Groundbreaking Paper Offers Geo-Temporal Visualisation of COVID-19 Spread in India
In an exciting development, Dr Anirban Ghosh, Dr Anuj Deshpande, and Dr Sibendu Samanta, Assistant Professors from the Department of Electronics and Communication Engineering, have recently achieved a significant milestone with the publication of their paper titled “An Indigenous Computational Platform for Nowcasting and Forecasting Non-Linear Spread of COVID-19 across the Indian Sub-continent: A Geo-Temporal Visualization of Data” in the esteemed journal, Procedia Computer Science.
The paper focuses on the development of a state-of-the-art computational platform specifically tailored for nowcasting and forecasting the non-linear spread of COVID-19 across the Indian sub-continent. This pioneering work promises to offer valuable insights into the geo-temporal visualisation of data related to the COVID-19 pandemic, with potential implications for public health interventions and policy decisions.
The publication of this paper serves as a testament to the innovative research being conducted by the faculty members at the Department of Electronics and Communication Engineering. Their dedication and expertise in the field have not only contributed to advancing scientific knowledge but also hold considerable promise for making a real-world impact in the ongoing fight against the COVID-19 pandemic. We extend our congratulations to Dr Anirban Ghosh, Dr Anuj Deshpande, and Dr Sibendu Samanta for this remarkable accomplishment and look forward to witnessing the continued impact of their research in addressing critical challenges facing the world today.
Abstract
The rapid spread of the COVID-19 pandemic necessitated unprecedented collective action against coronavirus disease. In this light,we are proposing a novel online platform for the visualisation of epidemiological data incorporating social determinants for understanding the patterns associated with the spread of COVID- 19. The current AI computational platform combines modelling methodologies along with temporal, geospatial visualisation of COVID-19 data, providing real-time sharing of graphic analytical simulation of vulnerable hotspots of recurrent (nowcasting) and emergent (forecasting) infections visualised on a spatiotemporal scale on geoportals. The proposed study will be a secondary data analysis of primary data accessed from the national portal (Indian Council of Medical Research (ICMR)) incorporating 766 districts in India. Epidemiological data related to spatiotemporal visualisation of the demographic spread of COVID-19 will be displayed using a compartmental socio-epidemiological model, reproduction number R, epi-curve diagrams, as well as choropleth maps for different levels of administrative and development units at the district levels.
Explanation of the Research in Layperson’s Terms
The rapid spread of COVID-19 required quick and coordinated action. To aid the process, we have created a new online platform to help visualise COVID-19 data, including social factors that affect its spread. Our platform uses advanced computer models and shows COVID-19 data over time and across locations. It allows real-time sharing of visual analyses, highlighting areas at risk for current and future infections. The effectiveness of the platform lies in the fact that it is not limited to COVID-19. It can be suitably modified and employed for capturing similar trends for any future pandemic.
Title of the Research in the Citation Format
Priya Ranjan, Dhruva Nandi, Karuna Nidhi Kaur, Rohan Rajiv, Kumar Dron Shrivastav, Anirban Ghosh, Anuj Deshpande, Sibendu Samanta, Rajiv Janardhanan, “An Indigenous Computational Platform for Nowcasting and Forecasting Non-Linear Spread of COVID-19 across the Indian Sub-continent: A Geo-Temporal Visualization of Data”, Procedia Computer Science, Volume 235, 2024, Pages 496-505, ISSN 1877-0509,
https://doi.org/10.1016/j.procs.2024.04.049
Practical Implementation and Social Implications Associated
As mentioned earlier, the platform can be used to present real-time data analysis and identify emerging and current hotspots of the COVID-19 pandemic. However, the beauty or robustness of the platform lies in the fact that it can be suitably adapted for similar analysis for any future pandemic with minimum effort.
Collaborations
- University of Petroleum and Energy Studies, Energy Acres, Dehradun, Uttarakhand, India
- SRM Medical College Hospital and Research Centre, SRMIST, Kattankulathur, Tamil Nadu, 603203, India
- Amity Institute of Public Health, Amity University, Noida, Uttar Pradesh, 201303, India
Future Research Plans
The future plan includes improving the visual and graphical presentation of the platform to provide more insightful and intuitive information. Aggregation of data from other international databases would further augment the effectiveness of the platform by not limiting it to only the national scenario.
- Published in Departmental News, ECE NEWS, News, Research News
Dr Sanjay Kumar and Team Publish Digital Image Security Invention in the Patent Office Journal
In a recent development, Dr Sanjay Kumar, Assistant Professor in the Department of Computer Science and Engineering, along with a team comprising N Ujwala, J Yashwanth Sri Ram, J Lakshmi Prasanna Kumar, and K Heman Rai Choudhary, have successfully filed and published an innovative invention in the Patent Office Journal titled “SYSTEM AND METHOD FOR DISCRETE WAVELET TRANSFORM (DWT)-BASED SECURE IMAGE WATERMARKING” with the application number “202441045387”.
This invention holds great promise in the field of digital image security and watermarking. The patented system and method are based on the discrete wavelet transform (DWT), a widely used signal processing technique, to embed secure watermarks into digital images. The application of DWT ensures that the watermarking process is robust and secure, making it suitable for a wide range of applications where image integrity and authenticity need to be ensured.
Dr Sanjay Kumar’s expertise as an Assistant Professor, coupled with the team’s skills and dedication, has resulted in the successful development and patenting of this cutting-edge technology. The “SYSTEM AND METHOD FOR DISCRETE WAVELET TRANSFORM (DWT)-BASED SECURE IMAGE WATERMARKING” promises to be a significant addition to the field of digital image security and watermarking, offering enhanced protection against unauthorised tampering and misuse of digital images. It is expected that this invention will garner attention from industry professionals, researchers, and policymakers, paving the way for its integration into diverse digital imaging systems.
Abstract
Our research introduces a robust image watermarking technique that combines Discrete Wavelet Transform (DWT) and chaotic map-based encryption. The method analyzes high-frequency sub-bands derived from DWT applied to the blue channel of an RGB image, selecting the block with the highest energy for embedding a grayscale watermark encrypted with the Henon Map. The alpha blending technique is used to integrate the encrypted watermark, ensuring both imperceptibility and robustness. The method achieves an average PSNR of 43.7211 dB and SSIM of 0.9950. The watermark can be extracted by analyzing patterns in the high-frequency component, even after various attacks, using inverse DWT and Henon Map for decryption.
Explanation of the Patent in Layperson’s Terms
Our research focuses on protecting digital images by embedding a hidden watermark that is hard to remove. We use a mathematical method called the Discrete Wavelet Transform (DWT) to break down an image into different parts and find the best place to hide the watermark. The watermark is further secured by encrypting it with a technique called the Henon Map. Our method ensures that the watermark remains invisible to the naked eye while being resistant to tampering. This means the watermark can be detected and recovered even if the image is altered.
Practical Implementation and the Social Implications
The primary application of our research is in protecting the ownership and integrity of digital images. This technique can be used by photographers, artists, and digital content creators to ensure their work is not copied or altered without permission. By embedding a secure, invisible watermark, they can prove ownership and detect unauthorised use. Additionally, this method can be applied in sensitive fields such as medical imaging and legal documents where tamper detection is crucial.
Collaborations
This research was conducted by the Visual Information Processing Lab at the Department of Computer Science and Engineering, SRM University AP, Guntur, India. The team comprised Nadella Ujwala, Sanjay Kumar, Jayyavarapu Yaswanth Sri Ram, Jetti Lakshmi Prasanna Kumar, and Katragadda Heman Rai Choudhary.
Future Research Plans
Our future research will focus on enhancing the watermarking technique’s robustness against more sophisticated attacks, exploring real-time applications in video watermarking, and developing methods to embed multiple watermarks in a single image. We also aim to reduce the computational complexity to make the algorithm more efficient for practical applications.
- Published in CSE NEWS, Departmental News, News, Research News
CSE Academic Innovators File Patent for AI-Powered Refrigeration System
In a significant development for the field of artificial intelligence and sustainable technologies, Dr Subhankar Ghatak, Dr Aurobindo Behera, Assistant Professor, and Ms Samah Maaheen Sayyad, an undergraduate student from the Department of Computer Science and Engineering, have collectively filed a patent for an “Artificial Intelligence (AI) Enabled Refrigeration System.” The patent, bearing the Application Number 202441036548, has been officially published in the Patent Office Journal, marking a milestone in their academic and research careers.
This innovative refrigeration system promises to enhance efficiency and reduce energy consumption, potentially revolutionising the way we preserve food and other perishables. The team’s dedication to integrating AI into practical applications is a testament to their commitment to advancing technology for the betterment of society. The academic community and industry experts alike are eagerly anticipating further details on the implementation and impact of this patented technology.
Abstract
The invention is an advanced smart and AI-enabled refrigerator that seamlessly integrates device and software components. Key features include automatic quantity detection, a reminder system, a spoiler alert system, an inbuilt voice system, an inbuilt barcode scanner, an emotion detection system, and a personalised recipe recommendation system based on user preferences, weather conditions, season, location, and precise quantity measurements.
Research in Layperson’s Terms
The invention represents a groundbreaking improvement in traditional refrigerators, providing a new and enriched user experience through AI integration. It addresses food management, user interaction, and personalised recipe recommendations, incorporating user preferences, weather considerations, seasonal variations, location-specific nuances, and accurate quantity measurements.
Practical implementation and the social implications associated with it
The practical implementation of the “AN ARTIFICIAL INTELLIGENCE (AI) ENABLED REFRIGERATION SYSTEM ” involves the seamless integration of advanced hardware and sophisticated AI algorithms to create an intelligent and user-friendly refrigerator. The following steps outline the practical implementation:
Hardware Integration:
Sensors: Install advanced sensors, including thermistors for temperature, humidity sensors, barcode scanners, ultrasonic quantity measurement sensors, cameras, spoilage identification sensors, level sensors, defrost sensors, and weight sensors within the refrigerator compartments.
Voice and Emotion Detection Modules: Incorporate a microphone and speaker system for voice interaction and integrate cameras and emotion analysis algorithms for facial recognition and emotion detection.
Connectivity Components: Equip the refrigerator with Wi-Fi or Bluetooth modules to enable seamless data transfer and communication with other smart devices.
Processor and Memory: Utilize a powerful processor and ample memory to support AI algorithms, data processing, and smooth operation.
Display Panel: Implement an LED or touchscreen display for user interaction, providing real-time information and control over the refrigerator’s functionalities.
Software Development:
AI Algorithms: Develop and integrate AI algorithms for automatic quantity detection using computer vision, sentiment analysis for emotion detection, and collaborative filtering for personalised recipe recommendations.
Natural Language Processing (NLP): Implement NLP algorithms to enable the inbuilt voice system to understand and respond to user commands effectively.
Image Recognition Software: Utilize image recognition software to accurately read barcodes and analyse visual data from the integrated cameras.
Connectivity Software: Develop software protocols to ensure reliable wireless communication between the refrigerator and other devices or cloud services.
User Interface Software: Design a user-friendly interface for the display panel, allowing users to interact with and manage refrigerator contents easily.
Social Implications:
The “AI Enabled Refrigeration System” invention has several profound social implications:
1. Reduction in Food Wastage: The automatic quantity detection, reminder system, and spoilage alert system significantly reduce food wastage by ensuring that users are alerted about unused items and potential spoilage. This contributes to more efficient food management and a reduction in household food waste, addressing a critical global issue.
2. Enhanced Food Safety and Health: By providing real-time alerts about food spoilage and precise quantity measurements, the invention ensures that users consume fresh and safe food. This minimizes health risks associated with consuming spoiled food and promotes overall well-being.
3. Personalized Dietary Support: The personalized recipe recommendation system caters to individual dietary preferences and requirements, promoting healthier eating habits. By suggesting recipes based on user preferences, weather conditions, seasonality, and location, the system encourages balanced and nutritious meal planning.
4. Convenience and Efficiency: The inbuilt voice system, emotion detection, and intuitive user interface enhance the convenience and efficiency of managing refrigerator contents. Users can easily access information, receive reminders, and interact with the refrigerator, making food storage and preparation more streamlined.
5. Technological Advancements: The integration of advanced AI technologies in everyday appliances like refrigerators represents a significant step forward in smart home innovation. This can drive further advancements in the field, encouraging the development of more intelligent and interconnected household devices.
6. Environmental Impact: By promoting efficient food management and reducing wastage, the invention indirectly contributes to environmental sustainability. Less food waste translates to lower carbon footprints and reduced strain on food production resources, aligning with global efforts to combat climate change.
Overall, the “AI Enabled Refrigeration System” invention not only offers practical benefits in terms of food management and user convenience but also holds significant social implications by promoting health, reducing waste, and advancing technological innovation in household appliances.
Future Research Plans
Building on the innovative foundation of the “AN ARTIFICIAL INTELLIGENCE (AI) ENABLED REFRIGERATION SYSTEM, ” future research plans involve enhancing the AI algorithms for even greater accuracy in food quantity detection, spoilage prediction and personalised recipe recommendations. This includes exploring more advanced machine learning techniques and incorporating real-time feedback mechanisms to continuously refine the system’s performance. Additionally, research will focus on integrating the refrigerator with broader smart home ecosystems, allowing for seamless interaction with other smart appliances and IoT devices to create a fully connected kitchen experience. Investigations into more sustainable and energy-efficient sensor technologies will also be pursued to further reduce the environmental footprint of the device. Finally, extensive user studies will be conducted to gather feedback and insights, ensuring that the next iterations of the refrigerator are even more aligned with consumer needs and preferences, ultimately driving widespread adoption and maximising the social benefits of this technology.
Pictures Related to the Research
Fig 1: Schematic Arrangement of various Components for adequate operation of the proposed scheme
Fig 2: Schematic Arrangement of various Components for user interaction
Fig 3: Schematic representation of working of various components in the freezer system
• Pointer Number-27: Spoilage Detection Sensor (19) detects the item that is being spoiled and maps to particular item for alerting the user with the help of the capturing Device (01) and the info associated with that particular item like Expiry date etc.
• Pointer Number-28: The Ultra Sonic Quantity Measurement Sensor (06) senses the quantity of the ITEM “x” (24), and the camera (01) is used to identify what is ITEM “x” through (23).
• Pointer Number-29: Weight Sensor (07), using newly captured item ITEM “x” (24) by capturing device (01), identifies the weight of that item by subtracting the weight obtained after the addition of that item with the initial holding by the cabinet and attaching the value with corresponding ITEM “x” (24).
• Pointer Number-30: Barcode Scanner (12) scans the Barcode associated with the item and maps the corresponding information with that particular item with the help of the capturing device (01).
• Port Number-31: Mobile Application.
- Published in CSE NEWS, Departmental News, News, Research News
Chetna: Awakening Mathematical Minds
The Department of Mathematics at SRM University-AP successfully conducted a two-week summer programme “Chetna: Awakening Mathematical Minds” from June 17th to June 28th, 2024. This programme aimed to inspire and enhance mathematical understanding among participants from various parts of the country. The programme saw enthusiastic participation from 25 students hailing from different states across India, including West Bengal, Assam, Kerala, Karnataka, Tamil Nadu, Maharashtra, Gujarat, Delhi and Andhra Pradesh.
The programme featured a diverse curriculum, covering a wide range of mathematical topics. Eleven subjects were taught by eleven distinguished faculty members from the Department of Mathematics. The subjects provided a broad and enriching mathematical experience, designed to ignite a passion for mathematics in the participants.
Insights of the Two-Week Programme
First Week Highlights
1. Number Theory by Prof. Kalyan Chakraborty
The first week began with an in-depth exploration of Number Theory. Prof. Kalyan Chakraborty introduced participants to fundamental concepts such as divisibility, prime numbers, and modular arithmetic. The engaging sessions provided a strong foundation in understanding the properties and applications of numbers.
2. Abstract Algebra by Dr Anirban Bose
Dr Anirban Bose led the sessions on Abstract Algebra, diving into structures like groups, rings, and fields. The course covered essential algebraic concepts and their applications, enhancing the participants’ problem-solving skills and theoretical knowledge.
3. Linear Algebra and Basic Operators by Dr Animesh Bhandari
Dr Animesh’s lectures on Linear Algebra included topics such as vector spaces, linear transformations, and matrices. The sessions aimed to build a solid understanding of linear systems and the role of operators in mathematical computations.
4. Graph Theory by Dr Fouzul Atik
Graph Theory, taught by Dr Fouzul Atik, introduced participants to the study of graphs, which are mathematical structures used to model pairwise relations between objects. Topics included graph traversal, connectivity, and graph colouring, providing insights into the practical applications of graph theory.
5. Ordinary Differential Equation by Dr Nityananda Roy
The week concluded with Dr Nityananda Roy’s sessions on Ordinary Differential Equations (ODEs). This course covered methods of solving first-order and higher-order ODEs, along with real-world applications of differential equations in various fields.
Second Week Highlights
1. Advanced Algebra by Dr Kalyan Banerjee
Building on the first week, this subject delved deeper into algebraic structures, including advanced group theory and ring theory, preparing students for research-level problems.
2. Metric Spaces by Dr Choiti Bandyopadhyay
Dr Choiti’s sessions on Metric Spaces introduced participants to the concepts of distance and convergence in metric spaces. Topics included open and closed sets, continuity, and compactness, providing a deeper understanding of analysis.
3. Foundations of Probability and Statistics by Dr Vijayakrishna Rowthu
Dr. Vijayakrishna covered the Foundations of Probability and Statistics, focusing on probability theory, random variables, and statistical inference. The course aimed to equip participants with the skills needed to analyze and interpret data.
4. Mathematical Modelling by Dr Tapan Kumar Hota
Dr. Tapan’s lectures on Mathematical Modelling demonstrated how mathematics can be used to represent, analyse, and solve real-world problems. The course included case studies and practical applications in various disciplines.
5. Partial Differential Equation by Dr Ram Baran Verma
The sessions on Partial Differential Equations (PDEs) by Dr Ram Baran explored methods of solving PDEs and their applications in physics and engineering. Topics included separation of variables, Fourier series, and boundary value problems.
6. Math Education by Dr Jayasree Subramanian
The final course on Math Education, taught by Dr Jayasree, focused on pedagogical approaches and techniques for teaching mathematics effectively. The sessions aimed to inspire future educators and enhance their teaching methodologies.
Conclusion
The “Chetna: Awakening Mathematical Minds” summer programme was a resounding success, providing participants with valuable insights and knowledge in mathematics. The diverse backgrounds of the participants and the expertise of the faculty created a vibrant and stimulating learning environment, fostering a deeper appreciation for the subject. The Department of Mathematics at SRM University -AP looks forward to organising similar programmes in the future to continue inspiring young mathematical minds across the country.
- Published in Departmental News, Math News, News
SRM AP Signs MoU with Human Resocia to Create Employment Opportunities in Japan for Students
SRM University-AP has signed an MoU with Human Resocia to facilitate employment and job opportunities for university students in Japan. This collaborative agreement partners HR to provide all the necessary facilities required for students to pursue career opportunities in Japan.
The MoU signing ceremony, organised yesterday, was honoured by esteemed individuals, including Prof. Manoj K Arora, Vice Chancellor of SRM University-AP, Dr M S Vivekanandan, Director of CRCS, Prof. C V Tomy, Dean SEAS, Mr Laxmanan Angu Raju, AGM of CRCS, Mr K Jotish Kumar, CEO of SRM Global, along with representatives from Human Resocia (HR) such as Mr Takeshi Tominaga, Mr Yuji Sakaguchi, Mr Taketo Fukuda, Mr Kagotani Takuya, and Mr Senthil Sellappan.
This Alliance between SRM University-AP and HR will primarily focus on recruiting students, providing Japanese language learning for recruitment in Japan as well as to identify opportunities where both entities can collaborate with Japanese universities or other relevant stakeholders of Japan be it academic or industry. With a goal to develop the employability and cross-cultural learning experience of students, this collaboration is all set for mutual growth and development.
Prof. Manoj K Arora, Vice Chancellor of SRM University-AP, expressed his enthusiasm: “This strategic partnership with Human Resocia marks a milestone in our efforts to provide international career opportunities for our students in Japan. We are very excited about the prospects that this MoU brings, and we are committed to preparing our students for successful careers ahead.”
Human Resocia Co., Ltd. is a recruiting and dispatch company in Japan that has been established for more than 30 years. It specialises in helping individuals develop their careers as IT engineers in the nation. Their rich experience in understanding the evolving needs of job seekers and how to help millions of job seekers and lakhs of recruiters like no one else does makes them a perfect ally, and we are happy that they trust us on this step.
This MoU signifies a significant step towards empowering students of SRM University-AP to begin a promising career path in Japan. It reflects the University’s commitment to providing holistic opportunities for professional growth and international exposure.
- Published in CR&CS, CR&CS NEWS, Departmental News, News
Innovating Human Resources: A Blockchain Technology Bibliometric Analysis
In a significant academic achievement, Dr Vimal Babu, Associate Professor at the Department of Management, Paari School of Business, and Ms Rukma Ramachandran, a PhD Scholar, have co-authored a book chapter titled “Revolutionizing HR through the Deployment of Blockchain Technology: A Bibliometric Review.” The chapter is included in the book Blockchain and Digital Twin Enabled IoT Networks: Privacy and Security Perspectives, published by Routledge: A Taylor and Francis Group.
The research work delves into the potential of blockchain technology in transforming Human Resources practices, offering a bibliometric review to shed light on the impact and future possibilities within the field.
The publication adds valuable insights to the growing discourse on blockchain applications in various industries, particularly focusing on HR management. This collaborative effort between Dr Vimal Babu and Ms Rukma Ramachandran highlights their dedication to exploring innovative solutions at the intersection of technology and management. Their contribution to the book aims to contribute to the ongoing dialogue on privacy, security, and efficiency in IoT networks, with blockchain technology playing a pivotal role in shaping the digital landscape.
The chapter’s publication signifies a notable milestone in the academic pursuits of both scholars, solidifying their expertise and thought leadership in the realm of blockchain technology and its implications for HR practices. Their contribution is expected to resonate with professionals, researchers, and students interested in the evolving dynamics of digital innovation and its impact on organisational processes.
Brief Introduction of the Book Chapter
The adoption and implementation of Blockchain in Management have been gaining increasing attention. The rise in the number of studies on Blockchain in managerial applications invites a greater number of research contributions in this field. This chapter describes the gap in the present studies using a hybrid review system through the means of systematic literature review and bibliometric analysis.
Publication details (incl. Publisher, ISBN, Launch date, Edition, etc)
Publisher- Taylor & Francis
ISBN- 9781003403791
Launch date- 19 July 2024
Edition- 1st
Target Audience of the Book Chapter
This book emphasizes and facilitates a greater understanding of various data security privacy approaches using the advances in Blockchain and data analysis using machine/deep learning, federated learning, edge computing and the countermeasures to overcome these vulnerabilities.
Link to the Book Chapter
Blockchain and Digital Twin Enabled IoT Networks | Privacy and Securit (taylorfrancis.com)
- Published in Departmental News, News, Paari Current Happenings, Research News
Decoding Investment Perceptions in India: Dr Lakshmana Rao’s Recent Publication
In a significant contribution to the academic discourse on corporate frauds and investment behaviour, Dr A Lakshmana Rao, Head of the Department and Associate Professor in the Department of Commerce, has published an insightful book chapter titled “Perception of Investment Behaviour in the Light of Corporate Frauds with Special Reference to India,” the chapter is a part of the book “Cybersecurity, Law and Economics: The Case of India,” published by Routledge, a prestigious Taylor and Francis Group.
Dr Rao’s work delves into the intricate dynamics of investor psychology and market trust, particularly in the aftermath of corporate scandals. His research provides a nuanced understanding of how investors navigate the complex landscape of financial decision-making when confronted with corporate malfeasance.
The chapter is poised to serve as a valuable resource for students, academics, and professionals interested in the intersections of finance, law, and cybersecurity. It also underscores the importance of robust legal frameworks and transparent corporate governance in maintaining investor confidence in the Indian market. With this publication, Dr Rao has made a notable contribution to the literature on economic security and investment strategies, offering a timely examination of the challenges and considerations unique to the Indian context.
A Brief Introduction of the Book Chapter
This book examines the intersection between cybersecurity and India’s law and economy and offers a course of action for designing efficacious policies against emerging cybercrimes in the country.
It reviews the boom in infrastructure growth in India and the security challenges this presents to the domestic economy and legal system. Contributors conduct a risk assessment of the potential economic impacts and security vulnerabilities, as well as identify the current regulatory and legal gaps regarding cryptocurrency, e-commerce and digital banking. The book also considers the subject of data localisation and sovereignty, and the challenges of establishing an indigenous data architecture. By discussing the economic impact of cybersecurity and incorporating recommendations from scholars, activists, academics, young legal intellectuals, and professionals in the field, the chapters propose new measures and protections for lawmakers and policymakers to adopt.
Significance of the Book Chapter
The book chapter titled “Perception of Investment Behaviour in the Light of Corporate Frauds with Special Reference to India” is a survey-based study that examines the general investor’s intentions regarding their investment behaviour in various investment options and their behavioural changes in the case of corporate frauds.
Co-authors of the Book Chapter
Two co-authors, Dr G Ramakrishnan and Dr Nikhil Kulshrestha, helped conduct the research and survey.
Link to the Book Chapter publication
Publication Details (incl. Publisher, ISBN, Launch date, Edition, etc)
ISBN 9781032852454
232 Pages 8 B/W Illustrations
October 1, 2024, by Routledge
Price: £ 135
- Published in Commerce Current Happenings, Departmental News, News, Research News
Innovative Aquaculture Monitoring System Patented by Dr K A Sunitha and Team
In a significant advancement for aquaculture technology, Dr K A Sunitha, Associate Professor in the Department of Electronics and Communication Engineering, along with her B.Tech ECE students Ms B Harshitha and Mr B Taraka Rameswara Kanaka Durga Prasad, have made headlines with their latest invention. The team has successfully filed and published a patent for “A Fully Automated System for Real-Time Monitoring of Aquaculture Environment and a Method Thereof.” The application number 202441034671, has been officially recorded in the Patent Office Journal, marking a milestone for the team and the institution they represent.
This pioneering system promises to revolutionise the way aquaculture environments are monitored by leveraging automation to ensure real-time, accurate assessments. The invention stands as a testament to the innovative spirit and dedication of Dr Sunitha and her students, who are now recognised as contributors to the technological advancements in the field of aquaculture.
Abstract
This project involves the design and development of an Automated water quality analysis system to assist aquaculture farmers. The proposed system is tailored for aquatic environments, particularly ponds to monitor crucial parameters say Dissolved Oxygen (DO), PH, Temperature and Humidity levels, signaling when concentrations drop below the predefined threshold set by the user every thirty minutes. The system features autonomous activation and deactivation of aerators to ensure continual oxygenation of water and aids in energy optimisation. Utilising advanced sensors and a microcontroller, the device offers continuous monitoring of parameters to facilitate pond operators with timely insights into water quality dynamics, enabling proactive interventions to protect aquatic ecosystems.
Brief Explanation of the Project
India is the second-largest aquaculture nation in the world, and this sector provides livelihood support to about 280 lakh people. The aquaculture industry globally faces numerous challenges, such as Viral, bacterial, and fungal diseases and Suboptimal water quality. One crucial criterion for evaluating the quality of water is measuring the Dissolved Oxygen level. Water and other liquids contain free, non-compound oxygen, which is measured as dissolved oxygen (DO).
Long-term exposure to low DO levels increases stress and infections and, in certain situations, causes the death of the organism because dissolved oxygen is essential for the health and reproduction of many fish and invertebrates. This project highlights the design of a timer based automated water quality analysis system which can be used in the inland aquaculture farms to continuously monitor the water parameters and automate the calibration process and the operation of aerators without human intervention.
Practical Implications of the Research
The main objectives of this research are
1) To monitor the parameters, say Dissolved Oxygen, PH, Temperature and Humidity levels
every thirty minutes.
2) To automate the Calibration process to maintain accuracy and reliability of the system.
3) To automatically turn ON/OFF the aerators in the event of Low/High oxygen levels detection in the pond.
4) To send notifications to the technician or farmer every thirty minutes to help them monitor.
Future Research Plans
The developed prototype is currently validated with standard DO meter during experimental trials. Moving forward, further research and development efforts may focus on refining the system’s functionality, expanding its sensor capabilities, and integrating advanced analytics for predictive monitoring and decision support, thereby advancing the state-of-the-art in aquaculture management technology and promoting the long-term viability of inland aquaculture operations.
Pictures Related to Research
- Published in Departmental News, ECE NEWS, News, Research News
Exploring Wire Arc Additive Manufacturing
Wire Arc Additive Manufacturing (WAAM) is revolutionizing how we make metal components, especially when it comes to materials like 304L austenitic stainless steel—a popular choice in industries such as aerospace, automotive, and healthcare due to its durability and corrosion resistance. The research paper titled “Microstructural Characteristics and Properties of Wire Arc Additive Manufactured 304L Austenitic Stainless Steel Cylindrical Components by Different Arc Welding Processes” published by Dr Maheswar Dwivedy, Associate Professor, Department of Mechanical Engineering and his post-doctoral scholar Dr B Prasanna Nagasai explores this innovative manufacturing method in detail, focusing on how different welding techniques affect the end product.
Overall, this research indicates that WAAM, with its different welding techniques, can produce 304L stainless steel cylinders that potentially outperform those made by conventional forging, both in terms of material efficiency and mechanical properties. Such findings are significant as they point towards more sustainable and cost-effective manufacturing methods that do not sacrifice quality.
Abstract
Wire arc additive manufacturing (WAAM) is an advanced additive manufacturing (AM) technology that offers low cost and high deposition rates, making it suitable for building large metal parts for structural engineering applications. However, various welding procedures result in differing heat inputs and repetitive heating treatments throughout the deposition process, which can affect the microstructural and mechanical characteristics of the parts. In the current study, cylindrical parts made of 304L austenitic stainless steel (ASS) were manufactured using the WAAM technique, employing both gas metal arc welding (GMAW) and cold metal transfer (CMT) processes. This study explores the correlation between WAAM techniques and their effects on the bead geometry, microstructure and mechanical properties. The paper presents detailed analyses of the microstructure using techniques such as optical microscopy, scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDS) and X-ray diffraction (XRD). The research findings suggest that the choice of arc welding process significantly affects the grain size, phase distribution, and defect formation within the 304L stainless steel, thereby influencing the mechanical properties and overall performance of the manufactured components. The WAAM-processed 304L ASS cylinders showed better performance compared to those manufactured using traditional industrial forging standards, indicating that WAAM-processed 304L ASS cylinders are suitable for industrial applications. This comprehensive evaluation provides insights into optimising welding processes for enhanced quality and performance of stainless steel cylindrical parts.
Highlights of the research
- Controlling heterogeneous microstructures in WAAM-processed 304L stainless steel is challenging.
- GMAW vs. CMT impacts on 304L ASS microstructure analysed.
- The upward growth of coarse austenite/ferrite morphologies is controlled by the wire retraction mechanism.
- CMT produced finer dendrites and more ferrite morphologies.
- WAAM 304L ASS components outperformed the wrought 304L ASS and forged 304L ASS.
Practical implementation/Social implications of the research
The practical implementation of Wire Arc Additive Manufacturing (WAAM) for 304L austenitic stainless steel could revolutionise multiple industries, including aerospace, automotive, medical devices, maritime, and energy, by allowing the production of complex, custom, and durable components with greater efficiency and reduced material waste. This shift not only promises economic benefits like cost reduction and job creation in advanced manufacturing sectors but also carries significant environmental advantages by minimising waste and the carbon footprint associated with traditional manufacturing processes. Furthermore, the technology enhances supply chain resilience by enabling local, on-demand production, which could be crucial during global disruptions. Socially, WAAM could increase access to customised medical aids in low-income regions, fostering greater equality. The adoption of WAAM thus holds the potential to impact manufacturing practices profoundly, driving innovation, sustainability, and inclusivity across various sectors.
Collaborations
Dr V Balasubramanian, Professor & Director, Centre for Materials Joining & Research (CEMAJOR), Annamalai University, Tamilnadu.
In the future, the research team plan to focus on developing Functionally Graded Materials (FGMs) of nickel and stainless steel using Wire Arc Additive Manufacturing (WAAM). This research will aim to leverage the unique properties of each metal to create components with tailored functional performance for demanding applications. Key challenges will include optimising material interfaces, controlling deposition processes, and ensuring structural integrity.
- Published in Departmental News, Mechanical Engineering NEWS, News, Research News
“Destination Japan”- An Indo-Japanese Alliance for International Recruitment of SRM AP Graduates
SRM University-AP, with its uniquely curated “Destination Japan” program for its highly skilled Engineering & Non-engineering Students, is an initiative by the university to address the growing demand for human resources in Japan. The ‘Destination Japan’ program provides well-equipped engineers with valuable industry skills and well acquainted with Japanese culture. Under the programme, students are trained in the Japanese language, Japanese traditions, and work culture from the first year onwards, which helps them easily assimilate into the country’s workforce. The initiative also welcomes reputed companies from Japan to directly hire skilled engineering graduates from core engineering fields to enhance their manpower.
SRM University–AP has also signed MOUs with multiple universities in Japan for faculty & student exchange programs, collaborative R&D projects, Hi-tech & innovative labs and other academic initiatives complementing the “ Destination Japan “ program.
To further enhance this mutual alliance, the Director of Corporate Relations & Career Services of SRM AP, Dr Vivekanandan M S, has visited prospective companies and industries in Hamamatsu, Japan, during which he presented the stellar record of engineering graduates being nurtured at the varsity and the possible partnership for recruitment and employment.
SRM University-AP has also signed an agreement with the Shizuoka Government to foster Indo-Japanese academic and recruitment partnerships. These partnerships enable internships in Japanese organisations, admissions to universities for higher studies, and good career placement opportunities for their students in Japan.
Under the “Destination Japan” program, direct campus recruitment has begun with the visit of recruitment teams from two reputed Japanese companies, Forum Engineering Inc. and CRESCO Ltd., to hire proficient engineering graduates. This is a remarkable accomplishment for the university to ensure international placements for its students.
A recruitment team of four from CRESCO Ltd, including the Managing Director, and a team of two from Forum Engineering Inc. visited the university campus. The team included engineers, HR Executives and other professionals.
Many more Japanese companies are lined up for campus visits & recruitment in the coming months.
In an interaction with the recruitment teams from Japan, Mr Satoshi Iwami, MD of CRESCO, remarked, “As we are facing a shortage of IT engineers not only in our company but all over Japan, and with the SRM AP harbouring excellent IT engineers, we decided that an alliance would greatly benefit both parties.”
Ms Saho Funahashi, UI/UX Designer at CRESCO, said, “The students’ Japanese skills have impressed me. SRM University-AP has helped students understand the practical way of studying engineering through its impressive resources. This would greatly benefit them in a techno-driven country like Japan.”
Mr Mitsutaka Sekino, Operating Officer at Forum Engineering and Director of Cognavi India stated, “Due to the population crisis, the Japanese economy is getting weaker, but we believe hiring an able workforce from SRM AP to Japan will help improve the economy. We have come to hire excellent students from the university, and I’m greatly impressed by their proficiency in Japanese and their work attitude.”
Mr Masahiro Koizumi, Senior Executive Officer at Forum Engineering and Managing Director of Cognavi India, opined, “We, from Forum Engineering, have come here with the intention of recruiting high-skilled engineers. Furthermore, the clients of Forum Engineering, the manufacturers of electrical and mechanical equipment in Japan, have been facing a shortage of engineers. They desire Indian students to come to Japan and help resolve the problem.”
This program is guided and driven by SRM Global Consulting Private Limited, a consulting company of SRM Group established in Japan. Speaking on this, Mr Sankar Karunanidhi, Country Manager, SRM Global Consulting, mentioned, “SRM Group has had a long-standing relationship with Japan for over 25 years. This association has helped us design this unique program and training for our university students”.
This flagship initiative by SRM University-AP is helping Japan alleviate its labour shortage in various industries. Highly skilled graduates from India can get lucrative placements in Japan, ensuring a good work-life balance and career growth opportunities. SRM University–AP, continuing its success of placing students in Japan with the dedicated program and the team behind Destination Japan, envisions placing a minimum of 120 Highly Skilled students in Japan year-on-year.
Vice Chancellor of SRM University-AP, Prof. Manoj K Arora, said this remarkable venture by the two parties would enrich the student’s academic experience, moulding them into global citizens with exceptional industry acumen. “We have established a prolific alliance with Japan. We plan to extend our collaborations to place our students in Taiwan, Canada, Germany and other European countries,” stated the head of the institution.
The continuous dedication and support from the team’s leading both nations guarantee prospective Indian graduates a once-in-a-lifetime opportunity to secure their dream careers in Japan.
- Published in CR&CS, CR&CS NEWS, Departmental News, News