion A Frailty Flag on the ED Whiteboard allows for easy, accessible communication of frailty scores to the ED multi-disciplinary team. Next steps involve integrating the Frailty Flag with in-patient systems and developing standard work for out of hours use of the system.

Sistem Informasi Penyewaan Arena Futsal dan Alarm Permainan dengan Menggunakan Laravel Berbasis Web di Kota Kraksaan Kabupaten Probolinggo

The advancement of information technology has transformed the management of futsal businesses, simplifying processes such as court reservations, schedule management, payments, and providing automated notifications to users through a game alarm feature. This system also includes an automatic reporting feature that generates accurate and real-time rental summaries. This study aims to design and implement a web-based futsal rental information system using the Laravel framework, featuring a game alarm to enhance management efficiency. The system is designed to address limitations in futsal rental management and time scheduling, as well as simplify the reporting process, which is currently done manually. The system development follows the waterfall model, which includes requirements analysis, system design, implementation, testing, and maintenance stages. The results show that the implementation of this web-based system significantly improves the efficiency of futsal court management in Kraksaan City, particularly in managing game time, rental reporting, and real-time financial management. The game alarm feature effectively reduces time conflicts between users, while the automatic reporting feature helps business owners track revenue and rental trends easily. The implementation of this system is expected to improve service quality and provide a better user experience, while assisting business owners in managing their operations more efficiently.

Evaluating the Harmonic Effects on the Thermal Performance of a Power Transformer

Harmonics in the power grid contribute to increased power losses in both the core and windings of power transformers. These losses lead to abnormal rises in temperature causing overheating and reduce the efficiency of the transformer. If the losses and temperature exceed the values set during the design stage for linear load conditions, it can damage the transformer’s insulating materials and shorten its lifespan. To assess the thermal impact of power system harmonics on transformers under steady-state and transient conditions, the rated losses and harmonic losses of the transformer are calculated. These losses are then inputted into a developed thermal 3D finite element method (FEM) performance model to determine the temperature distribution of transformer components. The numerical results from the thermal model will be compared with data from a Hyundai test report and real measurements from Egypt’s Kureimat power plant, specifically a 750 MW combined cycle power plant. The thermal modeling is focused on a step-up (16.5/240 kV), 240 ± 4 × 2.5%, 180/240/300 MVA power transformer operating in ONAN, ONAF1, and ONAF2 modes. This paper shows that the developed model aligns closely with actual measurements and the HYUNDAI test report. The loss calculations reveal that the discrepancy in total losses, with and without accounting for harmonics, becomes more pronounced as the load increases. Using this model, the presence of grid harmonics results in a higher temperature distribution across transformer components, leading to an increase in the hot spot temperature.

Development of E-Earning Learning Media Based on the Kahoot Application in Geography Subjects

Learning media is a very important component of learning resources in the learning process. This research aims to develop e-learning media based on the Kahoot application in geography subjects regarding rural and urban spatial interactions. This research uses the ADDIE development research method which consists of five stages, namely the analysis stage, the design stage, the development stage, the implementation stage, and the evaluation stage. The research results showed that the media expert validation score was 85%, the material expert validation score was 83%, the teacher validation score was 85%, and the average student response score was 97.81%. The scores resulting from validation by experts and the student response scores show that the Kahoot-based Elearning learning media in the geography subject on topic of Village and City Spatial Interaction is categorized as very valid and suitable for use in the learning process.

Translating and performing China for the English-speaking stage: Royal Shakespeare Company’s re-staging of The Injustice to Dou E

Contemporary China is increasingly open in its interaction with the global cultural community, generating one of the most prestigious projects—the Royal Shakespeare Company’s “Chinese Classics Translation Projects” (2015–2023). This article examines this project’s first production Snow in Midsummer, a performance based on a new translation of the Chinese classic Dou E Yuan (窦娥冤, The Injustice to Dou E That Moved Heaven and Earth). Through exploring the multiple agents involved in the RSC’s re-staging of the play, this article traces the processes of translation and performance characterised by an oft-hidden collaborative agency. It uncovers the collaborative agency at work and argues that the agency in this theatre production aims to set the conditions to make the original Chinese classic new, so as to enable its rejuvenation and transformation. Key finding of this article is that the collaborative agency of the translator, playwright, director, stage designer, and actors/actresses in re-staging has enlivened the 13th-century Chinese classic with enriched narratives and produced a performance that is nuanced and relevant to the contemporary world. This article makes a case for the paradigmatic shift from a product-based approach to theatre translation to a process-based one. It opens new avenues to future research into the question of complexity of collaborative agency in restaging the foreign classic to the contemporary English-speaking audiences for both areas of theatre translation for performance and transnational theatre production.

DEVELOPMENT AND IMPLEMENTATION OF A MOBILE APPLICATION FOR STUDENT ATTENDANCE MANAGEMENT

The article deals with the process of development and implementation of a mobile application, designed to automate the attendance management of students of Astana IT University. The application is implemented using React Native technologies for cross-platform development, which allows to work effectively on devices. cross-platform development, which allows it to work effectively on devices with different operating systems, such as Android and iOS. with different operating systems, such as Android and iOS. For database management uses the Firebase cloud platform, which provides reliable storage and fast processing of databases. reliable storage and fast data processing. One of the important factors of the application is its scalability. To realize the flexibility and scalability of the application, as well as communication with the learning management system, it was It was decided to use the REST API technology.The stages of architecture design, technology selection, data processing algorithms, visualization and security are described. Factors such as usability, speed of development, and data security were considered when selecting technologies. Special attention was paid to data processing algorithms and data visualization to present users with an intuitive interface for tracking attendance.The application significantly improves the interaction between students and faculty with the learning system, simplifying the process of attendance tracking, and providing transparency and automation of the attendance process. The developed application also reduces manual labor and reduces the possibility of human error.

Emission reduction planning for carbon footprint in rural residential life cycle under the low-carbon background

In the context of global low-carbon development, reducing rural residential carbon emissions is the key to implementing emission reduction policies. In order to reduce carbon emissions from rural housing, a carbon emission classification method based on residential life cycle assessment is proposed based on the characteristics of rural housing in China. Its innovation lies in achieving precise analysis of carbon emissions from multiple stages of residential design, construction, and use. Secondly, introducing a lifecycle based emission reduction planning strategy to achieve a new pattern of low-carbon emission reduction in rural residential areas. Taking a rural residential building as a case study, in the early stage of implementing emission reduction, the mean values of the initial carbon emissions corresponding to building energy consumption, energy consumption, and resident living habits were 689, 691, and 683, with standard deviations of 81, 79, and 84. After implementing emission reduction plans, the values decreased to 686, 674, and 631, respectively, with standard deviations reduced to 28, 32, and 13. It was evident that emission reduction planning not only significantly reduced the mean carbon emissions but also substantially decreases their variability, enhancing the stability of carbon emissions. This research contributed to a deeper understanding of the carbon emissions from rural residential life cycles and provides theoretical support and data references for the formulation and implementation of more scientific and effective emission reduction planning. Simultaneously, it promoted low-carbon development in rural areas of China, achieving a harmonious coexistence of economic and social development with environmental protection and contributing to global low-carbon development.

TOOLS FOR MODELING AND DESIGN IN THE PROCESS OF TRAINING SPECIALISTS IN VOCATIONAL AND TECHNOLOGICAL EDUCATION INSTITUTIONS

The relevance of the research lies in the growing need of future teachers for effective and productive tools for teaching design, which can significantly reduce the time of learning new progressive software tools. With the development of technology and increasing competition in the market, speed and quality of design are becoming critical success factors. The purpose of the study is to study the effectiveness and productivity of using SolidWorks in the process of teaching design, as well as to determine its advantages over other CAD programs. The article analyzes the use of SolidWorks in the modern engineering and pedagogical process, highlights its advantages compared to other CAD programs, and emphasizes its importance for educators in the process of creating and learning new products and technologies. SolidWorks is positioned as an innovative design program that has numerous advantages due to the interface and a wide set of tools that allow you to significantly increase the efficiency and productivity of learning for the work of future educators. The program also provides the ability to perform various analyzes and simulations, which contributes to the improvement of product quality, allowing to identify potential problems in the early stages of design and reduce costs and risks in design. In general, the use of SolidWorks during the educational process provides ample opportunities for training future teachers. This software significantly increases the efficiency and quality of the educational process, making it an integral part of modern pedagogical education. Future innovations and developments in SolidWorks promise to further improve the competitiveness of design at various stages of the educational process.

An AUV stability estimation method by considering rudder design parameters

Stability is a critical characteristic of Autonomous Underwater Vehicles (AUVs). During the initial design stage, selecting an appropriate rudder design is essential to ensure the overall stability performance of the AUV. This study introduces a method for predicting the stability of AUVs equipped with different rudder configurations. By parametric modeling based on the geometric characteristics of X-rudders, the rudder area, aspect ratio, and position parameters, which significantly impact AUV stability, were selected as the primary research objects. Formulas were derived to estimate the associated hydrodynamic forces and moments critical for assessing the stability index. Validation of this approach is conducted through comparison with Computational Fluid Dynamics (CFD) simulations. The results show that this method effectively predicts the hydrodynamic behavior of AUVs, facilitating stability assessments across various rudder designs.

A Comparative Analysis of Performance Simulation for PUI Detectors Based on Traditional Probability Model and the Vasyliunas and Siscoe Model.

In recent years, the enthusiasm for deep space missions has remained unabated, resulting in continuous advancements in the research field of space environment and particles. Many instruments carried on these missions have conducted detection of pickup ions (PUIs) in the solar system. For those instruments, simulation is an effective means and a crucial step for their performance optimization and future operation in-orbit. It holds great significance for the instrument's in-orbit performance assessment, science operation optimization, and detection efficiency enhancement. In this paper, the traditional probability model and the Vasyliunas and Siscoe (V-S) model are used to generate the PUIs, which are the input for the simulation of the PUI detector. For further analysis, the numerical results of the simulation are processed to calculate the instrument's geometric factor, mass resolution, and count rates. Then, two sets of experiments are carried out for the comparison of the traditional probability model and the V-S model. The results show that, for the simulation of the instrument in the design stage, the simulation results of the traditional probability model and the V-S model are not much different. However, for the simulation of the instrument performance in-orbit, the PUI data generated based on the V-S model gave a better result than those of the traditional probability model. This conclusion is of great significance for evaluating the detection ability of the PUI detector in future deep space explorations.

Operational greenhouse gas emissions of various energy carriers for building heating

The decarbonisation of the building heating sector requires a shift from decentralised fossil fuel heating appliances to systems converting energy carriers with low greenhouse gas (GHG) emissions. However, for certain energy carriers, a considerable portion of GHG emissions arises upstream during production, processing and transportation, rather than during energy conversion. Accurately quantifying these indirect GHG emissions typically requires life cycle assessments, which are often resource-intensive and impractical during the early stages of energy system design. This study introduces operational GHG emissions as a pragmatic metric for the preliminary assessment of energy carrier environmental impact in building heating applications. These operational GHG emissions include both direct CO2 emissions and indirect CO2, CH4 and N2O emissions. Based on a comprehensive literature analysis, average estimates are proposed for the operational GHG emissions of various energy carriers within a European context, including natural gas, oil, coal and wood, as well as the average European and Belgian electricity grid, and hydrogen from various production methods. The findings underscore the significant contribution of indirect GHG emissions, as the selection of the energy carrier with the lowest environmental impact hinges on whether direct emissions alone or the broader operational GHG emissions are considered. By integrating operational GHG emissions into the early design stages of energy systems, stakeholders can make more informed decisions about which energy systems warrant further investigation, thereby facilitating more sustainable energy system development from the outset.

A Hybrid Metaheuristic based Feature Selection Framework for In-silico Mutagenicity Prediction

Mutagenicity is both a toxic risk to humans and an indicator of carcinogenicity. Hence, estimating mutagenicity in the early stages of drug design is crucial to minimize last-stage failures and withdrawals in drug discovery. Recently, in-silico methods have started to play critical and essential roles in the drug development process because they are low cost and low effort procedures. This study aims to predict mutagenicity of chemicals using in-silico methods. To achieve this goal, a two-phased flexible framework was proposed: 1) searching the effective and representative descriptors subset with Butterfly Optimization Algorithm (BOA) and Particle Swarm Optimization and 2) predicting mutagenicity of chemicals by the selected descriptor using gradient boosted tree-based ensemble methods. The study used two datasets: one including 8167 compounds for descriptor selection and modelling, and another containing 716 external compounds to validate the efficacy of our models. The datasets comprise 162 descriptors calculated using PaDEL. The results of both the cross-validation and the external data showed that descriptors reduced by nearly one-third by BOA (51 descriptors) yielded similar or slightly better predictive results than results obtained with the entire data set. The accuracy range attained by the proposed approach using BOA is approximately 91.9% to 97.91% for the external set and 83.35% to 86.47% for the test set. This research contributes that using optimization techniques for improving early drug design and minimizing risks in drug discovery can be considered as a valuable insights and advances in the field of drug toxicity prediction, based on the findings.