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A Mini Project Report submitted in partial fulfillment of requirement for the award of the Degree
of
BACHELOR OF ENGINEERING
in
Electronics and Telecommunication Engineering
Submitted by:
Submitted on:
BANGALORE INSTITUTE OF TECHNOLOGY
DEPARTMENT OF ELECTRONICS AND TELECOMMUNICATION ENGINEERING
K.R. Road, V.V.Pura, Bengaluru-560004
CERTIFICATE
Certified that the Mini project entitled Design of Microstrip Patch Antenna for WSN application
work carried out by K RAGHVENDRA RAO (1BI21ET014), KAVYA KARTIK
(1BI21ET016), BHAGAT SINGH (1BI21ET021),a bonafide student of Bangalore Institute of
Technology in partial fulfillment for the award of Bachelor of Engineering Degree in Electronics
and Telecommunication Engineering of the Visvesvaraya Technological University, Belagavi
during the year 2024-2025. It is certified that all corrections/suggestions indicated for internal
assessment have been incorporated in the report deposited in the Department Library. The Mini
project Report has been approved as it satisfies the academic requirements in respect of Mini
project work prescribed for the said Degree.
Evaluator:
Prof Bhavya A R
Asst Professor
Signature:
ii
ACKNOWLEDGEMENT
It would be our privilege to express our heartfelt gratitude and respect to thank all those
who guided us in the completion of the Mini Project work. We are highly indebted to
Rajya Vokkaligara Sangha trust for introducing a great educational institute for studies.
We express our deep sense of gratitude to our beloved Principal Dr.Ashwath M.U., for
providing an excellent academic environment which enabled us to complete our mini
project successfully.
We would like to thank our Head of Department, Department of Electronics and
Telecommunication Engineering Dr.M.Rajeswari, for her constant encouragement and
support throughout the course of engineering in the institution.
We would like to express our heartfelt gratitude and thank to our mini project coordinator
Dr. Girish Kumar N G, Assistant Professor, Department of Electronics and
Telecommunication Engineering, for his constant guidance during the course of project
phase.
We would like express our heartfelt gratitude to our project internal guide Prof Sudha B,
Asst Prof, Department of Electronics and Telecommunication Engineering, for her
constant support and guidance during the project.
I am grateful to all the teaching and non-teaching staff of the Department of Electronics
and Telecommunication Engineering, for their support and cooperation and I would like
to thank my parents for their constant moral support and encouragement throughout the
completion of the Seminar.
iii
ABSTRACT
This project focuses on the design and simulation of a microstrip patch antenna for
Wireless Sensor Network (WSN) applications, utilizing HFSS (High-Frequency Structure
Simulator) software and an FR-4 epoxy substrate. The objective is to develop an efficient
and cost-effective antenna tailored for the 2.4 GHz frequency band, commonly used in
WSNs due to its favourable propagation characteristics.
The choice of FR-4 epoxy substrate, with a relative dielectric constant of 4.4 provides a
balance of performance, availability, and cost-effectiveness. These properties are crucial in
determining the antenna's resonant frequency and overall efficiency.
The design process involves optimizing the dimensions of the rectangular microstrip patch
antenna to achieve the desired frequency and performance metrics. HFSS simulation tools
are employed to model the antenna's behaviour, allowing for precise adjustments and
performance predictions. Key parameters analysed include return loss (S11), gain,
radiation pattern, and bandwidth.
The simulation results demonstrate that the designed antenna achieves a return loss below -
10 dB at the target frequency of 2.4 GHz, indicating good impedance matching.
By using FR-4 epoxy substrate, the project underscores the practicality and feasibility of
developing efficient antennas for WSN applications without incurring high costs associated
with more specialized substrates. The findings provide valuable insights into the trade-offs
and design considerations necessary for achieving a balance between performance and cost
in antenna design.
This work contributes to the field of wireless sensor networks by presenting a detailed
methodology for designing and simulating microstrip patch antennas using accessible
materials and advanced simulation tools. The successful implementation of this design in
HFSS validates the approach and highlights its potential for widespread application in
educational and practical WSN deployments.
iv
TABLE OF CONTENTS
Title Page No
Acknowledgement iii
Abstract iv
List of Figures vi
List of Tables vii
List of Abbreviations viii
1
CHAPTER 1 : INTRODUCTION
1.1 Introduction…………………………………………………………………………
1
1
1.2 Antenna……………………………………………………………………..
2
1.3 Microstrip patch antenna……………………………………………………
3
CHAPTER 2 : LITERATURE SURVEY
3
2.1 Literature Survey…………………………………………………………...
6
CHAPTER 3 : METHODOLOGY
9
3.1 Design Flow………………………………………………………………..
10
CHAPTER 4 : SOFTWARE REQUIREMENT
10
4.1 About HFSS………………………………………………………………..
10
4.2 Key Features of HFSS……………………………………………………...
12
4.3 Implementation of Design using HFSS…………………………………….
20
CHAPTER 5 : RESULT & DISCUSSION……………………………………
30
CHAPTER 6 : APPLICATIONS………………………………………………
31
CHAPTER 7 : CONCLUSION AND FUTURE WORK…………………….
35
REFERENCE…………………………………………………
36
APPENDIX……………………………………………………
v
List of Figures
vi
List of Tables
vii
Abbreviations
Abbreviation Description
WSN Wireless Sensor Network
HFSS High-Frequency Structure Simulator
FEM Finite Element Method
EMC Electromagnetic Compatibility
EMI Electromagnetic Interference
RF Radio Frequency
PCB Printed Circuit Board
IC Integrated Circuit
ISM Industrial, Scientific, and Medical (frequency band)
S11 Reflection Coefficient
VSWR Voltage Standing Wave Ratio
GHz Gigahertz
dB Decibel
CAD Computer-Aided Design
DXF Drawing Exchange Format
IGES Initial Graphics Exchange Specification
STEP Standard for the Exchange of Product Model Data
THz Terahertz
viii
Design of Microstrip Patch Antenna for WSN Application 2023-2024
CHAPTER 1
INTRODUCTION
1.1 INTRODUCTION
Micro strip antennas are low-profile antennas. A metal patch mounted at a ground
level with a dielectric material in-between constitutes a Micro strip or Patch Antenna.
These are very low size antennas having low radiation. Micro strip patch antennas
have become more popular in the area of wireless communication The polarization
of an antenna is defined as the direction of the electromagnetic fields produced by the
antenna as energy radiates away from it. Matching the polarization in both the
transmitter and receiver antennas is important in terms of decreasing transmission
losses.
1.2 ANTENNA
Antenna is a transitional structure providing transition of EM waves between guided
wave and free space wave. Antenna being an impedance transducer converts guided
EM wave into unguided free space EM wave. Antenna parameters such as reflection
co-efficient, VSWR (Voltage Wave Standing Ratio), directivity, Gain, Radiation
pattern, bandwidth plays a vital role in choosing the antenna for a specific
application. It is necessary to have uncompromised results for a particular application
along with miniaturized models which are compatible with existing systems.
• These are very low size antennas having low radiation. Micro strip patch
antennas have become more popular in the area of wireless communication.
CHAPTER 2
LITERATURE SURVEY
Chapter 3
METHODOLOGY
• In the current work, design of a antenna with 100 MHz characteristics has been
outlined.
• It was simulated using a FR4 substrate.
• The dielectric constant of the substrate was 4.4 with a thickness of 1.6 mm and air
substrate of thickness 5 mm to get an equivalent dielectric constant of around
1.3 to get a bandwidth of around 100MHz in the Wi-Fi (2.4Ghz) frequency band.
• The selection. of width and the length of the antenna was in accordance to tuning it
to respective frequency band. The patch length value of the antenna has been
outlined to be at half of the wavelength of the guide relating to a frequency of
2.4Ghz.
• Impedance matching was achieved between the antenna and the port using coaxial
type feeding technique.
• The coaxial type of feed is placed at the edge of the patch to attain the required
value of around 50 ohm impedance.
𝑳 = 𝑳𝒆 − 𝟐𝜟𝑳
…(2)
𝒉
𝜟𝑳 = …(3)
√𝜺𝒆
𝒄
𝑳𝒆 = …(4)
𝟐𝑭𝟎 √𝜺𝒆
𝒄
𝒘=
𝜺 +𝟏 …(5)
𝟐𝑭𝟎 √ 𝑹 𝟐
𝜺𝑹 𝒉 + 𝜺𝑹 𝚫
𝜺𝒆𝒒 = …(6)
𝜺𝑹 𝚫 + 𝒉
Where,
Equation (1) represents the effective dielectric constant (𝜺𝒆 ) in terms of dielectric
constant of the substrate (𝜺𝑹 ), height or thickness of the substrate (𝒉) and width of
the patch (𝒘)
Equation (2) is used for calculating the physical length of the patch (𝑳). It is slightly
smaller than the effective length (𝑳𝒆 ) of the substrate.
Equation (3) is for calculating extension length (𝜟𝑳) of the patch used for calculating
physical length.
Equation (4) is used for effective length calculation. It is inversely proportional to the
operating frequency (𝑭𝟎 ) and effective dielectric constant of the substrate.
Equation (5) is used as a starting point for calculating the width of the patch for
the operating frequency (in our case 2.4GHz) and is fine-tuned through simulations.
Equation (6) is used to calculate the equivalent dielectric constant between the
ground plane and the patch. It is related to the thickness of the substrate and air gap
(𝚫) as shown. [1][2]
Suspended Configuration
A suspended configuration microstrip patch antenna is designed to improve
performance parameters such as bandwidth, efficiency, and radiation pattern by
employing a specific mounting arrangement. In this design, the patch is suspended
above a dielectric substrate, rather than being directly mounted on it. This
configuration can be achieved through various methods, including the use of support
structures or an additional layer of dielectric material.
initial simulation
Figure 3.2: Design flow process for the Rectangular Microstrip Patch antenna
CHAPTER 4
SOFTWARE REQUIREMENT
4.1 ABOUT HFSS
HFSS (High-Frequency Structure Simulator) is a leading simulation tool developed
by Ansys for analyzing the electromagnetic behavior of high-frequency and high-
speed components. Renowned for its accuracy and advanced capabilities, HFSS is
essential for engineers and researchers in the fields of RF, microwave, and
millimeter-wave device design. By leveraging the Finite Element Method (FEM) and
other numerical techniques, HFSS provides precise solutions to Maxwell's equations,
enabling detailed insight into electromagnetic fields and wave propagation in
complex structures.
It caters to a wide range of applications, from antenna design and signal integrity
analysis to electromagnetic compatibility (EMC) and electromagnetic interference
(EMI) studies. For instance, in antenna design, HFSS can model and optimize
various types of antennas, including patch, dipole, and array configurations, ensuring
optimal performance in terms of gain, radiation pattern, and impedance matching. In
the realm of high-speed digital circuits, HFSS helps in assessing and mitigating
signal loss, crosstalk, and impedance mismatches in PCBs and IC packages, ensuring
robust signal integrity.
3. 3D Modeling:
• Creation of Geometries: HFSS provides powerful tools to import CAD files or start
from scratch when building intricate 3D geometries. Standard formats including
DXF, IGES, and STEP are supported.
• Material Definition: To accurately simulate real-world materials, users can create and
assign materials with certain electromagnetic properties (permittivity, permeability,
and conductivity) to various areas of the model
2. After Drawing the box in the 3D view, a new solid model is created in the panel list.
Expand the solids view in the panel and select the box icon. A dialog box appears on
the screen where the various box properties can be changed. To identifying the
component of the Microstrip antenna, name the box as substrate. Since we are using
FR-4 Epoxy substrate for our design, the material is changed to FR-4 epoxy by
selecting the material settings and clicking on edit. In the new dialog box go to
search bar and type FR4_epoxy and click on OK.
4. Similarly for creating a ground plane instead of a box, the rectangular shape is
selected from the options under the draw option in the taskbar and the similar steps
are followed.
5. Next, the patch is designed by selecting draw, the choosing rectangle from the
options and then approximately drawing the rectangle in the 3D view. Now from
under the list of components under sheets, select the rectangle, name it as patch and
once the sheet properties are chosen, select the create rectangle option by expanding
the patch list and give the appropriate position of the patch with respect to the other
components such as ground and substrate and the dimensions of the patch as it is the
most important part of the design
7. The coaxial feed is created by creating 3 cylinders- one cylinder for the outer part of
the cable which is connected to the ground plane the other cylinder for representing
the dielectric material, and the last cylinder for the inner conductor which is
connected to the feed of the patch. Then the port is assigned to the bottom of the
cylinder for providing energy for feeding to the patch.
8. The port is created by drawing a circle and placing it at the bottom of the coaxial
cable feed, providing basic properties and assigning dimensions, in this case radius to
the port. Then right click the port and choose ‘assign excitation’ option and then
choose port from the sub option and selecting terminal lumped port.
9. The final steps remaining are to create a radiation box for simulation purposes and
setting up the analysis setup for simulation. The analysis setup is opened by selecting
Analysis option in the project manager window and right-clicking it and choosing
add solution setup. In the dialog box that opens, write the resonant operating
frequency in the frequency box and then pressing Ok. In the next dialog box give the
range of frequency for the sweep and increase or decrease the number of points for
high resolution but more computation time or low resolution but low computation
time
10. Finally, the is checked for any errors by clicking validate in options from the
simulation taskbar and then clicking on ‘Analyze All’.
CHAPTER 5
5.1 GAIN
1) Image Description:
• The above image, Figure 5.1, is a 3D radiation pattern plot generated using Ansys
HFSS software.
• The plot represents the gain of the designed microstrip patch antenna.
• The gain is color-coded, with red indicating maximum gain and blue/green
indicating lower gain values.
• The color scale on the left shows the gain values ranging from -35 dB to +10 dB.
2) Maximum Gain:
• The maximum gain achieved by the antenna is 10 dB, as indicated by the top of
the color scale.
• The red region in the plot shows the direction where the maximum gain occurs,
which is along the main lobe of the antenna's radiation pattern.
3) Radiation Pattern:
• The plot shows a typical directional radiation pattern for a microstrip patch
antenna.
• The main lobe is oriented in the positive Z-axis direction, indicating that the
antenna radiates most strongly in this direction.
The radiation pattern is relatively symmetrical, suggesting a well-designed
antenna with a consistent performance in the desired direction.
4) Gain Distribution:
• The gain decreases gradually from the main lobe to the side lobes and back lobes.
• The yellow and green regions indicate areas where the gain is lower than the
maximum but still relatively high.
• The blue and green regions at the bottom and sides indicate areas with the lowest
gain, approaching -31.93 dB, as shown at the bottom of the scale.
5) Side Lobes and Back Lobes:
• The presence of side lobes is minimal, indicating good directivity and reduced
radiation in unwanted directions.
• The back lobes are small, suggesting minimal radiation behind the antenna,
which is beneficial for reducing interference and improving efficiency.
1) Image Description:
• The above image, Figure 5.2, is a plot of the reflection coefficient (S11) for a
microstrip patch antenna, generated using Ansys HFSS software.
• The plot shows the reflection coefficient (in dB) versus frequency (in GHz) over
the range of 2.0 GHz to 3.0 GHz.
• Three markers (m1, m2, m3) highlight specific points on the curve, providing
values for frequency and reflection coefficient.
2) Minimum Reflection Coefficient (S11):
• The lowest point on the curve occurs at marker m1, indicating the best
impedance match.
• At m1, the reflection coefficient is -18.5798 dB at 2.4000 GHz.
• This suggests that the antenna is well-matched at this frequency, with minimal
reflection and maximum power transfer.
3) Operational Bandwidth:
• The markers m2 and m3 provide insight into the bandwidth around the central
frequency.
• At m2 (2.3266 GHz) and m3 (2.4673 GHz), the reflection coefficient values are -
10.1773 dB and -10.2193 dB, respectively.
• Typically, a reflection coefficient below -10 dB is considered acceptable for
practical applications, indicating that the antenna operates efficiently within this
frequency range.
• The operational bandwidth can be estimated by calculating the frequency range
between m2 and m3: 2.4673 GHz - 2.3266 GHz = 0.1407 GHz or 140.7 MHz.
4) Frequency Range:
• The antenna operates effectively from approximately 2.3266 GHz to 2.4673
GHz, centered around 2.4 GHz.
• This range covers the 2.4 GHz ISM band, commonly used for Wi-Fi, Bluetooth,
and Wireless Sensor Networks (WSNs).
5) Performance at 2.4 GHz:
• The reflection coefficient at 2.4 GHz (m1) is significantly below -10 dB,
indicating excellent performance and impedance matching at the target
frequency.
• This ensures that the antenna can effectively transmit and receive signals at 2.4
GHz with minimal loss.
1) Image Description:
• The above image,Figure 5.3, is a Voltage Standing Wave Ratio (VSWR) plot for
a microstrip patch antenna, generated using Ansys HFSS software.
• The plot shows VSWR versus frequency over the range of 2.0 GHz to 3.0 GHz.
• Three markers (m1, m2, m3) highlight specific points on the curve, providing
values for frequency and VSWR.
2) Minimum VSWR:
• The lowest VSWR is observed at marker m1, which indicates the best impedance
match.
• At m1, the VSWR is 1.2670 at 2.4000 GHz.
• A VSWR close to 1 indicates minimal reflection and maximum power transfer,
suggesting optimal performance at this frequency.
3) Operational Bandwidth:
• Markers m2 and m3 provide insights into the VSWR values around the central
frequency.
• At m2 (2.3216 GHz) and m3 (2.4724 GHz), the VSWR values are 1.9732 and
1.9632, respectively.
• Typically, a VSWR below 2 is considered acceptable for practical applications,
indicating that the antenna operates efficiently within this frequency range.
• The operational bandwidth can be estimated by calculating the frequency range
between m2 and m3: 2.4724 GHz - 2.3216 GHz = 0.1508 GHz or 150.8 MHz.
4) Frequency Range:
• The antenna operates effectively from approximately 2.3216 GHz to 2.4724 GHz,
centered around 2.4 GHz.
• This range covers the 2.4 GHz ISM band, commonly used for Wi-Fi, Bluetooth,
and Wireless Sensor Networks (WSNs).
5) Performance at 2.4 GHz:
• The VSWR at 2.4 GHz (m1) is significantly below 2, indicating excellent
performance and impedance matching at the target frequency.
• This ensures that the antenna can effectively transmit and receive signals at 2.4
GHz with minimal loss and reflection.
• Red Curve: Represents the radiation pattern in the E-plane (Phi = 0 degrees).
• Green Curve: Represents the radiation pattern in the H-plane (Phi = 90 degrees).
1) Radiation Pattern Symmetry:
• The red and green curves indicate the radiation patterns in two orthogonal planes.
• The patterns are not perfectly circular, suggesting directional radiation rather than
isotropic (equal in all directions).
2) Main Lobe Direction and Width:
• The main lobes in both the E-plane and H-plane show the direction in which the
antenna radiates most of its power.
• The width of the main lobes indicates the beamwidth, which is the angular width
where the radiation power falls to half its maximum value (-3 dB point).
5.5 DIRECTIVITY
EXPLANATION:
1) Color Scale:
• The color scale on the left indicates the directivity values in decibels (dB).
• Red represents the highest directivity, while green, blue, and other colors
represent lower directivity values.
2) Max and Min Directivity:
• The maximum directivity is 10.05 dB, as shown at the top of the color scale.
• The minimum directivity is -31.89 dB, as shown at the bottom of the color scale.
3) Radiation Pattern Shape:
• The 3D plot shows the directional characteristics of the antenna's radiation.
• The main lobe, where the highest directivity is observed, is colored in red,
indicating the direction in which the antenna radiates most of its power.
• Side lobes and back lobes are also visible, with different colors indicating lower
directivity values.
4) Orientation:
• The plot is oriented with respect to the coordinate system shown at the bottom
CHAPTER 6
APPLICATIONS
Microstrip patch antenna has wide variety of applications in different domains, some
of the domains where it is being used are,
CHAPTER 7
7.1 CONCLUSION
The designed microstrip patch antenna meets the key performance criteria for WSN
applications, including:
While the current design and analysis of the microstrip patch antenna have
demonstrated promising results, several avenues for future work can be explored to
further enhance the antenna's performance and applicability in Wireless Sensor
Networks (WSNs). Here are some potential directions for future work:
1. Bandwidth Enhancement:
• Multi-band Antenna Design: Develop antennas that can operate over multiple
frequency bands, allowing compatibility with various WSN standards and
applications.
• Wideband Techniques: Implement techniques such as using multiple resonators,
parasitic elements, or fractal geometries to increase the bandwidth of the
antenna.
2. Miniaturization:
• Compact Designs: Explore techniques for miniaturizing the antenna further
without significantly compromising performance. This can involve using high-
permittivity substrates, meandered lines, or folded patch designs.
• Integration with Electronics: Investigate methods for integrating the antenna with
other electronic components on a single substrate to reduce the overall footprint
of WSN nodes.
3. Polarization:
• Circular Polarization: Develop circularly polarized antennas to mitigate the
effects of multipath propagation and improve communication reliability in
complex environments.
• Dual Polarization: Design antennas with dual polarization capabilities to increase
the diversity and robustness of the communication link.
4. Environmental Adaptability:
• Flexible and Wearable Antennas: Design flexible or conformal antennas using
materials like conductive textiles or flexible polymers for applications in
wearable technology and flexible electronics.
• Environmental Robustness: Test and optimize the antenna's performance under
various environmental conditions, such as temperature variations, humidity.
5. Antenna Arrays:
• Array Design: Develop antenna arrays to increase gain, directivity, and beam-
steering capabilities. This can improve communication range and coverage in
WSNs.
• Beamforming Techniques: Implement beamforming techniques to dynamically
adjust the radiation pattern and optimize signal strength and coverage.
6. Simulation and Optimization:
• Advanced Simulation Tools: Use more advanced simulation tools and
optimization algorithms to fine-tune the antenna design parameters for optimal
performance.
• Machine Learning: Explore the application of machine learning techniques to
predict and optimize antenna performance based on design parameters and
environmental conditions.
7. Experimental Validation:
• Prototyping and Testing: Fabricate prototypes of the antenna and conduct
extensive experimental validation to compare simulation results with real-world
performance.
• Field Trials: Deploy the antenna in actual WSN deployments to assess
its performance in real-world scenarios and gather data for further
improvements.
8. Energy Harvesting Integration:
• Energy Harvesting Antennas: Investigate the integration of energy harvesting
capabilities into the antenna design to power WSN nodes using ambient RF
energy, reducing the dependency on battery power.
9. Security and Privacy:
• Secure Communication: Develop antennas with built-in features for secure
communication, such as frequency hopping or encryption capabilities, to
enhance the security and privacy of WSNs.
REFERENCES
1) Design of Directional Two L shaped Microstrip Patch Antenna for WSN Applications
Using Sea Lion Optimization Algorithm.
2) Girish Kumar, K.P. Ray - Broadband Microstrip Antennas-Artech House Publishers
(2002).
3) 2.4GHz Operational PSI-Shaped Patch Antenna Design for Multi-Purpose
Applications.
4) Design and Fabrication of Dual band Slotted Microstrip Patch_Antenna-3.5_GHz and
2.4 GHz.
5) Design of a Microstrip Circular Patch Antenna at 2.4 GHz Using HFSS for IoT
Application.
6) Design of Rectangular Microstrip Patch Antenna for 2.4 GHz applied a WBAN.
7) Design of Rectangular Microstrip Patch Antenna for Wi-Fi Application Enhancement
of Bandwidth and Gain.
8) Performance Analysis of Rectangular Microstrip Patch Antenna with Different
Substrate Material at 2.4 GHz for WLAN Applications.
9) Simulation Study of High Gain 2.45 GHz Wearable Microstrip Patch Antenna for
WSN Applications.
10) John. D. Kraus, Ronald J. Marhefka - Antennas-for-All-Applications.
11) Kraus - Antennas And Wave Propagation (Sie) 4E-Mc Graw Hill India (2010).
12) P. Bhartia, Inder Bahl, R. Garg, A. Ittipiboon - Microstrip Antenna Design Handbook
(Artech House Antennas and Propagation Library)-Artech House Publishers (2001).
13) Samuel Y. Liao - Microwave Devices and Circuits-Prentice Hall (1985).
APPENDIX
WEEKLY REPORT
• PEO1: Solve complex technical problems and design systems that are useful to society by
applying the fundamental scientific principles that underpin the Telecommunication
Engineering profession.
• PEO2: Graduates work productively as Telecommunication Engineers, including
supportive and leadership roles on multidisciplinary teams.
• PEO3: Be sensitive to the consequences of their work, both ethically and professionally,
for productive professional careers.
• PSO1: Analyze and Design Analog & Digital modules for a given specification and
function.
• PSO2: Implement functional blocks of hardware-software co-designs for Embedded
Systems, Signal Processing, Communication and Networking Applications.
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