Psychosocial well-being and the sexual behaviour of orphaned adolescent males in Bizana local municipality
- Authors: Gqumani, Phumlani
- Date: 2020
- Subjects: Teenage boys -- Psychology Youth -- Sexual behavior -- South Africa
- Language: English
- Type: Thesis , Masters , MSoc. Sci (Psychology)
- Identifier: http://hdl.handle.net/10353/18118 , vital:42234
- Description: The aim of the study was to explore the relationship between the psychosocial wellbeing and the sexual behaviour of orphaned adolescent males. The rationale of the study was to determine out whether the relationship exists between psychosocial wellbeing of orphaned adolescent males and their sexual behaviour (e.g. multiple sexual partners, sexual debut, and unprotected sex). The sample size of the purposively selected participants constituted 201 participants from Grade 07 to Grade 12. The study took place from Bizana Local Municipality, Eastern Cape. The researcher used Statistical Package for Social Sciences. The descriptive analysis and inferential statistics were used to analyse the data. Some of the findings of the study included the following From the hypotheses I drink alcohol and I watch pornography and that is how I learned to have sex, it became apparent that adolescent males who drink alcohol, watched pornography. The alternative hypothesis was confirmed with 8.5% of adolescent males drink alcohol and watch pornography compared to 8.0% who do not drink alcohol but watch pornography. There was no relationship between the hypotheses, my friends are aggressive and commit crime and I started having sex at age 13-16 and 17-20 years as 31. 4% of adolescent males who started having sex at the age of 17-20 years, 1.9% have friends who were aggressive and commit crime compared to 2.9% who started having sex at the age of 13-16 years who have friends who were aggressive and commit crime. Based on the findings of the study, it became clear that some adolescent males are resilient despite their social status and the study may be recommended for future studies.
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- Date Issued: 2020
Resource Allocation Framework in Fog Computing for the Internet of Things Environments
- Authors: Vambe, William Tichaona
- Date: 2020
- Subjects: Internet of things Cloud computing
- Language: English
- Type: Thesis , Doctoral , PhD (Computer Science)
- Identifier: http://hdl.handle.net/10353/18498 , vital:42575
- Description: Fog computing plays a pivotal role in the Internet of Things (IoT) ecosystem because of its ability to support delay-sensitive tasks, bringing resources from cloud servers closer to the “ground” and support IoT devices that are resource-constrained. Although fog computing offers some benefits such as quick response to requests, geo-distributed data processing and data processing in the proximity of the IoT devices, the exponential increase of IoT devices and large volumes of data being generated has led to a new set of challenges. One such problem is the allocation of resources to IoT tasks to match their computational needs and quality of service (QoS) requirements, whilst meeting both task deadlines and user expectations. Most proposed solutions in existing works suggest task offloading mechanisms where IoT devices would offload their tasks randomly to the fog layer or cloud layer. This helps in minimizing the communication delay; however, most tasks would end up missing their deadlines as many delays are experienced during offloading. This study proposes and introduces a Resource Allocation Scheduler (RAS) at the IoT-Fog gateway, whose goal is to decide where and when a task is to be offloaded, either to the fog layer, or the cloud layer based on their priority needs, computational needs and QoS requirements. The aim directly places work within the communication networks domain, in the transport layer of the Open Systems Interconnection (OSI) model. As such, this study follows the four phases of the top-down approach because of its reusability characteristics. To validate and test the efficiency and effectiveness of the RAS, the fog framework was implemented and evaluated in a simulated smart home setup. The essential metrics that were used to check if round-trip time was minimized are the queuing time, offloading time and throughput for QoS. The results showed that the RAS helps to reduce the round-trip time, increases throughput and leads to improved QoS. Furthermore, the approach addressed the starvation problem, a phenomenon that tends to affect low priority tasks. Most importantly, the results provides evidence that if resource allocation and assignment are appropriately done, round-trip time can be reduced and QoS can be improved in fog computing. The significant contribution of this research is the novel framework which minimizes round-trip time, addresses the starvation problem and improves QoS. Moreover, a literature reviewed paper which was regarded by reviewers as the first, as far as QoS in fog computing is concerned was produced.
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- Date Issued: 2020