Identification of Nonlinear Systems From the Knowledge Around Different Operating Conditions: A Feed-Forward Multi-Layer ANN Based Approach

The paper investigates nonlinear system identification using system output data at various linearized operating points. A feed-forward multi-layer Artificial Neural Network (ANN) based approach is used for this purpose and tested for two target applications i.e. nuclear reactor power level monitoring and an AC servo position control system. Various configurations of ANN using different activation functions, number of hidden layers and neurons in each layer are trained and tested to find out the best configuration. The training is carried out multiple times to check for consistency and the mean and standard deviation of the root mean square errors (RMSE) are reported for each configuration.Comment: "6 pages, 9 figures; The Second IEEE International Conference on Parallel, Distributed and Grid Computing (PDGC-2012), December 2012, Solan

REDEFINING THE ROLE OF ASHA WORKERS IN INDIAN HEALTHCARE

Community health professionals are critical in filling the gap between traditional healthcare systems and marginalized populations. Accredited Social Health Activists (ASHA) workers have been an important workforce in providing essential healthcare services to rural and marginalized communities. ASHA workers have emerged as a cornerstone of India\u27s healthcare system, playing a pivotal role in bridging the gap between rural and marginalized communities and formal healthcare services. There is a need for expansion of the working of ASHAs to utilize them more efficiently. Through enhanced training, technological integration, and policy support, ASHA workers can transform into empowered agents of change, ensuring equitable healthcare access for all. Mobile applications for data collection, telemedicine for remote consultations, and AI-powered tools for diagnosis can enhance their capabilities and improve the accuracy of healthcare services. Reimagining the role of ASHA workers requires supportive policies and increased advocacy efforts. Adequate compensation, formal recognition, and regular skill upgradation should be integral to their roles. Engaging with policymakers and stakeholders can ensure that their voices are heard at the policy level. This review article aims to critically examine the existing role of ASHA workers, analyze their challenges and successes, and propose innovative strategies to reimagine their role in the Indian healthcare sector. By synthesizing current literature and drawing insights from various sources, this article highlights the potential for ASHA workers to contribute significantly to community-based healthcare delivery, health education, and disease prevention

Review on Garbha Sanskar and its Role in Mental Development of Children

Garbha sanskar in Ayurveda described as specific conducts which are to be followed by pregnant women to acquire healthy pregnancy and giving birth of a healthy baby. The term Garbha sanskar related with the education of women who has baby in her womb and this conducts contributed towards the success of pregnancy. Traditionally it is believed that the mental and behavioral development of child starts from the intrauterine stage. Therefore it is essential to put maximum effort during this stage to ensure complete physical and mental built up of child. The personality of baby begins to take shape in the womb; moreover the physical and mental constitution of children is greatly affected by the mother's state of mind during pregnancy. The concept of Garbha sanskar helps to keep mother’s mind healthy thereby imparts positive benefits towards the mental development of baby present inside the mother's uterus. Considering these all facts present article summarizes concepts of Garbha Sanskar and its role in the mental development of unborn child

Leveraging Distributional Bias for Reactive Collision Avoidance under Uncertainty: A Kernel Embedding Approach

Many commodity sensors that measure the robot and dynamic obstacle's state have non-Gaussian noise characteristics. Yet, many current approaches treat the underlying-uncertainty in motion and perception as Gaussian, primarily to ensure computational tractability. On the other hand, existing planners working with non-Gaussian uncertainty do not shed light on leveraging distributional characteristics of motion and perception noise, such as bias for efficient collision avoidance. This paper fills this gap by interpreting reactive collision avoidance as a distribution matching problem between the collision constraint violations and Dirac Delta distribution. To ensure fast reactivity in the planner, we embed each distribution in Reproducing Kernel Hilbert Space and reformulate the distribution matching as minimizing the Maximum Mean Discrepancy (MMD) between the two distributions. We show that evaluating the MMD for a given control input boils down to just matrix-matrix products. We leverage this insight to develop a simple control sampling approach for reactive collision avoidance with dynamic and uncertain obstacles. We advance the state-of-the-art in two respects. First, we conduct an extensive empirical study to show that our planner can infer distributional bias from sample-level information. Consequently, it uses this insight to guide the robot to good homotopy. We also highlight how a Gaussian approximation of the underlying uncertainty can lose the bias estimate and guide the robot to unfavorable states with a high collision probability. Second, we show tangible comparative advantages of the proposed distribution matching approach for collision avoidance with previous non-parametric and Gaussian approximated methods of reactive collision avoidance

Material Removal Rate, Electrode Wear Rate, and Surface Roughness Evaluation in Die Sinking EDM with Hollow Tool through Response Surface Methodology

Electrical discharge machining is one of the earliest nontraditional machining, extensively used in industry for processing of parts having unusual profiles with reasonable precision. In the present work, an attempt has been made to model material removal rate, electrode wear rate, and surface roughness through response surface methodology in a die sinking EDM process. The optimization was performed in two steps using one factor at a time for preliminary evaluation and a Box-Behnken design involving three variables with three levels for determination of the critical experimental conditions. Pulse on time, pulse off time, and peak current were changed during the tests, while a copper electrode having tubular cross section was employed to machine through holes on EN 353 steel alloy workpiece. The results of analysis of variance indicated that the proposed mathematical models obtained can adequately describe the performances within the limits of factors being studied. The experimental and predicted values were in a good agreement. Surface topography is revealed with the help of scanning electron microscope micrographs.</jats:p

Reduction of rejection of cylinder blocks in a casting unit: A six sigma DMAIC perspective

Six-Sigma approach is a systematic and scientific operations management methodology aimed at achieving major enhancements in production process through the elimination of waste. In this case, a casting unit manufacturing cylinder blocks has been selected which was experiencing a rejection rate as high as 30% due to formation of blowholes, other than the surface. The main objective of this paper is to identify various causes of occurrence of blow-holes and recommend corresponding remedies to counter these defects by systematic imple-mentation of DMAIC cycle. Both preventive and corrective actions have been recommended to reduce the blowholes and overall improvement is validated through two-proportion test. Results of investigation demonstrated the net significant reduction of blowholes defect from 28,111 to 9,708 parts per million, which results in the net annual savings of INR 12,56,640

Burden of anxiety in Adolescent: A community-based study in Western Uttar Pradesh

Background: Anxiety is a prevalent issue among adolescents and can adversely affect their academic performance and everyday functioning. Aims &amp; Objectives: To estimate the prevalence of anxiety among adolescents in urban and rural areas and to study the socio-demographic correlates of anxiety among adolescents in urban and rural areas. Methods: A comprehensive survey was conducted in the field practice area of Department of Community Medicine of a Medical College in western district of Uttar Pradesh. The survey was aimed at young people between the ages of 10 and 19 who lived in the practice area of the medical college. Result: The burden of anxiety was observed to be 19.6 % (n=92). Female gender, urban residence, early adolescent age-group (10-13 yr), nuclear family, day-time somnolence and family history of mental illness were factors having statistical significance. Poor education level of parents was also statistically significant. Physical activity and substance abuse did not have significant contribution in burden of anxiety. Conclusion: Anxiety in adolescents is a significant issue influenced by various factors. Early intervention and support are crucial