98 research outputs found

    Cu2+ uptake by Chlorococcum hemicolum - A Xeric Chlorophycean Alga

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    Bioremediation of copper by xeric chlorophycean bioremediator, Chlorococcum hemicolum was investigated. The growth rates at various concentrations of Cu2+ were assessed in terms of protein level and 8 mg L-1 (37.67 % level in growth kinetics) is the tolerance limit. Absorption/adsorption kinetics was estimated after 240 hrs of Cu2+ treatments. Absorptions were higher than adsorption with maximum accumulation factor (AF) of 1.40. The Cu2+ concentration and absorption were linearly related (r = 0.99; p>0.01). Other biochemical parameters like total sugar, chlorophyll and carotenoids were also quantified to correlate the state of metabolism and these exhibited reduction due to heavy metal stress

    A Novel Approach for User Authentication for IoT Devices Using Human Pulse and IoT Cloud for OTP Generation

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    Internet of Things (IoT) integrates numerous devices into networks for providing intelligent and advanced services to the user community. With these devices that provide services to humans they should protect human privacy and secrecy. Many attacks are possible in the current world like DoS attacks, eaves dropping, user identity theft etc. To mitigate such attacks we develop an approach which uses human pulse for generating OTP and to authenticate the user based on OPT Authentication. This approach provides better authentication since the OTP is generated using IoT Cloud and pulse of humans which is dynamic in nature

    Influence of Graphene and Alumina on Mechanical and Microstructural Properties of AL7075 based Hybrid Composites

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    AL-7075 with particulates of reinforcement carries superior stiffness, maximum strength and better wear resistance when differentiate to unreinforced matrix alloys. They have been used for the self-propelled automotive spare parts and goods and aircraft assemblies. Aluminium Metal Matrix Hybrid Composite (ALMMHC) focus on the mainly cost and life time of the fabricated components. The requirements of industry (ALMMHC) are available in chiefly and eco-friendly and those have good specific strength and wear resistance for production applications. Aluminium alloy as a matrix material and graphene and alumina as reinforcement has good potentiality. In this study AL7075- graphene [1] and alumina particulates castings with various volume proportions of graphene and alumina particulates were fabricated in the oxygen free argon atmosphere at stir casting methodology. At my investigation we found the increasing weight % of reinforcement graphene and alumina with there is an enhancement of specific strength [2] of the produced hybrid composite. Pin-on-disc tester utilized for dry sliding wear behaviour [3] of ALMMHCs at dry laboratory process

    Characterization of Stir Cast Al-6063 Alloy Based Hybrid Composite Reinforced With Quarry Dust, Fly Ash and SIC

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    The investigation of this research work study the potential grains of quarry dust (QD), fly ash (FA) and silicon carbide (Sic) as a reinforcements of this hybrid metal matrix composite. In this al-6063 alloy metal matrix hybrid composite the quantity consist of 4wt%, 6wt%, and 8wt% QD-FA-SIC respectively. The Brinell hardness, tensile nature, and compression of those hybrid composites has explore the results according to ASTM grades. The particle size, grain structural boundaries have been investigate by the help of computerized inverted metallurgical microscope. Influence of quarry dust and fly ash in the hybrid metal matrix composites has the good metallurgical and mechanical properties than unreinforced matrix. For the comparison of these, of reinforced the properties of unreinforced matrix to reinforced hybrid composite was evaluated under dry laboratory conditions

    Survey on Dynamic Query Forms for Database Queries

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    The databases used in today’s scientific research and web handle huge volumes of data. Such databases contain hundreds or even thousands of complex relations and attributes. The proposed system that implements dynamic query forms for non-relational data. The DQF captures a user’s preference and ranks query form components which assists the user in making decisions. Query form generation is an iterative process and initially requires user guidance in the form of feedback .The system automatically generates ranking list of form components, at each iteration and the desired form components are added by the user in Query forms. The ranking of form components depend on the captured user preference. The query results can be viewed at each iteration by the user after filling and submitting the query form. In order to measure the quality of the results generated by the Query form, a probabilistic model has been developed

    Mechanical Properties and Triobological Behavior of Stir Cast Al-6063 Alloy Based Hybrid Composite

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    India is one of the developing countries that need to face the many challenges in automotive industry. In industries usage of heavier materials are replaced by aluminium alloys because of its good properties. The objective of this work is investigating the influence of quarry gravel powder (QGP), silicon carbide (Sic) and fly ash (FA) particles of fraction percentage on the mechanical properties and wear behavior of Al6063 based alloy metal matrix composites. The abrasive ceramic particles, fly ash and gravel powder reinforced in the metal matrix are the cause of improvement in mechanical and tribological properties of the materials. The al 6063 metal matrix hybrid composite consist of 4 wt%, 6 wt%, and 8 wt% QGP-SiC‚ÄďFA respectively was processed by using stir casting technique procedure. Tribological Wear behavior of the developed hybrid composites was characterized at different loads, sliding velocities and distances using pin-on-disc method. The experimental results are discuss that the applied load and reinforcement of wt% are the major parameters influencing the specific wear rate for all samples, followed by weight fraction of reinforcement, sliding velocity and sliding distance

    Design and implementation of Automatic Aquarium System using IOT

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    In modern days many people have fish as their pets in home. Everyone loves fishes and required aquarium for their home. But maintaining aquarium is difficult task. We need to change water time by time, feed fishes time to time. Again it is difficult to check the conditions of an aquarium manually. Therefore it important to automate aquariums. Here we have implement an IOT based system which monitor and control the whole aquarium automatically and provide real time status on userÔŅĹs Smartphone application. It contains water quality management in which It will monitor the physical changes in the water and will maintain it to the ideal conditions, with required changes. The aquarium will perform all the steps automatically like temperature control, turbidity level control, light monitor, feeding, water renewal etc. It will reduce the manual effort required in maintenance of aquariums by automating the aquarium management process. also automatic food feeding system operated by servo motor mechanism which used to feed fishes on regular time intervals. Dead fish mechanism is there which will detect the dead fish. In addition camera is connected to aquarium system using which user can see live operation occurring in system with the help of smart phone. The aim of our project is to replace manual maintenance of fish aquarium with an Automated system by using IOT


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    Heat exchangers are one of the most important components of the processing industries and also power plants. The pressure drop and the temperature variation in them are altered based on the component design as per operating parameters. As an integral part of design, baffles which are part of the heat exchanger serve the purpose in altering the pressure drop. In order to reduce the flow induced vibrations and reduce pressure drop different types of baffles are being designed and used and one such baffle is helical baffle. Helical baffles force the flow through the system be to be rotational and follow a helical path due to the geometry of the continuous helical baffles, which results in a significant increase in heat transfer coefficient per unit pressure drop in the heat exchanger. Besides this a properly designed continuous helical baffles can reduce fouling in the shell side and prevent the flow-induced vibration as well. In the current study an attempt has been made to understand the influence of baffle design on the pressure drop in the heat exchanger. A comparison was made between a segmental baffled, helical baffled and a bafflesless heat exchanger by designing the baffles and performing CFD simulation using CATIA V5 and ANSYS 15.0. It was concluded from the results that helical baffles which are our primary interest of study showed an effective pressure drop of 0.17134Pa which varied slightly from the other two. Further the pressure drop can be improved by modifying the design of heat exchanger with helical baffles

    Dynamic Query Forms for Non-Relational Database

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    With quick advancement of investigative databases and web data databases are turning out to be exceptionally colossal in size and complex in nature. These databases hold extensive and heterogeneous information, with huge number of relations and qualities. So it is exceptionally hard to outline an arrangement of static inquiry structures to answer different specially appointed database inquirieson these cutting edge databases. Along these lines there is need of such framework which create Query Forms powerfully as indicated by the clients need at run time. The proposed framework Dynamic Query Form i.e.DQF framework going to give an answer by the inquiry interface in extensive and complex databases. In proposed framework, the center idea is to catch client intrigues all through client associations and to adjust the inquiry sort iteratively. Each cycle comprises of 2 sorts of client collaborations: Query Form Enrichment and Query Execution. In Query Form Enrichment DQF would prescribe a positioned rundown of question structure part to client so he/she can choose sought structure segments into current inquiry structure. In Query Execution client fills current inquiry shape and submit question, DQF going to show result and take input from client on gave question results. A client would have office to fill the inquiry frame and submit questions to see the inquiry result at every cycle. So that a question structure could be progressively refined till the client fulfills with the inquiry results
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