An Improved Stock Price Prediction using Hybrid Market Indicators

In this paper the effect of hybrid market indicators is examined for an improved stock price prediction. The hybrid market indicators consist of technical, fundamental and expert opinion variables as input to artificial neural networks model. The empirical results obtained with published stock data of Dell and Nokia obtained from New York Stock Exchange shows that the proposed model can be effective to improve accuracy of stock price prediction

Assessment of Vehicular Pollution of Road Side Soils in Ota Metropolis, Ogun State, Nigeria

Vehicular emission has been found to constitute one of the major sources of soil pollution. We have investigated the influence of vehicular emissions on the accumulation of heavy metal in the roadside soils of Ota metropolis, Ogun State, Nigeria. The main objective of this research was to determine the impact of heavy metals such as copper, cadmium, lead, manganese, nickel and sulphate from vehicular pollution on soil around Ota. Seven locations were selected on the basis of their high concentration of vehicular traffic. Three sites with low traffic concentration were also selected outside the seven locations to act as control sites. Samples were taken in a period of three months in the dry season. The concentrations of five heavy metals and sulphate in the samples were determined with an atomic absorption spectrometer. The concentrations of the heavy metals from the seven main sites were higher than in the control sites. The concentration of each heavy metal and sulphate in the seven locations was below the European Union regulatory standard. Although these concentration are below the European Union regulatory standard, these heavy metals and sulphate, which over time are washed by erosion into the local areas used for farming, may pose health hazards. The enhancement of fuel quality and the adoption of emission standards to mitigate the impact of vehicular emissions on human health should be made mandatory

PQ TREES, CONSECUTIVE ONES PROBLEM AND APPLICATIONS

A PQ tree is an advanced tree–based data structure, which represents a family of permutations on a set of elements. In this research article, we considered the significance of PQ trees and the Consecutive ones Problem to Computer Science and bioinformatics and their various applications. We also went further to demonstrate the operations of the characteristics of the Consecutive ones property by simulation, using high level programming languages. Attempt was also made at developing a PQ tree–Consecutive Ones analyzer, which could be instrumental not only as an educative tool to inquisitive students, but also serve as an important tool in developing clustering software in the field of bioinformatics and other application domains, with respect to solving real life problems

Development of Electronic Government Procurement (e-GP) System for Nigeria Public Sector.

Business-to-business electronic procurement success in business organizations (private sectors) has been a major driving force for government organizations (public sectors) in developed nations to adopt electronic government procurement in order to reduce cost and improve administrative efficiency. E-procurement within the government is recognized to be the main area of government-to-business that needs to be exploited by government of developing nations. In this paper, we examined the drawbacks of existing procurement process in Nigeria with a view to offering an improved approach. A prototype e-GP system was designed and developed to eliminate the associated bottlenecks with existing system and showcase the attendant benefits of the proposed system which can lead to an improved procurement cycle process flow

Lessons from Applying XP Methodology to Business Requirements Engineering in Developing Countries Context

Most standard software development methodologies are often not applied to software projects in many developing countries of the world. The approach generally practice is close to what eXtreme Programming (XP) is likely promoting, just keep coding and testing as the requirement evolves. XP is an agile software process development methodology that has inherent capability for improving efficiency of Business Software Development (BSD). XP can facilitate Business-to-Development (B2D) relationship due to its customer-oriented advocate. From practitioner point of view, we applied XP to BSD and result shows that customer involvement has positive impact on productivity, but can as well frustrate the success of the project. In an effort to promote software engineering practice in developing countries of Africa, we present the experiment performed, lessons learned, problems encountered and solution adopted in applying XP methodology to BSD

Stock Price Prediction using Neural Network with Hybridized Market Indicators

Stock prediction with data mining techniques is one of the most important issues in finance being investigated by researchers across the globe. Data mining techniques can be used extensively in the financial markets to help investors make qualitative decision. One of the techniques is artificial neural network (ANN). However, in the application of ANN for predicting the financial market the use of technical analysis variables for stock prediction is predominant. In this paper, we present a hybridized approach which combines the use of the variables of technical and fundamental analysis of stock market indicators for prediction of future price of stock in order to improve on the existing approaches. The hybridized approach was tested with published stock data and the results obtained showed remarkable improvement over the use of only technical analysis variables. Also, the prediction from hybridized approach was found satisfactorily adequate as a guide for traders and investors in making qualitative decisions

Research trends on CAPTCHA: A systematic literature

The advent of technology has crept into virtually all sectors and this has culminated in automated processes making use of the Internet in executing various tasks and actions. Web services have now become the trend when it comes to providing solutions to mundane tasks. However, this development comes with the bottleneck of authenticity and intent of users. Providers of these Web services, whether as a platform, as a software or as an Infrastructure use various human interaction proof’s (HIPs) to validate authenticity and intent of its users. Completely automated public turing test to tell computer and human apart (CAPTCHA), a form of IDS in web services is advantageous. Research into CAPTCHA can be grouped into two -CAPTCHA development and CAPTCH recognition. Selective learning and convolutionary neural networks (CNN) as well as deep convolutionary neural network (DCNN) have become emerging trends in both the development and recognition of CAPTCHAs. This paper reviews critically over fifty article publications that shows the current trends in the area of the CAPTCHA scheme, its development and recognition mechanisms and the way forward in helping to ensure a robust and yet secure CAPTCHA development in guiding future research endeavor in the subject domain

A Framework for e-Commerce Implementation: Nigeria a Case Study

The advent of the Internet has transformed the business environment in no small measure and has influenced the ways and manner businesses are transacted. This platform has brought about enhanced electronic and mobile business transactions. However, the advent of e-Commerce, m-Commerce or i-Commerce has placed a premium on the participating organisations or nations in terms of provision of the basic infrastructure for a secure, seamless and trusted business environment through the electronic media. This paper presents an exploratory study of the prospects of e-Commerce implementation and the factors inhibiting its growth. A set of questionnaire was designed, administered and analysed based on political, economic, social and technological (PEST) analysis. The PEST analysis is to help review the current practices with a view to developing a framework for Nigeria and other developing nations in Africa. Findings revealed that the Automatic Teller Machine (ATM) is the most widely used medium of e-Payment in Nigeria, which is not very suitable for e-Commerce implementation. Similarly, the Internet penetration is still abysmally low and is one of the major threats to e-Commerce implementation. However, the nascent democracy enjoyed in Nigeria is faced with some teething problems, but it promised with time, relative political stability, direct foreign investment, improved economical atmosphere, improved social services and technological development more than ever witnessed in the country. Therefore, a viable framework for Nigeria and Africa would be such that involves the private and public partnership (PPP). This consortium is expected to provide the platform for access to the Internet and popularize the use of e-Payment among other things

M-Commerce Implementation in Nigeria: Trends and Issues

Nigeria was described as the fastest growing telecoms nation in Africa and the third in the World. The country had experienced a phenomenal growth from a teledensity of 0.49 in 2000 to 25.22 in 2007. This trend has brought about a monumental development in the major sectors of the economy, such as banking, telecoms and commerce in general. This paper presents the level of adoption of ICT in the banking sector and investigates the prospects of m-Commerce in Nigeria based on strengths, weaknesses, opportunities and threats (SWOT) analysis. Findings revealed that all banks in Nigeria offer e-Banking services and about 52% of the offer some forms of m-Banking services. The banks and the telecoms operators have enormous potentials and opportunities for m-Commerce but the level of patronage, quality of cell phones, lack of basic infrastructure and security issues pose a major threat to its wide scale implementation

Vehicular Pollution of Soil in Ota, Ogun State, Nigeria

Vehicular emissions have been found to constitute the major source of environmental pollution. Unfortunately, in most developing countries such as Nigeria, the contribution of vehicular emission to soil pollution and its implication on the environment has not been studied in details. In view of this challenge, the influence of vehicular pollution on the accumulation of heavy metal in the surface soils of the Ado-Odo local government of Ogun State, Nigeria has been investigated.The main objective of this research was to determine the effect of vehicular emissions such as copper, cadmium, lead, manganese, nickel and sulphate on soil around Ota. Seven locations were selected due to the high concentration of traffic experienced in the location and three sites with little or no traffic concentration were also selected within the seven locations to act as a control sites. Samples were taken for the months of December, January and February and one sample was taken from each of the control sites making it a total of 24 samples. The concentrations of copper, cadmium, lead, manganese, nickel and sulphate in the samples were determined by Perkins Elmer 3300 and AA Winlab software. The concentration of the heavy metals from the main sites was higher than the concentration of heavy metals from their respective control samples. The concentration of all the heavy metals in the seven locations were below that of the European union regulatory standard except the values of copper in site C (32.73mg/kg) and site E (34.24mg/kg) which were slightly higher than the 30mg/kg stipulated value for copper. Nickel in site F (51.39mg/kg) was a little higher than the 50mg/kg stipulated the European Union for the concentration of nickel in a safe soil