The Design of Convoluted Kernel Architectural Framework for Trusted Systems – CKA

This paper presents the overview of the Convoluted Kernel Architectural framework and a comparative study with the traditional Linux kernel. The architecture is specially designed for trusted sever environment. It has an integrated layer of a customized Unified Threat Management (UTM) and Stealth-Obfuscation OK Authentication algorithm, which is a highly improved and novel zero knowledge authentication algorithm, for secure web gateway to the kernel mode. The framework used is a combined monolithic and microkernel based (hybrid) architecture code-named – the integrated approach, to trade in the benefits of both designs. The architecture serves as the base framework for the Trust Resilient Enhanced Network Defense Operating System (TREND-OS) currently being experimented in the lab. The aim is to develop an architecture that can protect the kernel against itself and applications

No. 17: The State of Food Insecurity in Gaborone, Botswana

The results of AFSUN’s study of the food security situation of the poor in Gaborone show that not everyone is benefitting from Botswana’s strong and growing economy and that many of the urban poor experience extremely high levels of food insecurity. The study, which formed part of AFSUN’s baseline survey of 11 Southern African cities, collected data on a broad range of issues that affect household food insecurity and found that four out of five households in the surveyed areas in Gaborone reported severe or moderate food insecurity. Only 18% were either food secure or mildly food insecure. Income level is a particularly important determinant of food insecurity as most households access food from the marketplace rather than grow their own. The impacts of chronic food insecurity on Gaborone’s population are likely to be considerable unless this problem is urgently addressed. The problem is in some sense invisible because there appears to be no shortage of food in the shops and on the streets of this booming city. The challenge is not one of food supply but food accessibility and food quality. Given that Botswana is one of the most rapidly urbanizing and most urbanized countries in Africa, its example has wider importance for the general study of urban food security on the continent

Detecting Data Leakage in Cloud Computing Environment (A Case Study of General Hospital Software)

Abstract Generally sensitive data are leaked by users or data entry operators and identifying those operators is paramount and should be done at an early stage to forestall any catastrophe

No. 02: The State of Urban Food Insecurity in Southern Africa

The number of people living in urban areas is rising rapidly in Southern Africa. By mid-century, the region is expected to be 60% urban. Rapid urbanization is leading to growing food insecurity in the region’s towns and cities. This paper presents the results of the first ever regional study of the prevalence of food insecurity in Southern Africa. The AFSUN food security household survey was conducted simultaneously in 2008-9 in 11 cities in 8 SADC countries. The results confirm high levels of food insecurity amongst the urban poor in terms of food availability, accessibility, reliability and dietary diversity. The survey provides important insights into the causes of food insecurity and the kinds of households that are most vulnerable to food insecurity. It also shows the heavy reliance of the urban poor on informal food sources and the growing importance of supermarket chains

Automatic gait recognition by symmetry analysis

EThOS - Electronic Theses Online ServiceGBUnited Kingdo

Preliminary Observations from Interactions among Ghanaian Autistic Children and Rosye, a Humanoid Robotic Assistive Technology

Research aimed at exploring the impact and effectiveness of social robots as assistive technologies in autism diagnosis and treatment have been on the rise. However, many of such studies have been undertaken in the Western world, with a few being done in middle to low income countries. As a result, assessing the impact of cultural differences on the acceptance and effectiveness of treatment plans for children on the autism spectrum is quite difficult. Most of the existing robots being used as assistants in autism therapy are in the prototype stage and not accessible to the public; a few on the market are costly and for developing countries, deploying such robots on a large scale to aid these children is not feasible. We have developed a humanoid robot Rosye as part of an ongoing project to research into how robot interventions could be used as therapy assistants for caregivers of Ghanaian autistic children In this paper, we present results from a preliminary experiment involving the novel low cost but friendly humanoid robot, Rosye, and some autistic children in Ghana

Imbalanced class distribution and performance evaluation metrics: A systematic review of prediction accuracy for determining model performance in healthcare systems.

Focus on predictive algorithm and its performance evaluation is extensively covered in most research studies to determine best or appropriate predictive model with Optimum prediction solution indicated by prediction accuracy score, precision, recall, f1score etc. Prediction accuracy score from performance evaluation has been used extensively as the main determining metric for performance recommendation. It is one of the most widely used metric for identifying optimal prediction solution irrespective of dataset class distribution context or nature of dataset and output class distribution between the minority and majority variables. The key research question however is the impact of class inequality on prediction accuracy score in such datasets with output class distribution imbalance as compared to balanced accuracy score in the determination of model performance in healthcare and other real-world application systems. Answering this question requires an appraisal of current state of knowledge in both prediction accuracy score and balanced accuracy score use in real-world applications where there is unequal class distribution. Review of related works that highlight the use of imbalanced class distribution datasets with evaluation metrics will assist in contextualizing this systematic review