API Framework Research Articles

Securing Musical Streams: Leveraging ElGamalEncryption in REST API Frameworks for PWAs

Securing Musical Streams: Leveraging ElGamalEncryption in REST API Frameworks for PWAs

ISETECH-Statistics and Machine Learning Based Decision-Making for Diet Beverage Choice and Recommendation through Software Application

Positioned within the realm of ubiquitous beverage chains acclaimed for their diverse coffee and tea offerings, this investigation deeply explores the intricate nutritional dynamics and caloric compositions of these widely consumed beverages. At its core, the research aims to streamline decision-making for individuals actively seeking health-conscious beverage alternatives. This comprehensive endeavour unfolds through an integrated methodology that combines hypothesis testing and other statistical techniques with the establishment of a robust decision support system, complemented by powerful machine learning techniques. Distinctively, the paper integrates an intuitive React application (ReactApp) into the robust Fast API framework. Users engage seamlessly with the decision support system, as Fast API efficiently manages data processing, interfaces with machine learning algorithms, and delivers personalized recommendations to the ReactApp front. In essence, this interdisciplinary initiative epitomizes the fusion of nutritional science, statistical analysis, machine learning, and modern web technologies, providing a holistic and pioneering solution for selecting health-conscious beverage alternatives. One of the most noteworthy outcomes of our research lies in the compelling results we've achieved. Our predictive model has demonstrated exceptional performance: We achieved an impressive Accuracy Rate of 83.67%, signifying the high precision of our recommendations in identifying health-conscious beverage alternatives. Simultaneously, the F1-Score, which harmonizes precision and recall, stands at a commendable 82.21%, indicating a well-balanced and effective decision support system. Our model's ability to recall health-conscious choices is also strong, with a Recall rate of 83.67%. Furthermore, we assessed the model's agreement with observed data using Cohen's Kappa, which yielded a substantial score of 78.01%. This indicates not only the model's predictive power but also its ability to capture agreement beyond what might occur by chance alone. These results, seamlessly integrated into our research narrative, underscore the effectiveness and reliability of our approach. They constitute a rare and valuable contribution to the field, promising a novel pathway for informed and health-driven consumer choices, firmly supported by our rigorous methodology and advanced machine learning outcomes.

Automated API framework tools for evaluating cloud resources (IAM, S3, KMS) for compliance with ISO 27001 case study AWS

Automated API framework tools for evaluating cloud resources (IAM, S3, KMS) for compliance with ISO 27001 case study AWS

FILO: Automated FIx-LOcus Identification for Android Framework Compatibility Issues

Keeping up with the fast evolution of mobile operating systems is challenging for developers, who have to frequently adapt their apps to the upgrades and behavioral changes of the underlying API framework. Those changes often break backward compatibility. The consequence is that apps, if not updated, may misbehave and suffer unexpected crashes if executed within an evolved environment. Being able to quickly identify the portion of the app that should be modified to provide compatibility with new API versions can be challenging. To facilitate the debugging activities of problems caused by backward incompatible upgrades of the operating system, this paper presents FILO, a technique that is able to recommend the method that should be modified to implement the fix by analyzing a single failing execution. FILO can also provide additional information and key symptomatic anomalous events that can help developers understand the reason for the failure, therefore facilitating the implementation of the fix. We evaluated FILO against 18 real compatibility problems related to Android upgrades and compared it with Spectrum-Based Localization approaches. Results show that FILO is able to efficiently and effectively identify the fix-locus in the apps.

Pengembangan Sistem Reservasi Barbershop Berbasis Web Dan Mobile

Arkan Barbershop is a barbershop located in the Wangon area of Banyumas Regency. Arkan Barbershop offers services such as haircuts, hair coloring, and other hair treatments. Currently, Arkan Barbershop still uses manual queues with numbers, resulting in customer congestion at certain times. This application is built using REST API and Laravel framework to process reservation data, services, and prices at Arkan Barbershop. Customers input the desired service and time to facilitate booking and to obtain information about the services available at the barbershop and the list of available service prices.

Multiplatform of SVC Device for User Experience Mobile Robot Teleoperation

The industrial revolution 4.0 and the rapid advancement of technology during pandemic era has made significant progress in robot industry. There are three types of robots based on the level of independent control such as autonomous mobile robots, semi-autonomous mobile robots, and controller mobile robots. Semi-autonomous mobile robot and Controlled mobile still require human intervention in carrying out the tasks. In this study, teleoperation on mobile robots is displayed on various platforms such as Smartphone, Virtual reality headset as a virtual reality platform, and Computer (SVC) device. A camera is used as a visual sensor that dispatches the information of the surroundings to each platform. The controller used for the teleoperation varies depending on the platforms. The computer platform uses the arrow key on the keyboard. The smartphone platform uses touchscreen. Virtual reality uses Oculus Touch that has been integrated with Oculus Quest 2. ROS# as a robot API framework with Unity engine is used for the communication process between the robot and each platform. Teleoperation Experiments on SVC devices refer to four parameters including task completion rates, task time, satisfaction, and error counts. all these parameters will be combined into a single usability metric (SUM). The SUM results from SVC devices show 54.9% on Smartphones, 79.5% on VR devices, and 90.4% on Computers.

On the Robustness of Topics API to a Re-Identification Attack

Web tracking through third-party cookies is considered a threat to users' privacy and is supposed to be abandoned in the near future. Recently, Google proposed the Topics API framework as a privacy-friendly alternative for behavioural advertising. Using this approach, the browser builds a user profile based on navigation history, which advertisers can access. The Topics API has the possibility of becoming the new standard for behavioural advertising, thus it is necessary to fully understand its operation and find possible limitations. This paper evaluates the robustness of the Topics API to a re-identification attack where an attacker reconstructs the user profile by accumulating user's exposed topics over time to later re-identify the same user on a different website. Using real traffic traces and realistic population models, we find that the Topics API mitigates but cannot prevent re-identification to take place, as there is a sizeable chance that a user's profile is unique within a website's audience. Consequently, the probability of correct re-identification can reach 15-17%, considering a pool of 1,000 users. We offer the code and data we use in this work to stimulate further studies and the tuning of the Topic API parameters.

The NanoFlow Repository.

Extracellular particles (EPs) are the focus of a rapidly growing area of exploration due to the widespread interest in understanding their roles in health and disease. However, despite the general need for EP data sharing and established community standards for data reporting, no standard repository for EP flow cytometry data captures rigor and minimum reporting standards such as those defined by MIFlowCyt-EV (https://doi.org/10.1080/20013078.2020.1713526). We sought to address this unmet need by developing the NanoFlow Repository. We have developed The NanoFlow Repository to provide the first implementation of the MIFlowCyt-EV framework. The NanoFlow Repository is freely available and accessible online at https://genboree.org/nano-ui/. Public datasets can be explored and downloaded at https://genboree.org/nano-ui/ld/datasets. The NanoFlow Repository's backend is built using the Genboree software stack that powers the ClinGen Resource, specifically the Linked Data Hub (LDH), a REST API framework written in Node.js, developed initially to aggregate data within ClinGen (https://ldh.clinicalgenome.org/ldh/ui/about). NanoFlow's LDH (NanoAPI) is available at https://genboree.org/nano-api/srvc. NanoAPI is supported by a Node.js Genboree authentication and authorization service (GbAuth), a graph database called ArangoDB, and an Apache Pulsar message queue (NanoMQ) to manage data inflows into NanoAPI. The website for NanoFlow Repository is built with Vue.js and Node.js (NanoUI) and supports all major browsers.

New product design and implementation of aboleth: a mobile D&D character creator for enterprise mobile applications and metaverse

ABSTRACT This paper contributes to rapid prototyping for Aboleth, a mobile application designed as a virtual character sheet for Dungeons and Dragons 5th edition. We propose augmenting an API framework, including details of the general design process and crucial details regarding the specific implementation of the project. The prototype is developed using Computer-Assisted Designs and Xamarin. Software engineering is integrated into game design to improve Human-Computer Interaction and eventually enhance user experiences. Additionally, we discuss the relevance of using such a tool to achieve rapid prototyping for enterprise mobile applications and Metaverse and explore opportunities to improve the project design.

API Development Increases Access to Shared Computing Resources at Boston University.

Within the last few decades, increases in computational resources have contributed enormously to the progress of science and engineering (S & E). To continue making rapid advancements, the S & E community must be able to access computing resources. One way to provide such resources is through High-Performance Computing (HPC) centers. Many academic research institutions offer their own HPC Centers but struggle to make the computing resources easily accessible and user-friendly. Here we present SHABU, a RESTful Web API framework that enables S & E communities to access resources from Boston University's Shared Computing Center (SCC). The SHABU requirements are derived from the use cases described in this work.

A Systematic Analysis of 5G Networks With a Focus on 5G Core Security

After many years of work, 5G standards are still under development and the corresponding technical specifications continue to evolve on the fly. At this moment, several countries have started to deploy 5G networks, and most of them have been following a Non-Standalone (NSA) path to incorporate the existing 4G and other legacy networks. Despite all the advertisement efforts, many people still do not have a clear view on how 5G can power all the promised mission-critical applications in a secure manner. In this paper, we bridge this gap by providing a concise review of some 5G’s new features, including the Service Based Architecture (SBA) and key Network Functions (NFs), the new security features in User Equipment (UE) and Radio Access Network (RAN), the new trust model and security mechanisms (e.g. the 5G AKA protocol), and the newly introduced common API framework (CAPIF). Along with the review of new features, we provide our observations on the potential security concerns accompanied with the relevant research results in the literature. We finally point out some new research directions.

Proposal of algorithms to make up for lost school and university years in post-conflict African countries in the face of Covid-19: case of the Central African Republic

The 12 years of politico-military crises in the Central African Republic (CAR), has created an educational social imbalance in the rural areas of CAR compared to the capital city of Bangui. In some rural areas of CAR, children have not attended school during the 12-year war. The situation has worsened with the Covid-19 pandemic. We modelled two algorithms and materialised them by developing an API Framework Rasa chat bot that uses the main components Rasa NLU, Rasa Core and the programming language Python for the remediation of lost school and university years in African countries in conflict, particularly CAR. It also allows for the orientation in normal, professional and specific training in each province of the CAR, according to the level required of the learner. It takes into account the social distancing imposed by the Covid-19 pandemic.

Forward Kinematics Demonstration of 6DF Robot using CoppeliaSim and C#

Purpose: Robot researchers need the simulator to test their functions and algorithm before implementing them into the real Robot. When we search for a good simulator, a customizable Robot simulator is not available to the researcher. Some good options are available in the market, but their price is too high, not affordable. After much research, we found a better solution around all aspects, fully customizable and entirely free of cost. There are two sides. One is a 3D view of robotics ARM, and another is a joint controller of robotics ARM. For 3D simulation, CoppeliaSim is the best option. It is free of cost and Open Source. The C# language is becoming famous for its managed code structure and ease of implementation. Our Robot controller is in the C# language. Microsoft visual studio is the best IDE to control the simulator. It is an unparallel IDE for the programmer. In the CoppeliaSim little bit, Lua script is in associated functions. For Communication Between the CoppeliaSim and our application, we will use the Remote API Framework. Design/Methodology/Approach: Here we are using the prebuild robot model of CoppeliaSim IDE (Integrated Development Environment) to save time and attach Lua scripts associated with robot objects. From Visual studio IDE we control the Virtual Robot through TCP/IP socket object. Using GUI (Graphical User Interface) we send the command to the robot. Findings/Result: The researcher who is developing a robotics arm, is required vast knowledge of the position and rotation of different joints. By changing the joint value using the GUI element, we can observe the various robot pose. The researcher can proceed further by Sending multiple sequential commands. Thus, we can simulate industrial process automation. Originality/Value: Using both CoppeliaSim and visual studio IDE can create a better environment for our robotics research.

Development of API Middleware and Mobile Application for a Job marketplace by Using RESTful API and Mobile Development Framework

The research is conducted based on the nationwide goals of Indonesia proposed in the Nawacita document, where one of the big goals is to improve the human resource greatly. Providing a good medium such as a job marketplace can be part of improving the human resource. Since most of Indonesian citizen nowadays has easy access to internet, which can ease their way of using a job marketplace application. Creating a job marketplace application may minimize a number of unemployment in Indonesia. Addition to that, through a focus group discussion, it has been discovered that respondents find job marketplace such as JobStreet and Indeed jobs does not satisfy respondents’ UI and UX view towards the application. The objective of this research is to create a job marketplace mobile application that is useful and easy to use for users. The prototype mobile application is developed using react native, and a middleware that is developed using Express JS is made alongside to bridge data to the mobile application. To assess the prototype mobile application, two evaluation method is used which is User Experience Questionnaire (UEQ) and Questionnaire User Interface Satisfaction (QUIS). 6 respondents were allowed to examine prototype application, and answer the questionnaire. The result of the evaluation both shows positive results from both questionnaires.

Bit-By-Bit Communication Based Sensor Middleware APIs

Mainly the frameworks are developed for the developers for rapid application development and less knowledge or without going in depth of a specific area of science and engineering. In this research an API framework for sensor communication using the concept of bit by bit communication has been proposed and tested. That can be used by the programmer and researchers for rapid application development and research. Design and development of APIs is in Java. Sensors used in the research and development are LM35, MQ7, MQ6 etc. All sensors are connected through microcontroller NodeMCU via Wi-Fi 802.11 protocol, Internet and HTTP server for web enablement of the process of data acquisition. All APIs or frameworks of this research will be integrated with the basic firmata4J or it will be available separately so that the user can use it in both the ways. The developed framework can be used for the rapid application development. Framework APIs will be solving the problem of controlling the devices by computer or cloud. In bit by bit communication with NodeMCU or microcontroller research, firmata4J methods make communication with NodeMCU firmata firmware as per the architecture of NodeMCU and pinout diagram according to standard I/O. But it has few limitations. Now there are two frameworks one is basic that is already available firmata4J and second is FirmSens4J. It is being developed in my research. It will be updating to firmata4J.

Flow-Fiber Coupled Viscosity in Injection Molding Simulations of Short Fiber Reinforced Thermoplastics

Abstract The main objective of this paper is to numerically investigate the use of fiber-dependent viscosity models in injection molding simulations of short fiber reinforced thermoplastics with latest commercial software. We propose to use the homogenization-based anisotropic rheological model to take into account flow-fiber coupling effects. The 4th-order viscosity tensor is approximated by an optimal scalar model and then implemented in the Moldflow Insight API framework. Numerical simulations are performed for a test-case rectangular plate with three fiber orientation models. The resulting coupled flow kinematics and fiber evolutions are then compared to the standard uncoupled simulations. Interpretations are given based on detailed post-processing of the field results. Certain deformation conditions are expected to be better taken into account, which may also in return lead to an improved fiber orientation prediction. Preliminary confrontation between flow-fiber coupled simulations and existing experimental data is then presented at the end of the paper.

A methodology to assess the availability of next-generation data centers

Cloud data center providers benefit from software-defined infrastructure once it promotes flexibility, automation, and scalability. The new paradigm of software-defined infrastructure helps facing current management challenges of a large-scale infrastructure, and guarantying service level agreements with established availability levels. Assessing the availability of a data center remains a complex task as it requires gathering information of a complex infrastructure and generating accurate models to estimate its availability. This paper covers this gap by proposing a methodology to automatically acquire data center hardware configuration to assess, through models, its availability. The proposed methodology leverages the emerging standardized Redfish API and relevant modeling frameworks. Through such approach, we analyzed the availability benefits of migrating from a conventional data center infrastructure (named Performance Optimization Data center (POD) with redundant servers) to a next-generation virtual Performance Optimized Data center (named virtual POD (vPOD) composed of a pool of disaggregated hardware resources). Results show that vPOD improves availability compared to conventional data center configurations.

Research and Application of Mobile Online Microcomputer Anti-misoperation Locking System Based on ASP.NET Web API Framework

The investigation shows that the microcomputer anti-misoperation locking system is widely used in the large-scale substation of the main network of power system in China. Operators can complete the operation of switching the power equipment and monitoring the running state of the equipment in the main station of the system. If the operator performs the switching operation at the site, the functions of the main station can not be applied, and various types of data in the background cannot be obtained, which will result in the operator can not judge whether the operation of the equipment to be put into or cut off can cause a power accident. In order to obtain this type of data, the operator needs to go to the main station to make an inquiry, which brings great inconvenience to the operator. Based on the ASP.NET Web API framework, this design applies NFC (Near Field Communication) technology to design a mobile client for anti-misoperation locking. It can realize the function of the anti-misoperation locking system on the mobile end, and break through the space and time limitations of the locking system application.

An Open API Framework to Support the Capability Discovery Mechanism Using the Enhanced SIP OPTIONS Exchange

An Open API Framework to Support the Capability Discovery Mechanism Using the Enhanced SIP OPTIONS Exchange

Studies on the crystal structure and arrangement of water in sitagliptinl-tartrate hydrates

The hydration/dehydration behavior of four distinct channel hydrates of sitagliptin L-tartrate (SLT) was investigated by thermoanalytical methods, dynamic vapour sorption analysis and variable humidity X-ray powder diffraction. The crystal structures were determined from single crystal and powder X-ray diffraction data. A survey of the forms revealed that SLT hydrates exhibit both stoichiometric and non-stoichiometric features demonstrating that the characterization of channel hydrates can be challenging as their behavior is not inevitably unambiguous. Upon dehydration, the parent hydrates retain their structures, and the lattices do not collapse; isostructural dehydrates are formed. The solved crystal structures of the packing polymorphs SLT phase 1 and phase 2 provide an effective basis to rationalize the observed hydration/dehydration pathways. The structures are dominated by infinite sheets formed by hydrogen tartrate anions, linked by hydrogen bonds. These layers separate the parallel, infinite chains of water molecules. The water molecules stabilize the structures by providing additional hydrogen bonds between the cation and the anion. This interaction substantiates the high affinity of water molecules to the API framework and explains the stoichiometric characteristics observed by solid state analytical methods. On the other hand, their non-stoichiometric character is evidenced by the non-destructive dehydration processes.