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Cyclic property of iterative eccentrication of a graph
The eccentric graph of a graph G, denoted by Ge, is a derived graph with the vertex set same as that of G and two vertices in Ge are adjacent if one of them is an eccentric vertex of the other. The process of constructing iterative eccentric graphs, denoted by Gek is called eccentrication. A graph G is said to be ?-cyclic(t,l) if G,Ge,Ge2,...,Gek,Gek+1,...,Gek+l are the only non-isomorphic graphs, and the graph Gek+l+1 is isomorphic to Gek. In this paper, we prove the existence of an ?-cycle for any simple graph. The importance of this result lies in the fact that the enumeration of eccentrication of a graph reduces to a finite problem. Furthermore, the enumeration of a corresponding sequence of graph parameters such as chromatic number, domination number, independence number, minimum and maximum degree, etc., reduces to a finite problem. 2023 World Scientific Publishing Company. -
Eccentric Graph of Join of Graphs
The eccentric graph Ge corresponding to a graph G is a derived graph with the same vertex set of G and two vertices in Ge are neighbours if one of them is the eccentric vertex of the other. Motivated by the studies on derived graphs and graph operations, in this article, the eccentric graph of the join of two graphs is analysed based on the variations in the radius. The notion of eccentric join of two graphs with at least one of them having radius 1, is introduced. The eccentric graph of eccentric join of graphs is also examined. Finally, the concept of r-eccentric join of graphs is also introduced. This study is analytical in nature, which involves deductive and logical reasoning. 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
Novel PAPR Reduction in UFMC system for 5G Wireless Networks Using Precoding Algorithm
The Universal Filtered Multi-carrier (UFMC) system is promising alternative multicarrier modulation scheme for fifth generation (5G) cellular networks. UFMC systems offer many advantages such as larger spectral efficiency, robustness, lower latency and minimizing out of band emission. However, the most serious problem in the UFMC system is high peak to average power ratio (PAPR). This high peak signal is seriously harmed by the high power amplifier (HPA). Therefore, this research presents a novel Square Root raised Cosine function (SRC)-Precoding method introduced to reduction of PAPR. A performance analysis of various methods being examined upon in terms of CCDF of PAPR and the BER. The Simulation result shows that the proposed approach can effectively reduce the PAPR 6dB compared to standard UFMC. Moreover, the bit error rate (BER) study of the UFMC model indicates that the proposed approach significantly improves 15 dB compared with conventional UFMC systems. 2022 IEEE. -
The Future of the Gig Professionals: A Study Considering Gen Y, Gen C, and Gen Alpha
This article aims to analyze the reasons behind the gig economys growth considering the present and future. From few empirical pieces of evidence, it is clear that the gig economy took shape after the 2008 great economic recession, where unemployment rose in leaps and bounds along with voluntary job leaving. In recent times, the COVID-19 pandemic is one of the primary reasons for the forced rise of the gig economy. Strategically and practically speaking, from the economic point of view, the gig economy is dominated by Gen Y and Gen C and will be dominated by Gen Alpha soon. However, there are very fragile differences between Gen Y, C, and Gen Alpha; all three generations are lashed together in the name of tech-savvy and flexibility-seekers. Thus, this article justifies the influence of technology generations and the rise of the gig economy. There is less research work exclusively on Gen Y, C, and Alpha. Still, regarding the gig economy in light of the great economic recession and COVID-19, this new work highlights originality. Future researchers working on Gen Alpha and Gen C can explore the role of digital technologies in changing routine life and its impact on their personal life and career life. Technology has been a significant reason for the sprung-in gig jobs. However, it can also have adverse outcomes, which has scope to be explored. Thus, this research may be a catalyst for future research works in similar lines. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022. -
A study on optimal portfolio construction with special reference to NSE CNX Nifty pharma index
Portfolio is a process of blending together the broad asset classes so as to obtain optimum return with minimum risk is called portfolio construction. In order to reduce the risk, investors need to diversify, spread their portfolio across a broad mix of assets. Diversifying the portfolio can help smooth out market ups and downs and returns from better performing assets help to offset those that arent performing so well. The present study has empirically examined the portfolio construction with special reference to NSE CNX Nifty Pharma Index. The study applied the Sharpe Single Index model to generate an efficient combination of securities from sample Pharma companies and has come up with a subsequent pattern. The study found that out the sample Pharma companies, Aurobindo Pharma Ltd attracted high risk while Glenmark Pharmaceuticals Ltd experienced the least risk, on the basis of return earned by the companies in the Pharma Index; Aurobindo Pharma Ltd has high return while Lupin Ltd has lowest return. Experimental results have demonstrated the feasible of the investment strategy, portfolio idea and electiveness of the combination assets on the investment strategy. IAEME Publication. -
Study on testing the stationarity and co-integration among the sectoral indices of national stock exchange of India
The Stock Market is a market for the trading of company stocks. It is an organized market place where members of the organization gather to trade company stocks and other securities. An index is important to measure the performance of investments against a relevant market index. Sectoral indices serve as a benchmark for measuring the performance of the stocks or portfolios. This study explores stationarity and co-integration relationship among stock market returns and the eight important NSE sectoral indices for the period of January 2013 to December 2017. Sectoral Index series indicates the existence of co integration among the sectoral indices of NSE. Co integration exists in long run equilibrium and in short run they diverge from each other or they have disequilibrium. This study is useful to find out the determinant factors of the National Stock Exchange and led lag relationship among the Sectoral Indices in National Stock Exchange. IAEME Publication. -
Forecasting the Volatility of Indian Forex Market: An Evidence from GARCH Model
Forecasting the volatility of forex market will create more trading opportunities to investors, despite of ups and downs in the forex market. The present study attempted to examine how the volatility in the exchange rate between Indian rupee and selected four foreign currencies, such as US dollar, euro, Japanese yen and British pound, can influence the market return. The data, used in the present study, covered the daily price observation of four foreign currencies, for a period of 5 years, from 2019-2023. The GARCH (1, 1) (generalized autoregressive conditional hetero skedasticity) was used for develop the model for foreign exchange (FX) rates volatility. Mean equation model confirmed that the series had attained stationary and previous price did influence the current price. It was also supported by co-efficient values in the variance equation. The co-efficient value, in the variance equation, was around one, which showed that the forex market was efficient. Further, it was validated that the volatility shocks in forex market were quite persistent. The active investors in the market may use this opportunity immediately. The policy maker may correct this deviation through timely intervention in the currency market. 2024, Iquz Galaxy Publisher. All rights reserved. -
An efficient methodology for resolving uncertain spatial references in text documents
In recent decades, all the documents maintained by the industries are getting transformed into soft copies in either structured documents or as an e-copies. In text document processing, there is a number of ways available to extract the raw data. As the accuracy in finding the spatial data is crucial, this domain invites various research solutions that provide high accuracy. In this article, the Fuzzy Extraction, Resolving, and Clustering (FERC) architecture is proposed which uses fuzzy logic techniques to identify and cluster uncertain textual spatial reference. When the text corpus is queried with a spatial-keyword, FERC returns a set of relevant documents sorted in view of the fuzzy pertinence score. Any two documents may be compared in light of the spatial references that exist in them and their fuzzy similarity score is presented. This enables finding the degree to which the two documents speak about a specified location. The proposed architecture provides a better result set to the user, unlike a Boolean search where the document is either rated relevant or irrelevant. Copyright 2020, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. -
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Machine learning in smart agriculture
Agriculture is the cultivation of the soil, the growth of crops and the raising of livestock. Agriculture is critical to the economic development of a country. Farming generates nearly 58% of a country's primary income. Previously, cultivators had accepted conventional farming practices. Because these methods were imprecise, they produced less and took longer time. Precise farming boosts productivity by precisely determining which steps must be completed at what time. Precision farming entails forecasting the weather, analyzing soil, recommending crops for cultivation and calculating the amount of fertilizer and pesticides that must be used. Precise farming uses advanced technologies such as IoT, data mining, data analytics, and machine learning (ML) to collect data, train systems and predict outcomes. Precision farming employs technology to reduce manual labor and boost productivity. Farmers have recently faced several difficulties, such as crop failure due to insufficient rainfall, soil infertility and so on. The proposed work in determining the soil, managing crops and harvesting efficiently can solve the problems caused by environmental changes. It guides a person's farming strategy to produce better results through a proper prediction process. The goal of this research is to assist an individual in efficiently cultivating crops, resulting in high productivity at a low cost. It also assists in estimating the total cost of cultivation and forecasting the likely economic barriers. This would help a person plan activities prior to cultivation, resulting in an integrated farming solution. 2023 River Publishers. All rights reserved. -
Intrinsic betterness and reason based extrinsic preference towards social shopping: A study among college students in Bangalore
The main purpose of this study is to analyze the Intrinsic and Extrinsic factors and its impact on the social shopping of student community in the city of Bangalore. Bangalore is one of the most popular cities in the down south. This city attracts a mix of various cultures from various countries of the world. Thus, this city and population would be apt to study the social shopping pattern considering the Intrinsic and Extrinsic factors. The data was collected from the student community, perusing their college education in the city of Bangalore. Using convenient sampling method, a sample size of 225 was drawn from educational institutions in the city of Bangalore. The research work makes use of both first hand and second-hand data. The reliability of the data is acceptable as the Cronbach's alphas value is more than. 6. The drafted questionnaire was subjected to expert opinion before the data collection process. The study results make it clear that both intrinsic and extrinsic values motivate the consumers to get involved in the social shopping. But comparatively consumers are more influenced by those factors present in the external environment. It can be concluded by saying that, youngsters are quite smart before putting themselves into the purchase behavior, as they are in a group of friends, they get influenced by various experiences and comments shared by many. In a way social shopping is better, as too many minds generate ideas for a single purchase. 2018 Transilvanian Association for the Literarure and Culture of Romanian People (ASTRA). All rights reserved. -
Mudhr: Malicious URL detection using heuristic rules based approach
Technology advancement helps the people in numerous ways such as it supports business development, banking, education, entertainment etc. Especially time critical and money related activities, people are fully really on internet and web applications. It saves valuable time and money. Despite of the benefits, it also gives wide space for the attackers to focus more victims. Malicious URL based attacks are most common and more dangerous attacks now a day which steals the credentials and sensitive data from the victims and perform malicious activities in the victim's space. Phishing, Spamming, drive by download are the example of such attacks and are preformed through malicious URL. Plenty of approaches are available to detect the malicious URL. That are grouped under three categories such as Blacklist based, Heuristic based and Machine Learning based approaches. Among the three, heuristic approach is better than the blacklist approach in term of better generalizing the malicious URL and gives equally accurate prediction with machine learning approach. This paper presents recent works in the field of malicious URL detection and novel technique to detect malicious URL based on the most important features derived from URL. 2022 Author(s). -
Cost Effective Synthesis of Carbon Nanoparticles and Exploring the Fluorescence and Electrochemical Applications
Graphene-based materials and composites for sensing are a fascinating field in material science research that is experiencing rapid advancement. But the applications of graphene-based materials were often hampered by their high production cost, low yield, expensive and scarce precursors, harmful processing techniques, etc. Coal is made up of islands of nanometer-sized crystalline carbon domains linked by a 3D network of amorphous aliphatic carbon and polymerized aromatic hydrocarbons that can be extracted using mild oxidizing agents. In this context, the present study reports the successful usage of low-grade coal, lignite as an ideal precursor for the production of carbon nanostructures for various sensing applications. This research is divided into three parts where value addition to coal is being done along with finding solutions to three major environmental issues: fluorescence sensing of copper ion; noninvasive glucose fluorescence sensing; simultaneous electrochemical sensing of heavy newlinemetal ions cadmium and lead. In the first study, carbon nanostructures were synthesized from lignite by a simple, scalable, and economical technique and the as-prepared carbon nanostructures, namely LC1, LC2 and LC3, demonstrated excellent fluorescence characteristics. LC3 exhibited remarkable copper ion sensing with a dual linear range with limits of detection (LOD) as low as 1.32 pM and 2.35 pM, with limits of quantification (LOQ) 4 pM and 7.14 pM respectively. The accuracy of the manufactured sensor was shown by the recovery rates of copper ions, which varied from 98.18% to 101.2% with Relative newlineStandard Deviations (RSDs) below 0.4%. The results are captivating, implying that newlinethese lignite derived carbon nanostructures could be employed to efficiently and newlineeconomically detect low concentrations of copper ions in water. In the second study, carbon nanoribbons and nanosheets with superior fluorescence were synthesized from lignite, using a facile chemical oxidation process. -
Topological Indices Based on Distance Labeling
This thesis explores the prospect of combining two prime branches of graph theory, newlineviz., topological indices and graph labeling, specifcally radio labeling. The majority newlineof the work includes the topological radio indices of graphs and their properties. Topological indices are numerical values associated with graphs and invariant with graph isomorphisms. Apart from Topological Radio Indices, it provides some additions to the eccentricity-based topological indices. newlineRadio labeling or radio coloring, c, is assigned to a graph G such that the label difference between any two vertices must be greater than diam(G)+ 1 and#8722; d(u,v). Optimum radio labeling is the foundation for defning Topological radio indices. Labeling whose span is the radio number of the graph and which leads to the minimum value of the index newlineis considered the optimum radio labeling. The topological radio indices and coindices newlineare defned and are found out for some special classes of graphs, including gear graphs, newlinewheel graphs, and star graphs. The bounds for the frst, second and third Zagreb radio indices have been established and characterized for the classes of graphs for which the bound is sharp. Furthermore, newlinespecifc relationships between Zagreb radio indices and coindices are established concerning different parameters of the graph. newlineThe idea of consecutive radio labeling is explicitly studied. We have characterized the newlinegraphs with diameter 2 admitting consecutive radio labeling. We have studied the properties of graphs admitting consecutive radio labeling and stated the necessary and suffcient conditions for a graph to follow consecutive radio labeling. The study extended to eccentricity-based topological indices, viz., the forgotten eccentricity indices. The maximum d(u,v) for all v in V(G) is the eccentricity of the vertex u in G. This work also investigates eccentricity-based coindices and some of their properties. newlineApart from this, some uniquely radio colorable graphs are examined and characterized. -
Do gender diversity and leadership style influence team performance and innovation among the employees: Evidence from the IT sector
The aim of this chapter is to investigate the influence of gender diversity and leadership style on team performance and innovation of potential teams in the information technology sector. A questionnaire was developed, and a sample of 403 responses were collected from the employees. The analysis of the collected data was done using statistical tests of correlation and logistical regression, in order to understand the relationship and impact of gender diversity and leadership style on team performance and innovation potential of teams. The following findings emerged from the analysis. The findings reveal that there is a positive and significant relationship between gender diversity, leadership style, team performance, and innovation. Also, the result from logistics regression evidence that gender diversity and communication have an impact on team performance, whereas organisational culture and communication have an impact on innovation potential within teams. 2024, IGI Global. All rights reserved. -
Do flexible working hours influence employee skill enhancement and productivity? Evidence from polyvalent workers
This chapter investigates the influence of flexible working schedules affect the productivity and skill development of polyvalent workers. A thorough literature analysis guided the creation of a questionnaire that was given to 153 polyvalent workers as a sample. The gathered data was subjected to statistical analysis in order to determine how flexible work schedules affected worker productivity and skill development. The results show a strong correlation between flexible work schedules and increased productivity and skill development among employees. Furthermore, it was discovered that these results were significantly impacted by flexible working hours. Flexible schedules can help multitasking employees, who are skilled in a range of jobs, improve their productivity and further develop their skills. Companies that use polyvalent labour are encouraged to think about adopting flexible work schedules as a way to improve worker productivity and abilities. 2024, IGI Global. All rights reserved. -
Fabrication and Applications of Wrinkled Soft Substrates: An Overview
Morphology of soft materials, including those of natural systems has great influence in controlling their surface functionalities and responses to external stimuli. Surface morphological features of natural soft systems are produced through controlled cell growth and tissue growth. Artificial systems capable of emulating the morphology-dependent physicochemical responses of natural soft substrates can be prepared through various methods such as surface oxidation, thermal stress, compressive stress, etc. Wrinkling is an important morphological irregularity on soft substrates which can be leveraged in this direction. Wrinkling in artificial soft systems can be achieved through several experimental strategies such as compressive stress, thermal stress, surface oxidation, etc. The tunable, reversible and responsive nature of wrinkled soft substrates make them a potential tool for numerous applications in electronics, optics, adhesives, etc. In this review, have briefly summarized and commented on recent developments in different types of wrinkled soft substrates, their preparation, and emergent applications. 2022 Wiley-VCH GmbH. -
Facile fabrication of stable wettability gradients on elastomeric surfaces for applications in water collection and controlled cell adhesion
We have developed a simple and effective method to prepare stable wettability gradients on an elastomeric soft substrate, polydimethylsiloxane (PDMS). In our method, a partially cured PDMS film composed of a definite ratio of elastomer and crosslinking agent was heated over a hot surface with a temperature gradient. This causes differential thermal curing of the PDMS film and the water contact angle (wettability) of the resultant surface showed gradual variation across the length. This method allows us to design and fabricate wettability gradients with rationally controlled directionality and shapes (e.g., linear and radial gradients). The stability of the wettability gradients was studied and a chemical treatment method was developed to enhance the stability at room temperature. Stable wettability gradients prepared through this method can find applications as reliable platforms and scaffolds offering controlled or directional wetting and adhesion. We have demonstrated the practical applications of the wettability gradients in directional water collection, controlled crystallization of materials, and controlled cell adhesion of HeLa cells, osteoblasts and NIH/3T3 cells. The multi-functional characteristics of these wettable gradients are expected to be handy in other domains using soft materials and interfaces also. 2023 The Royal Society of Chemistry. -
Compositionally Homogeneous Soft Wrinkles on Elastomeric Substrates: Novel Fabrication Method, Water Collection from Fog, and Triboelectric Charge Generation
Functionality and stimuli-response of natural and artificial elastomeric materials depend significantly on the morphology of their surfaces. Structural transformability and tunable responsiveness of wrinkles on elastomeric materials can enable numerous applications in flexible electronics, optics, and adhesives. Currently existing fabrication techniques rely on sophisticated instrumentation, complex experimental setups, and expensive reagents. These methods are limited in terms of mechanical robustness of the wrinkles produced. Here, a simple, inexpensive, scalable, and reproducible strategy, making use of buckling instability for the creation of soft surface wrinkles on polydimethylsiloxane (PDMS), is presented. PDMS with lower elastic modulus is spin-coated onto a mechanically stretched film of PDMS with a higher elastic modulus. Thermal curing followed by the release of prestrain resulted in the formation of wrinkles in the top layer of the PDMS. The hydrophobic soft surface wrinkles with compositional homogeneity exhibit efficient fog water collection and triboelectric charge generation useful for the preparation of triboelectric nanogenerator devices. Furthermore, the substrates show high mechanical stability and mechanoresponsive optical behaviors. The simplicity and general applicability of the method presented here is expected to establish a promising pathway toward the formation of soft wrinkles in other elastomeric systems also, facilitating important applications in various fields. 2022 Wiley-VCH GmbH. -
Routing Protocol for Low Power and Lossy Network Using Energy Efficient Priority Based Routing
Internet of Thing (IoT) collects huge amount of data from the surrounding by monitoring and sensing. Further, transferring these data from IoT devices to cloud environment seems is very challenging. Such that, this paper concentrates on energy consumption, in which the energy efficient routing and priority dependent techniques are proposed. This technique depends upon the RPL network (Routing Protocol for Low power and Lossy), which efficiently predicts routing over contents. Every network slot utilizes timing pattern while forwarding image data, audio data. The proposed method enhances the strength of routing protocol and also avoids congestion. The outcomes of the study illustrates that proposed Energy efficient priority based routing (EEPR) technique minimize overheads on mesh, energy consumption and end-end delay. Also, the proposed method outperforms the existing QRPL methods in IoT platform. 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.