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Kumar P.,Indian Institute of Management Lucknow | Gupta S.,Indian Institute of Management Lucknow | Bhasker B.,Indian Institute of Management Lucknow
Decision Support Systems | Year: 2017

The emergence of multifarious complex networks has attracted researchers and practitioners from various disciplines. Discovering cohesive subgroups or communities in complex networks is essential to understand the dynamics of real-world systems. Researchers have made persistent efforts to investigate and infer community patterns in complex networks. However, real-world networks exhibit various characteristics wherein existing communities are not only disjoint but are also overlapping and nested. The existing literature on community detection consists of limited methods to discover co-occurring disjoint, overlapping and nested communities. In this work, we propose a novel rough set based algorithm capable of uncovering true community structure in networks, be it disjoint, overlapping or nested. Initial sets of granules are constructed using neighborhood connectivity around the nodes and represented as rough sets. Subsequently, we iteratively obtain the constrained connectedness upper approximation of these sets. To constrain the sets and merge them during each iteration, we utilize the concept of relative connectedness among the nodes. We illustrate the proposed algorithm on a toy network and evaluate it on fourteen real-world benchmark networks. Experimental results show that the proposed algorithm reveals more accurate communities and significantly outperforms state-of-the-art techniques. © 2017 Elsevier B.V.

Singh S.K.,Indian Institute of Management Lucknow
European Transport - Trasporti Europei | Year: 2012

Cities and towns play a vital role in promoting economic growth and prosperity. Although less than one-third of India's people live in cities and towns, these areas generate over two-third of the country's income and account for 90% of government revenues. In the coming years, as India becomes more and more urbanized, urban areas will play a critical role in sustaining high rates of economic growth. But, economic growth momentum can be sustained if and only if cities function efficiently - that their resources are used to maximize the cities' contribution to national income. City efficiency largely depends upon the effectiveness of its transport systems, that is, efficacy with which people and goods are moved throughout the city. Poor transport systems stifle economic growth and development, and the net effect may be a loss of competitiveness in both domestic as well as international markets. Although Indian cities have lower vehicle ownership rate, number of vehicles per capita, than their counterparts in developed countries, they suffer from worse congestion, delay, pollution, and accidents than cities in the industrialized world. This paper provides an overview of urban transport issues and challenges in India. Rather than covering every aspect of urban transportation, it primarily focuses on those areas that are important from policy point of view. The paper first reviews the trends of vehicular growth and availability of transport infrastructure in Indian cities. This is followed by a discussion on the nature and magnitude of urban transport problems such as congestion, pollution and road accidents. Building on this background, the paper proposes policy measures to improve urban transportation in India.

Gupta M.,Indian Institute of Management Lucknow
2012 IEEE Conference on Computational Intelligence for Financial Engineering and Economics, CIFEr 2012 - Proceedings | Year: 2012

In this paper, a methodology for solving a group decision making problem is developed. The method obtains preference relationships of the alternatives after incorporating the experts' opinions about the alternatives in pair wise in linguistically or fuzzily defined terms. The importance of experts' opinions in the final ranking of the alternatives is calculated through an agreement matrix. The concept of PROMETHEE is applied thereafter to rank the given set of alternatives in a fuzzy environment. © 2012 IEEE.

Maity M.,Indian Institute of Management Lucknow
International Journal of Technology and Human Interaction | Year: 2014

Understanding the nature of information quality in the context of consumer information search on a website is vital for Information Systems as well as for marketing managers who want to use their websites for strategic purposes. This study brings together the Information Systems (IS) Success Model and consumer information search literature to propose and test a comprehensive model investigating information quality, and extends the IS Success Model. Our model tests antecedents to and consequences of information quality of a website. Findings on data collected from 575 respondents reveal that perceived cost and self efficacy (among others) are significant antecedents to information quality. Findings also reveal that information quality significantly affects online WOM and trust, which has implications for managing users on social media as well as on websites. This study adds to the literature on IS and on consumer information search, and offers practical guidelines for managers. Copyright © 2014, IGI Global.

Pindoriya N.M.,Indian Institute of Technology Kanpur | Singh S.N.,Indian Institute of Technology Kanpur | Singh S.K.,Indian Institute of Management Lucknow
Applied Soft Computing Journal | Year: 2011

Operating reserve (OR) is a major portion of ancillary services (AS) in a competitive electricity market and need to be procured by independent system operator (ISO), to achieve a high degree of power system reliability and security, following the major generation and transmission contingencies. Several ISOs have adopted deterministic methods to assess the OR requirements, however, such methods do not explicitly consider the unforeseen load swings and the probability of equipment outages. This paper proposes an adaptive wavelet neural network (AWNN) based two-stage approach to forecast OR requirements for both day-ahead and hour-ahead AS market in the California ISO (CAISO) controlled grid. The AWNN is a new class of feed-forward neural network with continuous wavelet function as the hidden layer node's activation function. The forecasting results for winter and summer seasons of the year 2007 are presented and compared with those obtained by feed-forward multi-layer perceptron neural network (MLPNN). It is found that AWNN based proposed method outperforms the MLPNN model. © 2010 Elsevier B.V. All rights reserved.

Maity M.,Indian Institute of Management Lucknow | Dass M.,Texas Tech University
Decision Support Systems | Year: 2014

This study investigates the effect of media richness on consumer decision-making and channel choice, and grounds the investigation in media richness theory, task-media fit hypotheses and cognitive cost (behavioral decision theory). Findings from three experiments provide evidence that consumers prefer channels with medium (e.g., e-commerce) and high (e.g., in-store) media richness for carrying out complex decision-making tasks. Findings reveal that consumers are likely to undertake simple decision-making tasks on channels that incorporate low (e.g., m-commerce) levels of media richness. Findings also demonstrate that product type moderates the effect of media richness on perceived channel-task fit, post-purchase evaluation, and channel choice. These insights should prove helpful to managers in managing content across different channels. ©2014 Elsevier B.V. All rights reserved.

Pal D.,Indian Institute of Management Lucknow | Mitra S.K.,Indian Institute of Management Raipur
Transportation Research Part A: Policy and Practice | Year: 2016

By using the directional distance function (DDF) of data envelopment analysis (DEA), this study measures the technical efficiency of 37 Indian state road transport undertakings (SRTUs) for the year 2012–13. We employ the DDF as a tool for analyzing a joint production function with both desirable and undesirable outputs (i.e., the number of accidents). A comparison between the results with and without accidents shows that several SRTUs have experienced significant changes in their efficiency scores as well as in their rankings after accounting for the undesirable output. This indicates the importance of including the number of accidents – a safety standard – as representative of the undesirable output in computing the efficiency scores of SRTUs. The results of the Tobit model indicate that SRTUs with greater vehicle productivity are more efficient under both conventional DEA and DDF approaches. We also employed zero-truncated negative binomial model to assess the factors influencing the number of road accident experienced by the Indian SRTUs and found that the accident count was significantly influenced by fleet utilization and vehicle productivity. © 2016 Elsevier Ltd

Pal D.,Indian Institute of Management Lucknow | Mitra S.K.,Indian Institute of Management Raipur
Theoretical and Applied Climatology | Year: 2016

This study used a quantile autoregressive distributed lag (QARDL) model to capture asymmetric impact of rainfall on food production in India. It was found that the coefficient corresponding to the rainfall in the QARDL increased till the 75th quantile and started decreasing thereafter, though it remained in the positive territory. Another interesting finding is that at the 90th quantile and above the coefficients of rainfall though remained positive was not statistically significant and therefore, the benefit of high rainfall on crop production was not conclusive. However, the impact of other determinants, such as fertilizer and pesticide consumption, is quite uniform over the whole range of the distribution of food grain production. © 2016 Springer-Verlag Wien

Maity M.,Indian Institute of Management Lucknow
International Journal of Technology Management and Sustainable Development | Year: 2014

This article investigates the continued usage of mobile telecommunication services (voice services and short messaging services (SMS)) among users from low socio-economic groups in Asia, and also examines the moderating effects of demographic variables age and gender on the intention to continue using these services. We investigate the phenomenon of information obtained using voice-based services and non-voice-based services by users from low socio-economic groups. This investigation brings together the Technology Acceptance Model (TAM) framework, and the information search paradigm to suggest a model for continued use of mobile phones. Data collected from individual telecommunication users across five South East Asian countries are analysed through structural equation modelling (SEM) to test the hypotheses. Findings demonstrate that for voice services, perceived ease of use (PEU) significantly affects intention in younger users (and not older users), while usefulness is a stronger predictor of intention for older users. For users of voice services and SMS, PEU significantly affects intention in males only, while subjective norm significantly affects intention only in females. From a public policy perspective, a greater emphasis may be placed on disseminating information about the benefits of mobile telecommunication among potential mobile phone users through groups that influence user behaviour. © 2014 Intellect Ltd Article.

Pindoriya N.M.,Indian Institute of Technology Kanpur | Singh S.N.,Indian Institute of Technology Kanpur | Singh S.K.,Indian Institute of Management Lucknow
Electric Power Systems Research | Year: 2010

This paper proposes an approach for generation portfolio allocation based on mean-variance-skewness (MVS) model which is an extension of the classical mean-variance (MV) portfolio theory, to deal with assets whose return distribution is non-normal. The MVS model allocates portfolios optimally by considering the maximization of both the expected return and skewness of portfolio return while simultaneously minimizing the risk. Since, it is competing and conflicting non-smooth multi-objective optimization problem, this paper employed a multi-objective particle swarm optimization (MOPSO) based meta-heuristic technique to provide Pareto-optimal solution in a single simulation run. Using a case study of the PJM electricity market, the performance of the MVS portfolio theory based method and the classical MV method is compared. It has been found that the MVS portfolio theory based method can provide significantly better portfolios in the situation where non-normally distributed assets exist for trading. © 2010 Elsevier B.V. All rights reserved.

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