Enhancing Election Monitoring and Observation using E-Messaging Tools

Election monitoring and observation are an integral part of an electoral process. They help to enhance the transparency and credibility of elections as well as the acceptance of results. Challenges faced by election monitoring and observation organizations include: the need for coordination and cooperation among observer groups; the need for follow-up on recommendations made after an election; the need to develop technologies appropriate for assessing e-voting technologies; and the need to develop commonly shared criteria for assessing democratic elections. In addition, challenges peculiar to Nigeria include: difficult terrain, poor Internet coverage, poor electricity and political instability bringing about insecurity. In this paper, we present contemporary e-messaging tools and initiatives that will help to address these challenges and thereby enhance the efficiency of election monitoring and observation missions

An Architectural Framework for Collaboration of Heterogeneous Communication Devices Using WAP and Mobile Device Augmented(MDA)Gateway Integration

Within the last couple of years, the challenge of displaying collaborative multimedia information has become very important with the large diversity of communication devices such as Personal Computers, laptops, notebooks and handheld devices. The shared data and information may be presented with different views depending on the communication device used by a particular collaborator. The use of various web tools (HTML, WML etc) offers some solutions to the problem but if the target application requires more complex features such as rich multimedia data than is manageable using HTML or WML format, something else need to be done. In this paper, we propose a framework that integrates WAP and MDA Gateway to support collaboration among virtual teams and nomadic workers using heterogeneous communication devices. We then discuss an approach for augmenting mobile device small screen capabilities with surrounding large screen display device

Critical Review of Reliability Centred Maintenance (RCM) for Asset Management in Electric Power Distribution System

The purpose of maintenance is to extend equipment lifetime or at least the mean time to the next failure. Maintenance too incurs expenditures that result in very costly consequences when not performed or performed too little, and it may not even be economical to perform it too frequently. Therefore the two costs must be balanced. In the past, this balance had been estimated by extrapolating the experience obtained from existing systems and using the rule - of – thumb methods. Nowadays, the tempo of advanced and softiscated research in that direction has rendered such rule – of – thumb methods obsolete. The literature works describing the reliability centred maintenance methods for managing distribution assets have grown until the papers can now be numbered in thousands. This paper presents critical review of the various existing methods that have been developed by different reseachers and proposes a probabilistic model that will provide a quantitative connection between reliability and maintenance, a link missing in all the heuristic approaches

Defining Language and/or Communication

All the attempts that I have made to request some definitions of language from a few students in a lecture situation as anentry behaviour to an undergraduate introductory course on language or linguistics have met with some difficulty. This is owing to the fact that such definitions of language do not just have much in common with, but also differ from  communication. Yet, there is no line of distinction, more often than not, that is drawn between the two major concepts. As a linguist and a lecturer, I have been very worried quite often concerning not just the content of what I lecture, but also how what I lecture is received and understood by students. In this paper, I examined a number of definitions of language and communication. Firstly, I made an attempt to set apart the characteristics of each of the two concepts. Secondly, and by drawing upon the individual characteristics, I drew the required differences between them. Such a necessary distinction assists the learner, pedagogically, to see each concept clearly as well as set them apart from each other

Vehicle Classification Algorithm using Size and Shape

Automatic classification of vehicles into different classes based on their sizes and shapes is very useful for traffic control and toll collection process. Effective intelligent transportation system that incorporates vehicle classification technique is needed in many cities to prevent road accident and traffic congestion caused by illegal movement of vehicles. This work presents method of getting structural information from detected vehicle images and then uses it to classify vehicles into different classes. The technique involves extraction of contour features from vehicle images side view using morphological operations. The extracted features were combined and used to generate feature vector that serve as input data to vehicle classification algorithm based on Euclidean distance measure. Impressive result was achieved from the proposed vehicle classification method

TEXT CONTENT DEPENDENT WRITER IDENTIFICATION

Text content based personal Identification system is vital in resolving problem of identifying unknown document’s writer using a set of handwritten samples from alleged known writers. Text written on paper document is usually captured as image by scanner or camera for computer processing. The most challenging problem encounter in text image processing is extraction of robust feature vector from a set of inconstant handwritten text images obtained from the same writer at different time. In this work new feature extraction method is engaged to produce active text features for developing an effective personal identification system. The feature formed feature vector which is fed as input data into classification algorithm based on Support Vector Machine (SVM). Experiment was conducted to identify writers of query handwritten texts. Result show satisfactory performance of the proposed system, it was able to identify writers of query handwritten texts

A Neural-CBR System for Real Property Valuation

In recent times, the application of artificial intelligence (AI) techniques for real property valuation has been on the increase. Some expert systems that leveraged on machine intelligence concepts include rule-based reasoning, case-based reasoning and artificial neural networks. These approaches have proved reliable thus far and in certain cases outperformed the use of statistical predictive models such as hedonic regression, logistic regression, and discriminant analysis. However, individual artificial intelligence approaches have their inherent limitations. These limitations hamper the quality of decision support they proffer when used alone for real property valuation. In this paper, we present a Neural-CBR system for real property valuation, which is based on a hybrid architecture that combines Artificial Neural Networks and Case- Based Reasoning techniques. An evaluation of the system was conducted and the experimental results revealed that the system has higher satisfactory level of performance when compared with individual Artificial Neural Network and Case- Based Reasoning systems

Estimating An Optimal Backpropagation Algorithm for Training An ANN with the EGFR Exon 19 Nucleotide Sequence: An Electronic Diagnostic Basis for Non–Small Cell Lung Cancer(NSCLC)

One of the most common forms of medical malpractices globally is an error in diagnosis. An improper diagnosis occurs when a doctor fails to identify a disease or report a disease when the patient is actually healthy. A disease that is commonly misdiagnosed is lung cancer. This cancer type is a major health problem internationally because it is responsible for 15% of all cancer diagnosis and 29% of all cancer deaths. The two major sub-types of lung cancer are; small cell lung cancer (about 13%) and non-small cell lung cancer (%SCLC- about 87%). The chance of surviving lung cancer depends on its correct diagnosis and/or the stage at the time it is diagnosed. However, recent studies have identified somatic mutations in the epidermal growth factor receptor (EGFR) gene in a subset of non-small cell lung cancer (%SCLC) tumors. These mutations occur in the tyrosine kinase domain of the gene. The most predominant of the mutations in all %SCLC patients examined is deletion mutation in exon 19 and it accounts for approximately 90% of the EGFR-activating mutations. This makes EGFR genomic sequence a good candidate for implementing an electronic diagnostic system for %SCLC. In this study aimed at estimating an optimum backpropagation training algorithm for a genomic based A%% system for %SCLC diagnosis, the nucleotide sequences of EGFR’s exon 19 of a noncancerous cell were used to train an artificial neural network (A%%). Several A%% back propagation training algorithms were tested in MATLAB R2008a to obtain an optimal algorithm for training the network. Of the nine different algorithms tested, we achieved the best performance (i.e. the least mean square error) with the minimum epoch (training iterations) and training time using the Levenberg-Marquardt algorithm

CHANGES IN SPERMIOGRAMS, BIOCHEMICAL AND PHYSIOLOGICAL INDICES FOLLOWING SUCCESSIVE ELECTROEJACULATION DURING DIFFERENT PERIODS OF THE DAY IN WEST AFRICAN DWARF BUCKS

This study was conducted to investigate the changes that might occur in spermiograms, blood andphysiological indices following successive electroejaculation (EE) during different periods of the day.Twenty (20) West African Dwarf (WAD) bucks were grouped into four consisting of five bucks eachand ejaculated at 0900, 1200, 0300 and 0600Hrs for 3 successive days in a completely randomizeddesign. The results showed that progressive sperm motility, sperm concentration and mass activityfollowed similar trend and the values deteriorated with respect to elevated temperatures during semencollection periods (p<0.05). Also, primary abnormality increased with respect to elevated temperaturesduring semen collection periods (p<0.05). The results also showed that Testosterone, Na+,K+,GlucoseAlanine Aminotransferase (ALT), Alkaline Phosphatase (ALP) and Aspartate Aminotransferase(AST) were similar irrespective of the periods of semen collection except cortisol that increased withrespect to the semen collection periods (p<0.05). The rectal temperature and pulse rate were not affected,irrespective of the period of the day bucks were ejaculated. The findings of this study indicatethat reduced ejaculate quality probably reflects stress stimuli arising from increased ambient temperature.Physiological traits in WAD goat is probably the adaptive mechanism evolved to cope with stressarising from elevated temperature