Browsing by Author "Srinivasan, S."

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Design of twin-rod flow mode magneto rheological damper for prosthetic knee application
(2019) Tak, R.S.S.; Kumar, H.; Chandramohan, S.; Srinivasan, S.
In the present study, a twin-rod magneto rheological (MR) damper working in flow mode is designed. The piston core, annular fluid gap, outer sleeve, and the outer cylinder forms the magnetic flow path. A nonlinear constrained optimization problem is formulated to obtain the geometric dimensions of the piston assembly. The flow mode equations of the damper and the electromagnetic circuit design equations, assuming constant magnetic field links are coupled together to form an optimization problem. The design torque and angular velocity requirements of the normal human knee are converted to damping forces and linear velocity using the knee and damper geometry based on the previous study. The damping force design constraints and the constraints related to current requirements and magnetic field saturation are imposed. The obtained optimum dimensions of the piston assembly yielded an off state damping force of 56.8 N and a maximum on-state damping force of 1582 N at a current of 1.6 A for a design velocity of 0.1 m/s. Magnetostatic analysis of the piston assembly using the optimized dimensions is performed which showed that the annular gap is exposed to a field of 0.6 T, as assumed and the piston core is subjected to a field of 1.8 T which is below the saturation limit of the core material. � 2019 Author(s).
Pod Scheduling and Proactive Resource Management in an Edge Cluster using MCDM and Federated Learning
(Springer Science and Business Media B.V., 2025) Kumar, N.K.; B, A.; J, H.; Srinivasan, S.; Sand, S.S.
Edge computing, which locates computational resources closer to the data sources, has become crucial in meeting the demands of applications that need high bandwidth and low latency. To cater to edge computing scenarios, KubeEdge, an extension of Kubernetes(K8s), expands its capabilities to meet edge-specific requirements such as limited resources, irregular connections, and heterogeneous environments. Edge trace data cannot be shared between cloud providers because of privacy issues, which makes generic distributed training ineffective. However, even with edge computing’s potential advantages, the built-in scheduling algorithms have several drawbacks. A significant problem is the lack of efficient resource management and allocation mechanisms at the edge, which causes edge nodes to be underutilized or overloaded which leads to violation of Quality of Service(QoS) and inefficient utilization of resources leads to Service Level Agreement(SLA) violations. In this regard, VIKOR and ELECTRE III based pod scheduling strategy is proposed in this paper and evaluated using Wikipedia and NASA server workload. The experimental results shows that 50% reduction in standard deviation for ELECTRE III and 40% reduction in standard deviation for VIKOR against default scheduler of Kubernetes. The average response time of 30.6593ms and 31.8803ms is achieved for Electre III and VIKOR for Wikipedia dataset. A proactive resource management system is proposed for KubeEdge containerized services where it incorporates a federated learning framework to predict future workloads using the Bidirectional Long Short-Term Memory (Bi-LSTM) and Gated Recurrent Unit (GRU). The experimental comparison of federated learning shows 99.65%, 98.64% reduction in MSE for CPU utilization % and 89.72%, 76.57% reduction in MSE for Memory utilization % with respect to GRU and BI-LSTM models in contrast to centralized learning. The proposed approach effectiveness is evaluated through statistical techniques and found significant. © The Author(s), under exclusive licence to Springer Nature B.V. 2025.
Technology, demand and innovation capability of Indian MSMEs
(2019) Srinivasan, S.; Kunjangad, K.
The Micro, Small and Medium enterprises (MSMEs) today constitute a very important segment of the Indian economy. The growth of this sector came about largely due to the vision of Government policies framed right after Indian Independence. MSME sector has emerged as an energetic and vibrant sector of the economy. As per the fourth census of MSMEs report published in 2012, the total numbers of MSMEs in India are 36 million employing over 80 million people. It is the second largest employer after agriculture accounting for 72% services and 28% manufacturing jobs. It also accounts for 45 % of total industrial production, 40% of total exports and contributes very significantly to the GDP. Manufacturing segment within the MSME contributes to 7.09% of GDP. The benefits of MSMEs have created a special status and importance in the Five-Year Plans right from its inception. In recent years, the MSME sector has consistent higher growth rate compared to the overall industrial sector. Despite its commendable contribution to the country's economy, MSME Sector is not getting the required support and faces numerous dilemmas. This is a research paper which aims at developing a framework taking into account efficient demand marketing and innovation strategy performances. The paper also presents the results of the pilot study undertaken. � 2019 PICMET.
Technology, demand and innovation capability of Indian MSMEs
(Institute of Electrical and Electronics Engineers Inc., 2019) Srinivasan, S.; Kunjangad, K.
The Micro, Small and Medium enterprises (MSMEs) today constitute a very important segment of the Indian economy. The growth of this sector came about largely due to the vision of Government policies framed right after Indian Independence. MSME sector has emerged as an energetic and vibrant sector of the economy. As per the fourth census of MSMEs report published in 2012, the total numbers of MSMEs in India are 36 million employing over 80 million people. It is the second largest employer after agriculture accounting for 72% services and 28% manufacturing jobs. It also accounts for 45 % of total industrial production, 40% of total exports and contributes very significantly to the GDP. Manufacturing segment within the MSME contributes to 7.09% of GDP. The benefits of MSMEs have created a special status and importance in the Five-Year Plans right from its inception. In recent years, the MSME sector has consistent higher growth rate compared to the overall industrial sector. Despite its commendable contribution to the country's economy, MSME Sector is not getting the required support and faces numerous dilemmas. This is a research paper which aims at developing a framework taking into account efficient demand marketing and innovation strategy performances. The paper also presents the results of the pilot study undertaken. Â© 2019 PICMET.