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1 – 10 of 78Prakash Chandra Sahu, Ramesh Chandra Prusty and Sidhartha Panda
The paper has proposed to implement gray wolf optimization (GWO)-based filter-type proportional derivative with (FPD) plus (1+ proportional integral) multistage controller in a…
Abstract
Purpose
The paper has proposed to implement gray wolf optimization (GWO)-based filter-type proportional derivative with (FPD) plus (1+ proportional integral) multistage controller in a three-area integrated source-type interlinked power network for achieving automatic generation control.
Design/methodology/approach
For analysis, a three area interconnected power system of which each area comprises three different generating units where thermal and hydro system as common. Micro sources like wind generator, diesel generator and gas unit are integrated with area1, area2 and area3 respectively. For realization of system nonlinearity some physical constraints like generation rate constraint, governor dead band and boiler dynamics are effected in the system.
Findings
The supremacy of multistage controller structure over simple proportional integral (PI), proportional integral, derivative (PID) and GWO technique over genetic algorithm, differential evolution techniques has been demonstrated. A comparison is made on performances of different controllers and sensitivity analysis on settling times, overshoots and undershoots of different dynamic responses of system as well as integral based error criteria subsequent a step load perturbation (SLP). Finally, sensitive analysis has been analyzed by varying size of SLP and network parameters in range ±50 per cent from its nominal value.
Originality/value
Design and implementation of a robust FPD plus (1 + PI) controller for AGC of nonlinear power system. The gains of the proposed controller are optimized by the application of GWO algorithm. An investigation has been done on the dynamic performances of the suggested system by conducting a comparative analysis with conventional PID controller tuned by various optimization techniques to verify its supremacy. Establishment of the robustness and sensitiveness of the controller by varying the size and position of the SLP, varying the loading of the system randomly and varying the time constants of the system.
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Sonalika Mishra, Suchismita Patel, Ramesh Chandra Prusty and Sidhartha Panda
This paper aims to implement a maiden methodology for load frequency control of an AC multi micro-grid (MG) by using hybrid fractional order fuzzy PID (FOFPID) controller and…
Abstract
Purpose
This paper aims to implement a maiden methodology for load frequency control of an AC multi micro-grid (MG) by using hybrid fractional order fuzzy PID (FOFPID) controller and linear quadratic Gaussian (LQG).
Design/methodology/approach
The multi MG system considered is consisting of photovoltaic, wind turbine and a synchronous generator. Different energy storage devices i.e. battery energy storage system and flywheel energy storage system are also integrated to the system. The renewable energy sources suffer from uncertainty and fluctuation from their nominal values, which results in fluctuation of system frequency. Inspired by this difficulty in MG control, this research paper proposes a hybridized FOFPID and LQG controller under random and stochastic environments. Again to confer viability of proposed controller its performances are compared with PID, fuzzy PID and fuzzy PID-LQG controllers. A comparative study among all implemented techniques i.e. proposed multi-verse optimization (MVO) algorithm, particle swarm optimization and genetic algorithm has been done to justify the supremacy of MVO algorithm. To check the robustness of the controller sensitivity analysis is done.
Findings
The merged concept of fractional calculus and state feedback theory is found to be efficient. The designed controller is found to be capable of rejecting the effect of disturbances present in the system.
Originality/value
From the study, the authors observed that the proposed hybrid FOPID and LQG controller is robust hence, there is no need to reset the controller parameters with a large change in network parameters.
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Anurag Pandey, Ramesh Chandra Keshri and Yogesh Kumar
This paper aims to develop a good quality pork sandwich spread incorporated with different levels of antioxidant mixture [butylated hydroxyanisole (BHA) + butylated hydroxytoluene…
Abstract
Purpose
This paper aims to develop a good quality pork sandwich spread incorporated with different levels of antioxidant mixture [butylated hydroxyanisole (BHA) + butylated hydroxytoluene (BHT); 1:1] and to assess sensory, physico-chemical and microbiological properties of frozen product during storage.
Design/methodology/approach
Three levels of antioxidant mixture (BHA + BHT; 1:1) i.e. 100, 200 and 400 ppm were tried, and the product was compared for physico-chemical, microbiological and sensory properties along with the control during frozen storage (−18 ± 1°C).
Findings
pH and water activity decreased significantly (p < 0.05), whereas water holding capacity, 2-thiobarbituric acid reacting substances value, total plate count and psychrotrophic count increased significantly (p < 0.05) during storage period. No coliform, yeast and molds were detected throughout the study period. There was non-significant (p < 0.05) effect of antioxidant treatment on the scores of colour, texture, juiciness, adhesion ability and spreadability, but scores for flavour and overall acceptability significantly (p < 0.05) increased.
Research limitations/implications
Pork sandwich spread is envisaged to help in providing nutrition to a large section of needy population and will add a new dimension to the convenience foods.
Originality/value
Antioxidant mixture (BHA + BHT, 1:1) treatment improved the sensory and microbiological properties of pork sandwich spread at frozen storage (−18 ± 1°C). At the end of storage period (60 days), the pork sandwich spread was found safe for human consumption. Hence, BHA and BHT antioxidant mixture could be used to improve quality attributes of meat products during storage.
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Pooja Singh Negi and Ramesh Chandra Dangwal
Various scams and swindles in banks demand effective supervision and competent workforce, as it involves with workplace accountability and undertaking customer support services…
Abstract
Purpose
Various scams and swindles in banks demand effective supervision and competent workforce, as it involves with workplace accountability and undertaking customer support services. The purpose of this paper is to examine the managerial effectiveness of selected public, private and foreign banks in India.
Design/methodology/approach
In total, 467 questionnaires from (middle and top-level) managers of (five public, five private and five foreign banks) fifteen banks have been considered. The descriptive statistics, t-test and ANOVA are used to differentiate each sector of banks.
Findings
The significant difference denoted in terms of managerial effectiveness among banks. The results revealed that managers of public banks are action-oriented and receptive to feedback, whereas the manager of private sector banks embodies self-disclosure and perceptiveness. The correlates, namely, action-orientation, self-disclosure and receptivity to feedback evident significant among foreign banks.
Practical implications
The consideration and application of such correlates would surely help managers, decision-makers and practitioners to enhance their effectiveness. Human resource professionals can use these results to develop programmes and policies for better management.
Originality/value
The study is imperative as it compares the behaviour of managers of public, private and foreign banks individually. The findings demonstrate that correlates of managerial effectiveness significantly differ among the banks.
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The purpose of this paper is to test the export‐led growth hypothesis for South Asia, a diverse region consisting of one large country, India, surrounded by a number of medium and…
Abstract
Purpose
The purpose of this paper is to test the export‐led growth hypothesis for South Asia, a diverse region consisting of one large country, India, surrounded by a number of medium and small countries such as Pakistan, Bangladesh, Sri Lanka, Nepal, Bhutan and Maldives.
Design/methodology/approach
To test this, the study employs cointegration and error‐correction modelling, using data from the International Financial Statistics of the IMF.
Findings
The study produces fairly mixed results, and does not find any conclusive evidence in favour of export‐led growth. While India, Maldives and Nepal exhibit export‐led growth, Bangladesh and Bhutan show the opposite result of growth‐led exports. In Pakistan and Sri Lanka no causality in either direction was found. The mixed nature of the results is further confirmed by taking a common time period since 1980.
Practical implications
South Asia is one of the poorest regions of the world; so success or otherwise of export‐led growth is of great interest for policy purposes. For example, the finding of export‐led growth for the largest economy of the region, India, is particularly heartening as, by opening up its markets further to the other countries of the region, it can fuel growth in the entire region.
Originality/value
This study tries to fill an important gap in the literature as it is the first comprehensive study of the region as a whole.
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Allyn Young was, and continues to be, a much misunderstood economist. He was a profound thinker and so much ahead of his times that it is doubtful that even today we have grasped…
Abstract
Allyn Young was, and continues to be, a much misunderstood economist. He was a profound thinker and so much ahead of his times that it is doubtful that even today we have grasped the full import of what he said. This paper examines Young's thinking from the perspective of five different schools and brings out a clearer picture of Young. Young's analysis of endogenous growth retains its relevance for the contemporary problems facing developing countries today. Also, seen from the Youngian perspective scarcity becomes an opportunity. This has the potential to transform the discipline of economics itself – from the economics of scarcity to the economics of opportunity.
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Ramesh Chandra, Reethika S Iyer and Ramakrishnan Raman
The purpose of this study was to understand the knowledge sharing in projects based on knowledge flow patterns. The impact of attrition, thereby leading to a loss of tacit…
Abstract
Purpose
The purpose of this study was to understand the knowledge sharing in projects based on knowledge flow patterns. The impact of attrition, thereby leading to a loss of tacit knowledge, inability to capture and reuse knowledge and inability to understand the knowledge flow patterns, which leads to lack of structured workspace collaboration, are frequently faced challenges in organizations. The change in knowledge sourcing behaviors by the current generation workforce has a high reaching impact in driving collaboration among employees.
Design/methodology/approach
This paper attempts to study this impact and identify means to improve the effectiveness of collective knowledge sharing via social computing platforms. As part of this study, customized solutions are devised based on knowledge flow patterns prevalent in teams. Knowledge network analysis (KNA), a socio-metric analysis, is performed to understand knowledge flow patterns among employees in a team which helps understand the relationships between team members with respect to knowledge sharing. KNA helps in understanding ties and interactions between human and system resources.
Findings
Significant changes were observed in knowledge sourcing and sharing behaviors. Capture of the tacit knowledge of employees further resulted in reducing the impact of knowledge attrition. For instance, targeted communities of practice (CoPs) based on the presence of cliques within teams enabled teams to complete projects effectively and efficiently.
Practical implications
The results are used to identify push and pull networks to enable effective knowledge management (KM). Results of this study reveal that analyzing knowledge flow patterns in a team and deploying a customized social computing platform that is tailored to address the needs of specific knowledge flow patterns within that team, significantly enhances collaborative sharing as opposed to a standardized “one-size-fits-all” platform.
Originality/value
This paper is an original creation after research by the authors for a continuous assessment of KM within the organization.
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David Manry and David Stangeland
This research uses accounting information to supplement abnormal returns evidence in order to gauge the performance of greenmailed firms. Our results support the management…
Abstract
This research uses accounting information to supplement abnormal returns evidence in order to gauge the performance of greenmailed firms. Our results support the management entrenchment hypothesis; target firm earnings are poor relative to industry in the years surrounding the greenmail event, and earnings do not significantly improve as would be expected under the shareholders' interest hypothesis. This result holds after adjusting for greenmail premia net of tax effects. Evidence on investment spending suggests firms that pay greenmail differ substantially from their industries, but in a negative direction. In contrast, the industry‐adjusted earnings of non‐greenmail repurchasing firms are significantly greater than the earnings of greenmailed firms. Together, these results are consistent with the contention that greenmailed firms are not managed in shareholders' interests; they underperform their industry, the poor operating results are not attributable to higher investment outlays associated with a long‐term strategic focus, and performance does not improve. This is consistent with observed negative abnormal returns being attributable to both a lost takeover premium and a lost opportunity for improved corporate performance.
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Discusses the application of decision support systems (DSS) to assist in solving marketing decisions. As the marketing environment becomes more competitive the pressure to gain…
Abstract
Discusses the application of decision support systems (DSS) to assist in solving marketing decisions. As the marketing environment becomes more competitive the pressure to gain the “edge” over your competitors becomes more intense. Marketing decision support systems (MDSS) are valuable tools to assist in making marketing decisions to do just that! MDSS can be used to support, rather than replace, decision makers in the complex, semi or unstructured situations which are common in marketing problems. They incorporate the personal judgement and experience of the user to improve the effectiveness, rather than the efficiency of decision making. This means that managers will have more “quality” time to spend on analysis and planning for the future, rather than merely reflecting on the past. Discusses different types of DSS within an environment where there are discrepancies over definition, jargon and suppliers’ claims.
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