Abstract: Job satisfaction and motivation have been given an
important attention in psychology because they are seen as main
instruments in maintaining organizational growth and development;
they are also used to accomplish organizational aims and objectives.
However, it has been observed that some institutions failed in
motivating and stimulating their workers; in contrast, workers may be
motivated but not satisfied with the job and failed to perform
efficiently and effectively. It is hoped that the study of this nature
would be of significance value to all stakeholders in education
specifically, lecturers in higher institutions in Nigeria. Also, it is
hoped that the findings of this study will enhance lecturers’
effectiveness and performance in discharging their duties. In the light
of the above statements, this study investigated whether job
satisfaction and motivation predict lecturers’ effectiveness in Nigeria
Police Academy, Wudil, Kano State. Correlational research method
was adopted for the study, while purposive sampling technique was
used to choose the institution and the sampled lectures (70). Simple
random sampling technique was used to select one hundred cadets
across the academy. Two instruments were used to elicit information
from both lecturers and cadets. These were job satisfaction and
motivation; and lecturers’ effectiveness Questionnaires. The
instruments were subjected to pilot testing and found to have
reliability coefficient of 0.69 and 0.71 respectively. The results of the
study revealed that there was a significance relationship among job
satisfaction, motivation and lecturers effectiveness in Nigeria Police
Academy. There was a significance relationship between job
satisfaction and lecturers’ effectiveness in Nigeria Police Academy
the cal r is 0.21 while the crt r is 0.19. at p
Abstract: Over the past few decades, manufacturing has evolved
from a more labor-intensive set of mechanical processes to a
sophisticated set of information based technology processes. With the
existence of various advanced manufacturing technologies (AMTs),
more and more functions or jobs are performed by these machines
instead of human labour. This study was undertaken in order to
research the extent of AMTs adoption in manufacturing companies in
Kenya. In order to investigate a survey was conducted via
questionnaires that were sent to 183 selected AMT manufacturing
companies in Kenya. 92 companies responded positively. All the
surveyed companies were found to have a measure of investment in
at least two of the 14 types of AMTs investigated. In general the
company surveyed showed that the level of AMT adoption in Kenya
is very low with investments levels at a mean of 2.057 and
integration levels at a mean of 1.639 in a scale of 1-5.
Abstract: Present empirical paper investigates the relationship
between FDI and economic growth by 10 selected industries in 10
Central and Eastern European countries from the period 1995 to
2012. Different estimation approaches were used to explore the
connection between FDI and economic growth, for example OLS,
RE, FE with and without time dummies. Obtained empirical results
leads to some main consequences: First, the Central and East
European countries (CEEC) attracted foreign direct investment,
which raised the productivity of industries they entered in. It should
be concluded that the linkage between FDI and output growth by
industries is positive and significant enough to suggest that foreign
firm’s participation enhanced the productivity of the industries they
occupied. There had been an endogeneity problem in the regression
and fixed effects estimation approach was used which partially
corrected the regression analysis in order to make the results less
biased. Second, it should be stressed that the results show that time
has an important role in making FDI operational for enhancing output
growth by industries via total factor productivity. Third, R&D
positively affected economic growth and at the same time, it should
take some time for research and development to influence economic
growth. Fourth, the general trends masked crucial differences at the
country level: over the last 20 years, the analysis of the tables and
figures at the country level show that the main recipients of FDI of
the 11 Central and Eastern European countries were Hungary, Poland
and the Czech Republic. The main reason was that these countries
had more open door policies for attracting the FDI. Fifth, according
to the graphical analysis, while Hungary had the highest FDI inflow
in this region, it was not reflected in the GDP growth as much as in
other Central and Eastern European countries.
Abstract: We present probabilistic multinomial Dirichlet
classification model for multidimensional data and Gaussian process
priors. Here, we have considered efficient computational method that
can be used to obtain the approximate posteriors for latent variables
and parameters needed to define the multiclass Gaussian process
classification model. We first investigated the process of inducing a
posterior distribution for various parameters and latent function by
using the variational Bayesian approximations and important sampling
method, and next we derived a predictive distribution of latent
function needed to classify new samples. The proposed model is
applied to classify the synthetic multivariate dataset in order to verify
the performance of our model. Experiment result shows that our model
is more accurate than the other approximation methods.
Abstract: This paper introduces an effective method of
segmenting Korean text (place names in Korean) from a Korean road
sign image. A Korean advanced directional road sign is composed of
several types of visual information such as arrows, place names in
Korean and English, and route numbers. Automatic classification of
the visual information and extraction of Korean place names from the
road sign images make it possible to avoid a lot of manual inputs to a
database system for management of road signs nationwide. We
propose a series of problem-specific heuristics that correctly segments
Korean place names, which is the most crucial information, from the
other information by leaving out non-text information effectively. The
experimental results with a dataset of 368 road sign images show 96%
of the detection rate per Korean place name and 84% per road sign
image.
Abstract: This paper introduces a signal monitoring program
developed with a view to helping electrical engineering students get
familiar with sensors with digital output. Because the output of digital
sensors cannot be simply monitored by a measuring instrument such as
an oscilloscope, students tend to have a hard time dealing with digital
sensors. The monitoring program runs on a PC and communicates with
an MCU that reads the output of digital sensors via an asynchronous
communication interface. Receiving the sensor data from the MCU,
the monitoring program shows time and/or frequency domain plots of
the data in real time. In addition, the monitoring program provides a
serial terminal that enables the user to exchange text information with
the MCU while the received data is plotted. The user can easily
observe the output of digital sensors and configure the digital sensors
in real time, which helps students who do not have enough experiences
with digital sensors. Though the monitoring program was programmed
in the Matlab programming language, it runs without the Matlab since
it was compiled as a standalone executable.
Abstract: Project Portfolio Management (PPM) is an essential
component of an organisation’s strategic procedures, which requires
attention of several factors to envisage a range of long-term outcomes
to support strategic project portfolio decisions. To evaluate overall
efficiency at the portfolio level, it is essential to identify the
functionality of specific projects as well as to aggregate those
findings in a mathematically meaningful manner that indicates the
strategic significance of the associated projects at a number of levels
of abstraction. PPM success is directly associated with the quality of
decisions made and poor judgment increases portfolio costs. Hence,
various Multi-Criteria Decision Making (MCDM) techniques have
been designed and employed to support the decision-making
functions. This paper reviews possible options to enhance the
decision-making outcomes in organisational portfolio management
processes using the Analytic Hierarchy Process (AHP) both from
academic and practical perspectives and will examine the usability,
certainty and quality of the technique. The results of the study will
also provide insight into the technical risk associated with current
decision-making model to underpin initiative tracking and strategic
portfolio management.
Abstract: The purpose of the study is to investigate the level of
intrinsic motivation of trainers after attending a Continuous
Professional Development Course (CPD) organized by Institute of
Teacher Training Malaysia titled, “Transformation of Teaching and
Learning the Fun Way”. This study employed a survey whereby 96
teacher trainers were given Situational Intrinsic Motivational Scale
(SIMS) Instruments. Confirmatory factor analysis was carried out to
get the validity of this instrument in local setting. Data were analyzed
with SPSS for descriptive statistic. Semi- structured interviews were
also administrated to collect qualitative data on participants’
experiences after participating in the two-day fun-filled program. The
findings showed that the participants’ level of intrinsic motivation
showed higher mean than the amotivation. The results revealed that
the intrinsic motivation mean is 19.0 followed by Identified
regulation with a mean of 17.4, external regulation 9.7 and
amotivation 6.9. The interview data also revealed that the participants
were motivated after attending this training program. It can be
concluded that this program, which was organized by Institute of
Teacher Training Malaysia, was able to enhance participants’ level of
motivation. Self-Determination Theory (SDT) as a multidimensional
approach to motivation was utilized. Therefore, teacher trainers may
have more success using the “The fun way approach” in conducting
training program in future.
Abstract: The aim of the study was to investigate the effect of
Saccharomyces cerevisiae (SC) live yeast culture on microbial
protein supply to small intestine in Kivircik male yearlings when fed
with different ratio of forage and concentrate diets. Four Kivircik
male yearlings with permanent rumen canula were used in the
experiment. The treatments were allocated to a 4x4 Latin square
design. Diet I consisted of 70% alfalfa hay and 30% concentrate, Diet
II consisted of 30% alfalfa hay and 70% concentrate, Diet I and II
were supplemented with a SC. Daily urine was collected and stored at
-20°C until analysis. Calorimetric methods were used for the
determination of urinary allantoin and creatinine levels. The
estimated microbial N supply to small intestine for Diets I, I+SC, II
and II+SC were 2.51, 2.64, 2.95 and 3.43 g N/d respectively.
Supplementation of Diets I and II with SC significantly affected the
allantoin levels in μmol/W0.75 (p
Abstract: The transesterification of dimethyl malonate (DMM)
with phenol has been studied in vapour phase over cordierite
honeycomb coated with solid acid catalysts such as ZrO2,
Mo(VI)/ZrO2 and SO42-/ZrO2. The catalytic materials were prepared
honeycomb coated, powder forms, and characterized for their total
surface acidity by NH3-TPD and crystalinity by powder XRD
methods. Phenyl methyl malonate (PMM) and diphenyl malonate
(DPM) were obtained as the reaction products. A good conversion of
DMM (up to 82%) of MPM with 95% selectivity was observed when
the reactions were carried out at a catalyst bed temperature of 200 °C
and flow-rate of 10 mL/h in presence of Mo(VI)/ZrO2 as catalyst.
However, over SO4^2-/ZrO2 catalyst, the yield of DPM was found to be
higher. The results have been interpreted based on the variation of
acidic properties and powder XRD phases of zirconia on
incorporation of Mo(VI) or SO42– ions. Transesterification reactions
were also carried out over powder forms of the catalytic materials
and the yield of the desired phenyl ester products were compared
with that of the HC coated catalytic materials. The solid acids were
found to be reusable when used for at least 5 reaction cycles.
Abstract: A model to predict the plastic zone size for material
under plane stress condition has been developed and verified
experimentally. The developed model is a function of crack size,
crack angle and material property (dislocation density). Simulation
and validation results show that the model developed show good
agreement with experimental results. Samples of low carbon steel
(0.035%C) with included surface crack angles of 45o, 50o, 60o, 70o
and 90o and crack depths of 2mm and 4mm were subjected to low
strain rate between 0.48 x 10-3 s-1 – 2.38 x 10-3 s-1. The mechanical
properties studied were ductility, tensile strength, modulus of
elasticity, yield strength, yield strain, stress at fracture and fracture
toughness. The experimental study shows that strain rate has no
appreciable effect on the size of plastic zone while crack depth and
crack angle plays an imperative role in determining the size of the
plastic zone of mild steel materials.
Abstract: Concurrent planning of project scheduling and
material ordering has been increasingly addressed within last decades
as an approach to improve the project execution costs. Therefore, we
have taken the problem into consideration in this paper, aiming to
maximize schedules quality robustness, in addition to minimize the
relevant costs. In this regard, a bi-objective mathematical model is
developed to formulate the problem. Moreover, it is possible to
utilize the all-unit discount for materials purchasing. The problem is
then solved by the E-constraint method, and the Pareto front is
obtained for a variety of robustness values. The applicability and
efficiency of the proposed model is tested by different numerical
instances, finally.
Abstract: Global economy today is full of sophistication. All
over the world, business and marketing practices are undergoing
unprecedented transformation. In realization of this fact, the federal
government of Nigeria has put in place a robust transformation
agenda in order to put Nigeria in a better position to be a competitive
player and in the process transform all sectors of its economy. New
technologies, especially the Internet, are the driving force behind this
transformation. However, technology has inadvertently affected the
way businesses are done thus necessitating the acquisition of new
skills. In developing countries like Nigeria, citizens are still battling
with effective application of those technologies. Obviously, students
of business education need to acquire relevant business knowledge to
be able to transit into the world of work on graduation from school
and compete favorably in the labor market. Therefore, effective
utilization of social media by both teachers and students can help
extensively in empowering students with the needed skills. Social
media which is a group of Internet-based applications built on the
ideological foundations of Web 2.0, that allow the creation and
exchange of user generated content, and if incorporated into the
classroom experience may be the needed answer to unemployment
and poverty in Nigeria as beneficiaries can easily connect with
existing and potential enterprises and customers, engage with them
and reinforce mutual business benefits. Challenges and benefits of
social media use in education in Nigeria universities were revealed in
this study.
Abstract: This research was made during the 2015 growing
periods in the trial filed of "Research Station for Department of Field
Crops, Agricultural Faculty, Selcuk University" according to
“Randomized Blocks Design” with 3 replications. Research material
was the following pea lines; PS16, PS18, PS21, PS23, PS24, PS25,
PS36, PS47, PS49, PS51, PS54, PS58, PS67, PS69, PS71, PS73,
PS83, PS84, PS87 and PSKY and three cultivars and other 2
commercial varieties named as Bolero, Rondo and Ultrello. Some
agronomical characteristics such as plant height (cm) number of pod
per plant number of seed per pod number of seed per plant 100 seed
weight (g) and seed yield (kg ha-1) were determined. The highest seed
yield was obtained 2727.0 kg ha-1 in the PS71 line and the lowest
value was obtained 1238.0 kg ha-1 in the commercial variety of
Bolero. Results of the research implicated that the new developed
lines were superior compared with the control (commercial) varieties
by means of most of the characteristics. Nevertheless, similar
researches should be continued in different locations and years.
Abstract: Wind energy is rapidly emerging as the primary
source of electricity in the Philippines, although developing an
accurate wind resource model is difficult. In this study, Weather
Research and Forecasting (WRF) Model, an open source mesoscale
Numerical Weather Prediction (NWP) model, was used to produce a
1-year atmospheric simulation with 4 km resolution on the Ilocos
Region of the Philippines. The WRF output (netCDF) extracts the
annual mean wind speed data using a Python-based Graphical User
Interface. Lastly, wind resource assessment was produced using a
GIS software. Results of the study showed that it is more flexible to
use Python scripts than using other post-processing tools in dealing
with netCDF files. Using WRF Model, Python, and Geographic
Information Systems, a reliable wind resource map is produced.
Abstract: The underutilization of biomass resources in the
Philippines, combined with its growing population and the rise in
fossil fuel prices confirms demand for alternative energy sources. The
goal of this paper is to provide a comparison of MODIS-based and
Landsat-based agricultural land cover maps when used in the
estimation of rice hull’s available energy potential. Biomass resource
assessment was done using mathematical models and remote sensing
techniques employed in a GIS platform.
Abstract: This research work presents the surface
thermodynamics approach to M-TB/HIV-Human sputum
interactions. This involved the use of the Hamaker coefficient
concept as a surface energetics tool in determining the interaction
processes, with the surface interfacial energies explained using van
der Waals concept of particle interactions. The Lifshitz derivation for
van der Waals forces was applied as an alternative to the contact
angle approach which has been widely used in other biological
systems. The methodology involved taking sputum samples from
twenty infected persons and from twenty uninfected persons for
absorbance measurement using a digital Ultraviolet visible
Spectrophotometer. The variables required for the computations with
the Lifshitz formula were derived from the absorbance data. The
Matlab software tools were used in the mathematical analysis of the
data produced from the experiments (absorbance values). The
Hamaker constants and the combined Hamaker coefficients were
obtained using the values of the dielectric constant together with the
Lifshitz Equation. The absolute combined Hamaker coefficients
A132abs and A131abs on both infected and uninfected sputum samples
gave the values of A132abs = 0.21631x10-21Joule for M-TB infected
sputum and Ã132abs = 0.18825x10-21Joule for M-TB/HIV infected
sputum. The significance of this result is the positive value of the
absolute combined Hamaker coefficient which suggests the existence
of net positive van der waals forces demonstrating an attraction
between the bacteria and the macrophage. This however, implies that
infection can occur. It was also shown that in the presence of HIV,
the interaction energy is reduced by 13% conforming adverse effects
observed in HIV patients suffering from tuberculosis.
Abstract: This study aims to examine the sensory quality of
meatballs made from Balinese beef and buffalo meat after the
addition of smoke powder prior to storage at the temperatures of 2-
5°C for 7 days. This study used meat from Longissimus dorsi muscle
of male Balinese cattle aged 3 years and of male buffalo aged 5 years
as the main raw materials, and smoke powder as a binder and
preservative in making meatballs. The study was based on completely
randomized design (CRD) of factorial pattern of 2 x 3 x 2 where
factors 1, 2 and 3 included the types of meat (cattle and buffalo),
types of smoke powder (oven dried, freeze dried and spray dried)
with a level of 2% of the weight of the meat (w/w), and storage
duration (0 and 7 days) with three replications, respectively. The
parameters measured were the meatball sensory quality (scores of
tenderness, firmness, chewing residue, and intensity of flavor). The
results of this study show that each type of meat has produced
different sensory characteristics. The meatballs made from buffalo
meat have higher tenderness and elasticity scores than the Balinese
beef. Meanwhile, the buffalo meatballs have a lower residue
mastication score than the Balinese beef. Each type of smoke
powders has produced a relatively similar sensory quality of
meatballs. It can be concluded that the smoke powder of 2% of the
weight of the meat (w/w) could maintain the sensory quality of the
meatballs for 7 days of storage.
Abstract: Finding the optimal 3D path of an aerial vehicle under
flight mechanics constraints is a major challenge, especially when
the algorithm has to produce real time results in flight. Kinematics
models and Pythagorian Hodograph curves have been widely used
in mobile robotics to solve this problematic. The level of difficulty
is mainly driven by the number of constraints to be saturated at the
same time while minimizing the total length of the path. In this paper,
we suggest a pragmatic algorithm capable of saturating at the same
time most of dimensioning helicopter 3D trajectories’ constraints
like: curvature, curvature derivative, torsion, torsion derivative, climb
angle, climb angle derivative, positions. The trajectories generation
algorithm is able to generate versatile complex 3D motion primitives
feasible by a helicopter with parameterization of the curvature and the
climb angle. An upper ”motion primitives’ concatenation” algorithm
is presented based. In this article we introduce a new way of designing
three-dimensional trajectories based on what we call the ”Dubins
gliding symmetry conjecture”. This extremely performing algorithm
will be soon integrated to a real-time decisional system dealing with
inflight safety issues.
Abstract: The photovoltaic and the semiconductor industries are
in growth and it is necessary to supply a large amount of silicon to
maintain this growth. Since silicon is still the best material for the
manufacturing of solar cells and semiconductor components so the
pure silicon like solar grade and semiconductor grade materials are
demanded. There are two main routes for silicon production:
metallurgical and chemical. In this article, we reviewed the
electrotecnological installations and systems for semiconductor
manufacturing. The main task is to design the installation which can
produce SOG Silicon from river sand by one work unit.