Migration is a complex process and involves many challenges like correct schema mapping, correct data transfer, indexing, and error fixing. The objective of data migration is to enhance the overall quality and usefulness of the data. Database migration is difficult to do manually, and numerous tools have been developed to simplify the complicated task. This paper outlines the existing data migration tools present in the market. We have classified the tools into two categories: 1. Academic research-based tools, 2. Industry-driven tools. Academic researchers developed and proposed Academic research-based tools, whereas Industry-driven tools are produced by many popular organizations like Google, Amazon, IBM, and Microsoft. Thus, this study aims to contribute to the state-of-the-art database migration field, an active area of research over the past decade. Additionally, it serves as a foundation for selecting and developing relational-to-NoSQL data migration tools. This paper proposes future research directions to facilitate the broader adoption of migration tools in Academia and Industry.

Key pre‐distribution in wireless sensor networks is an important area of research due to limited resource availability in sensor nodes. In this study, the authors propose a novel key pre‐distribution scheme for wireless sensor networks based on combinatorial design. The proposed scheme is used to assign secret keys to the sensor nodes so that they can securely communicate among themselves. It also aims to decrease the key storage overhead and improve the overall resiliency of the network. They use the ratio of links broken/affected and the ratio of nodes disconnected to measure the resiliency when some sensor nodes are compromised in the network. They observed that the proposed scheme reduces the key storage overhead in the network while maintaining the desired connectivity among all the sensor nodes. Further, the proposed scheme is more resilient than the majority of existing schemes present in the literature.

Communication is broadly defined as the process of interaction among human beings where they can share their thoughts and ideas to convey a message to each other. But people with hearing and speech impairment whose primary means of communication is sign language and hand gestures, find it difficult at times to interact with others who are not privy with this language thus resulting in a communication gap. The fact is sign language is fundamentally different from English or any other spoken language. There are different forms of gestures like hand gestures, which include one or two hands, facial expressions, body or other subtle movements. Also, hand gestures are of two different types: static and dynamic gestures. A static gesture refers to some hand pose and configuration, represented by a single image while a dynamic gesture refers to a moving gesture, represented by a sequence of images. Due to the complexity of dynamic gestures, most researches in this domain are focused either on static gestures/postures, or small sets of dynamic gestures. To this end, this paper aims at developing a Sign Language Recognition system which can interpret and translate dynamic sign languages to their equivalent texts, to help the hearing-impaired communicate with the hearing society conveniently, thereby diminishing the communication barrier.