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.

Central limit theorems for four new types of U-designs

Abstract: Orthogonal array (OA)-based Latin hypercube designs, also called U-designs, have been popularly adopted in designing a computer experiment. Nested U-designs, sliced U-designs, strong OA-based U-designs and correlation controlled U-designs are four types of extensions of U-designs for different applications in computer experiments. Their elaborate multi-layer structure or multi-dimensional uniformity, which makes them desirable for different applications, brings difficulty in analysing the related statistical properties. In this paper, we derive central limit theorems for these four types of designs by introducing a newly constructed discrete function. It is shown that the means of the four samples generated from these four types of designs asymptotically follow the same normal distribution. These results are useful in assessing the confidence intervals of the gross mean. Two examples are presented to illustrate the closeness of the simulated density plots to the corresponding normal distributions.

Impact of lifestyle diseases on income and household consumption: evidence from an emerging economy.

Abstract: With increase in lifestyle diseases such as diabetes, hypertension and heart disease in emerging economies, it is important to understand the impact of acquiring these health issues on household income and consumption. Using a panel data of Indian households, we show that acquiring diabetes, hypertension or heart disease results in increased medical and non-medical expenses for high-income households. However, affected low-income households, to meet their increased medical expenses, had to divert resources from non-medical expenses. Our findings add to the extant marketing literature on impact of crises on consumption behaviour and the marketing implications of such changes in consumption behaviour.

Routing-aware placement technique for intelligent collision avoidance in digital microfluidic biochips

Abstract: The current advancement in microfluidics and microfabrication technology makes it possible to realize true multifunctional lab-on-chip systems that can replace a real life laboratory system with a miniaturized microsystem. The huge advantages of such systems are that they enable fast, easy-to-use, cost-effective detection methods which find major application in the areas of clinical diagnostics, DNA sequencing, drug discovery and other biochemical analyses and applications. As the design of droplet based microfluidic biochips tends to incorporate concurrent execution of multiple bioassays in a single chip, the design complexity as well as system integration issues begin to pose major challenges. A potential CAD problem in this context is the concurrent routing of droplets in DMFBs. This has direct impact on overall reaction time as well as cell usage and pin requirements (specifically in direct-addressing biochips). In this paper we propose a routing-aware placement algorithm for droplets in a digital microfluidic system with a given prescheduled module arrangement. The objective is to enhance the routing process by intelligent collision avoidance, optimized stalling and detour, which finally results in stark improvement in latest arrival time and resource utilization. The proposed algorithm is tested on benchmark suite I for 2-pin droplets and Benchmark suite III for multipin droplets. The results obtained are quite encouraging.

A cost-efficient algorithm for finding connected dominating sets in static wireless ad hoc networks with obstacles

Abstract: We present a cost-efficient algorithm for spine identification in networks with obstacles with a view for finding connected dominating sets in static wireless ad hoc networks with obstacles (eg, a sensor network in a disaster site)

Hop-Efficient and Power-Optimized Routing Strategy in a Decentralized Mesh Network Using Directional Antenna

Abstract: This paper addresses a new routing strategy keeping the power of each node as an important constraint for routing in a fully decentralized mesh networks utilizing the additional advantages of a directional antenna. Unlike the most widely used principles in routing this strategy doesn't always focus on minimizing the number of hops but also ensures that the battery power of each node is utilized optimally as well. In this proposed strategy if the node has depleted its power then alternate paths would be calculated for routing, selecting the nodes such that it is hop-efficient and power-optimized. This strategy also ensures a perfect load balancing or load sharing among the network. Using directional antenna ensures that its range extension capabilities coupled with the space division multiple access mechanism provide additional enhancements to the strategy. Moreover the power requirement of the directional antenna is also much less then its omni directional counterpart. We clearly illustrate and quantify the benefits of the proposed strategy and protocol scalability using simulations.