The corrosion inhibitory potentials of Bamboosa vulgaris leaves extract in 1M HCl solution was studied using gravimetric and gasometric techniques. The results obtained from both gasometrical and gravimetric analysis showed decrease in corrosion rate of mild steel immersed in the 1M HCl solution containing Bamboosa vulgaris leaves extract from the corrosion of the mild steel immersed in the blank uninhibited 1M HCl solution. There was a more pronounced decrease in corrosion rate as the concentration of the plant extract was increased from 200mg/l to 1000mg/l. The decrease in corrosion rate is attributed to inhibition of plant extract on the corrosion of mild steel. Inhibition efficiency of Bamboosa vulgaris leaves extract increased with increase in the concentration of its extract. However the corrosion inhibition properties of Bamboosa vulgaris leaves extract is suggested to be as a result of the formation of a protective shielding layer which might have developed around the metal surface under the corrosive medium conditions owing to the organic nature of the Bamboosa vulgaris leaves extract. The formation of the shielding layer is as a result of Bamboosa vulgaris phytochemical molecules adsorption to the metal surface, forming iron (11) complexes with the metal. The adsorption of the plant extract on the metal surface fitted into Langmuir adsorption isotherm, Freundlich adsorption isotherm, and Temkim adsorption isotherm, but best fitted into Langmuir adsorption isotherm. The calculated values of apparent free energy of adsorption are all negative indicating spontaneous adsorption of Bamboosa vulgaris leaves extract on the metal surface.

In manufacturing industries production scheduling is always a key to the company’s economic growth and profitability. It defines the appropriate timing system for production. It also establish just-in-time system of the company under study. In this research work, the researcher makes use of 36x75x40 size of foam product which was analyzed using response surface, integer programming and linear programming optimization tools to optimize the production output of the product. The result shows that maximum production output of the product using response surface, integer programming and linear programming were 1854 units, 2160.0 units and 2172.7 units respectively over any given monthly production. The results were recommended to the case company for optimum use in scheduling there monthly production output.

Soil investigation reports form basis of decision making in the choice of site and design of foundation, with a view to avoiding failures in foundations. Unfortunately, detailed tests are most often time not carried out either as a result of huge financial involvement or scarcity of good laboratory equipment. The study therefore, establishes relationships between the index properties and the strength (detailed) properties of the tropical soil in the South-east. For the purpose of the study data on the various laboratory tests of the tropical soil samples sourced from different construction sites in the South-east of Nigeria were collated. With the results of the mechanical and physical properties of the respective soil samples eight regression models were therefore formulated, which explain the relationships of the respective soil properties to one another. In order to ensure reliability of the models, tests for significance of coefficients of the respective predictive variables and fitness of the models were carried out hence; only three of them were proven adequate. These final models as (i) YCBR1 = 6.09 + 0.79G - 0.08S + 0.03M - 0.09C + 0.24 LL - 0.30PL (ii) YCBR2 = 0.42 + 0.93G + 0.05M and (iii) Y1UCS = 14.12 + 2.40CBR were finally established. By this development in tropical region of Nigeria, when test values of the index properties are obtained, CBR properties would be calculated using the first model. Having obtained the CBR value, the unconfined compressive strength (UCS) can therefore be calculated using last model. Base on this analysis it is therefore concluded that the Index properties of the soil have significant relationships with its Strength properties.

The paradigm shift of data from static to fast flowing data is an important move in the industry, to accommodate growing size of data. The velocity and volume of data are continuing to expand which has started to make its impact in business and other applications of Big Data. The paper describes the paradigm shift of data from static data to streaming data for data analytics beyond Hadoop. It describes how the first generation of Hadoop applications were largely built for batch-oriented paradigm . Streaming data is essentially different from traditional data handling patterns and comes with its own set of challenges and requirements. New applications such as Storm, Flume, Kafka, and other technologies are evolving to bring in an era of real-time analytics Data is generated incessantly from thousands of sources simultaneously and it can be of various type such as log files, mobile and web data, transaction etc. The sections of my paper are Introduction followed by Streaming data, Hadoop, Streaming data analytics, Apache Spark, Comparing Streaming models and Streaming analytics use cases followed by conclusion. The information presented is from secondary source i.e. journal, conference proceedings and websites.