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2013 - 20175
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Subject: Computer Science and Engineering × Start date: 2012 ×
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Now showing 1 - 5 of 5
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    Development of software to determine the maturity level of plum using image processing techniques
    (Punjab Agricultural University, Ludhiana, 2017) Harpuneet Kaur; Sawhney, B. K.
    Maturity is the key factor which determines the storage life and ripening quality of fruits. In order to provide marketing flexibility and to ensure the acceptable eating quality to the buyer it is very crucial to determine the right maturity stage. Maturity indices are also important for trade regulation, marketing strategy and for efficient use of labor and resources. The proposed system is based on the implementation of image processing techniques using digital images of different maturity stages of the plum. The external quality features like color, texture and size have been analyzed with MATLAB Image Processing Toolbox. Color feature has been extracted by using mean RGB values. Entropy, Local Binary Pattern and Discrete Cosine transformation have been used for extracting textural features. Correlation coefficients between images of various categories were recorded to determine the most dominant factor for classification. Multi Attribute Decision Making theory has been used for taking final decision. The developed system accurately determines the maturity level. Results indicated that color is the most dominant factor for classifying the plums according to maturity level. When the length and width computed from application were compared with the manual readings, the error percentage was less than 2.4%.
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    ThesisItemRestricted
    Development of software to estimate woody volume of a live tree
    (Punjab Agricultural University, Ludhiana, 2017) Singla, Nikita; Derminder Singh
    Tree volume is one of the oldest areas of interest and is a crucial task in tree management system. Estimating the woody volume of a live tree is important for economic, scientific purposes and provides a tool to researcher/grower. It provides the useful information about the commercial value of wood to the potential buyer/seller. Manual methods are being used largely to calculate woody volume of a tree. These methods are based on different log rules, cumbersome and laborious. The present work proposed a digital image processing technique to estimate the woody volume of a live tree. The developed program successfully determines the woody volume of standing tree trunk with MATLAB image processing techniques. In this method three parameters an individual tree were extracted from digital images of the tree. Calibration factor was also calculated to make the method independent of camera distance from the tree. The method was tested on several samples of trees and compared to experimental results. This software generates information about height, diameter and volume of the tree. The percentage error of height, diameter and volume of standing tree by proposed method was found to be less than 6.65%.
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    ThesisItemOpen Access
    INFLUENCE OF RECYCLED AGGREGATES, FOUNDRY SAND AND FLY ASH ON COMPRESSIVE STRENGTH AND WORKABILITY OF CONCRETE
    (PAU Ludhiana, 2013) Ramneek Singh; Deepak, Gupta
    There are significant environmental benefits of recycled aggregates prepared from demolished concrete and reusing it as coarse aggregates for structural concrete, but the use of recycled aggregates in concrete is yet limited. Fly ash is an industrial waste which can be used in concrete as a partial replacement of cement. Foundry sand is also an industrial waste which can be used to replace sand as fine aggregate in concrete. Thus, an experiment was conducted in the laboratory of the department of Civil Engineering, Punjab Agricultural University Ludhiana to investigate the Properties of concrete using recycled aggregates, foundry sand and fly ash. The experiment was performed to check the compressive strength and workability of M20 concrete. Cube samples 144 in nos. of size 150mm X 150mm X150mm were prepared by varying percentage of fly ash as part replacement of cement by 0%, 5%, 10% and 15% and varying percentage of foundry sand as part replacement of fine aggregates by 5%, 10% and 15%. Water-Cement ratio was kept constant at 0.5. Workability was tested at the time of casting of concrete samples. The results shows that there was an increase in the workability with the partial replacement of fine aggregates by foundry sand and partial replacement of cement by fly ash. The optimum value of compaction factor was at the replacement level of 10 % of fly ash of cement & replacement level of 5 % of foundry sand of fine aggregates. Curing was done for 3, 7, 14 & 28 days. Samples were tested for compressive strength after 3,7,14 and 28 days. The optimum value of compressive strength was achieved with replacement of 5% of cement by fly ash & 5% of fine aggregates by foundry sand.
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    ThesisItemOpen Access
    OPTIMIZATION OF COST OF ELECTRICITY GENERATED BY HYDRO POWER PLANT USING ARTIFICIAL NEURAL NETWORKS
    (Punjab Agricultural University, Ludhiana, 2014) Kaur, Amninder; Sawhney, B.K.
    Economic operation and control of interconnected power systems involves the solution of difficult optimization problems that require good computational tools. Evolutionary Computation is an area of Computer Science that uses idea from biological evolution to solve problems. Evolutionary computation is one such tool that has shown its ability in solving complex problems. It can be implemented in various forms such as genetic algorithms. The current work presents a prominence for the optimization of the cost of generating units of hydro power plant by genetic algorithms. To optimize the cost of generated electricity, it is important to ensure constant generation of electricity during a time period. A good quality of the electric power system requires both the frequency and voltage to remain at standard values during operation. The foremost task is to keep the frequency constant against the randomly varying active power loads, which are also referred to as unknown external disturbance. The objectives are to minimize the transient deviations in frequency and to ensure their steady state errors to be zeros, so that constant power can be generated. Once optimized power will be generated it will automatically optimize the cost of generated power because generated power and cost of generated power are directly proportional to each other. Genetic algorithm (GA) is used for optimization of integral gains and bias factors, which are applied to automatic generation control (AGC). Tie-line bias KI and frequency bias parameter B are optimized by using real coded GA. It is used to search for the optimal set of parameters (KI and B), which in turn optimize the frequency factor. Using GA results are obtained for given set of hydro units and optimized cost corresponding to each set of hydro generating unit.
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    ThesisItemOpen Access
    Implementation and Performance Analysis of ClustalW Algorithm using Parallel and Distributed Computing
    (Punjab Agricultural University, Ludhiana, 2014) Jasrotia, Swati; Din, Salam
    Parallel version of bioinformatics applications can speed up the analysis of large scale sequence data, specially sequence alignment. sharing of distributed computing resources and data with the use of parallel version softwares on high performance computing is an emerging step. Clusters provide an excellent platform for solving a range of parallel and distributed applications in both scientific and commercial areas. Personal computer clusters are replacing the mainframe systems / super computers because of its cost effectiveness. In this paper, the performance result of parallel version ClustalW software is recorded on personal computer cluster with the help of an open source rocks toolkit. An easy to deploy, contract/expand, manage and scalable distributed environment is proposed and built for bioinformatics applications. The experimental results show that multiple sequence alignment of protein sequences with ClustalW software on rocks distributed environment gives high efficiency and speed up. It also shows cluster platforms are excellent alternative to access to super computing due to its price to performance ratio