Institution
Indian Institute of Management Calcutta
Education•Kolkata, India•
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.
Papers published on a yearly basis
Papers
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TL;DR: It is shown that no best‐first limited‐memory search algorithm can be asymptotically optimal, and on trees not satisfying the conditions, IDA* can perform quite poorly.
Abstract: Since bestdfirst search algorithms such as A* require large amounts of memory, they sometimes cannot run to completion, even on problem instances of moderate size. This problem has led to the development of limiteddmemory search algorithms, of which the best known is IDA*. This paper presents the following results about IDA* and related algorithms:
1) The analysis of asymptotic optimality for IDA* in lR.E. Korf, Optimal path finding algorithms, in: Search in Artificial Intelligence, eds. L. Kanal and V. Kumar (SpringerdVerlag, 1988) pp. 200–222r is incorrect. There are trees satisfying the asymptotic optimality conditions given in lR.E. Korf, Optimal path finding algorithms, in: Search in Artificial Intelligence, eds. L. Kanal and V. Kumar (SpringerdVerlag, 1988) pp. 200–222r for which IDA* is not asymptotically optimal.
2) To correct the above problem, we state and prove necessary and sufficient conditions for asymptotic optimality of IDA* on trees. On trees not satisfying our conditions, we show that no bestdfirst limiteddmemory search algorithm can be asymptotically optimal.
3) On graphs, IDA* can perform quite poorly. In particular, there are graphs on which IDA* does \Omega(2^{2N}) node expansions where N is the number of nodes expanded by A*.
7 citations
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18 May 2012
TL;DR: Specific types of faults that may occur in cross referencing biochips are identified and techniques for detection and location of such faults are developed with the objective of optimum resource utilization and minimum consumption of time.
Abstract: In recent time's digital microfluidics have gained much attention as an emerging technology that provides automation in fluid handling within a miniaturized substrate. Compared to traditional bench-top procedures, microfluidic biochips offer the advantages of low sample and reagent consumption, less likelihood of error due to minimal human intervention, high throughput, and high sensitivity. With the increase in number of bioassays for concurrent operation to be mapped in a single digital microfluidic platform needs for design automation as well as testing and fault diagnosis techniques become highly relevant for better accuracy in results and efficiency in operation. In spite of individual and independent control of electrodes -a new droplet manipulation method based on a “cross-referencing” mode that uses “row” and “columns” to access electrodes has recently come into use. The cross referencing technology largely scales down the control pin number on chip, which not only brings down manufacturing cost but also enables larger number of bioassay integration on a single biochip platform. However, the cross-referencing scheme due to severe electrode interference and other defects can result in faulty operations which in turn cause erroneous results or complete malfunction of the device. In this paper we tried to identify specific types of faults that may occur in cross referencing biochips and developed techniques for detection and location of such faults with the objective of (i) optimum resource utilization and (ii) minimum consumption of time. Testing simulation has been carried out with different size of 2D grids and with different number of test droplets and the corresponding results are found to be encouraging.
7 citations
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TL;DR: In this paper, a total of 234 students from three faculties at both graduate and undergraduate levels were surveyed to examine their entrepreneurial inclination and also to examine the relationship between their demographic and social characteristics with entrepreneurial inclination.
Abstract: Most past studies on studentsʼ entrepreneurial intention tend to focus on the phenomenon in developed countries.There is limited research on entrepreneurial intention of university students from developing nations. This article intends to close this gap by providing some insights into students℉ entrepreneurial inclination in a developing country, Malaysia. A total of 234 students from three faculties at both graduate and undergraduate levels were surveyed to examine their entrepreneurial inclination and also to examine the relationship between their demographic and social characteristics with entrepreneurial inclination.The study found strong entrepreneurial inclination among the students. Significant difference was found between students studying part time and full time and their entrepreneurial inclination. Significant difference was also found between the type of program enrolled in and students℉ entrepreneurial inclination. Further analysis and other findings were reported and recommendation for future research are been put forth in this article.
7 citations
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7 citations
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TL;DR: In this paper, the authors examined performance of affiliated and unaffiliated firms separately across three industries in India and found that the impact of group affiliation is not uniform across industries and examined the relationship between business group diversification and firm performance across industries after controlling for certain variables that impact performance.
Abstract: :The superior performance of firms affiliated with business groups as compared to unaffiliated firms has not been clearly established in the literature. Previous studies examining the effect of business groups on firm performance have found varying results (Khanna and Palepu 2000a, 2000b; Chang and Hong 2002; Chu 2004). These findings are the results of analysis conducted at the aggregate level across all industries. This study examines performance of affiliated and unaffiliated firms separately across three industries in India. The results indicate that the impact of group affiliation is not uniform across industries. Further, the study examines the relationship between business group diversification and firm performance across industries after controlling for certain variables that impact performance. Findings indicate that the relationship is not unique across various industries.
7 citations
Authors
Showing all 426 results
Name | H-index | Papers | Citations |
---|---|---|---|
Russell W. Belk | 76 | 351 | 39909 |
Vishal Gupta | 47 | 387 | 9974 |
Sankaran Venkataraman | 32 | 75 | 19911 |
Subrata Mitra | 32 | 219 | 3332 |
Eiji Oki | 32 | 588 | 5995 |
Indranil Bose | 30 | 97 | 3629 |
Pradip K. Srimani | 30 | 268 | 2889 |
Rahul Mukerjee | 30 | 206 | 3507 |
Ruby Roy Dholakia | 29 | 102 | 5158 |
Per Skålén | 25 | 57 | 2763 |
Somprakash Bandyopadhyay | 23 | 111 | 1764 |
Debashis Saha | 22 | 181 | 2615 |
Haritha Saranga | 19 | 42 | 1523 |
Janat Shah | 19 | 52 | 1767 |
Rohit Varman | 18 | 46 | 1387 |