Browsing by Author "Emuoyibofarhe, O. J."

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An electronic shopping system with a recommendation agent
(2009) Ojo, A. K.; Emuoyibofarhe, O. J.; Emuoyibofarhe, O. N.; Lala, O. G.; Chukwuemeka, C. U.
There is an inevitable need to improve the operation portfolio of the boutique, and erase problems like time consumption, inconsistency and a host of other problems encountered by most business enterprises. This research study focused on the design of a web based shopping system. The reason for the development of this system is because every shopping software system is precipitated by some business need which are: the need to correct a defect in an existing application, the need to adapt a legacy system to a changing business environment, the need to extend the functions and features of an existing application or the need to create a new product, service or system. A feasibility study was carried out through interviewing an entrepreneur (business proprietor) in order to acquire knowledge about the mode of operation of the boutique; also specialists in the field of fashion designing were interviewed to acquire knowledge that will be used by the proposed software agent to give recommendations online. The existing system was studied and deficiencies such as long queues, customer dissatisfaction and staff impatience, as well as the need for customers to get professional guidance. The Scripting language used for developing the database is MYSQL, and the application used in developing the database for this site is an SQL application called SQLYOG and it is compactable with MYSQL Server which is either wamp, xammp or zends. The system accepts input from the user whether an administrator or a customer, processes the input i.e. (carries out the required action on the input collected as specified by the system design) and produces an output (either a completed transaction report and receipt or an outfit recommendation). Interfaces were designed using PHP on Dreamweaver platform. MySQL Query Language on SQLYOG platform was used as a database tool to develop, organize and store all vital details about customers, suppliers, sales, product, and product categories. The proposed system is designed in a bid to improve speed, accuracy, storage capability, customer satisfaction, job flexibility for the staff as well as shopping flexibility for the customer and consistency in the boutique; it can be used by trained personnel as well as for general public due to its simplicity. This work elaborates on the implementation and use of software agents in global transaction i.e. people can transact from the various locations and their goods are delivered at their doorstep enabling them to save time and the stress involved in physically doing the shopping.
A performance analysis of delta and huffman compression algorithms
(2009) Oke, A. O.; Fakolujo, O. A.; Emuoyibofarhe, O. J.
With the recent trend in Information and Communication Technology, Storage and Transfer of data and Information are two vital issues which have Cost and Speed implication respectively. Large volume of data (text or image) is constantly being processed on the internet or on a Personal Computer, which has led to the Upgrade of current System. Hence, the need for compression, which reduces storage capacity and effect Speed of transfer. Data Compression is the act of reducing the size of a file by minimizing redundant data. In a text file, redundant data can be frequently occurring characters or common vowels. This research involves a comparative performance analysis of Huffman and Delta Compression schemes. A compression program is used to convert data from an easy-to-use format (ASCII) to one optimized for compactness. Huffman and Delta algorithms were implemented using C#. Result was also presented on the efficiency of the former based on three parameters: the number of bit, compression ratio and percentage of compression. It was discovered that Huffman algorithm for data compression performs better, since it can store / transmit the least number of bits. The average compression percentage for Huffman and Delta algorithm was found to be 39% and 45% respectively. Which simply implies that for a large text file, Huffman algorithm will achieve a 39% reduction in the file size and as such increase the capacity of the storage medium.