Application Development Framework Research Articles

Засоби та інструменти для розробки веб-додатку з тестування рівня знань студентів

This work is dedicated to the exploration of modern web application development technologies and their use in assessing knowledge levels. Current and relevant technologies facilitating web application creation were studied, and a comparative analysis of the most popular frameworks for web development was conducted. The research subject of this scientific work revolves around existing contemporary frameworks and tools utilized in developing web applications. The study concentrates on learning about current technologies associated with web application development and their utilization in assessing knowledge levels. A thorough analysis of contemporary methodologies facilitating an effective web-oriented application development process was carried out. The key technologies forming the foundation of web application development were scrutinized and elaborately described, including a comparative analysis of the most widely used frameworks for web development. Tools aiding in development support were examined, and an educational web application for conducting online testing was created. Particular emphasis was given to instruments fostering effective project development and support. The work delved into development support tools and their role in creating web applications. The authors developed an educational web application for online testing, utilizing one of the most popular JavaScript frameworks - Angular. The objective of this work was to select a modern framework for educational web application development. The primary goal was to choose a contemporary framework for crafting an educational web application and develop a fully functional web application ready for use. The outcomes included the creation of a fully functional web application ready for deployment. This web application resulted from a comprehensive study of contemporary frameworks and tools for web application creation. It can be utilized in the educational sphere for conducting tests and assessing knowledge levels, as well as in other fields requiring online testing and the collection of user knowledge information.

Rosct: A distributed, scriptable CT control framework for iterative research-oriented method and application development

rosct: A distributed, scriptable CT control framework for iterative research-oriented method and application development

Capabilities Comparison Of The Augmented Reality Application Development Frameworks On The Android Platform

In the implementation of augmented reality, the natural process of human-computer interaction continues to be a challenge, specifically to reduce the complexity in the effort of using and providing comfortability. Therefore, it is necessary to search for methods and tools to simplify the complex process of building Augmented Reality applications. Vuforia is a multi-platform that has long been used as an Augmented Reality application development framework. Android and iOS platform frameworks are the new alternatives following the development of cellular technology. Furthermore, a comparative capability was conducted between Vuforia and ARCore on the Android platform. The general performance and the ability to understand the environment include working in horizontal and vertical planes, the ability to work based on lighting conditions, and the distance of the camera during the tests. The results showed that ARCore is superior to Vuforia in almost all testing metrics. However, in overexposed or too dim lighting and at very close surfaces, Vuforia is slightly superior but not essential. Therefore, it can be concluded that ARCore's capability is better than Vuforia.

EksPy: a new Python framework for developing graphical user interface based PyQt5

This study introduces EksPy Python framework, a novel framework designed for developing graphical user interface (GUI) applications in Python. EksPy framework is built on PyQt5, which is a collection of Python bindings for the Qt libraries, and it provides a user-friendly and intuitive interface. The comparative analysis of EksPy framework with existing frameworks such as Tkinter and PyQt highlights its notable features, including ease of use, rapid development, enhanced performance, effective database management, and the model-view-controller (MVC) concept. The experimental results illustrate that EksPy framework requires less code and enhances code readability, thereby facilitating better understanding and efficient development. Additionally, EksPy framework offers a modern and customizable appearance, surpassing Tkinter’s capabilities. Furthermore, it incorporates a built-in object-relational mapping (ORM) feature to simplify database interactions and adheres to the MVC architectural pattern. In conclusion, EksPy Python framework emerges as a powerful, user-friendly, and efficient framework for GUI application development in Python.

A new modular framework for high-level application development at HEPS.

As a representative of the fourth-generation light sources, the High Energy Photon Source (HEPS) in Beijing, China, utilizes a multi-bend achromat lattice to obtain an approximately 100 times emittance reduction compared with third-generation light sources. New technologies bring new challenges to operate the storage ring. In order to meet the beam commissioning requirements of HEPS, a new framework for the development of high-level applications (HLAs) has been created. The key part of the new framework is a dual-layer physical module to facilitate the seamless fusion of physical simulation models with the real machine, allowing for fast switching between different simulation models to accommodate the various simulation scenarios. As a framework designed for development of physical applications, all variables are based on physical quantities. This allows physicists to analytically assess measurement parameters and optimize machine parameters in a more intuitive manner. To enhance both extensibility and adaptability, a modular design strategy is utilized, partitioning the entire framework into discrete modules in alignment with the requirements of HLA development. This strategy not only facilitates the independent development of each module but also minimizes inter-module coupling, thereby simplifying the maintenance and expansion of the entire framework. To simplify the development complexity, the design of the new framework is implemented using Python and is called Python-based Accelerator Physics Application Set (Pyapas). Taking advantage of Python's flexibility and robust library support, we are able to develop and iterate quickly, while also allowing for seamless integration with other scientific computing applications. HLAs for both the HEPS linac and booster have been successfully developed. During the beam commissioning process at the linac, Pyapas's ease of use and reliability have significantly reduced the time required for the beam commissioning operators. As a development framework for HLA designed for the new-generation light sources, Pyapas has the versatility to be employed with HEPS, as well as with other comparable light sources, due to its adaptability.

Perancangan Aplikasi Pemesanan Tiket Wisata di Kecamatan Donorojo Menggunakan Metode Payment Gateway

Currently, the process of ordering tourist tickets is still done manually, especially in the Donorojo area, namely by visiting a travel agent or contacting the relevant party by telephone to order tickets. This process tends to take a long time, especially if users must queue to place an order. In addition, information regarding ticket prices and available schedules is not always easily accessible to users. The impact of this problem is confusion and errors in ordering tickets, as well as the buildup of queues at counters which causes congestion. To overcome this problem, we developed a tourist ticket booking application in Donorojo sub-district by implementing payment gateway methods including Flutter as a mobile application development framework and Firebase as a database management system that allows users to order tickets online, find out available tourist destination information and prices. and the schedule of tickets offered. The solution step taken is to collect and analyze data regarding popular tourist destinations, as well as implementing an online payment feature in the application. The interim results we have obtained are applications that are able to provide information about available tourist destinations, as well as provide convenience in the payment process and increase transaction security by using this payment gateway. Users can choose the desired destination, select the date and number of tickets needed, and make payment via the application. After payment is complete, the application will issue an electronic ticket which can be shown upon arrival at the tourist destination.

Systems engineering issues for industry applications of large language model

Large language model (LLM) is an important direction in the development of AGI, but its technology is still in rapid change, and its capabilities still have obvious deficiencies and imbalances, with persistent problems such as hallucination, value non-alignment, weak specialization, and black-box effect. In this case, how to apply LLM to different professional fields and develop high-quality AIGC industry applications has become a great challenge for ISVs. Building AIGC industry applications based on LLM is not simply a matter of functional realization. Although researchers and open-source communities have proposed numerous application development frameworks or tool components, there is a lack of overall architecture design for systems engineering and a lack of discussion on theories and methods of LLM application development in large-scale industry domains, such as healthcare, government affairs, finance, and media. This paper analyzes the basic ideas of LLM industry applications development, defines the functional requirements and feature requirements of LLM industry applications, puts forward the concept of Large Language Model Systems Engineering (LLM-SE), and develops an AI assisted clinical risk prediction system for amyloidosis disease based on the architecture of LLM-SE, which adopt knowledge engineering, quality engineering, etc., and verifies the LLM-SE development architecture and methodology.

Application Design: Integration of Qris E-Wallet Cryptocurrency Using Prototype Method

This research endeavors to contribute to the rapidly evolving landscape of technology-driven payment systems, with a focus on Indonesia. The primary objective is to design and develop a mobile application for a cryptocurrency digital wallet integrated with Quick Response Code Indonesian Standard (QRIS). The methodology involves utilizing Webservice for seamless implementation and Android Studio Framework for efficient mobile application development. The results showcase the successful creation of a mobile application that enables cryptocurrency owners to convert virtual assets into Indonesian Rupiah for various transactions, including purchasing mobile credits, electricity tokens, travel tickets, and other payments. The evaluation underscores the feasibility and practicality of the proposed solution, emphasizing the potential for increased ease, speed, and efficiency in transaction processing. This research opens avenues for further exploration and implementation of cryptocurrency-based payment systems, addressing the evolving needs of the digital economy in Indonesia and potentially serving as a model for global applications.Highlights : Seamless Implementation: The research successfully employs Webservice for the integration of a cryptocurrency digital wallet with QRIS, ensuring a smooth and efficient transaction process. Android Studio Framework: The use of the Android Studio Framework demonstrates the applicability and versatility of established tools in developing a robust and user-friendly mobile application for cryptocurrency transactions. Efficiency in Digital Transactions: The designed mobile application enables cryptocurrency owners to convert virtual assets to Indonesian Rupiah, enhancing transaction speed, ease, and overall efficiency in various financial interactionKeywords: Cryptocurrency, E-Wallet, QRIS Integration, Mobile Application, Digital Transactions. Keywords : Cryptocurrency, E-Wallet, QRIS Integration, Mobile Application, Digital Transactions.

Development of Toupic (Touch Picture) Applications to Improve Expressive Language in Speech-Delayed Children

This study aims to develop a product in the form of a toupic (touch picture) application to help stimulate the increase of expressive language in children with speech delay. This type of research is Research and Development (RD) using the ADDIE model (analysis, design, development, implementation, and evaluation). This research was conducted at SLB Negeri 1 Martapura, South Kalimantan. Data collection techniques using interviews, tests and questionnaires. interviews are used to get an overview of needs analysis data and product evaluation by users. The test is used to measure speech delay children's expressive language skills in the initial and final conditions after using the product. while the angle is used to measure the level of product validation by the validator. Qualitative data from interviews were analyzed descriptively while quantitative data from tests and questionnaires were analyzed using statistics with the formula P=(∑R)/N X 100%. The development of the toupic application goes through several stages, namely: 1) the analysis stage as an initial research to determine the conditions and needs of children, 2) the design stage is carried out by compiling a conceptual framework for application development, 3) the development stage, namely developing an application framework by information and technology experts who then validated by experts with a validation percentage of 95% and declared very valid, 4) the implementation stage to test the toupic (touch picture) application on speech delay children with a result of 82%, and 5) the evaluation stage showed an increase in the expressive language skills of speech delay children. from the percentage of results before and after that is 52% to 82% indicates that the application does not require final revision anymore. Thus it can be concluded that the development of the toupic application (touch picture) can improve the expressive language skills of speech delay children.

Inventory Information System: Optimizing Inventory Management for Company Business Sustainability

This research aims to investigate and describe the impact of implementing the Inventory Information System (SIPB) in optimizing inventory management, focusing on efforts to improve the company's business sustainability. The specific research objectives include analyzing operational efficiency, evaluating the impact on customer service, assessing business sustainability, identifying challenges and obstacles, and providing a conceptual framework for sustainability. Lalumiere Aesthetics Clinic is a clinic that operates in the field of beauty. One of the activities is inputting incoming and outgoing goods. At the clinic, there is often a shortage of medicine stock in the warehouse, which overwhelms the staff, and there is often an unbalanced amount of stock and the number of goods out, causing many losses to the clinic. So a system is needed that can overcome this problem. After reviewing it again, inventory management at the Lalumiere clinic is still done manually. That is, incoming and outgoing goods are written in a notebook. Hence, errors often occur, such as the number of goods needing to be balanced, causing the company to experience losses. The research method used is a literature study to understand the basic concepts of inventory information systems and the use of Laravel as a website application development framework. Prototype Development to design and develop a prototype inventory information system using Laravel as the main framework. The research results show that implementing an inventory information system using Laravel has increased the company's operational efficiency. Recording, monitoring, and managing inventory becomes more structured and automated, reducing the time required for routine tasks.

Edge, Fog, and Cloud Against Disease: The Potential of High-Performance Cloud Computing for Pharma Drug Discovery.

The high-performance computing (HPC) platform for large-scale drug discovery simulation demands significant investment in speciality hardware, maintenance, resource management, and running costs. The rapid growth in computing hardware has made it possible to provide cost-effective, robust, secure, and scalable alternatives to the on-premise (on-prem) HPC via Cloud, Fog, and Edge computing. It has enabled recent state-of-the-art machine learning (ML) and artificial intelligence (AI)-based tools for drug discovery, such as BERT, BARD, AlphaFold2, and GPT. This chapter attempts to overview types of software architectures for developing scientific software or application with deployment agnostic (on-prem to cloud and hybrid) use cases. Furthermore, the chapter aims to outline howthe innovation is disrupting the orthodox mindset of monolithic software running on on-prem HPCand provide the paradigm shift landscape tomicroservices driven application programming (API) and message parsing interface (MPI)-based scientific computing across the distributed, high-available infrastructure. This is coupledwith agileDevOps, and good coding practices, low code and no-code application development frameworks for cost-efficient, secure, automated, and robust scientific application life cycle management.

Android Mobile Application System for Pet Care Services Using MVVM Architecture

The K1 clinic (Kawan Kewan) is a veterinary clinic in the city of Magelang that was established in 2018. There are many ways to improve the services at the K1 clinic (Kawan Kewan). Pet Owners are worried when going to the vet clinic because they are uninformed of the incurred expenses that they will get after having a medical examination at the clinic. Meanwhile the clinic needs a system that can manage administration and can increase the satisfaction of customers who come to the clinic, as well as manage all administration related to the veterinary service process. The primary goal of this research is to make an Android-based mobile application to simplify administration and give a better experience for every customer who come to the veterinary clinic. In this research, the waterfall method is used as a testing tool because this method allows for departmentalization and control. Therefore, this method is suitable for solving the existing cases at the K1 Veterinary Clinic (Kawan Kewan) by utilizing the MVVM architecture framework for Android application development. The application, which was created utilizing the MVVM design and the Kotlin programming language, was tested on users and produced pleasing results. It efficiently meets the needs of users and clinics, making pet services possible.

Implementation of Crowdfunding Web Application Using AWS Amplify Architecture with End-to-End Testing Using Playwright

This research aims to address the challenges in fundraising processes, which often lack systematic and transparent approaches. To overcome these issues, a web-based crowdfunding application was developed using AWS Amplify as the cloud architecture, Next.js as the web application development framework, and Playwright as the automated end-to-end testing framework. Following the Agile Scrum methodology, the application was designed to provide a convenient and secure user experience for fundraising managers, donors, and potential beneficiaries. The evaluation results showed a high user satisfaction rate of 93.29%, indicating a significant improvement in fundraising effectiveness. Furthermore, the implementation of the web application resulted in a remarkable 210% increase in fundraising efficiency within a 19-day timeframe. The end-to-end automated testing, covering 11 test scenarios on various browsers such as Chromium, Firefox, and WebKit, demonstrated successful performance within a short testing time of 1.9 minutes. These findings validate the success and benefits of the developed web application, offering improved fundraising capabilities and high user satisfaction.

Research on the POPi Digital Model Framework for BIM Implementation in High-Rise Megaprojects

For more than a decade, researchers and practitioners have been working to advance the implementation of virtual design and construction (VDC) and building information modeling (BIM) in the construction industry. Based on the product-organization-process (POP) research model of VDC/BIM, this paper presents the product-organization-process-infrastructure (POPi) digital framework by adding the core element: the software and hardware infrastructure. This paper discusses the element models and corresponding relationship of the POPi framework in terms of practical characteristics: the diversity of BIM applications and software in high-rise megaprojects and cross-organizational task interdependence. In addition, by combining the practices of the Suzhou Zhongnan Center, this study analyzes the four core element models of the POPi framework and discusses the typical applications and benefits to projects in design and the early stage of construction based on the element models. The research results provide a theoretical framework for the BIM application and related software development of similar projects.

Comparative Analysis of Cross-Platform Frameworks

The use of frameworks for cross-platform development, whether native or hybrid, is a fundamental part of the field of programming, facilitating in one way or another to software developers to save time, reduce compilation errors, and optimize resources, among other features that denote some advantage between one tool and another. For this reason, it was decided to perform a comparative analysis between the cross-platform application development frameworks Flutter, React Native, Ionic, and Xamarin, using relevant features of each tool as parameters. For this purpose, research was conducted through a literature review of research articles, theses, and books obtained using the Google Scholar search engine, and consequently, parameters were determined that allowed comparing the mentioned frameworks. As a case study, a simple web page was developed in the Flutter framework with the help of the Visual Studio Code environment, to experiment with the characteristics of the mentioned framework directly and briefly. It is concluded that the frameworks for multiplatform development are useful tools that optimize time and maintenance by not requiring writing code to create a computer application on different platforms, benefiting developers and companies focused on software development.

Fungus Classification Based on CNN Deep Learning Model

Artificial intelligence has been developing day by day and has started to take a more prominent place in human life. As computer technologies advance, research on artificial intelligence has also increased in this direction. One of the main goals of this research is to examine how real problems in human life can be solved using artificial intelligence-based deep learning, and to present a case study. Poisoning from the consumption of poisonous fungi is a common problem worldwide. To prevent these poisonings, a mobile application has been developed using Convolutional Neural Networks (CNNs) and transfer learning to detect the species of fungus. The application informs the user about the type of fungus, whether it is poisonous or non-toxic, and whether it is safe to eat. The aim of this study is to reduce poisoning events caused by incorrect fungus detection and to facilitate the identification of fungus species. The developed deep learning model is integrated into a mobile application developed by Flutter that is a mobile application development framework, which enable the detection of fungus species from images taken from the camera or selected from the gallery. CNNs and the EfficientNetV2 model, a transfer learning method, were used. By using these two methods together, the classification accuracy rate for 77 fungus species was obtained as 97%.

Research and Application of Qt Graphic View Framework

Qt is a cross platform C++GUI application development framework. It can develop both GUI programs and non GUI programs. Qt is an object-oriented framework that is easy to extend and allows true component programming. Qt provides the Graphics View Framework to realize more advanced graphic applications. Using this framework, we can quickly design dynamic GUI applications and various drawing, collision detection and other applications.

EFFECTIVE CROSS-PLATFORM MOBILE APP DEVELOPMENT USING PROGRESSIVE WEB APPS, DEEP LEARNING AND NATURAL LANGUAGE PROCESSING

The proposed system uses Natural Language Processing (NLP) and Deep Learning (DL) techniques to extract voice data and translate it to text during medical consultations. Iterative model was adopted in the design of the system and the user interfaces was implemented by using NLP techniques, especially speech recognition and natural language understanding. Deep learning algorithm shows a great ability to build clinical decision support systems by extracting various information for medical diagnosis and produce result is few seconds. The result form the system testing shows that the installation size of the Progressive Web App (104 KB) is 42 times smaller than the native Android app (4.37 MB). In terms of render-speeds, the PWA rendered different results. The native app will launch the Android activity after 1408 ms after app icon tap (launch), while the progressive web app launches the application in 230 ms. The advent of cross-platform application development frame-works have made it much easier to create applications for multiple platforms for mobile devices. In spite of reduced learning effort, usually lower costs, and a faster time-to-market cross-platform methods always do not prevail in most cases. Although there are normal exclusions – like graphic-intensive games, which should to be programmed with the native software development kits (SDKS), choice between native apps, cross-platform generated ones, and Web apps can remain delicate. Whereas many diverse efforts have been made with respect to how cross-platform development frameworks ought to work, no technology is deemed unequivocally superior than the others. But a cross-platform mobile app has got an edge over native app development. It also recommends that developers adopt this technology of mobile app development due to its huge gains.

A Real-Time Notification System for Traffic Congestion on South African National Routes

Transportation is an integral part of our daily life, and now with an ever increasing number of cars on the roads, traffic congestion is inevitable. Traffic congestion has a huge impact on service delivery and, in turn, on the economy of the country. Social network has revolutionized our lives, and commuters are now able to vent their frustrations and post live updates regarding these congestions. Social networks have enabled humans to become active live sensors participating in the network communication paradigm. This paper leverages Naïve Bayes classifier of Artificial Intelligence (AI) for data classification, .NET MAUI framework for application development, Social Network Scraping tool for collecting traffic congestion data from Twitter, and Sklearn library of Python to prepare, clean, and make meaning out of the Twitter data. The outcome of the notification system will assist commuters to plan their trips efficiently using alternative roads as suggested by the real-time traffic congestion notification system developed.

Aplikasi Terintegrasi Registrasi Torche Education Menggunakan Framework Django

The growth of frameworks for web application development is very rapid, especially on the back side (server) of web development or what is commonly called the backend. Several programming languages ​​offer frameworks that have their own advantages, such as the Python programming language which offers a web application development framework, namely Django. It is equipped with the fast development, fast processing, and scalability. The data collection process was carried out by researching several related sources regarding the modules in the Django framework. The research process was carried out by finding sources of information about the Django framework to support the design of the Torche Education class registration application. Sources of information are collected to become a reference for application development. The Torche Education class registration application was built during the internship process at the company as it is concerned with developing the application according to predetermined working hours. It started by conducting research on the modules in the Django framework for developing registration applications and then followed by implementing the framework and integrating the application into several platforms such as Google Drive, Discord, and Gmail. Based on the application development above, the backend framework technology has been implemented in Python programming, namely Django. The results and benefits of the research can be useful for facilitating related parties in the process of recruiting students for class registration and making it easier for users to get fast information.