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- Industry 4.0 Readiness: Transforming the Future of Manufacturing December 11, 2024
The Department of Mechanical Engineering concluded its 5-day intense Faculty Development Programme on Smart Manufacturing and Industry 4.0 organised with the objective of highlighting Smart Manufacturing to boost efficiency and sustainability, fostering collaboration among researchers, academicians, and industry experts and improving manufacturing practices and sustainability through innovation.The FDP kick-started with a plenary lecture on Smart Manufacturing/Industry 4.0, followed by interactive sessions led by eminent speakers. The FDP witnessed industrial and academic stalwarts such as Prof. Ramesh Babu, IIT Chennai; Mr Amit Baddi, Samprama Digitech, Pune; Dr Rishi Relan, Siemens, Delhi; Prof. Kaushal Desai, IIT Jodhpur to name a few. The resource persons, experts in their specific realms, primed over 100+ participants from both in and around the varsity.
The participants had the opportunity to learn about big data analytics and machine-to-machine communication, real-time data collection and processing using IoT, and seamless integration of manufacturing system components. The FDP encouraged extensive discussions and knowledge sharing sessions, bestowing a pivotal opportunity for participants, educators and industry practitioners to immerse themselves in the future of manufacturing.
The FDP also offered the participants significant opportunities to contribute to the evolving manufacturing landscape, ultimately enhancing productivity, efficiency, and sustainability in their respective fields. Academic colloquiums such as these prove to be significant in readying the next cohort of engineers and technology enthusiasts to tackle the problems of tomorrow.
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- Student-Teacher Collaboration Culminates in IEEE Transactions December 10, 2024
The increasing demand for sustainable energy solutions has led to the development of hybrid energy systems that integrate renewable sources like solar photovoltaic (PV) systems and fuel cells (FC). The practical applications of the research in sectors such as electric vehicles and residential power systems, contribute to a more reliable and sustainable energy future contributing to a more reliable and sustainable future.Abstract of the research.
This paper introduces novel high-gain tertiary port boost converter (HGTPBC) designed for hybrid energy sources such as solar photovoltaic (PV) and fuel cells (FC). The converter is employed with dual input sources by facilitating modular converters and accomplishes a high step-up voltage gain by virtue of a voltage multiplier in a DC microgrid, where the prosumers can have an islanded operation. The proposed topology allows home appliances to be powered by multiple energy source without the need for a large storage unit. Key features include continuous input current, reduced normalized voltage stress on switches, expandability for multiple input sources and independent source control. The independent control facilitates the standalone operation with single source during source failure or absence. To evaluate the converter performance, a thorough steady-state analysis, both with and without consideration of nonidealities is carried out. Detailed comparisons with existing converter topologies highlight the advantages of the proposed converter. Moreover, the loss distribution and efficiency analysis of proposed converter are presented and found to be 91.59% efficiency at rated power. Theoretical aspects are validated through hardware testing on a 100W laboratory prototype.
Explanation of the Research in layperson’s terms.
The proposed converter is a 100W DC-DC converter topology used in hybrid energy systems applications and electric vehicular applications in DC microgrid. The converter can accept two sources like fuel cell and solar PV system to supply the load and even can be extended for a greater number of sources. Thus, it is suitable for various applications of traction vehicles, household electrifications etc. It exhibits a lower switch stress and higher step-up conversion gain.
Practical Implementation and Social implications
The features include high step-up conversion gain, independent control possible, reduced normalised switch voltage stress. And flexible operation based on PV availability. It is most suitable for electric vehicles, Unmanned ariel vehicles, and hybrid energy systems etc. It improves the reliability of the renewable energy source by the incorporation of the second fixed source, fuel cell. It can be used in various on-grid and off-grid applications like home, hospitals, offices, and educational institutions, especially where source reliability is necessary. The major advantage is the reduction in the size of the source due to higher step-up gain and ease of control between the sources.
Future Research Plans
We are working towards the development of efficient and ultra-high gain bidirectional converters for various applications on DC microgrids. That should be able of reducing the source ratings and to integrate multiple sources to improve the grid reliability. Design and implementation of bidirectional multi-port converters for various applications of DC microgrids, such as renewable and hybrid storage integration are the scope of our research.
The link to the article- https://ieeexplore.ieee.org/document/10772206
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- Promoting Financial Literacy with NISM December 4, 2024
In a major initiative to promote financial literacy, the Paari School of Business organised a full-fledged Financial Education Programme under the Kona Kona Shiksha CSR Project, conducted by the National Institute of Securities Markets (NISM), on November 23 – 24 and 27 – 28, 2024. Mr Chilkuri Vijay Kumar, an NISM-empanelled resource person, conducted the programme, which saw enthusiastic participation from more than 140 MBA students.
The 10-hour programme covered, among the most important themes, career opportunities within the securities market, some investment fundamentals, primary and secondary markets, mutual funds, and various investor protection mechanisms. Besides lectures, dynamic discussions were conducted with insight into current happenings to introduce participants to the world of financial planning and investment strategies.
Mr Vijay Kumar’s interactive sessions helped students gain deeper insights into the securities market and clarified their understanding of the risks and opportunities of investment. Distributing e-certificates and comprehensive reading materials added value to the learning experience.
The session has set the stage for creating financially informed and responsible citizens. This has further reinforced Paari School of Business’s commitment to providing industry-relevant education and helping its students achieve professional excellence.
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- SRM AP Hosted the 7th National Conference on Electronic Structure December 3, 2024
The 7th National Conference on Electronic Structure successfully concluded at SRM University-AP on November 21 – 23, 2024, under the aegis of the Department of Physics and the Centre for Computational and Integrative Sciences. The conference provided a dynamic platform for discussions and interactions on the recent advances in electron spectroscopy, microscopy, and related theoretical approaches to understanding the electronic structure of materials.
NCES was also aimed at capacity building in the field of electronic structure. Scientists, researchers, and scholars from universities and research institutes assembled to delve deep into research on electronic structure-related projects and works. Scientific discussions and invited lectures showcased insightful sessions by domain experts from India.
Out of forty poster participants, four poster winners were awarded a certificate of appreciation and Rs.3000/—each in recognition of their effort and dedication, contributing to their success.
Prof. Ranjit Thapa (Convenor), Prof. Kalobaran Maiti (National Convenor), and Prof. B R Sekhar (National Convenor) spoke about the significance of the event, which helped scholars know the importance of the NCES event in terms of fruitful scientific interactions and collaborations with each other.
The participants were also on a short tour around Undavalli caves and Kanak Durga Temple. The tour plan facilitated an informal platform for participants to communicate freely and network with others for long-term collaborations.
The 7th National Conference on Electronic Structure was an inspiring experience for all participants, encouraging research scholars to work in the field of electronic structure. The conference also facilitated a conducive environment for problem-solving and innovation.
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- Inspiring Future Chemists at ChemZeal 3 December 3, 2024
On November 30, 2024, the Department of Chemistry, in collaboration with the Directorate of Admissions, hosted ChemZeal 3, a flagship event that showcased the ever-expanding scope of chemistry in today’s world. The event was graced by prominent personalities, including the Chief Guest, Prof. Vijayamohanan Pillai, Dean of Research & Development at IISER Tirupati, and Dr Veerababu, Director of Cathode, GODI India Pvt. Ltd., Hyderabad, who served as the resource person.The event began with a welcome address by the convener, Dr Satheesh Ellipilli, who provided an insightful overview of the programme and reflected on the immense success of the previous editions, ChemZeal 1 and 2. He expressed excitement about the growth of the event and its contribution to advancing the knowledge and application of chemistry in various fields.
Following the welcome, the Head of the Department of Chemistry delivered an inspiring speech, offering a comprehensive overview of the department. Dr Pardha Saradhi Maram, Associate Professor and Head highlighted the department’s commitment to academic excellence, research innovation, and fostering an environment where students can explore the transformative power of chemistry.
One of the major highlights of the event was the launch of the “Post a Q” portal by Vice Chancellor, Prof. Manoj K Arora. The portal aims to provide a platform for students and researchers to ask questions and seek solutions in the realm of chemistry. During the launch, Prof. Arora remarked, “Chemistry is such a wonderful science that, no matter what you think of, you will find chemistry in it.” This statement underscored the far-reaching impact of chemistry on everyday life and innovation.
The keynote address by the Chief Guest, Prof. Vijayamohanan Pillai, focused on generating and storing clean energy. He discussed the pivotal role that chemistry plays in developing sustainable solutions for energy storage and generation, from battery technologies to renewable energy sources. Prof. Pillai’s talk resonated with the audience, particularly in the context of the growing need for clean energy in the face of global environmental challenges.
The resource person, Dr Veerababu, shared valuable insights into cathode materials and their applications in the energy sector. His expertise in battery technology and his role at GODI India added depth to the discussions, providing students and faculty with a practical perspective on the industry’s current advancements.
ChemZeal 3 successfully fostered a spirit of collaboration and intellectual curiosity, highlighting the dynamic nature of chemistry and its potential to address some of the world’s most pressing issues. The event concluded with a vote of thanks, acknowledging the contributions of all the speakers, participants, and organisers who made the day a resounding success.
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- Research on Vehicle Density Detection Granted a Patent December 3, 2024
Research Scholars Chetan Mylapilli, Jethin Sai Chilukuri, Rohith Kumar Akula, Sana Fathima, and Assistant Professor Dr Anirban Ghosh from the Department of Electronics and Communication Engineering at SRM University-AP have co-authored an innovative paper titled “A System and Method for Detecting Density-Based Intelligent Parallel Traffic.” This pioneering research delves into the development of an intelligent traffic control system that dynamically adjusts traffic signals based on real-time vehicle density analysis, their research with the patent no- 202241044904 represents a significant step in integrating technology with transportation efficiency.Abstract
This work presents an intelligent traffic control system that addresses the gaps in the current state-of-the-art by using a novel hardware-software integration. The system evaluates traffic density in each lane direction and dynamically adjusts traffic lights using a computational algorithm to significantly reduce waiting times at junctions. It also ensures safe pedestrian movement and enables parallel traffic flows. A Raspberry Pi serves as the system’s control unit, utilizing video processing to determine traffic density, while LEDs simulate the traffic lights. The system integrates various hardware and software components, including Raspberry Pi, LEDs, relay modules, VNC software, and sample traffic videos, to provide an efficient solution to the traffic management problem.
Explanation of Research in Layperson’s Terms
The current system uses a Raspberry Pi to control traffic lights based on real-time video of cars at intersections. It detects how many vehicles are in each lane and adjusts the lights to reduce waiting time. Pedestrian safety is managed by ensuring safe crossing times. LED lights simulate the traffic signals, and the system allows smoother traffic flow by handling vehicles moving in parallel. However, it can’t yet control turning vehicles or prioritize emergency vehicles.
Practical Implementation of the Research
The intelligent traffic control system significantly reduces congestion by dynamically adjusting traffic signals, leading to shorter wait times and smoother commutes. It helps lower pollution and fuel consumption by minimizing idle time at junctions, contributing to better air quality and conservation of resources. Pedestrian safety is improved through designated crossing times, reducing accidents. The system also supports economic growth by cutting time wasted in traffic, enhancing productivity.
Future Research Plans
Future research will focus on adding control for turning traffic and distinguishing between different vehicle types to enable emergency vehicle priority. To improve real-time video processing, the system will transition from Raspberry Pi to more efficient hardware like FPGAs or GPUs. Machine learning will be explored for better vehicle detection and traffic signal optimization. Integration with V2X communication will enhance traffic management, and real-world scalability will be tested for deployment in smart city environments.
The prototype:
Figure 1. Image of the prototype
Figure 2. Working prototype
Figure 3. Block Diagram of the prototype
Continue reading → - Faculty Collaborate on Interdisciplinary Innovation December 3, 2024
In an inspiring collaboration, Prof. G S Vinod Kumar and Prof. Sheela Singh from the Department of Mechanical Engineering, Prof. Ranjit Thapa from the Department of Physics, and Dr Rajapandiyan Panneerselvam from the Department of Chemistry at SRM University – AP, along with PhD scholars Ms Harsha K and Ms Arunima J, have co-authored a compelling paper titled “Innovative Approaches to Enhancing the Tarnish Resistance of Silver Alloys.” This groundbreaking research focuses on developing new silver alloys that resist tarnishing, enhancing durability and aesthetic appeal for applications in the jewellery industry. Together, they are paving the way for innovative solutions that blend science with artistry.Abstract
Silver and its alloys undergo tarnishing with time, which is a black stain on the surface due to the formation of Ag2S. Developing a tarnish resistant Ag alloy was attempted by alloying Ag with elements that form a passive oxide layer on the surface. Germanium is proven to provide better tarnish resistance to sterling silver alloy (92.5wt.% pure) which is available under the trade name of Argentium©. The present work investigates the tarnish resistance behaviour of sterling silver alloy (92.5wt.% pure) containing various additions of Copper, Zinc, Germanium, Aluminium, Beryllium, Titanium, Zirconium, and Magnesium. The alloys were prepared by melting and casting route, followed by Passivation Heat Treatment (PHT) to create a stable and continuous oxide layer. The temperature for PHT was optimized using thermogravimetry analysis (TGA) of the alloys prepared. An accelerated tarnish test was carried out to investigate the tarnishing behaviour of alloy samples obtained before and after PHT. The samples were characterized using XRD, SEM-EDX, TG-DSC, micro-Raman Spectroscopy, and XPS. The change in reflectance of the samples after the tarnish test is determined using UV-visible reflectance spectroscopy. The mechanism behind the tarnish resistance was derived using Density Functional Theory (DFT) by comparing sulphur (S2) and Oxygen (O2) adsorption energies (BE) of the alloying elements.
Explanation of the Research in layperson’s terms
Age-old silver pieces are found in different colours ranging from light yellow(silver Jewellery pieces after a few weeks of usage) to black(archaeological silver pieces). They look different in terms of the metallic white colour and lustrous appearance from fresh silver. This demeans silver and thus affects its market. The major cause of the staining of silver is the interaction of individual silver particles with some elements found common in the atmosphere. We work on the prevention of this staining of silver. For the study, silver is incorporated with other elements which makes silver less interacting with staining elements in the atmosphere. These additional elements create a layer over silver so that it is protected. The appropriate elements are identified by using modelling using computer software. After obtaining appropriate elements, the experimental trials are also done with the same elements until stainless silver is obtained. Then, what happens to the added elements inside silver is also studied by using modern microscopic technics.
Practical/Social Implications of the Research
The major application of the invention is in the jewellery industry. The problem of tarnishing is an age-old threat in jewellery making. The alloys we proposed could be used to make quality silver jewellery/articles that can sustain the colour and lustre for a longer period. This will stop the hesitation from jewellery designers and industries to try intricate designs in silver and find a better market for them. The alloys based on the proposed composition show good grain refinement and thus high hardness. This strengthens the soft silver and improves the range of its applications from low hardness articles to high. The alloys based on the proposed composition have high tensile strength. They deform plastically for a wide range of stress values and will not break easily.
Collaborations:
Waman Hari Pethe & Sons Jewellery
Future Research Plans:
1. Corrosion studies of silver alloys to understand the behaviour in solutions having compositions similar to that of sweat.
2. Study of mechanical properties of silver alloys to develop workable alloys of sterling silver which could be used for jewellery manufacturing
3. Identification of elements having better oxide layer formation when alloyed with silver, by using computational techniques and experimental studies of their properties.
Link to the article:
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https://www.sciencedirect.com/science/article/pii/S2238785424024633 - Patent Published on Segmentation of Kidney Abnormalities November 29, 2024
Prompt and timely disease detection forms an essential part of any treatment, Dr Pradyut Kumar Sanki, Dr Swagata Samanta, and research scholar Ms Pushpavathi Kothapalli from the Department of Electronics and Communication Engineering have worked towards a timely and accurate disease detection when it comes to kidney disease diagnosis through medical images. Their innovative research titled, “A System and a Method for Automated Segmentation of Kidney Abnormalities in Medical Images” has been published in the patent journal with Application No. 202441074765 and has significant potential for clinical adoption, improving patient care in kidney disease detection and treatment.Abstract:
This research work aimed to develop an effective method for segmenting kidney diseases, including kidney stones, cysts, and tumours. The method achieved high accuracy in segmenting kidney diseases, with a good mean precision, and recall. The study employed techniques to efficiently select the most relevant features for kidney disease segmentation, identifying key features related to imaging and patient health. The method outperformed other approaches in terms of accuracy, precision, and recall. The study utilized a comprehensive dataset of kidney disease patients to train and test the segmentation method effectively. The results suggest that this method has the potential to be widely adopted in clinical settings, contributing to more accurate and efficient diagnostic tools for kidney disease segmentation and improving patient care in an effective manner.
Practical Implementation:
The practical implementation of the research involves deploying a system for real-time segmentation of kidney diseases, including kidney stones, cysts, and tumours. The method achieved high accuracy in segmenting kidney diseases using deep learning techniques. The model can quickly identify and delineate diseased areas within the kidney. The study employed techniques to select the most relevant features for kidney disease segmentation, focusing on key imaging and health-related characteristics. The method outperformed other approaches in terms of accuracy, precision, and recall. The study utilized a comprehensive dataset of kidney disease patients to train and test the segmentation method. The results suggest that the method has the potential to be widely adopted in clinical settings, contributing to more accurate and efficient diagnostic tools for kidney disease segmentation and improving patient care.
Future Research Plans:
The future plans for the work on chronic kidney disease (CKD) detection and segmentation involve several key areas:
Expanding Disease Coverage: Future research could involve adapting and expanding the segmentation model to detect and segment other kidney-related abnormalities and diseases, such as renal infections or congenital disorders, thereby increasing the versatility and applicability of the tool.
Improving Model Accuracy and Robustness: To further improve accuracy, additional deep learning techniques, such as ensemble learning or advanced attention mechanisms, could be explored. Testing on larger and more diverse datasets could help make the model more robust and generalizable across various patient demographics and imaging devices.
Integration with Multi-modal Data: Incorporating other data types, such as blood test results, genetic markers, or electronic health records, could be an exciting avenue to explore. This would create a multi-modal approach, combining imaging data with clinical information, potentially improving diagnostic accuracy and providing more comprehensive insights into kidney health.
Real-world Clinical Trials: Conducting clinical trials in real-world settings to validate the effectiveness of the segmentation tool with healthcare professionals. Gathering feedback from these trials would provide valuable insights into user experience and model performance, facilitating further refinement.
Developing a User-friendly Interface: Future work could involve creating an easy-to-use interface that seamlessly integrates with hospital systems. This interface would allow healthcare providers to interact with the segmentation results, adjust parameters, and view comprehensive diagnostic reports.
Exploring Semi-supervised and Unsupervised Learning Approaches: To reduce the reliance on labeled data, which can be time-consuming to obtain, exploring semi-supervised or unsupervised learning techniques could be beneficial. These approaches might help in training the model on large datasets without extensive labeling, thereby improving scalability.
Longitudinal Studies for Prognostic Analysis: Research could also focus on tracking patients over time to understand how kidney disease progresses and how segmentation results correlate with long-term health outcomes. This could help in creating predictive models for disease prognosis.
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- Patent on IoT System for Sensor Data Monitoring and Geo-Storage November 29, 2024
Prof. Rupesh Kumar from the Department of Electronics and Communication Engineering and his research cohort, Mr Venkata Naga Sai Kiran Damarla, Mr Prasannakumar Seelam, Ms V L S Tanmay P, and Mr Venkata Ramana Murthy Pondala (BTech ECE students), has published a patent titled “An Integrated Iot System for Sensing, Monitoring, and Geo-Information Storage of Sensor Data” with Application No: 202441065318 for their breakthrough research on developing an intelligent IoT system that can detect environmental changes.
Abstract
This research presents an integrated IoT system designed to monitor environmental conditions and store the corresponding data along with geo-information. The system autonomously collects data from its surroundings, processes it, and stores the information for future retrieval. The system is designed for use in remote monitoring applications where consistent tracking of environmental variables and location data is essential.
Explanation of the Research in Layperson’s Terms
The project aims to create a smart system that can sense changes in its environment—like temperature or humidity—and record those changes alongside its current location and time stamp. The collected data is stored so that it can be retrieved later for analysis, making the system useful in situations like monitoring climate conditions in farming or tracking environmental changes in various locations.
Practical Implementation/Social Implications of Research
The practical implementation of this system spans various fields such as agriculture, environmental management, and logistics. For example, in agriculture, the system can help farmers track environmental changes, allowing them to optimize crop management. Similarly, it can monitor environmental conditions in remote areas, ensuring timely interventions when necessary. The system could also aid in asset tracking, providing both environmental data and the location of critical resources. Its broader social impact lies in its ability to automate data collection, improve accuracy, and reduce human intervention in critical monitoring tasks.
Collaboration
This project was completed with the support and guidance of the Wireless Sensing & Imaging (WSI) Lab. The research team worked closely within the lab to develop the system, utilising the lab’s resources and expertise to achieve the research goals. There were no external collaborations involved in this project.
Prof. Rupesh and his team plan to explore radar design and focus on working with radar technology in their future research. By developing and integrating radar systems, the team aims to enhance IoT applications with advanced sensing capabilities, such as distance measurement, object detection, and environmental monitoring. Their goal is to contribute to more accurate and reliable solutions through the implementation of IoT Integrated Radar technology.
Continue reading → - A Grand Book Exhibition Successfully Concludes at SRM AP November 29, 2024
The Central Library hosted a highly successful Book Exhibition from November 21 – 23, 2024 in collaboration with Shah Books House (Hyderabad), Shanthi Book House (Chennai), and ISKCON Society (Vijayawada). The exhibition offered a wide range of books covering academic references, research materials, and general interest genres, catering to students, faculty, and staff. Special discounts were available to attendees, making this event an enriching experience for everyone involved.
Our exhibition was inaugurated by Dr Vinayak Kalluri, Dean – Academic Affairs and Prof. C V Tomy, Dean – SEAS in the presence of Vice Chancellor Prof. Manoj K Arora, who praised the exhibition’s ability to promote reading habits and encourage academic curiosity among students and faculty alike. Over 500 attendees, including students, faculty members, and visiting scholars, enthusiastically participated, all of whom explored the rich collection of books on display.
The collaboration with the partnering organisations ensured that the needs of the academic community were met, with resources spanning across disciplines, research interests, and general reading preferences. Many students highlighted the wide variety of books available, extending beyond the core curriculum and including topics catering to their interests and career goals. Faculty members appreciated the opportunity to recommend books for future acquisitions, ensuring the library remains up-to-date with the latest academic trends and resources.
The 2024 Book Exhibition was a resounding success, fostering a deeper connection to reading within the SRM University-AP community. The collaborative efforts of the vendors and ISKCON Society, along with the enthusiastic participation of students and faculty, made this a memorable event. Moving forward, the university plans to expand future exhibitions by incorporating more digital reading resources and hosting guest speakers to enhance the experience further.
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