Veer Surendra Sai University of Technology, formerly known as the University College of Engineering, Burla, is a state university located in Burla, Sambalpur, Odisha, India. Established in 1956, it is the oldest engineering college in Odisha. UCE Burla, its former name, was officially changed to its current name on 10 June 2009, as a result of a resolution by the Government of Odisha to accord it with the status of a unitary university.The university was declared eligible to receive central assistance under Section 12B of the UGC Act in 2012.
In this paper, we introduce and study the notions of statistical Cesàro summability and statistical deferred Cesàro summability of sequences of functions via the Laplace transform. First, we establish new inclusion theorems between these notions, supported by illustrative examples. We then apply these techniques to obtain the inverse Laplace transforms of sequences of functions. Using this framework, we derive significant results for solving higher-order ordinary differential equations and discuss applications to electrical circuit models, including the RL and LC circuits. Furthermore, we investigate the Laplace transforms of Fourier series by using Cesàro means of a sequence of positive kernel-based Laplace operators and establish some new results. Additionally, based on the proposed approach, we prove two new Korovkin-type theorems with the help of the trigonometric test functions 1, cos t, and sin t. An illustrative example involving a positive linear operator related to a new class of Fejér-type convolution operators is presented to demonstrate the applicability of the theoretical findings. Finally, the convergence behavior of the considered circuit models and operators is demonstrated graphically using MATLAB.
Vehicular Adhoc Networks (VANETs) consist of vehicles as dynamic nodes and base stations, Wi-Fi access points as stationary nodes. These stationary nodes are also termed as Road Side Units (RSU). The communication occurs either among vehicles or between vehicles to roadside infrastructures or it may be hybrid too. Secured data communication is one of various challenging issues in VANET. Data trust and entity trust determine the reliability of data communication in the network. Always there is a possibility of malicious data communication if malicious and greedy nodes are present in the network. The network should be protected and preserved from different types of attacks and entities causing such attacks. So, there is a need to design trust models to improve the security in message communication in VANETs. The paper proposes a Hybrid Neuro Fuzzy Trust Management (NFTM) model which is a combined trust model for VANETs with distributed architecture. This model determines the Node Trust Value of nodes. Based on this NTV value, a node may be classified as trustworthy or not trust worthy. A trustworthy node is allowed to transmit the message whereas a non-trustworthy node is not allowed to do so. The node trust value may play a vital role in routing protocol. When a vehicle creates and sends a message, the node trust value is checked to find the trust worthiness of the node and that of the next nodes used for routing the packet to the destination. The firefly algorithm is used for optimized routing in which node trust value is considered as the glowing factor of the fireflies. The simulation results validate that the proposed NFTM model offers better solution for trust management and is cost-effective in terms of optimal routing as compared to the other trust models.
In response to the rising demand for highly effective electromagnetic interference (EMI) shielding or microwave absorbing material, the study presents the development of a multifunctional epoxy based composite reinforced with chopped carbon fibers (CCF), graphene nanoplatelet (GNP) and hematite(alpha-Fe2O3). The fabrication approach, involving surface functionalization, solvent-assisted dispersion, and ultrasonication, enabled uniform filler integration and strong interfacial bonding. The hybrid architecture synergistically combines the high electrical conductivity of CCF, the interfacial polarization of GNP, and the magnetic characteristics of alpha-Fe2O3, thereby activating multiple attenuation mechanisms. Thermal analysis confirmed excellent thermal stability with a dominant decomposition transition at similar to 550 degrees C, supporting its suitability for high-temperature electromagnetic applications. Among the formulations, the CF5G2.5F2.5 (epoxy 90 % + CCF 5 % + GNP 2.5 % + alpha-Fe2O3 2.5 %) hybrid composite demonstrated electrical conductivity (0.76 Sm-1 to 1.21 Sm-1), skin depth (5.56 mu m-3.76 mu m), attenuation co-efficient (127.80 Npm(-1) to 276.17 Npm(-1)), leading to result in superior microwave attenuation with a minimum reflection loss of -33.5 dB at 12.4 GHz, corresponding to >99.9 % absorption and with an effective absorption bandwidth of similar to 4.2 GHz at 3 mm thickness, along with a maximum shielding effectiveness of 44.81 dB. These properties were attributed to balanced dielectric and magnetic contributions, optimized impedance matching (approximate to 0.95 at 12.4 GHz), and enhanced attenuation coefficients. The study also reveals that permittivity, permeability, can be precisely tailored through filler ratios to tune performance. The work underscores a scalable and customizable strategy for designing high performance EMI shielding and microwave absorbing materials, particularly suited for aerospace, defense, and next generation communication systems.
Medical image watermarking plays a vital role in modern healthcare by ensuring image authenticity, protecting intellectual property, preserving data integrity, maintaining patient confidentiality, and detecting unauthorized alterations. This survey provides a comprehensive review of medical image watermarking techniques, focusing on spatial, frequency, and transform-domain approaches. It summarizes their principles, strengths, limitations, and applications in real-world healthcare environments such as telemedicine, electronic health records, and clinical data management. The survey further examines commonly used performance metrics and discusses major challenges, including robustness, imperceptibility, security, embedding capacity, computational complexity, and vulnerability to attacks. Recent advancements, including deep learning-based watermarking, hybrid models, reversible techniquess, and privacy-preserving frameworks, are also highlighted. By consolidating current developments and identifying existing research gaps, this study offers insights into emerging trends and future directions for enhancing the reliability, security, and effectiveness of medical image watermarking systems.
The effect of functionalized MWCNT (f-MWCNT) on dielectric behaviour of PVP/TiO2 and PVP/TiO2/f-MWCNT ternary nanocomposites is studied in order to project the material for charge storage applications. The designed PVP/TiO2 binary nanocomposite has a maximum dielectric constant value of 2.8 x 102 at frequency of 102 Hz. The highest dielectric permittivity of 2.22 x 103 with minimal loss of 2.66 is observed for PVP/TiO2/f-MWCNT nanocomposite at frequency of 102 Hz, respectively. The highest 6ac conductivity values of 4.45 x 10-5 S/m and 4.83 x 10-3 S/m are obtained at 1 MHz for PVPT-5 and PVPTM-5 nanocomposites. The grain resistance of ternary nanocomposite is significantly reduced with the addition of f-MWCNT as compared to the binary nanocomposite. The improved surface area, high dielectric constant, minimal loss, and reduced grain resistance are the significant factors that make this designed PVP/TiO2/f-MWCNT nanocomposite worth towards electronics and charge storage applications.
