KUET Institutional Repository (Khulna University of Engineering & Technology)
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Development of Surface Plasmon Resonance Sensor for Detecting Food Preservatives
No full textThis thesis is submitted to the Department of Electrical and Electronic Engineering, Khulna University of Engineering & Technology in partial fulfillment of the requirements for the degree of Master of Science in Electrical and Electronic Engineering, February 2020.Cataloged from PDF Version of Thesis.Includes bibliographical references (pages 79-88).Food preservatives and adulteration is the universal concern of recent days. Particularly, developing states are the main maltreated with food contamination and it is a thoughtful problem in recent years. Formalin is a chemical compound that commonly present in food used for the preservation. Its frequent and illegal addition with food is a danger for human health and psychology. The recurrent ingesting of formalin contaminated food causes uncompromising health sicknesses. This critical issue causes fatal disease like chronic cancer.
Therefore, identification of formalin in food is an extreme need, which is becoming a general
problem in emerging countries.
In this dissertation, formalin is detected quantitatively by designing a Graphene-MoS2 amalgamated 2D nano sheets with a TiO2-SiO2 nano-layered surface plasmon resonance (SPR) based sensor. This sensor distinguishes the presence of formalin utilizing the attenuated total reflection (ATR) approach and inspecting the reflectance vs SPR angle and transmittance vs surface plasmon resonance frequency (SPRF) attributes. Analytical approach for analyzing the sensor performance parameters has been carried out using MATLAB commercial software. The quantitative effect analysis of individual and amalgamated Graphene-MoS2 with TiO2-SiO2 layers has been studied for sensitivity, detection accuracy and quality factor. In addition, optimization of Silver layer thickness is carried out for sensitivity, detection accuracy and quality factor individually.
Electric field distribution through the sensor has been investigated and analyzed by using YEE algorithm on the Lumerical FDTD solution commercial software.
An alternative composite layer sensor structure has also been designed and developed in a configuration of Graphene-PtSe2-Ag-ZnO with BK7 glass prism. Formalin is detected successfully using this sensor structure by angular investigation method. The performance of this alternative sensor structure for formalin detection has been analysis analytically and it shows an outperform with very high sensitivity.
A comparative study among the performance of different composite sensor structure and the proposed sensors are also presented. Another comparison has been carried out between the existing sensor structures and the proposed sensor structures. This is the silver integrated composite sensor that shows highest performance reported by SPR technology. Finally, recommendations for additional research has been anticipated.Md. MoznuzzamanMaster of Science in Electrical and Electronic Engineerin
Impact of Water Logging in South Western Coastal Zone of Bangladesh: A Case Study
No full textThis thesis is submitted to the Department of Civil Engineering, Khulna University of Engineering & Technology in partial fulfillment of the requirements for the degree of Master of Science in Civil Engineering, April 2019.Cataloged from PDF Version of Thesis.Includes bibliographical references (pages 88-90).An integrated drainage path is an important component for tropical countries. If heavy rainfall occurred with lacking of drainage path, water logging is the consequence of the surroundings. Three southwestern coastal districts of Bangladesh namely Satkhira, Khulna and Jashore are the worst hit areas and experiencing severe prolonged water logging and remain submerged in every year for long periods. Mostly affected Tala upazila has been selected for this study. The Coastal Embankment Project (CEP) disconnected the wetlands from the rivers and disallowed sedimentation inside the wetlands which gradually caused the drainage congestion of the rivers as the sediment deposited on the river bed. In many places the river bed became higher than the wetlands in the surrounding basins.
The aim of this study is to illustrate the impact of water logging, investigate the salinity related variables (Chloride, EC and SAR) and acidic conditions in soil solution (pH and sulfate) related to plant nutrients (Nitrogen, Potassium, and Phosphorus) in soils after prolonged water-logging and propose suggestions for future work.
To obtain this aims necessary information were collected through house hold survey, field visit and key informant interviews. Most of the laboratory investigation of soil and water sample was performed from environmental laboratory, KUET and Soil Resource Development Institute (SRDI), Regional Laboratory, Khulna. Secondary data were also collected for comparing with the experimental results.
The study results that due to prolonged water logging of the study area the agricultural land price are not increased as the residential or commercial land price. Because both types of agricultural land become ideal and the land can’t use for cultivation. Presently only 16% of people are alive taking farming as the main occupation and about 60% of people living with day laboring occupation.
The structures of the study area has affected seriously due to prolonged water logging. The brick foundations losses its longevity by corrosive effect of salinity and damping. Water logging causes the damage to roads in the rainy season every year leading to the movement problem and interrupts the journey. The educational institutions of the study area became flooded for long time and the students can’t continue their learning. Crop production also hampered due to prolonged water logging, especially the Amon rice production.
From the laboratory investigation of the soil and water sample the average value of sulfate (SO4-2) concentration was found within the optimum range 25-200 mg/L. The nitrate (NO3-) concentration of the soil sample was lower than the optimum range for all location, water sample result found within the optimum range 0 -10mg/L. Nitrogen content was found less than the optimum limit. Potassium, Calcium and Magnesium content was exceed the optimum limit. Phosphorus content in Kumira and Gopalpur union exist within the limit but in the Tala and Tentulia union excess than the optimum limit. The maximum chloride concentration of soil was found .080g/kg, 0.315g/kg, 0.356g/kg and 0.490g/kg of Tentulia, Tala, Islamkathi and Kumira union respectively. Paddy can grow with maximum soil Cl- concentration of 1g/kg without any yield loss. Therefore, rice production has not affected by chloride concentration, salinity related variables or plant nutrients of the study area. It is only affected by prolonged water logging. To safe the study area from the water logging the main drainage path of the study area anyhow need to make smooth to carry the upstream rain water.Md. Ajmal Hossain GaziMaster of Science in Civil Engineerin
Improvement of Face Detection Incorporating Illumination-based Robust Skin Color Measure
No full textThis thesis is submitted to the Department of Computer Science and Engineering, Khulna University of Engineering & Technology in partial fulfillment of the requirements for the degree of Master of Science in Computer Science and Engineering, June 2019.Cataloged from PDF Version of Thesis.Includes bibliographical references (pages 44-48).Human vision system is amazing in detecting face easily but it is very challenging in computer vision and image processing as it depends on quality of image, illumination, lighting conditions, face sizes, occlusions, and face position etc. The existing face detection systems, including popular Haar feature based face detection (HFFD), very often detect a region as a face which is eventually not a face. To counteract such false detection, incorporation of human skin color property is considered a way of improving face detection accuracy in several recent studies. But these methods are found to be dependent on illumination conditions meaning that the performances of these methods degrade when applied to images with different illumination conditions. The aim of this study is to devise a robust face detection system integrating skin color matching that will perform well under different illumination conditions. In pursuit of this goal, a novel skin color matching method is proposed which is a composite of two rules to balance the high and low intensity facial images by individual rule. In the proposed method, illumination intensity of a given facial area is measured and then appropriate rule is applied based intensity value to verify the area as face or not. The proposed skin color matching is verified in face detection with HFFD on four benchmark face datasets (Put, Caltech, Bao and Muct) and a self-prepared dataset. Experimental results and analysis revealed the effectiveness of proposed composite skin color matching to improve face detection while compared with prominent existing skin color-based face detection methods.Md. Asif Anjum AkashMaster of Science in Computer Science and Engineerin