Indian Institute of Management Calcutta

About: Indian Institute of Management Calcutta is a education organization based out in Kolkata, India. It is known for research contribution in the topics: Supply chain & Context (language use). The organization has 415 authors who have published 1354 publications receiving 21725 citations. The organization is also known as: IIMC & IIM Calcutta.

Asymmetric Penalized Prediction Using Adaptive Sampling Procedures

Abstract: Prediction using a multiple-regression model is addressed when the penalties for overpredicting and underpredicting the true future value are not equal. Such asymmetric penalty functions are appropriate in many practical situations. If one imposes some preassigned precision on the prediction procedure, it is shown that in the presence of nuisance parameters in the model, the sample size needed to achieve the fixed precision is unknown. Some adaptive multistage sampling techniques are discussed that offer solutions to this problem. A prediction procedure based on a purely sequential sampling scheme is introduced, followed by a batch sequential scheme. Finally, a real-life example is provided to illustrate the use of these procedures, and computational evidence is supplied to demonstrate the efficiency of the latter procedure compared to the former one.

Nuclear energy law and decision-making in India

Abstract: Nuclear energy as a safe source of energy has been a subject of constant debate. The benefits of nuclear energy for power production and its allied applications on the one side and the risks posed ...

Pervasive Computing: A Vision to Realize

Abstract: Pervasive Computing (PerCom) is “omni-computing.” It is “all-pervasive” by combining open ubiquitous applications with everyday activities. In the vision of PerCom, the environment is saturated with a host of computing and communication capabilities which are gracefully integrated with daily life so that user will be able to interact with a smart environment from everywhere using a seemingly invisible infrastructure of various wireline and/or wireless networks and communication/computing devices. Beginning with a sketch of the evolutionary path for this new paradigm of computing, the chapter discusses its functional properties, especially the engineering of its major components, and their interactions. This helps us identify the existing protocols and middlewares that have already shown the required potential to fit into this model and suggest requirements that they must meet to turn PerCom into a “technology that disappears.” For the ease in understanding, it is argued that PerCom is about four things: pervasive devices, pervasive applications (PerApp), pervasive middlewares (PerWare), and pervasive networks (PerNet). First, it concerns the way people view mobile/static computing and/or communication devices, and use them within their environments to perform tasks. Second, it concerns the way applications are automatically created and deployed to enable such tasks to be performed. Third, it concerns the intelligent environment, which comprises interface between the applications and the network. Fourth, it concerns the underlying network that supports ubiquity and pervasiveness. A novel concept of using organic living entities as sensor nodes at the bottom layer of PerNet opens up a potential way to blend the physical world with the computing world. Later part of the chapter specifies the high level principles and structures that will guide this blending. Finally, it concludes with an overview of current research initiatives on PerCom, highlighting some common requirements for the intelligent environment that PerCom demands.

Vagabonds at the Margins: Acculturation, Subalterns, and Competing Worth:

Abstract: This study examines the cultural experiences of subaltern migrants from Kerala, India to the Middle East. It draws upon the French pragmatic sociology with attention to convention theory to cast in...

A Markov-Based Model for Information Security Risk Assessment in Healthcare MANETs

Abstract: Information security breaches are of major concern for healthcare mobile ad-hoc networks (h-MANETs). In this paper, we propose a model that identifies and assesses risk in an h-MANET deployed by a healthcare institution in a disaster-prone region a priori by modeling the possible routes a hacker might follow to compromise a target. Our model proposes a novel method to compute the transition probability of each hop in the h-MANET. Next, it employs Markov theory to compute the maximum and minimum number of hops required to compromise the target for a given source-target pair. It then determines the vulnerability for all the paths comprising minimum to maximum hops only for each pair by computing their overall transition probability. Finally, our model computes the risk associated with each of these paths. Based on the calculated risk level of each path, the management can recommend an appropriate risk mitigation strategy.