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Underwater wireless sensor network (UWSN) provides a promising solution for discovering the aqueous environment efficiently which operates under many important constraints. At one side, these environments are not sufficient in case of energy efficiency and reliability. So in our paper we propose to develop a reliable and energy efficient cluster-based architecture for UWSN. Here the nodes cluster themselves and forms a cluster head. Next by deploying the courier nodes in the network data is aggregated from the CH. They also enable an intercluster communication to forward the sensed data. This increases the lifetime and the delay is less with the reduced buffer overflow problem.

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A unit based scheduling technique is proposed to assess networks of the given project and find out the optimum schedule. The proposed approach uses an iterative method to execute unit expediting and the expedition is done to the desired amount for all activities along the critical path. The output of the proposed approach includes a distribution of the total cost of project, duration of project completion and it is mainly applicable where cost and duration are of major issues. A computer program has also been developed using the C programming language to support the efficiency of the logic applied in the algorithm. A civil construction scheduling has been solved illustrating the validity of the proposed algorithm. This algorithm can serve as an important tool for the project managers to run the projects speedily and successfully.

Abstract-As the time of Software frameworks builds, they tend to go amiss from their genuine configuration andengineering. It turns out to be increasingly hard to oversee and keep up such frameworks. The possibility of software clustering for figuring out and re-modularization is investigated. Grouping together software gives a programmed strategy to find abnormal state theoretical substances inside a framework. Past work on Software grouping has distinguished numerous zones where further examination is required. Grouping procedures have to be tuned to the kind of framework they are being connected to. In this paper numerous grouping calculation and the outcomes for Software Clustering than the already utilized calculations are surveyed. This paper additionally analyzes the conduct of relationship and separation measurements for paired elements.

Underwater wireless sensor network (UWSN) provides a promising solution for discovering the aqueous environment efficiently which operates under many important constraints. At one side, these environments are not sufficient in case of energy efficiency and reliability. So in our paper we propose to develop a reliable and energy efficient cluster-based architecture for UWSN. Here the nodes cluster themselves and forms a cluster head. Next by deploying the courier nodes in the network data is aggregated from the CH. They also enable an intercluster communication to forward the sensed data. This increases the lifetime and the delay is less with the reduced buffer overflow problem.

Dancing, music or any format of art has been a prominent thing from the past centuries. The many dynasties ruled the nation for centuries but every king encouraged the art one way or the other. The present day is just a minute part of the finest part of that era of art; the art of any form had been lost in the shadows to redeem the lost art we are going to use the latest technology like machine learning and artificial intelligence. The art lovers of the present age can seek the knowledge of lost art through this modern day technology. The retrieval of this art can only be done if there is a possibility to learn their language which helps in reading the old sculptures or the paintings on the walls of the ancient architecture. Now using the present day technology we are going to recoup that lost art through reading the walls of those structures where the art has been hidden for centuries. So at present we do not allow the art to continue to fall into shadow and extinguish later on, thus in this paper we present a DC-GAN model which has been created to inherit all the artistic skills of our ancestors by training from the key images of art designed as sculptures by our forefathers.