Assam Don Bosco University Journals
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    795 research outputs found

    Exhaustive study on Detection of phishing practices and tactics

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    Due to the rapid development in the technologies related to the Internet, users have changed their preferences from conventional shop based shopping to online shopping, from office work to work from home and from personal meetings to web meetings. Along with the rapidly increasing number of users, Internet has also attracted many attackers, such as fraudsters, hackers, spammers and phishers, looking for their victims on the huge cyber space. Phishing is one of the basic cybercrimes, which uses anonymous structure of Internet and social engineering approach, to deceive users with the use of malicious phishing links to gather their private information and credentials. Identifying whether a web link used by the attacker is a legitimate or phishing link is a very challenging problem because of the semantics-based structure of the attack, used by attackers to trick users in to entering their personal information. There are a diverse range of algorithms with different methodologies that can be used to prevent these attacks. The efficiency of such systems may be influenced by a lack of proper choice of classifiers along with the types of feature sets. The purpose of this analysis is to understand the forms of phishing threats and the existing approaches used to deter them

    Hazardous Waste Management Through Plastic Brick

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    "Abstract: Waste which is toxic in nature, chemically active, or some of its characteristics causes potential hazard to human or environment and which cannot be stored, transported, treated or disposed without special precautions is known as hazardous waste. The latest report suggests that, in 2017-18 alone India has consumed 16.5 million tons of plastic which is worse according to industrial bodies. The main reason behind the slow degradation of plastic is its chemical structure which helps it to resist natural process of degradation and cause of plastic pollution in recent days. So in this paper we mainly discussed that rather keeping these plastic wastes in environment and wait for its degradation these plastic wastes can be recycled by producing bricks from it which can be used for construction purpose and can open up a new era in industry. Keywords: Plastic Bricks, Polyethylene, Sand compacted bricks

    Parameteric Optimization of Tensile strength and flexural strength in 3-D Printed components

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    Additive manufacturing the most widely and commonly used technologies of manufacturing. One of the methods of additive manufacturing is Fused Deposition Modelling (FDM). FDM printed parts are being used in various application nowadays such as Aircraft parts, Automobile parts and many more. In every application, these parts have to undergo various mechanical stresses such tension, compression and flexural, etc., strength of these parts majorly depends on the various input parameters using which these parts are printed. So here we have selected some of the parameters which can have impact on the tension and flexural strength of the parts. To study the impact, we selected three parameters which are Layer Thickness, Infill Density, Feed rate and we used the material Polylactic Acid (PLA) to print the parts. Further using Taguchi's L9 algorithm we developed a DOE of Nine experiments which included various combination of those parameters, through that DOE parts were printed for both tension and Flexural strength test. Later with using those parts we performed two tests respectively for both Tension and Flexural Strength. Universal testing Machine (UTM) was used for both the tests. Finally, after performing experiments following result was obtained optimum combination of input parameters for Tension Strength is 0.2mm Layer Thickness, 75% Infill Density and 10mm/s Feed Rate which had highest value of S/N ratio 31.0290, while for the flexural optimum combination of parameters are 0.3mm Layer Thickness,50% Infill Density, 10mm/s Feed Rate whose value of S/N ratio is 38.8501

    Treatment of Synthetic Textile Wastewater Using Ultrasonication as Advanced Oxidation Process

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    Wastewater crisis is one of the major problems faced by the globe. A due rapid increase in industrialization the quantity of wastewater generation has been increased exponentially. Textile industries contribute a major role in waste generation. A report suggests that textile industries contribute 17 to 20 % wastewater of total wastewater. Congo red which possesses a complex structure is widely used in the textile industry as the anionic dye is used to perform experiments. Congo red solution of 20 ppm was prepared in a lab. Ultrasonic bath of 40 kHz is used to check the efficacy of cavitation effect on decolorization of dye solution at different parameters such as volume, power, and sonication time and pH variation. Significant decolorization was obtained at 50W power and maximum % removal of color was observed at sonication time 180 min. Hydrogen peroxide was also used along with sonication but no significant effect on decolorization was observed

    Integration of Public Transport Fare: A Case Study of Ahmedabad

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    The Paper discusses the development of integrated fare structure for public transport in Ahmedabad. The main objective of the study is to bring the fare structure of the public transport services on same ground while taking into account the practical difficulties of collecting fare, electronic monitoring of passenger traffic, concessionary fares and fare integration modalities. Design of integrated fare systems is based on analysis of various parts of journey and fare collection methods. The basis of the study approach is developed by using the Toolkit on Fare Collection Systems for Urban Passenger Transport defined by World Bank. The study worked on all the transfers occurring in an area where an integrated fare system can exist, and make it possible the use of more means within certain limits and the choice of different itineraries with a single ticket. For integrated fare structure to work implementation of the general principles of the automated fare systems in transport is necessary. As a part of the study an integrated fare structure for the public transport services in Ahmedabad is formed with a model which will give out the fare of travelling in an integrated manner on putting in the values of the preferred mode and the distance to be travelled in each mode

    Modeling and Simulation of HybridMicrogridwith Renewable Energy Source in Grid-Connected Mode

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    Recent Technologies and Control Methods for Electric Power Systems in More Electric Aircrafts: A Review

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    This paper is aimed at discussing the current trends in the design of Electric Power Systems (EPS) architectures which are intended to be implemented in More Electric Aircrafts (MEAs). Various EPS architectures such as HVAC, HVDC, hybrid HVAC/HVDC etc are studied and compared. Various control techniques which are implemented in order to control the EPS are also reviewed and they are compared on the basis of power quality, ease of installation and maintenance, possibility of future expansion of EPS, need of active power filters and so on. On the basis of the evaluation of various EPS architectures, the need of fuel cell installation in the EPS to be used for MEAs is explained and various ways to incorporate the fuel cell in the said EPS are discussed. Further the need of DC to DC converters in the power grid of a MEA is discussed and various possible choices for the topologies of DC to DC converters are compared on the basis of the parameters such as efficiency, transient response, reliability, electromagnetic emissions, size, weight and so on. Moreover, various controllers such as PI controller, PID controller, Sliding Mode Controller etc which can be used for a closed loop control of DC to DC converters are discussed

    Crop Diseases Severity Identification by Deep Learning Approach

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    Improving yield and maintaining crop strength with optimization in use of resources are the major requirements in smart farming. To build a smart decision support system for improving production with flexibility, it requires   Remote Sensing Systems. Now days with effective use of machine learning and deep learning techniques, it is possible to make the system flexible and cost effective. The deep learning based system has enormous potential, so that it can process a large number of input data and it can also control nonlinear functions. Here it should be discussed that from continuous monitoring of crop leaves images shall ensures the diseases identification.The research concludes that the quick advances in deep learning methodology will provide gainful and complete classification of crop with 98.7% to 99.9% accuracy. In this research, different cropdiseases are classified based on image processing and Convolutional neural network method. For classification of maize crop diseases, different models have been developed, compared, and finally best one is found out.Also the finest model has been tested for different crop diseases to check its consistency

    Smart Grid Power Quality Improvement by using PV-DVR

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