1. BSNL- Road Ahead

Authors -  T. Lavanya Kumari

Abstract : Liberalization has brought many challenges for the Government of India enterprise in Telecom Sector i.e. Bharat Sanchar Nigam Limited (BSNL). BSNL known as Department of Telecommunications had been a near-monopoly during the socialist period of the Indian economy. During this period, BSNL was the only telecom service provider in the country. In spite of owning extensive and robust network across India and having leadership position in the telecom space till 2008, the present situation has become tough for state owned operator BSNL. Now BSNL is struggling to maintain the tempo and its foothold in the industry. Over a few past years the company’s position is being deteriorated. BSNL‟s market share in 16 out of 22 circles not by a significant margin due to poor performances over past two to three years. In August 2010, more than 2 lakh BSNL land line subscribers got their lines disconnected. While a good many mobile subscribers are also shifting to other service providers because of many reasons. The market has opened up for telecom services and every company is struggling to capture maximum share of the growing market. Different strategies are being formulated to ensure the growth in customer base. In this paper, we have carved out a comprehensive study pertaining Indian Telecom market and position of BSNL in the Indian Telecom sector.

Keywords : BSNL, Liberalization, Globalization

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Authors -  K. Thenmozhi, S. Udhaya,N. Vinothini, V. Nagaraju

Abstract : Wireless sensor networks (WSNs) are composed of hundreds or thousands of sensor nodes in order to detect and transmit information from its surrounding environment. The sensor nodes have limited computation capability, limited power and small memory size. In these networks, sensor nodes are dependent on low power batteries to provide their energy. As energy is a challenging issue in these networks, clustering models are used to overcome this problem. Hence, many metaheuristic algorithms have been developed over the last years. Many of these algorithms are inspired by various phenomena of nature. In this paper, a new population based algorithm, the Lion Optimization Algorithm (LOA), is introduced. Special lifestyle of lions and their cooperation characteristics has been the basic motivation for development of this optimization algorithm. Some benchmark problems are selected from the literature, and the solution of the proposed algorithm has been compared with those of some well-known and newest meta-heuristics for these problems. The obtained results confirm the high performance of the proposed algorithm in comparison to the other algorithms used in this paper.

Keywords : Wireless Sensor Network, Lion Optimization Algorithm (LOA), Metaheuristic.

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Authors -  S. Arun Kumar, T. M. Acchuthan, P. Shanmugaselvam

Abstract : In recent times, the traditional time consuming chalk and board class room teaching methodology are transformed into smart classroom teaching which involves digital devices such as laptops, projectors, speakers and more. These de- vices improve the interaction between teachers and students, but the cost is a major factor that still restricts most of the institutions to adopt digital technology. Also, the con- ventional attendance taking system requires involvement of teachers and be present at the laptop to navigate through the slides for which a significant amount of time is lost from the allotted time slot. The main objective of this paper is to design and implements a cost effective technology-aided system which enhances the quality of service teaching by effectively utilizes the teaching time. The proposed system consist of four modules smart projector with PowerPoint Presentations(PPT) upload and download feature, gesturebased PPT control, smart attendance system and Google voice assistance system. All these modules are implemented on a low cost single controller platform using Raspberry Pi. The smart projector module is aimed to substitute laptops with Raspberry Pi which will not only reduce the cost in- volved, but also will help achieving quality of service as the system will consume a smaller amount of power. The second module consists of ultrasonic sensor interfaced with Rasp- berry Pi to control the PPT displayed in projector using hand gesture action based on the distance. The third mod- ule is to automate the student attendance using biometric system. This system consists of Finger print sensor attached to the Raspberry Pi to record the student presence. The fourth module allows faculty to search the internet verbally without the need for typing the query in a web browser by adding the Google voice Assistant to the Raspberry Pi. By integrating these entire four modules in a single microcon- troller platform (Raspberry Pi) we may reduce the cost and improve the quality of service in an effective way.

Keywords : Raspberry Pi, Finger- print sensor, ultrasonic sensor,  attendance system, Google voice assistant.

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Authors -  M.Pavithra Nagajothi, S.Ayyappan

Abstract : Biometrics is the science and machinery of measuring and analyzing biological data of human carcass. It extracts a feature set from the acquired data, and comparing with template set in the database. In this paper we have introduced a new concept for face & fingerprint recognition by means of K-Nearest Neighbor algorithm and feed forward back propagation method by using their approach it improves the accuracy gives better performance and more reliable in terms of security and integrity of the biometric data. This approach is developed by coming ridge based & Eigen face approach. The main of their research work is to reduce the false accept rate (FAR), false reject  rate (FRR) and false enroll rate (FER). After executing their loom we have compared the result of unimodal biometric system & multimodal biometric system. From the effect we observed that unimodal system has many disadvantages in terms performance and accuracy. Whereas multimodal biometric system performs for better them unimodal biometric system.

Keywords : Biometric Identification, Biometric Testing, Biometric Adaptive principal component analysis, K-NN algorithm, Biometrics, Feature extraction, Multilayer perception.

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