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Thesis

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Subject: Computer Applications × Start date: 2012 × Type: Thesis ×
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Now showing 1 - 6 of 6
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    ThesisItemOpen Access
    Load balancing the network traffic in the nth mode of IPtables
    (Punjab Agricultural University, Ludhiana, 2016) Anupama; Gupta, O.P.
    Load balancing is the most crucial in order to develop the network applications. It optimizes the network interfaces that are present in the cluster. We know, everything belongs to internet these days. Various Servers are connected together with different IP addresses to form a network, to run many applications that are used by the users in daily life. With the increase in the popularity of the web, network traffic increases and need for fast access to the internet is on demand. For smooth services, redundancy of the servers is also required. A single server is not able handle all the traffic which results into a server crash. In this, Network is divided into different paths through which the transmission of packets is done. They are distributed on all the interfaces simultaneously. The network is always available without any delay, by detecting host failures and automatically redistributing the network traffic to other working servers. The performance of per-packet load balancing on different servers is investigated. Simulation results reveal that it is always beneficial to use load balancing and backup of other servers are always present in case of any failure in network.
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    ThesisItemRestricted
    Management of Bandwidth with Congestion Control in Packet Networks
    (Punjab Agricultural University, Ludhiana, 2016) Walia, Guneet Kaur; Gupta, O.P.
    With the growth of internet, the user’s requirements in terms of scale, functionality of network and performance of internet also increases. It becomes very important to guarantee the efficiency, stability and performance of a given network as per the user’s requirements. It is known that the data transfer between computers takes place in the form of packets. Given the network architecture of the underlying network, the performance of the network relies on control methods and effective flow management measures taken. Therefore congestion control ought to be the required premise. The support for congestion control is provided by Transmission Control Protocol (TCP). Many Active Queue Management (AQM) algorithms have been proposed that helps in congestion avoidance, the most basic of them is Random Early Detection (RED) Algorithm. Due to drawbacks of RED, many enhancements of RED were proposed. Dynamic gentle Random Early Detection (DGRED) is the latest enhancement of RED which has been implemented in Network Simulator-3 (NS-3). A network scenario consisting of 6 nodes has been taken. The performance of both the algorithms has been evaluated by configuring the routers and the results have been compared. Jitter parameter has been further testified by later on modifying the topology by adding another node. The topology modification brings out better jitter results.
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    ThesisItemOpen Access
    Development of a program for grading of spherical fruits using image processing technique
    (Punjab Agricultural University, Ludhiana, 2016) Simrandeep Kaur; Salam Din
    Agriculture is one of the largest economic sectors and it plays the major role in economic development of India. Fruits and vegetables are important for the healthy life. Fruits are the perfect sources for providing our body with all the necessary nutrients and vitamins. There are different varieties of fruits but Apple is one of the economically and culturally most important fruit crops and contributes significantly to human daily consumption. Still for grading the traditional inspection of fruits is performed by human experts, which is considered to be time consuming, tedious, labor intensive and expensive. So there is a need for automated system for accurate, fast and quality fruits grading. In this, method used for grading of apple fruit using the RGB image and apple are graded based on their outer surface. In order to grading a spherical fruit, we extract various external feature of a fruit like color, shape, size and Texture. The system uses RGB images of the fruit. From these image, it automatically extract the external features of the fruit Based on the extracted features it classifies fruit into two categories. The classification of apple fruit using the extracted features is done with the help of support vector machines (SVMs), classification is done and found accuracy of 100%.
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    ThesisItemOpen Access
    Development of an Expert System to Estimate the Specifications of Submersible Pump System Based on Geographical Information
    (Punjab Agricultural University, Ludhiana, 2016) Gurpreet Kaur; Derminder Singh
    Escalated need of water resources has created an issue of declination of water table depth in most of the parts of the state of Punjab (India) during past two decades. Thus there is an acute need to identify the spatial status of water table depth for the effective management of water resources. In this research, groundwater depth maps were prepared with the help of Geographical Information System and an expert system was developed using Java Standard Edition 7 which provide appropriate selection of submersible pump set and required associated components such as power cable wire diameter, length, generator capacity, ammeter rating, voltmeter rating, capacitor rating and Polyvinyl Chloride pipe diameter based on the spatial information of last 18 years (1998-2015) of ground water table for the state of Punjab. The developed system will be beneficial for the farmer’s in estimation of the required submersible pumping system and allied electrical components.
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    ThesisItemRestricted
    Studies on effect of blade shape and rotor speed of rotavator on pulverization and mixing quality
    (PAU Ludhiana, 2013) Shiva Bhambota; G S, Manes
    A study was conducted at Punjab Agricultural University, Ludhiana to evaluate the performance of commercially available rotavator blade shapes to find out the best combination of blade shape and rotary speed of rotavator for tillage and mixing operations. Experiments were conducted on three blade shapes (L, C and J) at three rotor speeds (180, 215 and 250 rpm) in two types of soils S1 (sand 75.5%, silt 12.4% and clay 12.1 %) and S2 (sand 24.2%, silt 34.8% and clay 41%) to study the effect of blade shape and rotor speed on pulverization index, mixing index, percent reduction in bulk density and fuel consumption. These treatment combinations were compared with control (Pulverization with single pass of disc harrow followed by single pass of cultivator). For measuring pulverization index, soil samples were taken after single pass of rotavator. Standard sieve analysis method was used to find the mean mass diameter (MMD) of sample soil particles for mixing of crop mass after the operation of rotavator, the pieces of the crop which were exposed to 1/3rd of their length or more were collected and weighed to find mixing index. Percent reduction in bulk density before and after treatment by rotavator was calculated using core sampler method for pulverization and mixing operation. For measuring the fuel consumption; fuel flow meter was installed in the fuel line of the tractor. The results for each dependent parameter (pulverization index, mixing index, percent reduction in bulk density and fuel consumption) were analyzed on the basis of Completely Randomized Design (CRD) test using software “CPCS 1”. J shape blades gave minimum pulverization index (3.06 and 8.57 mm) and maximum mixing index (80.72 and 91.43 %) at 250 rpm rotor speed as compared to L and C shaped blades and control for both soils S1 and S2 respectively. The average fuel consumption was maximum for J shape blades followed by L and C shape blades respectively for both pulverization and mixing in both soil types. C shape blades have minimum fuel consumption as compared to other two blade shapes for both types of soil for pulverization and mixing operation respectively. So, J shape blade at 250 rpm rotor speed can be considered as the best combination for pulverization and mixing.
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    ThesisItemRestricted
    DEVELOPMENT OF SOFTWARE FOR DISEASE AND PEST MANAGEMENT OF WHITE BUTTON MUSHROOMS USING WEB TECHNOLOGY
    (2014) Pratibha Goyal
    The cultivation of White Button Mushrooms is a carefully controlled biological system, however contamination with microorganisms, which are in ways, is inevitable. White Button Mushrooms are growing in Punjab and adjoining areas are carried out by seasonal growers with no almost environmental controls. In India majority of the mushroom holdings are lacking adequate compost preparation, pasteurization and proper environmental control facilities, which lead to the development of various diseases and pests sufficiently to a level to cause considerable yield loss. So this crop is always under threat of attack by diseases and pests. To diagnose these diseases and pests is difficult and subjected to expert opinion. This software is developed to automate the inspection of White Button Mushrooms and helps to identify diseases and pests. Diagnosing diseases and pests requires Microbiologist to describe the case. Moreover, there are some diseases which have similar symptoms making it difficult for non-experts to distinguish them correctly. This method of diagnosis and identification depends on comparison of the concerned case with the similar ones through one image or more of the symptoms and helps enormously in overcoming difficulties of non-experts. The proposed software will use colored images of defected mushrooms to detect and diagnose the disease and pest. It will help the farmers to identify any disease, any pest and make right treatment. This software is developed using ASP.Net and database using SQL Server 2008.