Informatics Publishing Limited

G. Manikandan ¹, N. Sairam ², S. Sharmili ², S. Venkatakrishnan ²

Affiliations
1 School of Computing, SASTRA University, Thanjavur, India-613401
2 School of Computing, SASTRA University, Thanjavur-613401, IN

Abstract

To extract the previously unknown patterns from a large data set is the ultimate goal of any data mining algorithm. Some private or confidential information may be revealed as part of data mining process. In this paper we use min-max normalization approach for preserving privacy during the mining process. We sanitize the original data using min-max normalization approach before publishing. For experimental purpose we have used k-means algorithm and from our results it is evident that our approach preserves both privacy and accuracy.

Keywords

Accuracy, Clustering, K-Means, Min-Max Normalization, Privacy

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G. Manikandan ¹, S. Srinivasan ²

Affiliations
1 Sathyabama University, Chennai, IN
2 CSE Department, Anna University of Technology, Madurai, IN

Abstract

In this paper, we have presented a novel approaches for effectively mining of spatially co-located moving objects from the spatial databases. We propose a novel technique for co-location pattern mining which materializes spatial neighbor relationships with no loss of co-location instances and reduces the computational cost with the aid of the Prim's Algorithm. The spatially co-location mining technique is efficient since it generates and filters the candidate instances. Subsequently, the neighborhood relationships are carried out by the designed neighborhood and the node membership functions which satisfy the minimum conditional threshold. This paper has been inspired by the Join-less approach for mining spatial co-location patterns. We use a spatial database that contains the moving objects and its corresponding spatial location for spatial co-location pattern mining to mine spatially co-located moving objects.

Keywords

Spatial Data Mining, Co-Location, Prim's Algorithm, Moving Objects.

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G. Manikandan ¹, S. Srinivasan ²

Affiliations
1 Sathyabama University, Chennai, IN
2 Department of Computer Science, Anna University of Technology, Madurai, IN

Abstract

In this paper, we have presented a novel approaches for effectively mining of spatially co-located moving objects from the spatial databases. We propose a novel technique for co-location pattern mining which materializes spatial neighbor relationships with no loss of co-location instances and reduces the computational cost with the aid of the Prim's Algorithm. The spatially co-location mining technique is efficient since it generates and filters the candidate instances. Subsequently, the neighborhood relationships are carried out by the designed neighborhood and the node membership functions which satisfy the minimum conditional threshold. This paper has been inspired by the Join-less approach for mining spatial co-location patterns. We use a spatial database that contains the moving objects and its corresponding spatial location for spatial co-location pattern mining to mine spatially co-located moving objects.

Keywords

Spatial Data Mining, Co-Location, Prim's Algorithm, Moving Objects.

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G. Manikandan ¹, M. Ananda Rao ¹

Affiliations
1 SS Institute of Technology, Hyderabad, IN

Abstract

Axial compressor cascade blade shape optimization has been carried outto obtain improved aerodynamic performance using genetic algorithm optimization technique assisted by modified vortex panel flow solver. Three set of compressor cascades with aspect ratio 4.16, 3.246 and 2.0 have been designed and fabricated with solid side walls for experimental investigations. Compressor cascade mounting system has been designed and fabricated for mounting the cascade on the wind tunnel. To ensure resonance free testing in the wind tunnel and avoid flutter problems, Finite element model of compressor cascade mounting system has been developed and modal analysis have been carried out to glean the natural frequencies of vibration. NACA 9410-83 aerofoil has been chosenas a baseline aerofoil for blade section profile with 45, 55 and 65 degrees stagger angles respectively for high, medium and low aspect ratio compressor cascades. The compressor cascades have been tested at 0.06, 0.07 and 0.08 low subsonic Mach number and 0 to 5 degrees angle of attack. Modified vortex panel method has been formulated and validated by experimental investigations. Substantial differences in aerodynamic performance have been investigated between the baseline aerofoil profiled compressor cascade and genetic algorithm optimized aerofoil profiled compressor cascade.

Keywords

Aspect Ratio, Compressor Cascade, Modified Vortex Panel, Stagger Angle.

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G. Manikandan ¹, M. Ananda Rao ¹

Affiliations
1 SS Institute of Technology, Hyderabad, IN

Abstract

Genetic algorithm optimization technique has been implemented for the aerofoil shape optimization. Normal to reference line method has been implemented for design space refinement. NACA 0012 symmetrical aerofoil was chosen as baseline aerofoil. Sequential computing technique has been applied. Composite wing models have been designed and fabricated for wind tunnel testing. Microcontroller has been designed and fabricated for varying the angle of attack of wing model in the wind tunnel. Aerodynamic characteristics of GA optimized wing models have been obtained first by experimental analysis from a subsonic, low Reynolds number wind tunnel at varying angle of attack and then by numerical second order vortex panel method. Modal analysis has been carried out by both experimental and finite element method. Bending and Torsional natural frequencies have been obtained. The aerodynamic characteristics and mode frequency results gleaned have been compared with standard NACA 2412 aerofoil. Computational time for Genetic Assisted Computational flow solver has been compared with Genetic Assisted Vortex panel method.

Keywords

Composite Wing, Genetic Algorithm, Microcontroller, Wind Tunnel.

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G. Manikandan ¹, G. Murugan ¹, K. Raghukandan ²

Affiliations
1 Department of Mechanical Engineering, Annamalai University, Annamalai Nagar – 608 002, Tamil Nadu, IN
2 Department of Manufacturing Engineering, Annamalai University, Annamalai Nagar – 608 002, Tamil Nadu, IN

Abstract

Objectives: In this study, the heat capacity and heat flow of varied grain size of copper and diamond powders were investigated. Methods: Heat capacity and heat flow of varied grain size of copper (1 μm-70 μm) and diamond powders (2 μm-300 μm) were measured using differential scanning calorimetry (DSC). The thermal properties of copper and diamond powders were determined in a temperature range of 0-500oC, with a heating rate of 5k/min in a nitrogen environment. Findings: Heat capacity and heat flow of copper and diamond powders increases with grain size and it is consistent with earlier researchers. Heat capacity of copper and diamond powders also increases with grain size. The heat capacity and heat flow was 1.4 J/gk and 0.24 mW/mg respectively for 60-70μm grain size of copper powder, whereas the values of the same were found to be 0.9 J/gk and 0.4 mW/mg for diamond powder of grain size in the range of 270 to 300 μm is determined. This study reveals that the diamond powders show better thermal performance over copper powder. Application/Improvements: Determination of thermal behavior is critical in determining the amount of heat transferred in micro electronics and solar thermal based applications.

Keywords

Copper, Diamond, Differential Scanning Calorimetry, Grain Size, Thermal Behavior.

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P. Anirudh Akarsh ¹, G. Manikandan ¹

Affiliations
1 Department of Civil Engineering, SRM University, Kattankulathur, TN, IN

Abstract

In India complaints of poor quality and unsafe practice of construction have been traditional problems which have to be rectified as the industry is at rapidly growing phase. Automation technologies have a promising potential which can overcome various barriers and enhances the efficiency and productivity of construction firms. Automation can be broadly implemented in all the phases of construction from initial design through onsite execution, maintenance and management control over the project. By identifying the major barriers for implementation in Onsite construction and suggesting the possible measures to overcome them, contribution could be made in promoting the available robotics and automation technologies and provide scope for better understanding and facilitating. This paper discusses the existing state of automation and robotics in Indian construction industry and stimulates the future potential of construction firms. Further discussions are made on major barriers for implementation of automated technologies, and certain areas where automation technologies can be adopted will be presented.

Keywords

Indian Construction, Automation, Robotics, Barriers, Remedies.

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M. R. Mohanraj ¹, J. Pavalam ¹, P. Dhamayanthi ¹, R. Kowsalya ¹, G. Manikandan ¹, K. M. Arunkumar ¹

Affiliations
1 Department of EEE, Excel College of Engineering &Technology, Pallakkapalayam, Nammakkal (Dist), Pincode637303, IN

Abstract

The investigation proposes a technique to enhance dc-interface voltage of static synchronous compensator (STATCOM) in view of burden remuneration necessity utilizing help converter incorporated with Photograph Voltaic (PV) framework. . The most extreme power point following (MPPT) of PV boards is accomplished by examination consequence of ANN and ANFIS calculation. The outcomes have been confirmed through reproduction and trial studies. this paper suggests decline the voltage droop ,reactive  power controlled and harmonics  reduced, etc.

Keywords

THD Reduction, Mitigation of Voltage Sag, Power Quality Enhancement STATCOM, ANN and ANFIS, Simulink /MATLAB, etc.

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