Cybercrime in Nigeria: An Overview of Cybercrime Act 2013

The paper focuses on cybercrimes in Nigeria, the examples of cybercrimes and also an overview of Cybercrimes Act 2013. Cybercrime are associated with Nigerian for examples email scams, phishing and credit card fraud; the Nigerian banks are susceptible to these attacks. It is evident that many Nigerians, organizations and government are investing significant amount of money in protection their Information communication and technology (ICTs) systems and networks. The increase rises of cybercrimes in the Nigerian cyberspace prove that some organizations are fighting cybercrimes through cyber security experts but only when security is breached or compromise. The recent Cybercrimes Act established by the Nigerian legislation intends to fight cybercrimes in all angles. The Overview of Cybercrimes Act 2013 gives us an inside of the relevancy of the Act to the current issue at hand where the Act dedicated a Part discussing the offences and their penalties in relation to cybercrime. With this Act in operation a roadmap in curbing the menace of cybercrime in Nigeria is captured. The paper will proffer recommendations and conclusions for effective measures for proper implementation and enforcement. Keywords: Cybercrime, examples of cybercrimes, overview of Cybercrime Act 201

Kinetic Study of Calcination of Jakura Limestone Using Power Rate Law Model

The current demand of hydrated lime [Ca(OH)2] worldwide has necessitated investigation into kinetics of calcinations of some large commercial deposits of limestone in Nigeria. The study is aimed at finding kinetic parameters for the purpose of energy saving, lime kiln design, modeling and simulation of lime kiln. In this study, kinetic of Jakura limestone calcination process using power rate law has been investigated. The Jakura limestone has percentage composition of 96.56% of Calcium Carbonate (CaCO3) and the results of its decomposition at different temperature between 800 – 12000C showed that conversion of CaCO3 to quicklime (CaO) increased with increase in reaction temperature and reaction time. It was observed that optimum conversion time within the temperature range studied was 6 hours with maximum conversion of 91.01% achieved at 12000C. The calcination of Jakura limestone was also found to be first order reaction with respect to CaCO3 concentration having average regression coefficient of 0.99. The temperature dependent terms were found using Arrhenius law and it was observed that the reaction temperature has a direct effect on the rate of reaction. The effective values of activation energy and frequency factor were all within the range of literature values and were found to be 121.708kJ/mol/K, and 2.943 respectively

Process intensification of lemon grass oil in a pilot plant

The extraction of essential oil from lemon-grass was carried out using steam distillation in a locally designed and fabricated pilot plant of 100 kg/day capacity. The extraction pattern and economic analysis of the oil extracted were monitored over time. The extraction revealed that 0.414 litres of oil was produced in a day of five batches with a total production cycle per batch of 1.61 hours. The study further revealed that 94.3% of the oil was extracted in 60 minutes. The GCMS result shows the major components in the extracted Lemon grass oil were Oleic acid, Neral and Citral with percentage composition of 25.69%, 19.32% and 15.38% respectively. These percent compositions compare favourably with literature values. The properties of the Lemon grass oil were found to be: specific gravity, 0.8952; iodine value, 120.7g/g; saponification value, 201.3 mgKOH/g and cetane number, 43.7. The economic analysis on a monthly basis revealed a production cost (direct and indirect) of N160,050.00K and the expected net profit of N378,150.00K.Keywords: Essential Oil, Lemon Grass, Extraction, Pilot Plant and Process Intensificatio

Effect of Period and Storage Conditions on Essential Oil Yield And Composition of Eucalyptus Citriodora Leaves

Fresh eucalyptus citriodora leaves were harvested and kept under shade and sun for a period of four weeks. The effect of storage conditions and period of storage on the oil yield, oil composition and extraction pattern of the oil were investigated. It was observed that for the leave kept under sun there was significant decrease in the oil yield from 0.38% in the 1st week to 0.11% in the 4th week. However, for leaves kept under shade the oil yield slightly decreased from about 0.40% in the 1st week to 0.36% in the 4th week. The results further revealed that the storage condition and period of storage had no effect on the extraction pattern of the oil with about 72% of the oil extracted within 40 minutes of extraction time after induction period of 24 minutes. Two mathematical model equations were developed for the prediction of oil yield as a function of storage time for both conditions. The models predicted that for leaves stored in the shade and sun the expected oil yield would be 34.5% and 1% respectively. Physiochemical analysis of the oils revealed that the properties of the oil were not affected by both the period and condition of storage except the colour which changed from pale yellow to light brown. These results imply that the leaves should best be kept under shade before production in order to preserve its oil content and physiochemical properties

Comparative analysis on the user-friendliness between computer and tablet application in the performance analysis of soccer

Variety of applications have been developed over the years to serve as the device for performance analysis in soccer. Computer applications have been utilized to analyze player’s performance long before the discovery of tablet applications. However, for the performance analysis to be more accurate and free from human error, the device used for the analysis need to be user-friendly. The aim of this study is to compare the user-friendliness between computer and tablet application in the performance analysis of soccer. Computer and tablet applications were provided to twenty-five performance analysts. They were asked to analyze the performance of players during a soccer match using the two applications differently. Their opinions were collected using a questionnaire for which application was more user–friendly. Chi-square test for goodness of fit was conducted based on the hypothesis that there was no significance difference in their opinion at a confidence level of p ≤ .05. The results shows the analyst differed in their views, (χ² = (1, N = 25) = 9.00, p < .05). The null hypothesis was therefore rejected, and tablet application was found to be user-friendly in the performance analysis of soccer. Tablet application should be more explored in performance analysis of soccer

Economic Analysis of Production of Essential Oil using Steam Distillation Technology

This paper examines the economical analysis of producing essential oil from leafy part of Eucalyptus citriodora plant using steam distillation technology. The specific objectives were to examine the viability or otherwise of this method of producing essential oil in terms of net profit generated, return on investment and pay back period. The data used in this study were obtained from series of test-run carried out on the fabricated essential oil pilot plant and other input costs were based on the current market price available in Zaria Area Council, Kaduna State. The results showed that the total estimated cost of the pilot plant (direct fixed cost) with capacity to produce 0.864 litres/hour of crude essential oil was N1,453,493:00 and annual operating cost (AOC) of N 4,026,492:00. The plant is expected to produce 840 litres of distilled essential oil per annum with expected annual selling price of N6,300,000:00 and profit after tax (PAT) of N1, 818,806.00 at 20% tax rate. The return on investment (ROI) was 125%, internal rate of return (IRR) of 29.64% and pay back period (PBP) of 0.75 years. From the profitability analysis and measure of return on investment carried out based on the various assumptions and projections made, it was quite obvious that the production of essential oil using steam distillation technology is highly profitable which should be attractive to potential investors. Keywords: Essential oil, Eucalyptus citriodora, Steam, distillation, Economical analysis

Development of LoRa-Sigfox IoT device for long distance applications

A key feature that is required from the IoT-enabled devices is low power and long-range communication. In this paper, a prototype IoT device that is enabled with LoRa and Sigfox communication technology is developed and tested. The prototype device is built using the Pycom Fipy module and tested in a LoRaWAN setup and Sigfox setup. A test was conducted to determine the performance of the LoRa propagation in different environments and at different times of the day. The experimental data shows the coverage and diurnal performance using the IoT device. A distance of 1.17km was achieved in the open space using the LoRa while the propagation was highly impacted in the vegetation area with a distance of.512 km. The test for the Sigfox showed good coverage over a distance of 10 km. The results show the device can be used for both LoRa and Sigfox coverage test

Decision support platform for production of chili using IoT, cloud computing, and machine learning approach

The chili crop is largely grown in several regions of the world, especially in Asian and African countries. It is a major source of income for both small- and large-scale farmers. Unfortunately, chili farmers have to contend with the challenge of pests and diseases and the need for timely decisions to have a bountiful production. To solve this problem, this paper proposes a chili-decision support platform (chili-DSP) that can help farmers detect diseases, and nutrient deficiency and make timely decisions. The proposed system integrates the internet of things, cloud computing, and data analytics technologies. The framework and architecture of the proposed chili-DSP are presented in this paper and the preliminary results using the convolutional neural network (CNN) for the classification of chili are presented. The result shows that CNN provides an accurate prediction of the learned data set and can be extended to larger data set for real-time classification of chili diseases. The chili-DSP is expected to provide a comprehensive feature and support that will help the chili farmers enhance the production of chili while minimizing losses