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  1. Welcome to IR @ NIT Rourkela

Recent Submissions

Deep Reinforcement Learning-based Dynamic Sharding for Blockchain IoT

Internet of Things (IoT) and Blockchain integration are having a huge impact on the future of technological progress. IoT has progressed from an emerging notion to a widely used technology, shaping the future of digital connectivity. With billions of networked IoT devices generating large amounts of data, efficient data management becomes critical. Blockchain has been explored extensively to enhance security in IoT networks however, its scalability limitations become evident when handl...

Sustainability Meets Sensation: How Employee Sustainability and AI Interaction Shape Employee Happiness

In the current volatile, uncertain, complex, and ambiguous technological landscape, the manufacturing sector of emerging economies faces critical challenges such as employee disengagement, escalating stress levels, and high attrition rates. While artificial intelligence (AI) is increasingly integrated into workplace processes, limited research examines AI sensation, employee sustainability, and its impact on employees’ emotional response. Addressing this gap, the present examines the impact o...

Mining, Precarity, and Particularly Vulnerable Tribal Groups: A Case of Paudi Bhuyan Residing in Kurmitar Iron Ore Mines of Odisha, India

Mining enclaves inhabited by Particularly Vulnerable Tribal Groups (PVTGs) in Odisha display the dynamic of exclusionary development that creates spaces of relentless accumulation alongside precarity. There is a need to make sense of the mineral-based development strategy, which is constituted by and constitutive of spatialisation of tribal precarity. It is also essential to examine how the mining-affected PVTGs exercise the agency to deal with precarity. Extant Indian literature does not spe...

Deep Reinforcement Learning-based Dynamic Sharding for Blockchain IoT

Internet of Things (IoT) and Blockchain integration are having a huge impact on the future of technological progress. IoT has progressed from an emerging notion to a widely used technology, shaping the future of digital connectivity. With billions of networked IoT devices generating large amounts of data, efficient data management becomes critical. Blockchain has been explored extensively to enhance security in IoT networks however, its scalability limitations become evident when handling lar...

Machine Learning Inspired Impedance Matching Prediction of Fractal Gasket Antenna

This work aims to provide a machine learning inspired design technique of fractal gasket antenna (FGA). Considering the diverse applications of fractal gasket antenna in providing high pattern diversity, low cross-polarization, etc., it has become a popular candidate in next generation planar pcb technology. The planar structure of the fractal gasket provides the benefit of easier integration with other circuit components. However, the design and analysis of FGA is dominantly done through ful...

A Characterization of k−Generalized Fibonacci Numbers as Concatenations and Differences of repdigits

The k-Generalized Fibonacci sequence is a generalization of the classic Fibonacci sequence with some fixed integer k ≥ 2. In this paper, we identify all k-Generalized Fibonacci numbers which can be represented as concatenation of three repdigits. This work builds upon and extends the previous research by Erduvan and Keskin, who identified all the Fibonacci numbers with this property. Using the former result we explore all the k−Generalized Fibonacci numbers, which can be expressed as the diff...

DGE2I-Net: Exploring Depth Gait Energy and Entropy-Based Image Features for Human Gait Classification Using Deep Neural Networks

Image-based gait analysis has become an important research area for extracting comprehensive features for classification of gait abnormality. However, traditional Image-based models mostly focus on the pattern analysis from the image sequences, which affects the efficiency of the classification model. To overcome this problem, Gait Energy Image and Gait Entropy Image are used as silhouette-based feature extraction methods. But these silhouette-based methods frequently face challenges due to v...

Local Institutions and the Road to Viksit Bharat@2047: Shaping Sustainable Development and Governance in Smart Cities in Odisha

Local institutions are central to achieving the vision of Viksit Bharat@2047 by ensuring sustainable development and inclusive governance at the grass-root level. This paper presents the findings of research, which focused on the role of Slum Dweller Associations (SDAs) as local institutions in shaping governance and development for the urban poor in two Smart Cities of the eastern Indian state of Odisha. Based on a study of fifty-one slums across Bhubaneswar and Rourkela, the study employs a...

When Words Mislead: A Typology of Deceptive Communication in Online Returns

Marketing communications are one of the major strategies of any company to succeed in the competitive atmosphere. The effectiveness of their marketing communications is reflected in acquisitions of new customers and the generation of revenue. However, sometimes to achieve some of the marketing objectives, marketers breach the ethics of marketing communications and indulge in deceptive marketing communication practices. Hence the purpose of this study is to extend the prior knowledge of decept...

Investigation of Wire-EDM of Cryo-Treated Hastelloy C276: Experimental and Numerical Simulation

Hastelloy C-276 is high temperature and corrosion resistant superalloy which contained Nickel, Chromium and molybedenum. With cryo-treatment, there is further enhancement of mechanical strength and wear resistance. The application of the Hastelloy C-276 is wider. Few applications are chemical processing component such as preheater, heat exchanger, reaction vessel, transfer pipe, pollution control stack liner, ducts, dumpers, scriber, fan, fan housing, flue gas desulphurization system, waste t...

Rooted in Reverence: Preserving Culture and Heritage in Mangar Bani and Sarna Toli Sacred Groves

Sacred groves, which have long been considered ecological and spiritual refuges, reflect the link between nature, culture, and belief systems. This research examines cultural integration and heritage conservation in two ecologically and culturally important sacred groves in India—Mangar Bani of Haryana and Sarna Toli of Odisha. Both are exemplary models of Indigenous stewardship, where cultural taboos, rituals, and traditional ecological knowledge (TEK) are involved in conserving biodiversity...

Optimization of Extraction of Lignin as a Value-Added Product from Pomegranate Peel Bioresource Using a Green Solvent System

The present work investigated the efficacy of a green deep eutectic solvent (DES) for the extraction of lignin from pomegranate peel as a potential bioresource and optimizing the extraction parameters for improving its yield. To this end, DES comprising of choline chloride and oxalic acid was used for extraction. The yield and purity of lignin were 22.44±4.38% and 77±1.95% and the extracted lignin was comprehensively characterized. UV-visible and Fourier Transform Infrared Spectroscopy analys...

Multi-Modal Semantic Communication Systems for Sustainability: A Comprehensive Survey

The proliferation of wireless devices and the evergrowing demands for multimedia applications have resulted in bandwidth shortage and are putting a massive strain on the network resources. To overcome these shortcomings, semantic communication has come to the forefront, where only the important data features can be transmitted instead of the conventional bit-level transmission, thereby saving bandwidth and resources and achieving sustainability. Depending on the application and data, semantic...

Post-combustion CO2 Capture from CI Engine Using Adsorbents: A Comparative Experimental Investigation

Global warming and climate change are the main culprits of our environment. These consequences are caused by the rapid increase of anthropogenic greenhouse gases, especially carbon dioxide (CO2) in the atmosphere. Carbon Capture and Storage is an effective way to abate CO2 emissions emitted by fossil fuel burning. Post-combustion carbon capture is the most mature and well-recognized process used for existing retrofit systems. At the first step, biomass of eucalyptus wood and coconut shell are...

Enhancement of Indoor Air Quality Using Portable Air Purifiers with UV-C Sterilization

Air pollution caused by airborne microorganisms—including viruses, bacteria, and fungi—poses significant risks to human health, extending beyond the well-known effects of particulate matter (PM2.5). Conventional air purifiers are mainly designed to capture fine particles, but recent global health challenges such as the COVID-19 pandemic have emphasized the importance of technologies that also deactivate harmful pathogens. This study reviews common indoor pollutants, their associated health im...

Stirling Cryocooler Modeling Using Regenerator Temperature Corrected Second-Order Analysis

The second-order analysis of Stirling cryocoolers (SC) involves idealistic predictions of the cooling effect and coefficient of performance (COP) using the equation of state, ideal isentropic compression, and isothermal expansions. However, the previous analyses incorporated several unreasonable approximations to aggregate the temperature variations. For example, the temperature variation in a regenerative heat exchanger is expressed as a logarithmic mean of the compressor and expansion tempe...

BrainResMambaVision-18 An Transformative approach for Enhanced Multi-class Classification

The classification of brain tumor classes is a crucial task, as handcrafted feature extraction yields limited accuracy. The proposed BrainResMambaVision-18 classifies the tumor into multi-classes of Meningioma, Glioma, and Pituitary tumors to overcome the problem of handcrafted features. BrainResMambaVision-18 leverages long-sequence global dependencies similar to Vision Transformer. The MambaVision uses the weights and biases of finetuned ResNet-18 to capture local features efficiently. The ...

A Micro-Orifice Throttle Valve Design for The Joule-Thomson Cryocooler

Compact cryocoolers are crucial for applications requiring temperatures as low as 6 K under micro-scale cooling loads. Among various cryocooler types, the Joule-Thomson (JT) cryocooler stands out due to its compactness, zero vibration, and low noise characteristics, making it ideal for sensitive and space-constrained environments. To enhance the miniaturization of such systems, micro-orifice throttle valves are employed to create a significant pressure drop, enabling effective cooling in the ...

Unveiling Aerosol Deposition Dynamics in a Disease-Specific Lung Model Under Realistic Breathing Pattern

This study examines the impact of tracheal stenosis on aerosol particle deposition (1, 5, and 10 μm) in a disease-specific human lung model. A computed tomography scan-based 3D airway model covering generations 0 to 4 (G0-G4) has been developed for a male adult. Two tracheal stenosis severity levels, mild (15%) and extreme (85%), were simulated. The airflow was modeled using the Reynolds-averaged Navier-Stokes (RANS) equations with the shear stress transport (SST) k-ω turbulence model, while ...

Experimental Investigation on Charging and Discharging Behavior of Paraffin Wax Capsules for Thermal Energy Storage

This study presents an experimental analysis of charging and discharging characteristics of paraffin wax encapsulated in red sand for thermal energy storage applications. Paraffin wax with a melting temperature range of 45–75 °C was used as the core material because of its non-toxicity, chemical stability, and high latent heat capacity. Red sand, available locally, was chosen as the shell material owing to its low cost and ability to form mechanically stable structures when mixed with water a...

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National Institute of Technology- Rourkela 5120

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Author
  • 40 Ray, P K
  • 40 Sarangi, S K
  • 39 Behera, Ajit
  • 38 Ghosh, Arnab
  • 33 Biswal, B B
  • 33 Mohapatra, Durga Prasad
  • 33 Nanda, P K
  • 32 Khatua, K K
  • 32 Sahoo, S
  • 31 Kumar, A
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  • 33 Fly ash
  • 31 SEM
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  • 23 Deep Learning
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  • 23 OFDM
  • 22 Optimization
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