ABSTRACT Social networking systems have found their way into all sectors of life. With the advent of social coding platform like GitHub, networks of developers can be inferred based on the projects they participated in. When a new project is created by a developer on such social coding platforms, these platforms lack the capacity to recommend potential collaborators. Recommender systems are software techniques and tools that give item suggestions to users who might be interested in such an i...
ABSTRACT Access to the Internet is becoming more affordable especially in Africa and with this the number of active social media users is also on the rise. Twitter is a social media platform on which users post and interact with messages known as "tweets". These tweets are usually short with a limit of 280 characters. With over 100 million Internet users and 6 million active monthly users in Nigeria, lots of data is generated through this medium daily. This thesis aims to gain insights from ...
ABSTRACT A Hybrid Cloud refers to a cloud computing environment that provides pay-as-you-go services to users using the integration of public and private clouds resources. Cloud computing is one of the latest areas in the field of Information Technology (IT) with a promising future. There are predictions that in no distant future, many users will simply go in for cloud computing services as the users will only “Pay-as-they-go” without incurring the cost of the equipments they use or the ...
Abstract Network – On – Chip (NoC) communication architecture have emerged as a solution to problem of lack of scalability, clock delay, lack of support for concurrent communication and power consumption exhibited by the shared bus communication approach to System - On - Chip (SoC) implementations. However, a NoC communication requirement such as bandwidth is affected by architecture parameters as topology, routing, buffer size etc. In this project, we implement an adaptive approach of N...
Abstract A huge amount of data is generated on daily basis. The generated data can be both structured and unstructured data. The sources from which most of the unstructured data are found are the dailies, social networks (posts from Facebook, tweeter, etc.), event reporting (for example recounting an accident), etc. One of the biggest challenges in Big Data analysis is the use of unstructured data. There is need to structure the corpus so as to permit analysis and one of the approaches for s...
ABSTRACT Road Accidents are on the rise due to the high amount of migration from the rural area to the urban areas, Urbanization people are now finding it easier to own cars and use it for their day to day activities. Due to that reason the amount of Road Accident has also risen to all-time highs with estimate of 2000 deaths in four months around the country. Although we record such amounts of Accidents we are not able to learn from them and try to make changes with the same Roads claiming l...
ABSTRACT Due to the vast amount of data that is being generated by the sensors through the smart devices in smart cities, streams of data must be processed in real time to gain insight quickly and to make decisions that are in most cases critical and time sensitive. The difficulty is diminished by using big data methods such as Cassandra, Hadoop, Kafka and Spark to perform real-time stream processing in an Internet of Things (IoT) environment, such as traffic monitoring in a smart city envir...
ABSTRACT The Heart Disease according to the survey is the leading cause of death all over the world. The health sector has a lot of data, but unfortunately, these data are not well utilized. This is as a result of lack of effective analysis tools to discover salient trends in data. Data Mining can help to retrieve valuable knowledge from available data. It helps to train model to predict patients’ health which will be faster compared to clinical experimentation. A lot of research has been ...
Abstract The Java programming language is widely used in industry and business. Therefore, academic institutions worldwide include Java learning as a basic part of their Computer Science and Engineering curricula. At the same time, smart devices have become popular among university learners. This research tries to take advantage of this fact to promote Java learning. The main problem is that we cannot compile Java programs on smart devices due to the technical limitations of such devices. Th...
ABSTRACT In different parts of the world especially African and Asian continents, students attend classes and taught in groups using the same method of teaching applied to all students irrespective of whether or not they have the same method of taking and assimilating information (learning style). This contributed negatively towards the development of educations in some countries of those continents. To tackle such problems, an intelligent and adaptive learning system should be the focal poi...
ABSTRACT Energy efficiency is paramount in the quest to achieve sustainable development in the 21st century. Statistics in recent research have shown that in many sectors in any nation’s economy, which include buildings, industries and transportation, energy consumption in buildings accounts for about 77%, a higher percentage than other sectors in Nigeria; the same is true worldwide. Energy consumption forecasting is a critical and necessary input to planning and monitoring energy usage, w...
Abstract The use of malicious software (malware) as an instrument for carrying out different criminal activities both organised and non-organised have become the major threat faced by today’s world of connectivity. Frequency and complexity of such cyberattacks makes it difficult for computer antivirus companies to efficiently handle the high value of the new malwares released using traditional approaches that depends mainly on signature. As a result, machine learning approaches are now the...
Abstract Due to the growing demand for Cloud Computing services, the need and importance of Distributed Systems cannot be underestimated. However, it is difficult to use the traditional Message Passing Interface (MPI) approach to implement synchronization, coordination,and prevent deadlocks in distributed systems. This difficulty is lessened by the use of Apache’s Hadoop/MapReduce and Zookeeper to provide Fault Tolerance in a Homogeneously Distributed Hardware/Software environment. In this...
ABSTRACT DEVS Modeling & Simulation separates a model from its simulator. A DEVS model describes the structure and the behavior of a system, while a DEVS simulator generates the trajectories of these descriptions through execution threads. The goal of a DEVS standard is to provide a simple and mostly automated way of executing simulations that involve remote and/or heterogeneous DEVS models. This can be achieved by taking two different approaches, which are simulator-based interoperability ...
Abstract There have been several improvement in object detection and semantic segmentation results in recent years. Baseline systems that drives these advances are Fast/Faster R-CNN, Fully Convolutional Network and recently Mask R-CNN and its variant that has a weight transfer function. Mask R-CNN is the state-of-art. This research extends the application of the state-of-art in object detection and semantic segmentation in drone based datasets. Existing drone datasets was used to learn seman...