Dr.U.Muthuraman
@francisxavier.ac.in
ASSISTANT PROFESSOR/EEE
FRANCIS XAVIER ENGINEERING COLLEGE
RESEARCH INTERESTS
EMBEDDED,STRUCTURAL HEALTH MONITORING,MECHATRONICS,EMBEDDED NETWORKING,SENSORS,BIO MEDICAL SYSTEMS, CIVIL STRUCTURES
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
U. Muthuraman, S. Esakki Raja, J. Sivadasan, J. Jasper Gnana Chandran, K. Sundarrajan, and N.V. Selvam
AIP Publishing
P. Annapandi, E. Ragavi, A. Ravi, N. S. Pratheeba, Mohamed Shaik Shainsa, and U. Muthuraman
AIP Publishing
R Pushpakumar, R Prabu, M Priscilla, P S Renisha, R.Thandaiah Prabu, and U. Muthuraman
IEEE
For the identification of intra-cell faults that may arise in returned products, a novel learning-guided technique has been described in this study. Assumed static flaws described by stuck-at errors are used in the first half of the study. Many supervised learning methods are investigated, with varied degrees of efficiency. The second section of the study is built on the earlier research by addressing more complex dynamic flaws. As part of the diagnostic procedure, a Naive Bayesian classification algorithm is applied to identify and categorise the type of each new data fault. The suggested approach’s reliability and clarity have been shown via testing on standard circuits and compared with a conventional cell-aware diagnostic tool.
M. Karthikeyan, D. Manimegalai, S. Sivarajan, S. Karthiga, and U. Muthuraman
IEEE
Power distribution in an electrical vehicle is improved by using a Direct Model Reference Adaptive Control (DMRAC) technique in a buck-boost converter in this study. DMRAC is used to overcome system nonlinearity caused by variations in load demand, various driving modes (like as acceleration, stability, and regenerative brake system mode), and system disturbances. In the face of nonlinearity, DMRAC's resilience and aptitude to preserve system stability have made it popular. The DMRAC controller's behaviour is related to a PI controller in the MATLAB/Simulink application in order to evaluate its usefulness in the current system. According to the findings of the simulations, DMRAC outperforms a typical PI control method in both situations of changing load demand and disturbed systems as determined by tracking error. This response improvement in the DMRAC is shown to result in lower tracking errors and quicker rejection of transient and disturbance signals. For the first time, DMRAC has been employed in a buck–boost converter for an electric automobile, and its efficiency has never been measured earlier.
N. Nithiyanandam, S. Dhanasekaran, A. Sivanesh Kumar, D. Gobinath, P. Vijayakarthik, G. Vinoth Rajkumar, and U. Muthuraman
IEEE
Student's proficiency in a subject may be gauged through the use of Learning Management Systems (LMS) (LMSs). Using a scoring algorithm to calculate the percentage of each student's attentiveness in the specific class, this system aims to increase the use of artificial intelligence approaches. The graph provided by this tool may be used to measure how well a student understands the material being taught. Data mining tools are increasingly being used in higher education to help students and administrators better understand and resolve educational and administrative difficulties. The majority of educational mining research focuses on replicating students' performance rather than instructors' performance. The course assessment questionnaire is a standard instrument for evaluating teachers' performance based on students' perceptions. There are a number of different ways for creating classification techniques in this system, from decision trees to support vector machines to machine learning techniques, including differential evolution. Comparing their answers to an actual course assessment question based on its accuracy, retention and sensitivity. Students' online conduct has become more accessible because to the use of Learning Management Systems (LMSs) in educational institutions. These statistics have been utilized by several studies to predict student outcomes. A wide range of subjects and predictive characteristics collected from the LMS make it difficult to draw generalized statements about the processes that control student performance. To get started let's take a look at some of the most recent research' theoretical foundations and common predictions in the field of learning analytics. A total of 4,989 students took 17 blended courses with Moodle LMS at the same school, and both multi-level and conventional regressions are utilized to examine the impact of LMS predictor factors and between-course evaluation grades on student performance. Despite the fact that they were gathered inside a single institution, our studies demonstrate that the outcomes of predictive modelling varied greatly between courses. As a result, the predictive models' range of motion is constrained. The data from LMS also shows that early intervention and intermediate assessment grades have little (if any) relevance from LMS data.
S. Dhanasekaran, P. Vijayakarthik, D. Gobinath, N. Nithiyanandam, A. Sivanesh Kumar, S. Agnes Shifani, and U. Muthuraman
IEEE
Using wireless sensor networks as a case study; this system examines the issue of excessive power usage. In hostile environments, where circumstances vary rapidly, wireless sensor nodes might suffer from abrupt connection quality as well as node status changes. As the network quality and node state fluctuate, so does the end-to-end latency for every sensor-node. Sensor nodes, on the other hand, have a finite amount of power; therefore, extending the network’s lifespan is a major challenge. Predicted Remaining Deliveries (PRD) is a distinctive and uncomplicated routing statistic that combines elements like as transmission capacity, connection dependability, and end-to-end latency and distance to give higher network performance. The PRD balances specific connections and end-to-end latencies in order to successfully depict the state of nodes over time. Using simulated tests, PRD exceeds ETX and other recently established measurements in terms of end-to-end delay and received packets.
Blesslin Sheeba T, T. Manimegalai, S. Ananthi, S. Kamatchi, Anitha G, and U. Muthuraman
IEEE
Product evaluations can be extremely beneficial to both customers and manufacturers. The number of evaluations could range from hundreds to thousands, with each one presenting a different point of view. It becomes increasingly difficult to analyse and extract information from existing evaluations as a result of these developments. The method of evaluating the intensity of opinionated texts is known as Sentiment Analysis. A large number of social networking sites are being utilised by users for the purpose of expressing their ideas and opinions and rating things. These user-generated opinions are much unstructured in nature, necessitating the employment of a variety of natural language processing techniques to extract meaning from them. When performing entity-based sentiment classification, the many characteristics of a item are detected throughout the training activity. For example, the picture quality, size, resolution, and memory of a camera are all important considerations. The Ensemble AdaBoost with support vector machine classifier (ASVM) is used to do the quantitative examination of each aspect of the study. In the majority of earlier publications, a product review is examined as a whole rather than taking into account each individual part of it. Due to the difficulty in identifying individual features, aspect-based opinion mining can be time-consuming and labour-intensive to perform.
D.S. Ramamurthi, S. Judes Sujatha, Ravikant Talluri, and U. Muthuraman
Elsevier BV
R. Ravi, G. Prince Devaraj, J. Monica Esther, R. Kabilan, Zahariya Gabriel, and U. Muthuraman
IEEE
Because of the mobility and scalability given by wireless networks, many applications have been made possible. MANET is a very important application in wireless networks. A fixed network infrastructure is not required for MANET. The node which is present in it can act both as transmitter as well receiver. The ability of MANET nodes to self-configure makes such as uses in military emergency application. MANET, is also used as vulnerable to malevolent attackers. New Enhanced Adaptive ACKnowledgment (NEAACK), is also a new technique which specifically intended to MANETs, is used in this research. NEAACK is used to find forge acknowledgement attacks as well as to detect misbehaving nodes. The integrity, authentication, and non-repudiation of NEAACK are all ensured by the Digital Signature Algorithm. The Routing Overhead will be decreased and Ratio of packet delivery will get increased.
J. Monica Esther, J. Zahariya Gabriel, R. Ravi, U. Muthuraman, G. Prince Devaraj, and R. Kabilan
IEEE
The purpose of the project is to improve the energy efficiency of a network. Cooperative communication has a lot of potential for increasing the efficiency of wireless network transmission. To come to terms with the intricate medium access conversations generated by such collaboration, and efficient CMAC protocol is required. In this study, DEL-CMAC, a novel cross-layer distributed power generation protocol for MANETs, was discovered. The primary goal of DEL-CMAC was to enhance MANET performance in the network in order to achieve a high gain. A functional energy consumption model is used to consider the energy consumed by the transceiver amplifier and transceiver circuit. To select an optimal relay, a dispersed convenience-perfect relaying technique related to the information residual energy was used. To increase spectrum utilization, a unique network allocation vector configuration is created to deal only with the varying transmitting power of either the relay or source terminals. Following a thorough simulation analysis, the suggested DEL-CMAC significantly improves network lifetime under various scenarios, even in elevated circuitry energy consumption instances.
J. Zahariya Gabriel, U. Muthuraman, R. Kabilan, G. Prince Devaraj, R. Ravi, and J. Monica Esther
IEEE
Spectrum efficiency has become extremely relevant as wireless networks evolve. Increasing transmitter antenna on receiver will be the most common ways of improving spectral efficiency. MIMO systems will always have the efficiency to significantly improve performance, but complexity of such systems has made developing viable transmission schemes difficult. Backlogged packets queuing at such a coordinating base station with downlink interference broadcast channel experience very least amount of delay within our suggested approach. Transmission scheduling is used in conjunction using Joint Space Frequency Resource Allocation that will reduce the the total number of backlogged data. The problem in JSFRA is indeed not convex. In SCA, different optimization strategies been used to make non-convex constraint problems. Each user with a specific frequency is assigned to the corresponding base station in consecutive convex approximation, whereas SCA is dependent on QWSRM. The calculation of a user's packet size in a queue is defined as QWSRM. If QWSRM exceeds the queue length, the user will be assigned to a different base station utilizing alternating optimization. Backlogged packets are transferred in FIFO order in the transmission scheduling algorithm, even though the packet with the smallest transmission size is sent first. The delay experienced by backlogged packets can be reduced and the packets are queued on base station by combining both strategies. Such benefits have a significant impact on multi-user OFDMA MIMO interference broadcast channels.
U. Muthuraman, R. Ravi, G. Prince Devaraj, J. Monica Esther, R. Kabilan, and J. Zahariya Gabriel
IEEE
Most civil constructions inside cities, such as flyovers and bridges, remain prone to damage as they are being used after their lifespan has ended which creates a threat to people who use it. Due to the large number of automobiles on the road in a populated city, bridges may collapse, resulting in a huge calamity. As a result, those bridges must be constantly monitored. In this paper, a model that comprises of a load sensing element, an arduino microcontroller, ac flux sensor, an infrared sensor, a Wi-Fi module, and a vibration sensor has been designed. This technology analyzes vibration, bridge bending and vehicle loads, and generates the alarm through buzzer, if the vehicle load, vehicle count, and bending of the bridge exceed the threshold level. Whenever necessary, an administrator delegates an assignment to the employees as upkeep. This communication between administration and the monitoring system is accomplished via the use of IoT. For future data analyses, a webapp is built with statistics acquired by the help of sensors.
U. Muthuraman, M.A. Raja, M. Sophia, and O. Ganesh Babu
Elsevier BV
Ganesh Babu O, Sakthieswaran N, Muthuraman U, and Suresh P
Institute of Metals and Technology
Self-compacting mortars are achieving a great deal in the construction industry due to their remarkable characteristics and due to their advantages over conventional concrete. The main drawback associated with self-compacting mortars is the high cost associated with the ingredients used in the production of self-compacting mortars. This research aims to overcome this by combining the effects of nano-silica and glass powder on the properties of self-compacting mortar at normal and higher temperatures. The experiments were conducted to determine the split tensile strength over a range of curing periods and after being subjected to various temperatures. Durability properties of the self-compacting glass mortar, such as sorptivity, were also studied and compared with the properties of the control mortar. In addition, the chloride penetration resistance of the self-compacting mortars were also studied. The microstructure properties, such as X-ray diffraction and FTIR studies, were also performed to analyze the characteristics of self-compacting glass mortars at the micro level. The proposed mortar design can solve the problem of the disposal of waste glass, prevent the the depletion of natural river aggregates and also prove to be cost effective for massive construction purposes.
G. Prince Devaraj, R. Kabilan, U. Muthuraman, J. Zahariya Gabriel, J. Monica Esther, and R. Ravi
IEEE
Social inclusion and technological assistance to provide autonomy for individuals with impairments have recently gotten a lot of attention around the world. The scope of this study is to create a display for accessible interaction in home area networks. An interface design was proposed based on a project on the current state of accessible interfaces. This interface was created using a Tablet to control domestic gadgets via a prototype home network controller. A project was done to evaluate the design, which included interviews with people with impairments. This research created a feasible accessible interface for controlling home area networks, highlighting the most important criteria while taking into account a wide range of impairments. This project provides a display design for accessible home control, focusing on the usage of home area networks to promote impaired people's autonomy at home.
R. Kabilan, R. Ravi, J. Monica Esther, U. Muthuraman, J. Zahariya Gabriel, and G. Prince Devaraj
IEEE
A basic testing architecture to DRAM memory controllers is given in this paper. The suggested verification architecture based upon universal verification methodology, it employs common characteristics among numerous DRAM memory controllers that offer an standardized test-cases, UVM components, scoreboard and payload. The verification architecture provided employs the fewest possible macros, methods, and classes. UVM tests can be reused thanks to the proposed verification architecture. SoC Verification has been one of the greatest subjects in VLSI. The verification process requires well over 70% of the total time. As a result, a reusable and resilient verification environment is required. The universal verification methodology, is a viable solution to such issues. In a few simple stages, it also teaches how to validate an IP and build up an efficient verification environment. In a SoC case study, traditional verification is matched with UVM-based verification.
S. Gopikumar, S. Uma, K. Jayakrishna, and U. Muthuraman
Springer Singapore
U. Muthuraman, A. Swetha, Jasper Gnanachandran J, P. Annapandi, N.B. Rajesh, and J Anto Nesa Priya
IEEE
For voltage sag compensation, an effective device used for gaining acceptance is dynamic voltage restorer. Depending upon the high voltage injection and the amount of energy stored in the restorer, the compensation capability of a dynamic voltage restorer (DVR) will occur. In the distribution system, phenomenon that mainly occurs is the voltage sag, which minimizes the RMS voltage for a short stretch of time. In order to compensate the voltage sag, a power electronic device that is DVR is utilized to inoculate a $3\\ \\phi$ voltage in series and to synchronise with the distribution feeder voltage. Here the working of DVR is explained. The control methods employed for compensation of sag, swell, harmonics by power circuit of DVR is explained and verified by using simulation. In the distribution system, power quality disturbance is the main concern, which develops tripping and malfunctions in sensitive equipment. The main power quality problems can be cleared by inoculating the real and reactive power to the point of connection (PCC) by DVR. In order to improve the efficiency of the distribution system, the remuneration of voltage sag and swell issues and the elimination of power factor issues and harmonics by DVR are explained in this study and it is done with and without ANN. During power quality events, it is found that, the obtained output in both the cases is the proposed system that readily find the harmonics and eliminates the power quality problems by inoculating the real/reactive power with no/less distortions than traditional system.
R. Kabilan, G. Prince Devaraj, U. Muthuraman, N. Muthukumaran, J. Zahariya Gabriel, and R. Swetha
IEEE
In this paper, a new approach to fast digital image processing is proposed. Digital image processing (DIP) is a rapidly developing technology for quality development for primary products, also referred to as computer or machine vision. In communication systems, digital images have become an information source. Image segmentation is a cue for the field of image analysis and image editing. Our understanding of this field depends on advances in image segmentation and image editing, yet it remains open and challenging. The proposed approach suffers from complexity, improper segmentation, enhanced computing time, etc. To overcome these drawbacks, three segmentation levels are used here. The first stage is the key component analysis that provides more edge knowledge. Quick mapping that maps similar objects in a faster way is the next step. Finally, multidimensional scaling in a picture with the same colours to classify and segment related areas. This technique has a very fast and robust benefit. It also offers improved picture quality.
G. Prince Devaraj, R. Kabilan, J. Zahariya Gabriel, U. Muthuraman, N. Muthukumaran, and R. Swetha
IEEE
A non-volatile memory designed to FLASH recollections and switch SRAM seems to be the Magnetic RAM (MRAM) proximity unit. Due to its inherent radiation hardness, Spin Transfer Torque Magnetic Memory (STT-MRAM) was also used for top-responsibility applications. CMOS circuit sensitive to radiation Pre Charge Sense electronic equipment (PCSA); but we are able to recharge the non-volatile storage ceaselessly to urge accurate details. Since the current advantages are abandoned by radiation effects, STT-MRAM cannot be used specifically for top radiation applications. In this paper, a new style in the change of PCSA STT-MRAM sensing circuit is proposed and the paper focused more on power and space with performance up gradation.
U. Muthuraman and R. Kabilan
IEEE
An high non-linear diode bridge rectifier has been used in the electric vehicle charger for the use of DC voltage at only the DC-DC converter input but also to implement significant power quality problems only at existing AC input. By eliminating their input bridges, such problems developed a tremendous a need boost the Performance of power quality of developed battery chargers. Also in proposed method, these are accomplished by a inclusion of even a advanced Power Quality bridgeless LUO converter. This current PFC converter indeed a addition made by two LUO converters with such a standard inductor, operating independently and over corresponding half-cycles. A converter offers a high power density and low cost based EV charging strategy with higher precision operating in only a single switching cycle because of the absence of an input diode bridge from conventional PFC converters. The input current in a charger becomes rendered and it makes its source voltage, accurately on step, but it reaches the high input power factor.
J. Zahariya Gabriel, R. Kabilan, G. Prince Devaraj, and U. Muthuraman
IEEE
This work provides the mixture of two main component analysis (PCA) and linear discrimination analysis (LDA) feature extraction using Euclidean distance classifications for upgrade the efficiency on face-based real-time authentication method. Combining the extraction of functions that measure LDA and PCA values so that the matching scores become acquired. The matching scores represent sums extraction values from both functions. Distinctive values from face images could be improved also by combined extractor. Measure the distance to find a shortest distance between some of the template images by using Euclidean distance for test images. The output of a system authenticates for personal identity dependent from each user’s face image. Results are obtained from the 11-user image indicate that perhaps the combined extractor offers a greatest result compared to the performance of the single extraction feature. The current technique provides greater average performance than just a single extractor, however on the facial authentication device may overcome low performance. The real-time system will be more compatible and flexible with existing service conditions, so improved results will be needed.
V. Chandran, Aritra Ghosh, Chandrashekhar K. Patil, V. Mohanavel, A.K. Priya, Robbi Rahim, R. Madavan, U. Muthuraman, and Alagar Karthick
Elsevier BV
Abstract Waste disposal of expended lithium-ion batteries enables recovery, recycling and reduction of greenhouse gas emissions. Complete discharge of electrochemical devices, especially release through electrode material and current collector (copper/aluminum foils). The release among electrode material particles, is the essential requirement for ensuring the energy yield of polymer electrolytes. In this work, existing technologies which used release electrode materials with spent lithium-ion batteries. Treating the underlying effects of lithium-ion battery oxidation is especially complex of the indirect pathways identified. Aging mechanisms are also divided into three degradation modes (DMs) for simplicity: loss of conductivity, a deficit of active material, and decline of lithium production. It’s launched the lithium-ion secondary battery structure and assemblies outlined all forms of recycling processes from spent lithium-ion secondary batteries and provided some examples of common mixed recycling processes. Also, the problems and prospects of their recycling technology is discussed.
U. Muthuraman, R. Shankar, Vinay Kumar Nassa, Alagar Karthick, Chandrabhanu Malla, Amit Kumar, P. Manoj Kumar, Robbi Rahim, and Murugesan Bharani
Hindawi Limited
In this work, the solar water collector flow tube geometry is modified as curved and spiral to enhance the system’s performance. The investigation is carried out experimentally under the meteorological conditions of the Kovilpatti region (9°10 ′ 0 ″ N, 77°52 ′ 0 ″ E), Tamil Nadu, India. The flow pipes of the solar water heater are made of copper material which has higher thermal conductivity to recover the water heat as thermal energy. The influence of the mass flow rate (MF) on the flow pipes with respect to the surface temperature for various configurations of the flow tubes is investigated. The two MFs of 0.0045 kg/s and 0.006 kg/s are tested. The MF of 0.006 kg/s yields the maximum efficiency of 73% compared to the other MF. The straight, curved, and spiral tubes yielded the maximum efficiency of 58%, 62%, and 69%, respectively, at 0.0045 kg/s. Similarly, the MF of 0.006 kg/s obtained an efficiency of 62%, 65%, and 73% for straight, curved, and spiral flow tubes, respectively. The economics and exergy of the system are analyzed. The maximum exergy efficiency of the collector is estimated to be 32% for the MF of 0.0045 kg/s for the spiral flow collector, and for the 0.006 kg/s MF, the obtained exergy efficiency is 27% for the spiral flow water heater. The economic analysis revealed that the expense is $0.0608 and $0.0512 worth of hot water produced for the domestic space heating.