Dynamic signature is a biometric modality that recognizes an individual's anatomic and behavioural characteristics when signing their name. The rampant case of signature falsification (Identity Theft) was the key motivating factor for embarking on this study. This study was necessitated by the damages and dangers posed by signature forgery coupled with the intractable nature of the problem. The aim and objectives of this study is to design a proactive and responsive system that could compare two signature samples and detect the correct signature against the forged one. Dynamic Signature verification is an important biometric technique that aims to detect whether a given signature is genuine or forged. In this research work, Convolutional Neural Networks (CNNsor ConvNet) which is a class of deep, feed forward artificial neural networks that has successfully been applied to analysing visual imagery was used to train the model. The signature images are stored in a file directory structure which the Keras Python library can work with. Then the CNN was implemented in python using the Keras with the TensorFlow backend to learn the patterns associated with the signature. The result showed that for the same CNNs-based network experimental result of average accuracy, the larger the training dataset, the higher the test accuracy. However, when the training dataset are insufficient, better results can be obtained. The paper concluded that by training datasets using CNNs network, 98% accuracy in the result was recorded, in the experimental part, the model achieved a high degree of accuracy in the classification of the biometric parameters used.
This paper was motivated by the existing problems of Cloud Data storage in Imo State University, Nigeria such as outsourced data causing the loss of data and misuse of customer information by unauthorized users or hackers, thereby making customer/client data visible and unprotected. Also, this led to enormous risk of the clients/customers due to defective equipment, bugs, faulty servers, and specious actions. The aim if this paper therefore is to analyze a secure model using Unicode Transformation Format (UTF) base 64 algorithms for storage of data in cloud securely. The methodology used was Object Orientated Hypermedia Analysis and Design Methodology (OOHADM) was adopted. Python was used to develop the security model; the role-based access control (RBAC) and multi-factor authentication (MFA) to enhance security Algorithm were integrated into the Information System developed with HTML 5, JavaScript, Cascading Style Sheet (CSS) version 3 and PHP7. This paper also discussed some of the following concepts; Development of Computing in Cloud, Characteristics of computing, Cloud deployment Model, Cloud Service Models, etc. The results showed that the proposed enhanced security model for information systems of cooperate platform handled multiple authorization and authentication menace, that only one login page will direct all login requests of the different modules to one Single Sign On Server (SSOS). This will in turn redirect users to their requested resources/module when authenticated, leveraging on the Geo-location integration for physical location validation. The emergence of this newly developed system will solve the shortcomings of the existing systems and reduce time and resources incurred while using the existing system.
a Technique for Healthcare Approach".In this edition, emphasis has been made on the "Development of Data Mining Model to Detect Cardiovascular Diseases (CVD)".A Software was developed using the internationally accepted Software Engineering Methodology (SSADM), coding by OOP and packing by prototyping methodologies.Among others, this paper discusses; Cardiovascular diseases, Data Mining Algorithm, Analysis and Information flow of the Present System, Data flow and High level flow of the Proposed System, Modulating, System Design and Development, Hardware and Software Specifications, System Testing, Evaluation and Documentation.
The paper worked on deploying expert system and Big Data Analytics to curb maternal and child mortality in Nigeria.. Based on in dept analysis the system revealed the following; Firstly, there is lack of predictive mechanism in place to curb the menace. Secondly, there is absence of mobile application for e-health management system to assist in immediate response. Aim: Is to Design and implement a predictive model that will run analysis of data through hadoop and yran platform and then forecast cases of maternal and child mortality,of which the analysis will be to curb the menace. Methodology, Agile methodology was deployed due to its time to time system architectural adjustment framework by testing the different phases of the program development model. Software employed were, Python, Java Script, and knox programming language then Mongo DB and Mysql for the database development were used.Technique Employed:Data mining technique was adopted. Result: The implementation of this predictive model system produced a predictive decision support through the help of hadoop and yarns. The system was specifically meant to run analysis , which it did and the analysis has helped to curb the menace. The system will run analysis in the pool of data harnessed through Big Data Analytic which brigbed the gap of expert system knowledge base aquistion challenge. After running the analytics the system then sends its updates result findings, in which Doctors and health organizations will rely on for decision making. In fact, the system will dictate upward or downward trends which will prompt the needed decision.
Big data analytics is modern day trend of data implementation. The paper handled the application of data of big data analyticcs to curb maternal and child mortality In Nigeria. Based on the following of the old system reveled; 1. lack of predictive mechanism in place to curb the menace. 2.Lack of skilled attendants at delivery due to lack of predictive mechanism. The aim for this study, is to design and implement a big data analytics system model to curb maternal and child mortality in Nigeria. Methodology, Agile methodology was deployed for architectural framework, and testing of the different phases of the program development model. Technique Employed was Data mining. Resul; The implementation of the system It is expected that at the end of the research, a predictive decision support system would have been designed, implemented and delivered for use by Nigerian medical personnel and their clients. The system will run analysis in the pool of data harnessed through Big Data Analytics. After running the analytics the system then sends its updates result findings, in which Doctors and health organizations will rely on for decision making. In fact, the system will dictate upward or downward trends which will prompt the needed decision. Good programming package such as Python, Java Script, and knox programming language then Mongo DB and Mysql for the database development.
Performance evaluation is essential in maintaining the Quality of Service (QOS) of the Wideband Code Division Multiplexing Access (WCDMA). This work was motivated by the reception of the poor signals, increase call drop, failure rate which was a poor QoS Reception. The aim is to survey WCDMA services in Owerri environs and establish that there are degradation and the level of debasement in the network. The methodology involved an Empirical Analysis through Drive Test across Owerri City in Imo State. The work adopted the empirical approach and deduction of some Standard performance metrics like call drop rate, failure rate, call success rate, call completion rate, Handover success rate and handover Failure Rate, compare with expected KPI(key performance indicator) threshold. From the assessment, it was found that only one out Four Networks (“GLO”) met the target Call Drop Rate (CDR), Call Completion Success rate (CCSR), Call Setup Success Rate (CSSR) and Call Blocked Rate (CBR) and the Handover was better in “GLO” and 9 mobile than in the “MTN” and Airtel.
Multimedia based virtual learning system (MMVLS) is a web-based platform for teaching and learning with a virtual teacher within a virtual classroom. This research was motivated by the problems confronting the traditional institutions of higher learning in Nigeria which include inadequate funding, lack of infrastructures, inadequate teaching and learning facilities, limited slots for admission known as carrying capacity, a limited number of lecturers/instructors in the tertiary institutions in Nigeria. The objective of this research is to develop a multimedia based virtual learning system for Nigerian tertiary institutions to be used in academic processes for teaching and learning. The methodology used is Object Oriented Design Methodology (OODM) with the following web development tools PHP, JavaScript, Bootstrap 3, HTML5, CSS4, Apache, and MYSQL as database. The expected result is a multimedia based virtual learning system for tertiary institutions in Nigeria which is cost effective, innovative, vibrant, individualized, learner-centric, available anytime, any place even with mobile devices. It was concluded that multimedia based virtual learning system is a veritable tool for Nigerian tertiary institutions, which when fully implemented by Nigerian tertiary institutions would help to increase the number of candidates that are given admission into our tertiary institutions and drastically reduce school dropouts as a result of candidates not gaining admission due to insufficient tertiary institutions/carrying capacity.
The study on design and implementation of end to end encrypted Short Message Service (SMS) using hybrid cipher algorithm is motivated by high rate of insecurity of data observed during Short Message Service (SMS) on Mobile devices.SMS messages are one of the popular ways of communication.The aim therefore is to design a software for end to end encryption short message service (SMS) that can conceal message while on transit to another mobile device using Hybrid Cipher Algorithm on Android Operating System and implement it for security of mobile SMS.Hybrid encryption incorporates a combination of asymmetric and symmetric encryption to benefit from the strengths of each form of encryption.Various encryption algorithms have been discussed.Secondary sources were employed in gathering useful data.In this research work three methodologies are employed-Structured System Analysis Design Methodology (SSADM), Object Oriented Analysis Design Methodology (OOADM) and prototyping.With the help of the three cryptographic algorithms employed-Message digest 5 (MD5), Blowfish and Rivest-Shamir Adleman (RSA); integrity, confidentiality, authentication and security of messages were achieved.The messages encrypted by developed application are also resistant to brute force attack.The implementing programs were coded in Java.
The use of mobile applications for healthcare has become a focal point of innovation that could aid patients in their everyday healthcare management. Mobile applications can contribute to increasing the effectiveness and reducing the costs of healthcare delivery as well as preventing illnesses through behaviour change. This paper presents model of an interactive mobile healthcare application that facilitates the needs between doctors and patients. The proposed mobile application will provide optimal communication to several parties in the healthcare sector such as patients, doctors and pharmacists for better healthcare services and delivery. The software development methodology adopted was Object Oriented Analysis and Design Methodology (OOADM). Our mobile application is developed for Android platform and HTML, CSS and JS were used at the front-end while Angula JS, PHP and MYSQL powered the back-end.
This research attempts the implementation of an improved smartphone application for remote system administration. The work was motivated by the inability of network administrators to access their virtual servers from a remote location without worrying about the security implications, inaccurate and unreliable reports from a third party whenever he is out of town. The cloud server can be monitored and administered because various task such as creating users, manage users (grant access, block or delete users), restart server and shutdown server can be handled by the remote system administrator. This will involve of securing the system with a one-way hashing of encrypted password and a device ID for only whitelisted devices to be granted access. It will be observed that remote access for system administration can be implemented using a smartphone app based on a Point-to-Point Protocol and also reveal the advantages of PPP protocol, therefore making the enormous responsibilities of a remote system administrator much easier to accomplish.
Learning abilities vary among individuals, yet schools teach them in one classroom. Managing learning abilities could be difficult. This Online Course Management System integrates learning techniques which addresses this problem. The aim of this work therefore is to develop an adaptative e-Learning Software to enable the learner answer questions or solve problems based on his/her ability. This work is motivated by the need to address deep concern and awareness toward how learners learn best. This study develops an adaptive e-learning platform where the learner is allowed to answer questions or solve problems based on his/her ability or pace. It also provides an online classroom which will run alongside the traditional classroom. The software will adopt the waterfall model. VB.NET, an Object Oriented Programming Language will be used with AJAX and JAVASCRIPT web development tools. Furthermore, this study recommends new strategies & technologies to improve safety, quality, and overall standard of learning amongst learners in educational institutions.
This paper is aimed at designing a dynamic web – based Contract Bidding Information System that will be used to register details online to enable bidding for advertised contracts. It was motivated by the growing recognition of the need to modify bidding operation previously done manually. The Structured System Analysis and Design Methodology (SSADM) was used to develop a contract bidding system. A web – based application will be developed to enable bidders register and submit their biddings online.
The bane of achieving a scalable distributed file sharing system is the centralized data system and single server oriented file [sharing] system.In this paper, the solution to the problems in a distributed environment is presented.Thus, inability to upload sizeable files, slow transportation of files, weak security and lack of fault tolerance are the major problems in the existing system.Hence, the utmost need is to build a client-server network that runs on two or more server systems in order to implement scalability, such that when one server is down, the other(s) would still hold up the activities within the network.And to achieve this reliable network environment, LINUX network operating system is recommended among others as a preferred platform for the synchronization of the server systems, such that every user activity like sending of internal memos/mails, publication of academic articles, is replicated; thereby, achieving the proposed result.Hence, Scalable Distributed File Sharing System provides the robustness required to having a reliable intranet.
Learning Management System (LMS) provides educators, administrators and learners with a single robust, secure and integrated system to create personalized learning environments. This paper was motivated by the lag in technological evolution and traditional learning system in the Educational system in most of the Universities. Hence, a call for a change in the way service is delivered in our tertiary institutions. The work proposed the use of Moodle Learning Management System (LMS) as a tool to improve service delivery in tertiary institution. The methodology used was SSADM while the programming used was PHP, HTML, CSS and Ajax. MySQL was for the database design. The expected result was an e-learning site for Computer Science Imo State University Owerri, a platform that increases the possibility of interaction between students and lecturers.
The paper describes an industrial business study carried out to regain the business knowledge embedded in a legacy COBOL application. The aim of this work was to extract out the information required to re- implement the Legacy programs in a new client/server environment. The progress solution is in four step. Firstly, the programs were restructured, secondly the programs were sliced into business logic modules, third the business modules were subjected to a multi view analysis and finally the views were integrated into a unified documentation describing the data, decision and procedural flow of each program slice.
Road Traffic monitoring involves the collection of data describing the characteristic of vehicles and their movement through road networks.Such data may be used for one of these purposes such as law enforcement, congestion and incident detection and increasing road capacity.Transportation is a requirement for every nation regardless of its economy, political stability, population size and technological development.Movement of goods and people from one place to another is crucial to maintain strong economic and political ties between the various components of any given nation among nations.However, there are different modes of transportation and the most paramount one to human beings is road transportation.Due to increase in the modes of transportation, road users encounter different problems such as road blockage and incidents.Therefore there is need to monitor users incidents and to know the causes.Road traffic monitoring can be done manually or using ICT devices.This paper focuses on how the use of ICT devices can enhance road traffic monitoring.It traces the brief history of transportation; it equally discussed road traffic and safety, tools for monitoring road traffic, Intelligent Transportation Systems (ITS) use for traffic monitoring and their benefits.The result shows that the use of ICT devices in road traffic monitoring should be a Millennium Goal for all developed and developing countries because of its numerous advantages in the reduction of the intensity of traffic and other road incidents.
The present internet version which was established and consolidated over internet protocol version 4 (IPV4) in 1981, and whose amount of public addresses available is insufficient to meet the demands explosion and current internet multimedia devices, services and application intensive environment has posed serious problems of incomplete web transactions. Stakeholders and communication industry in Nigeria are unwilling and feel reluctant to migrate to IPV6 because of inhibiting factors. This needs urgent redress to overcome the tractions that are responsible for apathy to migration from IPV4 to IPV6 launched in 1994 by the Internet Engineering Task Force (IETF). If nothing is done, sometime, internet may run out of space, ARIN [1]. Users may suffer disillusionment and frustration. The objective of this study therefore is to design a model for predicting migration from IPV4 to IPV6 in Nigeria by 2027 based on growth trend developed from statistical indices. The essence is to explore and analyze the factors that can encourage migration to IPV6 in the next 10 years and use those factors to forecast growth, so that IPV6 will receive boost in terms of growth and patronage. The study also aims at designing a predictive model that simulates the behaviour of the restrictive policies on migration to 1PV6 so as to ascertain the current impact on non-motivation and unwillingness to migrate to IPV6 in Nigeria. The motivation behind this study is to identify the inhibiting factors responsible for lack of motivation to migrate from IPV4 to IPV6 in Nigeria. The methodologies that were deployed in packaging the model include the statistical methodology, Structured Systems Analysis and Design Methodology (SSADM) and prototyping. The result is indeed functional software, programmed through Visual Basic. Net. (VB.Net) that can be used to simulate the behavioural impact of any government policy formulation for Telecommunication industry and stakeholders.
This research work aims at modelling a framework for Private Cloud infrastructure Deployment for Information and Communication Technology Centres (ICTs) in tertiary institutions in Nigeria. Recent researches have indicated that cloud computing will become the mainstream in computing technology and very effective for businesses. All Tertiary Institutions have ICT units, and are generally charged with the responsibilities of deploying ICT infrastructure and services for administration, teaching, research and learning in higher institution at large. The Structured System Analysis and Design Methodology (SSADM) is used in this research and a six-step framework for a cost effective and scalable Private cloud infrastructure using server virtualization is presented as an alternative that can guarantee total and independent control of data flow in the institutions, while ensuring adequate security of vital information.
Most network service providers like MTN Nigeria, currently use two-factor authentication for their 4G wireless networks. This exposes the network subscribers to identify theft and users data to security threats like snooping, sniffing, spoofing and phishing. There is need to curb these problems with the use of an enhanced multi-factor authentication approach. The objective of this work is to create a multi-factor authentication software for a 4G wireless network. Multi-factor authentication involves user’s knowledge factor, user’s possession factor and user’s inherence factor; that is who the user is to be presented before system access can be granted. The research methodologies used for this work include Structured System Analysis and Design Methodology, SSADM and Prototyping. The result of this work will be a Multi-factor authentications software. This software was designed with programming languages like ASP. NET, C# and Microsoft SQL Server for the database.
This study investigated the role of Information and Communications Technology in an enhanced banking operation using Diamond Bank Plc, Imo State as a case study. The study was motivated by the fact that most industries, financial institutions rely on gathering, processing, analyzing, and providing information in order to meet the needs of customers. It was based on data primarily, collected from both the primary and secondary sources which seek to investigate role of Information and Communications Technology in the banking industry. This piece of work, through direct investigation, interviews and questionnaires used to examine the role of Information and Communication Technology, plays in the banking industries and how it has affected the employment generation in the industries. It was gathered that ICT has positively affected the bank, the employees and the customers. The result also shows the application has improved banking services, maintained high level of proficiency and efficiency, reduced the long time spent on queues and brought about increase in employment opportunities.