Ms Lakshmi Bhargavi presents a paper at IACC-2021 hosted by University of Malta, Europe
Being a researcher demands commitment, sustained effort, and a high level of inspiration. Ms Lakshmi Bhargavi from 3rd-year Computer Science Engineering has presented a paper titled “Application of distributed back propagation neural network for dynamic real-time bidding” at the 11th International Advanced Computing Conference (IACC-2021), hosted by the University of Malta, Europe. It is a reputed conference indexed in Scopus and DBLP, having H-index 25.
The research is based on the backend of ad placement on websites which involves finances. The process involves finding the best deal between the dealer and the supplier. In the present system, the bid is prefixed, thereby reducing the possibility of optimal budget utilisation. In comparison, Ms Lakshmi’s research uses an ML algorithm, which is dynamic and learns from the previous bids. This research has resulted in 15% lower costs for the suppliers, thereby saving a lot of money and resulting in a better system.
Abstract — Programmatic buying, popularly known as real-time bidding (RTB), is a key ascendancy in online advertising. While data has become essential for targeting and ad performance, data businesses have become difficult to differentiate due to their proliferation, as well as limitations of attribution. This provides an opportunity for Big Data practitioners to leverage this data and use machine learning to improve efficiency and make more profits. In such an opportunity, the research came up with an application of a machine learning algorithm, distributed back propagation neural network, d-bpnn, to predict bid prices in a real-time bidding system. This paper depicts how d-bpnn is used to achieve less eCPM for advertisers while preserving win rate and budget utilisation.
The 11th International Advanced Computing Conference (IACC-2021) was hosted by the University of Malta, Europe, with an H-index of 25. The conference is indexed in Scopus and DBLP and in collaboration with Springer. A few selected papers will be published in SCOPUS/SCI Indexed journals. The presentation was held on 19th December 2021. It was an ideal platform for people to share views and experiences in Futuristic Research Techniques.
Let’s hear from Ms Lakshmi:
My university has been with me in every step taken towards this conference. I would like to thank the mentoring of Dr Priyanka throughout the writing and presentation of the paper. The immense support of SRM AP management, my professors, HOD, Pro VC sir and VC sir made me reach the level to write a paper confidently and show my knowledge to the world.
I feel honoured to present a good paper at a global conference. The experience and connections I made through this conference are priceless. It gave me new insights into several other technical domains. I believe I gave my best at the unique opportunity given to me and hopefully will continue to deliver good work in future too.
- Published in CSE NEWS, News, Research News, Students Achievements
Students distribute winter clothing among slum dwellers
In a major initiative by the students of SRM University-AP, sweaters were distributed among the poor kids living on the streets of Guntur. Under the initiative, students from the 2018 batch of Computer Science Engineering, Civil Engineering, Mechanical Engineering, Electronics and Communication Engineering, and Management Studies visited slum areas on the roadside near Shri Hospital, Guntur and distributed clothing among 44 kids ranging from 3 to 16 years old.
“We know how the families whose sustenance depends on the street have suffered during the pandemic. I am sure these small acts will bring cheers to these families,” said Prof V S Rao– Vice-Chancellor of the university. Prof B V Babu– Dean, School of Engineering and Sciences- highlighted the wonderful gesture saying “I am really glad to see the sensitivities and sensibilities our students have in sharing and giving”. Ms Revathi Balakrishnan– Assistant Director, Student Affairs appreciated the efforts, selfless service and compassion of SRM AP students to the lesser privileged.
- Published in CIVIL NEWS, CSE NEWS, ECE NEWS, Mechanical Engineering NEWS, News
Student venture enters global market with $500K investment from Y-Combinator
There is nothing more satisfying for a university to see its students achieving their dreams, scaling greater heights. What Sourav Sanyal and Miran Junaidi started as a curious, entrepreneurial adventure during their undergraduate studies has turned out to be a robust business plan attracting investors across the world.
OurEye.ai was founded by the duo to provide an automated, end-to-end video intelligence solution for enterprises to monitor surveillance cameras in real-time, leveraging pre-existing CCTV-IP infrastructure. The founders secured an angel investment of $1,20,000 during the initial phase itself from top VC’s and angels in India. On this date, the company has attracted another renowned global accelerator and Investor Y-Combinator with an investment offer of $500K (about INR 3.7 Cr) in OurEye.ai. This remarkable achievement also takes the total amount invested in the company close to $620K (INR 4.7 Cr) in a little more than 12 months since inception. No wonder the duo is celebrating with all their hearts.
Y Combinator (YC) is one of the top American silicon-valley-based startup accelerators that funds the top companies of the world. YC has programmes, resources, and a community that supports founders throughout the company’s life. Airbnb, DoorDash, Stripe, Dropbox, CoinBase, Reddit, Instacart & Ginkgo Bioworks are a few of the prominent unicorns that were part of the past YC collaborations.
“With the beginning of 2022, we embark on a new journey of Bringing Cameras to Life and creating analytics for the offline world with the help of billions of CCTV infrastructure that has existed for over a decade. Now with YC’s support, we wish to do more,” said Miran Junaidi, Co-Founder of the Company.
“It has been the most exciting ride of my life. Starting up with OurEye.ai while in university to graduating a couple of months ago with a major dream come true. We have learnt a lot and learnt it the hard way that ‘Idea isn’t king, execution is’. It has been the best couple of years, and there could not be a better time to start up. After testing and executing the waters on the national market, we are now aiming to expand in the global market and grow at lightspeed.” said Sourav Sanyal, Founder of the Company.
“Y-Combinator picks just about 70 or fewer startups from India over 2 batches every year. This is a major milestone for our students and their startup. Miran and Sourav were extremely passionate about their company from the initial days. That is what motivated the world’s largest startup accelerator to believe in their startup. I am confident that investors and customers around the world will soon reinforce that belief and propel them to unicorn status,” said Dr Sathyanarayanan, President of the University.
“We take immense pride and happiness in our student’s achievements, and this is still just the beginning. I am certain that this milestone will continue to inspire not only our current students but also all the students out there with entrepreneurial ambitions. Here, at SRMAP, our primary focus is to bring out the best among our students, be it research, entrepreneurship or higher studies,” said Prof V S Rao, Vice-chancellor, SRM University-AP.
- Published in CSE NEWS, News, Students Achievements
Facebook Metaverse Spark AR Hackathon Winners
Skilling up is always encouraged at SRM University-AP. With cutting-edge technology and premier instructors provided to support curious, enthusiastic, and innovative minds, skilling up is fun, fantastic, and comes with fabulous prizes too.
In the Metaverse Spark AR Hackathon conducted by Meta (Facebook), D Yogesh and Yash Agarwal have bagged the winner’s and runner’s up prizes of $300 and $200 respectively. Not just that, 154 of our students would take away from this competition lucrative goodies and participation certificates for their idea submissions.
The CR&CS department organized workshops and trained our students specifically for this event alongside their regular upskilling for placements and other hackathons and contests.
Over a huge number of students who participated in this contest from different corners of the globe, the students of SRMAP walking away with the prizes make a sizable chunk.
We extend our heartfelt wishes to all the participants and hope to see them ace every challenge they face with the knowledge imparted and the skills honed here.
Testimonials
“It was my first hackathon that I participated in and being a part of the SRM AP Hackathon Club has helped and motivated me greatly. Having an interest in AR/VR, this AR hackathon offered me a good opportunity to learn more about the technology. I attended a workshop, conducted by Meta where they introduced us to Augmented Reality. I learned how Instagram filters were made from scratch, and, in addition, I gained technical knowledge about Augmented Reality. I made an Instagram filter that was based on the PUBG Mobile game.
As part of the hackathon, I would like to thank the CR&CS department for the smooth conduction of the hackathon. Also, I would like to thank Priyanka ma’am (link here) and Raghunathan sir (link here) for their time and assistance in the process. I’m very happy that I have acquired a new skill and looking forward to contributing to the Metaverse! Explore the 4.0 technologies”
-Yogesh D
“The hackathon was about creating an AR effect. I made an AR effect on the theme based upon the popularly known web series “SQUID GAMES”.
A special thanks to one of my friends, S. Lokesh who helped me a lot to make me understand how to make an AR effect. I would like to thank Dr T. Raghunathan and Dr Priyanka from the SRM-AP Hackathon club for encouraging and guiding me to participate in this competition.
I am eagerly waiting for many more Hackathons wherein I can participate under the guidance of the SRM-AP hackathon club. Winning doesn’t matter, but participation matters”
-Yash Aggarwal
- Published in CSE NEWS, Departmental News, News, Students Achievements
Smart COVID-shield: An IoT driven reliable and automated prototype for Covid-19 symptoms tracking
Persistent dry coughing and abnormally high body temperature are identified as more relevant risk factors associated with the COVID-19 crisis. Besides these, maintaining 6 feet social distancing norm was also recognized as a crucial factor. By taking these three features into consideration, the research group consisting of Dr Kshirasagar Sahoo, Assistant Professor, Department of Computer Science and Engineering at SRM University-AP have designed a smart, reliable and efficient COVID-19 tracking device model to monitor suspected infected people in public places. The device named “Smart COVID-Shield” utilising the IoT technology is equipped with a suspender and a belt to be placed over the clothes of the user which constitutes a cough detect unit, temperature detects unit and distance computing unit. Coughing and temperature patterns can be detected through the PIR sensor of the suspender while a belt with an ultrasonic sensor can be used to track people who violate the 6 feet social distancing norms in a real-time environment. A research paper titled “Smart COVID-shield: An IoT Driven Reliable and Automated Prototype for COVID-19 Symptoms Tracking” is published in Computing Journal as a part of the project.
Abstract of the paper:
IoT technology is revolutionizing healthcare and is transforming it into more personalized healthcare. In the context of the COVID-19 pandemic, IoT’s intervention can help to detect its spread. This research proposes an effective “Smart COVID-Shield” that is capable of automatically detecting prevalent symptoms like fever and coughing along with ensuring social distancing norms are properly followed. It comprises three modules which include Cough Detect Module (CDM) for dry cough detection, Temperature Detect module (TDM) for high-temperature monitoring, and Distance Compute Module (DCM) to track social distancing norm violator. The device comprises a combination of a lightweight fabric suspender worn around the shoulders and a flexible belt wrapped around the waist. The suspender is equipped with a passive infrared (PIR) sensor and temperature sensor to monitor persistent coughing patterns and high body temperature and the ultra-sonic sensor verify 6 feet distance for tracking an individual’s social distancing norms. The developed model is implemented in an aluminium factory to verify its effectiveness. Results obtained were promising and reliable when compared to conventional manual procedures. The model accurately reported when body temperature rises. It outperformed thermal gun as it accurately recorded a mean of only 4.65 candidates with higher body temperature as compared to 8.59% with the thermal gun. A significant reduction of 3.61% on social distance violators was observed. Besides this, the latency delay of 10.32 s was manageable with a participant count of over 800 which makes it scalable.
This is a collaborative work of H. K. Tripathy, S. Mishra from School of Computer Engineering, KIIT Deemed to Be University, Bhubaneswar, Odisha, India and A. Nayyar from Graduate School, Faculty of Information Technology, Duy Tan University, Da Nang 550000, Vietnam.
Early detection of the coronavirus symptoms is one feasible means to restrict the spreading of coronavirus. The IoT enabled “Smart COVID-Shield” is developed and implemented in this study to monitor social distancing violators in crowded places. In future, all other COVID symptoms can be incorporated into the model to make it more effective and real-time. An emergency alert module can also be included as part of the model to create awareness among people. An enhanced security mechanism can be further embedded in the working model to prevent any data compromise and dilution in data availability.
- Published in CSE NEWS, News, Research News
Advanced research on secure transmission of medical images
SRM University-AP promotes translational research that can add value to society making lives better. Following the tradition, Dr Priyanka Singh, Assistant Professor and her PhD student Ms Jyothsna Devi from the Department of Computer Science and Engineering have published their recent research work “Region-based Hybrid Medical Image Watermarking Scheme for Robust and Secured Transmission in IoMT” in ‘IEEE Access journal’ (Impact Factor of 3.36).
Dr Priyanka’s research focuses on the healthcare industry that is rapidly transforming medical images into ones that operate in real-time environments (IoMT, IoT, Cloud and so on). The research is proposed to address security and integrity issues in medical image transmission on IoT and edge healthcare applications with a lossless reversible region-based MIW scheme.
In this era of technological advancement, medical images and patient information are widely transmitted through a public transmission channel on the Internet of Medical Things (IoMT) applications. While sharing medical images or electronic patient records (EPR) through a public network, they can get tampered with or manipulated, leading to the wrong diagnosis by the medical consultants. Confidentiality of the patient record is also a major concern. Thus, it is very important to ensure the authenticity, authorisation, integrity, and confidentiality of the information during transmission.
ABSTRACT:
With the growth in Internet and digital technology, the Internet of Medical Things (IoMT) and Telemedicine have become buzzwords in healthcare. A large number of medical images and information are shared through a public network in these applications. This paper proposes a region-based hybrid Medical Image Watermarking (MIW) scheme to ensure the authenticity, authorisation, integrity, and confidentiality of the medical images transmitted through a public network in IoMT. In the proposed scheme, the medical image is segmented into Region of Interest (RoI) and Region of Non-Interest (RoNI).
RoI tamper detection and recovery bits are embedded in RoI to ensure the integrity of the medical image. RoI is watermarked using adaptive Least Significant Bit (LSB) substitution with respect to the hiding capacity map for higher RoI imperceptibility and accuracy in tamper detection and recovery. Electronic Patient Record (EPR) is compressed using Huffman coding and encrypted using a pseudo-random key (secret key) to provide higher confidentiality and payload. Encrypted EPR, QR code of hospital logo and RoI recovery bits are embedded in RoNI using Discrete Wavelet Transform-Singular Value Decomposition (DWT-SVD) hybrid transforms to achieve a robust watermark.
The proposed scheme is tested under various geometric and non-geometric attacks such as filtering, compression, rotation, salt and pepper noise and shearing. The evaluation results demonstrate that the proposed scheme has high imperceptibility, robustness, security, payload, tamper detection, and recovery accuracy under image processing attacks. Therefore, the proposed scheme can be used in the transmission of medical images and EPR in IoMT. The relevance of the proposed scheme is established by its superior performance in comparison to some of the popular existing schemes.
- Published in Computer Science News, CSE NEWS, News, Research News
Vision-based fall detection AI
Human-like care is difficult to replicate. Due to the lack of a reliable vision-based fall detection AI, it is often more effective to assign a lot of manpower towards vision-based detections that have not been efficiently implemented.
Ms Inturi Anita Rani, Research Scholar in the Department of Computer Science Engineering, working with her supervisor, Dr V. M. Manikandan, has worked on a paper titled, “A Novel Vision-Based Fall Detection Scheme using Keypoints of Human-Skeleton with Long Short-term Memory Network” in the Arabian Journal for Science and Engineering published by Springer with an Impact Factor of 2.33.
Abstract of the research:
Humans are skilled at visually recognizing and classifying actions in videos, but it’s tough to automate this process. Human action detection in videos is useful in applications like automated surveillance, assisted living, human-computer interaction, content-based video retrieval, and video summarization. The ability to recognize atomic actions like “walking,” “bending,” and “falling” is critical for activity analysis when monitoring elderly people’s daily activities. Our paper presents a new promising solution for fall detection using vision-based approaches. In this approach, we analyse the human joint points which are the prime motion indicators. A set of keypoints of the subject are acquired by applying the AlphaPose pre-trained network. These keypoints are inferred to be the joint points of the subject. The acquired keypoints are processed through a framework of convolutional neural network (CNN) layers. Here, the spatial correlation of the keypoints is analysed. The long-term dependencies are then preserved with the help of long short-term memory (LSTM) architecture. Our system detects five types of falls and six types of daily living activities. We used the UP-FALL detection dataset for validating our fall detection system and achieved commendable results when compared to the state-of-the-art approaches. For comparison, we employed the OpenPose network for keypoint detection. It is inferred from the results that the AlphaPose network is more precise in keypoint detection.
About the research paper:
In this paper, the author proposes a vision-based system that is capable of detecting various types of falls accurately through video processing with the help of a machine learning approach.
Implementation of the research:
The proposed scheme can be used to monitor the activity of elderly people and if any unusual falls happen, the information can be shared with caretakers to ensure emergency services.
- Published in CSE NEWS, Departmental News, News, Research News
Security Framework using Blockchain Technology
The Department of Computer Science Engineering is proud to announce that Dr Sriramulu Bojjagani has published a paper titled “Blockchain-Based Security Framework for Sharing Digital Images using Reversible Data Hiding and Encryption” in the journal Multimedia Tools and Applications (MTAP) having an impact factor of 2.757.
The paper is published in collaboration with D.R Denslin Brabin from the Department of Computer Science and Engineering, DMI College of Engineering, Tamil Nadu and Christo Ananth from the Department of Electronics and Communication Engineering, St. Mother Theresa Engineering College, Tamil Nadu.
Abstract of the Research
Security is an important issue in current and next-generation networks. Blockchain will be an appropriate technology for securely sharing information in next-generation networks. Digital images are the prime medium attacked by cyber attackers. In this paper, a blockchain-based security framework is proposed for sharing digital images in a multi-user environment. The proposed framework uses reversible data hiding and encryption as component techniques. A novel high-capacity reversible data hiding scheme is also proposed to protect digital images. Reversible data hiding in combination with encryption protects the confidentiality, integrity and authentication of digital images. In the proposed technique, the digital image is compressed first to create room for data hiding, then the user signature is embedded; afterwards, the whole image is encrypted. For compression, JPEG lossy compression is used to create high capacity. For encryption, any symmetric block cipher or stream cipher can be used. Experimental results show that the proposed blockchain-based framework provides high security and the proposed reversible data hiding scheme provides high capacity and image quality.
Fig 1: The process of encoding during reversible data hiding
Dr Sriramulu Bojjagani also intends to work on the development of block-chain based solutions to intelligent transport systems and on addressing the challenges of security issues involved in connected and autonomous vehicles.
- Published in CSE NEWS, Departmental News, News, Research News
Introducing decentralized security system using blockchain technology
The Department of Computer Science and Engineering is delighted to announce that Dr Rajiv Senapati and his research group; Abhiram Chakravadhanula, Jaswanth Kolisetty, Karthik Samudrala and Bharat Preetham have published a research article titled “A Novel Decentralized Security Architecture for the Centralized Storage System in Hadoop using Blockchain Technology” in the Scopus indexed IEEE 7th I2CT (The premier conference for the latest discoveries in Convergence in Technology in Asia Pacific).
Over the past decades, the Big Data ecosystem is experiencing a humungous explosion in the generation and exchange of information. Trading such delicate information can serve as a profitable knowledge resource in the present economy. However, serious concerns have been raised about the security and assurance of delicate data as the conventional safety architecture in centralized storage systems does not meet its nuanced requirements. Blockchain technology offers a promising solution for big data protection due to its decentralized nature. Through this research article, Dr Rajiv Senapati and his students intend to introduce a decentralized security architecture in centralized storage systems such as Hadoop to address its existing vulnerabilities.
Abstract of the Research
Big Data is huge in volume, diverse in information, and growing at flourishing rates. The major distributed file systems in the current market in Big Data Analysis include Apache Hadoop, Storm, Cassandra, Flink, Cloudera, and many more. Hadoop is an open-source framework divided into Hadoop Distributed File System (HDFS) and Map-Reduce. Hadoop plays a leading role in storing and processing Big Data in contemporary society as it is cost-effective and can manage large volumes of data in low-cost commodity hardware. HDFS is a type of Data Warehouse which is scalable and has fast access to information.
Metadata is the information about the data, such as which block is storing on what datanode, how many replications that block has, and on which datanodes those replications reside. In HDFS, this metadata is stored at a fixed place in namenode, and attackers can access the metadata and modify it without notice. Also, metadata is mutable, which means the attacker can erase his presence easily.
In this paper, to resolve this issue, we have provided a mechanism using blockchain technology that follows a decentralized architecture against the centralized architecture followed by HDFS. Hyperledger Fabric (HLF) is the blockchain proposed to be effective and trusted for such a purpose. HLF is a private blockchain with a distributed immutable ledger. The metadata will be stored in the ledger. If an attacker tries to modify the data, he cannot erase his presence as the ledger is immutable, unlike HDFS. Further, the work proposed in this paper can be extended in real-time HDFS with a secure ledger and multiple nodes.
- Published in CSE NEWS, Departmental News, News, Research News
Sikindhar Jaladi represents Andhra Pradesh in National Youth Parliament Festival 2022
The youngest National level participant of the year
The national youth parliament initiative intends to strengthen the roots of democracy among India’s youth population. Sikindhar Jaladi, a first-year BTech Computer Science student at SRM University-AP, won district and state level elocution competitions and participated in the National Youth Parliament Festival 2022 conducted by the Ministry of Youth Affairs and Sports, Government of India.
Mr Sikindhar bagged first place in the district level elocution competition in the District Youth Parliament in Krishna District on February 19, 2022, wherein he talked on the topic of Digital India. The top 2 participants from all districts of Andhra Pradesh competed at the state level, and Mr Sikindhar proved his mettle again, securing first place in elocution on the topic Startup India, Standup India.
Across India, approximately 2,40,000 ( two lac forty thousand) people have competed on all levels. In that, only 87 (3 from each state, 29*3=87) of them were shortlisted to attend the national level. Out of which only 29 (1st place winners from each state) of them availed a chance to speak at the Parliament. Being the 1st place winner from Andhra Pradesh, Mr Sikindhar represented the state and delivered his speech in the Parliament House (Sansad Bhavan) in front of the Honourable Speaker, Cabinet Ministers of the central Government, Entrepreneurs and other Dignitaries.
National Youth Parliament Festival (NYPF) is a national level competition organised by the Union Ministry of Youth Affairs and Sports in partnership with the Nehru Yuva Kendra Sangathan since 2019. (NYKS).
Read this exclusive interview with Mr Sikindhar on his journey to Indian Parliament House
“I am delighted to have got the opportunity to speak at Parliament, which is the highest forum of discussion and debate on public issues and national policy”, says Mr Sikindhar. “Also, I was the youngest youth parliamentarian aged 18 among all the participants”, he added joyfully.
Preparation for the State Level Elocution Competition
The topics were released one day before the state-level competition. Having a dream to become an entrepreneur, I chose Start-up India-Stand-up India among the given topics. I know how the start-up ecosystem has been growing in India and the sectors in which the Indian start-ups are emerging. On an important note, I would like to thank SRM University-AP for providing an entrepreneurship cell( Ecell) that solely focuses on starting up and inculcates leadership and entrepreneurial qualities in young minds. I would also thank our director of entrepreneurship cell Udayan Bakshi sir. I’m a member of the SRM Ecell at the Industree Owl, which helped me get acquainted with some startup and business terminologies.
Experience at SRM AP
Being a fresher, I like the experience here at SRM AP. I have good friends from all over the country. Those from the North Indian states like Haryana, Uttar Pradesh, West Bengal and Bihar help me gradually learn Hindi. And that knowledge of Hindi helped me highlight some points of my speech in Hindi, which made my address more attractive. Suman Kumar from Bihar, my classmate and CSE project partner at SRM AP, helped in preparing my speech. Hopefully, I will enjoy and experience the fullest from the university once the university reopens for onsite classes.
About the National Level Elocution competition in Delhi
The experience at the national level competition was truly unique. Best speakers from all the states were competing there. Though I was a bit anxious, I’m happy that I learned many things. Among all the speakers and participants, I was the youngest one. I loved the whole trip and made a lot of connections and friends. I met Shri Om Birla– Hon’ble Speaker of Lok Sabha, Shri Anurag Singh Thakur– Hon’ble Minister of Youth Affairs and Sports, Shri Nisith Pramanik– Hon’ble Minister of State, Youth Affairs & Sports. We had a beautiful conversation with the honourable union ministers Anurag Singh Thakur and Nisith Pramanik about the problems faced by the people of India, responsibilities and fundamental duties of the youth and the people of India in policymaking. I would also like to share that I had a chance to have dinner with the honourable Union Minister Shri Nisith Pramanik on March 10th evening. We also experienced a beautiful cultural event with the union ministers and members of Parliament (MPs).
Support received from SRM AP
Definitely, SRM AP played a crucial role in the journey. When the state level results were announced, our beloved Vice Chancellor sir, Pro-Vice-chancellor sir, Dean SEAS Prof B V Babu sir, Student Affairs Assistant-Director Revathi ma’am, ITKM Associate Director Arundhati ma’am, ITKM department, management, faculty members, and friends encouraged and motivated me. As I mentioned earlier, I would like to thank SRM University for providing an entrepreneurship cell (Ecell) that solely focuses on starting up and teaches leadership and entrepreneurial qualities in young minds. I’m a member of the SRM Ecell at the Industree Owl department, which helped me get acquainted with some startup and business terminologies.
- Published in CSE NEWS, Departmental News, News