Most UAVs use radio frequency transmission to communicate with the ground station to receive commands and to send data. However, this model of communication restricts the user from being in specific locations and limits the missions to narrow areas. This paper proposes a cloud computing (CC) integration where the UAVs become part of the cloud and can be accessed ubiquitously. This allows UAVs to utilize the web client-server architectures by using the three tier architecture, the application, the service and the data storage. In this architecture, the application layer where the client has a friendly user interface, while the service layer is the UAV server that becomes part of the cloud. UAVs provide their services through uniform interfaces using RESTful HTTP architecture. Finally, the data layer is the layer that not only stores the information of UAVs but also keeps track of their status and changes through the mission timeline.
This research paper examines the effects of the task-based teaching (TBT) methodology on IELTS students' writing skills in the United Arab Emirates, in particular task 2 of the IELTS writing test. The IELTS writing task 2 is evaluated on the basis of IELTS writing task 2 band descriptors, set by Cambridge, which are task-achievement, coherence and cohesion, lexical range and grammatical range and accuracy. The procedure used involves collection of students' writing samples before and after the implementation of TBT, and making comparison of the effects of TBT on the IELTS band descriptors in students' writing scripts. The results of the study revealed that TBT has a positive influence on IELTS students' writing skills in terms of the criteria set by Cambridge, especially in the criteria of task achievement and coherence and cohesion. However, only 2 participants showed improvement in the area of grammatical range and accuracy post TBT methodology.
There are some words or phrases that the translator can't translate into the Target Language according to some differences between the two languages, we call this case Untranslatability. In fact in translation there's nothing that can't be translated, we face difficulties, however; we search for the appropriate strategy to translate the untranslatable word to the nearest meaning.
Human capital development is one of the most important enablers for any organization to achieving a sustainable competitive advantage. Therefore, organizations are interested in adopting various initiatives and mechanisms to support the development of human capital such as transformational leadership style, knowledge management practices and building organizational culture to achieve the development of the companies' human capital. Thus, this research intends to examine the mediating effect of knowledge management and organizational culture on the relationships between transformational leadership and human capital development in the Abu Dhabi emirate.
The UAE's top leadership, in particular 'sheikhs', conduct regular meetings called the Sheikhs' Majlis on a weekly basis during which direct interaction between the people and their rulers is established. The tribal system, long established within the United Arab Emirates, allows for direct contact between leaders and their people on both an individual and collective basis. With an ever increasing population, and level of cultural diversity within the region, the types of individual problems, needs and requirements are changing dramatically. This fact, when considered in conjunction with the growth of the sheikhs' responsibilities within a developing governmental system, situated in very close proximity to less stable nations, poses very difficult questions for the nations rulers; What is the relationship between the operation of the Sheikhs' Majlis and the levels of political stability and national loyalty of Emiratis.
The major topic of concern in this paper is what foreign land acquisition policy the United Arab Emirates can adopt to reduce the long-term risk of food shortage. The purpose of this project proposal is to identify ways in which the United Arab Emirates can improve food security. Regardless of its wealth and advanced technology, it needs to make sure that food shortage is not a problem in the country. The issue at hand is how the agricultural land can be put to good use to solve this puzzling circumstance. Qualitative research methods will be used to carry out our investigation about factors that will give support to the implementation of foreign land acquisition policy in UAE.
The demand for a reliable missile defense system against the pre-emptive threats from adversarial states in addition to vague non?state actors has become very essential in the Middle East region in general and the Gulf Cooperation Council GCC states in particular. Therefore, the significance of developing a missile defense shield has been in priority with the rise of the proliferation of the missiles in the region. However, the two main questions on the development such a defense system are whether it will have cost?effective or will it lead to consequences when the system developed in the GCC and the effectiveness of the integration the system with the likely to face obstacles linked to these states reluctant to integrate military.
The aim of this paper is to address the implications of military National Service for Emirati national security interests.
Many applications in science and engineering require the calculations of derivative models. Computational differentiation is a specialized topic in the applied mathematics and computer science for developing software tools for numerically evaluating the sensitivity derivative models which can be used in the stability and optimizations studies. The sensitivity analysis is commonly used to identify the effects of confusion parameters on the model output. Many studies were carried to generate the sensitivity models for engineering applications. One of the main problems that faced these studies was the memory limitation when working with high orders models. The sensitivity models for high order models present a high nonlinear memory scaling, which significantly affect the memory and the performance of the application. To handle these effects, the proposed research includes significant modification on the OCEA (Object Oriented Coordinate Embedding Algorithm) by taking into account the symmetry and sparsity aspects of high order systems.
Participatory sensing is an emerging concept that integrates crowd-sourced data collection and knowledge discovery of collective behavior. We develop a participatory sensing based system and its methodologies for driving energy efficiency applications. Distance-to-empty (DTE) is the distance an electric or internal-combustion engine (ICE) vehicle can reach before its energy/fuel is exhausted, which is determined by a variety of uncertain factors, ex: driving behavior, types of road, traffic, and vehicle specification. Green telematics aims to optimize the route selection with lower energy consumption. We explore an effective approach that integrates the vehicle data gathered from participatory sensing to provide more accurate personalized DTE prediction and green telematics. Our approach relies on extracting the driver/vehicle/route dependent features and discovering correlations from collective driving data. We present case studies of our results, such as (1) DTE prediction for EVs based on the data of ICE vehicles, (2) route-level energy consumption geo-fencing and planning.
