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Determinants of E- recruitment adoption in Nigerian civil service: attitude as a moderator
No full textMaster of Science in ManagementRecruitment is one of the important aspects of Human Resource Management (HRM)
practices. It is the process of obtaining or acquiring suitable candidates for an organisation.
The purpose of this study was to examine the moderating role of user attitude (UAT) on the
relationship between perceived ease of use (PEOU), perceived usefulness (PU), facilitating
condition (FC), and e-recruitment adoption (ERA) in Nigerian civil service. Even though
the relationships have generated significant scholarly interest, few studies have been
conducted on e-recruitment adoption among the Nigerian civil service. Using a crosssectional
survey design, 216 questionnaires were distributed to 112 ministries and local
government in North Western Nigeria. The study adopted a proportionate stratified random
sampling; data were selected from different strata. A total of 185 questionnaires were
returned, giving a response rate of 85.6 percent. SmartPLS 2.0 was employed to analyse the
data. The findings revealed that PEOU, PU, and FC had a direct significant relationship
with the adoption of e-recruitment in Nigeria civil services. Of the moderating
relationships, UAT was found to moderate those between PU, FC, and ERA but exerted no
moderating effect on the relationship between PEOU and ERA. The study provides
important insight to HRM practitioners, policymakers, and researchers to further
understand the importance of PEOU, PU, and FC in the adoption of e-recruitment system.
The study increases the existing literature by integrating some external constructs in
Technology Acceptance Model (TAM). Finally, the limitations, conclusions as well as the
direction for future research are provided and discussed
Modified logistic model with migration factor to predict the population of Purwanegara Village in Jawa Tengah, Indonesia
No full textMaster of Science in Engineering MathematicsPopulation growth model is a model that has widely been used in order to do the
estimation and forecasting the population of peoples, animals, bacteria and even in
economics growth. Many studies have been carried out by the researchers on population
growth model by considering the factors of birth, death and carrying capacity in order to
predict the number of population at certain area. From previous the studies there was only
one study that involved the factor of migration as an input in the logistic model. The value
of the migration is a constant value. Therefore in contrast with the above modified logistic
model, in this study logistic model is modified by adding a migration factor as a function
of population. This function takes into account the migration and the interaction between
peoples that is limited to the carrying capacity of the environment. This model can be
solved qualitatively by using the analysis of equilibrium point and quantitatively by using
the separable variables method. Both of these methods produce the same result. Modified
logistic model has been applied in the population data of Purwanegara village in Jawa
Tengah Province, Indonesia. By using the data, through the graph method and analysis of
equilibrium point the same results are produced, where for the long term behavior the
population of Purwanegara village will approach to the maximum value of 68,495 persons.
Modified logistic model gives average absolute error percentage which is 0.61376782 %
for the estimation of the population from January, 2012 until October, 2016. Then, based
on validation model, the absolute error percentage which is 2.79737591 % for the
estimation of the population in November, 2016. Hence, based on the graph method,
prediction for the population in Purwanegara village from December 2016 until
December 2018 can be done. From the results, the modified logistic model with migration
factor as a function of population gives a better result for predicting the population of
Purwanegara village in Jawa Tengah Province, Indonesia compared to logistic mode
Multi sensor system for classifying Harumanis mango based on external and internal quality
No full textMaster of Science in Mechatronic EngineeringThis thesis presents a multi sensor system for classifying Harumanis mango based on its external and internal quality. Both external and internal quality of Harumanis mango affects the consumer buying preferences. Current method of classifying Harumanis mango is done manually and destructive for its internal quality determination. The proposed system consists of two parts. First part is the external quality classification using machine vision system which is based on its shape and mass. The second part is the internal quality classification using near infrared (NIR) spectroscopy, based on its total
soluble solid (TSS) value. An image acquisition platform was built to capture the 3-
Dimensional image of Harumanis mango in a single acquisition. A real-time
measurement calibration technique was developed in this research. Combination of
Fourier descriptor parameters and size-shape parameters was used to recognize the shape
of Harumanis mango. An improved two-dimensional disk method was used to estimate
the volume of Harumanis mango based on the captures image. Then a correlation between
the actual volume and actual mass was derived and used to estimate the mass of
Harumanis mango on inline system. The proposed method can correctly classify the
Harumanis mango according to its shape and mass 94.2% of the time. NIR spectrometer
was used to obtain the reflectance wavelength of the Harumanis mango. The juice from
the mango was obtained and measured with a refractrometer to obtain the actual TSS
value. Then, the acquired NIR wavelength was analysed and correlate with the actual TSS
value using multivariate analysis. A regression value of 0.85 for calibration set was found
from the analysis, which explained that there was a high correlation between the
wavelength and TSS. Stepwise Discriminant analysis method was used to find the
significant wavelength that can be used to determine the maturity stage in real-time
system. Ten wavelength points were selected and verified on the testing set. The
discriminant model can be accurately determined the maturity stage with 85.0% accurac
Improving image luminosity and contrast variation using hybrid statistical strategy
No full textDoctor of Philosophy in Mechatronic EngineeringLuminosity and contrast variation problems are among the most challenging tasks in the image processing field especially to improve the image quality. Enhancement is implemented by performing an adjustment of the dark or bright intensity in order to
improve the quality of the images and to increase the segmentation performance. Recently, numerous methods had been proposed to normalize the luminosity and contrast variation. In this study, a new method based on a direct technique using a statistical data that is known as Hybrid Statistical Enhancement (HSE) is proposed. The HSE method
used the mean and standard deviation of a local and global neighbourhood and classified
the pixel into three groups; the foreground, border, and problematic region (contrast &
luminosity). Two datasets namely document image and weld defect image were utilized
to demonstrate the effectiveness of the HSE method. The results from the visual and
objective aspects showed that the HSE method can normalize the luminosity and enhance
the contrast variation problem effectively, compared to the other enhancement methods
such as Homomorphic Filter and Discrete Cosine Transforms (DCT). Then, the
segmentation process was done using the resulting image from the HSE method. In order
to prove the HSE effectiveness, a few image quality assessments were presented and the
results were discussed. The HSE method achieved the highest result compared to the other
methods which are (Signal Noise Ratio = 9.32) for document dataset and (Signal Noise
Ratio = 8.92) for weld defect dataset. In segmentation stage, the Otsu method obtained
the highest average increment, which is 41% for document dataset and 82% for weld
defect dataset. In conclusion, the implementation of the HSE method has produced an
effective and efficient result for background correction, quality images improvement and
increase the quality of segmentation result in term of Accuracy and Peak Signal Noise
Ratio (PSNR)
Effect of niobium oxide (Nb2O5) addition to the physical and mechanical properties of cold isostatic press zirconia toughened alumina (ZTA)
No full textMaster of Science in Materials EngineeringEffect of niobium oxide (Nb2O5) addition to the physical and mechanical properties of cold
isostatic press zirconia toughened alumina (ZTA) was investigated. Various amount of
Nb2O5 (0 - 7 wt.%) were added into ZTA separately through solid state method. The
influences of Nb2O5 addition were investigated on the structural, microstructural and
mechanical properties of ZTA ceramics. XRD analysis identified the presence of t-ZrO2,
m-ZrO2 and Nb2Zr6O17 phase in this system. The presence of Nb2Zr6O17 phase found to
deteriorate the properties of ZTA ceramic, which is related to the solubility limit of Nb2O5.
The optimum value was achieve at 1 wt.% Nb2O5, which gives the highest value for
Vickers hardness (1840 HV), fracture toughness (8.60 MPa.m1/2) and flexural strength
(351 MPa). The lower porosity results in the enhancement of the mechanical properties.
Dense body was obtained via CIP method with the relative density achieve 99.8% to the
theoretical density. The crack associated from indentation technique related with the
increasing of fracture toughness value due to the presence of crack deflection. The phase
transformation (t → m) also occurs in this system and resulted in improvement for fracture
toughness and flexural strength. The obtained values indicated that Nb2O5 found to
improve the physical and mechanical properties of ZTA ceramic. Thus, the high strength
and toughness of ZTA ceramic can be produced
Design and evaluation of wearable textile antennas backed by AMC for localization application
No full textMaster of Science in Communication EngineeringThis research focuses on the development of several new compact antennas suitable for
localization application in a wearable format. To ensure that these antennas are able to
operate with minimal detuning caused when placed on body, they have been designed
with three strategies, first is to ensure its size compactness, secondly, a wide bandwidth
and finally, to adapt, wherever possible, a full rear ground plane. However, the
implementation of miniaturization techniques typically results in gain degradation,
whereas the implementation of the full ground plane limits antenna bandwidth. One
efficient method to simultaneously overcome both is the use of multiple miniaturization
and broadbanding techniques such as slots and artificial magnetic conductor (AMC)
plane. This AMC plane is formed using an array of unit cells based on the square patch
to operate in single or multiband modes. To enable size compactness and multiband
operation, square-shaped ring slots are integrated onto the square unit cells prior to its
combined use with antennas. Three new antenna designs are proposed in this
dissertation; a dual-band dual-polarized textile antenna with AMC plane (Antenna 1), a
wideband textile microstrip-based antenna (Antenna 2(a)) and wideband textile antenna
with ring slotted AMC (Antenna 2(b)). Besides differences in topology, these antennas
also operated in different frequency modes (dual-band and wideband), and are being
designed on different textile materials. Despite being inherently narrowband, the
microstrip-based Antenna 2(a) and Antenna 2(b) are designed to be wideband and
compact by combining several broadbanding and miniaturization techniques. Antenna 1
obtained a gain of 1.98 dB with a bandwidth of 7.6% at 1.575 GHz. Meanwhile, at 2.45
GHz it showed 1.94 dB of gain with 5.5 % of bandwidth. It also indicated 9 % of axial
ratio for circular polarization at 1.575 GHz. Meanwhile, Antenna 2(a) obtained a
realized gain and bandwidth of 3.5 dB and 51 %, respectively. Finally, the combination
of AMC plane and this wideband planar antenna enhanced the overall bandwidth and
decreased the antenna size. These antennas indicated great potential as effective
antennas for application in smart wearable localization in indoor and outdoor
environments