Application Development Platform Research Articles

BlastAsia – its quest for innovation in enterprise software application development

ABSTRACT The case sheds light on the rapid evolution in the no-code application development space. It presents opportunities for entrepreneurs looking to support customers with their digital transformation journeys. The protagonist of the case, Arup Maity, is the founder of a traditional software development company, BlastAsia. He is contemplating launching a no-code application development platform, given evolving market preferences and customer expectations. The case outlines the emergence of no-code application development platforms as a potent alternative to traditional software development techniques. It highlights exactly how business uncertainty coupled with rapidly evolving technology requirements demands shorter software development lifecycles, which traditional methods might not be able to cater to. It also explores evolving customer and employee expectations to engage in applications which are intuitive, work across devices seamlessly, and deliver real-time project status and data. The case also discusses budgetary considerations, which companies looking to deploy enterprise software have to grapple with. The landscape is further complicated by cutthroat competition in the industry, start-ups offering enhanced value propositions at competitive prices, and black-swan events like the COVID-19 pandemic, which pose existential challenges for organizations.

Sistem Operasi Integrasi Teknologi Augmented Reality dan Virtual Reality dalam Aplikasi Moblo dan Relax untuk Android

This research examines the Android operating system in the context of Augmented Reality (AR) and Virtual Reality (VR) applications with a focus on the Moblo (AR) and Relax (VR) applications. Android, as the primary operating system in mobile devices, offers a powerful and flexible platform for AR and VR application development. Moblo is an AR application that allows users to design and visualize furniture in a real space, while Relax is a VR application that provides meditation and relaxation experiences in a virtual environment. This research aims to understand how the Android operating system supports the development and operationalization of AR and VR applications, as well as evaluating the performance and user experience of these two applications. The results show that Android provides significant support for AR and VR application development, with Moblo and Relax showing good performance and providing a satisfactory user experience. However, further optimization is needed to ensure consistent performance across Android devices.

Macros in Excel

Excel itself has very powerful functions: including printing documents, file processing, formatting and text editing; Exl has a large number of built-in functions, its operation interface is very familiar to the public, and can connect to a variety of databases. Therefore, it has become a widely used application development platform. For a task that needs to be repeated frequently in Excel, you can record all the steps of executing these tasks in the macro and turn the macro into an automatically executable task. In this way, it is unnecessary to repeat the operation, save a lot of manpower and improve the work efficiency. Today, I will study the relevant knowledge of Excel macros with you.

A Comparative Study Of MVC Architecture Model Of Open Source Server Side Scripting Language Jsp And Php For Client-Server Architecture Based Applications Development

The Model-View-Controller (MVC) architecture pattern has become a popular way to structure web applications, separating the data, presentation, and application logic into modular components. This review paper provides a comparative analysis of implementing MVC architecture using two major open-source server-side scripting languages - JavaServer Pages (JSP) and PHP. Over 10,000 open source projects utilizing JSP/Java and PHP are analyzed to compare how the languages lend themselves to the MVC pattern. The challenges and advantages of both platforms for real-world development of thin-client applications are assessed. Quantitative metrics on performance, scalability, code reuse and integration with MVC frameworks like Spring and Laravel are provided. The findings indicate strengths and weaknesses unique to both languages, with outcome being that PHP+Laravel offers faster initial development time, while JSP+Spring provides more enterprise-grade scalability. The insights can guide developers to make an informed choice between the two platforms for MVC-based, client-server application development.

Research on Management and Optimization of Big Data Computing Engine Based on Cloud Native Technology IT Architecture

In the wave of digital transformation, we are in a data-driven era. With the explosive growth of data volume, traditional big data processing platforms are facing more and more challenges, including insufficient computational efficiency and resource utilization. At the same time, cloud native technology has emerged as a key factor in filling this gap due to its flexibility, automated management, and cross platform compatibility. Although cloud native technology has broad prospects, its application in the field of big data is still in its early stages, and there are still many problems that need to be solved. Among them, the unity of cluster management, the collaboration between operation and development, and the efficiency of technology architecture transformation are the main challenges currently faced. To address these issues, we will conduct in-depth research around cloud native technology, big data computing engine technology, and containerized services, exploring and implementing a big data computing engine management and optimization solution based on cloud native technology. By proposing and implementing cloud native deployment methods, containerized construction methods, and a one-stop big data application management and development platform, the aim is to provide new ideas and methods for solving many problems in traditional big data computing engine management, and to contribute to the development and innovation of the big data field.

QUALITATIVE ASSESSMENT OF DIGITAL ECONOMY IMPLEMENTATION FOR ECONOMIC RECOVERY DURING THE COVID-19 PANDEMIC IN YOGYAKARTA, INDONESIA

The digital economy in Yogyakarta, Indonesia assumed a pivotal part in keeping society working during the Coronavirus 2019 (COVID-19) pandemic by empowering remote working, mechanizing measures, and encouraging contactless exchanges. The expanded utilization of digital technologies likewise carried society closer to building up a digital economy. The digital platforms used during COVID-19 can drive recovery and solidify future services. This study analyzes how Yogyakarta’s Micro, Small, and Medium Enterprises (MSMEs) sector faced difficult situations for the economy during the pandemic and how the government implemented the digital economy for MSMEs to recover the economy. This qualitative study uses in-depth online interviews for primary data and supporting books, journals, documents, and regulations to characterize the background. The research findings of this study report on the implementation of a digital economy to improve the economic situation. Specifically, the Yogyakarta government targeted bolstering MSMEs, focusing on online platform application development. Second, MSME owners and customers alike benefit from the platforms. Online, MSME owners can quickly sell their goods and customers may choose and buy goods. Third, Information and Communications Technology (ICT) users for MSMEs increased compared to the previous year and encompassed 70 percent of the total MSMEs. The research contribution can help to solve the problems faced by government, business and society by decreasing economic risk.

Moving from Cloud to Fog/Edge: The Smart Agriculture Experience

Integrating cloud with fog/edge is a main trend in networking. Many cloud computing applications have been shifted to the edge/fog domain. Such paradigm shift offers new opportunities for pervasive computing. An example is AgriTalk, an Internet of Things (IoT) application development platform for smart agriculture. By integrating cloud with edge/fog, this article describes how AgriTalk addresses six issues for developing edge/fog agriculture applications. These issues include device domain development, application generation and bug detection, sensor failure detection and calibration, big data management, Artificial Intelligence (AI) provisioning, and data privacy. We show how AgriTalk integrates fog/edge applications and use rice blast detection and piglet crushing mitigation as two examples to demonstrate that fog/edge computing is a better solution than cloud computing. Compared with cloud computing, fog/edge computing reduces the delays by 50% in AgriTalk. Through the low-code no-code approach, AgriTalk allows the farmers to create and maintain fog/edge agriculture applications by themselves.

An Air-Ground Coordinated Sensing, Relay and Offloading for Emergency Disposal in ITS System

Nowadays, the Unmanned Aerial Vehicle (UAV) has emerged as a powerful platform for diversified application development. In traffic areas specifically for the much-anticipated Intelligent Transportation System (ITS), UAVs can coordinate with the ground internet of things infrastructure, such as the Road Side Unit (RSU), to perform 3D data collection and processing, improving traffic safety and transportation efficiency. In ITS, decision-making is crucial and relies heavily on proper and timely processing and transmission of the massive amounts of data generated by ubiquitous sensors, especially in emergency disposal scenarios. In this paper, the latency incurred from RSU-aided data offloading and UAV-aided data relay plays a decisive role, characterized by both the average and risk performance metric, Conditional Value at Risk (CVaR), for quantifying the risk incurred from the latency violation over a certain threshold in probability. Specifically, the peak Age of Information (AoI) with its distribution is adopted to underlying the CVaR analysis in relay latency. Besides, the matching algorithm to coordinate the mutual transmission between UAVs and RSUs is proposed, achieving low computation complexity and minimum risk for both sides. The system performance is validated through analysis, simulation, and field experiments.

Block Chain based Contribute Sequence Tracking System for Secure Data Ascription Management

Block chain technique is developed from a distributed, dependable application development platform to an irreversible record of crypto currency transaction history. Block chain technology's emergence has sparked a number of possible changes in how corporate operations are managed across numerous industries. However, to the best of research experience, no prior effort has concentrated on integrating block chain to establish a secure and unchangeable data and evidence attribution maintenance architecture that autonomously checks the origination records. Therefore, the research work proficiently introduces the novel Block Chain based Contribute Sequence Tracking (BCCST) system with amalgamation of Trail based Smart Indenture (TSI) and Release Attribution Model (RAM). The study begins by outlining a practical application of the proposed TSI for the disintermediation of commercial activities utilising a notional, shared information ledger. This ledger not only makes monitoring data exchange easier, but it also encourages supply chain participants to cooperate together on a multilateral network. The novel RAM to create immutable data trails that make it easier to gather, maintain, and verify reliable data provenance.

Analysis of Cross Platform Application Development Over Multiple Devices using Flutter & Dart

With the looming of new mobile applications, the organizations, and industries of all types whether it is IT Consultancy, Human Resources, Logistics and Supply Chain Management etc. or to be more specific any industry or organization that is thriving for their development in their sectors are relying on application development now a days. Through which app development industry is quickly advancing day by day. Embracing of various Operating Systems like Android, iOS, Symbian OS etc. in mobile development industry only Android OS is most loved and used by the people now a days and this Android OS is gaining popularity in upcoming generations also. Secondly talking about iOS by Apple it is also gaining popularity but not up to that extant as Android OS has gained and stabilizes itself in the industry. Although the iOS is very famous for its security reasons. Symbian OS now is a desisted OS or in simple terms extinct from the industry was owned by NOKIA used up C++ as the programming language to provide a simple yet implicit User Interface to their user for a seamless experience in mobile applications. This thesis/Research paper aims to present the benefits of using Cross Platform Application Development using Flutter as while Java or Kotlin is basically used in Application Development but the only drawback of it was that for individual Operating System we have to code individually and for another Operating System we have to code individually. So, to overcome this obstacle we are using Dart Programming Language using Flutter as a Platform upon the Android Studio or the Visual Studio Code for Developing our App.

APPLICATION OF LOAD TESTING TECHNIQUES FOR СUSTOMER’S STAFF TRAINING PROCESSES SIMULATION

The article deals with modelling of company’s training processes for сustomer’s staff on projects of information systems implementation on 1C:Enterprise application development platform. Simulation was performed using technologies and approaches previously used in 1C community for load testing of application solutions. It has been pointed out in particular that the system of involving contractors in project work leads to competition for resources (i.e. for staff). Checking the compatibility of project schedules and resource plans could reveal conflicts in advance. It can be made by modelling the behavior of project participants as elements of a queuing system. The concept of the application model is described here as a whole and the problem setting process for the experimental procedure. The locking mechanism is described. The article comes up here with conditions used to separate application model events from host system events. The application model itself and the processes to be modelled are also described, the expected behavior of the model is outlined with required restrictions and assumptions made. It is shown here that the runtime model provided information on queues and downtime, as well as on under- and overloaded resources. It is recorded that the behavior of the queues was as expected and the study of the behavior of downtime within the model structure has allowed to separate the occurrence conditions for queues from those for downtime. It is concluded that load testing techniques allow correctly modelling procedure for arbitrary processes with competition for resources already at the work planning stage. It is emphasized here that the source or input information for the model can serve the detailed documentation prepared by project managers.

Design and Implementation of an Android GIS Data Collection Application for Students with Non-Programming Experience Using the MIT App Inventor: A Case Study on a Tick Data Collection APP

Learning programming can be a daunting task, especially for students without a programming background or non-computer science students. Most Geographic Information Science (GIS) experts and students come from a non-programming background and the development of applications has mostly been perceived to be a field for computer science students and has mostly been shunned by other non-programming students and courses. Compounded by the availability of Open-Source Data collection tools like the Open Data Kit (ODK), learning programming and android application development is often overlooked by Geo Spatial Scientists. Many studies have been done to identify a suitable application development kit to introduce application development to students in non-programming classes. MIT App inventor is a user-friendly drag-and-drop application development platform that is ideal for introducing application development to students with a non-programming background. In this paper, students doing an undergraduate honors degree in spatial sciences were introduced to the MIT App inventor for the development of a Geo-App capable of collecting spatial data that can be exported into a GIS system like Arc GIS, and QGIS after the data has been collected. The paper investigates the suitability of MIT App Inventor in the development of Geo-Spatial Applications. The application was developed for collaborative mapping of tick species for Mashonaland Central Province in Zimbabwe. The main purpose of the application developed is to act as a tool for veterinary extension workers under the Veterinary Services Department of Mashonaland Central Province allowing them to collect location information for tick monitoring. The application helps expansion workers to moreover outwardly communicate the circumstance at the tick controlling focuses such as plunge tanks by collaboratively making an outline and uploading multimedia records subsequently with an alternative of making calls straight to the veterinary call center in near real-time.

Research on the reform of integrated talent cultivation of middle and high school undergraduate in the context of 1+X certificate

With the deepening of industrial transformation and upgrading and reform of vocational education, the demand of society for high-level vocational technicians has increased. Combining with the “20 articles of vocational education” and “1+X” certificate system pilot project, based on the existing system of secondary and higher vocational education in our college, we jointly carry out the reform of “integration of courses and certificates” with Guangdong University Of Science & Technology. According to the characteristics of the school’s majors, the vocational skill level certificate of “intelligent computing platform application development” was selected as a pilot reform, and the X certificate was fully utilized as the basic measure and standard for practitioners to measure their competence, so as to build an integrated talent training system of middle and high school, and to realize the organic connection between the curriculum systems of middle school, high school and undergraduate levels. This will help cultivate more excellent technical skills talents for the Guangdong-Hong Kong-Macao Greater Bay Area and is expected to provide a reference for building a perfect vocational education system.

Low Code/No Code Application Development - Opportunity and Challenges for Enterprises

Low-code and no-code (LCNC) application development platforms signify a major shift in software creation and deployment strategies. This paper investigates the opportunities and challenges presented by LCNC platforms for enterprises. Historically, organizations have had to choose between developing custom solutions internally or purchasing off-the-shelf systems, each with its own set of advantages and drawbacks. LCNC platforms introduce a novel approach by facilitating rapid, cost-effective, and user-friendly application development with minimal coding expertise. This study explores the features of LCNC platforms, their adoption by hyperscalers, and their implications for traditional software engineering roles. It also examines the benefits and limitations of popular LCNC solutions, such as Microsoft Power Platform, and discusses their impact on industry practices. This paper concludes with a forward-looking perspective on the development of LCNC technology, underscoring its role in driving digital transformation and fostering innovation.

Analysis Of Stock Return Rate in Metaverse Industry Based on Event Study Method-- Take 1,288 Sample Data as An Example

With the rapid development of underlying technologies, interactive devices and related application development platforms, the metaverse has gradually shown great development potential [1]. In order to study the influence of the emergence of metaverse concept stocks on the entire industry market and related enterprises, this paper uses the event study method and Eviews software to analyze the stock returns of relevant sample enterprises in each link of the Metaverse industry chain, and draws the following conclusions: (1) No matter which links in the metav erse industry chain, the establishment of the metaverse concept stock reflects the performance of the stock price to a certain extent.; (2) Related enterprises in the development platforms and content and applications link have a significant response to the event day; (3) In the short term, the excess rate of return of relevant enterprises fluctuates greatly and generally shows a trend of decreasing first and then rising.

ПЕРЕВАГИ ТА ПРІОРИТЕТИ ПОДАЛЬШОГО РОЗВИТКУ НАЦІОНАЛЬНОЇ ЦИФРОВОЇ ЕКОНОМІКИ

The article provides an analytical assessment of the level of development of Ukraine's digital economy in the global context. The key priorities of digitalization processes taking place in leading national economies are analyzed. The set of advantages of the digital economy over the traditional format of organizing and conducting economic relations is determined. The scope and value of the world's digital economy and the key tools used in the modern practice of developing digital transformations have been studied. The main problematic aspects that restrain the development of digital processes in the national economy at the current stage are summarized. It was determined that further digitalization is an important tool for achieving the strategic goals of the development of the national economy and regional management. Based on the systematization of leading global experience and taking into account national realities, the strategic priority directions and key drivers of the development of the digital economy for the future are substantiated, namely: the continuation of the formation of digital infrastructure (support and service), increasing the level of digital literacy of the population and the use of digital financial technologies that are capable to form an investment basis for achieving all the goals of the development of the national economy, in particular, in its digital sphere. It has been established that key tools of digital transformations should be drivers, among which quantum information, integrated circuits and blockchain, 5G and 6G technologies, creation and provision of a mechanism for institutional support of digital platforms for business, development and use of innovative applications occupy an important place Web 3, digital literacy of the population, cyber protection. The systematization of the conditions and formats of the use of digital tools by world leaders of digitization processes, based on which the most priority directions for national practice are determined. Practical significance of research results includes substantiating the strategic advantages of further digitization of the national economy and a set of its most progressive tools.

Admittance Matrix Validation for Power Distribution System Models Using a Networked Equipment Model Framework

The evolving nature of electric power distribution systems is motivating the development of advanced applications for utility planning, operation, management, and control. These model-based applications interact with multiple subsystems within software platforms referred to as advanced distribution management systems. Recently, the Common Information Model has been used to enable data model standardization across several entities. Model fidelity is the key to the development of leading-edge, scalable model-based algorithms and assessment of emerging technologies such as distributed energy resources for grid planning and operation. However, distribution system models are error-prone and model validation is challenging due to: (1) the need for considerable time and effort to maintain the network models, (2) update delays due to the evolving nature of the real-world systems that models are derived from, and (3) inevitable human errors in the process which are difficult to detect. In this paper, we extend a model validation application from our prior work referred to as the Model Validator to derive and validate a system admittance matrix using the Common Information Model. First, we introduce different modules for computing device-level primitive admittance matrices from Common Information Model parameters. These individual primitive admittance matrices are then used to validate corresponding entries in a full system admittance matrix. In addition, we validate the overall system admittance matrix by checking for gaps in coverage or extra elements that are not expected. The proposed approach checks the validity of each piece of network model equipment separately and identifies inconsistencies between Common Information Model parameters and the system admittance matrix at the device level. Furthermore, where devices can be specified using different combinations of Common Information Model parameters, each parameter combination is validated separately. This breakdown can help distribution engineers more efficiently apply root cause analysis for inconsistencies. The Model Validator application is implemented on top of GridAPPS-D, an open-source standards-based platform for advanced distribution management system application development. The effectiveness of the proposed application is demonstrated on six different test cases: four IEEE feeders, the Electric Power Research Institute J1 circuit, and a taxonomy feeder.

Fingerprint Agreement Using Enhanced Kerberos Authentication Protocol on M-Health

Cloud computing becomes an important application development platform for processing user data with high security. Service providers are accustomed to providing storage centers outside the trusted location preferred by the data owner. Thus, ensuring the security and confidentiality of the data while processing in the centralized network is very difficult. The secured key transmission between the sender and the receiver in the network is a huge challenge in managing most of the sensitive data transmission among the cloud network. Intruders are very active over the network like real authenticated user to hack the personal sensitive data, such as bank balance, health data, personal data, and confidential documents over the cloud network. In this research, a secured key agreement between the sender and the receiver using Kerberos authentication protocol with fingerprint is proposed to ensure security in M-Healthcare. Conditions of patients are monitored using wireless sensor devices and are then transferred to the server. Kerberos protocol helps in avoiding unnecessary communication of authenticated data over the cloud network. Biometric security process is a procedure with the best security in most of the authentication field. Trust node is responsible in carrying data packets from the sender to the receiver in the cloud network. The Kerberos protocol is used in trust node to ensure security. Secured communication between the local health center and the healthcare server is ensured by using a fingerprint feature called minutiae form, which refers to the fingerprint image of both sender and receiver. The computational and communicational cost of the proposed system is lesser when compared with other existing authentication methods.

Inq, a Modern GPU-Accelerated Computational Framework for (Time-Dependent) Density Functional Theory.

We present inq, a new implementation of density functional theory (DFT) and time-dependent DFT (TDDFT) written from scratch to work on graphic processing units (GPUs). Besides GPU support, inq makes use of modern code design features and takes advantage of newly available hardware. By designing the code around algorithms, rather than against specific implementations and numerical libraries, we aim to provide a concise and modular code. The result is a fairly complete DFT/TDDFT implementation in roughly 12 000 lines of open-source C++ code representing a modular platform for community-driven application development on emerging high-performance computing architectures.

An implementation of Replication Oriented Architecture (ROA) for Web Service Scalability

Web services provide application to application integration across different platforms. However, the consumption of web services generates request traffic that must be attended to by an instance of the web server without fail. To guarantee dependability of the web service, the instances of the web service are replicated as a way of scaling the web service. The Replication Oriented Architecture (ROA) has been designed and implemented using the Java Enterprise application development platform and interesting results have been obtained. Improvements in the PHP scripting language have made it a popular programming language for web and enterprise application development. In this paper, an implementation of the ROA architecture using PHP is done. The implementation is simulated on the Apache Jmeter and results compared to the results obtained in the Java implementation. The results show that both application development platforms achieve web service scalability as a quality of service (QOS) expected of a web service. In specific terms, 50.9% at 95.0% confidence level improvement in response time was achieved when PHP is used which compares favorably with 22.5% improvement at 95.0% confidence level achieved on the Java platform.