6,502 research outputs found
Vehicle Accident Alert and Locator (VAAL)
An emergency is a deviation from planned or expected behaviour or a course of event that endangers or adversely affects people, property, or the environment. This paper reports a complete research work in accident (automobile) emergency alert situation. The authors were able to programme a GPS / GSM module incorporating a crash detector to report automatically via the GSM communication platform (using SMS messaging) to the nearest agencies such as police posts, hospitals, fire services etc, giving the exact position of the point where the crash had occurred. This will allow early response and rescue of accident victims; saving lives and properties. The paper reports its experimental results, gives appropriate conclusions and recommendations
Analysis of Capacity Limitation in Nigerian GSM Networks and the Effects on Service Providers and Subscribers
The performance of GSM network is measured in terms of KPIs (Key Performance
Indicators) based on statistics generated from the network. The most important of these
performance indicators from the operators’ perspective are BER (bit error rate), the FER
(frame error rate) and the DCR (dropped call rate).
The Dropped Call Rate (DCR) is a measure of the calls dropped in a network as it gives a
quick overview of network quality and revenues lost. This makes it one of the most
important parameters in network optimization. At the frame level in the NMS (Network
Management System), the DCR is measured against the Slow Associated Control Channel
(SACCH) frame. If the SACCH frame is not received, then it is considered to be dropped
calls.
For this work data was acquired form the Network Management System of various GSM
operators in Nigeria (e.g. MTN, Celtel, Globacom etc.). The acquired data was analyzed
to statistically illustrate the extent of revenue that is lost as a result of dropped calls and
the consequent impact on the customers/subscribers
On the Power Spectral Density of the GSM Signaling Scheme
In this paper, the Power Spectral Density of encoded Gaussian Minimum Shift Keying
(GMSK) which is the Signaling Scheme of the Global System for Mobile Communication
(GSM) is derived by a combined approach of the autocorrelation method and Markov
Process. In the analysis, the Amplitude Modulated Pulse decomposition proposed by P.
Laurent is employed to ease computation. Encoding of the message data utilizes
Convolutional Code of rate1/2. Results are for both the uncoded and coded waveform
comparing variation in power spread over a range of frequency
Development of e-SIWES Portal: A Web based Platform for Student Industrial Work Experience Scheme (SIWES) Management
We developed the e-SIWES portal in order to enhance the manual task of carrying out SIWES activities such as registration, dissemination of information, filling of log book for students’ day-to-day activities and supervision/assessment by lecturers and industry based supervisors. The portal is web-based and allows all tasks to be carried out using the personal computer and the Internet. We digitized the SIWES logbook and assessment forms for filling by students and grading by the supervisors electronically. This will allow supervisors to be assigned immediately the students commence their industrial training and facilitate their monitoring in real-time. With the e-SIWES portal, important messages can be broadcast to all students at once and on a prompt and regular basis
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
National Hospital Management Portal (NHMP): a framework for e-health implementation
Health information represents the main basis for health decisionmaking
process and there have been some efforts to increase access to health information in developing countries. However, most of these efforts are based on the internet which has minimal penetration especially in the rural and sub-urban part of developing countries. In this work, a platform for medical record acquisition via the ubiquitous 2.5G/3G wireless communications technologies is presented. The National Hospital Management Portal (NHMP)platform has a central database at each specific country’s national hospita
Managing and Improving Upon Bandwidth Challenges in Computer Network
Managing the bandwidth of a computer network is always faced with great challenges. This research was
necessitated by the urgent need to manage the University network currently experiencing congestion in both the
local LAďż˝ and on the internet backhaul with a view to improving network performance and reduce the huge
recurrent on the WAďż˝ link. However, there exists various ways that have been deployed towards solving these
problems. In this paper we examined existing bandwidth management, effect of limited bandwidth on the
network performance and profound solutions of techniques that enhanced or improved the bandwidth efficiency.
Also, included in this research work are the studies of the effect of limited bandwidth on work load, type of
protocol used and the effect of network congestion on the quality of service of a Wide Area �etwork (WA�). By
comparison, from the modeling of the effect of work load and limited bandwidth on the throughput of a wide
area network based on experimental simulation and real time simulation scenarios, some observations were
made and recommendation of solutions were given from the analyzed results
Automatic Electrical Appliances Control Panel Based on Infrared and Wi-Fi: A Framework for Electrical Energy Conservation
-Today, proprietary home automation targets very specific applications which operate mostly on a
cable based infrastructure. In contrast to that, our implementation builds on a wireless platform for the
automatic control of house hold electrical appliances. The nodes gather sensor readings in a home and
transmit them to a central automation server. There, the readings are matched against a list of script
statements. When there is a match, a specific action is performed. An important property of the system is that
the control of all home appliances is done by means of the ubiquitous Infrared and Wi-Fi wireless
technologies. This way, the co-operation between manufacturers is not a necessity in order to connect
devices to the home automation network
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