Institute of Electrical and Electronics Engineers1 Q-bit refers to the smallest unit of information in quantum computing. In green computing, it generally refers to energy-oriented communication links 2 Q-bit individual refers to a set of Q-bits representing a possible solution of a problem in quantum computing. Here, it is an energy-oriented forwarding path 3 Rotation angle refers to the magnitude of solution convergence towards optimal solution in quantum computing. Here, it is the energy difference between paths
Home automation system, is designed to assist and provide support in order to fulfil the needs of elderly and disabled people at home. It has been designed for mobile phones having android platform,to automate Bluetooth interfaced microcontroller which controls home appliances like lights, fans. It presents the automated approach of controlling the devices in a household that could ease the task of using the traditional method of the switch. The most famous and efficient technology for short range wireless communication-Bluetooth,is used here to automate the system has been around for more than a decade. In this project, a voice controlled wireless smart home system has been presented for elderly and disabled people. The proposed system consists of two components namely (1)voice recognition system, (2) wireless system. Android application has been used for voice recognition system. On the other hand, Bluetooth wireless modules have been used to implement the wireless system.
DNA fragment assembly (DFA) is one of the most important and challenging problems in computational biology. DFA problem involves reconstruction of target DNA from several hundred (or thousands) of sequenced fragments by identifying the proper orientation and order of fragments. DFA problem is proved to be a NP-Hard combinatorial optimization problem. Metaheuristic techniques have the capability to handle large search spaces and therefore are well suited to deal with such problems. In this chapter, quantum-inspired genetic algorithm-based DNA fragment assembly (QGFA) approach has been proposed to perform the de novo assembly of DNA fragments using overlap-layout-consensus approach. To assess the efficacy of QGFA, it has been compared genetic algorithm, particle swarm optimization, and ant colony optimization-based metaheuristic approaches for solving DFA problem. Experimental results show that QGFA performs comparatively better (in terms of overlap score obtained and number of contigs produced) than other approaches considered herein.
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