Monitoring the Level of Light Pollution and Its Impact on Astronomical Bodies Naked-Eye Visibility Range in Selected Areas in Malaysia Using Sky Quality Meter doi: https://doi.org/10.13052/jiems2446-1822.2016.007
M. S. Faid1, N. N. M. Shariff1, Z. S. Hamidi2, S. N. U. Sabri2,
N. H. Zainol2, N. H. Husien2 and M. O. Ali2
1Academy of Contemporary Islamic Studies, Universiti Teknologi MARA,
Shah Alam, Selangor, Malaysia
2Faculty of Applied Sciences, Universiti Teknologi MARA,
Shah Alam, Selangor, Malaysia
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Abstract: Light pollution is an anthropogenic by-product of modern civilization and
heavy economical activity, sourced from artificial light. In addition of its
detrimental impact on human and ecology, light pollution brightens the night
sky, limiting the range of visible astronomical bodies detected by naked-eye.
Since it is becoming a global concern for astronomers, the level of light
pollution needs to be monitored to study its mark on the astronomical data.
Using Sky Quality Meter in the period of 5 months, we investigated the links
between city population and its vicinity from the city center towards the profile
of the night sky and the limiting magnitude of the naked eye. We eliminate
the data factored by clouds and moon brightness on account of it has an
adverse effect on sky brightness that could disrupt research on light pollution. From the result, we can see population and location distance from the city
as major variables of light pollution, as Kuala Lumpur, a city center sky is
5 times brighter than Teluk Kemang, a suburban sky. Some recommendation
in reducing the effect of light pollution will be also discussed.
Keywords: Anthropogenic pollution, Light pollution, Population, Night sky
brightness, Limiting magnitude.
Simultaneous Integrated Model with Multiobjective for Continuous Berth Allocation and Quay Crane Scheduling Problem doi: https://doi.org/10.13052/jiems2446-1822.2016.006
Nurhidayu Idris1 and Zaitul Marlizawati Zainuddin2
1Department of Mathematical Sciences, Faculty of Science,
Universiti Teknologi Malaysia, Johor, Malaysia
2Department of Mathematical Sciences, Faculty of Science
and Universiti Teknologi Malaysia – Centre of Industrial
and Applied Mathematics, Universiti Teknologi Malaysia,
Johor, Malaysia
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Abstract: This paper presents the simultaneous integration model of berth allocation
and quay crane scheduling. Berths and quay cranes are both critical resources
in port container terminals. The mathematical model uses a mixed integer
linear programming with multiple objectives generated by considering various
practical constraints. Small data instances have been taken to validate the
integrated model. A numerical experiment was conducted by using LINGO
programming software to evaluate the performance and to obtain the exact
solution of the suggested model.
Keywords: Berth allocation, Quay crane scheduling, Multi objectives,
Integration.
Abstract: This paper presents the design of the arc fault detection circuit that is able to
detect three different signals prior to the occurrence of an arcing fault in the low
voltage switchboard. There are pressure, heat and light signals. The simulation
results show that the proposed arc fault detection circuit will activate the relay
and send a trip signal to the circuit breaker if the illumination level in the
interior of the low voltage (LV) switchboard is more than a predetermined
value and at the same time both the pressure and temperature detectors detect
a pressure and temperature level which are higher than the reference value.
This is to ensure that no fault tripping signal is sent to the circuit breaker and
therefore avoid unnecessary power shut down.
Keywords: LM 335 Temperature Sensor, 1140 Pressure Sensor, ISL2910
Light to Analog Sensor, Arc Fault, Low Voltage Switchboard.
Abstract: Location Routing Inventory Problem with Transhipment (LRIP-T) is a
collaboration of the three components in the supply chain which are locationallocation;
vehicle routing and inventory management problems that allow
transhipment process, in a way that the total system cost and the total
operational time are minimized. This study is to determine a set of customer
points to act as the transhipment point as and when it is necessary, based on
the surplus quantities it has, the quantities to ship to the needing customers
and the sequence in which customers are replenished by homogeneous fleet
of vehicles. The transhipment point is selected from the existing customers
using p-center. The performance of the selection is evaluated using a set of
benchmark data and a real life data. For the real life data, sensitivity analysis
based on the number of distribution centres and size of lorries are presented.
Results show important savings achieved when compared to the existing
model in solving the supply chain problem.
Keywords: Location Inventory Routing Problem with Transhipment,
p-center.
Software Reliability Model Selection Based on Deep Learning with Application to the Optimal Release Problem doi: https://doi.org/10.13052/jiems2446-1822.2016.003
Yoshinobu Tamura1 and Shigeru Yamada2
1Information Science and Engineering Section, Department of Engineering,
Graduate School of Sciences and Technology for Innovation, Yamaguchi University,
Ube-shi, Japan
2Department of Social Management Engineering, Graduate School of Engineering,
Tottori University, Tottori-shi, Japan
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Abstract: In the past, many software reliability models have been proposed by several
researchers. Also, several model selection criteria such as Akaike’s information
criterion, mean square errors, predicted relative error and so on, have been
used for the selection of optimal software reliability models. These assessment
criteria can be useful for the software managers to assess the past trend of fault
data. However, it is very important to assess the prediction accuracy of model
after the end of fault data observation in the actual software project. In this
paper, we propose a method of optimal software reliability model selection
based on the deep learning. Moreover, we show several numerical examples
of software reliability assessment in the actual software projects. In particular,
we discuss the optimal release time and total expected software cost in terms
of the model selection based on the deep learning.
Keywords: Software reliability model, optimal model selection, deep
learning, optimal release time, software cost.
Abstract: The purpose of this paper is to apply a total productive maintenance (TPM)
technique for increasing the effectiveness in producing aluminium stranded
conductors in order to reduce waste problems of the machine and improve the
quality of the production. Two pillars of TPM activities for autonomous maintenance
and focused improvement are established. Machines that have low
overall equipment efficiency (OEE) are chosen as prototype machines. Training
program for employees about the production work, cleaning activities to
discover abnormal conditions, corrective actions during abnormal operations
and a one point lesson (OPL) to educate operators for the production process
are implemented. Autonomous maintenance standards are also created. Pareto
analysis is used to quickly determine the critical equipment in the factory. A
corrective action team is selected for improving the operation of the process.
The research is evaluated by comparing the OEE of prototype machines
based on production problems occurred before and after the improvement.
The results show that the TPM implementation reduces the downtime from
7,730.80 minutes per month to 4,942.20 minutes per month, the loss of the
scrap from 4,570.00 kilograms per month to 2,236.67 kilograms per month.
The OEE is increased from 67.21 percent to 72.14 percent.
Keywords: Total productive maintenance, overall equipment efficiency, one
point lesson.
Abstract: Building on the theory of social capital the present theoretical study aims to
introduce a framework to analyze the extent to which the innovation capability
of Chinese firms is affected by Guanxi as a moderator between the former and
the knowledge sharing behaviors among individuals and teams. The three
dimensions of knowledge sharing considered here are: Type of knowledge,
quantity and quality of knowledge shared among employees. Also this article
includes propositions and recommendations to lead future research in
this area.
Keywords: Guanx
