Abstract - Least squares estimation, a regression technique based on minimisation of residuals, has been invaluable in bringing the best fit solutions to parameters in science and engineering. However, in dynamic environments such as in Geomatics Engineering, formation of these equations can be very challenging. And these constraints are ported and apparent in most program models, requiring users at ease with the subject matter. This paper reviews the methods of least squares approximation and examines a one-step automated approach, through the instrumentality of frames, object oriented programming.
Abstract - Sorting traditionally, is based on a single key algorithm. Even in multi-key situations, the mode of operation centres on one key at a time. Outside this model, the procedure is unsatisfactory making a search for adaptive solution imperative. A case in point is traverse data collection in Geomatics Engineering, where sorting is required for the purpose of reconstructing survey topology. This process has always been fraught, especially in large networks. Thus, this paper discusses the methods and techniques of a successful model sort in synchronised three-key data structures.
Abstract - Standard Deviation is a household statistic, a very important parameter in the analysis of data sets and measurements. Over the decades before the advent of computers, its use is rarely seen outside the confines of scientific laboratories. But the new dawn of data age has transformed its evolution and appreciation as a valuable metric. This paper is a study of Standard Deviation and application in the field of Geomatics Engineering.
Abstract - In a developing society such as Nigeria, hospital consultants are not available in good enough ratio. The result of which is that one consultant may be engaged in up to ten hospitals within the metropolis and therefore unable to rotate his services effectively in order to attend patients in emergency situations. In advanced nations, technology has come to aid further the availability of immediate attention in emergencies. Thus for medical facilities such as ours, rooted in traditional methods, there is urgent need to avail the best in technology to maximise medical care and productivity. This can be achieved through evolutions in GSM, Personal Area Network, within the framework of Telemedicine.
Abstract - Bioinformatics is an emerging field galvanized by intense research in computational and molecular biology. It continues to grow with vast potential for the present and future. As a result, the role of computer science in driving research and results forward remains crucial. Yet this field is barely understood. It is not in the standard domain of course curriculum in many institutions, even at post graduate level. This paper looks at Bioinformatics from the perspectives of Computer Science. In the process, provides entry point and pathways for more active and productive participation.
Abstract - In many a developing country, such as Nigeria, disputes arising from election process can be fraught and common. The lingering nature, controversy all impact adversely on the nation’s body politics. It is evident, the overwhelming number of court cases in the judicial system. Inherent in this situation are long delays and attendant ill effects. With trend in the upward, and no sign of abating, it would be welcome indeed any contributions towards accelerated judgement of court cases in our system. Thus, this paper discusses the concepts of Artificial Intelligence, in application to automated Legal Assistant, as it pertains to the Electoral Act of Nigeria.