scholarly journals A New Data Acquisition Client-software Model Used for Mobile Application Analysis

2016 ◽  
Author(s):  
Xiaodong Liu ◽  
Zhiyi Qu ◽  
Ruixiao Zhang
Keyword(s):  
Data Acquisition ◽  
Mobile Application ◽  
Software Model ◽  
Client Software ◽  
Application Analysis

Research on Data Acquisition Scheme in PHM System Based on Data Driven

2017 ◽  
Vol 868 ◽  
pp. 311-315 ◽  
Author(s):  
Zhang Wei ◽  
Zhi Xing Tian ◽  
Nie Xin ◽  
Li Na Hao ◽  
Shu Bing Liu ◽  
...  
Keyword(s):  
Data Acquisition ◽  
Block Diagram ◽  
Data Driven ◽  
C Language ◽  
Opc Server ◽  
Client Software ◽  
Data Acquisition Software ◽  
Acquisition Scheme ◽  
Server Software ◽  
Acquisition Software

In this paper, a kind of data driven PHM system architecture based on data driven is came up; then a field data acquisition scheme which is very important in PHM system is presented; with a case, the block diagram of the scheme realization, which includes OPC server software configurations, and client software development process is shown. In this case, the data acquisition software has been developed by using the C #language and the local database and the data center database has been created to save data. The data acquisition software can read data from the PLC and save data to the database, which provides a stable and accurate data source for PHM system and has good stability and compatibility.

Development of BSP for ARM9 Evaluation Board

2015 ◽  
Vol 4 (3) ◽  
pp. 161
Author(s):  
Vinayak Pandit K. ◽  
Sanket Dessai ◽  
Shilpa Chaudhari
Keyword(s):  
Data Acquisition ◽  
Mobile Application ◽  
General Purpose ◽  
Complex Task ◽  
Control Sequence ◽  
Linux Kernel ◽  
Tool Chain ◽  
Initial Stage ◽  
Evaluation Board ◽  
Developing System

With an increasing usage of ARM9 core for different kinds of applications ranging from data acquisition to Mobile application, there arises the need for developing ARM9 based board. To bring up this board, board supporting package (BSP) is must. Board supporting package virtualizes the platform hardware so that the different drivers can be ported easily on any hardware. The boot loader is the initial stage of firmware, which initializes the hardware components presents on the board. A universal Bootloader is chosen and is to be customized with respect to target board. In the later section bootloader is interfaced to the kernel which is obtained form an authorized distributor under general purpose license. The customized board specific routines as well drivers are ported onto the hardware. Then the compiled kernel image is ported onto the target board using a debugger and SAM-BA utility. Linux kernel has seen major releases; the basic architecture of the Linux kernel has remained more or less unchanged. The latest 2.6 version of Linux kernel is ported onto target hardware. Kernel support for many architectures and high-end I/O devices gives the independence to choose appropriate hardware for developing system. The bootloader customization is the critical step, which involves a lot of modifications in the header files. BSP components such as bootloader, kernel is compiled using GNU tool chain; obtained image is ported on target using debugger. BSP porting is a very complex task, which required knowledge of hardware and software control sequence and boot strategy of the controller.

scholarly journals Systematic Mutation-Based Evaluation of the Soundness of Security-Focused Android Static Analysis Techniques

2021 ◽  
Vol 24 (3) ◽  
pp. 1-37
Author(s):  
Amit Seal Ami ◽  
Kaushal Kafle ◽  
Kevin Moran ◽  
Adwait Nadkarni ◽  
Denys Poshyvanyk
Keyword(s):  
Static Analysis ◽  
Mobile Application ◽  
Application Security ◽  
Android Apps ◽  
Analysis Tools ◽  
Security Research ◽  
Private Data ◽  
Depth Analysis ◽  
Application Analysis ◽  
And Performance

Mobile application security has been a major area of focus for security research over the course of the last decade. Numerous application analysis tools have been proposed in response to malicious, curious, or vulnerable apps. However, existing tools, and specifically, static analysis tools, trade soundness of the analysis for precision and performance and are hence sound y . Unfortunately, the specific unsound choices or flaws in the design of these tools is often not known or well documented, leading to misplaced confidence among researchers, developers, and users. This article describes the Mutation-Based Soundness Evaluation (μSE) framework, which systematically evaluates Android static analysis tools to discover, document, and fix flaws, by leveraging the well-founded practice of mutation analysis. We implemented μSE and applied it to a set of prominent Android static analysis tools that detect private data leaks in apps. In a study conducted previously, we used μSE to discover 13 previously undocumented flaws in FlowDroid, one of the most prominent data leak detectors for Android apps. Moreover, we discovered that flaws also propagated to other tools that build upon the design or implementation of FlowDroid or its components. This article substantially extends our μSE framework and offers a new in-depth analysis of two more major tools in our 2020 study; we find 12 new, undocumented flaws and demonstrate that all 25 flaws are found in more than one tool, regardless of any inheritance-relation among the tools. Our results motivate the need for systematic discovery and documentation of unsound choices in soundy tools and demonstrate the opportunities in leveraging mutation testing in achieving this goal.

scholarly journals A Mobile Acquisition System and a Method for Hips Sway Fluency Assessment

Information ◽  
2018 ◽  
Vol 9 (12) ◽  
pp. 321 ◽  
Author(s):  
Andrea Civita ◽  
Simone Fiori ◽  
Giuseppe Romani
Keyword(s):  
Data Acquisition ◽  
Personal Computer ◽  
Mobile Application ◽  
Signal Analysis ◽  
Three Dimensional ◽  
Motor Task ◽  
Data Sets ◽  
Present Contribution ◽  
Sports Science ◽  
Index Value

The present contribution focuses on the estimation of the Cartesian kinematic jerk of the hips’ orientation during a full three-dimensional movement in the context of enabling eHealth applications of advanced mathematical signal analysis. The kinematic jerk index is estimated on the basis of gyroscopic signals acquired offline through a smartphone. A specific free mobile application is used to acquire the gyroscopic signals and to transmit them to a personal computer through a wireless network. The personal computer elaborates the acquired data and returns the kinematic jerk index associated with a motor task. A comparison of the kinematic jerk index value on a number of data sets confirms that such index can be used to evaluate the fluency of hips orientation during motion. The present research confirms that the proposed gyroscopic data acquisition/processing setup constitutes an inexpensive and portable solution to motion fluency analysis. The proposed data-acquisition and data-processing setup may serve as a supporting eHealth technology in clinical bio-mechanics as well as in sports science.

scholarly journals Analisis Persepsi Pengguna terhadap Kualitas Layanan pada Aplikasi Mobile Transportasi Online

2020 ◽  
Vol 8 (1) ◽  
pp. 23
Author(s):  
Inggar Tri Agustin Mawarni ◽  
Aji Prasetya Wibawa
Keyword(s):  
Mobile Applications ◽  
Mobile Application ◽  
Qualitative Method ◽  
Participant Observation ◽  
Analysis Method ◽  
User Perception ◽  
User Perceptions ◽  
Data Presentation ◽  
Application Analysis ◽  
Transportation Applications

The study was conducted to determine user perceptions of online transportation mobile applications by looking at PlayStore transportation mobile application analysis and user perceptions when using online transportation mobile applications. This research method is a qualitative method. This type of research uses informants, where direct users who use online mobile transportation applications and PlayStore observations as supporters. Data collection techniques carried out in the form of 1) interviews, 2) participant observation, 3) study documentation. The analysis method uses the interactive model of Mile and Hubermen with 4 stages, including collecting data, trying to formulate data or reduce data, after that the data presentation and drawing conclusions. The results showed that online mobile transportation applications have differences in improving service quality and in creating customer satisfaction. However, the observation of user perception shows that the Grab online transportation mobile application is considered to have superior quality and service than the Gojek and OK-Jack online transportation mobile application.

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