In this paper, an extensive work on the natural frequency of perforated plate has
been made by introducing micro-holes on the plate. The micro-holes, which is known
to have a remarkable performance in several applications, were arranged diagonally
among the perforated holes in order to make a new combination of micro-macro
perforated plate. A 3D geometrical model of the plate was made in the Autodesk
Inventor and the Finite Element (FE) simulation was employed to calculate the
natural frequency and visualize the mode shape. Four models were made with
various micro-holes diameter starting from 0,25, 0,5, 0,75 and 0,9 mm, respectively.
The macro holes diameter, however, was kept constant to be 1,5 mm purposely to
know the effect of micro holes in particular. The results from the models were then
compared to a single perforated plate (PP) for clarification. It is found that the micro
holes gives considerable effect to the perforated plate natural frequency. Similar to
the author previous findings, the diameter of the micro holes is proportional to the
natural frequency reduction.
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.
An investigation of bending loss characteristics of a Polymer Optical Fiber is presented experimentally. Loss of optical power in an optical fiber due to bending has been investigated for a wavelength of 650 nm. Variations of bending loss with different lengths have been measured, with a number of radii of curvature. Bending Loss equations for short length POF is proposed, which shows the dependence of bending loss on the curvature radii. The equations can be an initial reference or aid in predicting the loss contributes by the polymer optical fiber.
Plywood is a wood product frequently utilized in building as part of concrete formwork systems. In the concreting process, plywood formwork needs to be strongly made to withstand the pressure subjected by the wet concrete as well as the impact. To reduce the dependency on solid timber as plywood, oil palm stem offers alternative materials. There are four main weaknesses of oil palm stem (OPS) as a material for plywood manufacturing; high variations in density and moisture content (MC), high water absorption and high surface roughness. Therefore, this study modified the drying and treatment process of OPS veneer. The veneer was predried by using roller presser for removing a large amount of water and later treated with medium molecular weight phenolformaldehyde (MMwPF) to bond together parenchyma tissue, cell wall, and a lumen for much uniform density and better surface bonding. The Charpy impact of OPS plywood developed in this study denoted as PTA was investigated. These properties were compared with the properties of another two types of commercial OPS plywood denoted as PTB and PTC which were manufactured using OPS veneer with tropical hardwood veneer for face and back veneer and control plywood denoted as PTD which was manufactured using 100% tropical hardwood veneer. The results showed that PTA has the highest mean value of energy and strength for both notched and unnotched Charpy impact.
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.
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.
The probability of the construction accident to happen is high due the nature of
Construction work that involves complex activities, methods, machineries, materials
and hazards. The occupational safety and health (OSH) law and regulations are
mandatory for every construction project to uphold. Responsibilities to ensure the
safety and health at the workplace lies with those who create the risk and with those
who work with the risk. The owner or client of the construction project has the upper
hand in determining the standard of OSH implementation in their project through
contract documents. If the contract documents comprehensively spell out OSH
requirements and cover all OSH cost, then the issues of contractor not implementing
OSH measures could be minimized. The objective of this study is to identify
Occupational Safety and Health requirements (OSH) in the contract document of
selected construction projects. To achieve this objective, a total of seven contract
document was collected from several construction companies. The qualitative analysis
was performed to identify the extent of OSH requirements and costs are being
mentioned in the contract documents. The finding shows that most of the contract
document contains very little emphasis on OSH requirements and budgeting. Only one
contract contains, an appendix that spell out about the safe work practices for
construction works. The visible allocated budget for OSH requirements for all seven
contracts is very minute range from 0.21% to 1.99% of contract value. In order to
ensure that occupational safety and health is properly implemented, safety needs must
be included in the budget because implementation it is not free, this can be achieved
by making it a permanent feature in all bills of quantity of the project.
Pork and bovine collagen incorporated into meat products showed promising
functional properties as food ingredients but has the halal issue. This study
investigated the effect of incorporating fish collagen hydrolysate (FCH) as a fat replacer
in buffalo patties in terms of proximate values, texture and colour properties. There
were five different formulations including a control (10% fat, 0% FCH), A (7.5% fat, 2.5%
FCH), B (5% fat, 5% FCH), C (2.5% fat, 7.5% FCH), and D (0% fat, 10% FCH). There were
no significant differences (p>0.05) between all formulations in terms of cooking yield,
shrinkage, water-holding capacity, and pH value. The sensory test showed no
significant difference (p>0.05) between all formulations in terms of colour,
appearance, juiciness, aroma, and overall acceptability, while sample D with 10% FCH
had significantly lower (p
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.
Kaempferia galangal rhizome is one of the traditional medicinal plant species in
Zingiberaceae family and well known as “cekur” in Borneo. Rapid emergence of
multidrug resistance of V. cholerae biofilm has increased the failure of antibiotic
treatment in recent years. This research was designed to demonstrate the
antimicrobial activity of K. galangal rhizome extract against twenty six (n=26) V. cholera
biofilm which were isolated from outbreak in Limbang, Sarawak in 2016. K. galangal
rhizome was analyzed by methanol extraction and tested against biofilm of V. cholerae.
The susceptibility of V. cholerae towards K. galangal rhizome was evaluated using disk
diffusion method which showed a maximum zone of inhibition of 12.0 mm at 1000
mg/mL concentration. As a result, the MBEC50 of V. cholerae was between 125 mg/mL
to 250 mg/mL while more than 90% biofilm eradication (MBEC90) was achieved by 500
mg/mL extract concentration. Extract-treated cell showed change in the morphology
of V. cholerae by destruction of cell wall. K. galangal rhizome extract acts as a potent
antibiofilm agent with dual actions by preventing and eradicating the biofilm of V.
cholerae.
Many nonlinear problems that arise in various science and engineering fields can be
modelled by the Goursat partial differential equations. Modelling these non-linear
problems using the Goursat partial differential equations has not received much
attention especially the theoretical aspect . The proposed scheme of solution is
supported by examining a nonlinear Goursat problem. The verification of the
theoretical results from several series of numerical experiments are discussed. Results
obtained from Taylor series expansion show that the proposed new scheme is
consistent. By using the von Neumann analysis and essence of stability, the proposed
new scheme is found to be unconditionally stable. In addition, the trend of the
numerical results shows that the new scheme is also convergent.
Housing is ranked second as a basic human need after food. Generally, there is
inadequate housing both in the rural and urban centres in most of the developing
countries. The issue of housing quality seems to be common in the rural areas
whereas the major housing problem in urban areas is more of insufficient supply
from which the people can make choices. In any preference and choice situation,
certain underlying motivational factors make it possible for an individual to evaluate
available alternatives. Preferences and choices are dynamic operational activities
individuals make based on changing circumstances and situations. The study
examines housing choices and preferences within the Nigerian housing delivery
systems. The study employed quantitative method of data collection. A total of 434
questionnaires were distributed to selected households in the South West,
geopolitical zone of Nigeria. The analysis was based on 359 retrieved questionnaires
that represented 82.7 percent response rate. Descriptive statistics, relative
importance index and regression analysis was used for the analysis. Using relative
importance index, the study found out that 41 percent of the respondents preferred
3 bedroom flat with a relative importance index of 0.74, followed by 2 bedrooms flat
with RII of 0.64, self-contain with RII of 0.61. The study also revealed that the state of
the national economy plays a prominent role in individual’s housing preferences and
choices and increasingly a large number of Nigerians find housing to be beyond the
family budget. The authors are also of the opinion that policy measures that
incorporate the design of low-cost social housing and the creation of conducive
environment for developers such as the granting of tax break and provision of
subsidy may promote a better housing delivery system. Consideration of user
preferences for housing is a requirement to meeting and satisfying housing needs.
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.
Computer technology has become a very important element in an advanced manufacturing system. The good and systematic data model for the exchange of manufacturing information between different stages of development of product life cycle is paramount to ensure the product is manufactured and delivered to the market successfully. As a result, ISO 10303, an international standard, or well known as Standard for Exchange of Product Model Data (STEP) is not just for providing a neutral data format within the heterogenous CAD systems, its functionality has extended to the whole life cycle of product. STEP Part 21 is the first implementation method from EXPRESS modelling language and implemented successfully as neutral product data to integrate heterogeneous CAD platform. However, this CAD STEP Part21 text file is hardly to be applied in manufacturing processes since it consists of purely geometrical and topological data. In this research, a nonprocedural approach is presented to translate the EXPRESS language model of STEP CAD data into a new product database system model. A new nonprocedural approach of data enrichment and automated machining feature recognition is proposed and implemented on this newly developed product database system and provide a solution for the interrelated tasks of automated machining feature recognition: (1) extraction of geometrical feature from STEP CAD model data of the part (2) formation of part representation suitable for form feature identification (3) matching of form features. This paper proves the validity of this newly developed product database system by translating STEP Part21 file from a commercial CAD system to database system format, data enrichment, performing automated machining feature recognition and lastly generating STEP standard data according to AP224 for supporting STEP based process planning and manufacturing applications.
Aggregate planning acts as a blueprint for all operational planning activities. Despite
the substantial amount of research that has been done in determining methods to
improve aggregate planning approaches, the industry is still at a loss when it comes
to working on the tactical planning aspect, especially in aggregate production.
Therefore, this research work aims to present a comprehensive and generalised
framework that will formulate a realistic batch production environment using an
interactive Production Decision Support System. This system consists of an aggregate
planning framework that combines a simulation model and a Pinch Analysis graphical
approach to improve the effectiveness and efficiency of the decision-making process.
The target is to allow operational opportunities to be captured at first sight and thus,
maximise organisational profit. The simplicity and practicality of this new Production
Decision Support System is demonstrated through two illustrative examples where a
total of four heuristics were identified and turned into the new strategies to avoid the
stock-out scenarios.
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.
Microbial Fuel Cell (MFC) is a device that generates electricity from the metabolism of
bacteria simultaneously treats wastewater by decolourizing the azo dye in wastewater.
In this work, the effect of different external loads and bacterial loads were examined.
The maximum open circuit voltage generated was 390 mV by using 7 consortia of
bacteria while the maximum current generated was 50 µA using 10 Ω resistor. 97%
decolourization efficiency of 0.1 g/L of azo dye was achieved after 5 days of operation.
Besides, the maximum current density and power density achieved were 17.9 µA/cm2
and 460 µW/cm2
respectively. Polarization curve was plotted and Scanning Electron
Microscope was applied to visualize the bacterial community attachment onto the
graphite felt electrode. Cyclic voltammetry was applied to study the redox properties
of the Azo dye using microorganisms in MFC. Overall, these 7 bacterial strains used in
this work showed the capability in decolourizing the Azo dye simultaneously producing
electricity in MFC.
For the past few years, government-funded universities in Malaysia faced an uphill
battle to strategize their management budget due to significant budget cut by the
Malaysian Government. One portion of the budget will be spent towards achieving the
key performance indicators (KPIs) set by the universities to achieve their annual
targets. Unfortunately, some universities set up their specific strategies to achieve the
KPIs without ample consideration to the limited available resources where less
attention is channeled to the cost of achieving the KPIs. Setting priorities and making
decisions on allocation and reallocation of resources based on the direction of the
strategies must be executed with transparency and accountability and will be of great
importance. In this paper we illustrate how integer programming was applied to
allocate budget based on the KPIs set for one of the government-funded Malaysian
universities’ (U-XYZ’s) research and publication agenda. Two models were developed
and successfully solved. The first model was to determine the total budget needed if
all the KPIs were to be achieved while the second model was to distribute the allocated
budget set by U-XYZ, for all the activities planned for the agenda. The result showed
that in order to achieve the target, U-XYZ has to increase its budget allocation by
RM2.164 million. Otherwise, U-XYZ can only expect to obtain 1.578 out of 1.593 points
that is required to be achieved.