Informatics Publishing Limited

V. Gomathy ¹, S. Sheeba Rani ¹

Affiliations
1 Department of EEE, Sri Krishna College of Engineering and Technology, Coimbatore, IN

Abstract

Intelligent Transport system incorporates Vehicle to Vehicle Communication system as a network that connects vehicles in the road. The main aim of this system is to reduce the number of accidents on road. In the V2V system, a mesh network is created using Zig bee module, Bluetooth, USB to UART, Display and senses the basic information from the first vehicle and thus giving it to the Zig bee controller. The Zig bee enables the Bluetooth module to transmit the information to any other vehicle coming into the critical radius. In the adjacent vehicle, it is facilitated with Bluetooth module to receive the signal from the primary vehicle. This Bluetooth module, in turn, gives the signal to the Zig bee controller and then to the display so that the driver can be alert to the adjacent vehicles. This also includes the vehicle for infrastructure communication. As like V2V, the V2I system also has the onboard unit having Zig bee and Bluetooth which gives signals to the nearby vehicles.

Keywords

Vehicle, Zigbee, Bluetooth, USB to UART, Infrastructure, Accidents.

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K. Sujatha ¹, S. Bala Krishnan ², S. Sheeba Rani ³, M. K. Bhuvana ⁴

Affiliations
1 Department of Computer Science and Engineering, Sri Krishna College of Engineering and Technology, Coimbatore – 641008, Tamil Nadu,, IN
2 Department of Information Technology, Sri Krishna College of Engineering and Technology, Coimbatore – 641008, Tamil Nadu, IN
3 Department of Electrical and Electronics Engineering, Sri Krishna College of Engineering and Technology,Coimbatore – 641008, Tamil Nadu, IN
4 Sri Krishna College of Engineering and Technology, Coimbatore – 641008, Tamil Nadu, IN

Abstract

Objective: In order to prevent the theft of authentication of the keywords and to preserve the biometric authentication a method is derived to secure the pattern. Methods/Statistical analysis: An efficient identification and authentication methods are implemented by using the dorsal vein recognition system which is very popular among the researchers of the world. By identifying the unique pattern of the hand vein, the features are extracted from the images and pattern is framed and dimension reduction is based on the system application. Application: This simple model can be used in reduction of dimensionality and the noise can be removed from the biometric pattern which helps to have high security. Findings: This paper contributes on image acquisition, preprocessing techniques, feature extraction in hand vein authentication system.

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S. Balakrishnan ¹, J. Janet ¹, K. Sujatha ², S. Sheeba Rani ³

Affiliations
1 Department of Information Technology, Sri Krishna College of Engineering and Technology, Coimbatore – 641008, Tamil Nadu, IN
2 Department of Computer Science and Engineering, Sri Krishna College of Engineering and Technology, Coimbatore – 641008, Tamil Nadu, IN
3 Department of Electrical and Electronics Engineering, Sri Krishna College of Engineering and Technology, Coimbatore – 641008, Tamil Nadu, IN

Abstract

Objectives: To make a fully automated algorithm that is based on simple and quick steps, which produces consistent output for the same inputs. Methods/Statistical Analysis: For thorax and lung segmentation, region growing based method is used to segment the region of interest. The missing parts of the lungs are reconstructed using morphological operations. After that, nodules are detected based on the features of the reconstructed image. Artificial Neural Network has been used for classifying the images. Findings: An aggregate of 100 pictures with determination of 512 × 512 pixels with eight bits for every shading channel are caught. 90% affectability was obtained with 0.05 false positives for each picture. Application/Improvements: This framework distinguishes the phase of lung malignancy. The outcomes demonstrate that the tumors are of various measurements. By estimating the measurements of the tumor the lung disease stage can be recognized precisely utilizing the proposed technique. The outcomes indicate great potential for lung growth identification at beginning time.

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S. Sheeba Rani ¹, J. Janet ², S. Balakrishnan ², K. Sujatha ³

Affiliations
1 Department of Electrical and Electronics Engineering, Sri Krishna College of Engineering and Technology, Coimbatore – 641008, Tamil Nadu, IN
2 Department of Information Technology, Sri Krishna College of Engineering and Technology, Coimbatore – 641008, Tamil Nadu, IN
3 Department of Computer Science and Engineering, Sri Krishna College of Engineering and Technology, Coimbatore – 641008, Tamil Nadu, IN

Abstract

Objectives: To model a novel ceaseless client validation method to authorize the client regardless of their body position before the capturing system. The system ceaselessly validates the client with their various soft anthropometric parameters such as (e.g. wearables and skin) in addition to hard biometrics. Methods/Statistical Analysis: The proposed system mechanically stores in the soft anthropometric parameters each time the client logs in and integrate the anthropometric parametric features along with the conventional face traits for verification thus fusing the combination of hard and soft biometric attributes to attest a client ceaselessly. The methodology comprises of various modes such as initialization, validation and regeneration. Findings: Various samples of facial colour features and user’s cloth colour features are used as soft biometrics in this system for authorization. The experimental results of AR show the extensive improvement over the existing methods. Application/Improvements: This methodology eliminates the challenges faced in face recognition due to different expressions and postures, lighting effects. Thus the key discriminating features are authenticated using hard and soft biometrics thus making it a high secure technology.

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