Lenin SB
@smvec.ac.in
Associate Professor
Sri Manakula Vinayagar Engineering College
Dr. Lenin. SB is currently working as an Associate Professor in the Department of Electronics and Communication Engineering, at Sri Manakula Vinayagar Engineering College. He received a Bachelor of Engineering from Dr. Paul’s Engineering College, a Master of Technology from Sathyabama University, and Ph.D from Sathyabama Institute of Science and Technology. His research areas are Wireless Communication and Wireless Sensor Networks and he has good publications. Professional membership from ISTE, IEI and IAENG
EDUCATION
Bachelor of Engineering (ECE) from Dr. Paul’s Engineering College,
Master of Technology from Sathyabama University, and
Ph.D from Sathyabama Institute of Science and Technology
RESEARCH, TEACHING, or OTHER INTERESTS
Engineering, Computer Networks and Communications, Computer Engineering, Signal Processing
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
N. Tamilarasan, S. B. Lenin, P. Mukunthan, and N. C. Sendhilkumar
Institute of Electrical and Electronics Engineers (IEEE)
S.B. Lenin, G. Srivatsan, G.Azeess Basha, and Z. Aswin
IEEE
Facial recognition technology has been widely used in various industries for identification and tracking purposes. However, the integration of facial recognition with Electrostatic Discharging testers is constrained by data security and privacy issues. To address these concerns, this investigation proposes a federated learning model approach for integrating facial recognition technology with ESD testers. The Integration of Facial recognition with ESD tester using federated learning model with Pre-FedAvg Algorithm preserves data privacy and security by using a distributed learning approach which maintains high accuracy and efficiency of the ESD testing systems. This research evaluates performance of the proposed approach metrics like Accuracy, Precision-recall, and F1 score. Results show that this approach outperforms conventional method while preserving data from various vulnerabilities. The electronic manufacturing industries, quality control departments, and safety monitoring sections are among the key areas of this strategy. It has the potential to revolutionize the way ESD testing is performed and enhances the safety and reliability of electronic devices and new dimensionality of features in factory processes like calculating over time of workers and making ESD proof.
S. B. Lenin and N. Tamilarasan
Springer Science and Business Media LLC
N. Tamilarasan, S. B. Lenin, and L. Nithyanandan
Springer Science and Business Media LLC
Narayanasamy Tamilarasan, S.B. Lenin, N. Jayapandian, and P. Subramanian
Wiley
SummaryWireless sensor networks are significantly used for data sensing and aggregating dusts from a remote area environment in order to utilize them in a diversified number of engineering applications. The data transfer among the sensor nodes is attained through the inclusion of energy efficient routing protocols. These energy efficient routing necessitates optimal cluster head selection procedure for handling the challenge of energy consumption to extend the stability and lifetime in the sensor networks. The implementation of energy efficient routing is still complicated even when the process of clustering is enhanced through the cluster head selection. The majority of the existing cluster head selection schemes suffer from the issues of poor selection accuracy, increased computation, and duplicate nodes' selection. In this paper, hybrid shuffled frog leaping and improved biogeography‐based optimization algorithm (HSFLBOA) for optimal cluster head selection is proposed for resolving issues that are common in cluster head selection schemes. This proposed HSFLBOA used the objective function that used the parameters of node energy, data packet transmission delay, cluster traffic density, and internode distance in the cluster. The simulation results of the proposed HSFLBOA is determined to be significant in achieving superior throughput and network energy compared to benchmarked metaheuristic optimal cluster head schemes.
S.B. Lenin, S. Pushparaj, M. Adithya, S. Murugesan, N. Balaji, and J. Gurupriyan
IOP Publishing
Abstract The medical field plays a vital role in our day-to-day life. In recent years, it achieved a tremendous growth in advancements and technologies. Along with the maladies, the diagnosing and curing techniques are also evolved. Despite these advancements, the death rate due to medical errors has not yet decreased. To reduce these medical errors, we have designed a system which reduces some of the common medical errors such as improper medication timing, under and over dosage of medicines and delay in treatment. This system reminds the patient about their pills using voice message using playback module and speaker and it also dispenses the pills via slot arrangement controlled by stepper motor. If the patient ignores the voice message an SMS alert is sent to the patient’s attender and the caretaker. It also has an emergency subsystem which can be used in case of any emergency situation to the patient and it also allows the caretaker to send the prescribed medicines list to the caretaker via SMS.
Lenin S.B and Malarkkan S
Springer Science and Business Media LLC
S. B. Lenin and S. Malarkkan
IEEE
Emerging technologies like LTE (long term evolution) and WiMAX (Worldwide Interoperability for Microwave Access) are advancing in order to respond the needs for future mobile wireless access systems, whereas the demand is continuously increasing the requirement on high data rate on every mobile application. In the third generation Partnership project -Long Term Evolution (3GPP LTE) of Fourth Generation (4G) provides greater speed compare with it is predecessor 3G and 2G. The higher data rate is achieved in the wireless environment by deployed OFDM (Orthogonal Frequency Division Multiple) and MIMO (Multiple Inputs and Multiple Outputs) technique. It employs smart selection and combining techniques in the receiver end to improve the signal quality. The sub-carrier fluctuates in different time slots with in an OFDM symbol as a cause of multipath fading (color noise environment). Here the priority is given to minimize the interference occurred among the symbols in the channels and compress the data stream for high speed digital data transmission. Estimating the channel as accurately as possible is essential. This paper constitutes for different channel estimation technique is implemented with OFDM and MIMO for high mobility. In this work an iterative channel estimation scheme is introduced that makes use of pilot symbols, Doppler spread information and previously estimated data symbols are utilized to estimate the channel accurately. The channel estimation techniques as Maximum Likelihood (ML), Minimum Mean Square (MMSE) and Zero Forcing (ZF) are utilized. ML estimation is used to estimate even the channel is in worst condition. If any symbol occurs with error then, the PIC-DSC (Parallel Interference Cancellation - Decision Statically combining) is involved in removing the unnecessary interference produced in the channel. The Performance and result analysis is done using MATLAB simulation.
S. B. Lenin and S. Malarkkan
IEEE
This paper considered about how the channel estimation effectively done for high-speed mobility system. Here the transmission rate greatly varied depending on speed of the mobile moving far away or close to the base station. The impulse swings are frequency shifts and delay spread various for each symbol called multipath fading is because of this OFDM signals losses the orthogonality because of Inter Symbol Interference (ISI) and Inter Carrier Interference (ICI). Therefore, accuracy of estimating the signal is necessary. To estimate the frequency selective fading signal an iterative estimation scheme designed with less complexity, which makes use of information about pilot symbols, Doppler spread (fD) value and previously detected symbols to increase overall performance. The channel estimation algorithms like Maximum Likelihood (ML), Minimum Mean Square (MMSE) and Zero Forcing (ZF) is taken in to account with the consideration of color noise. In addition to that, MIMO-OFDM techniques utilized to produce better efficiency. If the channel condition is very poor because of the multipath fading then the estimation technique is swifts adaptively to estimate the signal variance. Therefore, computation complexity reduced considerably for low Doppler spread similarly for high Doppler bester estimation technique used to estimate. The simulation results show the performance under high mobility the performance increased significantly with ML at low SNR.