Birla Institute of Technology and Science

About: Birla Institute of Technology and Science is a education organization based out in Pilāni, Rajasthan, India. It is known for research contribution in the topics: Computer science & Population. The organization has 8897 authors who have published 13947 publications receiving 170008 citations.

Quantum coherence and sensitivity of avian magnetoreception.

Abstract: Migratory birds and other species have the ability to navigate by sensing the geomagnetic field. Recent experiments indicate that the essential process in the navigation takes place in the bird’s eye and uses chemical reaction involving molecular ions with unpaired electron spins (radical pair). Sensing is achieved via geomagnetic-dependent dynamics of the spins of the unpaired electrons. Here we utilize the results of two behavioral experiments conducted on European robins to argue that the average lifetime of the radical pair is of the order of a microsecond and therefore agrees with experimental estimations of this parameter for cryptochrome—a pigment believed to form the radical pairs. We also find a reasonable parameter regime where the sensitivity of the avian compass is enhanced by environmental noise, showing that long coherence time is not required for navigation and may even spoil it.

DAGIoV: A Framework for Vehicle to Vehicle Communication Using Directed Acyclic Graph and Game Theory

Abstract: Data sharing and content offloading among vehicles is an imperative part of the Internet of Vehicles (IoV). A peer-to-peer connection among vehicles in a distributed manner is a highly promising solution for fast communication among vehicles. To ensure security and data tracking, existing studies use blockchain as a solution. The Blockchain-enabled Internet of Vehicles (BIoV) requires high computation power for the miners to mine the blocks and let the chain grow. Over and above, the blockchain consensus is probabilistic and the block generated today can be eventually declared as a fork and can be pruned from the chain. This reduces the overall efficiency of the protocol because the correct work done initially is eventually not used if it becomes a fork. To address these challenges, in this paper, we propose a Directed Acyclic Graph enabled IoV (DAGIoV) framework. We make use of a tangle data structure where each node acts as a miner and eventually the network achieves consensus among the nodes. A game-theoretic approach is used to model the interactions between the vehicles providing and consuming offloading services. The proposed model is proven to be highly scalable and well suited for microtransactions or frequent data transfer among the nodes in the vehicular network.

The role of emotional intelligence and self-efficacy on social entrepreneurial attitudes and social entrepreneurial intentions

Abstract: The present study aims at identifying the social entrepreneurial intention among undergraduate students in Indian context by using the theory of planned behaviour as the research framework. A 50-item questionnaire was responded by 230 students who are enrolled in the universities in India. The data were collected by employing a systematic random sampling method. In total, 72% (N = 166) of the respondents were male and 31% (N = 64) were female and the average age of the respondents was 20 years. The questions measured emotional intelligence, self-efficacy, attitude towards becoming a social entrepreneur and social entrepreneurial intentions. The result shows that the proposed model in the present study explains 42% of the variance, explaining the social entrepreneurship intention. Both Emotional intelligence and self-efficacy showed the positive significant relationship with both attitude and social entrepreneurial intentions.