Backend Framework Research Articles

SecureLaw Portal: Empowering Citizens with Transparent Legal Records via Blockchain and Cloud eVault

In the digital age, where data integrity is essential, the management of legal data requires innovative solutions. SecureLaw is a new project that combines the immutable power of blockchain, the flexibility of Cloud. The agility of the Cloud, Express.js, React.js, Node .js suite. This integration forms the backbone of the transformation of data protection laws, providing unparalleled security, transparency and easy access. Highlights of this project: SecureLaw is instrumental in redefining information law in India. Traditional systems often face security breaches and lack of transparency, undermining the integrity of the legal process. SecureLaw solves these problems by integrating blockchain technology, which provides immutable data that ensures legal documents are not tampered with and ensure their authenticity. The introduction of smart contracts automates the process, controls permissions and makes data immutable, thus increasing efficiency and reducing errors. Leveraging Cloud services such as S3 for storage, API gateways for seamless communications, Lambda for serverless computing, and DynamoDB for scalable databases provides a powerful, scalable, and cost-effective infrastructure. Scalability is important to accommodate legal system growth, and Cloud’s Dynamic Services provide a solution. The AERN group (AWS, Express.js, React.js, Node.js) strengthens the foundation of the project. Express.js is a simple and easy backend framework that seamlessly integrates for efficient data processing and processing. React.js is a front-end library with many features that make it user responsive and intuitive. Node.js is known for its performance that enables dynamic recovery and makes data fast and recoverable. SecureLaw's user centric approach includes managing access to personal and legal personal details. Personal auditors, regional directors, directors (DGs), judges, etc. It deals with many user roles, personal control panels, and access rights. This change promotes cooperation, transparency and communication in the legal system. Features of a self-explanatory legal system encourage people to understand the legal process, fostering transparency, trust, and collaborative knowledge. Keywords: Blockchain, Application Programming Interface (API), Cloud , Express.js, React.js, Node.js

Clip Outliner

Abstract: In the contemporary landscape, a substantial volume of video recordings floods the digital realm daily. However, sifting through these extensive recordings has become a challenging endeavor, especially when faced with time constraints. Extracting pertinent information from lengthy videos has proven arduous, often resulting in futile efforts. Clip Outliner strives to offer increased flexibility in downloading transcript summary files while streamlining the automation processes for WhatsApp and email functionalities. To mitigate this issue, the project implements an automated system for summarizing transcripts, enabling swift identification of critical patterns within the video content. By leveraging Python APIs for text transcription and subsequently employing natural language processing (NLP) techniques, the transcripts are succinctly summarized. User Interface is developed using a blend of HTML, CSS, JS, and Bootstrap, with Flask serving as the backend framework in Python. Users can conveniently download the summarized transcripts in formats like PDF and Word, facilitating easy sharing via email and WhatsApp.

IPR-VINS: Real-time monocular visual-inertial SLAM with implicit plane optimization

SLAM typically involves updating numerous landmarks to reconstruct scenes rather than generating a topological depiction of the actual environment. Planar features, prevalent in structured environments, can contribute to the development of more nuanced yet less cumbersome maps. The incorporation of fusions between feature points and planar facets gives rise to new discrepancies that must be meticulously addressed. To prevent the uncontrolled expansion of planar boundaries, a robust technique for boundary extraction is offered. Scene planes are fused using the boundary function, ensuring stable feature extraction and planar association. To leverage limited computational resources effectively, a streamlined back-end framework is constructed. Finally, factors are fine-tuned at a consistent scale, which not only elevates locational accuracy but also diminishes computational complexity. To reduce systematic errors, plane prior information is assimilated into global optimization. Compared with VINS-Mono, the average Absolute Trajectory Error of the proposed method on EuRoC is reduced by 44%.

Evolution of Web Development Frameworks

Abstract: Webapps have now become an important part of our industry. Be it small or big business house,they all depend upon webapps to attract more audience The field of web development has very rich history and it is ever evolving. The internet’s everchanging nature and users’ and developers’ evolving needshave led to a dramatic shift in the ever-changing and dynamic world of web development in the last few decades. This review paper presents an in-depth analysis of theevolutionary journey of web development frameworks, fromthe early days of static web pages to the complex, feature-rich web applications of today. An eye–catching and aproper design can only attract the users which can only bedone using a good design framework. Libraries and classesthat offer a broad range of features called frameworks —frameworks layout a foundation of great architecture which is further used to build an application. Frameworks are the building blocks of a web application. They are the foundation upon which web applications are constructed. There are many frameworks for web development that support various programming languages. In this review paper, we will discuss some of the most important frameworks for web development. We will discuss the front-end framework, the back-end framework, and the databaseenvironment. Based on the information provided in thisreview, you can predict which framework will be mosteffective for increasing user engagement.

Design and Management of a Spatial Database for Monitoring Building Comfort and Safety

As the impacts of climate change on urban environments and buildings become more and more prominent, building comfort and structural safety monitoring becomes crucial. However, efficiently storing and managing the multi-source monitoring data generated during the long-term monitoring process has been an urgent challenge. In order to solve the above problems, this paper designs and develops a spatial database management system for building comfort and structural safety monitoring based on standard database development tools. A conceptual model of a spatial database for building comfort and structural safety monitoring is proposed, and the entities, attributes, and connections in the model are discussed to transform the E-R conceptual model into a logical model supported by an object-relational spatial database management system. Based on this conceptual and logical model, a mainstream backend framework was adopted and combined with common database and programming language tools and BIM (Building Information Modeling) technology for development to establish a spatial database management system with data storage, management, analysis, and visualization functions. We designed building monitoring experiments and proved through the experiments that the database management system can stably store, analyze, and manage the monitoring data and visualize the display, with the advantages of a fast response speed and low error rate. The spatial database system improves the storage and management efficiency of building comfort and structural safety monitoring data, eliminates redundant data, and realizes comprehensive analysis and management of building comfort and structural safety monitoring data. It provides data support for building comfort and structural safety assessment, helps users analyze the formation mechanism and evolution law of the urban heat island effect, assesses the interrelationship between climate change and urban building morphology, and constructs an urban thermal environment that is more adaptable to climate change.

MERN Stack Based User Authentication Technique for Evernote Application

The MERN (MongoDB, Express.js, React, Node.js) stack gives a solid foundation for building web applications, and executing client affirmation may be a imperative point of numerous applications, checking the Evernote application. Inside the setting of Evernote, a MERN stack- based client confirmation procedure incorporates utilizing MongoDB as the database to store client qualifications securely. Express.js, a backend framework for Node.js, is utilized to create a exit API that handles client enrollment, login, and affirmation. The confirmation handle incorporates creating and endorsing JSON Web Tokens (JWT), confirming secure communication between the client (React front conclusion) and the server. React is utilized for building the client interface, enabling a steady and responsive association for clients affiliation with Evernote. The Node.js server, fueled by Express.js, manages client sessions, favors tokens, and communicates with the MongoDB database to confirm clients and authorize get to to their Evernote data. In this MERN stack-based affirmation strategy for Evernote, the integration of these developments ensures a reliable ,modifible and capable course of action. Clients can securely enroll, log in, and get to their Evernote accounts with certainty, knowing that their affirmation data is taken care of with industry-standard security sharpens. The combination of MongoDB for data capacity, Express.js for server-side method of reasoning, React for a lively client interface, and Node.js for server runtime shapes a competent and cohesive designing for executing client confirmation inside the Evernote application, progressing both security and client inclusion. KeyWords: MERN Stack, Authentication, Evernote, Nodemailer, JsonWebToken, BcryptJS, Axios

Integrated Web-based Palu City Blood Donor Service Application Model Using ReactJS and ExpressJS

Blood donation is an important activity in the medical world that requires efficient coordination between donors and recipients of blood donations so that blood needs are met. However, the blood donation process still needs to be improved because of the lack of donors and the difficulty of blood recipients to find donors. Using this problem, researchers designed and developed a web application that utilizes ReactJS as a frontend Library and ExpressJS as a backend framework. This application will help donors to register, make donor appointments, and access information related to blood donor activities. Admins can use this application to manage information and send notifications to donors. This research system development method needs analysis, system design, application implementation, and testing and evaluation. This research uses two tests, namely Blackbox and a questionnaire. The result of this research is an application system named Badonordarah that can improve the efficiency and effectiveness of the blood donor service process in Palu City and make it easier for donors and blood recipients to interact

Design and Development of Map Vertical Social Platform Based on LBS

In recent years, vertical social communication among strangers characterized by anonymization and personalization is becoming a new approach to social communication in mobile Internet era. This paper developed a map vertical social platform based on LBS technology and Retrofit network framework in an attempt to solve such problems as the slow shift from online to offline social activities and barriers to communication between strangers . The platform implements real-time map display by connecting to the Golden Map SDK, uses C/S three-tier structure as the system architecture, SQL Server database to store and manage data, MVVM as the backend framework, and constructs four modules of map social, social activities and recommendation, group chat and user center based on the social needs of young people, which effectively meets the anonymous social needs of strangers.

A MySQL-Based Software System of Urban Land Planning Database of Shanghai in China

With the development of the digital city, data and data analysis have become more and more important. The database is the foundation of data analysis. In this paper, the software system of the urban land planning database of Shanghai in China is developed based on MySQL. The conceptual model of the urban land planning database is proposed, and the entities, attributes and connections of this model are discussed. Then the E-R conceptual model is transformed into a logical structure, which is supported by the relational database management system (DBMS). Based on the conceptual and logical structures, by using SpringBoot as the back-end framework and using MySQL and Java API as the development tools, a platform with data management, information sharing, map assistance and other functions is established. The functional modules in this platform are designed. The results of JMeter test show that the DBMS can add, store and retrieve information data stably, and it has the advantages of fast response and low error rate. The software system of the urban land planning database developed in this paper can improve the efficiency of storing and managing land data, eliminating redundant data and sharing data.

Application Of Web-Based Archiving Information System (E-Sip) at BPK RI Yogyakarta

Nowadays, almost every aspect of daily life cannot be separated from digital technology. Modern globalization has accelerated the development of information technology and information systems. Because the user has a specific need, organizations like BPK RI DIY are still resistant to manual document retrieval because they are inefficient and ineffective. This is because the user has a specific need. As such, the goal of developing the web-based application of Aplikasi Sistem Informasi Pengarsipan (E-SIP) is to facilitate archiving issuance. In this application, which was created utilizing the waterfall model, the front-end and back-end frameworks were ReactJS for the front end and NetstJS for the back end, both of which are based on NodeJS for databases using MYSQL. This technique uses the Black box for the GUI of the inactive archive application. Based on test results showing that the archiving application is simple to use and understand, it can be assumed that the application can help organizations like BPK RI DIY in archiving management.

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.

PERANCANGAN DAN IMPLEMENTASI SISTEM INFORMASI PEMELIHARAAN DAN PERBAIKAN MESIN (SIMPAN) PADA PT. G+D INDONESIA

G+D Indonesia is a company engaged in the sale and maintenance of banking machines and has been operating in Indonesia since 2008, and has many partners in Indonesia. Today the existing of maintenance system uses manually. The number of partners who must be served after the machine purchase (after sale) needs to be managed properly so that machine maintenance and repairs are scheduled properly. Therefore the maintenance Information System is very much needed to help company in managing and maintenance machine so that service to customers is better.This research aims to 1) build maintenance Information System, 2)provides sevices to customers easily and quickly. This maintenance Information System uses waterfall methode and process design uses UML as a framework to describe the processes that occur, and implemented uses codeigniter as a back end framework using PHP programming language, bootstrap as a front end framework and uses SQLExpress as the database, and Apache as the web server.

Construction of Selection and Evaluation Algorithm for High-Level Tennis Students in Colleges and Universities Based on Random Matrix Model

The evaluation method of tennis students’ ability has an important influence on optimizing the selection and training of high-level tennis students. Based on the random matrix model theory, this paper constructs an evaluation algorithm for high-level tennis students in colleges and universities. Based on the literature and expert opinions, the model selects professional technical ability, knowledge learning ability, comprehensive development ability, and sustainable development ability as weighting factors and constructs the ability evaluation index system for high-level tennis students in colleges and universities. During the simulation process, the visualization system uses springboot, mybatis, and shiro as the back-end development framework to realize the modules of matrix management, role management, resource management, grade management, course management, student management, model management, etc. It adopts the MATLAB software platform to construct that the tennis learning evaluation includes 6 first-level indicators and 24 second-level indicators. The experimental results show that the final weights of the first-level indicators of tennis learning evaluation are as follows: tennis specific quality is 0.15, tennis sports skill is 0.3, tennis theoretical knowledge is 0.1, progress score is 0.15, attitude to learning tennis is 0.2, emotional performance and the spirit of cooperation is 0.1, and the results are visualized, which effectively improves the effectiveness of the random matrix algorithm in the field of selection evaluation.

A Sensor based Data Analytics for Patient Monitoring Using Data Mining

Remote sensor networks have been broadly utilized in medical care applications, like emergency clinic and home patient observing. A great deal of work has been done to get remote clinical sensor organizations. The current arrangements can safeguard the patient information during transmission, yet cant stop within assault where the manager of the patient data set uncovers the touchy patient information. In this paper, we propose a useful way to deal with forestall within assault by utilizing different information servers to store patient information. The fundamental commitment of this paper is safely disseminating the patient information in various information servers and utilizing the AES to perform measurement investigation on the patient information without compromising the patients security. Remote clinical sensor networks surely work on understandings nature of-care without upsetting their solace. Nonetheless, there exist numerous potential security dangers to the patient delicate physiological information communicated over the public diverts and put away in the back-end frameworks. Average security dangers to medical care applications with WSNs can be summed up as follows. Snoopping is a security danger to the patient information protection A busybody, having a strong beneficiary recieving wire, might have the option to catch the patient information from the clinical sensors and accordingly realizes the patients medical issue. He might even post the patients medical issue on interpersonal organization, which can represent a genuine danger to patient security. Pantomime is a security danger to the patient information credibility.

Commerce Middle Office Management System Based on Springboot

Abstract This topic takes Vue framework as the front-end framework of e-commerce middle office management system, uses springboot framework as the construction mode of back-end framework, and uses Java to write function code. [1] The data of the system is stored in MySQL database, which can be provided to the employee end of registered employees and the management end of managers. Employees can complete registration and login through the e-commerce middle office management system, and then view department information, store information Warehouse information and view order information and add, view commodity file information. The system administrator manages employee information, department information, store type information, store information, warehouse information, commodity file information and order information through the management end. Through the realization of the different functions of the above employees and administrators, the normal operation of the system is ensured, and the process involving stores, commodities and orders is monitored, So as to make a complete set of e-commerce middle office management system that can be provided to all kinds of users.

A Novel Prediction Method Based on Artificial Intelligence and Internet of Things for Detecting Coronavirus Disease (COVID-19)

Novel coronavirus spreads fast and has a huge impact on the whole world. In light of the spread of novel coronaviruses, we develop one big data prediction model of novel coronavirus epidemic in the context of intelligent medical treatment, taking into account all factors of infection and death and implementing emerging technologies, such as the Internet of Things (IoT) and machine learning. Based on the different application characteristics of various machine learning algorithms in the medical field, we propose one artificial intelligence prediction model based on random forest. Considering the loose coupling between the data preparation stage and the model training stage, such as data collection and data cleaning in the early stage, we adopt the IoT platform technology to integrate the data collection, data cleaning, machine learning training model, and front- and back-end frameworks to ensure the tight coupling of each module. To validate the proposed prediction model, we perform the evaluation work. In addition, the performance of the prediction model is analyzed to ensure the information accuracy of the prediction platform.

Data Analysis and Visualization Platform Design for Batteries Using Flask-Based Python Web Service

Battery operating data of electric vehicles is becoming increasingly quantified and complicated. A data analysis platform is necessary to excavate high-value battery status information for more efficient battery management. This paper proposes a Flask framework and Pyecharts-based lithium-ion data analysis and visualization platform. The design processes including the front-end and back-end frameworks, data preprocessing, data visualization, and data storage are elaborated. In the proposed data platform, a case study of battery state of charge estimation using different machine learning methods is demonstrated, and most of the estimation errors are less than 2.0%, highlighting the effectiveness of the platform.

A Switching-Coupled Backend for Simultaneous Localization and Dynamic Object Tracking

Simultaneous localization and object tracking (SLOT) is essentially important for autonomous systems. Tightly-coupled and loosely-coupled methods are two commonly used back-end frameworks for the state-of-the-art solutions of SLOT problem. However, some inherent limitations exist in these two frameworks. In particular, the tightly-coupled method is usually disturbed by the poor observations of some dynamic objects, and the performance of a loosely-coupled one completely depends on that of classical static simultaneous localization and mapping (SLAM) process. Motivated by these observations, we propose a novel switching-coupled back-end solution and theoretically derive its concrete form using probability representation. Based on the switching strategy and the proposed objects classification criteria where the object uncertainty, observation quality and prior information are jointly considered, the dynamic objects' states are flexibly coupled with camera's state and static landmarks' states. For implementation, the measurement constraints of “good” dynamic objects and static landmarks are simultaneously leveraged to perform SLAM and good object tracking (SLAMGOT) process, and those of “bad” objects are used for bad object tracking (BOT) process based on the obtained camera state. Extensive evaluations on synthetic scenes, KITTI datasets and real-world experiments demonstrate the performance of the proposed method.

Pengujian Performansi Lima Back-End JavaScript Framework Menggunakan Metode GET dan POST

Currently, JavaScript is widely used in server-side (Back-End) website development. There are five choices of Back-End JavaScript frameworks that are commonly used: Koa, Express, Plumier, Loopback, Nest. Developers need to choose which framework has the best performance in order to produce a website with the best performance. For this reason, in this research, a comparsion of performance of the five Back-End JavaScript frameworks on the HTTP protocol was carried out using the GET and POST methods. Performance measurement uses two assessment parameters: 1.) The framework's ability to handle requests per second (req/s), 2.) Decrease in data processing speed (%) related to parsing, validation, routing, requests. Each tested framework is equipped with a router, body-parser, validator, NPM. Tests were carried out ten times on GET and POST, then obtain the average performance value of each framework. The test results show that Koa has the best performance and Loopback has the worst. From the results, it is recommended that Koa, Express, Plumier, be chosen by the developer, compared to Nest and Loopback.

FRAMEWORKS ANALYSIS AND EVALUATION USED IN THE WEB-APPLICATION DEVELOPMENT

This article presents the approaches used to analyze and evaluate modern frameworks that are used in the development of web applications. The analysis and evaluation of frameworks allow you to choose the framework that can be most efficaciously used for each specific case of software development. The popularity of using frameworks in the development of web applications is due to a significant reduction in the time and other resources spent on project execution. The article describes the concept of a framework as a technology for developing web applications and the classification of frameworks. Five main types of frameworks are briefly described. Criteria for the rationality of using frameworks for developing a web application are considered. The advantages and disadvantages of using them when creating web-oriented software are given. When evaluating web applications according to COCOMO model, software options were considered with the use of frameworks in development, and without the use of frameworks. This article provides an overview of the families of modern Back-End frameworks. A comparison of the functionality of the Back-End frameworks of six manufacturers for commercial software solutions is carried out. The choice of criteria for assessing the quality of frameworks is examined. As a basis, when choosing quality criteria, it is proposed to use the ISO 25010 standard. The coefficients of importance for the evaluation criteria, the values of which were obtained with the help of experts, are given. When forming the final assessment of the frameworks, such characteristics as functional suitability, security of working with data, modifiability, interface quality, interaction with payment systems, and integration with JIRA, compatibility, productivity were mentioned. General quality scores were obtained for all the frameworks under consideration. Assessing the quality of frameworks allows you to improve the process of developing a web-oriented software product, the purpose of which is to obtain a web application of a given quality.