The most popular method for studying stability of nonlinear systems is introduced by a Russian Mathematician named Alexander Mikhailovich Lyapunov. His work ”The General Problem of Motion Stability ” published in 1892 includes two methods: Linearization Method, and Direct Method. His work was then introduced by other scientists like Poincare and LaSalle . In chapter one of this work, we focussed on the basic concepts of the ordinary differential equations. Also, we emphasized on relevant ...
Abstract This work presents numerical calculation of electromagnetic waves in unidirectional on-chip silicon optical diodes. An original optical diode, designed by Wang et. al. [Opt. Express. 19, 26948-26955 (2011)], is based on breaking of spatial inversion symmetry and the directional band gap difference of two 2D photonic crystals comprising a hetero-junction structure. The dimensions of our structure are however different from those of Wang et. al. The electromagnetic waves in the diode ...
ABSTRACT In this thesis, a hybrid extragradient-like iteration algorithm for approximating a common element of the set of solutions of a variational inequality problem for a monotone, k-Lipschitz map and common fixed points of a countable family of relatively nonexpansive maps in a uniformly smooth and 2-uniformly convex real Banach space is introduced. A strong convergence theorem for the sequence generated by this algorithm is proved. The theorem obtained is a significant improvement of the...
Malaria is a life-threatening disease and is hyper-endemic in Ghana. The Anopheles gambiae complex is established to contain the main vectors that transmit malaria parasite, Plasmodium falciparum in Sub-Saharan Africa and it has been implicated as the main vector of malaria in Ghana. Vector control remains the most effective measure to prevent malaria transmission. This can largely be achieved by the use of insecticides. However, the effectiveness of insecticide-based vector control is t...
ABSTRACT The Internet of Things (IoT) has generated a large amount of research interest across a wide variety of technical areas. These include the physical devices themselves, communications among them, and relationships between them. One of the effects of ubiquitous sensors networked together into large ecosystems has been an enormous flow of data supporting a wide variety of applications. In this work, we propose a new “IntelliFog-Cloud” approach to IoT Big Data Management by leveragi...
ABSTRACT Wireless sensor network is application specific, which is deployed in an interested area like about hundred or thousands of sensor nodes. All the sensor nodes communicate via a wireless medium and works cooperatively to sense the environment in order to achieve the required task. Such sensor nodes which is application specific needs a good fault tolerance scheme to keep the system working. Since this sensor nodes are battery operated, have a small memory, deployed in harsh environme...
ABSTRACT The basic understanding of the underlying techniques of growing Carbon Nanotubes (CNTs) with a specific chirality is still obscure and needs to be understood so as to properly harness its potentials. Using both Classical Molecular Dynamics (MD) simulation with empirical force fields and a geometry optimization based on ab initio forces, we show that the dynamics involved in the growth of CNT on iron nanoparicles is non linear but complex. For a good geometry, the growth depends on t...
The malaria drug policy for Ghana is chloroquine, Fansidar and quinine as the first line, second line and third line drugs respectively. However, the burden o f malaria has been complicated by the emergence of resistance especially to chloroquine, which is a cheap and effective drug. It has therefore become imperative that the levels o f resistance o f Plasmodium falciparum to anti-malarial drugs (chloroquine and Fansidar) in Ghana be established and the information used to develop an a...
ABSTRACT Ground State structures of neutral Copper clusters CuN=3−6 were generated and optimised within the framework of the Density Functional Theory (DFT) using Generalised Gradient Approximation (GGA) and ultrasoft pseudopotential. The shapes and binding energies of the clusters obtained showed good agreement with other theoretical works, except for the trimer cluster which has the shape of an equilateral triangle rather than the isosceles triangle as reported in previous works. The opti...
Abstract Smart media devices such as: smartphones and tablets are getting more powerful, smarter, cheaper and hence more popular. Recommendation systems become very common in e-business and e-Commerce, for example: Amazon, Google, eBay, Facebook, etc. all are using recommendation systems to promote their business. Recommendation systems are rarely used in learning; however it can be very useful.
ABSTRACT Artificial Neural network (ANN) is an area of computing that is modeled after the neural network of the biological brain and over the last few decades, has experienced huge success in its application in areas such as business, Medicine, Industry, Automotive, Astronomy, Finance, etc. Since Neural Networks are inherently parallel architectures, there have been several earlier researches to build custom ASIC based systems that include multiple parallel processing units. However, these ...
Aqueous crude extract of Desmodium adscendens, as dispensed at the Centre for Scientific Research into Plant Medicine (CSRPM), was freeze-dried into a powder and used in this study to evaluate its toxicological effects in rats. For acute toxicity studies, high doses of the freeze-dried extract, were administered orally as single doses to rats, and the behaviours of the animals and organ toxicity were noted. Low, medium and high doses of the plant extract, representing 3, 10, and 30% of ...
ABSTRACT Recommender systems are web-based platforms or software that use various machine learning methods to propose useful items to users. Several techniques have been used to develop such a system for generating a list of recommendations. Multi-criteria is a new technique that recommends items based on multiple characteristics or attributes of the items. This technique has been used to solve many recommendation problems and its predictive performance has been tested and proven to be more ...
ABSTRACT After many years of rigorous research and development in wireless sensor network (WSN) technology with numerous responses to innovative applications, WSNs still have some interesting unanswered questions. In this thesis we explain the challenges of the state of art in WSN for environmental monitoring applications using open-source hardware platforms, Arduino UNO, DHT11 temperature-humidity sensor, XBee and Raspberry Pi. The system is not only low cost but scalable enough to accept m...
ABSTRACT Research in computer vision and machine learning is a significant part of research in computer science departments of many leading institutions resulting in ideas and products that have direct applications in different industries such as medical image segmentation in the medical industry, and face recognition and tracking in the entertainment and security industry. Face recognition is a significant part of research in computer vision and machine learning and has a wide range of appl...