Backscatter communication has recently emerged as a promising technology to enable the passive sensing-based Internet-of-things (IoT) applications. In a backscatter communication network, uplink transmissions of multiple nodes are usually multiplexed in time-or frequency-domain to avoid collisions, yet it is desirable to improve the uplink capacity further. In this paper, we study a wireless-powered backscatter communication system, where the sensors use a hybrid channel access scheme by combining time division multiplexing access (TDMA) with power-domain non-orthogonal multiple access (PD-NOMA) to enhance the system performance in terms of outage probability and throughput. Our analysis shows that the proposed PD-NOMA increases both the spectrum efficiency and the throughput of the system.

This article proposes the forward only counter propagation network (FOCPN) for solving the contraceptive medical classification task. Contraceptive method choice (CMC) application is used for the medical classification and it is one of the challenging jobs in the field of the medicine. The experiments are performed on different radii of the neighbourhood and learning rate based on the size of the map. Experimental results show that FOCPN's convergence is faster and it gives the improved learning efficiency and reliable prediction performance. Also, the classification accuracy is much higher than the other models used for this purpose.

Abstract-This paper presents the recognition of off line handwritten English characters using the forward only Counter Propagation network (CPN) algorithm Upper case English alphabets are used in this paper. In the recognition process different people's writing style are gathered. The obtained results in this paper show the effect of the learning rate and recognition accuracy of the CPN neural network. The algorithm is tested and the recognition rate obtained was over 90%.It shows that proposed algorithm results are reasonable and acceptable for the hand written character recognition application.

SRS is the agreement between the client and the developer, it is a document which specifies the client's requirement and also validates the final product. In various surveys it was found that approximately 20-25% of the project time is allocated for the requirements definition and major part of its time is wasted in making the requirement specification unambiguous, to avoid the conflict in future. Conflict arises because of more than one interpretation of a requirement, this lead to misinterpretation of design constraints, functionality, and external interfaces or in any further enhancements. In our proposed system requirements are documented in natural language. The system checks whether the written requirements are valid requirements or not and also checks for the lexical type of ambiguities, especially the ambiguity related to homonyms, heteronyms and homographs.

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