961,964 research outputs found
Integration of cloud services with Invenio digital library
Project Specification:
Connect Invenio digital library with popular cloud storage services such as Google Drive, Dropbox and Sky Drive.
Abstract:
Cloudutils is a standalone python module which provides an interface to popular cloud storage services (e.g. Google Drive, Skydrive…). It is built on top of the PyFilesystem module. In this project Cloudutils module was developed and used to connect Invenio digital library and popular cloud storage services
Using smartphones as a proxy for forensic evidence contained in cloud storage services
Cloud storage services such as Dropbox, Box and SugarSync have been embraced by both individuals and organizations. This creates an environment that is potentially conducive to security breaches and malicious activities. The investigation of these cloud environments presents new challenges for the digital forensics community.
It is anticipated that smartphone devices will retain data from these storage services. Hence, this research presents a preliminary investigation into the residual artifacts created on an iOS and Android device that has accessed a cloud storage service. The contribution of this paper is twofold. First, it provides an initial assessment on the extent to which cloud storage data is stored on these client-side devices. This view acts as a proxy for data stored in the cloud. Secondly, it provides documentation on the artifacts that could be useful in a digital forensics investigation of cloud services
Evaluation of a hydrographic technique to measure on-farm water storage volumes
Digital terrain models of on-farm water storages are required to assist in accurately measuring the on-farm water balance and water use efficiency components including
storage capacity, inflow, seepage, evaporation and discharge volumes. A hydrographic surveying system combining a high-precision global positioning system (GPS) and a low-cost depth sounder was developed to facilitate the creation of a digital terrain model. The system was validated by comparing the hydrographic terrain model and volume measurements against both a traditional real time kinematic (RTK) land based survey and independent lead line depth measurements. Flat bottomed storage volumes were measured with errors of less than 1 percent using the hydrographic survey technique. A major proportion of the error in small storages was found to be associated with the ability to accurately identify the inflection point between the banks and floor of the storage. However, for larger storages, errors were primarily related to density of sampling points within the storage floor area. Recommendations are provided regarding the appropriate measurement procedures, including sampling point density, for a range of storage sizes
Holographic data storage in a DX-center material
We report on the optical storage of digital data in a semiconductor sample containing DX centers. The diffraction efficiency and the bit-error-rate performance of multiplexed data images are shown to agree well with a simple model of the material. Uniform storage without an exposure schedule is demonstrated. The volume sensitivity is found to be ~10^3 times that of LiNBO3:Fe. The importance of coherent addition of scattered light with diffracted light in holographic data storage is discussed
Digital forensics formats: seeking a digital preservation storage format for web archiving
In this paper we discuss archival storage formats from the point of view of digital curation and
preservation. Considering established approaches to data management as our jumping off point, we
selected seven format attributes which are core to the long term accessibility of digital materials.
These we have labeled core preservation attributes. These attributes are then used as evaluation
criteria to compare file formats belonging to five common categories: formats for archiving selected
content (e.g. tar, WARC), disk image formats that capture data for recovery or installation
(partimage, dd raw image), these two types combined with a selected compression algorithm (e.g.
tar+gzip), formats that combine packing and compression (e.g. 7-zip), and forensic file formats for
data analysis in criminal investigations (e.g. aff, Advanced Forensic File format). We present a
general discussion of the file format landscape in terms of the attributes we discuss, and make a
direct comparison between the three most promising archival formats: tar, WARC, and aff. We
conclude by suggesting the next steps to take the research forward and to validate the observations
we have made
Highly linear, sensitive analog-to-digital converter
Analog-to-digital converter converts 10 volt full scale input signal into 13 bit digital output. Advantages include high sensitivity, linearity, low quantitizing error, high resistance to mechanical shock and vibration loads, and temporary data storage capabilities
Circuitry selectively limits data storage in general purpose computer
Circuitry limits storage in the memory of a stored program general purpose digital computer by permitting storage or writing to certain, specified areas of memory. The limit register used in the computer is easily set under program control, and the memory block size and position is readily changed to suit each specific program
Readout fidelity of coaxial holographic digital data page recording in nanoparticle–(thiol–ene) polymer composites
We report on an experimental investigation of nanoparticle-concentration and thiol-to-ene stoichiometric ratio dependences of symbol error rates (SERs) and signal-to-noise ratios (SNRs) of digital data pages recorded at a wavelength of 532 nm in thiol–ene based nanoparticle–polymer composite (NPC) films by using a coaxial holographic digital data storage method. We show that SERs and SNRs at the optimized material condition can be lower than 1 × 10−4 and higher than 10, respectively, without error correction coding. These results show the usefulness of thiol–ene based NPCs as coaxial holographic data storage media
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