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One of the challenges in the operation of Unmanned Aerial Vehicle (UAV) is power optimization under different operation mode. In solving the aforementioned problem, polygamy based selection Genetic Algorithm technique has been proposed in this work. The proposed technique involves parameter initialization, problem coding and optimization. The power requirement is coded as a bit of strings subject...
This article produces a review of call admission control and resources allocation schemes for cellular networks users and the findings in this area. Our goal is to provide survey of reviewed researches of a broad classification and detailed discussion of the existing call admission control schemes and allocation of bandwidths allocations that reduce the congestion issues in the network environment...
The poor state of most asphalt roads in Nigeria has significantly increased the number of road accidents, leading to loss of lives and properties. These road defects can be observed in the form of pavement cracks, rutting, road bumps and potholes. Prior detection of these defects, particularly potholes, which is more prevalent in Nigeria and effective communication among drivers, could contribute...
The development of miniaturized implantable bio-sensors is an emergent technology resulting from various fields of human endeavour such as engineering, computer science, telecommunication, instrumentation, nano-technology etc. Wireless Body Area Sensor Network (WBASN) is a network of implanted biosensors on/inside the human body for remote health monitoring. Considering the need for a reliable health...
Call Set-up Success Rate (CSSR) is an important Key Performance Indicator (KPI) for mobile network performance analysis. However, obtaining this KPI depends largely on data from the Mobile Network Providers (MNP). Owing to limitations associated with gleaning such data, recent trends seek new methods of gathering data independent of the MNP. Consequently, it is the objective of this paper to provide...
This article introduces the trends of measuring bit error rate of GSM network independently of the service providers using a PC Based Software System. This paper further reveals the role of software defined radio (SDR) in achieving reception and transmission of signals at any carrier frequency using any s t anda rd and protocol which can be reprocessed immediately with the aid of the subject software...
In this paper, a newly proposed Real Valued Neural Network (RVNN) based Energy Detector (ED) is presented for Cognitive Radio (CR) application. With little available on the performance of EDs in varying spectrum occupancy conditions, we provide a study to understand how occupancy variation affects the performance of a newly proposed RVNN based ED and other ED schemes. Other factors such as varying...
A possible solution to address the problem of Scorpion stings is the capability of detecting its presence earlier before it stings. This paper presents efforts in Scorpion detection using substrate vibration modelling approach. An eight stage approach has been presented in this work. Using sinusoidal signal, signal representing Scorpion behaviour was firstly sampled and then amplified before transmitting...
In the design of the common base Colpitts oscillator, the resistance values of Thevenin’s resistors significantly influenced the transient time and steady state response of the resulting circuit. Various traditional approaches such as intuitive reasoning, mathematical calculation, and simulation-based techniques have been proposed in the literature for this purpose. Some of the aforementioned techniques...
In this paper, new method of Colpitts oscillator designing through combination of Genetic Algorithm and Artificial Neural Network (ANN) has been suggested. The Thevenin's resistors for the common base Colpitts oscillator are optimized through application of GA and ANN. The developed common base Colpitts oscillator has shortest transient time response and stable Direct Curent (DC) stability in the...
Automatic Speech Recognition (ASR) for Arabic word has been developed in this work. The system has the ability to recognize word that is uttered by the speaker. In this paper, an approach using support vector machines (SVMs) for identifying Arabic word based on the speaker speech is proposed. The proposed SVMs-based Automatic Speech Recognition system is tested experimentally using words uttered by...
New advancements in the technology of wireless sensors have contributed to the development of special protocols which are unique to sensor networks where minimal energy consumption is vital and very important. As a result, the focus and effort of researchers is on designing better routing algorithms for a given application and network architecture of interest. Flat-based routing protocols have been...
The design and development of an Intelligent Robotic Donation Box (IRDB) system as a typical final year project in Mechatronics engineering is presented in this paper. The developed IRDB system has the capability of collecting donation from people in an organized assembly or gathering. Also incorporated into this system is the ability to attract attention of people by making audible sound, gesture...
This paper discusses and evaluates the effect of voice Activity Detection (VAD) in an isolated Yoruba word recognition system (IYWRS). The word database used in this paper are collected from 22 speakers by repeating the numbers 1 to 9 three times each. A hybrid configuration of Mel-Frequency Cepstral coefficient (MFCC) and Linear Predictive Coding (LPC) have been used to extract the features of the...
This paper presents the impact of utilizing a biased energy distribution (BED) scheme among sensor nodes for clustering sensor networks. In clustering sensor networks, some of the nodes are elected as aggregators and they compress the data from their cluster members before sending the aggregated data to the sink. Existing clustering routing protocols assume that all the nodes are provided with equal...
On March 11th 2011, the whole world was taken aback by another tragic experience of Tsunami triggered by a magnitude 9.8 earthquake in Japan. Just few days after that, on March 25th 2011, another earthquake of magnitude 6.8 hit Myanmar deaths and destructions. Despite the loss incurred on properties and human being, available data show that relatively few numbers of animals died during most natural...
In this work, a combination of artificial neural network (ANN), Fourier descriptors (FD) and spatial domain analysis (SDA) has been proposed for the development of an automatic fruits identification and sorting system. Fruits images are captured using digital camera inclined at different angles to the horizontal. Segmentation is used for the classification of the preprocessed images into two non-overlapping...
A new parametric modeling technique for the analysis of the ECG signal is presented in this paper. This approach involves the projection of the excitation signal on the right eigenvectors of the impulse response matrix of the LPC filter. Each projected value is then weighted by the corresponding singular value, leading to an approximated sum of exponentially damped sinusoids (EDS). A two-stage procedure...
In recent times, the introduction of complex-valued neural networks (CVNN) has widened the scope and applications of real-valued neural network (RVNN) and parametric modeling techniques. In this paper, new expert systems for automatic diagnosis and classification of diabetes using CVNN and RVNN based parametric modeling approaches have been suggested. Application of complex data normalization technique...
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