Mohamed Sathak Engineering College is the engineering college in Tamil Nadu started in the year 1984. It is sponsored by the Mohamed Sathak Trust of Chennai. The College had started functioning in early October 1984. AICTE had approved all the Courses being conducted by this institution..
Hydrogen bond liquid crystal complexes (HBLCs) are successfully isolated from the mesogenic compounds of 4-n-alkyloxybenzoic acid (nOBA, n = 10 and 11), and the non-mesogenic compound of 1,3‑phenylenediacetic acid. Formation of H-bonds between the mesogen and non-mesogen and the presence of functional groups are detailed using FTIR analysis, whereas, UV–Vis spectroscopic analysis endorses the nature of the electronic transition and optical properties of the HBLC complexes. Polarizing optical microscopy (POM) textural analysis authenticates the presence of induced mesophases along with transition temperatures. Mesophase transition temperatures and changes in enthalpy, entropy of the resultant mesogens is assessed by differential scanning calorimetry (DSC) studies. It is noticed that the formation of H-bonds induces rich phase polymorphism with an extended mesogenic range. Furthermore, the thermodynamic equilibrium of the HBLC system is confirmed by the enthalpy calculation, which shows that the amount of energy absorbed by the system is equal to the amount of energy released by the system. Another interesting observation is that the thermochromic phenomenon exhibited in the nematic phase offers valuable insights for diverse sensor applications. The repeated thermal scanning and positive entropy values favour the thermally stable mesogenic HBLCs. Moreover, the obtained result elucidates the critical role of hydrogen bonding and molecular ordering in governing the mesomorphic behavior of the synthesized HBLC complex.
The research investigates how land use and land cover changes progressed through time in the Vaigai River Basin during the 30 years between 1996 and 2026. Researchers used satellite data from different times to create essential environmental measurements, which included land surface temperature (LST), normalised difference vegetation index (NDVI), normalised difference water index (NDWI), and rainfall and runoff. The study found major landscape alterations, which showed a major increase in developed land, together with barren spaces and a decrease in water bodies, agricultural fields, forest areas, and grasslands. The growth of built-up areas shows that cities are expanding quickly, while people are putting more pressure on land by decreasing natural spaces and agricultural fields. The thermal environment has become hotter because LST measurements increased from 29.56°C in 1996 to 35.49°C in 2026, which shows that surface temperatures have become more intense. The NDVI values showed a decreasing pattern, which indicated that vegetation health and coverage decreased, while the NDWI values displayed changes in surface water distribution. The analysis of rainfall and runoff showed that hydrological systems respond differently because high runoff rates indicate that more water flows from surfaces that cannot absorb water, while less water enters the ground. The researchers identified high-risk zones through the sediment risk zonation process, which used slope, land use/land cover (LULC), NDVI, rainfall, and soil parameters. The study creates a sediment risk zonation framework that uses slope measurements, soil properties, rainfall intensity, vegetation cover, and land use patterns to determine areas that are vulnerable to erosion. The research identified locations with steep slopes and sparse vegetation and active human development as the most susceptible areas for sediment movement and land deterioration. The study results demonstrate how natural environmental factors and human activities together create multiple effects that impact the stability of river basins. The study demonstrates that LULC changes directly cause environmental degradation; therefore, planners should establish sustainable land management practices together with watershed management systems to protect ecological systems in the basin.
Recent research heavily focuses on drones. Drones have been used for many applications including defense, healthcare, traffic control etc. IoT is also mixed with many fields thus it fits with drone as well. Drone become internet of drone as it is combined with internet of things area. When we use the internet of drones for communication in defense then security will be the major part to tackle. In this research we also represents about the difficulties occurred during applying and using the security algorithms. Also we picture the results of various algorithms with respect to security level and computational cost. Elliptic curve cryptography comparison with RSA is highlighted and suggests using ECC for secure communication between drones which are connected via internet of things in this paper. Vehicular Adhoc Network (VANET) is also taken into count for gathering security related information for achieving better security level in IoD secure communication. Future directions are represented towards handling enemy drones that carry the missile using optimization algorithm.
Alzheimer disease (AD) destroys brain cells and the patient’s memory is lost as a result of a progressive and incurable neurodegenerative disease. Magnetic Resonance Imaging (MRI) scan brain images can be analyzed with Artificial Intelligence (AI) technology to diagnose this disease and predict its progression. Early diagnosis and personalized treatment of AD based on MRI images are crucial for improving patient outcomes. To overcome these challenges, a novel Tetra Alzheimer disease Classification via Dilated coordinate Attention based RegNet (TACADR) technique has been proposed. The proposed method utilizes Leaky ShuffleNet for extracting structural and spatial features to improve the classification accuracy. Dilated coordinate attention based RegNet is utilized to classify Tetra classes of AD using MRI images. The proposed approach is superior in terms on accuracy, recall, specificity, precision, and F measure, according to experimental data on AD. Experimental results on ADNI-MRI dataset confirms that the TACDAR approach is superior compared to other datasets. The proposed technique improves the accuracy range of 13.5
The novel hydrogen-bond liquid crystal complex is prepared through the molecular assembly of citraconic acid and 4-hexyloxybenzoic acid (6OBA). The mesogenic phases (N and Sm G) behavior and thermal characteristics are systematically investigated using polarizing optical microscope and differential scanning calorimetry. The hydrogen bond between the compounds is validated by a characteristic bathochromic shift (239 cm−1) observed in the Fourier-transform infrared spectroscopy. Furthermore, density functional theory (DFT) is employed to evaluate the optimized geometry, frontier molecular orbital, molecular electrostatic potential and interaction region indicator. The experimental findings and theoretical calculations are in strong agreement, thereby validating the proposed molecular interactions and confirming the stability of the CTA + 6OBA (1:2) HBLC complex. Further structural and electronic properties of title HBLC complex is evaluated DFT calculations. The increasing softness (0.2084 eV) of the HBLC complex while compared to its constituents confirm the soft nature of the HBLC complex.
