Rathinam Technical Campus

Coimbatore, India

Rathinam Technical Campus

Coimbatore, India
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Prabhu T.,Rathinam Technical Campus
International Journal of Mechanical Engineering and Technology | Year: 2016

The purpose of this paper is to design and fabricate an unmanned surface vehicle (USV) for the coastal surveillance for the maritime of India. It aims to monitor territorial waters on a round-the-clock basis and allows the intelligence to take appropriate action to prevent terrorism, illegal smuggling and human trafficking as the continuous use of an aircraft for surveillance is prohibitively expensive along the Indian coastline which is a massive stretch measuring 7,517km.In this paper an Air Cushioned Vehicle (ACV) popularly known as a Hovercraft is chosen for surveillance as it has the ability to traverse any surface compared to other coastguard vessels thereby earning the title of amphibious boats. Its ability to access 75% of littoral allows them to come on shore during emergencies unlike conventional coastguards that have only 5% littoral access and cannot enter shallow water. Another major advantage of using this surface vehicle is it is easy to operate and noiseless compared to conventional vessels that generate wakes at high speeds unlike the ACV. The Hovercraft are fitted with a variety of sensors for intelligent monitoring and surveillance. The 360 degree SODAR that combines SONAR and RADAR is used for monitoring by using ultrasonic pulses to detect vessels. A wireless camera on board provides visuals for a more efficient surveillance and through wireless transmission networking real time imaging is achieved using Ground Control System (GCS). It permits the operator at the onshore station to control the (USV) and analyze its capabilities. The GPS system is incorporated to navigate the vehicle without human assistance. This paper aims to provide an affordable and efficient autonomous monitoring of the coastlines. © IAEME Publication.


Prabhu T.,Rathinam Technical Campus
International Journal of Mechanical Engineering and Technology | Year: 2016

3D printing is called as additive manufacturing technology where a three dimensional object is created by laying down successive layers of material. It is also known as rapid prototyping, is a mechanized method whereby 3D objects are quickly made on a reasonably sized machine connected to a computer containing blueprints for the object. It is working under the principle of Fused Deposition Modelling (FDM). The 3D printing concept of custom manufacturing is exciting to nearly everyone. The basic principles include materials cartridges, flexibility of output, and translation of code into a visible pattern.3D Printers are the machines that produce physical 3D models from digital data by printing layer by layer. It can make physical models of objects either designed with a CAD program or scanned with a 3D Scanner. Here we are going to propose a model report on design and fabrication of a 3D printer. © IAEME Publication.


Murugan M.,Rathinam Technical Campus | Selladurai V.,Coimbatore Institute of Technology
Journal of Engineering Research | Year: 2014

In any organization goods and services are produced for the satisfaction of human needs. Basic inputs of the production process are men, machines, material, plant, services and methods and the outputs are goods and services. All organizations are undergoing the process of production but only a few organizations are concentrating in productivity improvements. This will either reduce the cost involved in it as well as increase the profitability of the organization. In the present trend most of the organizations are reducing their prices to gain competitive advantage by reducing their quality inputs, but this practice will not hold good for long run, so in order to study on productivity improvements will raise the output with marginal or no increase in the input. This can be achieved by optimizing the resources and not on compromising the quality inputs. The major purpose of this analysis is to systematically find out the ability of an employee or any other resources in performing this task. Actual performance can be compared to pre-determined goals and standards for getting the results. Lean manufacturing is a manufacturing process that productively adds value to materials by capturing proprietary production processes in manufacturing cells supplied by sole- source vendors. Lean manufacturing addresses material, administration, and labor costs including the costs of storing and handling materials within the factory. Hence the main aim of this paper is to reduce lead- Time, work in process inventory, free up floor space and to increase the production in the manufacturing of diffuser housing by implementing Lean Manufacturing System.


Pratheeban M.,Anna University | Balasubramanian S.,Rathinam Technical Campus
International Journal of Applied Engineering Research | Year: 2015

This paper introduces patent searching approach that should be accessible and valuable to researchers in information retrieval and different expert who looking for expand their knowledge of patent searching for their innovations. It gives an overview of the process of patent searching, including the different forms of patent searching. Our work focuses on major four searches implementation, namely Normal, Quick, IPC and Catche words. It goes on to describe the differences among different domains of patent search like computer, biological, biotechnology, chemicals, etc., List of abbreviations: International Patent Classification (IPC), World Intellectual Property Organization's (WIPO), Software Tool for Patent Mining (STPM), Information Retrieval (IR). © Research India Publications.


Gnanamuthu Prakash K.,Anna University | Balasubramanian S.,Rathinam Technical Campus
International Journal of Applied Engineering Research | Year: 2015

The main goal of this research is designing the extraction of the facial expression and detection. The Canny Edge Detection design has been proposed in order to improve the detection efficiency. The implementation suitability of the proposed design experiments, with the various computational intelligence techniques such as Region of Interest (ROI) portion identification and feature point identification mathematically for face detection. © Research India Publications.


Gnanamuthu Prakash K.,Anna University | Balasubramanian S.,Rathinam Technical Campus
International Journal of Applied Engineering Research | Year: 2014

This work explains the methodology of face detection from an image and its feature. Face is detected from an image with the assist of “Canny Method” i.e canny’s edge detection method. The Canny Edge Detector is one of the most commonly used image processing tools, detecting edges in a very robust manner. It is a multi-step process, which can be implemented on the GPU as a sequence of filters. A novel edge-detection algorithm is necessary to provide an errorless solution that is adaptable to the different noise levels of these images to help in identifying the valid image contents produced by noise. The expression analysis system is trying to recognize the normal facial expressions. The emotions are noted by the changes in facial features, hence Automatic Face Analysis (AFA) is developed, to analyse the change in the facial expressions with regard to the permanent facial feature. © Research India Publications.


Pratheeban M.,Anna University | Balasubramanian S.,Rathinam Technical Campus
International Journal of Applied Engineering Research | Year: 2016

Patent drawings are one of the most important documents in the patent used by the patentee for filing the patent. Patent drawings contain the components and working process of the entire patent. We propose a new technique for analyzing the patent drawings named patent image visualization. Our work focuses on the implementation and process of patent image visualization. © Research India Publications.


Satishkumar P.,Alagappa Chettiar College of Engineering And Technology | Dharmalingam S.,Anna University | Raja K.,Anna University | Lingadurai K.,Anna University | Padmanaban G.,Rathinam Technical Campus
International Journal of ChemTech Research | Year: 2015

Micro Electro chemical machining manufacturers and users are to achieve a better stability and high economical productivity of the manufacturing process is the main objectives of this investigation. This paper investigates the influence of the process parameters like machining voltage, electrolyte concentration, frequency on the over cut and Material Removal Rate (MRR). This paper discusses a methodology for the optimization of the machining parameters on drilling of Al 6061- 6% Gr Metal Matrix composites using Electrochemical Micro Machining (EMM). The taguchi L27 orthogonal array and analysis of variance are employed to study the influence of machining parameters such as machining voltage, Electrolyte concentration, Frequency on the over cut and Material Removal Rate (MRR). Based on the Taguchi analysis, optimum level of parameters is determined and the same to validate through the confirmation test. Experimental results are in close agreement with the developed model. It is observed that the machining performance can be effectively improved with respect to initial parametric setting. © 2014, Sphinx Knowledge House. All rights reserved.


Geetha Ramani R.,Anna University | Selvaraj S.,Rathinam Technical Campus
Studies in Informatics and Control | Year: 2014

Road accident analysis is very challenging task and investigating the dependencies between the attributes become complex because of many environmental and road related factors. An exhaustive research is being conducted to identify the optimal factors which influence fatal accidents. In this paper we propose a novel methodology called Voting Algorithm for Aggregated Feature Selection (VAAFS) which selects an optimal number of significant features with majority votes identified by more than one Feature Mining algorithms. The optimal features selected by VAAFS will be then extended to the classifiers over an Indian road accident data set obtained from the Coimbatore City Traffic Head Quarters, Tamilnadu, India and with international datasets obtained from Fatality Analysis Reporting System (FARS), USA, and the STATS19 data collection system, maintained by the of United Kingdom (UK) to model the accident severity. The output from VAAFS shows that type of vehicle, high risk road users like pedestrian and two wheelers, young road users, government holidays, selected week days, manner of collision, seating position etc. are most significant factors in modeling Accident Severity. The proposed method is highly successful in reducing misclassification error rate and to improve the predictive accuracy with optimal features than the previous studies. It seems very promising for observing road accident patterns.


Ramani G.,Anna University | Selvaraj S.,Rathinam Technical Campus
Asian Journal of Information Technology | Year: 2016

Road accident analysis is very challenging task and investigating the dependencies between the attributes become complex because of many environmental and road related factors. Use of feature selection algorithms such as feature ranking, Fisher's test, CFS etc which are using chi square test to find the statistical significance level of features is prevalent in data mining applications but it has been noted that such arbitrary usage may not be appropriate always. While analyzing the available data, sparse information may also be an issue wherein the study tends to use an option to probe the associations more rationally using Random Effect Model (REM). This approach could be much useful in understanding the rules of statistical significance that may be shadowed in other methods, especially chi square analysis. Results have shown the possible association together with amount of heterogeneity between the important variables involved in a data set related to road accidents that have occurred in Coimbatore, Tamil Nadu, India. Further, comprehensive analytical algorithms that are implemented in R have been provided to facilitate the approach for future replications. © Medwell Journals, 2016.

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