scholarly journals Penerapan CFTT untuk Pengujian Aplikasi Web-Based Android Analysis Tools (WAAT) dengan Federated testing

2021 ◽  
Vol 8 (2) ◽  
pp. 870-879
Author(s):  
Yasir Muin ◽  
Yudi Prayudi ◽  
Fietyata Yudha

Perkembangan smartphone membuat aktivitas manusia lebih muda, dengan fitur-fitur yang diberikan, perkembangan tersebut tidak menutup kemungkinan dengan kecanggihan fitur smartphone dimanfaatkan sebagai media komunikasi untuk mendukung bentuk aksi kejahatan. Proses investigasi forensik dalam penanganan barang bukti elektronik pada smartphone menjadi sebuah tantangan bagi ahli forensik karena perkembangan smartphone yang terus berkembang. permasalahan yang dihadapi oleh ahli forensik adalah sulit menentukan tools forensik yang harus digunakan dalam penanganan barang bukti karena beberapa aplikasi yang dikembangan belum diuji dengan standar forensik. untuk itu dalam penelitian ini akan dilakukan pengujian aplikasi web based android analysis tools berdasarkan standar computer forensics tools testing menggunakan aplikasi federated testing. pengujian ini dilakukan untuk mengetahui kelayakan aplikasi web based dengan melakukan evaluasi data antara hasil pengujian web based dan hasil pengujian federated testing. dari hasil evaluasi tersebut didapatkan bahwa aplikasi web based masih lebih rendah dibandingkan dengan federated testing karena pada aplikasi web based hanya mampu menghasilkan empat variabel data yang sama dengan laporan federated testing, sedangkan data lainnya belum di support oleh aplikasi tersebut, sehingga dapat dapat disimpulkan bahwa aplikasi web based android analysis tools ini belum memenuhi syarat standarisasi cftt.

2011 ◽  
pp. 2400-2415 ◽  
Author(s):  
Lambertus Hesselink ◽  
Dharmarus Rizal ◽  
Eric Bjornson ◽  
Sandy Paik ◽  
Raj Batra ◽  
...  

Cyberlab is a fully automated, Internet accessible laboratory for use in research and teaching, developed at Stanford University since 1996. Cyberlab is a completely self-contained system including a web-based scheduler, analysis tools, a data acquisition system, a digital notebook, extensive collaboration tools including simultaneous access to the equipment by multiple students, extensive security features, including firewall compliance without the need for IT intervention. The system is easily scalable and can be integrated with other distance learning programs.


2018 ◽  
Vol 19 (1) ◽  
Author(s):  
Gue-Ho Hwang ◽  
Jeongbin Park ◽  
Kayeong Lim ◽  
Sunghyun Kim ◽  
Jihyeon Yu ◽  
...  

Author(s):  
Carson C. Calhoun ◽  
Chelsea E. Stobbart ◽  
Danielle M. Thomas ◽  
James A. Villarrubia ◽  
Donald E. Brown ◽  
...  

2020 ◽  
Author(s):  
Brian Day ◽  
Emily Law ◽  

<p><strong>Introduction:</strong>  In its investigations of the planet Mercury, NASA’s MESSENGER returned an immense amount of data detailing the dynamic surface of our solar system’s innermost planet. As the European and Japanese space agencies prepared for the launch of BepiColombo, the next mission to explore Mercury, BepiColombo’s project science team asked NASA to produce a new portal within the Solar System Treks suite (https://trek.nasa.gov) featuring data returned by MESSENGER from Mercury. This new portal would be used both for mission planning and for public outreach by the BepiColombo mission. While initially populated with Messenger data, the portal is also being designed to facilitate visualization, analysis, and dissemination of data from BepiColombo after it commences science operations in orbit around Mercury. The initial release of the Mercury Trek in 2019 shortly followed the launch of BepiColombo on its journey to Mercury.</p> <p><strong>The Mercury Trek Portal:</strong>  The initial release of Mercury Trek in July 2019 featured data products from the Mercury Dual Imaging System (MDIS) instrument that operated aboard NASA’s MErcury Surface, Space ENvironment, GEochemistry and Ranging (MESSENGER) mission while in orbit around Mercury from 2011 to 2015. These products include the MDIS Global Mosaic, MDIS BDR Global Mosaic, MDIS Color Global Mosaic, MDIS MD3 Color Global Mosaic, MDIS Enhanced Color Global Mosaic, MDIS LOI (low-incidence angle) Global Mosaic, MDIS Global Digital Elevation Model (DEM), and MDIS Color Hillshade Global map derived from the DEM. An updated release in June 2020 featured enhanced search capabilities, an updated user interface, the option to have user interface control labels in either English or Japanese, and the addition of numerous new data products. These include high resolution MDIS mosaics, DEMs, and slope data for selected regions, and gravimetric maps including crustal thickness, gravity anomaly, gravity degree strength, and gravity disturbance. Also included are 1:5M geologic maps for the Beethoven, Discovery, Kuiper, Michaelangelo, Shakespeare, Tolstoj, and Victoria regions.</p> <p>Mercury Trek’s data visualization capabilities make it easy to stack and blend different data layers in order to optimize depictions of a wide variety of surface features. Data products can be viewed in equatorial, or polar projected views, or on an interactive 3D globe. The Trek interface allows the user to maneuver a first-person visualization of “flying” across the surface of the Mercury.</p> <p>Analysis tools make it easy to measure distances (either straight-line or along a user-defined path) and to create elevation profiles for surface features. Users can draw user-defined bounding boxes across Vesta’s terrain to generate STL or OBJ files for 3D printing. They can also draw a freehand path anywhere across the surface and have Vesta Trek return a QR code that can be scanned into a smartphone (Android or iOS). The smartphone can then be placed into a pair of inexpensive cardboard-compatible goggles. The user will then be able to fly their defined path in virtual reality.</p> <p>We intend to continue working with the BepiColombo mission and the greater planetary science community to enhance the new Mercury Trek portal with additional data products, and solicit suggestions from the community.</p> <p><strong>One Component in an Integrated Suite:</strong>  Mercury Trek is one of a growing number of portals in NASA’s Solar System Treks Project, available at https://trek.nasa.gov. NASA's Solar System Trek online portals for lunar and planetary mapping and modeling provide web-based suites of interactive data visualization and analysis tools to enable mission planners, planetary scientists, students, and the general public to access mapped data products from past and current missions for Mercury, the Moon, Mars, Vesta, Ceres, Titan, seven of Saturn’s smaller icy moons (Dione, Enceladus, Iapetus Mimas, Phoebe, Rhea, and Tethys), Ryugu, and Bennu. As web-based toolsets, the portals do not require users to purchase or install any software beyond current web browsers. These portals are being used for site selection and analysis by NASA and a number of its international partners, supporting upcoming missions.</p> <p><strong>Acknowledgements: </strong>The authors would like to thank the Planetary Science Division of NASA’s Science Mission Directorate, the Science Engagement and Partnerships Division of NASA’s Science Mission Directorate, and the Advanced Explorations Systems Program of NASA’s Human Exploration and Operations Mission Directorate for their support and guidance in the development of the Solar System Treks.</p>


2020 ◽  
Vol 245 ◽  
pp. 05013
Author(s):  
Joshua Heneage Dawes ◽  
Marta Han ◽  
Giles Reger ◽  
Giovanni Franzoni ◽  
Andreas Pfeiffer

VyPR (http://pyvypr.github.io/home/) is a framework being developed with the aim of automating as much as possible the performance analysis of Python programs. To achieve this, it uses an analysis-by-specification approach; developers specify the performance requirements of their programs (without any modifications of the source code) and such requirements are checked at runtime. VyPR then provides tools which allow developers to perform detailed analyses of the performance of their code. Such analyses can include determining the common paths taken to reach badly performing parts of code, deciding whether a single path through code led to variations in time taken by future observations, and more. This paper describes the developments that have taken place in the past year on VyPR’s analysis tools to yield a Python shell-based analysis library, and a web-based application. It concludes by demonstrating the use of the analysis tools on the CMS Experiment’s Conditions Upload service.


GigaScience ◽  
2019 ◽  
Vol 8 (7) ◽  
Author(s):  
Ken Youens-Clark ◽  
Matt Bomhoff ◽  
Alise J Ponsero ◽  
Elisha M Wood-Charlson ◽  
Joshua Lynch ◽  
...  

Abstract Background Scientists have amassed a wealth of microbiome datasets, making it possible to study microbes in biotic and abiotic systems on a population or planetary scale; however, this potential has not been fully realized given that the tools, datasets, and computation are available in diverse repositories and locations. To address this challenge, we developed iMicrobe.us, a community-driven microbiome data marketplace and tool exchange for users to integrate their own data and tools with those from the broader community. Findings The iMicrobe platform brings together analysis tools and microbiome datasets by leveraging National Science Foundation–supported cyberinfrastructure and computing resources from CyVerse, Agave, and XSEDE. The primary purpose of iMicrobe is to provide users with a freely available, web-based platform to (1) maintain and share project data, metadata, and analysis products, (2) search for related public datasets, and (3) use and publish bioinformatics tools that run on highly scalable computing resources. Analysis tools are implemented in containers that encapsulate complex software dependencies and run on freely available XSEDE resources via the Agave API, which can retrieve datasets from the CyVerse Data Store or any web-accessible location (e.g., FTP, HTTP). Conclusions iMicrobe promotes data integration, sharing, and community-driven tool development by making open source data and tools accessible to the research community in a web-based platform.


Author(s):  
Georges Pierre Schmartz ◽  
Fabian Kern ◽  
Tobias Fehlmann ◽  
Viktoria Wagner ◽  
Bastian Fromm ◽  
...  

Abstract RNA sequencing data sets rapidly increase in quantity. For microRNAs (miRNAs), frequently dozens to hundreds of billion reads are generated per study. The quantification of annotated miRNAs and the prediction of new miRNAs are leading computational tasks. Now, the increased depth of coverage allows to gain deeper insights into the variability of miRNAs. The analysis of isoforms of miRNAs (isomiRs) is a trending topic, and a range of computational tools for the analysis of isomiRs has been developed. We provide an overview on 27 available computational solutions for the analysis of isomiRs. These include both stand-alone programs (17 tools) and web-based solutions (10 tools) and span a publication time range from 2010 to 2020. Seven of the tools were published in 2019 and 2020, confirming the rising importance of the topic. While most of the analyzed tools work for a broad range of organisms or are completely independent of a reference organism, several tools have been tailored for the analysis of human miRNA data or for plants. While 14 of the tools are general analysis tools of miRNAs, and isomiR analysis is one of their features, the remaining 13 tools have specifically been developed for isomiR analysis. A direct comparison on 20 deep sequencing data sets for selected tools provides insights into the heterogeneity of results. With our work, we provide users a comprehensive overview on the landscape of isomiR analysis tools and in that support the selection of the most appropriate tool for their respective research task.


2007 ◽  
Vol 33 (13) ◽  
pp. 1057-1059
Author(s):  
K. D. Dimakopoulos ◽  
D. G. Papageorgiou ◽  
I. N. Demetropoulos

2008 ◽  
Vol 2008 ◽  
pp. 1-9 ◽  
Author(s):  
Grier P. Page ◽  
Issa Coulibaly

Microarrays are a very powerful tool for quantifying the amount of RNA in samples; however, their ability to query essentially every gene in a genome, which can number in the tens of thousands, presents analytical and interpretative problems. As a result, a variety of software and web-based tools have been developed to help with these issues. This article highlights and reviews some of the tools for the first steps in the analysis of a microarray study. We have tried for a balance between free and commercial systems. We have organized the tools by topics including image processing tools (Section 2), power analysis tools (Section 3), image analysis tools (Section 4), database tools (Section 5), databases of functional information (Section 6), annotation tools (Section 7), statistical and data mining tools (Section 8), and dissemination tools (Section 9).


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