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In this paper for executing and assigning different tasks heuristic algorithm is proposed. It minimizes the mean tardiness (lateness of due date) with utilizing maximum resources. Performance of algorithm evaluated with three examples with 40 number of tasks and processors Cloud computing is the most popular technology to improve system performance with efficient task scheduling algorithm. To perform multiple goals in task scheduling it is an important way to arrange customer needs with an order. Many papers attempted various areas like allocation of possessions, protection, seclusion and scheduling. Execution time, Execution cost, memory and resources are main areas focused by existing researchers. In this work for executing and assigning different tasks heuristic algorithm is proposed. It minimizes the mean tardiness (lateness of due date) with utilizing maximum resources. Performance of algorithm evaluated with three examples with 120 number of tasks and processors. [ABSTRACT FROM AUTHOR]

To perform multiple goals in task scheduling it is an important way to arrange customer needs with an order. Many papers attempted various areas like allocation of possessions, protection, seclusion and scheduling. Execution time, Execution cost, memory and resources are main areas focused by existing researchers. In this paper for executing and assigning different tasks heuristic algorithm is proposed. It minimizes the mean tardiness (lateness of due date) with utilizing maximum resources. Performance of algorithm evaluated with three examples with 40 number of tasks and processors Cloud computing is the most popular technology to improve system performance with efficient task scheduling algorithm. In this work for executing and assigning different tasks heuristic algorithm is proposed. It minimizes the mean flow time with utilizing maximum resources with existing process time and travel time. [ABSTRACT FROM AUTHOR]

Cloud computing is the most popular technology to improve system performance with efficient task scheduling algorithm. To perform multiple goals in task scheduling it is an important way to arrange customer needs with an order. Many papers attempted various areas like allocation of possessions, protection, seclusion and scheduling. Execution time, Execution cost, memory and resources are main areas focused by existing researchers. In this work for executing and assigning different tasks heuristic algorithm is proposed. It minimizes the both completion time and execution time with utilizing maximum resources. Performance of algorithm evaluated with three examples with 40 number of tasks and processors with given process time and travel time. [ABSTRACT FROM AUTHOR]

Performance of algorithm evaluated with examples with 40 number of tasks and processors cloud computing is the most popular technology to improve system performance with efficient task scheduling algorithm. Execution time, Execution cost, memory and resources are main areas focused by existing researchers. In this work for executing and assigning different tasks heuristic algorithm is proposed. It minimizes the number of operations in the system with utilizing maximum resources with given process time and travel time. To perform multiple goals in task scheduling it is an important way to arrange customer needs with an order. Many papers attempted various areas like allocation of possessions, protection, seclusion and scheduling. [ABSTRACT FROM AUTHOR]

Performance of algorithm evaluated with three examples with 40 number of tasks and processors with considering half of the travel time and triple the process time. Many papers attempted various areas like allocation of possessions, protection, seclusion and scheduling. Execution time, Execution cost, memory and resources are main areas focused by existing researchers. Cloud computing is the most popular technology to improve system performance with efficient task scheduling algorithm. To perform multiple goals in task scheduling it is an important way to arrange customer needs with an order. Many papers attempted various areas like allocation of possessions, protection, seclusion and scheduling. Execution time, Execution cost, memory and resources are main areas focused by existing researchers. In this work for executing and assigning different tasks heuristic algorithm is proposed. It minimizes mean flow time and execution time with utilizing maximum resources. [ABSTRACT FROM AUTHOR]

In this paper for executing and assigning different tasks heuristic algorithm is proposed. It minimizes the mean tardiness (lateness of due date) with utilizing maximum resources. Performance of algorithm evaluated with three examples with 40 number of tasks and processors Cloud computing is the most popular technology to improve system performance with efficient task scheduling algorithm. To perform multiple goals in task scheduling it is an important way to arrange customer needs with an order. Many papers attempted various areas like allocation of possessions, protection, seclusion and scheduling. Execution time, Execution cost, memory and resources are main areas focused by existing researchers. In this work for executing and assigning different tasks heuristic algorithm is proposed. It minimizes the mean tardiness (lateness of due date) with utilizing maximum resources. Performance of algorithm evaluated with three examples with 120 number of tasks and processors. [ABSTRACT FROM AUTHOR]

Performance of algorithm evaluated with examples with 40 number of tasks and processors Cloud computing is the most popular technology to improve system performance with efficient task scheduling algorithm. To perform multiple goals in task scheduling it is an important way to arrange customer needs with an order. Many papers attempted various areas like allocation of possessions, protection, seclusion and scheduling. Execution time, Execution cost, memory and resources are main areas focused by existing researchers. In this work for executing and assigning different tasks heuristic algorithm is proposed. It minimizes the mean tardiness (lateness of due date) with utilizing maximum resources with double the process time and half of the travel time. [ABSTRACT FROM AUTHOR]

In this work for executing and assigning different tasks heuristic algorithm is proposed. It minimizes mean tardiness (lateness of due date) with utilizing maximum resources. Cloud computing is the most popular technology to improve system performance with efficient task scheduling algorithm. To perform multiple goals in task scheduling it is an important way to arrange customer needs with an order. Many papers attempted various areas like allocation of possessions, protection, seclusion and scheduling. Execution time, Execution cost, memory and resources are main areas focused by existing researchers. In this work for executing and assigning different tasks heuristic algorithm is proposed. It minimizes the both completion time and execution time with utilizing maximum resources. Performance of algorithm evaluated with three examples with 40 number of tasks and processors. [ABSTRACT FROM AUTHOR]

Many papers attempted various areas like allocation of possessions, protection, seclusion and scheduling. Execution time, Execution cost, memory and resources are main areas focused by existing researchers. Cloud computing is the most popular technology to improve system performance with efficient task scheduling algorithm. To perform multiple goals in task scheduling it is an important way to arrange customer needs with an order. Many papers attempted various areas like allocation of possessions, protection, seclusion and scheduling. Execution time, Execution cost, memory and resources are main areas focused by existing researchers. In this work for executing and assigning different tasks heuristic algorithm is proposed. It minimizes the both completion time and execution time with utilizing maximum resources. Performance of algorithm evaluated with three examples with 40 number of tasks and processors with considering half of the travel time and triple the process time [ABSTRACT FROM AUTHOR]

To perform multiple goals in task scheduling it is an important way to arrange customer needs with an order. Cloud computing is the most popular technology to improve system performance with efficient task scheduling algorithm. Many papers attempted various areas like allocation of possessions, protection, seclusion and scheduling. Execution time, Execution cost, memory and resources are main areas focused by existing researchers. In this work for executing and assigning different tasks heuristic algorithm is proposed. It minimizes the both completion time and execution time with utilizing maximum resources. Performance of algorithm evaluated with three examples with 40 number of tasks and processors with half of the travel time and double of the process time. [ABSTRACT FROM AUTHOR]

Roller compacted concrete(RCC) is similar to conventional concrete but it is having zero slump.The major advantage of Roller Compacted Concrete Pavement (RCCP) is it is more economical than the conventional concrete. In this research banana fibre is taken as the natural fibre. In this paper feasibility study of the composition for the RCCP with Nano Silica and Banana fibre has been specifically studied. Compressive tests according to IS 519 are conducted on RCCP using various compositions of Nano Silica such as 0%, 0.25% , 0.5% , 0.75% , 1.0% , 1.25% , 1.50% , 1.75% , 2.0% , 2.25% , 2.50%, 2.75% & 3.0% and also Banana Fibre of compositions 0.5%, 1.0% , 1.5% , 2.0% 2.5%, 3.0%. The results states that the feasible composition of Nano Silica isupto 2% and Banana fibre is upto 1.5%. Using the above conclusion further research can be carried out. [ABSTRACT FROM AUTHOR]

In Finite Element analysis the size of mesh plays a critical role. It is closely said that accuracy and number of mesh required for the meshing of the element. This paper presents the effect of the von misses and various constraints on the accuracy of the result. On the basis of the papers referred and guidelines obtained for choosing the appropriate mesh size in finite element analysis has been provided and explained about the von misses stress occurred in the model. The web reinforcement should be strengthened enough to carry tension forces as well as compression forces so that the compression wrinkling is avoided. Von mises proves to be the perfect safe value for the designing of composite structures which involves various stress theories and failure criteria. [ABSTRACT FROM AUTHOR]

Scramjet is an air-breathing engine that uses the oblique or conical shock waves generated during the hypersonic/supersonic flight, to promote compression and deceleration of free stream atmospheric air at the inlet of the scramjet. The combustion includes turbulent mixing, shock interaction and heat release in supersonic flow. The problem associated with combustion is mixing of fuel with air. The scramjet engine can be operating at Mach no. 3.4 to 5 in order to eliminate other propulsive engine. Here the number of ramps and the ramp angle is changed and the thickness and length of combustion chamber is changed. If the length and thickness of the combustion chamber is changed then the fuel will get enough time to mix with air to achieve the desirable thrust. The main objective of this project is to design a scramjet inlet and combustion chamber for efficient fuel combustion by flow analysis. This includes the variation of flow from inlet and combustion chamber by considering the boundary conditions of scramjet engine design. The flow analysis is carried out here by using computational fluid dynamics (CFD) and the modelling of engine's inlet and combustion chamber is done using CATIA. [ABSTRACT FROM AUTHOR]

In this paper, An EEG-based home automation and anomaly detection of physically challenged people has been designed using Neurosky Mind wave headset. This project has been implemented to make the automation easier and to detect abnormality of physically challenged people .The operation involves by collecting average thoughts in different states of mind as EEG (Electroencephalogram) waves using neurosky headset which has three electrodes connected to ear lobe and frontal lobe of the brain. The collected data are processed by a Brain Wave Automation/Anomaly Detection algorithm (BWAD) of each state like meditation, attention and eye blink using Raspberry pi. Based on the calibration of processed data are used to actuate the electronic appliances as well as to find the abnormality of physically challenged/impaired people. [ABSTRACT FROM AUTHOR]