Assam Don Bosco University Journals
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ERP-Guard: An Advanced NLP Based System for the Early Prediction of Cyberattacks by Analyzing Severity of Risk
No full textThe principal idea of this study is to discuss the use of cutting-edge methods to anticipate and evaluate cyberthreats, this paper seeks to strengthen the security of Enterprise Resource Planning (ERP) systems. we designed ERP log files with cutting-edge Natural Language Processing (NLP), the Common Vulnerability Scoring System (CVSS), and a fine-tuned XLNet model trained on the National Vulnerability Database (NVD). Accurately estimating risk levels and quantifying vulnerabilities in ERP records are the main goals. Methodologically, the study analyzes ERP log data by utilizing the bidirectional context comprehension of the XLNet model. offers a thorough understanding of vulnerabilities found inside ERP logs, boosting proactive protection systems against cyber threats. The main result employs CVSS ratings, which range from 0 to 10, to identify the risk; higher scores indicate greater severity. By providing a thorough understanding of vulnerabilities detected in ERP records, this risk evaluation tools solution increase proactive defences against cyberattacks
A REVIEW ON SPIDER SILK STRUCTURE, FUNCTION AND APPLICATIONS
No full textSpider silk is an excellent biomaterial with outstanding mechanical stability, elasticity, and biocompatibility. Although promising, the cannibalistic nature of spiders poses a challenge to large-scale production, hindering commercial exploitation. Various silk varieties produced on spinnerets have acquired considerable importance, especially that of Trichonephila clavipes, which belongs to the genus Nephila. This review emphasizes the biochemical structure of dragline silk and discusses its ultrastructure using various microscopic techniques to elucidate the hierarchical structure of this substance. Furthermore, it also highlights the extensive applications of spider silk, particularly in biomedical, industrial, and technological fields. Integrating structural and functional perspectives, this review emphasizes the potential of dragline silk as a model biomaterial for future translational research
IDENTIFYING REPEATING PATHS WITH CRITICAL VALUES, ANALYZING TIME SERIES DATA, CALCULATING THE LYAPUNOV EXPONENT AND MANAGING CHAOS IN CHAOTIC SYSTEMS
Get PDFPeriod doubling bifurcations have been observed in many different dynamical systems, both dissipative and conservative, since Feigenbaum’s first discovery. The theory behind this phenomenon has been widely studied. In this paper, we investigate three characteristics of a nonlinear chaotic system described by the equation , where p represents the control parameter as given below:1) We first analyze the range of the function and establish a general pathway from the stable system to the chaotic region by applying Feigenbaum's theory of period doubling bifurcations.2) We determine the accumulation point at p = 3.2146537697423 and the Feigenbaum constan
Evaluation of Aggregate Properties for Enhancing Infrastructure Resilience in Disaster-Prone Environments
Get PDFThe functionality of building infrastructure is profoundly affected by disasters, particularly flooding and earthquakes. Coarse aggregates, as key components in concrete and pavement construction, play a critical role in enhancing infrastructure resilience. These aggregates are typically derived from natural sources, such as riverbeds and quarries, where they undergo processes of extraction, crushing, and grading. This study evaluates the engineering properties of coarse aggregates from 50 locations in Assam, India, to assess their suitability for construction applications. Experiments were conducted to measure water absorption, specific gravity, abrasion resistance, crushing strength, impact value, flakiness, elongation, and soundness. Based on the results, a coarse aggregate reliability map of Assam was developed, classifying the aggregates into three categories: highly reliable, moderately reliable, and low reliable. Representative samples from each category (six in total) were used to produce concrete, and compressive strength tests were performed.The findings reveal that aggregates from highly reliable sources exhibit superior compressive strength compared to those from moderately and low reliable sources. This research emphasizes the critical importance of selecting high-quality aggregates to improve the durability, structural integrity, and resilience of infrastructure. Enhanced material selection reduces maintenance costs and mitigates potential losses during disasters. The study advocates for a scientifically informed approach to aggregate sourcing, ensuring that construction practices meet engineering standards while promoting community safety and sustainability. Such measures can significantly enhance infrastructure resilience, minimizing disaster-induced disruptions and supporting long-term societal well-being
The Role of various types of plasma treatments to improve and enhance the various insulation and dielectric properties of the materials-A Review
Get PDFEnhancing the insulation and dielectric properties may be regarded as one of the major research topics that can be undertaken for study and analysis. When any insulating material is exposed to extreme weather conditions, the degradation of such insulating materials is a very common phenomenon due to variations in temperatures, external weather extremities, wind, dust, and many other naturally occurring phenomena. Thus, the protection of insulating materials has become a vital area of study for researchers and scholars to enhance the lifespan, insulation, and dielectric properties and also to prevent the degradation of such insulating materials due to extreme weather conditions when exposed to an open environment. The various withstanding properties of the materials like breakdown strength, flashover voltage, contact angle, thermal conductivity and various dielectric properties are being studied in this paper. Also, the applications of various non-thermal plasma treatments generated by using various discharge methods like Dielectric Barrier Discharge (DBD), Corona discharge, Microwave discharge and Radiofrequency discharges and the effects of those non-thermal plasma treatments in improving and enhancing the insulation and dielectric properties of the insulators have been extensively studied and reviewed
Media Professionals and Democratic Resilience in the Global South: Navigating Information Disorder and Social Entropy
No full textThis paper examines how media professionals in the Global South defend democratic values amid a systemic crisis of information disorder and social entropy. It argues that this crisis is not accidental but a structured phenomenon shaped by digital disruption, colonial legacies in the political economy of news, and escalating polarization. Case studies from India, the Philippines, Brazil, Nigeria, and Kenya demonstrate how political actors exploit these vulnerabilities to undermine democratic institutions. Journalists on the front lines face a three-pronged assault: economic precarity that enables media capture, physical violence sustained by impunity, and state repression through legal and digital controls. Despite these threats, media professionals have forged innovative counter-offensives, including fact-checking coalitions, technology-driven monitoring, grassroots media literacy, and efforts to decolonize journalistic practice. The paper concludes that safeguarding democracy requires a coordinated, multi-stakeholder approach to building sustainable, independent, and context-sensitive media ecosystems across the Global South
GRAPHENE CALCIUM FERRITE NANOCOMPOSITE EFFECTIVELY ADSORBS AND REMOVES THE TOXIC ACID BLUE 25 DYE FROM AQUEOUS MEDIUM
No full textThe modified Hummers technique was employed in this study to make a graphene CaFe₂O₄ composite that was used as an adsorbent to remove acid blue 25 dye from aqueous solution. XRD, SEM and TEM were employed to characterize the adsorbent. Acid Blue 25 was adsorbed using the resulting adsorbent under a variety of experimental settings. Within 240 minutes, the initial fast adsorption of dye species achieved equilibrium. With a rate constant of 8.49 × 10–4 g mg–1 min–1 at 303 K, the interactions were much closer to second-order kinetics. 100.0 mg g–1 was the Langmuir monolayer capacity at 303 K. The interaction was endothermic with ∆H 60.7 KJ mol–1 accompanied by a rise in entropy and a decrease in Gibb’s free energ
Energy Aware Routing using AODV Protocol for Low Energy Consumption in WSN
Get PDFWireless Sensor Network (WSN) is a self-configured and infrastructure-less network that is used to monitor the environmental conditions and transfer sensor data to the desired destination in a particular region. Energy consumption is the most important concern in WSN, which is considered as an active research area. Routing selection is one method that is used to optimize energy in WSN. There are many protocols for discovering a route between two nodes. However the performance of the Ad hoc On-Demand Distance Vector Protocol (AODV) routing protocol is a more suitable one. It is a generic reactive protocol for routing mostly used in MANET (Mobile Ad Hoc Networks) and WSNs (Wireless Sensor Networks). This protocol supports unicasting and multicasting and will also identify the shortest path. The aim of this paper is discuses about energy-aware routing, is implemented in the AODV protocol which is derived from nodes remaining energy. The remaining energy of node is computed by Max-Min energy algorithm in order to extend the network's life span and facilitates to keep the network lively. The performance of AODV is compared with Modified AODV protocols. The comparison is done by various performance metrics such as PDR (Packet Delivery Ratio), throughput, delay time, loss rate, and energy consumption. Analysis on the experimental results showed that MAODV protocol gives better results than traditional AODV protocol and it is also inferred that MAODV avoids too much energy consumption of nodes in the network
