Time-offset interaction applications (TOIA) allow simulating conversations with people who have previously recorded relevant video utterances, which are played in response to their interacting user. TOIAs have great potential for preserving cross-gen
erational and cross-cultural histories, online teaching, simulated interviews, etc. Current TOIAs exist in niche contexts involving high production costs. Democratizing TOIA presents different challenges when creating appropriate pre-recordings, designing different user stories, and creating simple online interfaces for experimentation. We open-source TOIA 2.0, a user-centered time-offset interaction application, and make it available for everyone who wants to interact with people's pre-recordings, or create their pre-recordings.
This study aimed to clarify the concept of cloud computing, their
characteristics and components, as well as the advantages and
disadvantages of the applications made available ways to take
ح .advantage of the Library environment
This study came
out with a set of the results which demonstrated
the importance of cloud computing to libraries by providing large
storage areas and expenditures, and the possibility to take
advantage of them do not require high skills, experiences.
problems relating of information security and privacy is a challenge
in dealing with them
This project aims at introducing the concept of Infrastructure as code, one of the most important and current trends in information technology, which was introduced in 2011 by the latest Amazon cloud platform. To recognize this concept, "Terraform" o
ne of the most important IAC tools, has been used with one of the most famous cloud computing platforms "OpenStack" . This project is in line with new concepts and is a simple reference for our fellow students if they want to research and study topics related to these concepts .
In this thesis an analytical study is done on existing cloud
resource allocation strategies and a comparative study summarize
them on the basis of technique used and objective as well as their
advantage and disadvantage.
With the rapid growth of the size of the data stored in the cloud systems, the need for
effective data processing becomes critical and urgent. This research introduces a study of
the most important characteristics of databases management systems: H
ive, SQLMR, and
MariaDB Galera. Hive is a cloud database management system. SQLMR is a hybrid
system, which depends on the integration between the cloud and traditional systems
capabilities. While MariaDB Galera is a traditional database management system
developed to cope with the cloud characteristics. In this research, we show the most
important developments that have been on those systems, and then we compare their
performance in data processing based on the execution time of query operations with the
change of the volume of data. That is to identify the performance of those systems
practically and to know the developing requirements for access to optimized data
management system, and to help users in the selection of the database system that achieves
their requirements in terms of availability and scalability.
In this paper, comparisons between several mathematical interpolation methods applied on high accuracy and huge laser clouds which only represents the DTM. In order to implicate the aforementioned, a group of a variety of Laser Scanned Areas has been
chosen to represent different types of terrain including complex and flat terrain, taking into account that man-made features are not involved in this study and that different Laser Clouds density is used to make the study more general.
A different set of algorithms were applied to conclude which one is more suitable. This step was followed by the comparison between different interpolation results. The results have shown that the Points'
Density has a great impact on a manner in which the optimal interpolation method is applied.
Moreover, it has proven that the Nearest Neighbor Algorithm is the best applied method compared with the other alternatives
