Graphics programming on Android devices

Introduction: The smart city paradigm is made up of a set of actors who must operate jointly to guarantee road flow. However, sometimes there are accidents, and they affect productive apparatus, cause minor or temporary injuries and sometimes death of the individuals involved. Problem: Events occur for multiple reasons and the authorities have difficulties in implementing controls that minimize their occurrence since they do not have the necessary tools to capture and analyze timely information on the claims that have been presented. Objective: The objective is to increase road safety control and safeguard mobility in Bucaramanga. For this, a mobile application is designed to capture accident data by implementing the Flutter framework and the Model- View design pattern methodology. Controller (MVC). Methodology: The development of software to analyze the large amount of information on road events. A da- tabase is developed where said information is stored and processed using programming languages, coding and data hosting. Design and process factors are also considered according to the user’s needs, which will determine the interface and expected performance. Results: A structured system for data capture with the ability to integrate the general community, streamline the availability of information and facilitate decision making that deals with the problem in real time. Conclusion: It is concluded that its implementation in the city fosters self-care for pedestrians and drivers, facilitating the design of effective control measures by territorial entities, bringing the city of Bucaramanga closer to sustainability. Originality: This methodology for integrating events is unique in the country and is developed based on the city’s own characteristics. Limitations: The lack of information provided by the government actors.

Mobile systems and mobile applications have gained a lot of attention both in research and industry over the last years. The market share of mobile devices is constantly growing. More and more, users expect their mobile devices to provide functionality similar to the one they know from their desktop computers, but also to provide additional, mobile device specific functionality, like location based services. However, software development for mobile devices is still cumbersome and a methodology geared towards supporting the development of such mobile applications is still lacking. While there is broad agreement that developing for mobile devices is more difficult than traditional software engineering, we lack a precise understanding that goes beyond anecdotic evidence of why this is the case and how the situation can be ameliorated. We do not precisely know where and how the development of mobile application differs from “normal” software development and where new methodologies are needed. Aspects that need to be addressed in this context are, among others, the questions of software architectures for mobile applications, approaches to the software design for mobile applications and how the consequences of being mobile, e. g., changing location, changing context, changing connectivity, heterogeneous software and platforms influence the software development process and what design approaches do reflect the specialties of mobile applications and systems appropriately. While this special issue cannot provide a definite or complete answer to these questions, it does provide answers to some important aspects. In the following, we will first try to get a more thorough understanding of some of the main differences between mobile and classical application development and will then discuss how the papers contained in this special issue address these differences.

In software testing process, test data generation represents an important step for high quality software, even for mobile devices. As proposed in previous works, a potential source for random data generation is represented by the UI layout files that are used for almost all mobile platforms (Android, iOS, Windows Phone/Mobile). This paper continues the previous work and presents a test data generation system based on Android layout files. The test data generator uses DSL files as input and generates test data that conform to several testing principles. The generated test data could be stored in XML files or any format required by the testing frameworks.

A Web-Based Perioperative Dashboard as a Platform for Anesthesia Informatics Innovation.

By statistical analysis, we will present an overview of popular mobile applications of Russian banks in 2022, which makes it possible to use rating indicators and see the level of financial accessibility and customer service opportunities through remote services, which allows customers to be in comfortable remote service conditions among the leading banks in Russia. When evaluating the effectiveness of mobile applications, the following conclusions were drawn, which can be a catalyst for new ideas and proposals: modern mobile applications are increasingly introducing superapps – innovative applications with a wide range of functions that tend to expand, according to customer requirements and the capabilities of mobile financial services; the number of customers – consumers of financial services is becoming more and more the account of downloading and working in a mobile application based on remote services; Tinkoff is the leader in downloading mobile applications, and at the same time, there is an increase in indicators of innovative developments in mobile applications and, in general, remote services that form a new atmosphere when leaving the comfort zone among modern online banking customers; 62,5% of installations during the study period were on Android applications (according to the AppMagic analytics system), at the same time, the top three leaders of the “Best Mobile Application” rating were formed – Tinkoff, BEAC, Alfa-Bank.

Comparing Phoneme Speech Recordings and Acoustic App Data Capture Experience for Android and iOS Mobile Device Users in the Large Decentralized AcRIS Study.

As mobile devices and applications continue to grow in popularity worldwide, so do the rise of cybersecurity attacks and threats to daily users of both Android and iOS devices on a widespread basis. These attacks not only target mobile devices at the application level but also at the Operating System (OS) device level and Application Programming Interface (API) level extending the Internet of Things (IoT). This paper will address the security vulnerabilities in Android Operating System at the intersection of APIs, device OS, and application-level vulnerabilities by identifying an intersection of commonalities to create mitigation strategies and best practices for securing mobile devices for organizations. The study recommends the adoption of processes of authentication on mobile devices and web-based log-ins as well as access control mechanisms that can mitigate the overlapping security challenges of APIs, mobile devices OS and applications using optimal resources to enhance security. This was achieved by analyzing the threats and vulnerabilities of API.KeywordsAPIsSecurity vulnerabilitiesMobile OSAndroidiOS

Child mobile device use is increasingly prevalent, but research is limited by parent-report survey methods that may not capture the complex ways devices are used. We aimed to implement mobile device sampling, a set of novel methods for objectively measuring child mobile device use. We recruited 346 English-speaking parents and guardians of children aged 3 to 5 years to take part in a prospective cohort study of child media use. All interactions with participants were through e-mail, online surveys, and mobile device sampling; we used a passive-sensing application (Chronicle) in Android devices and screenshots of the battery feature in iOS devices. Baseline data were analyzed to describe usage behaviors and compare sampling output with parent-reported duration of use. The sample comprised 126 Android users (35 tablets, 91 smartphones) and 220 iOS users (143 tablets, 77 smartphones); 35.0% of children had their own device. The most commonly used applications were YouTube, YouTube Kids, Internet browser, quick search or Siri, and streaming video services. Average daily usage among the 121 children with their own device was 115.3 minutes/day (SD 115.1; range 0.20-632.5) and was similar between Android and iOS devices. Compared with mobile device sampling output, most parents underestimated (35.7%) or overestimated (34.8%) their child's use. Mobile device sampling is an unobtrusive and accurate method for assessing mobile device use. Parent-reported duration of mobile device use in young children has low accuracy, and use of objective measures is needed in future research.

Complex event processing (CEP) and Reactive Languages (RLs) are examples of solutions for the so-called reactive applications. Such applications are designed to detect and react to changes or event occurrences as they happen in a timely fashion. Both CEP and RLs have been developed by different communities, yet some researchers agree that they share certain aspects and could perhaps be integrated. With that in mind, we developed a JavaScript library called CEP.js that leverages the well-known Reactive Extensions for JavaScript (RxJS) to offer not only general-purpose stream operations but also CEP ones. The fact of being a JavaScript library allows CEP.js to be used in Web applications and easily embedded into mobile applications. Therefore, it opens many possibilities for CEP in mobile client applications. It also raises the concern of energy efficiency since CEP applications commonly have to deal with a significant number of events, and its continuous operations on data flows may incur significant processing. Even though CEP.js has been designed after RxJS, it was conceived in a loosely coupled way that the underlying reactive library should be easily replaced if needed. In addition to presenting the CEP.js library, in this paper, we investigate if there is any significant change in performance by running an experiment where the replacement of the reactive library used in CEP.js is the main factor analyzed. The experiment was executed in different Android devices, focusing specifically on energy consumption, an essential non-functional requirement in the smartphone realm.

Mobile devices are becoming essential for today life. In developed countries, about half of the people have a smartphone, resulting in millions of these electronic devices. Android is the most popular operating system for smartphones and other electronic devices such as tablets. Hence, for network administrators, it is essential to start managing all the Android based devices. SNMP is the de facto standard for network administration, where agents that are running in managed devices are polled by management stations. Some primitive tools have already been developed to transform an Android device as a basic management station. However, so far, there is no SNMP agent for this operating system. In this paper, we develop the first SNMP agent for Android. We also propose an SNMP benchmark to study the SNMP traffic that can be supported by our SNMP agent over some real and actual Android devices. The results obtained show that it is realistic to integrate mobile Android devices in network management systems since they can handle a high number of SNMP requests in a reasonable period of time.

While the generation of executable code for explicit associations in UML models is well understood, it is less clear how executable code can be generated if the associations are derived. We discuss how this can be achieved for an important class of derived associations that are defined by means of derivation rules. The result is optimized and executable (as opposed to template) code. The generated code supports semantic reflection, that is, runtime access to the rules used to define the association. We relate these features to use cases from the area of business rules. We also present the Take rule compiler, a Java implementation of the principles discussed.

Interacting with the Web of Things

The increasing demand for rapid software development has led to the growing use of code generators, which significantly accelerate the programming process. This study investigates the impact of code generators on programming resource needs by comparing the time required by programmers of varying skill levels to develop applications using three code generators PHPMaker, PHPRunner, and CakePH versus manual coding with Laravel. Results indicate that code generators allow programmers, regardless of experience, to produce applications more quickly than manual methods. Interestingly, even novice programmers using code generators outperform senior programmers coding manually. This research contributes to the field by providing a clearer understanding of the efficiency gains offered by code generators and suggesting their potential to optimize programming resources in software development. However, the study also highlights the need for future research to evaluate additional factors, such as application complexity and quality, to further refine resource estimation models like SLIM and COCOMO when integrating code generators into the software development process. Keywords: Code Generator, programming resource, software development

A new method “Pretreatment and cycle stream of control” is raised in this paper. It has synthesized the characteristic of software and hardware, and has succeeded in the problem of real time in process of measurment and control by computer had been solved. this core idea of the project research is: the hardware electric circuit cycle in the space region which is distributed to form chain and cycle ( in a nested way ) + the software sentence cycle in the time region which is distinguished by scales == the real time controlled cycl e controlled cycle of Pretreated control stream. Keywords : Real time, Stream of control, Measurment and Control 1. INTRODUCTION In the computer measurement and control, the time hysteresis produced by signal sampling usually induced precision to be not meeting requirement of the meas urement and control. For solve the problem, someone only work on software, but get little results. A control program, optimized to the greatest extent is a instruction which still has the problem of time hysteresis. Given the fact that it's impossible for a practical program to have only one instruction and the various time expenses on the protection and restoration of the site before or after the execution of the program by computer, in most cases the actual time hysteresis of the control program is over several tens of milliseconds, and this is incomparable with the responding speed of the susceptance level of the ha rdware electric circuit (e.g. the responding time of the TTL electric circuit is about 15 ns). If th e measurement or the control object is the mechanical movement at a comparatively high speed (e.g. rotation ) , the minute time hysteresis corresponds with a consider ably large space hysteresis, thus it will be hard to improve the precision of the measurement and control. In order to solve the problem, a certain kind of embedded computer, also called the hidden computer was gradually developed since the 1960’s. In the early stage, it is in fact a kind of computer for a special purpose that is specially devised to aim at certain practical use. The responding time has been reduced to the level of millisecond to microsecond. These systems are classified as “strong real time group”. This project adopts a new idea. By using commonly used computers and chips, we conduct research on embedding at the level of plug board and devi se in accordance with signal processing system of full digital signal processing system. Thus the final responding speed can be reduced to sub-microsecond, which will achieve level of “Supper strong real time group”.

Notice of Violation of IEEE Publication Principles<BR><BR>"Sequential Convex Programming for Collaboration of Connected and Automated Vehicles," <BR>by Xiaoxue Zhang, Jun Ma, Zilong Cheng, Frank L. Lewis, and Tong Heng Lee, <BR>in IEEE Transactions on Intelligent Vehicles, Early Access <BR><BR>After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE’s Publication Principles. <BR><BR>This paper contains significant portions of original text from the paper cited below. The original text was copied without attribution (including appropriate references to the original author(s) and/or paper title) and without permission. <BR><BR>"Networked Model Predictive Control for Vehicle Collision Avoidance" <BR> by Bassam Alrifaee, <BR>in RWTH Aachen University, Dissertation, 04 May 2017 <BR>BR>"Sequential convex programming MPC for dynamic vehicle collision avoidance" <BR>by Bassam Alrifaee, Janis Maczijewski, Dirk Abel, <BR>in the Proceedings of the IEEE Conference on Control Technology and Applications, 2017, pp. 2202-2207 <BR><BR> <br/> This paper investigates the collaboration of multiple connected and automated vehicles (CAVs) in different scenarios. In general, the collaboration of CAVs can be formulated as a nonlinear and nonconvex MPC problem. Most of the existing approaches available for utilization to solve such an optimization problem suffer from the drawback of considerable computational burden, which hinders the practical implementation in real time. This paper proposes the use of SCP, which is a powerful approach to solving the nonlinear and nonconvex MPC problem in real time. To appropriately deploy the methodology, as a first stage, SCP requires linearization and discretization when addressing the nonlinear dynamics of the system model adequately. Based on the linearization and discretization, the original MPC problem can be transformed into a QCQP problem. Besides, SCP also involves convexification to handle the associated nonconvex constraints. Thus, the nonconvex QCQP can be reduced to a quadratic programming (QP) problem that can be solved rather quickly. Therefore, the computational efficiency is suitably improved despite the existence of nonlinear and nonconvex characteristics, whereby the implementation is realized in real time. Furthermore, simulation results in three different scenarios of autonomous driving are presented to validate the effectiveness and efficiency of our proposed approach.