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The brushless direct current motor (BLDCM) is widely accepted and adopted by many industries instead of direct current motors due to high reliability during operation. Brushless direct current (BLDC) has outstanding efficiency as losses that arise out of voltage drops at brushes and friction losses are eliminated. The main factor that affects the performance is temperature introduced in the internal copper core windings. The control of motor speed generates high temperature in BLDC operation. The high temperature is due to presence of ripples in the operational current. The purpose is to present an effective controlling mechanism for speed management and to improve the performance of BLDCM to activate effective management of speed.

The purpose is to present an optimal algorithm based on modified moth-flame optimization algorithm over recurrent neural network (MMFO-RNN) for speed management to improve the performance. The core objective of the presented work is to achieve improvement in performance without affecting the design of the system with no additional circuitry. The management of speed in BLDCM has been achieved through reduction or minimization of ripples encircled with torque of the motor. The implementation ends in two stages, namely, controlling the loop of torque and controlling the loop of speed. The MMFO-RNN starts with error optimization, which arises from both the loops, and most effective values have been achieved through MMFO-RNN protocol.

The parameters are enriched with Multi Resolution Proportional Integral and Derivative (MRPID) controller operation to achieve minimal ripples for the torque of BLDC and manage the speed of the motor. The performance is increased by adopting this technique approximately 12% in comparison with the existing methodology, which is the main contributions of the presented work. The outcomes are analyzed with the existing methodologies through MATLAB Simulink tool, and the comparative analyses suggest that better performance of the proposed system produces over existing techniques, and proto type model is developed and cross verifies the proposed system.

The MMFO-RNN starts with error optimization, which arises from both the loops, and most effective values have been achieved through MMFO-RNN protocol. The parameters are enriched with MRPID controller operation to achieve nil or minimal ripples and to encircle the torque of Brushless Direct Current and manage the speed.

It is well-known that women scientists are few in numbers in prestigious research organizations and still fewer in leadership positions. The purpose of this article is to analyze how organizational gender inequality is rationalized by scientists so as to highlight how discourse on equality reproduces gender at the workplace.

Data was collected through semi-structured face-to-face interviews with the scientists in four research laboratories dealing with medicinal drugs and chemical substances. It uses discourse analysis by Foucault as a theoretical lens to examine how gender inequality is rationalized and the power relations behind it. It adopts the perspective that socio-cultural beliefs form the basis of gendered practices in organizations.

It finds that the scientists refuse to blame the organization for inequalities by delinking gender issues from the organizational domain. This delinking occurs through rationalizing gender inequality as “social”, through separating informal behavior from the “system” and perceiving women as “privileged”. Such discourses while keeping intact the rationality and meritocracy of the organizations/institutions, reproduce the ideological “public-private dichotomy” and the male dominance at the workplace.

The findings indicate the need for extensive studies in India highlighting how gender is done in organizations, exploring men's role in undoing gender and government initiatives to create a climate of gender equality.

It highlights how discourse on gender equality/inequality at the workplace manifests dominance of men and represents an intersection of Indian social, organizational and institutional contexts at workplace. It also calls into question the applicability of the western concepts of “individualization” and “gender fatigue” to the Indian context.