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Olisah C.C.,Baze University | Ogedebe P.,Baze University
2016 Information Security for South Africa - Proceedings of the 2016 ISSA Conference | Year: 2016

For humans, every face is unique and can be recognized amongst similar faces. This is yet to be so for machines. Our assumption is that beneath the uncertain primitive visual features of face images are intrinsic structural patterns that uniquely distinguish a sample face from those of other faces. In order to unlock the intrinsic structural patterns, this paper presents in a typical face recognition framework a new descriptor, namely the local edge gradient Gabor magnitude (LEGGM) descriptor. LEGGM first of all uncovers the primitive inherent structural pattern (PISP) locked in every pixel through determining the pixel gradient in relation to its neighbors. Then, the resulting output is embedded in the pixel original (grey-level) pattern using additive function. This forms a pixel's complete structural pattern, which is further encoded using Gabor wavelets to encode the frequency characteristics of the resulting pattern. From these steps emerges an efficient descriptor for describing every pixel point in a face image. The proposed descriptor-based face recognition method shows impressive results over contemporary descriptors on the Plastic surgery database despite using a base classifier and without employing subspace learning. The ability of the descriptor to be adapted to real-world face recognition scenario is demonstrated by running experiments with a heterogeneous database. © 2016 IEEE.


Ahmad F.,Sabanci University | Rashid K.M.A.,Baze University | Rasool A.,Sabanci University | Ozsoy E.E.,University of Johannesburg | And 2 more authors.
COMPEL - The International Journal for Computation and Mathematics in Electrical and Electronic Engineering | Year: 2017

Purpose - To propose an improved algorithm for the state estimation of distribution networks based on the unscented Kalman filter (IUKF). The performance comparison of unscented Kalman filter (UKF) and newly developed algorithm, termed Improved unscented Kalman Filter (IUKF) for IEEE-30, 33 and 69-bus radial distribution networks for load variations and bad data for two measurement noise scenarios, i.e. 30 and 50 per cent are shown. Design/methodology/approach - State estimation (SE) plays an instrumental role in realizing smart grid features like distribution automation (DA), enhanced distribution generation (DG) penetration and demand response (DR). Implementation of DA requires robust, accurate and computationally efficient dynamic SE techniques that can capture the fast changing dynamics of distribution systems more effectively. In this paper, the UKF is improved by changing the way the state covariance matrix is calculated, to enhance its robustness and accuracy under noisy measurement conditions. UKF and proposed IUKF are compared under the cummulative effect of load variations and bad data based on various statistical metrics such as Maximum Absolute Deviation (MAD), Maximum Absolute Per cent Error (MAPE), Root Mean Square Error (RMSE) and Overall Performance Index (J) for three radial distribution networks. All the simulations are performed in MATLAB 2014b environment running on an hp core i5 laptop with 4GB memory and 2.6 GHz processor. Findings - An Improved Unscented Kalman Filter Algorithm (IUKF) is developed for distribution network state estimation. The developed IUKF is used to predict network states (voltage magnitude and angle at all buses) and measurements (source voltage magnitude, line power flows and bus injections) in the presence of load variations and bad data. The statistical performance of the coventional UKF and the proposed IUKF is carried out for a variety of simulation scenarios for IEEE-30, 33 and 69 bus radial distribution systems. The IUKF demonstrated superiority in terms of: RMSE; MAD; MAPE; and overall performance index J for two measurement noise scenarios (30 and 50 per cent). Moreover, it is shown that for a measurement noise of 50 per cent and above, UKF fails while IUKF performs. Originality/value - UKF shows degraded performance under high measurement noise and fails in some cases. The proposed IUKF is shown to outperform the UKF in all the simulated scenarios. Moreover, this work is novel and has justified improvement in the robustness of the conventional UKF algorithm. © Emerald Publishing Limited.


Kyari F.,London School of Hygiene and Tropical Medicine | Kyari F.,Baze University | Gilbert C.,London School of Hygiene and Tropical Medicine | Blanchet K.,London School of Hygiene and Tropical Medicine | And 2 more authors.
British Journal of Ophthalmology | Year: 2017

Glaucoma in Africa is sometimes referred to as the silent thief of sight. In Nigeria, glaucoma is common, it is serious, ophthalmologists face many constraints in managing it, people do not even know they have it until it is advanced, patients do not understand or comply with treatment after they are diagnosed and the poor are more likely to be glaucoma blind. Available evidence indicates that the health system in Nigeria is failing to meet the needs of patients with glaucoma. Based on evidence, we propose future directions for improving services for glaucoma care in Nigeria, and the implications for policy and programmes to control glaucoma blindness, using a health system-oriented approach. Three complementary strategies are required: (i) strengthening clinical services for glaucoma-by developing models of glaucoma care, improving clinical treatment options, making medicines and equipment available, financing glaucoma care and training eye care workers; (ii) introducing initiatives for earlier detection of glaucoma in the clinic and approaches in the community and (iii) strengthening health system governance. Glaucoma is a complex disease to manage and addressing it as a public health problem is challenging. However, we need to change the paradigm to recognise that glaucoma is a potentially avoidable cause of blindness in Africa. © Published by the BMJ Publishing Group Limited.


Okah-Edemoh J.,Baze University
Ubiquitous Learning | Year: 2017

The politics of technology usage has practically led almost every aspect of the today’s society into utilization of digital space and information integration, not leaving out the aspect of learning and education. The e-learning value proposition purports to extend the reach and effectual experience hereby supporting the development and expansion of education. This paper is part of a larger working paper titled “the trend of Ë-learning with Nigerian Universities.” It investigates the criteria used for assessing sustainable development and innovative technology application in education. The research uses mixed methods to compile data and analyzes beyond the PITAD framework to get a robust supposition. The findings revealed that e-learning is a crucial element to the assessment of Nigeria universities by various governing bodies. It also highlights a range of policy implications in the face of a rapidly evolving e-learning environment for sustainable development. © Common Ground Publishing, Joy Okah-Edemoh, All Rights Reserved.


PubMed | Otdel angiologii, Tsentr Diabeticheskaia stopa na baze GAUZ GKB and 5 Kazani and Baze University
Type: | Journal: Khirurgiia | Year: 2015

Developing an algorithm of diagnosis and treatment of wound defects in patients with neuroischemic form of diabetic foot syndrome, study of the effectiveness of collagen implants in closing of wound defects.The paper describes the diagnostic algorithm for patients with wound defects in neuroischemic form of DFS. Wound cleansing from areas of necrosis, purulent-fibrinous plaque, biofilm of the wound was conducted on the day of hospitalization using hydrosurgery ultrasonic cavitation. We propose the method of closing the wound defect with high-tech biomaterials based on type I collagen.Implantation of type I collagen increased the relative rate of wound healing, reduced the amount of high amputation, and significantly reduced the average time of patients stay in hospitals and their transfer to outpatient treatment.1. Patients with neuroischemic form of diabetic foot syndrome should be timely and promptly pass the diagnostic phase. 2. Ultrasonic debridement is most effective method of wound preparation before its closure. 3. The use of bioplastic material Collost in patients with neuroischemic form of diabetic foot syndrome increases the rate of wound healing that leads to decrease the average patients stay in hospital and reduce high amputations. 4. The average patients stay in hospital reduced up to 20% that decreases the treatment costs of such category of patients.


Varghese B.,University of Reading | Mckee G.,Baze University | Alexandrov V.,Barcelona Supercomputing Center
Parallel Processing Letters | Year: 2011

The work reported in this paper is motivated towards validating an alternative approach for fault tolerance over traditional methods like checkpointing that constrain efficacious fault tolerance. Can agent intelligence be used to achieve fault tolerant parallel computing systems? If so, "What agent capabilities are required for fault tolerance?", "What parallel computational tasks can benefit from such agent capabilities?" and "How can agent capabilities be implemented for fault tolerance?" need to be addressed. Cognitive capabilities essential for achieving fault tolerance through agents are considered. Parallel reduction algorithms are identified as a class of algorithms that can benefit from cognitive agent capabilities. The Message Passing Interface is utilized for implementing an intelligent agent based approach. Preliminary results obtained from the experiments validate the feasibility of an agent based approach for achieving fault tolerance in parallel computing systems. © 2011 World Scientific Publishing Company.


Varghese B.,University of St. Andrews | McKee G.,Baze University | Alexandrov V.,Barcelona Supercomputing Center
Computers in Biology and Medicine | Year: 2014

Background: Large-scale biological jobs on high-performance computing systems require manual intervention if one or more computing cores on which they execute fail. This places not only a cost on the maintenance of the job, but also a cost on the time taken for reinstating the job and the risk of losing data and execution accomplished by the job before it failed. Approaches which can proactively detect computing core failures and take action to relocate the computing core[U+05F3]s job onto reliable cores can make a significant step towards automating fault tolerance. Method: This paper describes an experimental investigation into the use of multi-agent approaches for fault tolerance. Two approaches are studied, the first at the job level and the second at the core level. The approaches are investigated for single core failure scenarios that can occur in the execution of parallel reduction algorithms on computer clusters. A third approach is proposed that incorporates multi-agent technology both at the job and core level. Experiments are pursued in the context of genome searching, a popular computational biology application.Result: The key conclusion is that the approaches proposed are feasible for automating fault tolerance in high-performance computing systems with minimal human intervention. In a typical experiment in which the fault tolerance is studied, centralised and decentralised checkpointing approaches on an average add 90% to the actual time for executing the job. On the other hand, in the same experiment the multi-agent approaches add only 10% to the overall execution time. © 2014 Elsevier Ltd.


Dasuki S.I.,Baze University | Abbott P.,Brunel University
Electronic Journal of Information Systems in Developing Countries | Year: 2015

Most existing ICT for development (ICT4D) literature tends to focus mainly on design, transfer and implementation issues. There is limited focus on the impact of ICT projects on development and little concrete analysis of these initiatives in terms of their long-term developmental impact. In this paper, we draw upon Luke's (1974) concept of power and Sen's (1999) notion of capabilities as an evaluative space for ICT project assessment. The novel approach taken from Luke's concept of power with Sen's capability approach attempts to understand the social powers that may inhibit or enable individuals from taking full advantage of ICT resources for furtherance of their lives. The framework's utility is illustrated with a case study based on an empirical work in the Nigerian electricity sector. The combined framework and case study contribute to knowledge on the development of theory and informs practice by offering a novel approach to examining ICT-led developmental projects. The study concludes with some implications for policy makers advancing an agenda on "ICT for Development".


McKee G.,Baze University | Varghese B.,Dalhousie University
IFAC Proceedings Volumes (IFAC-PapersOnline) | Year: 2012

Robotics systems are a recognised part of the human exploration and colonisation of space. Advances in sensor and robotic networks, ambient intelligence and multi-agent systems offer approaches to modelling, implementing and operating robotic ecologies, comprising heterogeneous sets of mobile and embedded robotic devices and sensors, to support space applications, particularly in constructing and maintaining human habitats prior and subsequent to human arrival. This paper proposes a framework for integrating these technologies and techniques. The framework comprises application-level and infrastructure-level components, the former emphasising a model-driven approach supporting cognitive awareness and the latter an autonomic computing approach to self management. The paper provides a first draft of the framework, motivated by a deep space human outpost mission scenario. © 2012 IFAC.


Smith D.K.,Baze University
Journal of the International Academy for Case Studies | Year: 2012

CASE OVERVIEW: This case challenges student to resolve FMCG Nigeria's trucking services-related problems in Nigeria, so as to be able not only to address immediate challenges (including truck availability in a disorganized environment as well as the cost and service quality of the needed trucking services) but also (and far more importantly, in the long run) to be able to double (over the next three years) the volume of the company's business in Nigeria. At first glance, the case looks as if it is all about trucking service contracts; in reality, however, it ends up being all about business process innovation and the importance of viewing challenges and opportunities within the context of a strategic vision for the company. The case is appropriate for senior-level undergraduates as well as students in MBA and Executive Development programs. It is designed to be taught in a one hour and a half class session, and is likely to require at least a couple hours of preparation by students. CASE SYNOPSIS: Mr. Henry Adjai is Supply Chain Manager for FMCG Nigeria, the Nigerian subsidiary of a multinational food manufacturer and marketer. Due to changes in the local environment, the cost of trucking services in Nigeria has increased by as much as 30%. Because FMCG Nigeria already spends more than one billion naira per year on trucking services, and because the company has very aggressive growth plans for its business in Nigeria, and because the company is now in the process of receiving bids from trucking companies to provide trucking services to FMCG Nigeria for the next three years, the Managing Director (M.D.) of FMCG Nigeria has asked Mr. Adjai to develop (as a matter of great urgency) a solution to the trucking servicesrelated problems and opportunities facing FMCG Nigeria.

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