Informatics Publishing Limited

P. Rajeshwari ¹, S. Padmavathi ¹, A. Naveenkumar ¹

Affiliations
1 Angel College of Engineering and Technology, Tripur, IN

Abstract

Vehicular Ad Hoc Networks is a kind of special wireless ad hoc network, which has the characteristics of high node mobility and fast topology changes. The Vehicular Networks can provide wide variety of services, ranges from safety and crash avoidance to internet access and multimedia applications. Attacking and misusing such network could cause destructive consequences. It is therefore necessary to integrate security requirements into the design of VANETs and defend VANET systems against misbehaviour, in order to ensure correct and smooth operations of the network. In this paper, we propose a security system for VANETs to achieve privacy desired by vehicles and traceability required by law enforcement authorities, in addition to satisfying fundamental security requirements including authentication, nonrepudiation, message integrity, and confidentiality. Moreover, we propose a privacy-preserving defense technique for network authorities to handle misbehaviour in VANET access, considering the challenge that privacy provides avenue for misbehaviour. The proposed system employs an identity based cryptosystem where certificates are not needed for authentication. We show the fulfilment and feasibility of our system with respect to the security goals and efficiency.

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S. Padmavathi ¹, C. R. Naveen ¹, V. Ahalya Kumari ¹

Affiliations
1 Computer Science, Amrita University, Coimbatore - 641112, Tamil Nadu, IN

Abstract

Background/Objectives: To create an automated system that controls the traffic signals effectively based on the instantaneous calculation of traffic congestion during the given time using image processing techniques. Methods/ Statistical Analysis: Vision based Congestion analysis is done based on the vehicles counted from the camera fixed on the signal post. In this paper, the vehicles are detected based on head lights and counted as two wheelers or four wheelers. The congestion is categorized into light, medium and heavy based on this count. Findings: The headlights are separated from the illuminated bright spots by considering its circular and elliptical nature. The accuracy of identifying four wheelers depend on the pairing of the head lights. The existing pairing algorithm fails when one head light is hidden by other vehicles. In this paper, a simple pairing algorithm based on the spatial adjacency is experimented. This had less accuracy due to pairing of two wheeler head lights with that of four wheelers. The problem is alleviated by considering a varying scale factor proportional to the perspective projection of the vehicles in the line of sight. The accuracy of counting increased to 98%, where the drop is due to non-elliptical blobs of head lights that were not detected. Improvements: To guarantee the robust performance of the system, particularly the accuracy and the real-time processing speed. Limitation: The presence of fog lights in modern 4 wheelers are detected as separate cars which reduces the accuracy. The area of improvement will be to consider them as fog lights of the same car and not to mark them as a separate 4 wheelers.

Keywords

Head Light Pairing Algorithm, Night Time Traffic Analysis, Traffic Congestion Analysis, Vehicle Counting, Vehicle Detection, Vision based Traffic Analysis.

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Shiny Mariam Rehel , S. Padmavathi

Abstract

Kotagiri is one of the important honey producing zones in the Nilgiris (Anonymous, 2001). Honey collection from Apis dorsata hives is an income generation activity for the honey hunters of this region. The present work involves analysis of Apis dorsata honey from the forest of Kotagiri slopes in the Nilgiris with a view to know the pollen and nectar sources for the bees. As part of the investigation, 18 honey samples were collected from the honey hunters during the honey harvest season in June-July, 2011. The samples were acetolysed. A total of 10 pollen types were present in the honey sample studied. The present study indicates the importance of Syzygium cuminii and Pterolobium hexapetalum as a major source of forage to the bees. Efforts to enhance the cultivation of these species can be suggested. Syzygium cumini yield edible fruits and also help in the development of bee keeping and forest honey production in the region.

 

Keywords

Kotagiri, Apis dorata , Kotagiri, pollen, species cultivation

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S. Padmavathi ¹, B. Subbulakshmi ¹

Affiliations
1 Department of CSE, Thiagarajar College of Engineering, Madurai, IN

Abstract

To refrain from the constant crisis on lack on competent engineer's, it is vital for the educators to evolve a tailor-made Educational Model that custom suits the aspirants and help attainment of Programme Educational Objective. Clear alignment begins with Identifying what a student will be able to do, Planning & Organizing the curriculum delivery, and Strategies towards Teaching- Learning&Assessment ensuring realization of intended skills. The basic principles that facilitate and drive the above starts with clear definition on intended learning outcomes guided with set performance standard towards engaging deep learning and strive for expanding opportunities. Custom-designed educational model is essential for creation of learning atmosphere that supports appropriate learning activities to attain the desired learning outcomes. By effectively identifying the learning outcome for each topic in a course with proper implementation help us to achieve Course outcome (CO) of a course. This paper is a micro level initiative towards the achievement of COs and thereby visualizing the learning skill as well as the cognitive skill of a student through each and every topic taught in the course. The proposed approach was practiced in third semester B.E (CSE) for Data Structures and Algorithm Course. The effectiveness of the above model is implemented and measured using standard tools.

Keywords

Effective Teaching, Interactive Classroom Practices, Learner Centric Approaches, Intended Learning Outcome.

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