Software Development Kit Research Articles

Implementation of Robotic Navigation Algorithms Using Partial Reconfiguration on Zynq SoC

The purpose for this research work is to design a heterogeneous method for adaptive, task-based computer hardware reconfiguration for adaptive mobile robotic applications. The proposed method uses the dynamic reconfiguration technique to modify the navigation system to meet the requirements of various navigation algorithms for accomplishing an assigned task. In this work, we have proposed an efficient architecture that satisfies the requirements with adequate hardware and software resources by dynamically reconfiguring the system. The ability to change resources allows robots to collaborate more easily, to enhance performance and fault tolerance. The method is endorsed with case studies in which a multiple mobile robots are loaded with bitfile and their behaviors are dynamically modified during runtime. This paper also proposes the hardware implementation of navigation algorithms on Zynq SoC, XC7Z020CLG484-1, using Xilinx Vivado 2017.3 to simulate and synthesize the design. Verilog is a real-time hardware description language, which is used to deploy multiple robots. Software Development Kit (SDK) is used to facilitate the generation of integrated software applications for Xilinx embedded processors. One of the important aspects of this work is adopting an FPGA-based robot in service-based applications for assisting humans in their daily lives.

Building a UAV Based System to Acquire High Spatial Resolution Thermal Imagery for Energy Balance Modelling

High spatial resolution and geolocation accuracy canopy evapotranspiration (ET) maps are well suited tools for evaluation of small plot field trials. While creating such a map by use of an energy balance model is routinely performed, the acquisition of the necessary imagery at a suitable quality is still challenging. An UAV based thermal/RGB integrated imaging system was built using the RaspberryPi (RPi) microcomputer as a central unit. The imagery served as input to the two-source energy balance model pyTSEB to derive the ET map. The setup’s flexibility and modularity are based on the multiple interfaces provided by the RPi and the software development kit (SDK) provided for the thermal camera. The SDK was installed on the RPi and used to trigger cameras, retrieve and store images and geolocation information from an onboard GNSS rover for PPK processing. The system allows acquisition of 8 cm spatial resolution thermal imagery from a 60 m height of flight and less than 7 cm geolocation accuracy of the mosaicked RGB imagery. Modelled latent heat flux data have been validated against latent heat fluxes measured by eddy covariance stations at two locations with RMSE of 75 W/m2 over a two-year study period.

Ergonomic assessment of office worker postures using 3D automated joint angle assessment

Sedentary activity and static postures are associated with work-related musculoskeletal disorders (WMSDs) and worker discomfort. Ergonomic evaluation for office workers is commonly performed by experts using tools such as the Rapid Upper Limb Assessment (RULA), but there is limited evidence suggesting sustained compliance with expert’s recommendations. Assessing postural shifts across a day and identifying poor postures would benefit from automation by means of real-time, continuous feedback. Automated postural assessment methods exist; however, they are usually based on ideal conditions that may restrict users’ postures, clothing, and hair styles, or may require unobstructed views of the participants. Using a Microsoft Kinect camera and open-source computer vision algorithms, we propose an automated ergonomic assessment algorithm to monitor office worker postures, the 3D Automated Joint Angle Assessment, 3D-AJA. The validity of the 3D-AJA was tested by comparing algorithm-calculated joint angles to the angles obtained from manual goniometry and the Kinect Software Development Kit (SDK) for 20 participants in an office space. The results of the assessment show that the 3D-AJA has mean absolute errors ranging from 5.6° ± 5.1° to 8.5° ± 8.1° for shoulder flexion, shoulder abduction, and elbow flexion relative to joint angle measurements from goniometry. Additionally, the 3D-AJA showed relatively good performance on the classification of RULA score A using a Random Forest model (micro averages F1-score = 0.759, G-mean = 0.811), even at high levels of occlusion on the subjects’ lower limbs. The results of the study provide a basis for the development of a full-body ergonomic assessment for office workers, which can support personalized behavior change and help office workers to adjust their postures, thus reducing their risks of WMSDs.

Submarine pipeline tracking technology based on AUVs with forward looking sonar

Submarine pipelines have provided an important approach to transport marine oil and gas resources because of their simplicity and efficiency. However, natural or man-made causes can easily lead to pipeline damage and thus result in waste of resources and environmental pollution. At present, the manual routine inspection of submarine pipelines is mainly completed by the survey vessels, which requires a large workload and high cost. The use of autonomous underwater vehicles with multibeam sonar system for real-time surveys is a good solution to this problem. Yet, the accumulation of errors in the integrated navigation system of the vehicle over a long period of operation can cause relatively large position deviations, since the signals of global positioning system cannot be received in the deep sea. To deal with it, the forward looking sonar is adopted in this study to obtain the precise position of the submarine pipeline and a tracking algorithm is proposed to track it. Firstly, the software development kit of the forward looking sonar is used to continuously obtain the pseudo-color images of the submarine pipeline, which are converted into 8-channel gray-scale images for image segmentation and binarization. Secondly, the optimized Rosenfeld algorithm is applied to thin the binary images, after which the submarine pipeline is identified and the corresponding function is fitted to determine the location of the target point to be tracked. Finally, the geodetic coordinates of the target point are determined through coordinate conversion to position the submarine pipeline. A sea trial is carried out and the results prove that accurate and stable pipeline tracking can be achieved by combining the integrated navigation system and the proposed algorithm.

Coupling of a multi-GPU accelerated elasto-visco-plastic fast Fourier transform constitutive model with the implicit finite element method

This paper presents an implementation of the elasto-visco-plastic fast Fourier transform (EVPFFT) crystal plasticity model in the implicit finite element (FE) method of Abaqus standard through a user material (UMAT) subroutine to provide a constitutive relationship between stress and strain at FE integration points. To facilitate the implicit coupling ensuring fast convergence rates, an analytical Jacobian is derived. The constitutive response at every integration point is obtained by the full-field homogenization over an explicit microstructural cell. The implementation is a parallel computing approach involving multi-core central processing units (CPUs) and graphics processing units (GPUs) for computationally efficient simulations of large plastic deformation of metallic components with arbitrary geometry and loading boundary conditions. To this end, the EVPFFT solver takes advantages of GPU acceleration utilizing Nvidia’s high performance computing software development kit (SDK) compiler and compute unified device architecture (CUDA) FFT libraries, while the FE solver leverages the message passing interface (MPI) for parallelism across CPUs. The high-performance hybrid CPU-GPU multi-level framework is referred to as FE-GPU-EVPCUFFT. Simulations of simple compression of Cu and large strain cyclic reversals of dual phase (DP) 590 have been used to benchmark the accuracy of the implementation in predicting the mechanical response and texture evolution. Subsequently, two applications are presented to illustrate the potential and utility of the multi-level simulation strategy: 4-point bending of textured Zr bars, in which the model captures the shape variations as a consequence of texture with respect to the bending plane and another bending of DP1180, in which the model reveals details of spatial micromechanical fields.

EmteqPRO—Fully Integrated Biometric Sensing Array for Non-Invasive Biomedical Research in Virtual Reality

Virtual Reality (VR) enables the simulation of ecologically validated scenarios, which are ideal for studying behaviour in controllable conditions. Physiological measures captured in these studies provide a deeper insight into how an individual responds to a given scenario. However, the combination of the various biosensing devices presents several challenges, such as efficient time synchronisation between multiple devices, replication between participants and settings, as well as managing cumbersome setups. Additionally, important salient facial information is typically covered by the VR headset, requiring a different approach to facial muscle measurement. These challenges can restrict the use of these devices in laboratory settings. This paper describes a solution to this problem. More specifically, we introduce the emteqPRO system which provides an all-in-one solution for the collection of physiological data through a multi-sensor array built into the VR headset. EmteqPRO is a ready to use, flexible sensor platform enabling convenient, heterogenous, and multimodal emotional research in VR. It enables the capture of facial muscle activations, heart rate features, skin impedance, and movement data—important factors for the study of emotion and behaviour. The platform provides researchers with the ability to monitor data from users in real-time, in co-located and remote set-ups, and to detect activations in physiology that are linked to arousal and valence changes. The SDK (Software Development Kit), developed specifically for the Unity game engine enables easy integration of the emteqPRO features into VR environments.Code available at: (https://github.com/emteqlabs/emteqvr-unity/releases)

Deep Learning Inference Parallelization on Heterogeneous Processors With TensorRT

As deep learning (DL) inference applications are increasing, an embedded device tends to equip neural processing units (NPUs) in addition to a CPU and a GPU. For fast and efficient development of DL applications, TensorRT is provided as the software development kit for the NVIDIA hardware platform, including optimizer and runtime that delivers low latency and high throughput for DL inference. Like most DL frameworks, TensorRT assumes that the inference is executed on a single processing element, GPU, or NPU, not both. In this letter, we propose a parallelization methodology to maximize the throughput of a single DL application using both GPU and NPU by exploiting various types of parallelism on TensorRT. With six real-life benchmarks, we could achieve 81%–391% throughput improvement over the baseline inference using GPU only.

VContact: Private WiFi-Based IoT Contact Tracing With Virus Lifespan

Covid-19 is primarily spread through contact with the virus, which may survive on surfaces with a lifespan of hours or even days if not sanitized. To curb its spread, it is hence of vital importance to detect those who have been in contact with the virus for a sustained period of time, the so-called <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">close contacts</i> . Most of the existing digital approaches for contact tracing focus only on direct face-to-face contacts. There has been little work on detecting indirect environmental contact, which is to detect people coming into a contaminated area with the live virus, i.e., an area last visited by an infected person within the virus lifespan. In this work, we study automatic Internet of Things (IoT) contact tracing when the virus has a lifespan, which may depend on the disinfection frequency at a location. Leveraging the ubiquity of WiFi signals, we propose vContact, a novel, private, pervasive, and fully distributed WiFi-based IoT contact tracing approach. Users carrying an IoT device (phone, wearable, dongle, etc.) continuously scan WiFi access points (APs) and store their hashed IDs. Given a confirmed case, the signals are then uploaded to a server for other users to match in their local IoT devices for virus exposure notification. vContact is not based on device pairing, and no information of other users is stored locally. The confirmed case does not need to have the device for it to work properly. As WiFi data are sampled sporadically and asynchronously, vContact uses novel and effective signal processing approaches and a similarity metric to align and match signals at any time. We conduct extensive indoor and outdoor experiments to validate vContact performance. Our results demonstrate that vContact is effective and accurate for contact detection. The precision, recall, and F1-score of contact detection are high (up to 90%) for close contact proximity (2 m). Its performance is robust against AP numbers, AP changes, and phone heterogeneity. Having implemented vContact as an Android software development kit and installed it on phones and smart watches, we present a case study to demonstrate the validity and implementability of our design in notifying its users about their exposure to the virus with a specific lifespan.

NEW TECHNOLOGIES AND THEIR INTERCONNECTION IN THE CREATION AND PROCESSING OF 3DMODELS AND SCENES

Abstract. This article focuses on the content and processing of the prepared dissertation thesis, which deals with the possibilities of using new technologies and software tools such as procedural generation of 3D models, game engines, rendering programs, virtual and augmented reality, eye tracking and BIM in cartographic processing and 3D landscape visualization. The dissertation focuses on the interconnection of these technologies, on new methods of processing and on the combination of the use of modern software equipment with already existing methods of processing into one complete process. For these purposes, the possibilities of using, among other things, software development kits (SDK), plugins and extensions of existing programs will be explored. Great emphasis will be placed on the Unity game engine and the ability to use its individual parts (rendering engine, physics engine, scripting, simulation, and AI) to create new workflows and new types of processing / outputs. The main goal of this dissertation is to find and document the possibilities of interconnection of individual technologies, especially those that are not commonly used or can be considered new (no scientific articles were found that would use these methods of interconnection). The result of the dissertation will be new working procedures and more realistic visualizations of 3D models and scenes corresponding to the technologies available today. An equally important part of the dissertation will be the creation of sample projects for individual programs, test data, work procedures and general teaching materials to simplify the use of these technologies in teaching and in departmental projects.

Integrated Augmented Reality and Cloud Computing Approach for Infrastructure Utilities Maintenance

In the construction industry, technology plays a significant role. Techniques such as virtual reality (VR), augmented reality (AR), holograms, and other visualization techniques have been primarily concerned with sectors such as sales, marketing, and real estate. This paper aims to develop a handheld mobile application that assists facility engineers in visualizing all underground utilities enriched with all inspection data using building information modeling (BIM) technologies. It outlines a process for developing a smartphone AR application that visualizes infrastructure networks to improve infrastructure operation and maintenance (O&M) workflows. Localizing precision is a significant issue for two reasons. The first is that virtual 3D graphics models are not stable via most AR applications. The second is that they make the user believe that the virtual model floats or does not represent reality. The BIM 360 Docs application is used to store and manage all project data such as drawings, reports, and 3D models, whereas BIM 360 Build is used in completing and sending inspection forms. Vuforia and ARCore software development kits (SDKs) are being comparatively researched. This study aims to measure the scaling and flickering of the ARField mobile application, virtual model consistency, and the mobile devices it supports. A survey was conducted between managers/engineers of installations and visualization experts. This survey emphasizes the usability, technicality, and probability of the application distribution. The findings show that 80% of visualization experts realized that the application developed by ARCore SDK is more robust than the application developed by Vuforia. It is worth noting that the proposed research is considered an integrated AR construction technology that facilitates asset management professionals’ tasks by providing an easy-to-use reliable solution.

Design of Embedded Remote Software Update System Based on FPGA+ARM

Software updates are one of the most critical considerations in the production phase of any IoT project at a very early stage. If a production team maintains the program, anything that goes wrong can be corrected, and new characteristics can be implemented promptly, provided remote upgrades are successful, secure, and trusted. The fast growth of embedded and wireless technologies has eventually led to the convergence of embedded and wireless systems. Therefore, products should be pushed into development beforehand to provide the potential for a different approach, including remote upgrades if new enhancements are ready or if bugs have been remedied with the existing version. For the most part, it’s good to have a software upgrade mechanism during the very early stages of the product or application definition. The paper offers an ARM and FPGA-based data acquisition framework. It aims to capture the bandwidth of wireless signals from 70[Formula: see text]MHz to 6[Formula: see text]GHz using the proposed framework in the article. The framework included the user interface to configure sample rate, bandwidth, sample center frequency, sample time, and data storage parameters for sampling — the proposed framework consists of software and software architecture for the hardware framework. The hardware is supported by ARM and FPGA. The software is based on the Xilinx software development kit (SDK). In particular, for fast transmission and storing of data over ETHERNET, a remote data acquisition scheme based on the server and client model is built.

BioThings SDK: a toolkit for building high-performance data APIs in biomedical research.

SummaryTo meet the increased need of making biomedical resources more accessible and reusable, Web Application Programming Interfaces (APIs) or web services have become a common way to disseminate knowledge sources. The BioThings APIs are a collection of high-performance, scalable, annotation as a service APIs that automate the integration of biological annotations from disparate data sources. This collection of APIs currently includes MyGene.info, MyVariant.info and MyChem.info for integrating annotations on genes, variants and chemical compounds, respectively. These APIs are used by both individual researchers and application developers to simplify the process of annotation retrieval and identifier mapping. Here, we describe the BioThings Software Development Kit (SDK), a generalizable and reusable toolkit for integrating data from multiple disparate data sources and creating high-performance APIs. This toolkit allows users to easily create their own BioThings APIs for any data type of interest to them, as well as keep APIs up-to-date with their underlying data sources.Availability and implementationThe BioThings SDK is built in Python and released via PyPI (https://pypi.org/project/biothings/). Its source code is hosted at its github repository (https://github.com/biothings/biothings.api).Supplementary information Supplementary data are available at Bioinformatics online.

Exploring the COVID-19 Pandemic as a Catalyst for Behavior Change Among Patient Health Record App Users in Taiwan: Development and Usability Study.

BackgroundDuring the COVID-19 pandemic, personal health records (PHRs) have enabled patients to monitor and manage their medical data without visiting hospitals and, consequently, minimize their infection risk. Taiwan’s National Health Insurance Administration (NHIA) launched the My Health Bank (MHB) service, a national PHR system through which insured individuals to access their cross-hospital medical data. Furthermore, in 2019, the NHIA released the MHB software development kit (SDK), which enables development of mobile apps with which insured individuals can retrieve their MHB data. However, the NHIA MHB service has its limitations, and the participation rate among insured individuals is low.ObjectiveWe aimed to integrate the MHB SDK with our developed blockchain-enabled PHR mobile app, which enables patients to access, store, and manage their cross-hospital PHR data. We also collected and analyzed the app’s log data to examine patients’ MHB use during the COVID-19 pandemic.MethodsWe integrated our existing blockchain-enabled mobile app with the MHB SDK to enable NHIA MHB data retrieval. The app utilizes blockchain technology to encrypt the downloaded NHIA MHB data. Existing and new indexes can be synchronized between the app and blockchain nodes, and high security can be achieved for PHR management. Finally, we analyzed the app’s access logs to compare patients’ activities during high and low COVID-19 infection periods.ResultsWe successfully integrated the MHB SDK into our mobile app, thereby enabling patients to retrieve their cross-hospital medical data, particularly those related to COVID-19 rapid and polymerase chain reaction testing and vaccination information and progress. We retrospectively collected the app’s log data for the period of July 2019 to June 2021. From January 2020, the preliminary results revealed a steady increase in the number of people who applied to create a blockchain account for access to their medical data and the number of app subscribers among patients who visited the outpatient department (OPD) and emergency department (ED). Notably, for patients who visited the OPD and ED, the peak proportions with respect to the use of the app for OPD and ED notes and laboratory test results also increased year by year. The highest proportions were 52.40% for ED notes in June 2021, 88.10% for ED laboratory test reports in May 2021, 34.61% for OPD notes in June 2021, and 41.87% for OPD laboratory test reports in June 2021. These peaks coincided with Taiwan’s local COVID-19 outbreak lasting from May to June 2021.ConclusionsThis study developed a blockchain-enabled mobile app, which can periodically retrieve and integrate PHRs from the NHIA MHB's cross-hospital data and the investigated hospital's self-pay medical data. Analysis of users’ access logs revealed that the COVID-19 pandemic substantially increased individuals’ use of PHRs and their health awareness with respect to COVID-19 prevention.

A Software Development Kit and Translation Layer for Executing Intel 8080 Assembler on a Quantum Computer (August 2022)

One of the major obstacles to the adoption of quantum computing is the requirement to define quantum circuits at the quantum gate level. Many programmers are familiar with high-level or low-level programming languages but not quantum gates nor the low-level quantum logic required to derive useful results from quantum computers. The steep learning curve involved when progressing from quantum gates to complex simulations such as Shor's algorithm has proven too much for many developers. The purpose of this paper and the software presented within, addresses this challenge by providing a Software Development Kit (SDK), translation layer, emulator and a framework of techniques for executing Intel 8080/Z80 assembler on a quantum computer, i.e. all salient points of CPU execution, logic, arithmetic and bitwise manipulation will be executed on the quantum computer using quantum circuits. This provides a novel means of displaying the equivalency and interoperability of quantum and classical computers. Developers and researchers can use the SDK to write code in Intel 8080/Z80 assembler which is executed locally via traditional emulation and remotely on a quantum computer in parallel. The emulator features side-by-side code execution with visibility of the running quantum circuit and re-usable/overridable methods. This enables programmers to learn, reuse and contrast techniques for performing any traditional CPU based technique/instruction on a quantum computer; e.g. a programmer may know how to multiply and perform checks on a classical CPU but is not able to perform the same tasks in a quantum implementation, this SDK allows the programmer to pick and choose the methods they would like to use to fulfil their requirements. The SDK makes use of open-source software, specifically Python and Qiskit for the emulation, translation, API calls and execution of user supplied code or binaries.

Dicoogle Open Source: The Establishment of a New Paradigm in Medical Imaging.

The rapid and continuous growth of data volume and its heterogeneity has become one of the most noticeable trends in healthcare, namely in medical imaging. This evolution led to the deployment of specialized information systems supported by the DICOM standard that enables the interoperability of distinct components, including imaging modalities, repositories, and visualization workstations. However, the complexity of these ecosystems leads to challenging learning curves and makes it time-consuming to mock and apply new ideas. Dicoogle is an extensible medical imaging archive server that emerges as a tool to overcome those challenges. Its extensible architecture allows the fast development of new advanced features or extends existent ones. It is currently a fundamental enabling technology in collaborative and telehealthcare environments, including research projects, screening programs, and teleradiology services. The framework is supported by a Learning Pack that includes a description of the web programmatic interface, a software development kit, documentation, and implementation samples. This article gives an in-depth view of the Dicoogle ecosystem, state-of-the-art contributions, and community impact. It starts by presenting an overview of its architectural concept, highlights some of the most representative research backed up by Dicoogle, some remarks obtained from its use in teaching, and worldwide usage statistics of the software. Finally, the positioning of Dicoogle in the medical imaging software field is discussed through comparison with other well-known solutions.

Augmented Reality: Prototype for the Teaching-Learning Process in Peru

In recent years, augmented reality is playing an important role in the world of mobile technology, since it is a way to facilitate the teaching-learning processes, this easy teaching-learning process generates a great contribution in companies, either creating opportunities or changing the way in which companies approach and interact with their end customers, this can mean a remarkable growth of the organization, that is why in this work an augmented reality prototype has been made using the methodology Scrum at the University of Sciences and Humanities of Lima-Peru, but with a focus on the nursing career. Knowing that the problem is the limited learning that students acquire in the classrooms, for which, we want to make use of augmented reality, so that this improves the form of education that is provided to university students. The result obtained, from developing the case study, was an augmented reality prototype for the improvement of education at the University of Sciences and Humanities of Lima-Peru, which shows a virtual model (it depends on the image shown), able to interact with the user, making it attractive and motivating for the student, this prototype was achieved, using Unity (3D development platform, Vuforia (augmented reality software development kit), Microsoft Visual Studio (integrated development environment), the Scrum Methodology (Scrum Pillars, Product Backlog, Product Backlog Estimation, Speed, Backlog Prioritization and Sprint Planning) and the C# Language (C Sharp).

Optimizing a Variational Quantum Classifier through the Behavior Analysis of its Components

Quantum computer introduces a novel approach to process information. In quantum information processing, the law of quantum mechanics is applied to solve many practical computational problems. Classification is one such problem that can be resolved efficiently with the gate model quantum computer. There are several types of classifiers available in quantum domain, such as- variational quantum classifier (VQC), Quantum Support Vector Machine (QSVM) with Kernel Approximation, Hybrid Quantum Neural Network (QNN) etc. However, in this study, the mathematical similarities between VQC and classical support vector machine (SVM) and the components of the VQC are analyzed to optimize the performance of the classifier. For the convenience of the study, publicly available datasets, such as- IRIS dataset and Breast cancer dataset, are used in the experiments. IRIS dataset is brought into play for the testing and breast cancer dataset dimension reduced by Principle component analysis (PCA) is for validity test of the optimized VQC. After studying the VQC components in detail, it is found that the optimized VQC outperforms some of the classical machine learning algorithms or sometimes works as similar as classical SVM. The optimized VQC algorithm classifies IRIS dataset with 100% of accuracy and PCA dimension reduced Breast cancer dataset with 90% of accuracy. All of these studies are conducted with the help of Qiskit- an open-source software development kit (SKD) which is developed by IBM. So, the quantum device is considered to be ideal in every experiment.

Real-Time Multiple Pedestrian Tracking With Joint Detection and Embedding Deep Learning Model for Embedded Systems

This paper proposes an improvement to the multi-object tracking system framework based on the image inputs. By analyzing the role and performance of each block in the original multi-objects tracking system, the blocks of the original system are reconstructed to enhance the efficiency and yield a faster processing speed suiting the real-time applications. In the proposed method, the first two parts of the multi-object tracking system are merged into a single neural network designed for object detection and feature extraction. A new object association judgment method and JDE inspired prediction head are included in order to achieve a better and an outstanding association effect resulting in the overall improvement of the original system by 45.2%. The enhanced method is aimed at the application of smart roadside units and uses fixed-viewpoint image input to achieve multi-object tracking on embedded platforms. The proposed method is implemented on the NVIDIA Jetson AGX Xavier embedded platform. The NVIDIA TensorRT software development kit is used to accelerate the neural network. The overall performance of the proposed system yields better efficiency compared to that of the original SDE design and the overall computing performance achieve up to 14-26 images per second, making it ideal for the real-time smart roadside unit applications.

Immersive Technologies in 5G-Enabled Applications: Some Technical Challenges of the Novel Usage Models

5G next-generation networking paradigm with its envisioned capacity, coverage, and data transfer rates provide a developmental field for novel applications scenarios. Virtual, Mixed, and Augmented Reality will play a key role as visualization, interaction, and information delivery platforms. The recent hardware and software developments in immersive technologies including AR, VR and MR in terms of the commercial availability of advanced headsets equipped with XR-accelerated processing units and Software Development Kits (SDKs) are significantly increasing the penetration of such devices for entertainment, corporate and industrial use. This trend creates next-generation usage models which rise serious technical challenges within all networking and software architecture levels to support the immersive digital transformation. The focus of this paper is to detect, discuss and propose system development approaches and architectures for successful integration of the immersive technologies in the future information and communication concepts like Tactile Internet and Internet of Skills.

Rancang Bangun Aplikasi Produk Ulew Coffee Berbasis Android

Various kinds of business fields that are currently experiencing development, coffee shops are one of them. In addition to providing attractive packaging, business actors also need a good marketing strategy to develop existing businesses. This system is designed as a development of information media that has been run in several coffee shops, namely information media in the form of pamphlets, brochures, catalogs, advertisements in newspapers and on the radio. Because it is considered less than optimal, a product sales application will be developed at the coffee shop. With the availability of services through android, visitors can find out information about the product.Because of the above problems created an innovation to create an Android-based application that most people certainly have a smartphone with an Android operating system. The software development method used is Waterfall with several stages, namely requirements analysis, system design, implementation, integration and testing as well as operation and maintenance. Making the system using Visual Studio Code and Android Studio using the Software Development Kit, namely Flutter. The programming language uses Dart and PHP. This application contains product availability information where data will be entered through an online system so that information about the product can be seen by Ulew Coffee and consumers.