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DEMAND RESPONSE MANAGEMENT USING SMART METERS By: Srividhya.B ,Summer Intern Fellow, Guide / Supervisor : Dr. K.S. Swarup College: S.S.N College Of Engineering, email:[email protected] Duration : From 18.05.2015 to 17.07.2015 Dept of Electrical Engineering. Indian Institute of Technology, Madras Abstract: A demand response based dynamic load control scheme is employed in the proposed model where ,electric power assignment is not only based on initial data of the household in the local grid, but it also takes some real-time information into consideration. A technique called Multi Agent System is employed in which electric Smart Meters and distributed controllers are used to communicate between various households in the local grid and between various houses within a particular household thus establishing an economical Power Market. An effective cost based power sharing scenario in a proposed architectural network was developed and implemented using JADE and MATLAB. Objectives: To develop an architecture for Demand response management system of a household network. To propose and implement an effective power scheduling communication protocol using smart meters. To make use of the Smart meters in establishing an effective power market network. Results(MATLAB) Schematic Results (JADE) Conclusions: Consumer can schedule operation of regulatable loads based on their priorities. Establishment of effective power Market strategies. Making efficient use of unused power. Exploiting the functions of the Smart Meters to the fullest to achieve an effective power market protocol in the local neighbourhood. .

Objectives: Schematic Results (JADE) · module in ns-3 and trace the flow of function ... Pcap Trace – Wireshark (Mobile ... If we need to send a SMS containing characters that

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DEMAND RESPONSE MANAGEMENT USING SMART METERS

By: Srividhya.B ,Summer Intern Fellow, Guide / Supervisor : Dr. K.S. Swarup

College: S.S.N College Of Engineering, email:[email protected]

Duration : From 18.05.2015 to 17.07.2015

Dept of Electrical Engineering. Indian Institute of Technology, Madras

Abstract: A demand response based dynamic load control scheme is employed in the proposed model where ,electric power assignment is not only

based on initial data of the household in the local grid, but it also takes some real-time information into consideration. A technique called Multi

Agent System is employed in which electric Smart Meters and distributed controllers are used to communicate between various households in the

local grid and between various houses within a particular household thus establishing an economical Power Market. An effective cost based power

sharing scenario in a proposed architectural network was developed and implemented using JADE and MATLAB.

Objectives: To develop an architecture for Demand response

management system of a household network.

To propose and implement an effective power scheduling

communication protocol using smart meters.

To make use of the Smart meters in establishing an effective

power market network.

Results(MATLAB)

Schematic Results (JADE)

Conclusions:

Consumer can schedule operation of

regulatable loads based on their

priorities.

Establishment of effective power

Market strategies.

Making efficient use of unused power.

Exploiting the functions of the Smart

Meters to the fullest to achieve an

effective power market protocol in the

local neighbourhood.

.

HOME AUTOMATION USING POWERLINE COMMUNICATION

Summer Intern Fellowship: EE15SFP2169, Guide / Supervisor Dr Devandra Jalihal

College / Institution: IIITDM Kancheepuram, email:[email protected] , Duration 20-05-15 to 17-07-15

Dept of Electrical Engineering. Indian Institute of Technology, Madras

Abstract: From large-scale machines to micron size chips have one thing in common they are driven by A.C mains but, in general, data

is never sent or received through them. The project aims at using power line communication between devices to communicate the

load status/information . Having the details of all devices in an apartment at a central hub enables intelligently use this data for power

conservation. A request based protocol with acknowledgement was implemented on the PIC microcontrollers to communicate the

information to a central node(Master).

Objectives:

To implement the communication protocol on the PIC micro controllers

to transmit the acquired data.

Implement a repeater that enables long distance

communication

Packet Format

.

Data Communication

Experimental Setup

Results

Conclusion : A central hub within an apartment can acquire data regarding power consumption of all the houses, and intelligently

use this data for power conservation, all without using any extra wiring exclusively for communication

DYNAMIC USER ASSOCIATION IN NETWORK SIMULATOR 3

Name : S.Varsha, Summer Fellowship Intern, Guide : Dr. Venkatesh Ramaiyan

Institution : SSN College of Engineering, email: [email protected],

Duration: From 22-5-2015 to 17-7-2015

Dept of Electrical Engineering. Indian Institute of Technology, Madras

Abstract: Network Simulator-3 is an open-source discrete event network simulator publicly available for research, development and use, under the

GNU GPLv2 license. The available model set in ns-3 focuses on modelling how Internet protocols and networks work. New models are built and

existing models are debugged from the contributions made by the research community. Dynamic user association in WLANs requires the wireless

clients to assess and identify the “best” APs to affiliate with based on certain metrics such as load and SNR.

Objectives:

To study and understand the features of the existing Wi-Fi

module in ns-3 and trace the flow of function calls during

different phases of user association.

Implement and understand the association of a client with

AP and also the data transfer when the client is mobile.

Implement a Dynamic user association algorithm in ns-3.

Wifi Architecture and Flow of function calls

Pcap Trace – Wireshark

(Mobile Client problem)

Future Work: Implementation of a

dynamic user association algorithm in

ns-3 could be done. Unlike the present

scenario in ns-3, where a client

automatically gets associated to an AP

immediately after hearing a beacon from

the AP, Dynamic User Association helps

to enable wireless clients choose “best”

APs based on different metrics.

.

(AP side) (client side)

Wi-Fi architecture in ns-3 Flow of Beacon from

AP to client

Animation Trace – Netanim

Reference :

https://www.nsnam.org/docs/tutorial/htm

l/

RESEARCH POSTER PRESENTATION DESIGN © 2012

www.PosterPresentations.com

Introduction

Consider an example where the muscles

below the elbow are paralyzed while the

biceps & triceps have almost full movement.

The bicep muscle can be used to trigger the

electrical muscle stimulator in order to

contract the paralyzed muscle.

This can be further modified by triggering

the stimulator only when a sequence of

action is done ( i.e to twitch the predefined

muscle in a sequence to trigger the electrical

muscle stimulator. ) Hence, it can restore

the movement of paralyzed muscle with

some degrees of freedom.

Electromyography

EMG is a technique for evaluating and

recording the electrical activity produced

by skeletal muscles. These signals are

essentially made up of superimposed motor

unit action potentials (MUAPs) from

several motor units. For a thorough

analysis, the measured EMG signals can be

decomposed into their constituent MUAPs.

For the trigger, we need only the magnitude

of the EMG signal and we don’t really have

to decompose the signal.

Functional Electrical Stimulator

Functional Electrical Stimulator, also

known as neuromuscular electrical

stimulation (NMES)

or electromyostimulation, is the elicitation

of muscle contraction using electric

impulses. The impulses are generated by a

device and delivered through electrodes on

the skin in direct proximity to the muscles

to be stimulated. The impulses mimic the

action potential coming from the central

nervous system, causing the muscles to

contract.

The circuit has six

stages… First stage is a difference amplifier INA106 with gain G=110. It amplifies the difference in voltage between the inverting and non-inverting terminals. Mid- muscle electrode is connected to the inverting terminal and the end muscle electrode is connected to non-inverting terminal.

Stage 2is a simple inverting amplifier with gain equal to 15. Output from the difference amplifier is in the order of 0.1 volts and hence it must be amplifier before rectification. Stage 3 is a first order high pass filter with cutoff frequency of 10Hz used to block the DC offset and low frequency noise. It is usually designed for cutoff frequency 10~20Hz.

Stage 4: The mean of the raw EMG signal is zero. Once this signal is passed through a full wave rectifier, it has both DC and AC components. AC component is removed using a low pass filter in the next stage. Hence, the magnitude of DC voltage is proportional to strain on the muscle.

Stage 5: The output of the rectifier is a pulsating DC signal. Using a low pass filter (with cutoff frequency between 2~4Hz) we can pass on the smooth-DC signal to the next stage.

Stage 6:Stage 6 is an inverting amplifier with variable gain (G= 0~10). This stage is used for two reasons. Firstly, to cancel out the signal invert due to stage 5 (low pass filter) as the controller can read only positive voltage levels. Secondly, the gain can be varied which helps in calibration and fine tuning. The output is sampled at using a controller and the FES is triggered accordingly.

EMG circuit working

Circuit

Result

Using Electromyography Signals and IMU to Trigger Muscle Stimulator for Stroke Induced Movement Disorder

Principal Investigator:Dr. Ramakrishna Pasumathy

Student Researcher: Raghavendra P

Working overview

Amplifier and Filter design for EMG

The setup consists of two parts i.e. The

EMG which monitors the muscle activity of

our interest and accordingly, triggers the

muscle stimulator which in turn contracts

the paralyzed muscle by firing a sequence

of electrical currents to

activate nerves innervating extremities

affected by paralysis. Figure show the magnitude and frequency spectrum of the EMG signal taken over 25 seconds at 2 kHz. There is a There is increase in the amplitude of the signal when the muscle is flexed. From the frequency spectrum, most of the significant component is spread between 10Hz and 100Hz.

Conclusio

n We have used the EMG thresholds to

trigger the FES, therefore restoring the

movement of paralytic muscle using a

functional muscle. Further, we would

want to use an array of electrodes for

stimulation and also implement an

adaptive calibration technique with a

feedback control from the sensor fusion.

INTERFACING THE BROWSER AND SERVER USING GOLANG

Summer Intern Fellowship, Guide: Dr.Giridhar.K, Dr.Sendil Ramkumar, Dr.Arun Ayyar

College / Institution: SSN College of Engineering, email: [email protected] DurationMay-July

Dept of Electrical Engineering. Indian Institute of Technology, Madras

Abstract: Simulation for Electrical Engineers is always tedious and takes lot of efforts to write in languages

like C/C++. So,, Golang is recently developed language which overcomes many obstacles such as interfacing

and processor speeds and time

Objectives:

To develop an interface which enables easy access to

computing path loss for different path loss models

Compare the results between different pathloss models for

the same environment

Front End Display

Sample Results Conclusion

References

www.copterlabs.com/blog/json-what-it-is-how-it-works-how-to-use-it/

https://www.nsnam.org/docs/models/html/propagation.html

.

Thus this interfacing will

enable easy access to SINR

calculation for various

parameter of the antenna.

It helps in making the research

user friendly and saves coding

time for future researchers

Pedestrian Detection and Advanced Driver Assistance Systems By N.Srinath, Summer Fellowship Intern - 2015, Guided by Dr.A.N.Rajagopalan

Institution: SSN College of Engineering, email: [email protected]

Duration : From 21-5-15 to 17-5-15

Dept of Electrical Engineering. Indian Institute of Technology, Madras

Abstract : Pedestrian detection is an ADAS system with established datasets and robust algorithms helping in preventing automobile

accidents using Stereo Vision. HoG*+SVM is an established algorithm which provides better results in trainable systems.

Benchmarks and types of detection are discussed. Hough transform is used to identify the different lanes in lane detection, and spline

fitting is used for extrapolation. Speed braker detection uses auto-thresholding and color mapping for detection. Deep learning and

Hough Forest extensions are discussed. ( HoG – Histogram of Oriented Gradients .)

Objectives :

Study and analyse the paradigms in Advanced Driver Assistance

Systems and in particular Pedestrian Detection systems in real time

environments for pedestrian safety especially in non-ideal, Indian

road conditions.

Implement Pedestrian Detection , lane detection and speed-

braker detection.

HoG flowchart + SVM and Hough Lines

Result graph and Outputs.

Conclusions:

HoG,SVM gives a detection

rate of 14%, with a false +ve

of 84%.

Lane detection, speed braker

detection are achieved using

Hough transform and triangular

thresholding.

References : 1.Dalal, N., Triggs, HoG, CVPR.

2. Video Lane estimation,

McCall, 2005

DATA COMPRESSION OF INDIAN LANGUAGES

Summer Intern Fellowship, Guide / Supervisor DR. Devendra Jalihal

College / Institution: SASTRA UNIVERSITY , email: [email protected] Duration From 22/5- to 27/6

Dept of Electrical Engineering. Indian Institute of Technology, Madras

Abstract: In GSM environments, an SMS can contain up to 140 bytes(standard 8 bit bytes) of message data.. If we need to send a SMS containing

characters that are not a part of the standard GSM 7-bit set (Hindi, Tamil),then the text needs to be encoded in Unicode UCS-2 format where each

message size is limited to 70 16-bit characters. We have developed a mechanism such that the text to be encoded is split up in the form of clusters,

and the most occurring character occupies least amount of bit space and least occurring occupies most number of bits. Using this cluster

mechanism we can reduce the bit space occupied by a character.

Objectives:

To develop a Huffman algorithm to encode and decode the

data.

To improve the data compression rate to less than 7-bit.

To create a probability and frequency table of the encoded

characters.

Results

Results Results

*Data Compression of Indian languages

Conclusions:

With Huffman coding as the basis we

were able to encode and decode the data

successfully.

Also a probability and frequency table

of characters were created

. DataSource:http://www.geeksforg

eeks.org/greedy-algorithms-set-3-

huffman-coding/

BIOLOGICAL 3-D SEGMENTATION

Summer Intern Fellowship, Guide / Supervisor: Dr. Kaushik Mitra

College / Institution: Jadavpur Uniersity, email: [email protected] Duration From 22.5.15 to 24.7.15

Dept of Electrical Engineering. Indian Institute of Technology, Madras

Abstract: Biomedical image processing is a very broad field; it covers biomedical signal gathering, image forming, picture processing, and image

display to medical diagnosis based on features extracted from images. Processing and analysing these images in 2D do not convey total information

and therefore 3D reconstruction of images are required to get all the desired information like volume and surface area of objects of interest. My

project is about the 3D reconstruction and segmentation of infected liver cells, ultimate objective being able to compare the parameters of healthy

cells and infected cells in a liver of a human being.

Objectives:

To segment liver tissue Z stack in 3D which

consists of nuclei, cells and bi-canal tubes.

Input Data: 3D Z Stack of Liver Tissue

Approach: i) Direct 3-D Segmentation (With the help of software like FIJI, FarSight)

ii) 2-D to 3-D Segmentation (Our method)

Segment each image in 2D by Otsu thresholding and link them across Z-stack to form a 3D

reconstructed image by tracking centroid and area overlap of each object.

3D Segmentation of Cell

Data Source:

National Centre For Biological Science,

Bangalore.

Results: 3D Segmentation of Nuclei

2D segmented image

Corrected 3D Segments

Post-Processing Manual Intervention

2D segmented image

Corrected 3D Segments

Nuclei

Cells

Bicanal

Tubes

DSC APPLICATIONS IN POWER ELECTRONICS & DRIVES

Summer Intern Fellowship, Guide / Supervisor Dr. Lakshmi Narasamma

College / Institution: SJCE, Mysore, email: [email protected] Duration: 22-5-2015 to 17-7-2015

Dept of Electrical Engineering. Indian Institute of Technology, Madras

Abstract: Digital Signal Controllers are widely used for different applications. Control of electric drive systems with Digital Signal Processors (DSP) is today a very common task. For applications which demands extensive calculation power and speed, they make the suitable candidates. In Power Electronics, to obtain a very quick, robust control performance, DSC's are used. The C2000 series of processor have been widely used for motor drives' applications where the control algorithm is coded into the DSP.

Objectives:

To Study, Analyze and Test the Digital Signal Controller

TMS320F28335 development board.

Applications : Software & CPU Timer, PWM, DAC, ADC,SCI

To build 3 Phase AC-DC-AC Converter.

To use PWM technique for Inverter using TMS320F28335

V/f Control of Induction Motor

3Phase AC-DC-AC Converter

Inverter Testing Results

Conclusions:

Various Applications of DSC like

Software & CPU Timer, DAC,ADC,SCI

were tested and most accurate results

were obtained.

The developed board fire PWM pulses

to the gates of the inverter switches. The

motor was fed by the 3-phase inverter.

Control technique was coded in the DSC

with appropriate sensors of position of

the rotor shaft from the shaft encoders.

.

TMS320F28335 Board

DAC & ADC Result

Control of Mobile Inverted Pendulum

Summer Intern Fellowship, Name: Sneha P, Guide: Dr. Arun D. Mahindrakar

Institution: M. S. Ramaiah Institute of Technology, email: [email protected]

Dept of Electrical Engineering. Indian Institute of Technology, Madras

Abstract: Mobile robots have widespread applications in remote monitoring, surveillance, disaster zone search and space exploration. Inverted

pendulum is a two wheel unstable robotic platform that balances itself up in the vertical position with reference to the ground. The resulting

implementation manages to stabilize the robot in an upright position and reject disturbances such as pushes. The position and reduced attitude

control laws can be used for stabilizing the robots to an arbitrary location in the horizontal plane.

Objectives:

•Understanding the schematic and modeling of MIP along with

the control laws and its implications.

•Learning the hardware and position stabilization of MIP

•Triangle and square formations using MIPs and waypoint

trajectory tracking.

Model of MIP

Formation Results

Future work: A smooth control law

can be designed for the MIP robot to

have an almost global domain-of-

attraction for the one-dimensional

equilibrium submanifold. Obstacle

avoidance and formation control of

MIP robots can be evaluated using

the existing control law as the inner-

loop.

Reference: http://docslide.us/documents/stabilization-of-a-mobile-inverted-pendulum.html

DESIGN OF POWER AMPLIFIERS

Summer Fellowship Programme-2015, Guide / Supervisor:Dr.S.Aniruddhan

College / Institution: Amrita School of Engineering, email: [email protected]

Duration From 27.05.2015 to 17.07.2015

Dept of Electrical Engineering. Indian Institute of Technology, Madras

OBJECTIVE: To design a PA for the LTE cellular system is designed and simulated in UMC130nm CMOS process. The PA is configured to operate in 1.8GHz frequency band. It is capable of delivering modulated output power of 5dBm to a 50 load while meeting the stringent linearity requirements of the LTE standard. The PA was designed for a 1dB compression point of 12.1dBm and a phase distortion of 3degrees which is capable of giving desirable ACPR values.

DESIGN FLOW:

•The first step was to do a paper design and then proceed with the schematic in the software.

•For a 1db compression point of 12.1dBm it is calculated to have a value of 45mA of bias current.

•The first step in the circuit design is to set gm3 of the amplifier transistor should be set to zero by plotting gm3 curves (keeping Vds a constant)with respect to the VGS and then fix the value of Vgs to the point where it is intersecting x-axis.

•The next step was to fix VDD based on the output power required which turned out to be 2V for this design for an output power of 5dbm

•A Cascode transistor is added in order to increase the isolation between the input and output ports.

•Large on chip inductances are impractical and they have large DC resistances that causes undesired voltage drops. So, a resonant tank is added at the drain of the cascode for using an RF inductor and a capacitor.

•Based on the Voltage gain required gm of both the transistors is fixed and matched accordingly by setting W and multiplier of both the transistors .Length is maintained to be minimum.

RESULTS: PLOTS

CONCLUSION: Plots shown

in the figure gives the 1dB

compression point, phase distortion

and power gain.

Power Amplifier with required

specifications was designed and

verified. The design can be extended

to a dual band by sharing a common

inductor between both the circuits..

PROGRAMMING OF ROBOTS USING MATLAB SIMULINK

Summer Intern Fellowship, Guide / Supervisor Dr. Bharath Bhikkaji

College / Institution: R.V. College of Engineering, email: [email protected]

Duration From _22nd May – to- 8th July

Dept of Electrical Engineering. Indian Institute of Technology, Madras

Abstract: The present work uses MATLAB Simulink tools and LEGO Mindstorms EV3 Education kit to program robots to effectively realize an

Obstacle Sensing bot ,a Line Follower bot and a Self Balancing bot.

Obstacle Sensing Robot

Developed Program

.

Line Follower Robot

Developed Program

1ST THRESHOLD : If distance from Obstacle < 25 cm

TRUE : Decrease Speed by halving Gain

FALSE : Continue

2ND THRESHOLD : If distance from Obstacle < 15 cm

TRUE : Speed = 0

FALSE : Continue

The robot uses feedback from the Color sensor to track the

line. The feedback from the motor encoders is used to

maintain forward velocity. Two Proportional-Integral-

Derivative(PID) controllers are used to control the velocity

and tracking.

Self Balancing Robot

Developed Program

While both signals (Speed and Turn angle)

are 0, the robot remains balanced in one

place. A positive value for speed causes the

robot to move forward and a negative value

to go in the reverse direction. A positive value

for turn angle causes the robot to turn right

and a negative value to turn left.

SPO2 MEASUREMENT, MICROCONTROLLER AND BLUETOOTNH MODULE INTRIGATION

SAIRAM MADAMALA,Summer Intern Fellowship, Guide / Supervisor Dr. V. Jagadeesh Kumar

Institution: SRM UNIVERSITY, email: [email protected] From: 17-05 to 17-07-2105

Dept of Electrical Engineering. Indian Institute of Technology, Madras

Abstract: Vital signs to measure the body’s basic functions. These measurements are taken to help assess the general physical health of a person, give clues to possible diseases, and show progress toward recovery. The normal ranges for a person’s vital signs vary with age, weight, gender, and overall health. SPO2 measurement is fifth vital sign. Monitoring these has traditionally been done by doctors, we are developing device which can be used by consumers themselves. A sensor device is placed on a thin part of the patient's body, usually a finger tip. Thedevice passes two wavelengths of light through the body part to a photodetector. It measures the changing absorbance at each of the wavelengths, allowing it to determine the absorbance due to the pulsing blood alone is the Principle of our work. Objectives:

To design a device that can measure the spo2 levels in blood and give a

wave form, to send that data from the spo2 device to a microcontroller

process it and send it to a remote device through Bluetooth low energy.

I2C communication between spo2 chip (MAX30100) and microcontroller

Kinetis K53.

UART communication between K53 and Bluetooth module BT900

Bluetooth module to remote device

BLOCK DIAGRAM

OUTPUT WAVEFORMS

Conclusions:

Found out the current rating if maxim chip and configured I2C lines.

Configured UART and I2C lines of microcontroller K53 and developed

code of communication.

Configured UART lines and developed serial port profile for sending data

to a remote device.

.

References:

https://github.com/LairdCP/BT900-Applications

http://www.lairdtech.com/products/bt900-series

http://www.freescale.com/webapp/sps/site/taxonomy.jsp?nodeId=0

12FC898C9DE2D&cof=0&am=0

http://www.maximintegrated.com/en/products/analog/sensors-and-

sensor-interface/MAX30100.html

MAX30100

K53 MICRO CONTROLLER

BT900

I2C SCL

I2C SDA

UART TX

UART RX

UART RTS

UART CTS

NETWORK SIMULATOR-3 DYNAMIC USER ASSOCIATION

Summer Intern Fellowship, Guide / Supervisor :Dr Venkatesh Ramaiyan

Institution:SSN College of Engineering, email:[email protected],Duration:22.05.2015 to 17.07.2015

Dept of Electrical Engineering. Indian Institute of Technology, Madras

Abstract: In a wireless network ,the clients (users) need to assess and identify the “best” AP(Access Point) to affiliate with. This is the problem of

Dynamic User Association. The aglorithm involves the calculation of metrics such as signal to noise ratio,number of users associatied with an AP

and energy at the user. Based on these metrics the best AP is chosen.This is to be implemented in Network Simulator –3.NS-3 is an open source

discrete event simulator publicly available for research, development and use.

Objectives:

Manual Association and disassociation of a client from an AP

in ns-3

To implement Dynamic User Association by computing the

following metrics – Number of Users associated to a chosen

AP,Signal to Noise Ratio at the client and energy at the client

for every AP in the wireless network

Packet Flow Flowchart – From AP to Client side

Results (Tracing) Results (Logging)

.

Create 3 nodes.

Create channels.

Assign IP Addresses.

Create Applications.

Association at 12.5009 to

00:00:00:00:00:04

Disassociation at 22.5007 from

00:00:00:00:00:04

Total Packets 2450

Throughput 0.0326667

STUDY AND SIMULATION OF OKUMURA-HATA AND WALFISCH-IKEGAMI PATHLOSS MODEL

Summer Intern Fellowship, Guide / Supervisor _Prof.K.Giridhar

College / Institution: _NIT Trichy, email: [email protected] Duration From 17-5-15- to 10-7-15__

Dept of Electrical Engineering. Indian Institute of Technology, Madras

Abstract:The goal of the project is to quantitatively analyze the pathloss models Okumura-Hata and Walfisch-Ikegami under various geographical conditions. The programming Language Golang has been used to model and simulate the pathloss models.The obtained data-values are plotted in matlab and inference is made.Further,the SINR distribution for a cellular system using both the pathloss-models have been studied in both single-operator and multi-operator case.

Objectives:

To simulate Okumura-Hata and Walfisch-Ikegami model

using GOlang.

To Study the SINR distribution and compare them with

Matlab using the results obtained from GOlang using the two

pathloss model.

using GO-Code

Results

Conclusions:

Thus, it is seen that Walfisch-Ikegami has a lesser deviation from the measured pathloss value as compared to Okumura-Hata model when the extent to which building extend is greater than the settled field distance and height of the transmitter is greater than the height of the buildings.Walfisch–Ikegami gives a good estimate of pathloss when the buildings extend beyond the settled field distance.

.

I IMPLEMENTATION OF FRAME ACQUISTION ALGORITHM ON 1GBPS OPTICAL LINK ON VIRTEX ML507 EVALUATION BOARD

Summer Intern Fellowship, Guide / Supervisor Dr. R. Manivasakan

College / Institution: N.I.S.T, Berhampur,Odisha, email: [email protected] Duration From 15 to 16

Dept of Electrical Engineering. Indian Institute of Technology, Madras

Abstract : The ultimate goal of the optical signal transmission is to achieve the predetermined bit-error ratio (BER) between any two nodes in an

optical network. The one of the main advantages of optical communication over electrical communication is that it minimize the losses in high

data rate transmission. FPGA gives flexibility in our designs and is a way to change how parts of a system work without introducing a large amount

of cost and risk of delay into the design schedule. The frame acquisition algorithm helps in matching the received output with the transmitted output

and with the help of this we can find the bit error rate or probability of error in the output.

Objectives:

To demonstrate a point to point 1Gbps communication

link over virtex 5 ml507.

To demonstrate a single node to multiple node

communication link of same speed.

To design a multiple point to single point

communication link.

Performance analysis of the link by eye diagram

analysis.

CHALLENGES

Results

CONCLUSION: The performance analysis of the communication link was done

by calculating Bit Error Rate (BER) and BER was calculated for varying data

rate in point to point communication link. The Frame acquisition algorithm was

used to reduce the BER. The results were found to be more accurate.

.

Point to point communication link at

different data rates

Pre-emphasis of the transmitter to desired level.

Design the equalization block of the receiver according

to the communication link.

Transmitter and receiver clock synchronization and

frame detection.

Simulation of thulium doped double clad fiber lasers submitted by Anandhi.C.A(EE15SFP0420)

under the guidance of Dr. Deepa Venkitesh

Model used in the simulation

Pump combiner

Pump input

(793 nm)

output

10 m

TDF

Experimental setup

COMPARISON OF SIMULATION AND EXPERIMENTAL RESULTS

Forward ASE spectrum Backward ASE spectrum

Pump

power=0.674W

Variation of ASE power as a function of pump power

Backward

ASE

Forward ASE

Spectroscopy of thulium doped silica system is studied and the simulations are done using RP Fiber Power. Some of the important

results are shown .

Transition cross-sections

used in the simulation

Backward ASE

Pump

power=3.43W