ORIGINAL RESEARCH ARTICLE | Dec. 30, 2017
GEECA: Grid Based Energy Efficient Clustering Algorithm for Mobile Wireless Sensor Networks
K. Juliet Catherine Angel, Dr. E. George Dharma Prakash Raj
Page no 457-464 |
10.21276/sjeat.2017.2.12.1
Energy Efficiency is the critical need of Mobile Wireless Sensor Network
(MWSN) due to the limitation in the size of the device and the disability to replace
the battery of the nodes. In this paper, a Grid Based Energy Efficient Clustering
Algorithm for Mobile Wireless Sensor Networks (GEECA) is proposed to select the
Cluster Heads (CHs) thereby minimizing the energy consumption. The simulation
results are compared with a prevailing clustering algorithm, which reveals that the
proposed algorithm outperforms the existing algorithm.
ORIGINAL RESEARCH ARTICLE | Dec. 30, 2017
Effect of Additive Type and Percent on Soil Plasticity
Elaf Jassim Mahan, Anas Kareem Hussein
Page no 465-471 |
10.21276/sjeat.2017.2.12.2
In the current study, the effects of three types of additive (lime, cement and
cement kiln dust) on the plasticity of a soil are studied. The results of the study
indicate plasticity index are affected by the addition of (cement, lime and cement kiln
dust) and the effectiveness of these additives depends on the soil treated and the
amount and type of additive used. The main results show that with increase of
Additive the plastic limit increases and liquid limit decreases, hence decreases
plasticity index and it is revealed that a change of soil texture takes place. While
Addicrete BV does not effect on the Atterberg limits or the soil texture of the soil.
Then the plasticity properties of the soils including liquid, plasticity and shrinkage
limits as well as plasticity index were investigated and compared among the
specimens in different mixture proportions. Atterberg limits (Plastic limit “PL”,
Liquid limit “LL”, and Plasticity index “PI” = LL-PL) play an important role in soil
identification and classification.
ORIGINAL RESEARCH ARTICLE | Dec. 30, 2017
Implementing New Methodology for Earthquake Risk Mitigation of Developing Countries with High Hazard
Ghazanfar Ali Anwar, Majid Ali
Page no 472-477 |
10.21276/sjeat.2017.2.12.3
Pakistan, a developing country lies in an earthquake prone region with
moderate-to-strong ground motions. Recent earthquakes revealed the seismic
vulnerability of existing building stock, leading to monetary loss, casualties and
fatalities. Kashmir earthquake (2005) resulted in huge loss of lives and livelihood.
However, the country lacks tools for earthquake risk assessment and mitigation. The
objective of this research work is to develop seismic vulnerabilities of substandard
reinforced concrete frame structures for the determination of risk in terms of
monetary loss, casualties and fatalities for the Mansehra district of Pakistan under
Kashmir earthquake 2005. CFRP retrofit technique is utilized to improve the seismic
vulnerability of existing RC building stock for risk mitigation purposes. A
hypothetical four story reinforced concrete frame structure, representative of the
construction practices in the study region is designed under gravity load.
Vulnerability curve is generated by using capacity spectrum method for unconfined
and confined structures. Earthquake risk assessment framework for RC frames is
developed for socio and economic analysis. Hazard of the region for a single event of
Kashmir earthquake 2005 is determined in ArcGIS environment. Using seismic
hazard, and seismic vulnerability of confined and unconfined frames, seismic risk in
terms of monetary loss, casualties and fatalities is calculated.
ORIGINAL RESEARCH ARTICLE | Dec. 30, 2017
Arduino Microcontroller Based Heart Rate Monitor Using Fingertip Sensors
Srilahari Namani, Mr. Manickam Ramasamy, Sunitha Paripelli, SatyanarayanaNamani
Page no 478-483 |
10.21276/sjeat.2017.2.12.4
Medical devices can be categorized into two categories which is invasive
and non-invasive method. Invasive method needs medical device to be inserted into
patient body regarding to check or do the treatment on the patients. However, the
non-invasive method is a way to check the health condition from the outside of the
body. A common non-invasive medical device is Heart rate monitor. The function of
the Heart rate monitor is determining heart rate (i.e.) beats per minute. The main aim
of this work is to develop a portable device which helps to record heart rate of a
person. The heart rate also referred as pulse rate, has been recognized as a vital
parameter since beginning of medicine, and is directly related to person’s
cardiovascular health. Heart rate or pulse recording is the most important vital
parameter which helps the individual as well as doctor to spot out developing health
problems. Using Heart Rate Monitor (HRM) is a more accurate way to monitor heart
rate than manually taking your pulse at carotid of radial pulse. A HRM detects the
electronic signal of heart and automatically computes the heart rate in BPM. Infrared
light emitting diode (LED) is used to transmit the light and phototransistor works as a
receiver. The Infrared (IR) sensors used uses the principle reflectance
plethysmography (PPG) to sense the pulse signal from finger tip. The sensor output is
read from the Arduino board, computes the BPM and display the instantaneous heart
rate on LCD display module. Based on the above principle, a portable heart rate
device using Arduino microcontroller is developed.
ORIGINAL RESEARCH ARTICLE | Dec. 30, 2017
Exploring the Use of Hypothesis Testing in Determining the Number of Components in Gaussian Mixed Model
Mohd Izhan Mohd Yusoff, Ibrahim Mohamed, Mohd. Rizam Abu Bakar
Page no 484-498 |
10.21276/sjeat.2017.2.12.5
Gaussian Mixed Model (GMM) has seen an increase in terms of usage
especially to tackle the issue or problem of fraud activities in telecommunication
industry. Like any other methods, GMM has its equal share of problems related to the
maximum likelihood estimation and the determination of the number of components
in GMM. In this paper we will highlight solutions to the said problems such as
Expectation Maximization (EM) algorithm and the methods that are normally used to
determine the number of components in GMM, which include the most recent
research work done by the authors using Kernel method and Akaike Information
Criteria (AIC); and the successful derivation of hypothesis testing in the
determination of the number of components in GMM. The said derivation has never
been attempted before due to the difficulty and complexity of GMM, as exemplified
by the use of EM algorithm in solving its maximum likelihood estimation problem.
The performance of the hypothesis testing, which is positive and promising despite
using different percentage of overlapping; and the comparison of hypothesis testing
to AIC, which produced conflicting results under certain conditions will also be
highlighted
ORIGINAL RESEARCH ARTICLE | Dec. 30, 2017
The Effect of Feed Characterization on Naphtha Reformer Modeling
Isam A.B Salem
Page no 499-508 |
10.21276/sjeat.2017.2.12.6
In this paper naphtha feed characterization and reactor modeling are
thoroughly investigated. Naphtha feed characterization method is based on the work
of proposing candidate components which have the potential to provide behavior
similar to the behavior of the original naphtha feed. HYSYS software is used to
provide the thermodynamic properties for the different true boiling points distillation
cuts of the naphtha feed. Physical and thermodynamic properties of the selected
components which represent each volume fraction (cut) are related to the properties
obtained from HYSYS. The results which are the predicted molar composition of the
lumped chemical species of the feed are compared to the paraffin-naphthene-aromatic
(P,N and A) analysis of the studied commercial data. The relative errors of the feed
stream are around 5%. The kinetic model and reaction network are based on the
major reforming reaction such as dehydrgenation of naphthenes, dehydrocyclization
of paraffin, cracking of paraffins and hydrocracking of cycloalkanes. The
characterized data and model were bench marked against the real production data of
a Libyan local refinery and the final results of the reformer such as outlet
temperatures and reformate octane number have shown deviations with the actual
operating data which considered in direct relation with weak points inherited to
characterization method.
ORIGINAL RESEARCH ARTICLE | Dec. 30, 2017
Wear Characterization of Advanced High Strength Steel with Cr Content under Dry Sliding Condition
Haitham Abdellatif, Ahmed Farahat, Abdel-Wahab El-Morsy
Page no 509-514 |
10.21276/sjeat.2017.2.12.7
This paper describes the application of experimental design techniques to
characterize the wear behavior of two medium carbon steels designing with suitable
alloying elements, Mn, Si, Al, and Cr. Application of experimental design technique
enabled us to confirm the significance of the factors affecting the wear behavior with
a minimum number of experiments. Attempt was to find out the dominant parameter
on the wear behaviour. The experiments of sliding wear were performed under
pressure range of 0.71- 1.98 MPa and sliding velocity range of 3.43-10.43 m/s. the
wear specimens were obtained through hot forging process with ~ 92% reduction on
the investigated alloys at a temperature of 1100 0C followed by air cooling.
Microstructural investigations on the worn surfaces were undertaken. The
morphology results and the general wear formulas reveal that applied pressure was
found to be the most significant parameter.