An Appraisal of the Duties and Responsibilities of Engineers in Organisational Success
Engineers are individuals who by virtue gotten education and training acquires scientific knowledge and methods in translating engineering designs to Concrete physical facilities.The engineeris an organizational builder who is involved at all the stages of any project from the time the idea of the project is conceived to its final commissioning and operation and maintenance.The work of engineers take into cognizance the various socio - political, economic and engineering factors involved in all the stages of the project and arrive at sound decisions which enables them to offerdeveloping strategies to/make an organization successful in its operations.
Assessing the Environmental and Economic Benefit of Implementing Waste to Energy Technology
The study assesses the environmental and economic benefits of implementing waste-to-energy technology. It utilized a laboratory research method as its study design. Different types of waste were collected and sorted out accordingly. The wastes where then pre-treated for an easy conversion process and eco-friendly. Several methods of waste method, ranging from Anaerobic Digestion, Pyrolysis, Gasification and Incineration. These methods of waste management were all compared and from the result of the analysis, it was noted that the most effective, cost-effective and sentimental friendly is the Anaerobic Digestion and Pyrolysis method. This method converts waste cooking gas, and into electricity without causing damage to the environment. Based on this finding, the study recommended that both government and the society should utilize Pyrolysis and anaerobic digestion method of waste management which is the most effective and cost-effective method of waste management system in managing their menace of waste.
Simulation of storage potentials and trend analysis of water level in shallow unconfined aquifer system of Benin-City and environ, southern Nigeria.
Evaluation of aquifer storage potentials and groundwater level fluxes require analysis of groundwater recharge and discharge rates. Volumetric groundwater budget of the recharge and discharge of the shallow unconfined aquifer system of Benin-City and environ have been simulated using a three-dimensional groundwater flow and a particle-tracking models. This is with a view to elucidating groundwater storage potential water level fluctuations in the area. Nine burrow pit exposures and thirty borehole logs were also studied. Well correlation and geologic cross-sections of the subsurface geology culminated in hydrostratigraphic model, and determination of saturated thickness and lateral extent of aquiferous units. Burrow pit exposures revealed occurrence of surficial reddish lateritic cover underlain by laminated loose sands varying in colour with clay and clayey-sand intercalations. Annual groundwater level fluctuations were 0.85 - 1.25 and 0.82 to 1.60 meters at Ikpoba and Ogba respectively. Thirty-year period groundwater recharge rates from precipitation and river leakage were 0 to 1.075 x 105 m3/day and 02.737 x 105 to 1.114 x 106 m3/day respectively. Groundwater discharge rates through baseflow and evapotranspiration rates were 1.165 x 104 to 4.219 x 106 m3/day and 7.486 x 105 to 3.715 x 107 m3/day respectively. The cumulative groundwater recharge rates (2.73 x 108 m3/day) exceeded the discharge rates (5.07 x 107 m3/day). Hence, the aquifer has very high storage potentials.
Weapon Detection in Surveillance Video
The automatic detection of weapons captured by surveillance settings is essential for speeding the otherwise laborious approach. With use of, UCF Crime which is the largest available dataset for automatic visual analysis of anomalies and consists of real-world crime scenes of various categories. In this paper, we introduce HR-Crime, a subset of the UCF-Crime dataset suitable and use a technique for specified object tracking.
The role of Technology Incubation Centres for Small and Medium Enterprises in Nigeria
In Nigeria, there are expected benefits of the technology Incubation Program for SMEs. Despite the presence of these centers, many SMEs are underperforming. Many incubation centres were established to influence and promote entrepreneurship so that it could add to the economy of a country. However, the performance of these incubators has been less than desirable. The paper, therefore, looks at the role of technological incubator centres in the growth of SMEs in Nigeria. The methodology employed was a cross-sectional survey design. The research was carried out in Lagos State and Abia State. The population for the study was 790 SMEs. Out of that number, 279 were chosen at random. The instrument of data collection was an adapted questionnaire. Ten samples (10% of the sample size) were used to test the reliability of the questionnaire. The Cronbach Alpha Level was 0.79. 250 copies of the questionnaires were coded and used for analysis. To analyze the data, statistical tools like frequency, percentage, mean, and multiple regression analysis were used. The statistical software employed was SPSS version 21. The findings revealed that incubator centers have a positive and significant effect on the profitability of SMEs (= 0.775, t = 24.801, p <0.05). Furthermore, technological incubator centers have a positive and statistically significant effect on the competitiveness of SMEs (=0.775, t = 24.801, p <0.05). The only access to technological facilities had a positive effect on profitability and competitiveness(p <0.05). The study concludes that Technology Incubation Centres play a significant role in Small and Medium Enterprises in Nigeria in the area of profitability and competitiveness. It was recommended that TICs improve their strengths in the area of finance and their skills in collaboration and teamwork.
An Enhanced UTAUT Framework for Student's perception on Acceptance of Educational Games
The rapid improvement of technology and software, combined with the interests of millennials, has led to a boom in the study and development of instructional video games in the 21st century. This boom has led to an increase in the number of millennials interested in these fields. This is due to the fact that games offer a variety of benefits, including the fact that they are pleasant, intriguing, and motivating. A great number of efforts have been started in order to implement this kind of technology into conventional as well as unconventional educational environments. Numerous studies have been conducted on the efficacy of game design; however, academics have paid less attention to other elements that may affect how games are viewed by students. When it comes to information systems, usability research seeks to quantify user experiences with the systems in order to maximise the systems' ease of use or user friendliness, whereas user acceptance research seeks to understand both ease of use and other factors that might affect the user's decision to use the information system. Both types of research are conducted in order to maximise the systems' ease of use or user friendliness. A research model was developed by adding two additional variables, learning opportunity (LO), and enjoyment, with the UTAUT serving as the basis for the construction of the model (Enj).
An In-Depth Review on COVID-19 Infection Count Prediction Using Deep Learning
The COVID-19 pandemic has been one of the most defining factor of the recent decade due to its extreme impact on the world and the people within it. The coronavirus caused a lot of problems at the personal level as well as the economic level. There have been massive losses of life and the governments across the world have been hit very badly and are yet to recover from this pandemic. The main problem that has led to the escalation of the pandemic has been the fact that it was unexpected. The lack of highly accurate prediction approaches led to the medical infrastructure not being able to handle the load of patients. Therefore, there is a need for a methodology that can predict the COVID patient count to adequately prepare the healthcare professionals in advance. The proposed methodology utilizes deep learning in the form of Convolutional Neural Networks and Long Short Term Memory to achieve the prediction of COVID-19 infection count. This approach will be elaborated further in the upcoming editions of this research.
Entrepreneurship as a Solution to Poverty in Nigeria
Regardless of the fact that it is endowed with a variety of earth's assets, Nigeria is still regarded as among the world's most impoverished nations. Also, irrespective of the several programs launched to eradicate poverty, unemployment and poverty still continues to grow rapidly in Nigeria. On the other hand, entrepreneurial development has proven to be a veritable tool that can engender better socioeconomic well-being for business owners, create jobs and improve the standard of living of entrepreneurs. As we argue in this paper, embracing entrepreneurship is the solution to Nigeria's poverty. The population for this research consists of Small business owners in the commercial cities of Aba, and Onitsha Nigeria. Random sampling was used to select 400 business owners from the two cities. The study adopted the stratified-random sampling method to select the respondents. The instrument used for this study was a self-designed questionnaire. A 6-point Likert-type scale was used to find out how people felt about the subject under investigation, with answers ranging from "strongly agree" to "strongly disagree." The pilot study was done by the authors and Drawbridge Automation Ltd., which used 40 small businesses as part of the pilot scheme. The factor analysis test and Component analysis method of data extraction show the average variance extracted was greater than 0.5 for all the constructs. Reliability analysis was used to figure out how reliable the study variables were. Cronbach's alpha reliability values of 0.7 and above were found. It is expected that the tenet of assumption will prove beyond measure the effectiveness of eradicating povert through entrepreneurship in Nigeria
EDMODO Technology as a Tool for Post-Primary Education Development in Nigeria
Edmodo technology has been identified as a social media educational platform that can be used for remote learning between instructors and students. Many studies have been carried out separately to determine Edmodo technological impact, advantages or disadvantages and effectiveness. However, few studies focussed on the factors such as ease of use, usefulness and effectiveness of Edmodo technology together on instructors. The objective of the study is to investigate the ease of use, usefulness and effectiveness of using Edmodo technology by instructors for development of post-primary education in Nigeria. A convenience sampling method was used to select 30 instructors (12 males and 18 females) from six different post – primary education in Ibadan North, Oyo state, Nigeria and a structured questionnaire that included age, year of experience, educational qualification and three researched questions on perception of usefulness, easy to use and effectiveness of Edmodo technology was designed. A descriptive statistics and chi-square at 0.05 significant level were used to analysis the collated data. The result shows that 66.7% instructors’ aged between 25 and 35 years, 33.3% aged between 35 and 45 years, 33.3 and 66.7% had less than five and above five years’ experience, respectively while 23.3, 56.7 and 20% instructors had OND/NCE, B.Sc./B.Ed. and M.Sc./PhD, respectively. The chi-square result shows that Edmodo technology is useful, easy to use and effective tool for development of post-primary education in Nigeria. The use of Edmodo technology in post-primary education should be encouraged within instructors for educational development in Nigeria.