The waste materials from the palm oil and coconut oil production from the palm tree and coconut tree respectively are the husks which is an embodiment of the fibre and the kernel which is the hard portion of the seeds. These waste materials are used essentially as sources of fuel, cellulosic value addition to food supply chain, combustion agents, forages, mulching agents and in the making of industrial substrates or feedstock for production processes and as such is the pulp synthesis from these wastes for the manufacture of paper in the pulp and paper industry. The Collection of palm and coconut husks is realized from the local market in Mkpat Enin Local Government area, Akwa-Ibom state, Nigeria where they are widely grown especially in Ukam and Ete communities in the region. The palm and coconut husks are collected as wastes after the processing of the oil palm seeds and coconut to palm oil and coconut fruits respectively and they are left as agricultural wastes. The husks are properly washed and fed for milling of the feedstock so as to allow the bulkiness of the fibre to be exposed and moisture content to flow out so as to enhance extraction of the pulp from the feedstock. The method introduced in the extraction process in a bid to address the heterogeneity of the material is the depithing technique whereby the fibre extraction is improved for effective grades of paper to be realizable on the long run in the production process. The Extraction process is going to be a synergy of crushing using a crusher so as to allow the feedstock to have a larger surface area and then steaming in a hot pot where it is partitioned for the steam to pre-treat and decontaminate it and after that where screening takes so as to remove the unwanted materials for the pulping operation in a bid to enhance its quality. Bio-pulping is adopted in this research where lignin degrading fungi (oyster mushroom) is introduced into the chamber where so as to promote the degradation of the lignin contents of the pre-treated palm and coconut husks and expose the abundant cellulosic value of the feedstock and get it ready for high quality paper production. As a finishing step to the pulp making, chlorine is applied to bleach the pulp produced to set it up as an intermediate product which is required in the making of paper since the pulp is an intermediate for paper making from raw materials required in the pulp and paper industry. Further steps will be done in the industry as electricity will be used to refine the pulp in the refiner unit when chemical pulping processing is adopted while mechanical pulping processing only involve subsequent steps like stock preparation (using steam and electricity), forming (using electricity), pressing (using steam and electricity) and drying (using steam and electricity) to produce the end product called paper.
Modern application development and deployment are generally based on cloud architecture infrastructure that provides flexibility, scalability and cost efficiency. This article provides research to help users choose the best cloud infrastructure architecture for modern applications. Examines the key elements, advantages and best practices of cloud architecture, focusing on cost efficiency, scalability and flexibility. The use of microservices architecture, continuous integration and deployment, and best practices and the need for separation of applications are also discussed in this article. Additionally, attention is drawn to the difficulties and important points that should be considered when choosing the best architecture. These include weighing trade-offs, addressing infrastructure complexity, and resolving specific challenges presented by cloud-native applications. In both individual and corporate elections, different approaches should be evaluated and the best decision should be made.
Abstract: A multiplexer (switching device) is the most frequently used combinational circuit and it is an important building block in many digital systems which is commonly used in our day-to-day life in landline telephone networks and the Cable TV. Artificial Neural Network emulated multiplexers (neuronal multiplexers) are neural network model that mimics the way a human brain works by selecting the best conditions in the input signals of a physical multiplexers, train neurons to behave exactly like multiplexers. It is made up of a number of nodes that are organized in several layers that must follow the artificial neural network routing algorithm. The training of the neurons will base on the back propagation algorithm with several training parameters that will be presented to the neurons. The input layers of neurons feeds the input variables into the network through the hidden layers or processing elements which send the processed signal to the output layers. This can be implemented on a real television cable network with billions of nodes[ neural netwok input nodes]. If this is achieved, we will experience a more reliable television cable networks on reliable secured protocols. This network will be more efficienct than the conventional network. There will not be signal lost on the network because of various signal routes of the same class of nodes. Network breakdown might be impossible with this because any breakdown on the network presents the next possible route on the same network[artificial intelligent learning]