Lakshminath Bezbaroa Central Library Digital Repository
Welcome to the Institutional Digital Repository of Lakshminath Bezbaroa Central Library.
- This digital archive comprised of the Institutes' intellectual output.
- It manages, preserves & makes available the academic works of faculty and research scholars.
- It is established to facilitate deposit of digital content of scholarly or heritage nature.
- Allowing academics & their departments to share & preserve contents in a managed environment.
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Recent Submissions
Development of Bio-Composite Blades for Straight Darrieus Wind Turbines
(2024) Bora, Mridusmita
In the present modernized world, with the increase in energy demand, conventional energy sources are not only towards the depletion stage but also causing serious adverse effects on the environment. The escalating environmental concerns and the urgent need for sustainable energy solutions have intensified the quest for renewable energy sources. Among the various renewable sources, wind is the most viable and practical form, generating a large amount of usable electricity. However, the conventional materials used in the construction of wind turbine blades such as glass/carbon fiber reinforced polymers (FRPs) have raised serious environmental concerns due to their non-biodegradable nature and reliance on fossil fuels during manufacturing. To address these challenges, the development of bio-composite materials represents an environmentally friendly alternative for wind turbine blades. These composites possess several advantages over conventional composites, including a low carbon footprint, better recyclability, and possible improved mechanical properties.
"Development of Wearable Systems for the Detection and Classification of Knee Osteoarthritis and its Validation through Radiographic Images"
(2024) Verma, Dhirendra Kumar
"Knee osteoarthritis (OA) is a prevalent degenerative joint disorder characterized by a gradual degeneration of articular cartilage, leading to joint stiffness, discomfort, and restricted joint movements. The conventional diagnostic
methods of knee OA include clinical assessments and radiographic imaging, often limited to early diagnosis,treatment cost, and sensitivity. The chronic condition of osteoarthritis may lead to total knee replacement surgeries.Early intervention in knee OA can prevent such painful surgeries and also saves on the cost of treatments. In recent decades, sensor-based disorder detection has received focused attention in OA identification. These procedures are non-invasive and very helpful in the early detection of OA. The primary objective of this research is to develop wearable systems for the detection of knee osteoarthritis and classification of it using acoustic emission technology
and validate through radiographic images. In the present work, a total of two hundred ten human subjects from various places in the North-Eastern region of India have participated, and the acoustic waves generated from their knees during 0°-90° sit-stand-sit (S-T-S) activity are captured using AE sensors to diagnose different stages of OA. All subjects are examined through the digital goniometer and acoustic sensors placed at their medial tibiofemoral knee joint locations. Joint angle-based signal features are recorded for biomarker identification under the S-T-S data collection protocol. Joint space narrowing (JSN) of the knee for OA subjects is calculated through image processing of the knee X-ray, and the AE findings are validated from the obtained JSN and Kellgren-Lawrence (KL) grades. Results obtained from the study demonstrate distinct AE signal patterns in participants with knee osteoarthritis compared to healthy individuals. Moreover, a significant difference is observed among AE parameters in all OA grade participants, and the KL grades are classified through JSN obtained from radiographic findings. All signal parameters are acquired in increasing order with decreased JSN among the KL grades. The highest values of signal features like the number of acoustic hits 167±11, amplitude 76±1 (dB), signal duration 10±3 (ms), absolute energy 401±151 (fJ ), and signal frequency 103±3 (kHz) are identified as per their dominance and suitability as a biomarker in the KL-4 grade group. The outcomes from two-dimensional Principal Component Analysis (PCA) analysis are evaluated for primary biomarker identification for OA detection, and it is revealed that sound amplitude (dB) is the most dominating feature in the first principal component. In summary, the AE technology is successfully validated in a quantitative assessment of OA detection. The KL grade groups are distinguished successfully based on the obtained signal parameters and their validation through JSN confirmed the classification of grades among the groups. The study findings concluded that the AE is found to be a promising tool for the quantitative evaluation of knee OA using acoustic sensors and has proven efficacy in signal feature identification and differentiation among the KL grades.Further, sensor based wearable systems are successfully developed for knee joint OA detection. AE can be used as a non-invasive and non-radiographic tool for the progressive monitoring of knee osteoarthritis, which could be explored for the continual monitoring of cartilage degradation.
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Studies On the Influence of Admixtures On the Permeation and Mechanical Characteristics of Foam Concrete for Use in Light-Weight Interlocking Blocks
(2024) Kamisetty, Abhishek
"Foam concrete (FC), generally classified as a cellular light-weight concrete with density ranging from 400 kg/m3 –
1850 kg/m3, is produced by the introduction of stable air voids into the cement paste (or mortar). Based on the
existing literature, it is evident that besides the conventional filling and thermal insulation applications, FC also has
potential for specialized applications such as stabilization of weak soils, seismic isolation medium for underground
reactor containments and tunnel linings and subbase layer in case of road pavements. Further, highly permeable
material such as FC, has the potential to stabilize unstable slopes, through its application in landfills, horizontal/
vertical drains and retaining walls and providing reliable drainage path in order to dissipate pore water pressure and
make slopes drier and stronger. However, the literature review concludes that the quantum of research reported in
aforementioned areas is very limited"
Becoming Modern: Transitions in Everyday Culture, Naga Hills, 1890s-1950s
(2024) Assumi, Vikavi K
"The thesis examines the cultural transitions that occurred in the everyday life of the Nagas,
especially the Sumi Nagas from the late nineteenth century to mid-twentieth century, and the extent
to which such transitions became crucial for the construction of the modern Naga self. The cultural
transitions in everyday life, which was mediated by British administrators, American Baptist
missionaries and the larger aspirations of the Nagas to become ‘modern’, has been examined by
tracking the changes that occurred in the domains of clothing and bodily practices, food and dietary
practices, habitation and spatial practices."
Unravelling discrepancies and overlooking risks: future climate analysis & decision-making in the Brahmaputra River Basin
(2024) Bhaduri, Rupam
The Brahmaputra River Basin (BRB) is a vulnerable ecosystem increasingly threatened by climate change, impacting millions of people who depend on it. Despite its significance, geopolitical tensions in the region have limited comprehensive research on climate change's effects, raising concerns about the potential maladaptation of planned water infrastructure projects, particularly hydropower dams. This thesis investigates the relationship between climate change and hydropower development in the BRB, aiming to understand how hydropower projects incorporate scientific knowledge on future climate change.