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Padmashree, A.
- HDV Platooning with Minimized Communication Delay in VANET
Authors
1 Department of Computer Science and Engineering, KPR Institute of Engineering and Technology, Coimbatore, IN
2 Department of Computer Science and Engineering, KPR Institute of Engineering and Technology, Coimbatore, IN
Source
Wireless Communication, Vol 7, No 10 (2015), Pagination: 324-328Abstract
To improve the highway safety and throughput between vehicles in road traffic VANET are formed. Through CACC the inter vehicle communications are achieved to meet the control challenges in cooperative environment. Platoon management algorithms were formed to route the participating vehicles. This paper addresses the communication drawbacks between the vehicles in platoon. This paper proposes two topologies in CACC to minimize the communication delay. This paper proposes two topologies as One Vehicle Look – Ahead and Two Vehicle Look – Ahead with CACC. More than two vehicles are participating in the platoon and their string stability has been taken for performance evaluation. Performance analyses were made to five vehicles to identify the suitable one.
Keywords
Cooperative Adaptive Cruise Control, Platoon, String Stability, VANET, Wireless Communication.- An Improved Feature Extraction and Classification Using Neural Method for Accident Detection
Authors
1 Department of Computer Science and Engineering, KPR Institute of Engineering and Technology, Coimbatore, TamilNadu, IN
2 Department of Computer Science and Engineering, KPR Institute of Engineering and Technology, Coimbatore, TamilNadu, IN
Source
Digital Image Processing, Vol 8, No 3 (2016), Pagination: 74-78Abstract
In this paper, we put forward a method to detect the accident and report it to the close by “Emergency Service Provider”. This emergency provider then arranges for the necessary help. This is done by taking a real time video from a surveillance camera and then applying the following steps. First an input video is transformed into frames and then a preprocessing step is applied inorder to enhance the image. Features of the image are then extracted and this values are stored which is then given as input for the next step. This feature classification is done using Principle Component Analysis method(PCA). The next step feature classification is to train the system and provide the frame which consists of the image of the vehicle which has taken part in the accident. This stacked and extracted features is given as an input to neural network which is a method used for feature classification and then mail to the client. In future, haze eviction is done in the detected frame using guided filter and finally this frame is mailed to the emergency provider.
Keywords
Principle Component Analysis, Neural Network, Eviction, Guided Filter, Video Processing.- Physico-Chemical Characteristics and Mineral Content of Commercially Available Papads
Authors
1 Defence Food Research Laboratory, Mysore - 570 011, IN
Source
The Indian Journal of Nutrition and Dietetics, Vol 41, No 12 (2004), Pagination: 514-519Abstract
Papad, also known as appalam in South India, is a thin wafer like circular product based on dough prepared by blending legume (black gram, bengal gram, green gram, cow pea etc.) or cereal (rice) flours as well as fruit/vegetable based like potato, sweet potato, jack fruits etc. mixed with common salt, spices, edible oil and alkaline mucilaginous additives.- Composition of some Commercially Available Breads
Authors
1 Defence Food Research Laboratory, Mysore - 570 011, IN