Volume 9 (1) 2015
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Prof. Joseph M. Kizza
|Beyond Today’s Internet: African Participation and Experience of a Smart Future | Abstract
The growth of African science and technology has been hampared by a multitude of problems. From the continentís late start in the race to setting up and obtaining universities with research quality fundamentals to equipment acquisition, lack of capacity, limited research and development resources and most importantly the increasing absence of international research partnerships. The lack of a strong international research partnerships for the African university and research community, the fact that most African universities and research communities are new, most of them less than 50 years in business have exberted the expected academic growth of the African university and research. With all these problems, two solutions are fundamental: a development of a strong government backed funding policy for the African university and research community and strong international partnerships and research infrastructure to support a culture of both applied and fundamental research to drive the badly needed indigineous innovations and development of a knowledge pool of skills for development. Without these, the African university and research will continue to be deligated to the tail end of the world class universities and research communities. This paper focuses on the building of an African international research infrastructure to bring the continent beyond todayís internent to a smart future.|Full-Text|
|Mohsen Nikpoura,Mohammad Reza Karamia, Reza Ghaderic||Affine Graph Regularized Sparse Coding for Robust face recognition |Abstract
Sparse coding is an unsupervised method in which learns sets of over-complete bases to represent data such as image, video and etc. Because of the performance of this method in bag of visual words for image representation, this technique has attracted increasing interest. But in the cases where we have some similar images from the different classes, using the sparse coding method they may be classified into the same class and degrade classification performance. In this paper, we propose an Affine Graph Regularized Sparse Coding (AGRSC) approach for resolving this problem. Specifically, the objective function of sparse coding is incorporated to make the new representations robust to the similar manifold. Experiments on two well-known face datasets show that AGRSC can significantly outperform state-of-the- art methods in classification.
Dahunsi Folasade Mojisola and Kolawole Gbolahan
|Participatory Analysis of Cellular Network Quality of Service |Abstract
This paper proposes a model for crowdsourcing the evaluation of the quality of service (QoS) provided by Mobile Network Operators (MNOs) in cellular data/voice network. It aims to address the gap between the reported technical capabilities of the telecoms infrastructure and the QoS experienced by the user. The analysis is based on sets of location-specific network measurements obtained from mobile devices of volunteer users within the network. A crowdsourcing platform was designed to gather a sufficiently large dataset of measurements obtained from the volunteer mobile devices. The data when was collated, evaluated and analyzed can be compared against the key performance indicators (KPI) benchmarks set by the Nigerian Communications Commission. Using various visualizations, QoS parameters as experienced by the user, cell level measurements, issues related with peak traffic hours are displayed as graphs/ maps/ charts. Finally, several recommendations and suggested further work to make the concept a reality.
|Kamoga Meddy, Emily Bagarukayo, Kanani Ronald, Natugasha Dennis, Arinda Yvonne||Vehicle Speed Tracking and Reporting System for Uganda |Abstract
Uganda is one of the countries with the highest rate of roads accidents. The major cause is over speeding mainly by public transport vehicles. Attempts to curb this down include use of radar speed guns which are used by police traffic officers on roads to track over speeding vehicles. However, this is still a challenge because of the insufficient number of police officers and radar speed guns. Given the above challenges, the vehicle speed tracking system was developed to provide a cheaper and convenient alternative for tracking over speeding vehicles. The different system requirements were determined using questionnaires, interviews, prototyping. During system analysis and design, a context diagram and dataflow diagram were used to create an overview for the system. The system was developed using Java, My Structured Query Language (MySQL) and Hypertext Pre Processor (PHP) programming languages on different android platforms like android SDK and Eclipse. Extensible Mark-up Language (XML) was used to develop system layouts, permissions and to build the main manifest. The designed system was tested and validated and it performed as expected. The designed system is more effective and efficient in tracking and capturing information on over speeding vehicles and reporting to the traffic police automatically.