Membrane technologies have received high interest in the separation gas mixture. The
ceramic inorganic membranes have possessed high permeability, excellent thermal,
chemical and mechanical stabilities compared to conventional polymer membranes.
This work presents the fabrication of silica ceramic membrane by sol dip-coating
method. The tubular support was dipped into the solution of tetrethylorthosilicate
(TEOS), distilled water and ethanol with the addition of nitric acid as a catalyst. The
fabricated silica membrane was then characterized by (Field Emission Scanning
Electron Microscope) FESEM and (Fourier transform infrared spectroscopy) FTIR to
determine structural and chemical properties at different dipping number. FESEM
images indicate that the silica has been deposited on the surface fabricated ceramic
membrane and penetrate into the pore walls. However, number of dipping did not
affect the intensity peak of FTIR analysis.
The water shortage in Selangor Northwest Project rice granary areas has been growing
concern. The increase in plant capacity and the El Nino phenomenon that hit Malaysia
(1998 & 2016) has cause the main source of irrigation; surface water and rainfall, could
no longer meet the needs of paddy. As a consequence, paddy productivity has
becoming serious concern and urge for alternative irrigation water supply. At the same
time, the use of groundwater as a source of alternative supply of irrigation water has
started to get attentions. However, to determine the potential groundwater aquifer,
preliminary study should be made in advance. Thus, the focus of this paper is to
investigate the geological structure of the Selangor Basin by means analysis of
borehole information. A total of 56 tube wells data were used to obtain layers of
subsurface in the study area. By using groundwater modelling software (Visual
MODFLOW), a model that represents an actual geological conditions has been made.
A total of 6 subsurface layers have been identified. The result of study showed that,
the geological formations of the study area mainly consist of three types; alluvium,
sedimentary and metamorphic rock.
The purpose of this research is to enhance the gain signal amplification by using dual
pump double pass configuration in comparative with single pump double pass that are
commonly used as conventional optical amplifier configuration in optical
communication system nowadays. Two input signals power have been implemented
which are -30 and 0 decibel (dB). The input signal defined as low and high input signals
power by using a pump power of 1480 nm. The amplification of EDFA in this study have
been taken place in conventional band (C) band and long wavelength band (L) band of
EDFA within the range of 1515 to 1615 nm. Therefore, to understand the performance
of the gain amplification, the OptiSystem software simulator version 13 has been used
for simulation and the values of fiber length and pump power has been varied for both
configurations. It has been found that the, dual pump double pass configuration has
shown better gain performance at lower input signal power compared to the single
pump double pass configuration.
Nowadays, intelligent vehicles have received a considerable attention among the
researchers to reduce the number of collisions and road accidents. One of the
challenging tasks for these vehicles is road lane detection or road boundaries
detection. In this research, a lane detection algorithm was developed to detect the
right and left lane markers on the road by using two cameras which act as a stereo
vision for the system. It is based on edge detection by using Canny Edge Detection to
reduce unnecessary data on the images and to perform features recognition for the
lane. After the features has been extracted, the algorithm is followed by Hough
Transform method to generate the detected lines on the image obtained from the
stereo vision camera. The algorithm has to work in different environment to be used
in real world applications. The stereo vision algorithm is implemented to generate
disparity map of area. This helps to gain more information on environment, such as the
estimated distance of the lines, the distance of the vehicle to the turns. The experiment
result shows the detection of right and left lane on the road with disparity map to
determine an estimate of the distance of detected lanes from the stereo vision camera.
Parameter estimation of complex exponential signals corrupted by additive white
Gaussian noise (AWGN) is crucial in the study of distributed beamforming in a practical
scenario. Near zero (0) phase offset are expected at the receiver end which rely on the
smoothing and correction of the frequency and phase estimates. Neither
computational complexity nor the processing latency has an effect on the expected
zero phase offset but the estimation accuracy does. Thus, the maximum likelihood
estimator (MLE) using Fast Fourier Transform (FFT) approach is being considered for
cases with none and post processing in locating of the maximum peaks. Details on how
the phase estimates are arrived at is not always covered in literatures but explained in
the article. Numerical results obtained showed that global maximum peaks are arrived
at by employing a fine search with higher values of FFT.
In this paper, we demonstrate a modified scheme for solving the nonlinear KleinGordon
equation of PDE hyperbolic types. The Klein-Gordon equation is a relativistic
wave equation version of the Schrodinger equation, which is widely used in quantum
mechanics. Additionally, the nonstandard finite difference scheme has been used
extensively to solve differential equations and we have constructed a modified scheme
based on the nonstandard finite difference scheme associated with harmonic mean
averaging for solving the nonlinear inhomogeneous Klein-Gordon equation where the
denominator is replaced by an unusual function. The numerical results obtained have
been compared and showed to have a good agreement with results attained using the
standard finite difference (CTCS) procedure, which provided that the proposed scheme
is reliable. Numerical experiments are tested to validate the accuracy level of the
scheme with the analytical results.
Computer vision is applied in many software and devices. The detection and
reconstruction of the human skeletal structure is one of area of interest, where the
camera will identify the human parts and construct the joints of the person standing in
front. Three-dimensional pose estimation is solved using various learning approaches,
such as Support Vector Machines and Gaussian processes. However, difficulties in
cluttered scenarios are encountered, and require additional input data, such as
silhouettes, or controlled camera settings. The paper focused on estimating the threedimensional
pose of a person without requiring background information, which is
robust to camera variations. Each of the joint has three-dimensional space position and
matrix orientation with respect to the sensor. Matlab Simulink was utilized to provide
communication tools with depth camera using Kinect device for skeletal detection.
Results on the skeletal detection using Kinect sensor is analysed in measuring the
abilities to detect skeletal structure accurately, and it is shown that the system is able
to detect human skeletal performing non-complex basic motions in daily life.
This paper aim is to design an education kit for wastewater system that can maintain
the standard parameters of neutralized wastewater by maintaining the suitable pH
(Potential Hydronium) level and temperature of the wastewater from industry by using
fuzzy controller. This study is capable to control the unwanted bacteria by automatic
regulatory and monitoring the temperature, pH and water level. Fuzzy logic method is
use to control and monitor pH level as well as the temperature during clarifying process
because pH control process is a complex physical-chemistry process of strong
individuality of time-varying and non-linearity properties. Pumps used in the prototype
need to be controlled precisely to enable either acid or base to be pumped into mix
tank of the wastewater treatment. The control and monitoring system, which has been
designed through LabVIEW front panel will ease end user in inspection of the
parameters involve in wastewater treatment. The entire system output could be
observed remotely in Data Dashboard application in smartphone or tablet. The GUI
was designed and interfaced with the prototype constructed to carry out the process
of controlling and monitoring the required parameters. Few tests were conducted
repetitively to analyse the performance of the system parameters. It was found that
the controlled set point fixed within the range of pH 7.6-8.4, temperature 25-29.44
Celsius and water level of 20cm in this research that was effectively achieved in the
entire test conducted. In addition, the wastewater system accuracy and performance
is 96.72% and 90.22% respectively.
Nowadays, the applications of tracking moving object are commonly used in various
areas especially in computer vision applications. There are many tracking algorithms
have been introduced and they are divided into three groups which are generative
trackers, discriminative trackers and hybrid trackers. One of the methods is TrackingLearning-Detection
(TLD) framework which is an example of the hybrid trackers where
combination between the generative trackers and the discriminative trackers occur. In
TLD, the detector consists of three stages which are patch variance, ensemble classifier
and KNearest Neighbor classifier. In the second stage, the ensemble classifier depends
on simple pixel comparison hence, it is likely fail to offer a better generalization of the
appearances of the target object in the detection process. In this paper, OnlineSequential
Extreme Learning Machine (OS-ELM) was used to replace the ensemble
classifier in the TLD framework. Besides that, different types of Haar-like features were
used for the feature extraction process instead of using raw pixel value as the features.
The objectives of this study are to improve the classifier in the second stage of detector
in TLD framework by using Haar-like features as an input to the classifier and to get a
more generalized detector in TLD framework by using OS-ELM based detector. The
results showed that the proposed method performs better in Pedestrian 1 in terms of
F-measure and also offers good performance in terms of Precision in four out of six
videos.
Phishing detection is a momentous problem which can be deliberated by many
researchers with numerous advanced approaches. Current anti-phishing mechanisms
such as blacklist-base anti-phishing, Heuristic-based anti-phishing does suffer low
detection accuracy and high false alarm. There is need for efficient mechanism to
protect users from phishing websites. The purpose of this study is to investigate the
capability of 6 machine learning algorithms i.e. Multi-Layer Perceptron (MLP), Support
Vector Machine (SVM), Random Forest (RF), Decision Tree (DT), Logistic Regression
(LR) and Naïve Bayes (NB) to classify phishing and non-phishing websites. These
algorithms were trained with two different groups of training in WEKA environment
and then were tested in terms of accuracy, precision, TP rate, and FP rate on a 3
different sets of dataset which contains dissimilar portion of phishing and non-phishing
instances. Results presented that Naïve Bayes classifier has better detection accuracy
between other classifiers for predicting phishing websites while Multi-Layer
Perceptron gave worst result in terms of detection accuracy. The result also showed
that Support Vector machine has better FP rate between other classifier. In addition,
Random Forest, Decision Tree, and Naïve Bayes can classify all phishing websites as
phishing correctly. It means that TP rate is 100% for these classifiers. In conclusion this
paper suggests using NB as the best classifier for predicting phishing and non-phishing
websites.
This paper aims to explore the level of manufacturing performance, environmental
actions and customer activities in implementing green supply chain initiatives. Besides,
the relationship between environmental actions and customer activities towards
manufacturing performance also been investigated. For this purposes, the data was
collected using questionnaire-based survey among Malaysian manufacturing firms.
Using the descriptive and correlation test, the data was analyzed. From the results, it
is showing that the manufacturing performance through the implementation of green
supply chain management has a positive relationship to environmental action and
customer activities.
This paper has evaluated the spatial growth of Bauchi Metropolis from 1976 to 2015
through the application of Remote Sensing and GIS techniques. Various satellite
imageries of the metropolis (Landsat MSS of 1976, TM of 1986, 1996 and ETM+ of 2006
and 2015) were integrated; processed and classified using ERDAS imagine 9.1. The
results showed an increase in area from 11.68km2
in 1976 to 12.51km2
in 1986 to
32.44km2 in 1996, to 49.66km2
in 2006 and finally to 89.23km2 in 2015. It is
recommended that government should provide the required capacities for the use of
Remote Sensing and GIS in planning for the growth of the town.
Energy consumption of Wireless Sensor Networks (WSN) is an important aspect in
the design requirement. This is especially true in a situation where WSN is being
operated in isolated areas and thus relying on batteries due to unavailability of power
infrastructure. Since energy efficiency is the main concern in the deployment of WSN,
the sensor node must keep track of the charge that is left in the battery, commonly
referred as the State of Charge (SoC). To prevent the discontinuation of the operation
of the sensor node from power cut off, it is important to find an analytic model for
the battery’s state of charge. In this paper, an optimized structure of Multi-Layer
Perceptron (MLP) is utilized to obtain a model of the battery state-of-charge in
wireless sensor nodes. Results show the suitability of the method that produces
accurate and simple models, capable of being implemented even in low cost and very
constrained real motes.
Piano technique is one of the main part of piano playing. Some researches had
attempted to unveil the technique of virtuoso pianists using technologies. These
researches employ different types of sensors in order to capture motion data of piano
playing. However, one area in this research had been under-represented, which is
finger position and pressure measurement applied by the musician while playing the
musical instrument. Research that embark on this area faced a common problem, the
sensors used in these research are directly in contact with the pianist, which causes a
change of piano playing experience. Since piano playing consists of very delicate
interaction between the pianist and the piano, such change of experience may affect
the pianist’s performance. These sensors are considered to be intrusive to the piano
playing experience. Concluding the challenges faced by current technologies, a nonintrusive
sensor is proposed and the circuit design of the sensor is discussed in this
paper.
The utilization of parallelogram structure in a small-sized humanoid robot consists of two parallel platforms that are linked serially in each leg. The thigh and shank of each leg consists of two servomotors as actuator and linked in parallel platform. By using parallel mechanism in leg structure, foot sole surface is always parallel to the walking surface at any point. Even it looks unnatural to human-like walking motion, the expected result is the robot can maintain it posture while walking and at the point foot sole touch the walking surface, unnecessary vibrates can be modulated at the certain level to remain its balance. The effectiveness and the performance of the proposed parallel platforms are experimented by using zero moment point (ZMP) method by taking various scenario data from pressure sensors attached at the footsole. Planned walking gait is introduced to be identical in terms of foot steps length and width of each leg swing. As the results, in terms of load in each actuator, required torque at servomotors can be reduced because two servomotors are used simultaneously in one parallel system. Stable walking gait can be predicted as the quantity of error falls within the error ranges from the published walking gait patterns.
Value management explicitly targets to optimize value by providing necessary
functions at the least cost without sacrificing quality and performance. However, the
activities/methods of this technique in emerging economies are here and there
related to informal methodology. Therefore, the occurrence of these activities in an
evolving economy requires investigation. The exploration of the extent to which the
measured variables influenced the latent factors informed the need for this study.
Data was retrieved via self-administered questionnaire from 344 registered and
practicing construction professionals in Nigeria. The data was analyzed using SPSS for
descriptive analysis and Structural Equation Modelling (SEM). Kaiser-Meyer-Olkin
measure of sampling adequacy revealed that the internal consistency of the
developed research instrument was appropriate. Confirmatory factor analysis
indicates satisfactory goodness of fit among acknowledged determinants of the
model. Furthermore, the study revealed three (3) phases of the activities/methods of
value management in the Nigerian construction industry which include: information,
information/function analysis, and creativity/evaluation/development/presentation
phases. This means that value management activities and methods are being
practiced in Nigeria, however not as per the typical methodology or standard. The
need to carry out the practice according to the formal value management
methodology is therefore recommended.
Muhammad Adil Khattak, Muhammad Khairy Harmaini Shaharuddin, Muhammad Saiful Islam Haris, Muhammad Zuhaili Mohammad Aminuddin, Nik Mohamad Amirul Nik Azhar, Nik Muhammad Hakimi Nik Ahmad
It is essential to ensure the nuclear power plant system are not compromise and avoid
failure that can result in significant economic loss and physical damage to the public.
However, a very little attention was given to software and cybersecurity hazard. This
review paper discusses about the cybersecurity in nuclear power plant, history of
accident, implementation and future plan on cybersecurity deeply. About 51 published
studies (2006-2017) are reviewed in this paper. It is marked from the literature survey
articles that it is important for the cybersecurity of a nuclear power plant to be at par
with the evolution of hardware and software and to counter the increasing risk on
cyber vulnerabilities. Moreover, it should be addressed as a concern and major priority
for researches and policy-makers.
In accordance upon conservation efforts, this research emphasizes on prevention of
environmental pollution and considers the elements of sustainable of infrastructure
construction materials, which is interlocking pavement block. The development of this
innovative product apply the concept of 3Rs and waste to wealth by using the
agricultural waste product, coconut shell, where widely available with very minimum
cost worldwide especially in tropical country such as India, Indonesia, Philippines,
Thailand and Malaysia. The main objective of this research is to produce an
environmental friendly product with a good quality, low cost and lightweight known as
Green Interlocking Pavement (GIP Block). The chemical composition of coconut shell
ash and ordinary Portland cement being identified and compared to know whether it
is able to react as a good binder in the mixture or not. The quality of GIP Block
considered is compressive strength, water absorption and bulk density. All the blocks
were curing in seven and 28 days before implementing the entire test. The existing
interlocking pavement used as bench mark and GIP Block 0% of proportion of coconut
shell ash used as control variables. The specimen of the interlocking pavement
prepared in this research is 10%, 20% and 30% proportion of coconut shell ash to
partially replace the quantity of cement. The ratio of the interlocking pavement apply
in this research is 1:2 which stand for one part cement and two part of sand. The
findings withdrawn from this research are: first, the chemical characteristic of the
coconut shell ash and cement. Second, the value of bulk density slightly reduces as the
percentage of coconut shell ash increases. Third, the additional of coconut shell ash to
partially replace the quantity of cement in the product reduce the compressive
strength and increase the percentage of water absorption.
Scholars have opined that the courtyard is a passive architectural design element and
that it can act as a microclimate modifier provided that its design requirements are not
ignored. But despite the assertions, empirical studies on the microclimatic
performance of a fully enclosed courtyard house and the non-courtyard house seems
to be deficient, and the assumption that the Courtyard is a passive architectural design
element needs to be substantiated. Therefore, the purpose of this study is to
investigate the microclimatic performance of a fully enclosed courtyard and noncourtyard
residential buildings. The main objective is to compare their microclimatic
performances in other to draw a conclusion on the best option. Three Hobo Weather
Data Loggers were used to collect climatic data in the buildings, and the third one was
situated in the outdoor area as a benchmark. The climatic variables investigated are;
air temperature and relative humidity. The fully enclosed courtyard residential building
is seen to have a better air temperature difference of 2 oC to 4 oC and the relative
humidity of 2 % to 6 %. In conclusion, the fully enclosed courtyard residential building
has confirmed a more favorable microclimatic performance, and future studies
towards its optimization are recommended.
This paper reports the effect of microbending losses in single mode optical fiber
for pressure sensing system application. Several types of periodical corrugated
plates were fabricated, namely cylindrical-structured surface (Plate A) and
rectangular-structured surface (Plate B) with thicknesses of corrugated parts
were varied at 0.1 cm, 0.2 cm and 0.3 cm. Laser sources with excitation
wavelengths of 1= 1310 nm and 2= 1550 nm were launched at the first end
of the fiber. The values of losses were recorded by using an optical power
meter. It was clearly seen that the microbending losses were polynomially
increased with the increment of applied pressure and the thicknesses of
corrugated parts of Plate A and Plate B. The maximum microbending losses of
1.5185 dBm/kPa was resulted as SMF was coupled with corrugated plates B
with thicknesses of 0.3cm by using excitation wavelength of 1550nm. These
values reduced to 0.7628 dBm/kPa and 0.4014 dBm/kPa as the thicknesses
were decreased to 0.2cm and 0.1cm respectively. In comparison with a plain
plate which acted as a reference indicator, the maximum percentage of
microbending losses was obtained as 74.29 % for Plate A and 95.02 % for Plate
B. In conclusions, we successfully proved the ability of SMF as a pressure sensor
by manipulating the microbending losses experienced by the fiber. The
employment of 1550nm of laser wavelength results better sensitivity sensor
where the system able to detect large losses as the pressure applied on the
corrugated surfaces.