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Effective Test Case Prioritization using Combination of Diagnosis Matrix & Back Propagation Network
Govind Verma ; Sunil Kumar
Software Engineering
Year: 2018, Volume:5, Issue : 6
Pages: 1 - 9
The fault localization is one of the time consuming activities in program debugging, so developers are locating faulty code by ranking program statements according to their likelihood of being faulty. A variety of fault localization techniques utilizing different types of ranking functions have been proposed in the past. So the programmer identifies those diagnosis strategies for a long time. After analyzing various information, it failed to prioritize the test cases so it needs an efficient fault localization, which will diagnosis the localization and prioritize the faults according to its priority. There are several case studies, which improves the high level of diagnosis but in this paper we provide it’s reducing testing effort, and provide priority accuracy as far as possible and compared it to the efficiency of two (Back propagation Network & diagnosis matrix) fault localization techniques. The result shows that our approach is highly effective, as we can locate more than 90% of the faults by examining the top 20% of the statements in the ranking list and discuss some of the key issues and concerns that are relevant to fault localization.
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Experimental Investigation of Mechanical Characterization of Aluminum Metal Matrix Composite Material
Sanjay Bairwa ; Sharad Shrivastava; Raghav Singh Dhaker
Production Engineering
Year: 2018, Volume:5, Issue : 6
Pages: 10 - 17
Aluminum composite material has become the most widely used substrate within the sign and display industry due to the many benefits which this material provides. The properties of composite materials increased by adding various types of fillers as reinforcing materials. These alloy is widely used in various industrial and engineering field aerospace, novel and wear application due to their higher tensile strength, young’s modulus and higher wear resistance properties. The paper deals with the development of aluminum alloy composites using Nickel/Copper metal powder filler. The main objective of this to find out the impact of % wt of copper and nickel particulates on different mechanical properties of Al 5083/Cu/Ni/ matrix composites. The result has to be shown that among all the fabricated MMCs, the MMC having 2% wt of Ni and 2% wt of Cu higher compressive strength and highest ultimate tensile strength and the MMC having 3 % wt of Ni and 2 wt % of Cu exhibited having higher impact strength, impact strength among all the fabricated MMCs.
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Security Enhancement for Data Objects in Cloud Computing
Sandeep Kumar Polu
Computer Science and Information Technology
Year: 2018, Volume:5, Issue : 6
Pages: 18 - 21
Distributed computing has an advantage in the accessibility of services with least expense and simple adaptability. Cloud gives distinctive services efficiently, however, a few difficulties are present in it. Overall security concerns, synchronization, versatility, and replication are imperative issues. Data replication implies numerous duplicates of the same data in various servers. In distributed computing data replication is putting away numerous duplicates of the same data on various servers, locally or at remote destinations. In the event that information is available at one site, at that point it will be exceptionally dubious to deal with the prerequisites for getting to the data. The server will confront a load situation and system performance may degrade. In this paper, I am going to present Division and Replication of Data in Cloud for Optimal Performance and Security approach for fragment data objects which are uploaded by the data provider and execute a graph-based approach to calculate the distances utilizing the T-Coloring technique to foresee the data nodes for putting fragmented data. This proposed methodology is exceptionally valuable to the data provider for shielding data from assailants. At that point, we expand our methodology for checking consistency in cloud framework at the time of file update. Also, propose a heuristic auditing strategy (HAS) which adds peruses to uncover whatever the number of infringements as could be expected under the circumstances. It tends to be finished by utilizing client activity table. Every user keeps up a User Operation Table for recording local task. Each record in the User Operation Table portrays three components: operation, physical vector, and logical vector. Trial results give enhanced security and reduced recovery time for getting data from the cloud storage and executed in cloud systems.
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Influence of 2D versus 3D Modeling on the Fatigue Limit Calculations of Bearing Steels during Rolling Contact Fatigue
Anup Pandkar ; Bryan Allison
Mechanical Engineering
Year: 2018, Volume:5, Issue : 6
Pages: 22 - 30
Previous analytical/computational studies on the estimation of fatigue limit of bearing steels under Rolling Contact Fatigue (RCF) were based on the concept of absence of micro-plasticity near inclusions. However, these studies were based on 2D models rather than realistic 3D models. In present research, the influence of a simplifying 2D finite element modeling assumption on the accuracy of the predicted fatigue limit has been quantified. The results of this study show that a 2D FE model over-predicts the fatigue limit compared to a 3D model in the case of stiff inclusions, and substantially under-predicts it in the case of compliant inclusions and pores. There-fore, it is suggested that use of 3D modeling should be employed, and extreme care must be taken in interpreting the estimates of fatigue limit obtained from 2D models. On a broader scale, the outcomes of this study highlight key differences between 2D versus 3D modeling when studying complex fatigue failure mechanisms such as RCF.
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Human Activity Recognition on Smartphones using Machine Learning Algorithms
Sandeep Kumar Polu
Computer Science and Information Technology
Year: 2018, Volume:5, Issue : 6
Pages: 31 - 37
Activity Recognition is one among the most imperative period at the back of various applications like human survey system, clinical investigation and it is a functioning examination subject in smart homes and smart health. Smart mobiles are outfitted with various worked in detecting sensors like a gyroscope, accelerometer, GPS sensor and compass sensor. We can structure a device to catch the condition of the user. Activity Recognition (AR) framework takes the unrefined sensor data from compact sensors as sources of information and assessments a human movement using data mining and machine learning systems. In this paper, we examine the execution of two sort calculations i.e. Random Forest (RF) and Modified Random Forest (MRF) in an online Activity Recognition framework running on Android frameworks and this technique can underpin online training and class the utilization of the accelerometer data most successfully. For the most part, first, we utilize the Random Forest classification algorithm related next we tend to use an improvement of Modified Random Forest i.e. MRF. For the rationale of Activity Recognition, Modified Random Forest will expel the computational complexities of the Random Forest through developing decision trees (creating littler preparing units for each activity and class may be done dependent on those diminished preparing sets). We will expect the general execution of these classifiers from a movement of observations on human movements like sitting, walking, running, resting and standing in an online activity recognition contraption. On this paper, we're proposed to break down the general execution of classifiers with constrained preparing records and confined open memory on the smart devices contrasted with offline.
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Solution of Unit Commitment by Artificial Intelligence Techniques
Ashutosh Kantilal Parmar ; Dipesh Doshi
Electrical Engineering
Year: 2018, Volume:5, Issue : 6
Pages: 38 - 44
An important criterion in power system is to meet the power demand at minimum fuel cost using an optimal mix of different power plants. Moreover, in order to supply electric power to customers in a secured and economic manner, unit commitment is considered to be one of the best available options. It is thus recognize that the optimal unit commitment results in a great saving for electric utilities. Unit Commitment is the problem of determining the schedule of generating units subject to device and operating constraints. The unit commitment has been identified for the thesis work. The formulation of unit commitment has been discussed and the solution is obtained by classic Dynamic Programming method, Ant Colony Optimization technique and or by Particle Swarm Optimization method. MATLAB codes have been generated for all the three methods to solve the unit commitment problem. The effectiveness of these methods has been tested on two systems comprising three units and six units and total operating cost is obtained. The results of unit commitment problem by all the three methods are compared for total operating cost and for computation time.
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Parametric-Combustion Modeling of Crude Oil-Spilled Mangrove Vegetation
Agberegha, Orobome Larry ; Nwigbo, Chuka Solomon; Godspower Edafeadhe
Mechanical Engineering
Year: 2018, Volume:5, Issue : 6
Pages: 45 - 57
Combustion, or burning, has been defined as a high-temperature exothermic redox chemical reaction between a fuel (the reductant) and an oxidant, usually atmospheric oxygen, that produces oxidized, often gaseous products, in a mixture termed as smoke. The modeling of turbulent combustion is complex and requires the consideration of different physico-chemical processes involving a vast range of time and length scales as well as a large number of scalar quantities. In modeling combustion, the fuel was considered as single gas species, the air and products referred to as “lumped speciesâ€. By implication, therefore the fuel for the combustion was considered a lumped species representing a mixture of gas species that transport together (i.e., the lumped species has a single set of transport properties); the lumbed species was assumed to react together. From our modeling simplication, the lumped species was treated as a single species; consequently, to reduce the number of transport equations from solving explicitly seven transport equations to the lowest possible number of equations we assume a single-step reaction. it is observed that irrespective of the computational frame number as well as the computational timestep, the maximum temperature field is 1000oC and the maximum heat release rate per unit area is 150 kW/m2.
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Low Power and High Speed Carry Select Adder using Skip Logic
G. Naveen Balaji ; B. Indhumathi; K. Ishwarya; K. Jamuna; T. Prabhu
Electronics & Communication Engineering
Year: 2018, Volume:5, Issue : 6
Pages: 58 - 62
This paper clearly focused on Carry Skip Adder (CSA) which gives an advantage of reducing delay, area and power. Usually Ripple carry adder which is used to perform arithmetic operations to perform fast design duration compared with other conventional methods, but lacks with a limitation of generating carry bits. The proposed architecture is designed using Verilog HDL and is then synthesized using Xilinx.
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Abstract
