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Article
Publication date: 16 February 2021

Saroj Kumar Pandey and Rekh Ram Janghel

According to the World Health Organization, arrhythmia is one of the primary causes of deaths across the globe. In order to reduce mortality rate, cardiovascular disease should be…

515

Abstract

Purpose

According to the World Health Organization, arrhythmia is one of the primary causes of deaths across the globe. In order to reduce mortality rate, cardiovascular disease should be properly identified and the proper treatment for the same should be immediately provided to the patients. The objective of this paper was to implement a better heartbeat classification model which will work better than the other implemented heartbeat classification methods.

Design/methodology/approach

In this paper, the ensemble of two deep learning models is proposed to classify the MIT-BIH arrhythmia database into four different classes according to ANSI-AAMI standards. First, a convolutional neural network (CNN) model is used to classify heartbeats on a raw data set. Secondly, four features (wavelets, R-R intervals, morphological and higher-order statistics) are extracted from the data set and then applied to a long short-term memory (LSTM) model to classify the heartbeats. Finally, the ensemble of CNN and LSTM model with sum rule, product rule and majority voting has been used to identify the heartbeat classes.

Findings

Among these, the highest accuracy obtained is 98.58% using ensemble method with product rule. The results show that the ensemble of CNN and BLSTM has offered satisfactory performance compared to other techniques discussed in this study.

Originality/value

In this study, we have developed a new combination of two deep learning models to enhance the performance of arrhythmia classification using segmentation of input ECG signals. The contributions of this study are as follows: First, a deep CNN model is built to classify ECG heartbeat using a raw data set. Second, four types of features (R-R interval, HOS, morphological and wavelet) were extracted from the raw data set and then applied to the bidirectional LSTM model to classify the ECG heartbeat. Third, combination rules (sum rules, product rules and majority voting rules) were tested to ensure the accumulated probabilities of the CNN and LSTM models.

Details

Data Technologies and Applications, vol. 55 no. 3
Type: Research Article
ISSN: 2514-9288

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Article
Publication date: 27 April 2020

Saroj Kumar, Dayal R. Parhi, Manoj Kumar Muni and Krishna Kant Pandey

This paper aims to incorporate a hybridized advanced sine-cosine algorithm (ASCA) and advanced ant colony optimization (AACO) technique for optimal path search with control over…

346

Abstract

Purpose

This paper aims to incorporate a hybridized advanced sine-cosine algorithm (ASCA) and advanced ant colony optimization (AACO) technique for optimal path search with control over multiple mobile robots in static and dynamic unknown environments.

Design/methodology/approach

The controller for ASCA and AACO is designed and implemented through MATLAB simulation coupled with real-time experiments in various environments. Whenever the sensors detect obstacles, ASCA is applied to find their global best positions within the sensing range, following which AACO is activated to choose the next stand-point. This is how the robot travels to the specified target point.

Findings

Navigational analysis is carried out by implementing the technique developed here using single and multiple mobile robots. Its efficiency is authenticated through the comparison between simulation and experimental results. Further, the proposed technique is found to be more efficient when compared with existing methodologies. Significant improvements of about 10.21 per cent in path length are achieved along with better control over these.

Originality/value

Systematic presentation of the proposed technique attracts a wide readership among researchers where AI technique is the application criteria.

Details

Industrial Robot: the international journal of robotics research and application, vol. 47 no. 4
Type: Research Article
ISSN: 0143-991X

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Article
Publication date: 4 October 2021

Chittaranjan Paital, Saroj Kumar, Manoj Kumar Muni, Dayal R. Parhi and Prasant Ranjan Dhal

Smooth and autonomous navigation of mobile robot in a cluttered environment is the main purpose of proposed technique. That includes localization and path planning of mobile…

211

Abstract

Purpose

Smooth and autonomous navigation of mobile robot in a cluttered environment is the main purpose of proposed technique. That includes localization and path planning of mobile robot. These are important aspects of the mobile robot during autonomous navigation in any workspace. Navigation of mobile robots includes reaching the target from the start point by avoiding obstacles in a static or dynamic environment. Several techniques have already been proposed by the researchers concerning navigational problems of the mobile robot still no one confirms the navigating path is optimal.

Design/methodology/approach

Therefore, the modified grey wolf optimization (GWO) controller is designed for autonomous navigation, which is one of the intelligent techniques for autonomous navigation of wheeled mobile robot (WMR). GWO is a nature-inspired algorithm, which mainly mimics the social hierarchy and hunting behavior of wolf in nature. It is modified to define the optimal positions and better control over the robot. The motion from the source to target in the highly cluttered environment by negotiating obstacles. The controller is authenticated by the approach of V-REP simulation software platform coupled with real-time experiment in the laboratory by using Khepera-III robot.

Findings

During experiments, it is observed that the proposed technique is much efficient in motion control and path planning as the robot reaches its target position without any collision during its movement. Further the simulation through V-REP and real-time experimental results are recorded and compared against each corresponding results, and it can be seen that the results have good agreement as the deviation in the results is approximately 5% which is an acceptable range of deviation in motion planning. Both the results such as path length and time taken to reach the target is recorded and shown in respective tables.

Originality/value

After literature survey, it may be said that most of the approach is implemented on either mathematical convergence or in mobile robot, but real-time experimental authentication is not obtained. With a lack of clear evidence regarding use of MGWO (modified grey wolf optimization) controller for navigation of mobile robots in both the environment, such as in simulation platform and real-time experimental platforms, this work would serve as a guiding link for use of similar approaches in other forms of robots.

Details

International Journal of Intelligent Unmanned Systems, vol. 11 no. 2
Type: Research Article
ISSN: 2049-6427

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Book part
Publication date: 6 February 2023

Amartya Pani and Pulak Mishra

While rapid increase in demand for foods but limited availability of croplands has forced to adopt input-intensive farming practices to increase yield, there are serious long-term…

Abstract

While rapid increase in demand for foods but limited availability of croplands has forced to adopt input-intensive farming practices to increase yield, there are serious long-term ecological implications including degradation of biodiversity. It is increasingly recognised that ensuring agricultural sustainability under the changing climatic conditions requires a change in the production system along with necessary policies and institutional arrangements. In this context, this chapter examines if climate-smart agriculture (CSA) can facilitate adaptation and mitigation practices by improving resource utilisation efficiency in India. Such an attempt has special significance as the existing studies have very limited discussions on three main aspects, viz., resource productivity, adaptation practices and mitigation strategies in a comprehensive manner. Based on insights from the existing studies, this chapter points out that CSA can potentially make significant contribution to enhancing resource productivity, adaptation practices, mitigation strategies and food security, especially among the land-constrained farmers who are highly prone to environmental shocks. In this connection, staggered trench irrigation structure has facilitated rainwater harvesting, local irrigation and livelihood generation in West Bengal. However, it is necessary to revisit the existing approaches to promotion of CSA and dissemination of information on the design of local adaptation strategies. This chapter also proposes a change in the food system from climate-sensitive to CSA through integration of technologies, institutions and policies.

Details

The Impact of Environmental Emissions and Aggregate Economic Activity on Industry: Theoretical and Empirical Perspectives
Type: Book
ISBN: 978-1-80382-577-9

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Article
Publication date: 7 October 2022

Ipsit Kumar Dhal, Saroj Kumar and Dayal R. Parhi

This study aims to modify a nature-based numerical method named the invasive weed optimization (IWO) method for mobile robot path planning in various complex environments.

87

Abstract

Purpose

This study aims to modify a nature-based numerical method named the invasive weed optimization (IWO) method for mobile robot path planning in various complex environments.

Design/methodology/approach

The existing IWO method is quick in converging to a feasible solution but in a complex environment; it takes more time as well as computational resources. So, in this paper, the computational part of this artificial intelligence technique is modified with the help of recently developed evolution algorithms like particle swarm optimization, genetic algorithm, etc. Some conditional logic statements were used while doing sensor-based mapping for exploring complex paths. Implementation of sensor-based exploration, mathematical IWO method and prioritizing them for better efficiency made this modified IWO method take complex dynamic decisions.

Findings

The proposed modified IWO is better for dynamic obstacle avoidance and navigating a long complex map. The deviation of results in simulation and experiments is less than 5.5%, which validates a good agreement between simulation and real-time testing platforms.

Originality/value

As per a deep literature review, it has found that the proposed approach has not been implemented on the Khepera-III robot for smooth motion planning. Here a dynamic obstacle mapping feature is implemented. A method to selectively distribute seeds instead of a random normal distribution is also implemented in this work. The modified version of IWO is coded in MATLAB and simulated through V-Rep simulation software. The integration of sensors was done through logical conditioning. The simulation results are validated using real-time experiments.

Details

International Journal of Intelligent Unmanned Systems, vol. 12 no. 1
Type: Research Article
ISSN: 2049-6427

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Article
Publication date: 1 June 2012

Ruchika Gahlot and Saroj Kumar Datta

The purpose of this paper is to examine the impact of the future of trading on volatility as well as the efficiency of the stock market of BRIC (Brazil, Russia, India and China…

1599

Abstract

Purpose

The purpose of this paper is to examine the impact of the future of trading on volatility as well as the efficiency of the stock market of BRIC (Brazil, Russia, India and China) countries. This study also investigates the presence of day‐of‐the‐week effect in BRIC countries' stock market.

Design/methodology/approach

This study uses closing prices of IBrx‐50 for Brazil, RTSI for Russia, Nifty for India and CSI300 for China to represent the stock market of BRIC countries. The Run and ACF tests are used to see impact on market efficiency. GARCH M model is used to see the impact on volatility and day‐of‐the week effect.

Findings

The insignificant coefficient of variance in the conditional mean equation of GARCH M implies that the market doesn't provide higher returns during the high volatility period. The results of the Run test showed that the Russian stock market became efficient after introduction of future trading. However, ACF showed no effect of introduction of future trading on autoregressiveness of stock returns. The result of GARCH M indicates that future trading led to reduction in the volatility of the Indian stock market. There are some evidences of presence of day‐of‐the‐week effect in the Indian stock market.

Practical implications

This paper will help regulators to form appropriate policies as the market would have to pay a certain price, such as loss of market efficiency, for the sake of market stabilization. This will also help investors to make investment decisions, especially investing in these indices as the existence of the significant day‐of‐the‐week effect and the inefficiency in the stock market would be very useful for developing investment strategies.

Originality/value

This paper will be useful for both investors and regulators in decision making.

Details

Studies in Economics and Finance, vol. 29 no. 2
Type: Research Article
ISSN: 1086-7376

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Article
Publication date: 26 April 2022

Manogna R.L. and Aswini Kumar Mishra

This article attempts to understand the pattern of credit (loan) among agricultural households and identify the correlates of their access to institutional credit for policy…

286

Abstract

Purpose

This article attempts to understand the pattern of credit (loan) among agricultural households and identify the correlates of their access to institutional credit for policy imperatives. It also focuses on the inclusivity of institutional credit and debt pattern in terms of outstanding loan in the southern region of India.

Design/methodology/approach

This study employs the Tobit model along with the Heckman selection model to study the impact of various factors on the institutional borrowing and the amount outstanding.

Findings

The findings reveal that the access to credit is strongly associated with the socio-economic and demographic characteristics of agricultural households in South India. Asset position of households and size of holding are positively related with the probability of household having access to institutional credit. Education and family size are also found to be associated with higher access to formal credit. On the other hand, the socially disadvantaged households have lower access to formal credit. Similarly, other variables – assets, holding size and education – are associated with higher credit per household.

Research limitations/implications

The findings indicate that the strategies to develop agriculture in southern India must encompass efforts to bring the small and marginal farmers under the coverage of institutional credit.

Originality/value

There are very few studies that have explored the credit access in South India from the perspective of land class despite the government’s attempts to include small and marginal farmers in the ambit of formal financial services.

Details

International Journal of Social Economics, vol. 49 no. 9
Type: Research Article
ISSN: 0306-8293

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Article
Publication date: 15 August 2024

Vandana Sehgal

The present study examines the determinants of households’ access to agricultural credit through institutional and non-institutional sources. The study evaluates the role of…

56

Abstract

Purpose

The present study examines the determinants of households’ access to agricultural credit through institutional and non-institutional sources. The study evaluates the role of gender of the borrowers in accessing credit in rural India. Further, the paper also studies the impact of institutional variables in determining rural households’ access to credit.

Design/methodology/approach

The study used a multinomial logit model to identify the different factors that determine a farmer’s access to different credit sources.

Findings

The study reveals that substantial proportions of rural households do not access credit through any of the sources and the situation is very grim for the female-headed households (FHHs). The study highlights the importance of demographic, farm and institutional variables in determining households’ access to credit. Institutional variables significantly enhance rural credit access but favor male-headed households (MHHs). It highlights the need for policy intervention to target the specific needs of female borrowers. Further, the study also highlights the importance of adequate credit policy measures to address farmers’ vulnerability to natural disasters, mainly droughts.

Originality/value

The results of the study are based on recent unit-level data from the 77th Round of the National Sample Survey Organization (NSSO) survey. The survey covers a large number of farm households and reports information for the year 2018–2019.

Peer review

The peer review history for this article is available at https://publons.com/publon/10.1108/IJSE-08-2022-0552

Details

International Journal of Social Economics, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0306-8293

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Case study
Publication date: 3 November 2020

Mithilesh Pandey and Rajesh Poonia

The learning outcomes are as follows: to familiarize students with the concept of segmentation, targeting and positioning; to make students understand the need and process of…

Abstract

Learning outcomes

The learning outcomes are as follows: to familiarize students with the concept of segmentation, targeting and positioning; to make students understand the need and process of building a brand; to help students to identify the market gap and meet customer’s requirement by delivering the right value proposition; and to examine the feasibility of business opportunity, develop a business plan and run a successful firm.

Case overview/synopsis

This case is about the quest of three MBA students who accidentally get into argument about footwear brands. This argument leads them to Punjabi ethnic footwear popularly known as “Punjabi Jutti.” They decide to understand the background of “Punjabi Jutti” and the possibility of developing a brand for the same. An extensive research was carried out through the various online and offline platforms. The research included searching through the existing literature, collecting data from the various online platforms such as e-commerce websites and interviews from the field. The research revealed that this traditional artwork is an unorganized sector. The manufacturers and marketers are two main parts of this business. However, the mainstay of the business is the skilled labors who know the art of making “Punjabi Jutti.” This art has been inherited by them from their previous generations. Also, it was found that there was good demand of the “Punjabi Jutti” in India and it was exported to various countries as well. Customers had a mix response toward these products. This extensive research has now put these students in a dilemma as to what should be the next step. Should they step into this business by creating their own brand? Will this entrepreneurship venture be sustainable? If they created a brand for the “Punjabi Jutti” then what kind of brand it would be?

Complexity academic level

Post graduate, entrepreneurs.

Supplementary materials

Teaching Notes are available for educators only.

Subject code

CSS 3: Entrepreneurship.

Details

Emerald Emerging Markets Case Studies, vol. 10 no. 4
Type: Case Study
ISSN: 2045-0621

Keywords

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Article
Publication date: 23 August 2022

Shiladitya Dey, Piyush Kumar Singh and Megha Deepak Mhaskar

The study assesses the relationship between institutional credit access and farmer satisfaction using contextual mediating and moderating variables. This study identifies various…

655

Abstract

Purpose

The study assesses the relationship between institutional credit access and farmer satisfaction using contextual mediating and moderating variables. This study identifies various socioeconomic, service features and service quality determinants impacting institutional credit access.

Design/methodology/approach

The authors used the stratified random sampling method and selected 512 farmers from 40 villages in Maharashtra, India. Initially, the study employed probit regression analysis to identify the credit adoption determinants. Subsequently, the relationship between institutional credit and farmer satisfaction is identified through moderated-mediation analysis using the Statistical Package for the Social Sciences and Analysis of a Moment Structures (SPSS - AMOS model).

Findings

Probit model's results suggest that socioeconomic variables like education and bank distance; service quality variables like prompt service and employee behavior; and service characteristics variables like the interest rate, loan sanction time, repayment period, and documents for loan application significantly affect institutional credit adoption across the smallholders. Subsequently, the results of the moderating-mediation analysis show that working capital, perceived value and risk perception partially mediate the association between credit adoption and farmer satisfaction. The mediated effects are further moderated by farm advisory services and financial knowledge and skills.

Research limitations/implications

The study is restricted in opportunity due to primary data, and it considers only farmers' perspectives to measure service quality and service features as constraints for institutional credit access.

Practical implications

The government, nongovernment organizations, civil societies and private institutions should provide sufficient financial knowledge and training to the farmers via extension services to utilize the borrowed capital effectively to bring economic welfare and mental satisfaction.

Originality/value

The existing literature rarely considered banking service quality and service features (demand side) variables as determinants of credit access. Further, the study brings novelty in examining how the capital management cognitive factors of the formal credit adopters influence the relationship between credit access and satisfaction.

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