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Gwalior, India

Agariya A.K.,BITS | Singh D.,ABV IIITM
Journal of Health Management | Year: 2013

The aim of this paper is to develop a reliable and valid CRM (Customer relationship management) scale specifically catering to Indian public hospitals. An exhaustive review of literature on CRM was followed by depth interview and questionnaire survey. Exploratory factor analysis was followed by confirmatory factor analysis which was presented in three forms; the single factor model, covariance model and the structural model. The covariance model shows CRM in Indian public hospitals as a multidimensional construct comprising of factors namely tangibles, service quality, trust, availability and accessibility which is validated through the structural model. The findings of this study validate the long held belief that CRM is a multidimensional construct and serves as a critical success factor for performance enhancement. The proposed scale will help in identifying issues that contribute to CRM in Indian public hospitals and thereby formulating strategies accordingly, resulting in efficient (cost) and effective (outcomes) CRM practices. A fair amount of literature on Indian public hospitals dealt with identifying factors explaining the constructs of quality, value or satisfaction. But there is paucity of research pertaining to industry-specific CRM scale development and validation. This study is an attempt to bridge this gap in the existing literature. © 2013 Indian Institute of Health Management Research. Source


Prakash A.,Indian Institute of Technology Delhi | Deshmukh S.G.,ABV IIITM | Deshmukh S.G.,Indian Institute of Technology Delhi
International Journal of Industrial and Systems Engineering | Year: 2011

In this paper, an artificial immune system-(AIS-) based fuzzy expert system is developed for a flexible manufacturing system (FMS) to make the real-time decision in the randomly changing marketing and production environments. In FMS context, any direct mathematical relationship between system attributes and performance measures and their effect on controlling policy is not available. The novelty of the paper is that it makes a unique attempt to map an abstract relationship of system attributes with various performance measures. It also provides the estimation of the change required in the self-configured control policy of an FMS. The evolutionary algorithm AIS is used for searching the suboptimal rule base. The efficacy of the proposed system has been shown by an illustrative example. © 2011 Inderscience Enterprises Ltd. Source


Pandey S.N.,Indian Institute of Information Technology and Management Gwalior | Pandey N.K.,IPS CTM Gwalior | Tapaswi S.,ABV IIITM | Srivastava L.,Madhav Institute of Technology and Science
IEEE Transactions on Power Systems | Year: 2010

In the competitive electric power market allowing open access transmission environment, the knowledge of available transfer capability (ATC) is very important for optimum utilization of existing transmission facility. ATC information conveys how much power can be transmitted through the power network over and above already committed usage without violation of system security limits. This paper presents a Levenberg-Marquardt algorithm neural network (LMANN)-based approach for fast and accurate estimation of system ATC. System ATC has been estimated for both varying load condition as well as for single line outage contingency condition by employing distributed computing. Principal component analysis (PCA) has been applied for effective input feature selection. Contingency clusters are formed such that each cluster contains almost similar ATC values. For each contingency clusters separate LMANNs have been developed. All the proposed LMANNs have been trained and tested under distributed computing environment and a considerable speed up in the training is obtained. The proposed approach has been examined on 75-bus Indian power system and IEEE 300-bus system and found significantly efficient. © 2010 IEEE. Source


Khatri P.,ITM | Tapaswi S.,ABV IIITM
Computer Systems Science and Engineering | Year: 2014

Intelligence can be added to machines by exploiting fuzzy systems. This paper presents a scheme for developing trust among the nodes of an ad-hoc network using a fuzzy system. Ad-hoc networks are infrastructure-less, self-organizing networks, in which the nodes are completely hooked into themselves for taking any call as there is no Central Authority (CA). Trust evaluation using a fuzzy system helps in making routing decisions for secure information transmission. In the planned approach, the fuzzy system is incorporated using MATLAB and increases the performance of the whole network. In this work, the trust-based Dynamic Source Routing (DSR) protocol has been tested on Network Simulator-2 (NS-2), and the results show an enhanced reduction in the packets dropped by the nodes in the network. © 2012 Pallavi Khatri et al. Source


Bansal L.K.,Its Engineering College | Trivedi A.,ABV IIITM
Wireless Personal Communications | Year: 2014

In this paper, performance of reduced state space-time trellis coded multi carrier code division multiple access (STTC-MC-CDMA) system is evaluated and compared with the performance of original state STTC-MC-CDMA system. The optimum decoding scheme, i.e.; maximum likelihood sequence estimation is employed which uses Viterbi algorithm for decoding STTC code. To simplify the implementation of the STTC decoder, the number of states is reduced by reducing the constraint length of the STTC encoder using generating function technique. In this technique, the generator matrix of STTC code is minimized to reduce the number of states of S-T trellis decoder. It is observed that the performance loss in terms of frame error rate of the reduced state STTC-MC-CDMA system is negligible compared to the original state STTC-MC-CDMA system. It is also noted that by using the reduced state technique the STTC decoder can be made faster since it is having lower computational complexity. © 2013 Springer Science+Business Media New York. Source

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