|
ARPN Journal of Engineering and
Applied Sciences August 2022 | Vol. 17 No. 15 |
|
|
Title: |
Split ring resonator RFID tag antenna with
inductively coupled feed using folded stepped-impedance resonators |
Author (s): |
Adam R. H. Alhawari |
Abstract: |
This
article describes a tag antenna fed by an inductively coupled technique
for Radio Frequency Identification (RFID) applications. The folded
stepped-impedance resonator (SIR) is used for the feed structure while
the split ring resonator (SRR) is used as radiating dipole arms. An
equivalent circuit model for the inductively coupled tag antenna is
given to synthesize the tag antenna system with an RFID chip. The
simultaneous use of SRR and SIR resonators provide flexible tuning in
terms of antenna impedance and easier to miniaturize the prototype. It
is printed on an epoxyFR4substrate at the vey compact size of44×44×1.6
mm3. It is designed using Murata IC chip having an impedance of 25-j200
Ohm at center frequency of 915 MHz. The experiment yields result of the
impedance bandwidth is 35 MHz (901-936 MHz, 3.8%), which operates within
the standard UHF frequency band. Furthermore, the results showed that
the peak gain of the proposed tag antenna is -1.4 dBi with radiation
efficiency higher than 58% at the center frequency of 915 MHz. It
provides an Omni directional radiation pattern with a maximum measured
read range of 3.18 meters at the resonant frequency of 915 MHz with an
effective isotropic radiated power (EIRP) of 4.0 W. The measurement
results agree with the simulated ones. Consequently, the proposed
prototype offers attractive benefits for RFID applications. |
|
|
Full Text |
|
|
Title: |
Electrophoretic deposition of Ti6Al4V
hydroxyapatite coating: Electrode distance and operating time changes |
Author (s): |
R. B. Taqriban, R. Ismail, J. Jamari and
A. P. Bayuseno |
Abstract: |
The
electrophoretic deposition (EPD) method is widely used to obtain a fine,
uniform, and cost-effective hydroxyapatite (HA) coating on a
complex-geometry substrate. This method was used in this study to coat
Ti6Al4V with hydroxyapatite powder at different electrode distances and
times. In this case, the electrode distance influenced the deposition
current during the coating process, and decreasing the electrode
distance resulted in more deposited hydroxyapatite. XRD analysis
confirmed the generation of crystalline HA phase and vaterite during the
EPD process. Optical microscopy revealed on the coated sample that the
porosity was still interconnected, with pore sizes ranging from several
microns. The electrophoretic coating had a time limit before the
deposition became ineffective due to the low deposition current. In the
future, the findings could provide a good strategy for preparing
metal-based medical implants coated with hydroxyapatite research. |
|
|
Full Text |
|
|
Title: |
Built-up area extraction using combination
of textural and spectral indices from landsat-8 data |
Author (s): |
Jumpol Itsarawisut and Teerawong Laosuwan |
Abstract: |
Built-up area is a significant type of land use related to the
urbanization. Categorizing the built-up area with satellite data is
another high demand for a relevant organization in order to inspect the
urban branch. The spectral and spatial features is one normal approach
to extract built-up class but it is seen that the classes; for example,
river soil and fallow land always combine with built-up class because of
the similarity and close spectral. The classes combination surveyed in
the categorized image after the spectral channel has been used. The
approach using urban based spectral indices and textural features to
extract built-up areas has been suggested in this study. The examples of
2 spectral indices used in this work are BAEI and NDBI. There is also
neighborhood regions’ local spatial dependency inspected employing
textural feature based on GLCM. Decision Tree Algorithm (J48) mixes all
of the bands of textural and spectral indices together for built-up
areas extraction. From the result, overall accuracy contained 3.30%
increase when texture and spectral indices are used comparing with 96.00
overall accuracy obtained when only spectral data is used. |
|
|
Full Text |
|
|
Title: |
Study of the influence of chemical
additives on the properties of fine-grained concrete |
Author (s): |
Uliya Abdikerova, Zhangyl Abilbek, Abzal
Shegenbayev, Anipa Tapalova and Karima Shatayeva |
Abstract: |
The
Republic of Kazakhstan has a huge territory, within which there is a
large number of locations, where the lack of water for irrigation,
satisfying the drinking needs of the population, livestock water and
etc. You can resolve this situation by building special water-conducting
facilities - channels intended for the transportation of water to the
consumer from the water source. The problems arising from the operation
of the channels are known for the past five thousand years, that is,
throughout the history of hydraulic engineering. They lead to such
environmental consequences as an increase in the level of groundwater.
Warning, secondary soil salinization, acidification, soil squeezing etc.
The root causes of these consequences are water losses from the
filtering channel. The most effective solution to this problem is the
device of various kinds of anti-filter clothing. One of these
anti-filtering activities is the device of monolithic concrete facing. |
|
|
Full Text |
|
|
Title: |
Design and evaluation of village-type rice
grain cleaner |
Author (s): |
Michael A. Gragasin, Trixie Marie P.
Magtalas, John Rey A. Cargamento and Genaro M. Tolentino |
Abstract: |
A new
type of efficient rice grain cleaner with de-stoner was successfully
developed in line with the absence of village-type rice grain cleaner in
the Philippines that can both remove light impurities and stones at the
same time. This was developed because of the inevitable accumulation of
stones during drying and the high presence of impurities in the rice
grain during harvesting that could cause damage to the rice mill and
eventually affect the efficiency and operation of the milling machine.
The developed technology relates to a rice grain cleaner with de-stoner
that efficiently separates rice straws, rice chaffs, immature grains,
tiny stones, dried leaves, dirt and other impurities from the rice grain
through the combination of two-stage air-screen and pressure-type
separation processes. The results of laboratory analysis of the
collected rice grain samples revealed that the developed rice grain
cleaner has a cleaning efficiency of 98.7 percent with de-stoner
efficiency of 100 percent. These results indicate that the output of the
rice grain cleaner has purity of 98.9 percent. The developed rice grain
cleaner has passed the set Philippine agricultural engineering standard
for seed cleaner of 98 percent. The results of test performance indicate
that the design of the said machine is successful in utilizing the same
amount of air that initially used at the de-stoner for the air-screen
cleaner so that it can both functions as air-screen cleaner and
de-stoner. |
|
|
Full Text |
|
|
Title: |
Exploratory quantitative study of optimal
advanced manufacturing process plan selection using a swarm intelligence
technique |
Author (s): |
Agarana Michael C., Akinlabi Esther T. and
Pule Kholopane |
Abstract: |
Integration of different phases of production process is one of today’s
problems in manufacturing. This exploratory study attempts to address
this issue by selecting the best manufacturing process plan through the
application of swarm intelligence technique - Ant Colony Optimization (ACO)
technique. The problem was simulated and modelled with some assumptions.
Series iterations were carried out using the ACO algorithm. The results
obtained revealed that an optimal manufacturing process plan selection
can lead to optimal time and cost of turning raw materials to finished
parts, which directly impacts on the efficiency of any manufacturing
organisation. |
|
|
Full Text |
|
|
Title: |
A leaf disease image classifier using deep
residual networks and YOLOv3 object detection algorithm |
Author (s): |
Jessica S. Velasco, Gilbert B. Hollman,
Nilo Arago, Roel Mendoza, Nikka Marie D. Manuel, Ernel Angelo D. Zulueta
and Lean Karlo S. Tolentino |
Abstract: |
Nowadays, technology has been part of everyone’s life. Technology
advancements are now making a new phase in the medical field. Emerging
machine learning technologies are beginning to transform agricultural
sciences and improve them in making such many ways. To aid in the
detection and classification of plant diseases, the study presents a
Deep Learning approach by examining the leaf of the given plan.
Furthermore, the categorization is performed in steps to eliminate
possibilities at each level, resulting in increased prediction accuracy.
To identify a leaf in the supplied image, a YOLOv3 object detector is
utilized. ResNet18 is used to analyze the leaf. ResNet18 model is were
trained to subject the transfer learning. Once that each layer is
identified, the type of leaf will check and the models of Convolutional
Neural Network will classify what diseases that occur in a plant. A
disease identification system with an accuracy of 96% was developed.
Research shows that management of crop diseases can help improve. |
|
|
Full Text |
|
|
Title: |
Analysis of mechanical and physical
properties of composite materials of reinforced epoxy reinforced woven
bamboo strips (Dendrocalamus Asper) |
Author (s): |
Frans Robert Bethoni, Chendri Johan,
Martina Pineng and Sallolo Suluh |
Abstract: |
This
study aims to obtain optimal mechanical properties of petung bamboo
strip reinforced composite (Dendrocalamus Asper) through tensile
strength testing with universal tensile test equipment (Testometric
Brand), and physical properties through microstructure testing equipment
with Scanning Electron Microscope (SEM) due to immersion. woven strips
of petung bamboo with brackish water. Petung bamboo is made in the form
of strips 1 mm thick, 10 mm wide, and 300 mm long and then woven and
then soaked in brackish water with salinity variations of 10, 20, and 30
parts per million (ppm) for 0, 2 , 4, 6, and 8 Sundays. The molded
composite consists of 60% epoxy resin and 40% catalyst as hardeners with
1, 2, and 3 ply woven strips and held for 12 hours. Composite printing
using the hand lay-up method, which is printing the composite manually.
For composites of 1 ply woven, epoxy resin is poured into a mold and
then woven and covered with epoxy resin and then pressed. For composites
of 2, 3 layers of webbing, the process is the same as for composites of
1 layer of webbing. The composite that has been removed from the mold
container is then left in the room for one week. Composites are repaired
to check whether there are defects or not, especially on the surface.
The next process is the manufacture of test samples, for tensile tests
based on ASTM (D638-02) and bending tests according to ASTM (D790-02).
Before the test is carried out, the sample is repaired first to ensure
that the sample is in a standard state to be ready to be tested. The
results of testing the optimal tensile strength of the petung bamboo
strip reinforced composite without immersion were 1 layer (36,436 MPa),
2 layers (45,840 MPa), and 3 layers (58,143 MPa). The optimal tensile
strength of composite with 1 ply woven, 10 ppm, and 8 weeks immersion
time (43.962 MPa) increased (17,119%). The optimal tensile strength of
composite with 2 layers of woven, 10 ppm, 2 weeks immersion time (56,443
MPa) increased (18.785%). The optimal tensile strength of composites
with 3 layers of woven, 10 ppm, and 2 weeks of immersion (65,479 MPa)
increased (11,204%). The optimal tensile strength of the composite with
1 ply woven 20 ppm and immersion time of 4 weeks (46,437 MPa) increased
(21,537%). The optimal tensile strength of the composite with 2 layers
of 20 ppm woven, and the immersion time of 4 weeks (50.921) increased
(9.978 %). The optimal tensile strength of the composite with 3 layers
of 20 ppm woven for 4 weeks (61,534) increased (5,511 %). The optimal
tensile strength of composite with 1 ply woven, 30 ppm, and 6 weeks
immersion time (45,337 MPa) increased (6,851 %). The optimal tensile
strength of the composite with 2 layers of woven, 30 ppm, and 4 weeks of
immersion time (48,946 MPa) increased (6,346 %). The optimal tensile
strength of composite with 3 layers of woven, 30 ppm, and 4 weeks
immersion time (61.408 MPa) increased (5.317%). By paying attention to
the changes that occur in each layer and treatment, it can be stated
that the most significant increase in tensile strength was at 4 weeks
immersion at 20 ppm salinity and 1 layer woven, which increased (21.537
%). The Scanning Electron Microscope (SEM) results show that between the
matrix and the woven bamboo strips of petung, some parts of the surface
do not seem to bind together. This is due to the length of immersion so
that the petung bamboo strip woven shows damage, especially on the
surface. |
|
|
Full Text |
|
|
|
|
|