Web Application Development Research Articles

Content Management System Development for Medical Web Applications

The world of the web and the internet today has become one of the centers for exchanging information between humans, one of which is shown by the development of web applications in the form of content management systems (CMS). By being based on JavaServer Pages (JSP), which has the advantages of being platform-independent, inexpensive and free, and easy to develop, it is possible to become an alternative solution to meet today's general medical needs, namely online and web-based, extensible and customizable. , robust and efficient, secure and authenticated, and easy to develop and maintain. there is a need that turns out to be equally owned and used by only a few medical institutions or there is even a need that is shared by all of them. These needs are developed and used as a standard so that web applications in the medical field are universal and can be used by any medical institution, anywhere, and anywhere. As a result, medical needs that can be implemented into a web application and can be universally applicable.

Provably throttling SQLI using an enciphering query and secure matching

Web applications, which dominate the internet, act as communication media between customers and service providers. Web applications are an internet innovation that provide customer services such as e-banking, e-commerce and e-booking. Developing web applications has become increasingly complicated because of security threats and service issues that involve valuable information. Attack methods such as structured query language (SQL) injection insert malicious code within user input data requests to gain unauthorised access, and then the attacker targets a database to manipulate information. In this paper, we propose a prevention method against SQL injection attacks through cryptography and searchable encryption. The proposed method uses a cryptography technique to encrypt all database information, where each piece of user information is encrypted with a separate key. The rest of the database information is ciphered with secret keys, and a searchable encryption technique is used for other database operations to preserve privacy. The login process compares the ciphered username from the database and user entry to authenticate the user. The proposed method is implemented on the PHP and MySQL databases, which are open-source applications. The results show efficient prevention of SQL injection, and the database remains protected against SQL injection attacks

An Interactive Visualization Web Application for Industrial-Focused Statistical Process Control Analysis

Statistical process control (SPC) implementation plays a major role in quality assurance during the manufacturing process. Nevertheless, the adoption rate of SPC commercial software solutions is unsatisfactory in most Malaysian manufacturing companies due to high software subscription costs and difficulties in applying the software without proper know-how, guidance, and training. This study proposes the development of a purpose-built interactive data visualization web application for rapid SPC analysis in the manufacturing industry using open-sourced software packages. An agile software development model is applied as the software development methodology. In the requirement phase, an interview session was conducted to identify project requirements among stakeholders, i.e. industrial practitioners that are involved with SPC analysis. Based on the feedback and expectations from stakeholders, a design of a web application for SPC analysis that incorporates interactive parameter settings and automated reporting was proposed. The web application was developed using the R programming language and the Shiny package library, and deployed at ShinyApps.io, a web service provider. For evaluation, a usability testing procedure was designed and conducted with five industrial SPC practitioners to determine the usefulness of the web application. The outcome of the usability testing indicated positive results and feedback from evaluators. In conclusion, the developed web-app can assist users, particularly from the manufacturing industry sectors, to perform fast SPC data analytics, visualization, and reporting with ease.

Development of Mobile Learning English Web Application

E-learning has become an important part of distance education to comprehend students' skills and knowledge during the COVID-19 pandemic. The adoption of e-learning for kindergarten children is a challenging key for design and development that must be involved in parental care during the use of e-learning. This research aims to design and evaluate a digital learning English system based on a web application for kindergarten students who require additional attention from instructors and parents. The study investigates students' learning achievement and end-user perceptions based on the extended technology acceptance model. The results contribute and confirm a significant positive to technology adoption of the digital teaching and learning framework by offering real-time learning, assessments, achievement records, and learning session activities using web applications on mobile. Perceived ease of use, perceived usefulness, and attitude positively influence behavioral intention to use the proposed learning web application.

Mobile Web Application Development in Administration Services in Nursing Department Laboratory

Many skills laboratories have been depending on various progress technology information for help and make it accessible in management administration in the skill laboratory, including using computers and software/ applications. Study this use type research and development. The development model in the build system uses SDLC (System Development Life Cycle) with the Waterfall model. This study is quasi-experimental research with one group pretest and posttest designs. Applications created containing loan tools and space laboratory, reporting inventory equipment laboratory, documentation activity practicum and system evaluation and reporting. The sample in a study consists of 40 selected respondents using a purposive sampling technique. Test convenience use application uses a questionnaire consisting of 12 questions with a choice very appropriate, appropriate, sufficient appropriate, no suitable, very no appropriate. Data analysis used paired sample t-test. This mobile website is named SiMAPiN based on nine items of need: user, item, category item, unit goods, officers, submissions loan, submission item, category application and borrowing. The analysis shows a change perception of convenience in using application loan tools and goods laboratory (p-value =<0.001). The average change perception is as much as 13.1 points (33.7 – 46.8). The effectiveness of the application of the results is -5.98, which is enormous (>2.0). We conclude that application loan tools and materials, as well as room, can make it easier for stakeholders and laboratories to do management laboratory. Moment conducted testing application, got results that occur enhancement perception to convenience use application. Future research could focus on integration applications this with procurement goods Required laboratory government.

A Low-Cost Web Application System for Monitoring Geometrical Impacts of Surface Subsidence

This paper develops a low-cost web application system for monitoring geometrical impacts of surface subsidence. In many of the developing countries, the method of extraction of minerals such as coal is often impractical and uneconomical, especially with surface mining. With global warming, rapid population growth, and fast-growing urbanization with a disregard for sustainability, the overall subsidence risk has significantly increased. Despite the maturity of Differential Interferometric Synthetic Aperture Radar (DInSAR) for timely monitoring of subsidence hazards, the potential of SAR constellations has been under-exploited, as most applications focus mainly on mapping unstable areas. The developed web application system exploits Sentinel-1 SAR constellation and Small-BAseline Subset (SBAS-DInSAR) technique, to provide new streamlines of information for monitoring solutions and improve disaster risk decision making. We illustrate the model by investigating and measuring potential surface subsidence caused by underground hard coal mining activities and exponential urban population growth within a major coalmine in Nigeria. Results of the yearly cumulative amount of horizontal and vertical deformation between 2016 and 2020 range from −25.487 mm to −50.945 mm and −24.532 mm to −57.161 mm, for high and low risks, respectively. Under the influence of external factors such as rising poverty and fast-growing urbanization, the destruction of in situ stress distributions will likely increase nonlinear deformations.

Research and Practice on Project based Teaching of Java Web Application Development Course based on Shipping Characteristics

To overcoming the separation problem between the major teaching and industrial development, the software technology specialty takes the systematization of the working process as the basic idea, carries out the project-based teaching reform, and realizes the transformation from the knowledge system to the ability system. In order to better reflect the shipping characteristics, the software technology specialty takes the shipping information project as a project-based teaching case. As a core course, the Java Web application development course takes the enterprise workbench module of ship water pollution supervision and service information system as a teaching case throughout the course. In the teaching process, the cultivation of knowledge, skills and accomplishments is carried out throughout the process of student project realization, so as to truly achieve learning by doing and learning by doing. The project teaching of Java Web application development course with shipping characteristics has improved the teaching quality of teachers and students' enthusiasm, and provided a new method and perspective for the teaching reform of software technology courses in higher vocational colleges.

DOOML: A New Database & Object-Oriented Modeling Language for Database-Driven Web Application Design and Development

A database driven web application is a very common software solution to rising business problems. Modeling the database and the software architecture can be challenging, hence there not being one combined modeling language for database and software architecture, specifically suited for web application development. In this paper we present Database object-oriented Modeling Language (DooML) and its primary Archetype Diagram: a notation for specifying the design of a database schema and corresponding object-oriented software architecture. It combines the syntax for drawing Entity Relationship Diagrams, the Relational Model and Universal Modeling Language Class Diagrams as well to create a mixed diagram, stating database design as well as software design specifications. By default, DooML ensures that the approach of advanced web application development is model-driven and both database-oriented as well as object-oriented.

Comparative analysis of reactive and imperative approach in Java web application development

The subject of this study was to compare web applications created using the imperative and reactive approaches in Java. For this purpose, two applications with the same functionalities were developed using both approaches. The study looked at the performance, stability and time-consumption of implementation of each application. Based on the obtained results, it was found that the reactive application processes queries faster, uses less CPU, and is more stable in the case of handling many simultaneous requests, where the processing time is greater than 10 seconds. No significant differences were observed in using the computer's RAM by the applications. In addition, the study showed that reactive application takes more time to create.

Atomistica.online – web application for generating input files for ORCA molecular modelling package made with the Anvil platform

ABSTRACT We present the atomistica.online, a web application for generating input files for the ORCA molecular modelling package. atomistica.online is entirely made with the Anvil platform, which allows the development of web applications using only Python programming language. ORCA is one of the most, if not the most, powerful molecular modelling tools covering a wide range of possibilities for atomistic calculations on molecules. Speed, ease of installation and use, and clear and intuitive syntax for input files are some of ORCA's characteristics that make it one of the most cited modelling tools in the last several years. Nevertheless, although tools for generating input files for ORCA exist, they are not available as online applications. In this work, we demonstrate how the combination of Python programming language and the Anvil platform makes the development of scientific web applications available to all scientists. All tools within atomistica.online are freely available at the project's official website – https://atomistica.online

Understanding Transit System Performance Using AVL-APC Data: An Analytics Platform with Case Studies for the Pittsburgh Region

This paper introduces a novel transit data analytics platform for public transit planning, assessing service quality and revealing service problems in high spatiotemporal resolution for public transit systems based on Automatic Passenger Counting (APC) and Automatic Vehicle Location (AVL) technologies. The platform offers a systematic way for users and decision makers to understand system performance from many aspects of service quality, including passenger waiting time, stop-skipping frequency, bus bunching level, bus travel time, on-time performance, and bus fullness. The AVL-APC data from September 2012 to March 2016 were archived in a database to support the development of a user-friendly web application that allows both users and managers to interactively query bus performance metrics for any bus routes, stops, or trips for any time period. This paper demonstrates a case study using the platform to examine bus bunching in a transit system operated by the Port Authority of Allegheny County (PAAC) in Pittsburgh. It is found that the incidence of bus bunching is heavily impacted by the location on the route as well as the time of day, and the bunching problem is more severe for bus routes operating in mixed traffic than for bus rapid transit, which operates along a dedicated busway. Furthermore, a second case study is presented with a comprehensive analysis on a representative route in Pittsburgh under schedule changes. Suggestions for operation of this route to improve service quality are proposed based on the data analytics results.

A study on application programming interface recommendation: state-of-the-art techniques, challenges and future directions

PurposeThis study aims to identify the developer’s objectives, current state-of-the-art techniques, challenges and performance evaluation metrics, and presents outlines of a knowledge-based application programming interfaces (API) recommendation system for the developers. Moreover, the current study intends to classify current state-of-the-art techniques supporting automated API recommendations.Design/methodology/approachIn this study, the authors have performed a systematic literature review of studies, which have been published between the years 2004–2021 to achieve the targeted research objective. Subsequently, the authors performed the analysis of 35 primary studies.FindingsThe outcomes of this study are: (1) devising a thematic taxonomy based on the identified developers’ challenges, where mashup-oriented APIs and time-consuming process are frequently encountered challenges by the developers; (2) categorizing current state-of-the-art API recommendation techniques (i.e. clustering techniques, data preprocessing techniques, similarity measurements techniques and ranking techniques); (3) designing a taxonomy based on the identified objectives, where accuracy is the most targeted objective in API recommendation context; (4) identifying a list of evaluation metrics employed to assess the performance of the proposed techniques; (5) performing a SWOT analysis on the selected studies; (6) based on the developer’s challenges, objectives and SWOT analysis, presenting outlines of a recommendation system for the developers and (7) delineating several future research dimensions in API recommendations context.Research limitations/implicationsThis study provides complete guidance to the new researcher in the context of API recommendations. Also, the researcher can target these objectives (accuracy, response time, method recommendation, compatibility, user requirement-based API, automatic service recommendation and API location) in the future. Moreover, the developers can overcome the identified challenges (including mashup-oriented API, Time-consuming process, learn how to use the API, integrated problem, API method usage location and limited usage of code) in the future by proposing a framework or recommendation system. Furthermore, the classification of current state-of-the-art API recommendation techniques also helps the researchers who wish to work in the future in the context of API recommendation.Practical implicationsThis study not only facilitates the researcher but also facilitates the practitioners in several ways. The current study guides the developer in minimizing the development time in terms of selecting relevant APIs rather than following traditional manual selection. Moreover, this study facilitates integrating APIs in a project. Thus, the recommendation system saves the time for developers, and increases their productivity.Originality/valueAPI recommendation remains an active area of research in web and mobile-based applications development. The authors believe that this study acts as a useful tool for the interested researchers and practitioners as it will contribute to the body of knowledge in API recommendations context.

Design of software-oriented technician for vehicle’s fault system prediction using AdaBoost and random forest classifiers

Detecting and isolating faults on heavy duty vehicles is very important because it helps maintain high vehicle performance, low emissions, fuel economy, high vehicle safety and ensures repair and service efficiency. These factors are important because they help reduce the overall life cycle cost of a vehicle. The aim of this paper is to deliver a Web application model which aids the professional technician or vehicle user with basic automobile knowledge to access the working condition of the vehicles and detect the fault subsystem in the vehicles. The scope of this system is to visualize the data acquired from vehicle, diagnosis the fault component using trained fault model obtained from improvised Machine Learning (ML) classifiers and generate a report. The visualization page is built with plotly python package and prepared with selected parameter from On-board Diagnosis (OBD) tool data. The Histogram data is pre-processed with techniques such as null value Imputation techniques, Standardization and Balancing methods in order to increase the quality of training and it is trained with Classifiers. Finally, Classifier is tested and the Performance Metrics such as Accuracy, Precision, Re-call and F1 measure which are calculated from the Confusion Matrix. The proposed methodology for fault model prediction uses supervised algorithms such as Random Forest (RF), Ensemble Algorithm like AdaBoost Algorithm which offer reasonable Accuracy and Recall. The Python package joblib is used to save the model weights and reduce the computational time. Google Colabs is used as the python environment as it offers versatile features and PyCharm is utilised for the development of Web application. Hence, the Web application, outcome of this proposed work can, not only serve as the perfect companion to minimize the cost of time and money involved in unnecessary checks done for fault system detection but also aids to quickly detect and isolate the faulty system to avoid the propagation of errors that can lead to more dangerous cases.

Design and Implementation of Web Application Based on MVC Laravel Architecture

Developing web applications with traditional methods causes large limitations such as a lot of time consuming, number of unexpected errors. A novel approach technology of MVC framework is built by some companies to deal with such issues. This paper presents a design and implementation for web application with Laravel framework. This research makes us find out that the development was standardized and much scalability, so it gives us more efficiency through the implementations.

Development of Digital Swiss Gold Glided Sell Web Application

Development of Digital Swiss Gold Glided Sell Web Application

Development of a sociometric web application to study the relationship among secondary school learners

This research aimed to develop a sociometric web application to study the relationship among Thai secondary school learners. The first phase studied conditions and needs for a sociometric web application by interviewing 8 teachers (100% females) who have teaching experiences between 3-38 years (Mean = 16.63, SD = 11.58). The second phase developed a sociometric web application which was reviewed by 5 experts and received the overall highest level of appropriateness. Then, the application was piloted with 34 teachers and learners. Overall, the sociometric web application and user manual are suitable for use. The third phase studied results for the sociometric web application usage. Samples included teachers and secondary school learners. The experiment was conducted in a large group of 6 teachers (100% females) having teaching experiences between 4-22 years (Mean = 8.67, SD = 7.03) and students in 5 classrooms, totaling 204 participants (88.73% of response rate, 60.2% females, 39.8% males, age range = 10–23 years old, Mean = 15.72, SD = 1.67) selected via a purposive sampling method. The research tools were the observation form, interview forms, and opinion questionnaire regarding sociometric web application usage. Data were analyzed by qualitative data and descriptive statistics, including frequency distributions, percentages, means, standard deviations, t-test, crosstabs, and chi-square. The teachers' and learners' opinions on web application usage showed an overall highest level of suitability. Furthermore, results concerning the consistency of the sociometric status analysis and the teachers' opinions showed overall average consistency at 87.21%. Finally, the students' sociometric status was divided into five student groups: (1) average (34.3%); (2) popular (24%); (3) neglected (19.1 %); (4) rejected (15.7 %); and (5) controversial (6.9%). Students’ gender and academic performance were related to the sociometric status with a .05 level statistical significance (χ2 = 17.742, sig = .001, χ2 = 23.831, sig = .002), respectively. This signifies that students of different genders and academic performances had different sociometric statuses.

Application of Deep Learning Based on Garbage Image Classification

In recent years, with the rapid development of economy, the country's various construction is thriving, and remarkable achievements. At the same time, resources and the environment have been seriously damaged. This phenomenon is directly related to the irrationality of garbage classification and delivery, and the contradiction between the two is becoming increasingly acute as people strongly reflect the problem of environmental pollution but do nothing about it. This paper designs a garbage image classification system based on deep learning, the main research content is to compare multiple deep learning neural network models, find the optimal classifier, develop web applications and deploy neural networks, which includes image data acquisition, image pre-processing, and comparison of VGG16, Inception, and Resnet neural network model accuracy.

Web GIS Development for National COVID-19 Immunization Programme

Sustainable coordination and certainty of delivery are essential to achieving holistic COVID-19 vaccination, which covers the whole country. On November 4th 2020, the National Security Council (NSC) has structured the COVID-19 Risk Area Geo-Data Working Group, which consists of the Ministry of Health Malaysia (MOH), Malaysian Administrative Modernisation and Management Planning Unit (MAMPU), Department of Survey and Mapping Malaysia (JUPEM), Department of Statistics Malaysia (DOSM), PLAN Malaysia and Malaysian Space Agency (MYSA). As of February 2021, Malaysia has access to 66.7 million doses of COVID-19 vaccines supplied through the COVAX Facility and initial purchases from 5 vaccine manufacturers. Vaccination for COVID-19 is voluntary and will be provided free of charge to all Malaysian citizens and non-citizens in three phases. JUPEM through the Defence Geospatial Division (BGSP) has been entrusted to develop a Web GIS application, after a string of successes in developing Joint Common Operation Picture (JCOP) in the early stages of transmission of COVID-19. BGSP has developed Web Applications and Dashboards to provide an overview that can help in the planning, implementation and operation of vaccination centres for the National COVID-19 Immunization Programme (PICK) in Malaysia.

Economic impact of a machine learning-based strategy for preparation of blood products in brain tumor surgery.

Globally, blood donation has been disturbed due to the pandemic. Consequently, the optimization of preoperative blood preparation should be a point of concern. Machine learning (ML) is one of the modern approaches that have been applied by physicians to help decision-making. The main objective of this study was to identify the cost differences of the ML-based strategy compared with other strategies in preoperative blood products preparation. A secondary objective was to compare the effectiveness indexes of blood products preparation among strategies. The study utilized a retrospective cohort design conducted on brain tumor patients who had undergone surgery between January 2014 and December 2021. Overall data were divided into two cohorts. The first cohort was used for the development and deployment of the ML-based web application, while validation, comparison of the effectiveness indexes, and economic evaluation were performed using the second cohort. Therefore, the effectiveness indexes of blood preparation and cost difference were compared among the ML-based strategy, clinical trial-based strategy, and routine-based strategy. Over a 2-year period, the crossmatch to transfusion (C/T) ratio, transfusion probability (Tp), and transfusion index (Ti) of the ML-based strategy were 1.10, 57.0%, and 1.62, respectively, while the routine-based strategy had a C/T ratio of 4.67%, Tp of 27.9%%, and Ti of 0.79. The overall costs of blood products preparation among the ML-based strategy, clinical trial-based strategy, and routine-based strategy were 30, 061.56$, 57,313.92$, and 136,292.94$, respectively. From the cost difference between the ML-based strategy and routine-based strategy, we observed cost savings of 92,519.97$ (67.88%) for the 2-year period. The ML-based strategy is one of the most effective strategies to balance the unnecessary workloads at blood banks and reduce the cost of unnecessary blood products preparation from low C/T ratio as well as high Tp and Ti. Further studies should be performed to confirm the generalizability and applicability of the ML-based strategy.

TYPICAL FEATURES OF THE ARCHITECTURE OF ONE-PAGE CROSSPLATFORM WEB APPLICATIONS

The work is devoted to the study of the development of one-page web applications, architectural elements, popular design templates, tools, programming languages and frameworks. During the work, the existing one-page web applications were reviewed, and one of the Reakt libraries, which is currently very effective and popular, was studied in detail. To control the state of the data and the state of the interface in javascript applications, the Redux tool is used, it is suitable for single-page applications. The disadvantages and advantages of the concept of one-page web applications in comparison with the traditional website and the native application are analyzed. Developed recommendations for creating applications.