Energy efficient MIMO-NOMA aided IoT network in B5G communications
The Department of Electronics and Communication Engineering is glad to announce that Assistant Professor Dr Sunil Chinnadurai and his research scholar Mr Shaik Rajak have published a paper titled “Energy Efficient MIMO-NOMA aided IoT Network in B5G Communications” in the Q1 journal Computer Networks having an Impact Factor of 5.5. With an intent to accelerate the development of future intelligence wireless systems, the paper proposes an energy-efficient massive multiple-input-multiple-output (MIMO)- non-orthogonal multiple access (NOMA) aided internet of things (IoT) network to support the massive number of distributed users and IoT devices with seamless data transfer and connectivity.
Abstract of the research
Massive MIMO has been identified as a suitable technology to implement the energy efficient IoT network beyond 5G (B5G) communications due to its distinct characteristics with a large number of antennas. However, providing fast data transfer and maintaining hyperconnectivity between the IoT devices in B5G communications will bring the challenge of energy deficiency. Hence, they considered a massive MIMO-NOMA aided IoT network considering imperfect channel state information and practical power consumption at the transmitter. The far users of the base stations are selected to investigate the power consumption and quality of service. Then, they calculated the power consumption which is a non-convex function and non-deterministic polynomial problem. To solve the above problem, fractional programming properties are applied which converted the polynomial problem into the difference of convex function. And then they employed the successive convex approximation technique to represent the non-convex to convex function. Effective iterative-based branches and the reduced bound process are utilized to solve the problem. Numerical results observed that their implemented approach surpasses previous standard algorithms on the basis of convergence, energy efficiency, and user fairness.
Explanation of the research in layman’s terms
- A cost-effective (i.e., energy efficient) maximization problem for the multiple cells NOMA heterogeneous network scheme is explored when meeting the transmission power and data necessity of far users. The singular value uncertainty model (SVUM) is deliberated to add the errors with the transmitted signal. Since it’s a non-convex problem and challenging to solve, they used the properties of fractional programming to convert it into its corresponding mathematical terms. ITS needs higher data rate and seamless connectivity to operate with maximum speed and safety.
- SCA methods are then applied to change the optimisation problem. After that, an effective iterative scheme is employed based on Branch and Reduced Bound (BRB) that resolves the energy-efficient SVUM problem and satisfies the convergence criteria.
- The proposed iterative BRB method enhances user fairness and decreases inter-tier interference (ITI). IRS has been recognised as the key enabling technology to provide the data required by the ITS with less power consumption.
- Energy efficiency achieved by the proposed BRB method is examined with the help of numerical results and found that the proposed algorithm provides better efficacy than the majorisation minimisation (MM) method and the well-known OMA scheme.
Practical implementations of the research
- To provide high data rates to wireless sensors and the internet of things (IoT), future communication systems can ultimately be advanced by implementing NOMA, small cell, and heterogeneous networks (HetNets) along with MIMO.
- An energy-efficient massive MIMO-NOMA aided IoT network to support the massive number of distributed users and IoT devices with seamless data transfer and connectivity between them in B5G communications.
Future research plans
- To explore the energy efficiency of AI-driven IoT networks for applications such as intelligent health care and intelligent vehicular communications.
- MIMO-NOMA with IRS elements to reduce power consumption and improve the connectivity between the users.
- Published in Departmental News, ECE NEWS, News, Research News
Tummala Bhuvitha bags 3 gold in state-level rifle shooting
Tummala Bhuvitha, Computer Science Engineering student at SRM University-AP showed exceptional talent in the 22nd state-level rifle shooting competition organised at Hyderabad Central University under the aegis of the National Rifle Association of India. She won the first position and 3 gold medals in the 10m air rifle shooting competitions held in senior, junior and youth categories, respectively.
More than 100 shooters from Andhra Pradesh took part in the competition held from the 4th to 7th of this month. Participating in the competition from SRM AP, Bhuvitha stunned the organisers by winning three gold medals in a row. Bhuvitha had won gold medals twice in the past in state and national level rifle shooting competitions held in different places. According to her father, Bhuvitha learned shooting techniques from Subrahmanyeshwar Rao, the coach at the Indian Academy of Shooting Sports in Vijayawada.
“I grew passionate about rifle shooting because it is an individual sport that requires so much concentration and focus”, says Ms Bhuvitha while sharing the joy of her success. University President Dr P Satyanarayanan, Vice-Chancellor Prof V S Rao and Registrar Dr R Premkumar praised Bhuvitha for winning three gold medals consecutively in state-level competitions.
- Published in CSE NEWS, Departmental News, News, Sports News, student affairs news, Students Achievements
PhD scholars attended the INUP-i2i Familiarisation Workshop at IIT Kharagpur
The Ministry of Electronics and Information Technology (MeitY) established the Indian Nanoelectronics User’s Programme (INUP) about a decade ago with the intention of improving skilled manpower in the areas of micro and nanoelectronics. This has laid the necessary foundation for the next step of the programme, INUP-i2i. It is a matter of pride that four PhD students from the Department of Chemistry attended the INUP-i2i Familiarisation Workshop on Nanofabrication and characterisations held from August 10 to 12, 2022, at IIT Kharagpur. Mr Syed Akhil, Mr Rahul SIngh, Mr Manoj Palabathuni, and Mr Subarna Biswas are the scholars who have grabbed this incredible opportunity.
Indian Nanoelectronics User’s Programme- Idea to Innovation (INUP-i2i) is developed to facilitate and support the generation of expertise in Nanoelectronics through participation and utilisation of the facilities at Nano-centres at IISc Bangalore, IIT Bombay, IIT Delhi, IIT Kharagpur, IIT Madras, and IIT Guwahati.
INUP will provide easy access to state-of-the-art nanofabrication and characterisation facilities to researchers, thereby creating a critical mass of hands-on experimental researchers across the country. This workshop is being organised both for familiarisation and interaction of the participants with faculty members of IITKGP. INUP has provided the accommodation and food for these shortlisted students. At the end of the workshop, they presented a poster as well.
- Published in Chemistry-news, Departmental News, News, Students Achievements
The prospects and challenges in India-ASEAN relations
The upcoming international conference, India & Southeast Asia in a Changing World: Convergences and Divergences, will examine India’s Act East policy, investigating its prospects and challenges in the Southeast Asian region. Assistant Professor Dr Vineeth Thomas from the Department of Liberal Arts has been selected for presenting a paper at this Conference organised by Christ University, Delhi NCR. He will present the paper titled The centrality of ASEAN in India’s Act East policy at the conference.
The international conference will be held In-Person from 14 to 15 October 2022 at the CHRIST (Deemed to be University) Delhi-NCR campus. The Hanns Seidel Foundation funds this conference. The major focus area of the conference is India’s foreign policy towards ASEAN countries like Myanmar, Thailand, Malaysia, Vietnam, Indonesia, and Singapore
Abstract
Against the backdrop of multi-dimensional developments and interventions in the Indo-Pacific region, India’s overseas policy and national security apprehensions have undergone substantial changes in the past few decades. Starting with the Look East Policy in the 1990s, India advanced its policy in 2014 as Act East Policy. The potential benefits of bilateral and multilateral relations in the Indo-pacific region made India take up its partnership with the Association of Southeast Asian Nations (ASEAN) seriously, which provided an opening and strip for India to explore Southeast Asia. This paper evaluates the significance of keeping ASEAN at the heart of India’s Act East Policy by illustrating the prospects and challenges in India-ASEAN relations.
- Published in Departmental News, Liberal Arts News, News, Research News
Effect of grass clippings on anaerobic co-digestion of food waste
The different dimensions of sustainable waste management have always been explored by researchers all over the world. Assistant Professor Dr Pankaj Pathak, Department of Environmental Science, has been actively involved in this research area for a while. Her paper titled Dual role of grass clippings as buffering agent and biomass during anaerobic co digestion with food waste is published in the journal Clean Technologies and Environmental Policy with an impact factor 4.7. Dr Pankaj Pathak co-authored the paper with Debkumar Chakraborty, Sankar Ganesh Palani, M M Ghangrekar, and N Anand.
Abstract
There is a dire need to replace the chemical buffers that regulate the redox environment in single-stage anaerobic digestion of food waste. Hence, the applicability of grass clippings as an eco-friendly buffering agent and biomass during the anaerobic co-digestion of food waste was explored. A focus was primarily given on the effects of grass clippings on the redox environment and acidogenesis. Concomitantly the production of volatile fatty acids, hydrogen, and methane in mesophilic conditions was monitored. Organic load and substrate-to-inoculum ratio were kept constant in all the experiments, and no chemical buffer was used. The results revealed that the redox environment was regulated with 10% grass clippings by inhibiting rapid pH drop in the digester. The addition of 2, 4, and 6% grass clippings promoted acidogenesis with increased production of acetic and butyric acids, whereas 8 and 10% grass clippings promoted solventogenesis with ethyl alcohol production. Hydrogen generation from the experiments with grass clippings was in the range of 27–30% of the total biogas, which was marginally higher than the control (25%). Methane concentration was negligible in the biogas generated from all experiments. The acidification rate, VFA production/consumption rate, specific hydrogen yield, hydrogen conversion efficiency, and volatile solids removal were maximum and minimum in the reactors with 6 and 10% grass clippings, respectively. From the above results, it can be concluded that adding grass clippings to food waste would regulate the sudden pH changes and enhance the production of value-added biochemicals, making the process cost-effective.
- Published in Departmental News, ENVS News, News, Research News
Systematic bibliographic research on eutrophic-ecological models
The Department of Civil Engineering is delighted to announce that Dr Siddhant Dash has published a paper titled “Systematic bibliographic research on eutrophication-based ecological modelling of aquatic ecosystems through the lens of science mapping” in the journal “Ecological Modelling” having an Impact Factor of 3.512. This research was conducted in collaboration with Prof Ajay S Kalamdhad from IIT Guwahati.
This research is a systematic approach on reviewing the published literature on eutrophic-ecological models developed worldwide and the methods associated with them. This provides critical insights into the status of the research domain, thereby providing a direction for the practising and future researchers to undertake a research career in this domain. It offers a more comprehensive and holistic approach to the critical review of the published literature, providing a deeper understanding to the researchers regarding the existing practices of developing eutrophication-based ecological models and the prospects lying ahead. His future research plans include understanding carbon and nutrient dynamics within an aquatic ecosystem.
Abstract of the Research
When water bodies receive surplus nutrients, especially nitrates and phosphates, these nutrients stimulate excessive plant growth (eutrophication), including harmful algal blooms, leading to oxygen depletion, decreased biodiversity, changes in species composition and dominance, and degradation of water quality. Although there are natural causes, much of the eutrophication today results from inadequately treated wastewater and agricultural runoffs. Population pressure, urbanization and industrialization contribute a considerable amount of waste, which alters the physio-chemical quality of water that eventually upsets the biotic components of the aquatic system. It is important to note that though pollution has been a significant factor in degrading the quality of aquatic ecosystems, the lack of management and global awareness regarding the protection and conservation of water bodies worldwide cannot be neglected. Hence, there lies an inherent sense of responsibility to restore the aquatic ecosystems to their natural state. Numerous techniques/treatment options are available for varying conditions, such as climatic factors, socio-economic factors, and so on. However, before ascertaining a treatment alternative to curb eutrophication levels, understanding the dynamics of any independent aquatic ecosystem is of prime importance. This necessitates a reliable model, which can provide information regarding the physical processes and dynamic occurrences in the eutrophic water bodies. Ecological modelling refers to the formation of dynamic and complex relationships between the organisms found in the ecosystem and the surrounding. It attempts to unravel the effects of certain relationships in the ecosystem that are not so apparent at first glance. The present study provides a scientific investigation of a detailed review of the published works in the domain of eutrophication-based ecological modelling till the year 2020. The first step was the scientometric studies, which were followed by a qualitative assessment wherein the current trends in research were discussed. This was followed by identifying the critical gaps in research to provide future direction.
Fig. 1. Ecological modelling process
Fig. 2. Description of the three-step literature review process employed in this research
- Published in CIVIL NEWS, Departmental News, News, Research News
Facial recognition system
Assistant Professor Dr Ravi Kant Kumar of the Department of Computer Science and Engineering aspires to investigate and design the most effective face recognition system appropriate enough to recognise faces in various unconstraint environments. Recently, his patent application titled A Face Recognition System (Application number: 202241030009) got published. He collaborated with his BTech student Thota Venkata Saai Praneeth, for this project. Facial recognition systems have abundant applications in Face Identification, Automobile Security, Access Control, Immigration, Education, Retail, Healthcare, Image database investigations, Surveillance, and many more.
Abstract
A facial recognition system is used for matching a human face captured in an image or a video frame with a database of faces. The system generally authenticates users by measuring facial features from the stored images. The present disclosure relates to face recognition systems. The envisaged system comprises a repository comprising a set of facial images of a plurality of subjects, a set of threshold values, and a plurality of rules. The system further comprises an image capturing unit for capturing a plurality of images of a subject’s face. A segmentation unit divides each image into a plurality of frames. The system further comprises a classifier that receives the frames and classifies frames containing faces from frames containing non-faces from the other frames. The facial features of each frame are extracted by an extractor. An analyser receives the extracted facial features and computes eigenvector values of the facial features of the frame. A comparator compares the computed eigenvector values with threshold values using the comparison rules to identify the subject.
Explanation of the research
Conventional facial recognition systems are configured to identify the contours of a person’s image captured by a camera or in real-time and compare it with the stored image to identify the person. However, external factors such as position, light conditions, camera calibration, and unconstraint conditions, among others, affect the identification of the face of the subject. Hence, comparing the faces with the help of the contours is not reliable. The present disclosure envisages a face recognition system. The system comprises a repository, an image capturing unit, a segmentation unit, a classifier, an extractor, an analyser, and a comparator. The repository consists of a set of facial images of a plurality of subjects, wherein the images define the subject’s facial features in different facial poses. Each image is tagged with an identity, a threshold integral value, and threshold eigenvector values corresponding to the facial features. The repository further comprises a first set of deep learning rules for classifying frames of a captured image into frames containing faces and frames containing non-faces, a set of extraction rules for extracting facial features from the frames 20 containing faces, the second set of deep learning rules for extracting eigenvector values of facial features of the frames containing faces. The repository additionally comprises a set of comparison rules for comparing eigenvector values of the captured facial features with the stored threshold eigenvector values to identify a subject’s face in the captured image.
- Published in CSE NEWS, Departmental News, News, Research News
Patient’s E Healthcare Records Management System
Publishing papers in Q1 journals is a remarkable accomplishment for research enthusiasts. Assistant Professor Dr Priyanka of the Department of Computer Science and Engineering published her latest research paper in the IEEE Access journal. The paper titled PRMS: Design and Development of Patients’ E-Healthcare Records Management System for Privacy Preservation in Third Party Cloud Platforms has an impact factor of 3.476. Kirtirajsinh Zala, Hiren Kumar Thakkar, Rajendrasinh Jadeja, Priyanka Singh, Ketan Kotecha, and Madhu Shukla co-authored the work with Dr Priyanka.
Abstract
In the digital era, personal data storage on public platforms is a significant cause of concern with severe security and privacy ramifications. This is true especially in e-health data management since patients’ health data must be managed following a slew of established standards. The Cloud Service Providers (CSPs) primarily provide computing and storage resources. However, data security in the cloud is still a major concern. To overcome e-healthcare records privacy issues in a third-party cloud, we designed a Patient’s E Healthcare Records Management System (PRMS) that focuses on latency and throughput. Moreover, the proposed PRMS system is compared with Blockchain platforms such as Hyperledger Fabric v0.6 and Etherium 1.5.8 against latency and throughput by adjusting the workload for each platform up to 10,000 transactions per second. The proposed PRMS is compared to the Secure and Robust Healthcare Based Blockchain (SRHB) approach using Yahoo Cloud Serving Benchmark (YCSB) and small bank datasets. The experimental results indicate that deploying PRMS on Amazon Web Services decreases System Execution Time (SET) and the Average Delay (AD) time by 2.4%, 8.33%, and 25.15%, 15.26%, respectively. Deploying PRMS on the Google Cloud Platform decreases System Execution Time (SET) and Average Delay (AD) by 2.27%, 2.4%, and 2.72%, 4.73% AD, respectively.
- Published in CSE NEWS, Departmental News, News, Research News
VS2-BP hybrid electrode material for supercapacitor applications
A theoretical investigation is highly important to investigate the properties of materials, the origin of selectivity, and the effect of various parameters in designing promising electrode materials for supercapacitor applications. The latest research paper by Mr Samadhan Kapse, PhD Student in the Department of Physics, and Prof Ranjit Thapa, Associate Dean of SEAMS (Sciences), envisions this and developed a novel VS2-BP hybrid electrode material. Their article titled All-solid-state Supercapacitor Based on Advanced 2D Vanadium disulfide/Black Phosphorus Hybrids for Wearable Electronics has been published in the journal ACS Applied Energy Materials with an impact factor of 6.959.
Abstract
Vanadium disulfide-Black Phosphorus (VS2-BP) hybrids were synthesised by a one-pot hydrothermal assisted method to achieve enhanced electrochemical activity for supercapacitor applications. The concentration of BP was optimised to prevent the restacking nature of VS2 and to enrich the active edges for electrolytic ion intercalation. The charge storage kinetics of the best-performing VS2-BP as an active electrode has demonstrated the dominance of the pseudocapacitive nature of the material. Further, by sandwiching with PVA/K2SO4 gel electrolyte, an all-solid-state (ASS) Vanadium disulfide/Black Phosphorus-50 mg (VS2-BP-50) symmetric device was developed on highly conductive carbon paper. The ASS VS2-BP-50 symmetric device displays the highest specific areal capacitance of 203.25 mF/cm2. It exhibits the maximum areal energy density of 28.22 µW h cm-2 at an areal power density of 596.09 mW cm-2, outperforming previous literature. We used density functional theory to understand the origin of high quantum capacitance. We found that the charge accumulation region between VS2 and BP monolayers and the charge transfer is the origin of the improved density of states in the VS2-BP hybrid. Also, we observed the higher mobility of K+ ion and a higher diffusion rate using the Density functional theory (DFT) method.
Explanation of the research
A novel VS2-BP hybrid electrode material was prepared using a simple hydrothermal approach. Due to a synergistic effect, it was discovered that adding BP to metallic VS2 enhances the number of electrochemically active sites, resulting in increased surface activity. It also accelerates reaction kinetics with electrolyte ions by improving the electrical behaviour of active electrode material. As a result, the hybrid technique overcomes the weaknesses of individual components during electrochemical processes, resulting in increased performance that has been limited by individuals. The BP nanosheets behaved as a pore region for electron transport and prevented the VS2 layers from re-stacking. Systematic experiments are conducted by selecting the ideal precursor ratios to generate a high-quality VS2-BP hybrid with enhanced electronic conductivity. Furthermore, in the overall collective charge storage of the VS2-BP-50 hybrid material, the present results demonstrated that capacitive contributions outnumber diffusive contributions. The ASS VS2-BP-50 symmetric supercapacitor device was also designed to have a high areal capacitance of 203.25 mF/cm2 with a maximum areal power density of 596.09 mW cm-2. The extraordinary performance of the ASS VS2-BP-50 symmetric device illustrates its versatility in terms of designing a high-power density ASS supercapacitor for flexible and wearable device applications. The work functions of BP, VS2, and VS2-BP are 0.73 eV, 5.37 eV, and 4.99 eV, respectively, which help in the charge transfer mechanism and increase the density of state at the Fermi level, and subsequently, the quantum capacitance of the heterostructure.
Collaborations
1. Mr Aditya Sharma, Centre for Nano and Material Sciences, Jain Global Campus, Jakkasandra, Ramanagaram, Bangalore – 562112, Karnataka, India
2. Mr Ankur, Centre for Nano and Material Sciences, Jain Global Campus, Jakkasandra, Ramanagaram, Bangalore – 562112, Karnataka, India
3. Mr Sagar Bisoyi, Department of Physics, School of Applied Sciences, KIIT Deemed to be University, Bhubaneswar-751024, Odisha, India.
4. Dr Gopal K. Pradhan, Department of Physics, School of Applied Sciences, KIIT Deemed to be University, Bhubaneswar-751024, Odisha, India.
5. Dr Chandra Sekhar Rout, Centre for Nano and Material Sciences, Jain Global Campus, Jakkasandra, Ramanagaram, Bangalore – 562112, Karnataka, India
Social implications of the research
With the exponential development of portable/flexible electronics and the high demand for renewable energy, conventional energy-storage devices, such as supercapacitors, have attracted attention due to their benefits of fast charge/discharge rates, long cycle life, and high-power density. Similarly, developing novel functional materials with exceptional qualities could shed light on a plethora of challenges, including environmental pollution, energy crisis, etc. Two-dimensional (2D) layered materials, such as metallic 1T MoS2 single layers, SnSe2, MXenes, and black phosphorous (BP), have been intensively studied for supercapacitor applications. These materials benefit from efficient ion intercalation and electrosorption. The two-dimensional (2D) layered transition-metal dichalcogenides (TMDs) have recently piqued the scientific community’s curiosity.
- Published in Departmental News, News, Physics News, Research News
Dr Uma Maheswar to work on an overseas-funded project
Yet another moment of pride and honour for SRM University-AP as Dr Uma Maheswar Arepalli, Assistant Professor, Department of Civil Engineering in collaboration with Dr Ali Shirazi, Assistant Professor, Department of Civil Engineering, University of Maine, USA received a research project award from the Maine Department of Transportation, Maine, USA. The project titled “Comprehensive review of flexible pavement design approaches suitable to Maine conditions” received a total project outlay of $26,396 (Rs. 21.12 Lakhs).
This is the first of its kind project in India that receives funding directly from the foreign (United States) entity unlike the typical Department of Science & Technology (DST) International Bilateral Joint Project Schemes. This 8-month-long project will review the various existing flexible pavement design approaches in the USA and will provide recommendations to the Department of Transportation on a suitable design approach conducive to the conditions of Maine.
The outcome of the project will help the Department of Transportation to decide on a suitable pavement design approach that enhances the performance of pavements in Maine. The project engenders an opportunity for two under-graduate students of SRM University-AP to work as paid interns and receive international exposure in their prospective research areas. It also involves the scope for industry translatory research.
- Published in CIVIL NEWS, Departmental News, News, Research News