• Comprehensive Analysis of Solar Panel Performance and Correlations with Meteorological Parameters 

      Sarmah, Pranjal; Das, Dipankar; Saikia, Madhurjya; Kumar, Virendra; Yadav, Surendra Kumar; Paramasivam, Prabhu; Dhanasekaran, Seshathiri (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-12-08)
      To mitigate the adverse effects of fossil fuel-based energy, mankind is in constant search of clean and cost-effective sources of energy, such as solar energy. The economic viability of a power plant to harness solar energy mostly depends on the efficiency of solar panels. Investigations over the years show that the solar panel efficiency significantly depends on the different meteorological parameters. ...
    • Data Analysis Techniques for Smart Nudging 

      Dhanasekaran, Seshathiri; Andersen, Anders; Karlsen, Randi; Håkansson, Anne (Conference object; Konferansebidrag, 2021)
      <p>Nudge principles and techniques are significant in communications, marketing, and groups’ motivation to improve personal health, wealth, and well-being. We make numerous decisions in online situations. People’s health and well-being have garnered widespread interest and concern in this wearable’s age. Smart nudging is defined as “digital nudging, where the guidance of user behavior is tailored ...
    • Data collection and analysis methods for smart nudging to promote physical activity: Protocol for a mixed methods study 

      Dhanasekaran, Seshathiri; Andersen, Anders; Karlsen, Randi; Håkansson, Anne; Henriksen, André (Journal article; Tidsskriftartikkel; Peer reviewed, 2023)
      New digital technologies like activity trackers, nudge concepts, and approaches can inspire and improve personal health. There is increasing interest in employing such devices to monitor people’s health and well-being. These devices can continually gather and examine health-related information from people and groups in their familiar surroundings. Context-aware nudges can assist people in self-managing ...
    • Data collection and smart nudging to promote physical activity and a healthy lifestyle using wearable devices 

      Dhanasekaran, Seshathiri; Andersen, Anders; Karlsen, Randi; Håkansson, Anne; Henriksen, André (Chapter; Bokkapittel, 2022-08-22)
      Nudge principles and techniques can motivate and improve personal health through emerging digital devices, such as activity trackers. Tracking people's health and well-being using such devices have earned widespread interest. These devices can continuously capture and analyze health-related data from individuals and communities in their everyday environment. Providing context-aware nudges can help ...
    • Deep Learning for Enhanced Fault Diagnosis of Monoblock Centrifugal Pumps: Spectrogram-Based Analysis 

      Chennai Viswanathan, Prasshanth; Venkatesh, Sridharan Naveen; Dhanasekaran, Seshathiri; Mahanta, Tapan Kumar; Sugumaran, Vaithiyanathan; Lakshmaiya, Natrayan; Paramasivam, Prabhu; Nanjagoundenpalayam Ramasamy, Sakthivel (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-08-31)
      Abstract The reliable operation of monoblock centrifugal pumps (MCP) is crucial in various industrial applications. Achieving optimal performance and minimizing costly downtime requires effectively detecting and diagnosing faults in critical pump components. This study proposes an innovative approach that leverages deep transfer learning techniques. An accelerometer was adopted to capture vibration ...
    • Effectiveness of LRB in Curved Bridge Isolation: A Numerical Study 

      Gupta, Praveen Kumar; Ghosh, Goutam; Kumar, Virendra; Paramasivam, Prabhu; Dhanasekaran, Seshathiri (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-11-07)
      Lead Rubber Bearings (LRBs) represent one of the most widely employed devices for the seismic protection of structures. However, the effectiveness of the same in the case of curved bridges has not been judged well because of the complexity involved in curved bridges, especially in controlling torsional moments. This study investigates the performance of an LRB-isolated horizontally curved ...
    • Enhancing mechanical performance of TiO<inf>2</inf> filler with Kevlar/epoxy-based hybrid composites in a cryogenic environment: a statistical optimization study using RSM and ANN methods 

      Natrayan, L.; Janardhan, Gorti; Paramasivam, Prabhu; Dhanasekaran, Seshathiri (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-11-24)
      This research aims to investigate the mechanical performance of the different weight proportions of nano-TiO<sub>2</sub> combined with Kevlar fiber-based hybrid composites under cryogenic conditions. The following parameters were thus considered: (i) Kevlar fiber mat type (100 and 200 gsm); (ii) weight proportions of TiO2 nanofiller (2 and 6 wt%); and (iii) cryogenic processing time (10–30 min at ...
    • Experimental probe into an automative engine run on waste cooking oil biodiesel blend at varying engine speeds 

      Biswakarma, Keshab; Sarmah, Pranjal; Paramasivam, Prabhu; Dhanasekaran, Seshathiri; Kumar Yadav, Surendra; Kumar, Virendra (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-04-13)
      The present work attempts to evaluate the performance of an automotive diesel engine run on waste cooking oil biodiesel (WCO) blend at variable engine speeds. The composition of the blend (B40) used in the study is 40% WCO and 60% diesel by volume and the engine used for the experimentation is a naturally aspirated, watercooled and direct injection type having a compression ratio of 18:1. The ...
    • Framework of Transactive Energy Market Strategies for Lucrative Peer-to-Peer Energy Transactions 

      Loganathan, Arun S.; Ramachandran, Vijayapriya; Perumal, Angalaeswari Sendraya; Dhanasekaran, Seshathiri; Lakshmaiya, Natrayan; Paramasivam, Prabhu (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-12-20)
      Leading to the enhancement of smart grid implementation, the peer-to-peer (P2P) energy transaction concept has grown dramatically in recent years allowing the end-users to successfully exchange their excess generation and demand in a more profitable way. This paper presents local energy market (LEM) architecture with various market strategies for P2P energy trading among a set of end-users ...
    • Influence of Biosynthesized Nanoparticles Addition and Fibre Content on the Mechanical and Moisture Absorption Behaviour of Natural Fibre Composite 

      Lakshmaiya, Natrayan; Ganesan, Velmurugan; Paramasivam, Prabhu; Dhanasekaran, Seshathiri (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-12-19)
      This study looks at how incorporating nanofiller into sisal/flax-fibre-reinforced epoxy-based hybrid composites affects their mechanical and water absorption properties. The green Al2O3 NPs are generated from neem leaves in a proportion of leaf extract to an acceptable aluminium nitrate combination. Both natural fibres were treated with different proportions of NaOH to eliminate moisture absorption. ...
    • An investigation of combined effect of infill pattern, density, and layer thickness on mechanical properties of 3D printed ABS by fused filament fabrication 

      Agrawal, Anant Prakash; Kumar, Virendra; Kumar, Jitendra; Paramasivam, Prabhu; Dhanasekaran, Seshathiri; Prasad, Lalta (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-05-23)
      Additive manufacturing technology and its benefits have a significant impact on different industrial applications. The 3D printing technologies help manufacture lightweight intricate geometrical designs with enhanced strengths. The present study investigates the blended effects of previously recommended parameters of different infill patterns (line, triangle, and concentric) and infill densities ...
    • A Modified LeNet CNN for Breast Cancer Diagnosis in Ultrasound Images 

      Balasubramaniam, Sathiyabhama; Velmurugan, Yuvarajan; Jaganathan, Dhayanithi; Dhanasekaran, Seshathiri (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-08-24)
      Convolutional neural networks (CNNs) have been extensively utilized in medical image processing to automatically extract meaningful features and classify various medical conditions, enabling faster and more accurate diagnoses. In this paper, LeNet, a classic CNN architecture, has been successfully applied to breast cancer data analysis. It demonstrates its ability to extract discriminative ...
    • Multi-Objective Optimal Scheduling of a Microgrid Using Oppositional Gradient-Based Grey Wolf Optimizer 

      Rajagopalan, Arul; Nagarajan, Karthik; Montoya, Oscar Danilo; Dhanasekaran, Seshathiri; Abdul Kareem, Inayathullah; Sendraya Perumal, Angalaeswari; Lakshmaiya, Natrayan; Paramasivam, Prabhu (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-11-29)
      Optimal energy management has become a challenging task to accomplish in today’s advanced energy systems. If energy is managed in the most optimal manner, tremendous societal benefits can be achieved such as improved economy and less environmental pollution. It is possible to operate the microgrids under grid-connected, as well as isolated modes. The authors presented a new optimization algorithm, ...
    • Numerical Investigation of Radiative Hybrid Nanofluid Flows over a Plumb Cone/Plate 

      Peter, Francis; Sambath, Paulsamy; Dhanasekaran, Seshathiri (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-10-18)
      Non-Newtonian fluids play a crucial role in applications involving heat transfer and mass transfer. The inclusion of nanoparticles in these fluids improves the efficiency of heat and mass transfer processes. This study employs a numerical solution approach to examine the flow of non-Newtonian hybrid nanofluids over a plumb cone/plate surface, considering the effects of magnetohydrodynamics (MHD) and ...
    • Selection of Response Reduction Factor Considering Resilience Aspect 

      Prasanth, S.; Ghosh, Goutam; Gupta, Praveen Kumar; Kumar, Virendra; Paramasivam, Prabhu; Dhanasekaran, Seshathiri (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-02-27)
      The selection of an adequate response reduction factor (R) in the seismic design of a reinforced concrete building is critical to the building’s seismic response. To construct a robust structure, the R factor should be chosen based on the building’s resilience performance. Since no background was provided for the selection of R factors, the study focuses on the right selection of R factors in relation ...
    • Statistical experiment analysis of wear and mechanical behaviour of abaca/sisal fiber-based hybrid composites under liquid nitrogen environment 

      Natrayan, L.; Surakasi, Raviteja; Paramasivam, Prabhu; Dhanasekaran, Seshathiri; Kaliappan, S.; Patil, Pravin P. (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-08-04)
      Ice accretion on various onshore and offshore infrastructures imparts hazardous effects sometimes beyond repair, which may be life-threatening. Therefore, it has become necessary to look for ways to detect and mitigate ice. Some ice mitigation techniques have been tested or in use in aviation and railway sectors, however, their applicability to other sectors/systems is still in the research phase. ...
    • Tanning Wastewater Sterilization in the Dark and Sunlight Using Psidium guajava Leaf-Derived Copper Oxide Nanoparticles and Their Characteristics 

      Lakshmaiya, Natrayan; Surakasi, Raviteja; Nadh, V. Swamy; Srinivas, Chidurala; Kaliappan, Seniappan; Ganesan, Velmurugan; Paramasivam, Prabhu; Dhanasekaran, Seshathiri (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-10-09)
      Employing Psidium guajava (P. guajava) extract from leaves, copper oxide nanoparticles (CuO NPs), likewise referred to as cupric oxide and renowned for their sustainable and harmless biogenesis, have the possibility of being useful for the purification of pollutants as well as for medicinal purposes. The current study examined the generated CuO NPs and their physical qualities by using ultraviolet−visible ...
    • Transfer Learning Based Fault Detection for Suspension System Using Vibrational Analysis and Radar Plots 

      Sai, Samavedam Aditya; Venkatesh, Sridharan Naveen; Dhanasekaran, Seshathiri; Balaji, Parameshwaran Arun; Sugumaran, Vaithiyanathan; Lakshmaiya, Natrayan; Paramasivam, Prabhu (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-07-26)
      The suspension system is of paramount importance in any automobile. Thanks to the suspension system, every journey benefits from pleasant rides, stable driving and precise handling. However, the suspension system is prone to faults that can significantly impact the driving quality of the vehicle. This makes it essential to find and diagnose any faults in the suspension system and rectify them ...
    • Unified Power Control of Permanent Magnet Synchronous Generator Based Wind Power System with Ancillary Support during Grid Faults 

      Ramachandran, Vijayapriya; Sendraya Perumal, Angalaeswari; Lakshmaiya, Natrayan; Paramasivam, Prabhu; Dhanasekaran, Seshathiri (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-10-08)
      A unified active power control scheme is devised for the grid-integrated permanent magnet synchronous generator-based wind power system (WPS) to follow the Indian electricity grid code requirements. The objective of this paper is to propose control schemes to ensure the continuous integration of WPS into the grid even during a higher percentage of voltage dip. In this context, primarily a constructive ...
    • Utilizing Alike Neighbor Influenced Similarity Metric for Efficient Prediction in Collaborative Filter-Approach-Based Recommendation System 

      Singh, Raushan Kumar; Singh, Pradeep Kumar; Singh, Juginder Pal; Singh, Akhilesh Kumar; Dhanasekaran, Seshathiri (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-11-17)
      The most popular method collaborative filter approach is primarily used to handle the information overloading problem in E-Commerce. Traditionally, collaborative filtering uses ratings of similar users for predicting the target item. Similarity calculation in the sparse dataset greatly influences the predicted rating, as less count of co-rated items may degrade the performance of the collaborative ...