Tasks scheduling technique using league championship algorithm for makespan minimization in IaaS cloud

Makespan minimization in tasks scheduling of infrastructure as a service (IaaS) cloud is an NP-hard problem. A number of techniques had been used in the past to optimize the makespan time of scheduled tasks in IaaS cloud, which is propotional to the execution cost billed to customers. In this paper, we proposed a League Championship Algorithm (LCA) based makespan time minimization scheduling technique in IaaS cloud. The LCA is a sports-inspired population based algorithmic framework for global optimization over a continuous search space. Three other existing algorithms that is, First Come First Served (FCFS), Last Job First (LJF) and Best Effort First (BEF) were used to evaluate the performance of the proposed algorithm. All algorithms under consideration assumed to be non-preemptive. The results obtained shows that, the LCA scheduling technique perform moderately better than the other algorithms in minimizing the makespan time of scheduled tasks in IaaS cloud

PLASTIC FINANCIAL FRAUD IN THE MOST POPULATED BLACK AFRICA; NIGERIA:THE MITIGATION BASED-ON ONE-TIME PASSWORD

The increase in the use of plastic payment cards in developing nations would surely lead to more Plastic fraud, Thus, there is a there is a need to develop modern more secure systems that could be used to enhance the security of the inherent plastic cards being used today. This project proposes a system that uses the One-Time Password technology to prevent plastic fraud. The project aims at the risk associated with the current use of plastic card increases. The design and the implementation of the One-Time Password serves as an additional means of authentication to the already in use static PIN. The project also provides recommendation to both banks and customers in other to make the use of plastic payment card more secure, as these cards will become more common with introduction of the cashless economy policy by the Central Bank of Nigeria

The Socio-economic and Environmental Implications of Residential Buildings in Proximate Distance to Landfill Site. A Case of Olusosun Landfill, Ojota Lagos

Rapid population growth, urbanization and the associated increase in housing need has lead landfills to compete with residential developments, especially in peri-urban areas of developing countries, including Nigeria. This study explores extensively the socio-economic and environmental impacts of landfill sites on residential buildings, especially those in proximate distance to it, with a focus on the Olusosun landfill in Ojota, Lagos. In achieving this aim, the study examined the socio-demographic characteristics of the residents living in close proximity between 200-500 metres to the landfill site, identified the health and environmental hazards experienced by residents, examined the condition of residential buildings between 200-500 metres to the landfill site and evaluated the relationship between the distance of landfill site and condition of buildings in the study area. The purposive and stratified random sampling method was employed in carrying out the research survey, where Olusosun community was divided into three (3) strata using distance from the dumpsite and population density as criteria adopted by the researcher. Consequently, eighty-two (82) questionnaires were retrieved from the respondents, out of the total eighty-five (85) structured questionnaires administered. Descriptive statistical tool was used to analyse the perceptions of the respondents. However, the study revealed that several socio-economic, environmental and health implications arise as a result of this haphazard development, these include; thermal discomfort, diseases, low rental value of residential buildings, poor aesthetic value and water contamination. Also, the result from the Crosstab and Chi-Square test concluded that there was no enough evidence to suggest an association between distance of landfill and building conditions in the study area. The study, therefore recommends that there should be proper monitoring and robust waste management strategy, social inclusion in waste management, promote health and safety, harness other waste disposal methods, provide legal structures/institutions on waste management, climate change mitigation and safeguarding the environment for sustainability. Keywords: socio-economic, environmental, residential buildings, proximate distance, landfill DOI: 10.7176/JEES/9-6-10 Publication date:June 30th 201

Towards a digital policing in developing nations : the Nigerian context

Technology-assisted living is a growing trend in most developing nations, particularly for young-aged demographic countries, as it presents a platform for personal development and knowledge management. However, this societyscaping trend has also introduced the myriad opportunity for the formation of complex crime, which is often beyond the (immediate) capability of the policing entity in developing nations. To address this lingering and futuristic problem, particularly in Nigeria, this study developed a context-based digital policing framework for the enhancement of the Nigerian Police. This Nigerian-context framework presents the viability and relevance of the digital policing mechanism in addressing challenges ravaging society. Furthermore, it also presents a modality for improving and enhancing the policing apparatus of the Nigerian society, as a model for other developing nations. The knowledge from the Nigerian-context of digital policing has both research and societal implications. In terms of research, it opens the community of security researchers into the contextual characteristics of digital policing as well as the probable research direction required to implement digital policing in developing nations. With respect to society, knowledge provides a substratum for the integration of the community-policing model.https://www.ijitee.orgpm2020Computer Scienc

Negative selection algorithm in artificial immune system for spam detection

Artificial immune system creates techniques that aim at developing immune based models. This was done by distinguishing self from non-self. Mathematical analysis exposed the computation and experimental description of the method and how it is applied to spam detection. This paper looked at evaluation and accuracy in spam detection within the negative selection algorithm. Preliminary result or classifier of self and non-self was carefully studied against mistake of assumption during email classification whereby an email was recognized as a spam and deleted or non-spam and accepted carelessly. This process is called false positive and false negative. Given a threshold, the accuracy increase with increased threshold to determine best performance of the spam detector. Also an improvement of the false positive rate was determined for better spam detector

Emotionally intelligent chatbots-designing for empathy and emotional support: A review

The integration of emotional Intelligence into chatbots for empathy and support has brought dramatic development to many sectors. The development has led researchers to continue experimenting and studying diverse design techniques (novel and existing) to find the method(s) that best suit the building of emotionally intelligent chatbots. To address this challenge, this paper provides a reviewed literature that extracted features such as the work done, findings, limitations, and the design techniques adopted to either improve an existing model or design a new model. Findings from the reviewed papers indicate that the reviewed paper mostly used the sequence-to-sequence (seq2seq) model framework while incorporating it with other design techniques to improve on the seq2seq model. This is done based on the domain the model is built. However, other design techniques adopted by other reviewed papers are conditional variational auto-encoder, transformers, and a host of others. Although the researchers also incorporated other models with their main design technique to have a better system model

TASKS SCHEDULING TECHNIQUE USING LEAGUE CHAMPIONSHIP ALGORITHM FOR MAKESPAN MINIMIZATION IN IAAS CLOUD

ABSTRACT Makespan minimization in tasks scheduling of infrastructure as a service (IaaS) cloud is an NP-hard problem. A number of techniques had been used in the past to optimize the makespan time of scheduled tasks in IaaS cloud, which is propotional to the execution cost billed to customers. In this paper, we proposed a League Championship Algorithm (LCA) based makespan time minimization scheduling technique in IaaS cloud. The LCA is a sports-inspired population based algorithmic framework for global optimization over a continuous search space. Three other existing algorithms that is, First Come First Served (FCFS), Last Job First (LJF) and Best Effort First (BEF) were used to evaluate the performance of the proposed algorithm. All algorithms under consideration assumed to be non-preemptive. The results obtained shows that, the LCA scheduling technique perform moderately better than the other algorithms in minimizing the makespan time of scheduled tasks in IaaS cloud