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A Low-Power Analog Front End Circuits for Portable Bio-Medical Devices
(National Institute of Technology, Silchar, 2026) Prasad, Ronanki Sai
A Two-Stage Method for Damage Detection in Members and Joints of Steel Frames
(National Institute of Technology, Silchar, 2026) Sagar, Sharjid
Accurate Dynamic Line Rating Forecasting using Quantum Models
(National Institute of Technology,Silchar, 2026) Panmei, Jaojenlung
ASSESSMENT OF ROAD CONNECTIVITY USING GIS: A CASE STUDY OF HAILAKANDI DISTRICT
(National Institute of Technology, Silchar, 2026) Chauhan, Rohit
In most districts in India, the existing road network is unable to meet the increasing travel demand. Effective utilisation is required due to the transportation system's high development costs, and this can only be achieved with proper connectivity. In this study, an attempt was made to analyse and evaluate the road network structure of Hailakandi District in terms of its connectivity and coverage. The District was analysed three times, considering different types of analytical units, i.e., District, Blocks and Grids of 10 sq. Km, and a comparison was made among the results obtained using different analytical units. This comparison highlighted errors that occurred when using a smaller area size as analytical units in connectivity analysis. Hence, this research suggested that the analytical area should be kept as large as operationally feasible. Also, this research sought to improve the existing methodology for connectivity analysis by introducing a new index, the c-index that accounts for the effect of road category. Based on the findings, a set of recommendations was also proposed.
Bearing Capacity Enhancement of Poor Soils Using Floating Stone-Filled Bamboo
(National Institute of Technology,Silchar, 2026) Kumar, Aditya
In this study we have try to investigate Bearing Capacity Enhancement of Poor Soils Using Floating Stone-Filled Bamboo is based on my project work where I tried to understand how soft soil (Clay soil) can be improved in simple and economical way. In starting our main aim to see how bamboo and stone combination behave when placed in soft soil conditions. After completion of several experiments we have to analysis, numerical modelling was carried out and different cases were analysed step by step. During the all process we have to seen, it was observed that some cases shows better load carrying capacity while others not giving that much improvement load bearing capacity. The comparison of results helped to find which arrangement is performing more efficiently. One important thing I noticed is that small change in spacing and depth can affect the overall response in significant way. The results obtained are quite useful for practical ground improvement techniques. In the end, this work gives a better idea about how sustainable materials like bamboo can be used to improve foundation performance in real field conditions.
Classification of Diabetic Retinopathy and Macular Edema through Segmented Retinal Vessels using Graph Neural Network
(National Institute of Technology, Silchar, 2026) Mutyala, Sukumar Vamsi
Every year, countless people go blind from diabetic retinopathy and macular edema and the tragic reality is that most of them didn’t have to. These conditions can largely be stopped in their tracks, but only if they’re caught early enough, before the damage becomes permanent. That early window depends entirely on a doctor’s ability to see what’s actually going on inside the eye. This is why having accurate, detailed maps of the retina’s blood vessels matters so much. The problem is that current deep learning models tend to fall short in exactly the ways that matter most. They produce broken, incomplete vessel maps missing the tiny capillaries and dropping connections between vessels which are precisely the features a doctor needs to identify the earliest warning signs. To solve this problem, this paper introduces a three stage hybrid framework. It takes three steps to operate the pipeline. First, a dual-encoder graph convolutional network (DE-DCGCN-EE) is used to detect the boundaries of the vessels and model the relationships among the colour channels. Second, a novel VessGAT-SAM2 combination of SAM2 and a Graph Attention Network repairs broken vessel segments, ensures vessel continuity in thin capillaries and generates topologically accurate masks. Third, the multi modal classifier combines the fundus image, the refined vessel mask and the SLIC superpixel maps to predict diabetic retinopathy grade (0-4) and the presence of macular edema. The whole pipeline is trained end-to-end with a joint loss function that reflects the correlation between both conditions. For that purpose, experiments were conducted on four datasets which are publicly available: DRIVE, PRIME-FP20, Messidor-2 and IDRiD. The outcomes were impressive. The overall results were superior to the traditional ones like U-Net, standalone SAM2 and GCN based ones in terms of both accurate segmentation of the vessels and classification of the disease. Most crucially, it remained robust in a variety of datasets, and continued to reveal the fine vessel structures that are important to real clinical significance. This is an exciting step towards the development of automated screening systems, which may help to prevent vision loss due to diabetic eye disease.
Comparative Fatigue Life Assessment of Beryllium Copper and Stainless-Steel Wave Spring for Automobile Suspension System
(National Institute of Technology, Silchar, 2026) Fayaz, Mohammed
Shock absorber springs are critical for mitigating kinetic energy in suspension systems.While wave springs offer a compact, lightweight alternative to traditional coil springs for space constrained applications, their sharp cross-sectional edges often cause higher stress concentrations. To address this, this study compares the performance of Beryllium Copper(C17200) and Stainless Steel(ASTM A313) wave springs under an ISO 8608 road profile using random vibration analysis. Evaluated the fatigue life through the Steinberg formulation and S-N approach, the Beryllium Copper(C17200) wave spring demonstrates an 15% improvement in fatigue life over the Stainless Steel (ASTM A313). And the BeCu(C17200) wave spring provides approximately 16% lower total life cycle cost than stainless steel(ASTM A313). These findings make an attempt to select the best material for automotive suspension system.
Comprehensive Analysis of SoC Physical Design Quality with Timing, Power Integrity, and PVT Variability Considerations
(National Institute of Technology, Silchar, 2026) Gandhi, Himanshu
Computational Modelling of Fluid Flow through Non-Isothermal Discrete Fracture Network in Enhanced Geothermal Systems
(National Institute of Technology, Silchar, 2026) Hazarika, Rishabh
Design and Analysis of a Low-Power, Low-Jitter LC Oscillator with Capacitor Bank Tuning for Bluetooth, WiFi Applications
(National Institute of Technology, Silchar, 2026) Bharti, Anupama
Almost every modern device from smartphone and wi-fi router to Bluetooth gadgets we use is based on wireless communication. These devices works on stable and accurate frequency generation which is local oscillator (LO) frequency. At the heart of this local oscillator frequency is the Phase-Locked Loop circuit. The overall performance of PLL is strongly influenced by Voltage controlled Oscillator (VCO), acting as the main component of PLL circuit. The VCO directly impacts various parameters such as phase noise, tuning range, lock time, power consumption, jitter etc. A poorly designed VCO can easily limit the performance of the whole system, while a carefully optimized VCO design can significantly improve the signal quality and robustness of the system. Various techniques are developed to address these challenges while achiving optimized circuit design. This project focuses on design and implementation of a differential LC VCO for Bluetooth and wifi applications in 65 nm CMOS technology using Cadence Virtuoso tool. Starting from the basic concepts of PLL and VCO operation, the report briefly reviews different oscillator types and explains the importance of LC-based VCO which are preferred for RF applications. A concise literature review summarizes several state of the art of PLL and VCO designs, highlighting their frequency range, tuning range, phase noise, power consumption and implementation technology. The VCO uses a complementary cross coupled NMOS–PMOS pair to generate the negative resistance required to cancel tank losses and sustain oscillation. The Channel length optimization technique is employed to improve the vco transconductance ‘gm’ making it sufficient to compensate for the losses in tank. The LC tank is designed around a target frequency around which Bluetooth, wifi, zigbee etc works and the device sizes are choosen to meet the required transconductance and output swing as swing below 600mV leads the oscillation to die out. The design is implemented and simulated in Cadence, and key results such as oscillation frequency, tuning behavior, output swing, power consumption, senstivity ‘KVCO’ variation, and phase noise are analyzed. In this work, the systematic design and optimization of a low-power, low-phase-noise, and low jitter LC based voltage-controlled oscillator (LC VCO) is implemented in 65nm CMOS technology. A dual path tuning topology is implemented to achieve a wide tuning xii range as well as low phase noise. Capacitor bank is designed for coarse tuning path by utilizing a digitally controlled capacitor bank to achieve the required bandwidth of approximately 400MHz with 15 % tuning range and the fine tuning path is employed by by keeping the varactor varactor size small for achieving minimal sensitivity ‘KVCO’. The design is compared with the existing LC VCOs to highlight its advantages. Simulation results demonstrate the improved performance, with a figure of merit(FoM) of 189. Process, Voltage, and Temperature (PVT) variations and Monte Carlo simulations are also performed to check the robustness of the device. Thus, the result conform the design reliability across different conditions. The LC VCO design successfully illustrate the critical trade-off between various performance parameter. This results established a practical methodology for high performance RF synthesizer design with 180nm channel length making it ready for full PLL integration.
Design and Analysis of Eddy Current-Based Non-Contact MEMS Sensor for Detection of Pesticides
(National Institute of Technology, Silchar, 2026) Chhajer, Shivang
Development of CMIP6 Based Data-driven Rainfall Models Using Machine Learning and Deep Learningfor Early Detection of Future Extreme Events
(National Institute of Technology, Silchar, 2026) Phukan, Annwesha
Effect of High Temperature on Mode I Intralaminar Fracture Toughness
(National Institute of Technology, Silchar, 2026) Kumar, Pinisetti Praveen
This study explored fracture behaviour of two types of glass-fiber-reinforced polymer (GFRP) – a pultruded I-beam and a hand-layup sheet – behave under high temperature. The pultruded profile contained about 73% glass fiber by weight with three different fiber layers (random mat, combined mat, and unidirectional 0° mat), while the hand-layup laminate had roughly 40% fiber with a 0° core and random outer skins. Mechanical tests showed that both materials are much stronger along the fiber direction than across it. Fracture toughness was measured using single-edge notch bending (SENB) tests at room temperature and after heating to 60 °C, 100 °C, 200 °C, and 300 °C. At room temperature, the critical stress intensity factor (K1c) was 26.5 MPa·mm1/2 for the profile and 22.6 MPa·mm1/2 for the laminate. After heating, the peak load rose slightly at 100 °C (possibly from extra curing) but fell sharply at 200 °C and 300 °C due to matrix breakdown; at 400 °C the resin melted completely. A 2D Abaqus model using CPS4R elements for the bulk GFRP and COH2D4 cohesive elements for the crack path, with Hashin damage, successfully reproduced the experimental trend – simulated peak loads dropped from 2.89 kN at room temperature to 0.78 kN at 400 °C. Damage patterns shifted from brittle at low temperatures to more ductile at high temperatures. Overall, GFRP works well up to about 200 °C, and the numerical model provides a useful way to predict its fracture behaviour under heat.
EFFICIENT REMOVAL OF CATIONIC SURFACTANT FROM AQUEOUS SOLUTIONS USING ALGINATE MORINGA COMPOSITE BEAD IN HYDROGEL AND DRY CONDITION.
(National Institute of Technology, Silchar, 2026) SAHU, VIDHAN CHANDRA
ENZYME INDUCED CARBONATE PRECIPITATION (EICP) TECHNIQUE USED FOR STABILIZATION OF PEAT
(National Institute of Technology,Silchar, 2026) MAZUMDAR, PUSPAM
Peat poses severe geotechnical challenges due to its high organic content, excessive compressibility, and extremely low shear strength. To overcome these geotechnical challenges a sustainable bio-mediated stabilization techniques is used i.e. Enzyme-Induced Carbonate Precipitation (EICP). This study aims to evaluate the effectiveness of EICP for stabilizing peat and examining its strength improvement, durability behaviour and microstructural modifications. EICP utilizes free urease enzyme extracted from soybean and urea–calcium chloride cementation solutions at different concentrations of 0.75 M, 1.0 M, and 1.5 M leading to precipitation of calcium carbonate (CaCO3) within peat. Laboratory investigations were carried out to assess urease activity, compaction characteristics, unconfined compressive strength (UCS), calcium carbonate content by Tube test and acid leaching test, pH, electrical conductivity, microstructural analysis and durability test. EICP treatment enhanced the UCS strength to a maximum value of 323 kPa, which is approximately 45 times higher than untreated -peat at an optimum cementation concentration of 1.0 M after 28 days curing, corresponding to a calcium carbonate content of approximately 29%. The maximum calcium carbonate content (CCC%) of 32-33% was observed at 0.75M and 1M concentration. EICP improved stiffness and durability, with microstructural observations of X-ray diffraction (XRD) and field emission scanning electron microscopy (FESEM) confirming calcite bridging in EICP-treated samples and enhanced particle aggregation.
Ferroelectric Field Effect Transistor (FeFET) for Embedded Non - Volatile Memory Application
(National Institute of Technology, Silchar, 2026) Kumar, Aman
GROUND RESPONSE ANALYSIS AND LIQUEFACTION POTENTIAL AT TWO BRIDGE SITES IN SILCHAR TOWN
(National Institute of Technology, Silchar, 2026) NATH, SNEHASISH
Silchar, in southern Assam, is the state's second most densely inhabited city, with an economy cantered on agriculture, forestry, and tea cultivation. The current study focuses on ground response analysis and liquefaction potential assessment at two key bridge sites: Itkholaghat and Sadarghat. Subsurface soil conditions were characterized using detailed geotechnical data from eight boreholes across these sites collected from the Public Works Department (PWD) of Assam. Ground response analysis was carried out with the SHAKE2000 software, which included a typical acceleration time history from a Mw 7.2 Indo-Burma region earthquake obtained from the COSMOS Virtual Data Centre. The peak ground acceleration (PGA) values obtained were then used to determine the liquefaction potential of the soil profiles. The analysis shows that most boreholes are highly susceptible to liquefaction, particularly at shallow depths, due to the presence of loose, moist soil layers. Borehole 5 (BH5) at the Sadarghat bridge site, on the other hand, shows significant resistance to liquefaction up to 30 m deep, most likely due to denser or more cohesive soil strata. Furthermore, the study considers the impact of seasonal groundwater table variations, which is an important aspect in liquefaction assessment. It was discovered that as the groundwater table rises closer to the ground surface—particularly during monsoon seasons—the likelihood and severity of liquefaction increase significantly. These findings emphasize the significance of site-specific geotechnical evaluation and groundwater concerns in seismic risk assessment and infrastructure design in the region.
LOAD-SETTLEMENT BEHAVIOUR OF CLAYEY SOIL REINFORCED WITH FLY-ASH + LIME + CLAY COLUMN
(National Institute of Technology, Silchar, 2026) Baruah , Jubilee
Deep-seated medium-soft cohesive soil possess major difficulties in geotechnical engineering because of weak shear-resistance, low-bearing capacity, high compressibility, and tendency to undergo excessive settlement. This study focuses on the utilization of fly-ash which is a waste byproduct in geotechnical application to improve the clayey soil at a reasonable cost and also to provide environmentally sustainable alternative solution. The present study highlights the utilization of fly-ash along with the combination of lime and clay for the construction of Fly-ash+Lime+Clay (FLC) Columns to improve the load carrying capacities of the cohesive soils. The objectives of this study are to firstly determine the optimum percentage of fly-ash, lime and clay to prepare the FLC column. Secondly, to determine the load-settlement behaviour shallow foundation rested on Fly-ash+Lime+Clay column embedded in clayey soil bed by experimental investigation. Another objective is to study the effect of length, spacing, number and confinement of FLC column through numerical analysis using PLAXIS-3D software. To achieve the medium-soft consistency of clayey soil bed UCS sample were prepared at different water content and observed that at 43% water content clay soil attains the UCS value of 29.42 kPa that falls under the medium soft category. To achieve the desired proportion of FLC mix, clayey soil was blended with varying percentages of fly-ash and lime, UCS samples were prepared and tested after curing of 7, 14, and 28 days. The optimum proportion of the FLC mix was found to be 47% Fly-ash, 3% Lime and 50% Clay (F47L3C50). A test-tank of dimension 1m³ was filled with medium-soft cohesive soil up to a depth of 0.9m, and vertical load test was performed on a shallow-foundation of size 0.3m×0.3m×0.05m to determine its capacity. Two FLC column configurations, single and square group with 3D spacing were constructed in clay soil bed, each with a uniform diameter (D) of 50mm and with varying L/D ratios of 6, 8, and 10. Vertical load tests were performed on shallow-foundation of same size rested over FLC column improved clayey soil to determine its capacity. The ultimate load obtained from load settlement graphs demonstrated improvement of capacity as 33.83%, 48.69%, 78.81%, 123.05%, 149.07% and 182.16% respectively for the L/D ratios of 6, 8 and 10, for both single and group column. The load-improvement factor was evaluated for settlements of 5 to 50 mm and the settlement reduction factor was determined for applied loads of 0.2 to 0.8 kN. Load-sharing behaviour between shallow-foundation and FLC column was also evaluated. PLAXIS-3D software was used to perform the parametric study where the effect of length, spacing and pattern of FLC column rested on medium-soft clay bed was studied. The efficiency of FLC column with varying length and spacing was also evaluated. Finally, after summarizing all the results the optimum L/D ratio was fixed as 10, spacing as 2D, and the pattern as square. The findings from both the experimental load tests and the numerical simulations provide practical insights for designing efficient deep stabilization methods for medium-soft clay foundations, ensuring improved strength and load-bearing capacity.
LOAD-SETTLEMENT STUDY OF SKIRTED FOOTING RESTED ON STONE COLUMN IMPROVED CLAYEY SOIL
(National Institute of Technology, Silchar, 2026) Das, Nisha
Miniaturized High-Gain Conformal Ku-Band MIMO Antenna for Biomedical Imaging Applications
(National Institute of Technology, Silchar, 2026) Eshwar, Velavalapalli Hanuman Naga Sai

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