Master of Science in Electronics & Automation

Permanent URI for this collectionhttp://192.248.9.226/handle/123/59

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item: Thesis-Full-text
Analysis of the performance of MQTT with shared dictionary compression (SDC) in IOT networks
(2019) Vinyagamany S; Samarawickrama JG
The Internet of Things or IOT is a set of organized computing devices that are provided with exclusive identifiers and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction. The Internet of Things spreads internet connectivity beyond traditional devices like desktop and laptop computers, smartphones and tablets to a range of devices and everyday things that use embedded technology to connect and interact with the outside environment, all via the Internet. The architecture of IOT will greatly grow in the next few years and there will a big demand in the field of IOT devices performances. IHS forecasts that the IoT market will grow from an installed base of 15.4 billion devices in 2015 to 30.7 billion devices in 2020 and 75.4 billion in 2025 as shown in the Figure 1 - [2]. In order to cope up with the impending needs, we have to improve the current application protocols used in the internet of things. One of the most popular application protocols for IOT would be MQTT - Message Queue Telemetry Transport). As the Internet of Things ' growth explodes, the underlying fundamental protocols are changing. In particular, MQTT, or Message Queue Telemetry Transport, is now the dominant protocol for IoT globally. MQTT is a machine-to-machine (M2M)/"Internet of Things" connectivity protocol. It has been designed as an extremely lightweight messaging protocol packaged as publish / subscribe. MQTT is alright equipped with compression technologies like deflate. However, our goal is to further enhance compression by introducing Shared Dictionary Compression. Shared Dictionary Compression is tool which uses the redundancies in the messages to form dictionaries for frequently occurring key strings. These dictionaries are distributed among the iv devices and for compression and decommission. This could greatly in terms of the compression and hence the bandwidth. However, it must be noted that enabling Shared Dictionary Analysis would require detecting frequency of repeating keywords among the messages. This could induce additional computation on top of MQTT. Moreover, the distribution of dictionary might have adverse effects on the bandwidth. So, we will need to find the right balance between the achievable bandwidth reduction and computation complexity. In order to find the right tradeoff between computational costs and bandwidth reduction. We will need to implement an algorithm to assess the performance and determine the right settings for the SDC to function. This could be called as the adaptive algorithm, as the settings would greatly depend on the dataset used. In terms of our research, we will initially evaluate the Compression Potential of SDC + MQTT. After confirming the potential of SDC, we will evaluate the same with adaptive algorithm. Consequently, using the adaptive algorithm, we will find the right balance between the performance and compression, by evaluating the compression potential and computational costs of SDC-MQTT. Finally, to further optimize, we will need to analysis the ideal data format for SDC-MQTT for fully optimized performance of SDC-MQTT.
item: Thesis-Full-text
CMOS leakage power reduction and data retention
(2019) Udayanga GWGKN; Thayaparan S
As silicon technology scaling, leakage power dissipation has become the most significant component from all CMOS power dissipation mechanisms. Minimum Leakage Vector(MLV) is used as a combinational logic leakage power reduction technique when a system is in standby mode. Compared to MLV, though an excellent leakage power reduction can be achieved with power gating technique it has some drawbacks like higher retention time and system state loss. In this thesis we combine MLV and power gating techniques to achieve more leakage power reduction compared to MLV while mitigating prior mentioned drawbacks of power gating. Instead of full chip power gating, we developed a simple algorithm which runs in linear time to identify the prospective locations for power gating once combination logic is fed with its MLV. The algorithm was implemented in tcl language and run on top of design compiler shell for a synthesized netlist. Flip flops and input ports were modified to feed MLV in standby mode while facilitating for partial power gating within the flops without losing flop state to retain the system state back in active mode. Flop modifications were extended to feed MLV in scan mode also so that scan mode leakage reduction can also be achieved while successful scan shifting carrying out. Our implementations were tested with four selected ISCAS89 benchmarks using fast spice simulations with synopsys XA. We were able to achieve 30%-40% additional leakage power reduction compared to standalone MLV. The measured wake up time was always less than 0.25ns for all benchmarks while with standalone power gating this is more than a nano second or couple of nano seconds . Successful operation in scan mode and state retention of flops after standby mode were also verified. Rough estimate in area increment due to newly added infrastructure was also carried out.
item: Thesis-Full-text
Cost savings from enhanced noise reduction based blowdown control for the State Pharmaceuticals Manufacturing Corporation (SPMC)
(2019) Jayasundera PD; Premaratne U
Boilers are widely used in most of the processing industries like Pharmaceuticals Manufacturing, for the heating applications. State Pharmaceuticals Manufacturing Corporation (SPMC) is the one of the largest Pharmaceuticals Manufacturing Plant in Sri Lanka. In Pharmaceuticals Industries Boiler is mainly used for the steam generation. In an industry normally a 4% of heat energy [1] is wasted through Blowdown. For every Boiler there is a defined limits allowable TDS in the Boiler Drum. The Boiler feed water has a certain TDS. The maximum allowable TDS in process Boilers is 3500 ppm. The steam is generated from the Boiler the TDS contained in the Boiler drums starts to increase. Therefore some amount of the high TDS water needs to be removed from the Boiler drum. This removal of high TDS water from the Boiler drum is called blowdown. By doing Boiler blowdown able to maintain the TDS in the Boiler drum to its optimal desired levels. The process of blowdown is that most of the time the blowdown is done by manually. Therefore that extract amount of blowdown required is never done. Many times excess of blowdown is done and many times sub optimal blowdown is done both these are harmful. Excess amount of blowdown contributes to the blowdown loss. Automatic blowdown control system sensors the actual TDS level in the Boiler drum and does the blowdown only when it is required to do so. When the TDS level in the Boiler go beyond desired set point the blowdown valve will opens and brings down the TDS to the desired level. High TDS level in the Boiler drum not only cause scaling within the Boiler drum and on the Boiler tubes. But these scales particles also get carried away with the steam and formed deposits on the downstream equipment and piping. High TDS levels in the Boiler drum also results in moisture carryover which means steam coming out of the Boiler has a high moisture contained and this is detrimental iii to the equipment downstream of the Boiler. It also results poor heat transfer in the process equipment and cause high steam consumption. An automatic blow down control can keep the blow down rate uniformly close to the maximum allowable dissolved solids level, while minimizing blow down and reducing energy losses. The Boiler Blowdown analysis and energy savings analysis has been carried out at SPMC Plant. The objective of this research work is the blowdown analysis in the plant and analyze the annual savings obtained from Automatic Blowdown Control Intervention. The study was revealed that changing from manual blowdown control to automatic blowdown control monitory savings Rs 202873.11 a boiler’s energy use by annually. Purchasing TDS sensor, pneumatic blowdown valve, PLC and related accessories fabrication cost can be a 3 year payback period on the investment.
item: Thesis-Full-text
Design a model and mathematical approach for vectored trust controlled tri rotor aerial platform
(2018) Madanayaka HM; Munasinghe R
It is a challenging factor to address the more or less of vectored trust-controlled platforms for Stability. There are unnecessary parts in any UAV plat form and must be identified and apply removal of such parts or substitute with aerodynamically more suitable parts will lead to design of good aero stable platform. Testing platform for the different attitude for disturbances and effective analyzing can lead to develop best trirotor vectored trust-controlled platform. Since project is to develop superior tri-rotor system to perform better stability and effective control of motion various mathematical and control approaches to be introduced. A Discussion and an analytical approach towards developing tri-rotor system is a need of future multi-rotor platforms. In coming years there will be a great advancement on tri-rotor systems. Still there are many areas to study when developing a stable tri-rotor platform with precise six directional control. Design will demonstrate stability of the vectored trust-controlled tri-rotor over other multi rotor platforms and enhance the present capabilities of tri-rotor platform to prove it as the future of the multi rotor UAV platforms. To demonstrate the mathematical approach discussed here, it is used a platform enable to carry out further studies on to tri copters.
item: Thesis-Full-text
Design and implementation of an automatic wire cutting and striping machine for small scale industry
(2019) Kanagalingam S; Edussooriya CUS
The trend in the recent industry is to move towards automation. This is driven by a number of factors such as increasing accuracy and decreasing human errors. This dissertation provides full overview of the development and design of the automated wire cutting and striping machine for small scale industrial application. The proposed system is put into practice in real time Manual approach is currently used to cut and measure wire that takes more time with manpower. The effectiveness and accuracy obtained by manual method is really poor. The specific aim of the automated wire - cutting system is to cut the needed wire length in the required number of parts. By utilizing the developed system, we can achieve low cost cutting with reduced cutting process time. This system is less complex in terms of user friendliness and also portable.
item: Thesis-Abstract
Design and simulation of fuzzy inference based multiple PID controllers for 6-dof unmanned underwatter vehicle
Makawita, CD; Munasinghe, R
Unmanned underwater vehicles are currently being utilised for scientific, commercial and military underwater applications. These vehicles require autonomous guidance and control systems in order to perform underwater tasks. Modelling, simulation and control ofthese vehicles are still major active areas ofresearch and development. This thesis explores the design of a control system for a 6-Dof unmanned underwater vehicle. The thesis consists oftwo phases; the first involves the design ofthree single decoupled PID controllers for surge, yaw and depth. Then it is shown that it is not possible to cover the entire range of operations of UUV using only single controller by simulation using MATLAB SIMULINK. The second phase is concerned with the design ofmultiple PID controllers covering the entire range of UUV operation, as well as the fuzzy inference based supervisor design to switch between the different controllers as the operations conditions vary. The design ofthe PID controllers are based on MATLAB PID tuning algorithms which is a robust response time tuning algorithms that allows for faster design process with robust gain values. It is shown that these new tuning methods as well as graphical tuning interface overcome the adhoc and time consuming process offinding the PID gains. Further it is shown that fuzzy gain scheduling using fuzzy inference mechanism is a valid method for controlling a UUV with nonlinear dynamics. It can be concluded that new tools such as MATLAB tuning algorithms and Fuzzy toolbox allows for fast and accurate design of controllers for highly complex systems as well as the viability offuzzy inference multiple controllers as a method for UUV control with desired response characteristics. Finally the author recommends an actual vehicle implementation and testing as future work to be carried out.
item: Thesis-Full-text
Detection of elephant intrusion with seismic sensors and machine learning
(2018) Jayathunga SADS; Premaratne MAUK
Human elephant conflict (HEC) is a severe social issue in several Asian countries. A possible approach to prevent HEC is to identify the presence of elephants remotely, thus people can get precautions. This research introduces a method to detect presence of elephants by acquisition of seismic signals generated by their footfalls. A seismic sensor – Geophone was used to convert seismic waves to analog signal and then it is converted to digital domain. Digital signal processing techniques have been used to develop an algorithm that distinguishingly identifies subsequence signals due to elephant footfalls. Developing such an algorithm was a major objective of the research. A novel algorithm has been developed based relative harmonic contents of the transient signal generated by elephant footfalls. Machine learning algorithms have been used to get the intuition and obtain this algorithm. It uses features of transient signal generated by a single footfall; thus a detection result is generated for every individual footfall. This makes real-time detection possible. Data acquisition and recording hardware has been designed. Site recorded data was processed and analyzed offline in MATLAB environment with a laptop computer. Development and testing of the algorithm was done entirely in MATLAB. However algorithm was designed to be implemented with much less computational power in a microcontroller. Therefore the electronic systems which will use this algorithm can be fabricated as portable units and they can be used at HEC affected areas to get elephant intrusion warnings. Algorithms developed with SVM classification and relative harmonics contents could successfully detect elephant footfalls below average time period of 6s; even when high environmental seismic noise is present. This had been lowered to 3s periods when there is less seismic noise. False detection has average periods of 10s or more.
item: Thesis-Abstract
Development of negative pressure wound care system with a novel control concept as an alternative treatment method for non-healing wounds
(2015-07-07) Abeysinghe, GHTS; Munasinghe, R; Wijerathna, M
Negative Pressure Wound Therapy (NPWT) is a noninvasive system that creates a localized, controlled sub atmospheric (negative) pressure environment conducive for wound healing. However, this alternative treatment is yet to acclaim widespread recognition throughout the medical community as a standard treatment method due to the lack of scientifically conducted research data confirming its effectiveness. Most of the available negative pressure wound care systems are of proprietary design and offer limited controls for the medical researcher. The purchase price of the wound care devise as well as the consumables is comparatively high especially for a developing country like Sri Lanka. These factors prove to be a hindrance and limit the possibility of gathering data and carrying out medical research. Our project is aimed at developing a negative pressure wound therapy system which is superior in functionality, yet affordable so that it could be widely adopted it for treatment as well as research purposes. In our effort we were able to develop and successfully implement a novel concept to control a vacuum by controlled injection of atmospheric air into the system. The developed machine automatically generates, monitor and maintain a given negative pressure in and around the wound being treated. Specific emphasis was given for two major factors during the project.  Offering maximum flexibility and ease of operation for carrying out medical research during the clinical trials  Developing a reasonably priced –yet reliable NPWT devise suitable for general use Diabetic patients with resistant ischaemic foot ulcers without granulation were treated during the clinical trials using the devise. Using the new NPWT devise, we tested a pulsating vacuum profile which is generally recommended for wound treatment. The patients were ambulatory and comfortable throughout the duration of negative pressure therapy. A dramatic increase in healthy granulation with reduction in purulence of the exudates and a significant reduction in wound width was noted in all treated wounds. All the wounds were ready for grafting after a treatment period of two weeks thus, proving the suitability of the system for wound treatment.
item: Thesis-Abstract
Empirical formulas to estimate the order of 2-D fir fan filters
(2021) Jayathissa RHNS; Edussooriya CUS
Two-dimensional (2-D) finite impulse response (FIR) fan filters belong to a special class of 2-D filters which has the capability of directional filtering. They are used in many applications such as geological and seismological data processing, and array signal processing. In this dissertation, three accurate formulas are proposed to estimate the order of 2-D FIR fan filters designed using the windowing technique in conjunction with the 2-D separable Kaiser window. Maximum passband ripple 𝐴𝑝, minimum stopband attenuation 𝐴𝑎, half of the fan angle θ, passband width B, transition width T and Kaiser window parameter β are used as the main parameters in the derivation of formulas. Here, three estimation formulas are proposed for three different values of transition width, that is T=0.01π rad/sample, 0.05π rad/sample and 0.1π rad/sample by employing two steps. In the first step, a set of filters with different specifications are designed in order to experientially determine the Kaiser Window parameter β and the minimum order of the filter required to satisfy the given specifications. In the second step, the formulas for the Kaiser window parameter β and the minimum order of the filter are empirically derived through multiple linear regression using the data obtained in the first step. In numerical evaluation, statistical means of the absolute error between the estimated and true values of the Kaiser window parameter β and the minimum filter order are calculated. It is found that mean of absolute error of estimated β and true β is less than one. Also, for minimum filter order it is slightly greater. Mean of absolute error of estimated order is varied from 2-14 of true filter order which are 13.85 for 0.01π rad/sample, 3.11 for 0.05π rad/sample and 2.33 for 0.1π rad/sample. The proposed formulas provide very good accuracy for widely employed 2-D fan filter specifications. By using these formulas, a 2-D fan filter can be designed without trial and error to determine the Kaiser window parameter β and the minimum filter order saving significant time in the design process
item: Thesis-Full-text
Feasibility and performance analysis of an inverter based hybrid power generation system
(2018) Ashly LGI; Samarawickrama JG
For rural electrification, the use of off-grid hybrid energy systems based on renewable energy has become an intelligent solution for regions where electricity from the main electricity grid is not profitable or impractical. A hybrid distribution system uses either one or more renewable power generation technologies as the main source of energy and as a backup source, the conventional diesel generator is used. Therefore, this kind of system reduces the necessity on an energy source, causing affordable and reliable electricity for rural users. Since hybrid distribution systems use some energy technologies, selecting the appropriate technologies and optimally determining the size of the designated components is essential to lessen the total cost and increase the availability and reliability of the supply. The aim of the study was to find the feasibility of constructing a hybrid distribution system that can provide electricity to the rural community living Eluvaithivu which is a remote island in the Jaffna District. Also, once the hybrid system is established this study will continue to analyze the output of the system to check if the quality is up to the general standards. This remote island contains about 110 houses and the daily power demand of 255 kWh and a night-time peak of 30 kW. Similar inverter based hybrid power generation system has being modeled using the load profile and renewable resource data at the site. Simulation results shows that the grouping of PV systems, wind turbines, diesel generator and Li-ion battery bank gives a hybrid system with following rated capacities will match the load requirement of the island, Simulation results shows the optimal combination of 44.9 kW solar modules, 18kW wind turbines, 126 kWh battery bank and 32 kW diesel generator. This study analyzes the system by measuring the voltage, current, utility frequency and power factor of the generated output of the system. And from this analysis, it was found that those parameters mentioned above were varying within acceptable tolerance levels define in engineering standards. Also, from the wind power generation analysis it was found that during April wind energy harvesting becomes comparatively low and in June it becomes comparatively high. Due to the high rate of electrification; in future the demand may increase significantly. To face this situation provisions have been kept increasing the battery bank capacity when necessary. Otherwise the system will not capable of handling the night time load and may cause to run the generator more often during night time peak.
item: Thesis-Full-text
FPGA Implementation of EEG classifier using LDA
(2019) Ellawala NM; Thayaparan S
Design and implementation of feature classification in Electroencephalography (EEG) signal processing system on Field Programmable Gate Array (FPGA) hardware platform is presented in this thesis. Today there is a growing demand for medical devices which process EEG signals, for which, it is important to implement the EEG processing system in hardware instead of software. Processing of EEG signals consist of extracting features from EEG signal and then processing those features to classify the signals. As of today, in most of EEG processing systems, classification part is done on software platform even though the feature extraction is done on hardware. In this project, classification is done with Linear Discriminant Analysis (LDA), based on the features extracted using Discrete Wavelet Transform (DWT), for EEG signals obtained through PhysioNet website. The hardware implementation was done on Field Programmable Gate Array (FPGA) platform using SystemVerilog Hardware Description Language (HDL). Final design has minimum resource utilization, hence is able implement on Basys 3 Artix-7 FPGA Trainer Board with the accuracy of 80%. Therefore, it is concluded this design is suitable for developing low cost, marketable products like sleep detectors for automobile divers. Nevertheless, ultimate goal is to design a simple Application Specific Integrated Circuit (ASIC) chip, which can extract features and classify EEG, so that the full system can be implemented on a portable mobile device without using software platform.
item: Thesis-Abstract
Generic solution for waste generation on short period power drops and fluctuations
Peiris, KRA; Pasqual, A
The research project was conducted in connection with the Waste Project of the candidate's work place, Stretchline Holdings - Global. Stretchline is a multi national company with seven Strategic Business Units (SBU) around the world, manufacturing a variety of Narrow Fabrics (Elastic). The research targeted to mini mise waste generation in one of the uncontrollable waste categories at Stretchline. The objective of this project is to design and implement an Intelligent Automatic Switching Device for machinery in the event of power fluctuations (drop span within 3 seconds) and secondly introducing the generalised concept to the industry. For this purpose, I have de. eloped a device which reactivates the machinery automatically in the case of short term power dips and cuts. The project highlights the three main advantages of automation such as rmrumising waste generation, increasing productive time and minimising customer complaints. Essentially, the project focuses on Weaving, Jacquard and Fortitube Looms. Extracts show that nearly 100kg of waste is generated in a month and 65h1's of time wasted on tagging damaged parts of the elastic on power dips' and cuts. As per the information gathered in the month of August, there were 30 power cuts recorded and operator idle time was 1950Hrs per month. The lost production and tagging time waste of the machine operators could be minimised in significant terms by implementing-the concept to the company machinery. The concept developed through the research was applied to automate Weaving looms. It attempts to further conclude how the concept could be used to automate machinery in the industry by generalising the concept. As further future work, the device could be converted to a computer system hence could be improved at any length. Therefore, I belive the concept could be further enhanced to suit many industries and minimise the cost of production by reducing waste generation due to A power fluctuations, which will maximise profits of the target industry.
item: Thesis-Full-text
Hand activity recognition using a wearable smart glove
(2020) Samarasinghe JNG; Edussooriya C; Rodrigo R
This project is aimed at designing, simulating and constructing a wearable device capable of performing activity recognition to track and monitor activities specific to the manufacturing industry. This was done by designing data capturing glove to capture all necessary signals from the human body and provide necessary filtering to obtain low noise data. This is then passed through suitable pre-processing algorithms to create distinguishing features between activities. The best suited classification and post-processing algorithms were then designed and implemented to classify the captured data in to a specified set of activities. The device was designed with an ESP8266 and a Raspberry Pi coded in C++ and Python respectively. Accelerometer & gyroscope sensors were used to collect data from the human body while a number of classical machine learning algorithms and convolutional neural networks were tested to classify the data. For the activities pointing, wiping, tightening, loosening, picking, holding, pulling, pushing, hammering, walking, holding and walking and turning, the system was capable of classifying the test data with accuracies between 86% - 91%. The null set was classified with an accuracy of 100% with support vector machines with a linear kernel and the post processing algorithm. The same algorithm reached an accuracy of 91.3% for the activity classification while the support vector machine with RBF kernel and post processing algorithm reached an accuracy of 89.7%. The convolutional neural network trained on pre-processed 3D activity images and the post processing algorithm reached an accuracy of 86.2%. The successfully created device will be used to obtain necessary analysis in the manufacturing space to optimize performance of the workers
item: Thesis-Full-text
Instruction set architecture design for video playback device
Neranja, KN; Pasqual, A
Instruction Set Architecture Design for Video Playback Device Keywords: Low Power, Processors, FFmpeg, decoders Application specific processors are being considered for many applications which are used to run on general purpose processors. The primary reason for this is the enhanced energy efficiency while meeting the required performance targets. This thesis explores the design of Instruction Set Architecture (ISA) for a video playback device. Video is ubiquitous today due to camera being a standard accessory in mobile phones. Video, at the same time, is a powerful learning tool for any age group particularly for younger children. The primary objective of the work is to develop a minimalist ISA for a single function video playback device which would allow longer run time on battery (enhanced energy efficiency) and low silicon footprint to minimize cost. This would allow video playback device to function without an operating system. An extensive survey of low power processors was followed by a thorough investigation of essential assembly instructions for video playback using the industry standard video playback tool-ffmpeg. The minimal ISA developed was then validated by using Intel Software Development Emulator through dynamic run-time analysis of ffmpeg trace. Here most frequently used assembly instructions were found to be present in the minimal instruction set.
item: Thesis-Full-text
Jvalue based biomass and growth rate estimation of Duckweed
(2019) Wimalaratne DRSK; Premaratne U
Duckweeds are known as Lemnaceae, comes under the family of small aquatic plants which grows forming a mat covering the surface of the water. Worldwide duckweeds are used as an effective wastewater treatment through conventional methods. These natural green plants remove the excess amount of nutrient or pollutants from the water body and maintain sustainable environmental conditions. Spirodela polyrhiza, Lemna minor and Azolla pinnata are some of the most popular duckweeds used in phytoremediation. Depending on the growing environment, these plants has ability to reproduce rapidly. Rapid growth of duckweeds leads to dysfunction of water bodies and caused other problems. Because of that it is important to monitor the growth rate to control the growth and to avoid an excess duckweed. Traditional method of monitoring the growth rate by manually is laborious and time consuming. Automation of growth rate monitoring is important mostly for duckweed cultivation, modeling of waste water stabilization ponds and among researches. Vision based image processing, used here to automate the growth rate monitoring of duckweeds. For that images of three plants were collected by capturing images from a camera once a two days. In this research two methods were used to estimate the green layer of the three plants Spirodela polyrhiza, Lemna minor and Azolla pinnata. Here the biomass estimation of small fronded aquatic plants is performed by identifying the regions with texture using J- value which is homogeneity measure used in JSEG algorithm. To compare the accuracy alternative Green layer extraction (GLE) method was used. The colour appearance of the surface of the three plants depends on light level, material properties, quality of the images and the view point. For each plant, it was done the green layer detection under two methods with three illuminance levels. Results were verified with the ground truth. According to the results, it was calculated and compared the accuracy percentages and error percentages of two methods in different three illuminance levels. The mean accuracy under normal illumination for the proposed JVT method is Spirodela polyrhiza is 85%, for Lemna minor 82.93% and 83.71 % for Azolla pinnata. Furthermore, JVT method is robust enough to deal with different illuminance levels.
item: Thesis-Full-text
Network implementation petri net model for Laxapana power plant complex
(2019) Ganegoda DT; Premaratne U
Laxapana Hydro Power complex consists of five Reservoirs & five Power stations. These power stations are located along the Kehelgamuwa Oya & the Muskeli Oya. The total capacity of the Laxapana Complex is 354.8Mw and 13 Generators contribute their service to fulfill the service. It does not have a precise method to schedule these Generators. The Rule of thumb methods derived from past experiences is the only methodology which is used to schedule the generators. There is a cascaded system operating from water levels & flow rates of the reservoirs. it is essentially required a special Modeling Technique to optimize as the water level & the flow rates of the reservoirs are unpredictably change time to time. It had been used a generator optimization method via Petri net Software by Engineer Lankanath. The purpose of this research is implementing the system after studying these data. Most of the researches have been based on analyzing the previous data but in this (my) research real time data is used for the requirement. In this case, water flow rates, water levels data is rapidly acquired by the control system. Moreover all the data of generators are gained by the system. It is decided the procedures & quantities which the generators should operate after analyzing all this data and it is monitored whether they work properly. Eventually, Procedures & Preventive Maintenance dates etc. are decided & displayed by the AI after analyzing the data acquired. Because of this it is possible to optimize power with less failure.
item: Thesis-Abstract
New conceptual wireless device for industrial and general purpose automation applications
Conrad, JRT; Pasqual, A
Industrial Automation has greatly improved the industrial processes, efficiency and productivity during the past few decades. Programmable Logic Controllers (PLC) and Microcontrollers are playing a major role in industrial automation. Interconnectivity among machines and processes is a key factor in providing high production rates and also minimizes the need of having buffer stocks in the middle of the production lines. At present there are several world-wide accepted industrial communication standards for wired networks. High installation costs, high failure rates of connectors, difficulty in troubleshooting connectors, time wastage and cost when rearranging factory floors are the main issues that industries face with wired networks. The solution to overcome the above is Wireless Networks. Wireless Networks hold the potential to help industry to use energy and materials more efficiently, lower production costs, and increase productivity. Although wireless technology has taken a major leap forward with the boom in wireless personal communications, applications to industrial sensor systems are still at the cradle stage. There are some.wireless products entering in to the industrial applications which focus more on transmitting large amount of data and almost all of them are application specific. The objective of this research project IS to come-up with a wireless communication device that can be bought off the shelf and configured by the user himself by -simply downloading readymade binaries to suit the application. The fundamental feature of the device is its ability to configure according to the sensor output. Hence the user need not to select the device based on the sensor type. A prototype was developed for the research activities and was successfully tested in two different industrial environments. Firstly it was used monitor the status of 64 knitting machines from an office area, which eliminate the need of wiring 64 machines across the factory floor to a display board in a nearby office. This provided the freedom to re-arrange machines in any order and to move the display board anywhere in the office area without bothering about Wires. Secondly the prototype was tested on a plastic injection molding machine to eliminate wires between machine sensors and the PLC. Use of wireless sensors eliminate the issues with wire connector such as loose connections, short circuits and there by greatly reducing the machine downtime. The following pages describe in detail the above two scenarios and how the prototype is designed and developed to eventually meet the above mentioned objectives and achieve a single device that matches with any type of sensor and capable of transmitting the sensor data in a user defined format
item: Thesis-Abstract
Noice reduction in control signals of industrial sewing machines using adaptive filtering
(2022) Niranjan KHVC; Edussooriya CUS; Weeraddana C
Control signals of a typical industrial sewing machine are distorted when they are con nected to the controller. Such distortions due to noise appear at the input port of the control signals and they are, in general, nonstationary signals. Furthermore, access to the controller of an industrial sewing machine is restricted. Therefore, such distor tions cannot be attenuated using classical adaptive filters such as Wiener filters. In this dissertation, an adaptive algorithm is developed in order to solve this challenging prob lem. Here, an additive inverse of the distortion is generated and added to the control signals so that the distortion is significantly attenuated. In order to generate the addi tive inverse of the distortion, the Normalized LeasMean Square (NLMS) algorithm is employed as the adaptive algorithm with an external reference signal. In general, the error signal to the filter is the estimation of the signal, However, based on the nature of the adaptive filtering problem, the NLMS algorithm is formulated in a way that, the error signal to the filter is the difference between the noise signal and the estimated noise signal. The experimental results obtained with the control signals of a typical industrial sewing machine confirm that the proposed method effectively attenuates the distortion signal with fast convergence of the NLMS algorithm.
item: Thesis-Full-text
A non invasive energy saving system based on a wireless sensor network for split type air conditioners
Kapukotuwe, RWMCMS; Munasinghe, SR
Energy consumption in air conditioning in supermarkets has been very high. Increase in maximum demand (kVA) has gone up as a result of heavy consumption in air conditioning. Partly, the consumption includes unnecessary cooling, which can be reduced without making inside temperature being elevated to uncomfortable levels. In this research, an energy saving solution designed to be used in the shop floor which is cooled by a number of split type air conditioner units is analyzed. A centralized sensing and control mechanism, which is fully autonomous, has been developed to maintain the comfortable temperature within the shop floor by a way of using minimum number of AC units. Temperature settings of the AC units are adjusted by the central controller every two minutes so that the system adaptively maintains the required temperature inside by consuming the least amount of energy needed to do so.
item: Thesis-Abstract
A Novel multi-dimensional IIR notch filter for attenuating multiple narrowband interferences
(2021) Chandima PKT; Edussooriya CUS
Notch filters are a class of filters that are used to attenuate narrowband interferences. Previously reported finite impulse response (FIR) or infinite impulse response (IIR) notch filters are predominantly limited to one-dimensional (1-D) or two-dimensional (2-D) signals. With emerging multi-dimensional (M-D) signals, such as four-dimensional (4-D) light fields and five-dimensional (5-D) light field videos, design techniques for M-D notch filters, beyond 2-D notch filters, are required to be investigated. In this dissertation, a novel M-D multi notch IIR filter is proposed to attenuate multiple narrowband interferences. The structure of the notch filter is derived by cascading notch filter pairs. Initially, 1-D filter structure is presented and afterwards it is expanded as an M-D filter. The key factor of the proposed notch filter is the flexibility of placing the notches, adding any number of notches in to M-D and bandwidth can be controlled independently. Narrowband interference attenuation has been verified using monochromatic image and a video. Capabilities of the proposed filter are compared against the existing filtering method using unity three-dimensional (3-D) signal. It is clearly noticeable that, the proposed M-D multi notch IIR filter has better performance as well as greater flexibility.