Browsing by Author "Jayan, J."

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AUTOSAR Based Dual Core Partitioning for Power Train Application of BMS
(2019) Jayan, J.; Srinivasan, G.
This project aims to partition the processing load into two cores of a dual core processor on AUTOSAR based systems by analyzing the coupling between different application software components(ASWs). BMS implemented on AUTOSAR based single core processor using in-house developed AUTOSAR stack development tool is the reference for this work. The major part of it is data profiling, in which we find out the coupling between application software components in terms of no of interfaces, memory and task, so that we can effectively partition ASWs to achieve good parallel processing and hence improve the throughput. AUTOSAR layered architecture allows the application development independent of underlying hardware. Migrating to a dual core platform is made more simpler by the in-house developed AUTOSAR stack development tool. � 2019 IEEE.
AUTOSAR Based Dual Core Partitioning for Power Train Application of BMS
(Institute of Electrical and Electronics Engineers Inc., 2019) Jayan, J.; Srinivasan, G.
This project aims to partition the processing load into two cores of a dual core processor on AUTOSAR based systems by analyzing the coupling between different application software components(ASWs). BMS implemented on AUTOSAR based single core processor using in-house developed AUTOSAR stack development tool is the reference for this work. The major part of it is data profiling, in which we find out the coupling between application software components in terms of no of interfaces, memory and task, so that we can effectively partition ASWs to achieve good parallel processing and hence improve the throughput. AUTOSAR layered architecture allows the application development independent of underlying hardware. Migrating to a dual core platform is made more simpler by the in-house developed AUTOSAR stack development tool. Â© 2019 IEEE.
DC-link current based position estimation and speed sensorless control of a BLDC motor used for electric vehicle applications
(De Gruyter Open Ltd, 2021) Febin, F.D.; Jayan, J.; Srinivasan, M.K.; Prabhakaran, P.
Sensors of any kind contribute to extra space and electronics when they are used in any application. Besides, the sensor noise also has the effect of altering the overall gain of the system. This is more prevalent in non-linear systems like motor control. In applications which have strict space constraints like Electric vehicles, the use of sensors must be optimized, which, in turn, gave rise to many sensorless state estimation strategies. This paper proposes a novel sensorless control technique for brushless direct current (BLDC) motor used in electric vehicle applications. The concept of sensorless control in BLDC Motor drive eliminates the hall-effect position sensor, thereby giving better performance and improves the robustness of the overall drive system. The main objective of this work is to estimate the position of the motor at standstill condition using stator saturation effect concerning the rotor, accelerate the motor from standstill so that enough back EMF is generated. This acceleration technique speeds up the motor to a stage where a self-actuating control mechanism is used to generate control signals with back EMF or line voltages. The motor can be started with a load, which is a significant constraint for electric vehicle application. The proposed method will avoid the reverse rotation of the motor. The proposed work is simulated in Matlab/Simulink software, and results obtained show that it works well under dynamic conditions of starting, acceleration and load switching. The hardware setup of the proposed work is developed using the TMS320F2812 DSP processor. Simulation and experimental results validate the effectiveness of the proposed work for electric vehicle application. © 2021 Walter de Gruyter GmbH, Berlin/Boston 2021.
Health Fear Mongering Make People More Sicker: Twitter Analysis in the Context of Corona Virus Infection
(Springer Science and Business Media Deutschland GmbH, 2020) Jayan, J.; Alathur, S.
The purpose of this study is to assess the fear factor in Social media data in the context of Coronavirus Disease - 2019(COVID-19) across the globe. The fear generated from social media content will adversely affect the mental health of the public. Design/methodology/approach: The study is followed by a literature survey during the emergence of social media and Internet technologies since the year 2006 where the people commonly started to use the internet across the world. The Twitter data collected on COVID-19 during the infection period and the analysis. Findings: The social media contents adversely affect the mental health of the common public and also the healthcare programs run by the government organizations to some extent. The findings show that the social media are the major source of fear-mongering information and the people behind the fear-mongering are making use of the disaster situation to set their agenda. The strict enactment of law and the efforts by the social media platforms can reduce the fake news and misinformation. Research limitations/implications: The research focuses only on the Twitter data for the analysis during the COVID-19 distress. The detailed study needs to be done in similar distress situations across the globe. The data retrieval became limited from different social media platforms because of privacy issues. Â© 2020, IFIP International Federation for Information Processing.
Vaccination drive and cyber threats in India
(Association for Computing Machinery, 2020) Jayan, J.; Alathur, S.
Misinformation in social network sites (SNS) is increasing alarmingly and is also affected the healthcare sector especially the developing country like India. The public health programs and the life of people itself are under severe threat. The study is focused on the trends in decreasing vaccination rates in the context of the Measles-Rubella (MR) vaccination drive in India. Twitter data, news reports, and social media posts during the MR vaccination program in India are taken into consideration for the analysis. Vaccine hesitancy has become a global challenge for immunization programs. There are many factors related to vaccine Hesitancy. Based on the methods and study, we had concluded the factors affected the immunization program and suggested the measures to overcome the vaccine hesitancy. The vaccine hesitancy is also associated with political, religious, Psychological and Economic factors in India. These are used by the anti-vaccination campaigners for their vested interests. The vested interests can be propagated during any national or International campaigns and it will get much attention during this time. Social media has been used widely to promote the antivaccination campaign which is supported by misinformation and also the fake news. Â© 2020 ACM.