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On building up a closer psychic distance as a fundamental ground of relationship between India and Korea: Focusing on Jeonlanam-Do in Korea
The Uppsala model (Johanson and Wiedersheim-Paul, 1975) identifies cultural differences, market attractiveness, and core competence of nations or firms as the key factors affecting international market selection. Among these three factors, psychic distance caused by cultural differences is regarded as the most important factor. However, the psychic distance between India and Korea is not very close. The main objective of this paper is to examine the ways to boost economic relationships between India and Korea by building up a closer relationship of psychic distance. We suggest Jeonlanam-Do including Gwangju Metropolitan City (JDGC) in Korea as a stepping stone to make both countries' psychic distance closer as JD has several common grounds of intangible assets with India which includes its adherence to democracy, human rights and peace; the diverse food culture; and the religious zeal to Buddhism. We propose these common interests as a way to enhance the awareness of national brand 'India' in Korea which will attribute to a strategically developed economic relationship between Korea and India. 2022 Inderscience Enterprises Ltd.. All rights reserved. -
ON BLOCK-RELATED DERIVED GRAPHS
This paper introduces and analyses the block-degree of a vertex and the cut-degree of a block. The block-degree of a vertex v is the number of blocks containing v. The cut-degree of a block b is the number of cut vertices of G contained in b. The block-degree sequence of cut vertices of the graph and the cut-degree sequence of the graph are defined. A few characterizations of the block-degree and cut-degree sequence of the graph are established. Given a graph, its block graph (B(G)) is a graph where each vertex represents a block, and two vertices are connected if their blocks intersect. The number of cut vertices of B(G) is determined. Further, an investigation is carried out on the traversability of B(G). A block cutpoint graph (BC(G)) of a graph represents a graph where each vertex corresponds to either a block or a cut vertex, and two vertices are connected if one represents a block and the other represents a cut vertex contained within that block. The properties of BC(G) and its iterations are studied. The graph G for which BC(G) is a perfect m-ary tree is characterized. 2024, Canadian University of Dubai. All rights reserved. -
On bivariate Teissier model using Copula: dependence properties, and case studies
To precisely represent bivariate continuous variables, this work presents an innovative approach that emphasizes the interdependencies between the variables. The technique is based on the Teissier model and the Farlie-Gumbel-Morgenstern (FGM) copula and seeks to create a complete framework that captures every aspect of associated occurrences. The work addresses data variability by utilizing the oscillatory properties of the FGM copula and the flexibility of the Teissier model. Both theoretical formulation and empirical realization are included in the evolution, which explains the joint cumulative distribution function F(z1,z2), the marginals F(z1) and F(z2), and the probability density function (PDF) f(z1,z2). The novel modeling of bivariate lifetime phenomena that combines the adaptive properties of the Teissier model with the oscillatory characteristics of the FGM copula represents the contribution. The study emphasizes the effectiveness of the strategy in controlling interdependencies while advancing academic knowledge and practical application in bivariate modelling. In parameter estimation, maximum likelihood and Bayesian paradigms are employed through the use of the Markov Chain Monte Carlo (MCMC). Theorized models are examined closely using rigorous model comparison techniques. The relevance of modern model paradigms is demonstrated by empirical findings from the Burr dataset. The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2024. -
On Automatic Target Recognition (ATR) using Inverse Synthetic Aperture Radar Images
Inverse Synthetic Aperture Radar (ISAR) is used to image sea surface targets during day/night and all-weather capabilities for applications such as coastal surveillance, ship self-defense, suppression of drug trafficking etc. Hence automating classification of ships by means of machine learning methods has become more significant. Typical classification approaches consist of pre-processing, feature extraction and processing by classifiers. Image processing techniques are applied for pre-processing ISAR images. Transformation invariant features are then extracted to which classifiers such as SVM, Neural Networks (NNs) are applied. The performance of these algorithms depend on the manually chosen features and is trained to perform well for different target profiles. The target image (profile of target) varies depending on the target type, aspect angle and motion introduced due to different sea states. In addition, Deep learning methods are also being explored for classification of ships. The challenge is to classify ships for different sea conditions and image acquisition parameters with limited database and processing resource. 2023 IEEE. -
On an extension of the two-parameter Lindley distribution
AIM: Lindley distribution has been widely studied in statistical literature because it accommodates several interesting properties. In lifetime data analysis contexts, Lindley distribution gives a good description over exponential distribution. It has been used for analysing copious real data sets, specifically in applications of modeling stress-strength reliability. This paper proposes a new generalized two-parameter Lindley distribution and provides a comprehensive description of its statistical properties such as order statistics, limiting distributions of order statistics, Information theory measures, etc. METHODS: We study shapes of the probability density and hazard rate functions, quantiles, moments, moment generating function, order statistic, limiting distributions of order statistics, information theory measures, and autoregressive models are among the key characteristics and properties discussed. The two-parameter Lindley distribution is then subjected to statistical analysis. The paper uses methods of maximum likelihood to estimate the parameters of the proposed distribution. The usefulness of the proposed distribution for modeling data is illustrated using a real data set by comparison with other generalizations of the exponential and Lindley distributions and is depicted graphically. RESULTS/FINDINGS: This paper presents relevant characteristics of the proposed distribution and applications. Based on this study, we found that the proposed model can be used quite effectively to analyzing lifetime data. CONCLUSIONS: In this article, we proffered a new customized Lindley distribution. The proposed distribution enfolds exponential and Lindley distributions as sub-models. Some properties of this distribution such as quantile function, moments, moment generating function, distributions of order statistics, limiting distributions of order statistics, entropy, and autoregressive time series models are studied. This distribution is found to be the most appropriate model to fit the carbon fibers data compared to other models. Consequently, we propose the MOTL distribution for sketching inscrutable lifetime data sets. 2023 DSR Publishers/The University of Jordan. -
On an anti-torqued vector field on riemannian manifolds
A torqued vector field ? is a torse-forming vector field on a Riemannian manifold that is orthogonal to the dual vector field of the 1-form in the definition of torse-forming vector field. In this paper, we introduce an anti-torqued vector field which is opposite to torqued vector field in the sense it is parallel to the dual vector field to the 1-form in the definition of torse-forming vector fields. It is interesting to note that anti-torqued vector fields do not reduce to concircular vector fields nor to Killing vector fields and thus, give a unique class among the classes of special vector fields on Riemannian manifolds. These vector fields do not exist on compact and simply connected Riemannian manifolds. We use anti-torqued vector fields to find two characterizations of Euclidean spaces. Furthermore, a characterization of an Einstein manifold is obtained using the combination of a torqued vector field and FischerMarsden equation. We also find a condition under which the scalar curvature of a compact Riemannian manifold admitting an anti-torqued vector field is strictly negative. 2021 by the authors. Licensee MDPI, Basel, Switzerland. -
ON 3-DIMENSIONAL QUASI-PARA-SASAKIAN MANIFOLDS AND RICCI SOLITONS
The purpose of this paper is to study 3-dimensional quasi-para-Sasakian manifolds and Ricci solitons. First, we prove that a 3-dimensional non-paracosymplectic quasi-para-Sasakian manifold is an ?-Einstein manifold if and only if the structure function ? is constant. Further, it is shown that a Ricci soliton on a 3-dimensional quasi-para-Sasakian manifold with ?=constant is expanding. Moreover, we show that if a 3-dimensional quasi-para-Sasakian manifold admits a Ricci soliton, then the flow vector field V is Killing, and the quasi-para-Sasakian structure can be obtained by a homothetic deformation of a para-Sasakian structure. Besides, we study gradient Ricci solitons and prove that if a 3-dimensional non-paracosymplectic quasi-para-Sasakian manifold with ?=constant admits a gradient Ricci soliton, then the manifold is an Einstein one. Also, a suitable example of a 3-dimensional quasi-para-Sasakian manifold is constructed to verify our results. 2022 A. Razmadze Mathematical Institute of Iv. Javakhishvili Tbilisi State University. All rights reserved. -
On /delta^(k)-colouring of Powers of Paths and Cycles
In animpropervertexcolouringofagraph,adjacentverticesarepermittedto receivesamecolours.Anedgeofanimproperlycolouredgraphissaidtobeabad edge ifitsendverticeshavethesamecolour.Anear-propercolouringofagraphis a colouringwhichminimisesthenumberofbadedgesbyrestrictingthenumberof colour classes that can have adjacency among their own elements. The ?(k)- colouring is anear-propercolouringof G consisting of k givencolours,where1 ? k ? ?(G) ? 1, whichminimisesthenumberofbadedgesbypermittingatmostonecolourclassto have adjacency among the vertices in it. In this paper,we discuss the number of bad edges ofpowers of paths and cycles. Published by Digital Commons@Georgia Southern, 2021. 2021 Georgia Southern University. All rights reserved. -
On (k) -coloring of generalized Petersen graphs
The chromatic number, ?(G) of a graph G is the minimum number of colors used in a proper coloring of G. In an improper coloring, an edge uv is bad if the colors assigned to the end vertices of the edge is the same. Now, if the available colors are less than that of the chromatic number of graph G, then coloring the graph with the available colors leads to bad edges in G. In this paper, we use the concept of (k)-coloring and determine the number of bad edges in generalized Petersen graph (P(n,t)). The number of bad edges which result from a (k)-coloring of G is denoted by bk(G). 2022 World Scientific Publishing Company. -
On (?)-Lorentzian para-Sasakian Manifolds
The object of this paper is to study (?)-Lorentzian para-Sasakian manifolds. Some typical identities for the curvature tensor and the Ricci tensor of (?)-Lorentzian para-Sasakian manifold are investi-gated. Further, we study globally ?-Ricci symmetric and weakly ?-Ricci symmetric (?)-Lorentzian para-Sasakian manifolds and obtain interesting results. 2022 Academic Center for Education, Culture and Research TMU. -
On ?(k)-colouring of Some Wheel Related Graphs
The question on how to colour a graph G when the number of available colours to colour G is less than that of the chromatic number ?(G), such that the resulting colouring gives a minimum number of edges whose end vertices have the same colour, has been a study of great interest. Such an edge whose end vertices receives the same colour is called a bad edge. In this paper, we use the concept of ?(k)-colouring, where 1 ? k ? ?(G) ? 1, which is a near proper colouring that permits a single colour class to have adjacency between the vertices in it and restricts every other colour class to be an independent set, to find the minimum number of bad edges obtained from the same for some wheel related graphs. The minimum number of bad edges obtained from ?(k)-colouring of any graph G is denoted by bk(G). 2024 the Author(s), licensee Combinatorial Press. -
On ?(k)-coloring of powers of helm and closed helm graphs
If the availability of colors to color a graph G is less than that of the chromatic number ?(G) of the graph, then coloring the graph with available colors, say k colors, where 1 ? k ? ?(G)-1, will cause the end vertices of at least one edge to be colored with same color. Such an edge whose end vertices receive a same color is called as a bad edge. A coloring that restricts few color classes to have adjacency between the elements in it so as to minimize the number of bad edges obtained from it in a graph G is called as a near proper coloring and a near proper coloring that uses k colors where 1 ? k ? ?(G)-1 to color a graph G by permitting only one color class to have adjacency among the elements in it and thereby minimize the number of bad edges resulting from the permitted color class is called as a ?(k)-coloring of the graph G. In this paper, we determine the number of bad edges of powers of helm graphs H1,nr and powers of closed helm graphs CH1,nr. 2022 World Scientific Publishing Company. -
On ?(k)-coloring of graph products
An edge which is incident on two vertices that are assigned the same color is called a bad edge. A near proper coloring is a coloring that minimises the number of bad edges in a graph G, by permitting few color classes to have adjacency between the elements in it. A near proper coloring, that uses k colors where 1 ? k ? ?(G) ? 1, which allows at most one color class to be a non independent set to minimise the number of bad edges resulting from the same is called a ?(k)-coloring. In this paper, we determine the minimum number of bad edges, bk(G), resulting from a ?(k)- coloring of some graph products viz. direct product of two graphs G H and corona product of two graphs G?H, for all different possible values of k by investigating an optimal ?(k)-coloring that results in minimum number of bad edges. (2023), (Institute of Combinatorics and its Applications). All Rights Reserved. -
On ? -Vertex Choosability of Graphs
A connected, simple graph G with vertex set V(G) = { 1 , 2 , , n} is said to be vertex (n,k)-choosable, if there exists a collection of subsets { Sk(v) ? V(G) : v? V} of cardinality k, such that Sk(u) ? Sk(v) = ? for all uv? E(G) , where k is a positive integer less than n. The maximum value of such k is called the vertex choice number of G. In this paper, we introduce the notion of ?- choosability of graphs in terms of their vertex (n,k)-choice number and initiate a study on the structural characteristics of ?-choosable graphs. 2020, The National Academy of Sciences, India. -
Omnichannel supply chain in india: A study using sap-lap approach
Organizations are increasingly adding new service delivery channels to make their products and services readily available in such an environment. Omnichannel retailing will help organizations to provide better consumer service while making it easy for them to do business when appropriately implemented. By implementing omnichannel retailing, organizations will benefit from high operational efficiency, better financial performance, smoother communication, and a satisfied, loyal customer base. Therefore, this study tries to explore the current situation of the retail industry in India, the major actors or players of the business ecosystem, and processes adopted in organizations to provide products and services to their customers. The study will be qualitative in nature and is approached through an SAP (situation-actor-processes)-LAP (learnings-actions-performance) framework to synthesize learning from the current scenario to propose actions and set the performance measures. 2024, IGI Global. All rights reserved. -
Omics based approach for biodiscovery of microbial natural products in antibiotic resistance era
The need for a new antibiotic pipeline to confront threat imposed by resistant pathogens has become a major global concern for human health. To confront the challenge there is a need for discovery and development of new class of antibiotics. Nature which is considered treasure trove, there is re-emerged interest in exploring untapped microbial to yield novel molecules, due to their wide array of negative effects associated with synthetic drugs. Natural product researchers have developed many new techniques over the past few years for developing diverse compounds of biopotential. Taking edge in the advancement of genomics, genetic engineering, in silico drug design, surface modification, scaffolds, pharmacophores and target-based approach is necessary. These techniques have been economically sustainable and also proven efficient in natural product discovery. This review will focus on recent advances in diverse discipline approach from integrated Bioinformatics predictions, genetic engineering and medicinal chemistry for the synthesis of natural products vital for the discovery of novel antibiotics having potential application. 2018 -
Old Monk: The Resurrection of a Heritage Brand
This case is developed to discuss options related to strategy in general and marketing strategy in particular that were implemented by an iconic brandOld Monkin the compelling attempt to revive the its brand value and relevance. The protagonist in the case is Mr Hemanth Mohan, the Director of this brand who is faced with serious challenges in resurrecting the brand in a hypercompetitive, ever-changing lifestyle alcoholic beverages market in India. The most significant of the challenges faced by Mr Mohan are changing tastes and preferences of the consumer, new foreign brands entering into the market, strong regulation, close monitoring from the government, and the monopoly of state-managed liquor retail chains. This case addresses and provides for the evaluation of various strategic options available for the brand in terms of repositioning itself in the relevant markets. The case presents questions related to how effectively a traditional brand can carry forward the legacy to redeem its brand value in the light of changing tastes and customer preferences. The case proposes to bring to light the importance of strategic decisions to be made around managing brand extensions in addressing the dilemma of brand value being spread too thin versus capitalizing on the past glory of the brand in finding life for the newly launched products under the known umbrella. This case is developed with an intent to be discussed among students pursuing undergraduate and/or graduate education in management discipline. The case is well aligned to be relevant for discussing concepts related to brand management, marketing strategy, strategic management, and consumer behavior. The content of this case is designed to be discussed and delivered in a typical 90-min class session, allowing students 120 min of pre-reading time and 120 min of post-discussion report preparation. 2020 K.J. Somaiya Institute of Management Studies and Research. -
Old and new private sector banks in india: Performance analysis
In the era of globalization and liberalization, a bank has to compete with not only local players and also internationally. It is tough time for Indian banking industry. Banks take various steps to improve the performance and provide best services to customers. Performance of banks refers to the capacity in generating sustainable profitability. Banks need to evaluate the performance and find the strength and weakness by considering important ratios. Researchers have analysed the performance of banks applying various tools and techniques. The present study seeks to assess the financial performance of old and new private sector banks operating in India. One of the models for assessing the performance of banks are CAMEL model. The study was conducted using secondary data. The study covered a period of 10 years and the data collected for study had been analysed using Simple Arithmetic Mean, Coefficient of Variation, Linear Growth Rate, Analysis of Variance (ANOVA) and Ranking for CAMEL model. Under this model, banks have been rated based on five criteria namely, C-Capital Adequacy, A-Asset Quality, M-Management Efficiency, E-Earning Quality and L-Liquidity. This study was conducted on the financial performance of twenty banks consisting of seven new private sector banks and thirteen private sector banks in India. The result has disclosed that various banks have been performing well in different parameters. As per CAMEL model overall ranking, Karur Vysya bank, Federal bank and Tamilnad Mercantile banks have occupied first three spots under the old private sector banks. In the case of the new private sector banks the first three slots have been held by HDFC bank, Kotak Mahindra bank and Yes bank respectively. The estimated ratios have disclosed that the new private sector banks have been enjoying a better financial health than the old private sector banks during the study period. The old private banks have to pay attention to improve the financial performance in the future. 2020 SERSC. -
Oil Price Volatility and Its Impact on Industry Stock Return Bi Variate Analysis
Oil price volatility impacts industries differently depending on a countrys status as a net oil importer or exporter. In oil-importing nations like India, sectors such as banking, energy, materials, retailing, transportation, and manufacturing are adversely affected by price fluctuations, while industries like food, beverages, and pharmaceuticals tend to be more resilient. Conversely, oil-exporting countries experience milder effects, with the oil and gas sector bearing the brunt of supply disruptions while other industries remain insulated. Over time, the correlation between oil prices and stock market performance has strengthened, making oil price volatility a systemic risk factor. The source of oil price shocks, whether from demand changes or supply disruptions, significantly influences their impact on stock returns. Notably, there are substantial volatility spillovers between oil and stock markets. This study aims to explore the relationship between oil shocks and industry returns using various multivariate models, highlighting the importance of considering oil as a relevant risk factor in portfolio management. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
Oil extract containing heat transfer fluid composition /
Patent Number: WO2018/220653, Applicant: Hindustan Petroleum Corporation Limited.
The instant disclosure provides a process for the extraction of the oil extract from petroleum-based oils. The present disclosure also provides a composition for heat transfer applications, exhibiting enhanced thermo-physical properties, comprising a combination of base fluid (DPO) and an oil extract wherein the oil extract has a weight percentage in the range of 5 - 20 %. The present disclosure also provides a process for the preparation of the composition.