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845 articles for “base frame”
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A Trust-Enhanced Security Architecture for Authenticating Customer Records in Banking Institutions
Abstract: The growing digital disruption of banking and financial services has completely altered the face of customer onboarding, money transactions, and financial service deliveries. Even as digital technologies provide unparalleled levels of efficiency and accessibility for consumers of financial services, they have also presented new challenges that are equally daunting. Among the growing number of financial threats that digital technology has spawned is the risk of synthetic identity fraud. Unlike identity …
Published in Journal Of Network security · Vol. 14, Issue 1, 2026 · pp. 16–22 Read article
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Role of the Surgical-Ward Nurse in Identifying, Escalating, and Managing Postoperative Anastomotic Leak in Colorectal Patients: A Narrative Synthesis in an Australian Nursing Perspective
Abstract: Purpose: Postoperative colorectal anastomotic leak (AL) is one of the most feared complications after colorectal surgery because of its association with sepsis, reoperation, mortality, prolonged hospital stay, delayed adjuvant therapy, and permanent stoma formation. This narrative practice review outlines the frontline role of surgical-ward nurses in the early identification, escalation, and interim management of AL within the Australian acute-care context. Methods: A narrative synthesis of contemporary consensus statements, systematic reviews, …
Published in Research and Reviews : Journal of Surgery · Vol. 15, Issue 1, 2026 · pp. 7–12 Read article
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REVIEW ON BEHAVIOUR OF R.C.C FRAMES
Abstract: Reinforced concrete (RC) frames consist of horizontal elements and vertical elements connected by rigid joints.This review gives an idea about various parameters have been derived about RCC Frames from different researches. Based on previous studies and observations, a conclusion have been made that an In-filled wall in the multi story building can resist the lateral load and also helps in getting the good strength and stiffness.
Published in Journal of Construction Engineering, Technology & Management · Vol. 9, Issue 1, 2019 · pp. 17–20 Read article
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Voltage Sag and Swell Compensation Using DVR Based on Asymmetrical Cascade Multicell Converter
Abstract: Dynamic voltage restorer (DVR) is a device which is used to compensate the voltage sags and swells for the protection of sensitive loads. The compensation is done by use of a converter, in this paper DVR configuration is based on asymmetrical cascade multicell converter. One of the main advantages of asymmetrical cascade multicell is increase in the number of output voltage levels with reduced number of switches. 15 level asymmetrical …
Published in Journal of Microelectronics and Solid State Devices · Vol. 3, Issue 2, 2016 · pp. 23–26 Read article
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Luminescent Phenomena and Materials: Fundamentals, Developments, and Multidisciplinary Applications
Abstract: Luminescence, defined as the emission of light without significant heat generation, represents a fundamental phenomenon bridging physics, chemistry, materials science, and biotechnology. Over the centuries, the understanding of luminescence has evolved from simple observational curiosity to a sophisticated quantum-mechanical framework describing electronic transitions in atoms, molecules, and solids. This review provides a comprehensive overview of the historical development, fundamental mechanisms, classifications, and material systems associated with luminescence. It places particular …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 16, Issue 2, 2026 Read article
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Particle Swarm Optimization Framework for Accurate Battery State-of-Charge and Remaining Useful Life Estimation
Abstract: Accurate estimation of the State of Charge (SOC) and State of Health (SOH) of a battery is key to safe and efficient management of batteries in electric vehicles and energy-storage systems. However, it is challenging due to high nonlinearity, varying operating conditions, measurement noise, and limited access to comprehensive electrochemical parameters. Traditional data-driven models often generalize poorly and require heavy tuning, which can produce unstable predictions. To address these problems, …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 53–64 Read article
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Optimizing Keyword Querying on Structured Knowledge Bases
Abstract: As the digital landscape burgeons with unstructured information, the need for structured knowledge bases becomes paramount. The Semantic Web employs Resource Description Framework and SPARQL as a cornerstone in organizing information. This work explores keyword querying approaches on knowledge bases such as Freebase, emphasizing their usability challenges, particularly in complex queries. Existing approaches, while valuable, exhibit limitations in handling intricate queries with multiple joins. The proposed Entity Relationship Keyword Querying …
Published in Journal of Web Engineering & Technology · Vol. 11, Issue 2, 2024 · pp. 28–50 Read article
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SoloRider: An Autonomous Self-Balancing Electric Bike for Sustainable Urban Mobility
Abstract: Rapid urbanization has intensified challenges such as traffic congestion, parking inefficiency, and environmental degradation. While autonomous vehicle research predominantly focuses on four-wheel platforms, lightweight two-wheelers remain comparatively underexplored. Two-wheelers are a great option for sustainable urban transportation because of their many benefits, including their small size, lower energy consumption, better manoeuvrability, and lesser infrastructure requirements. This paper presents SoloRider, a conceptual autonomous self- balancing electric two-wheeler de- signed for sustainable …
Published in International Journal of Electronics Automation · Vol. 4, Issue 1, 2026 Read article
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Swarm-Enabled AI for Smart Mobility and Sustainable Transport
Abstract: The significant issues facing the modern urban infrastructure are the management of road traffic problems, such as severe traffic congestion, the detection of unsafe driving behavior, and road safety. The traditional ground-based surveillance systems will be helpful, but they will reach their limits in large and dynamic environments. It is because of predetermined perspectives, blindness, and the inability to scale. To designate these problems, the present study proposes a traffic …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 1, 2026 · pp. 33–38 Read article
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Machine Learning-Based Task Scheduling and Resource Optimization in Edge-IoT Systems
Abstract: The rapid expansion of Internet of Things (IoT) applications has introduced significant challenges in managing computational workloads across distributed edge environments. Edge- IoT systems are characterized by limited computational capacity, dynamic task arrivals, and strict latency constraints. Traditional heuristic-based scheduling techniques often fail to adapt to fluctuating workloads and heterogeneous resource availability. This study proposes a machine learning-based task scheduling and resource optimization framework for Edge-IoT systems. The proposed model …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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A IoT-Enabled Predictive Intelligence for Real-Time Failure and Damage Evolution Monitoring of Polymer Composites
Abstract: Damage assessment of carbon-fibre-reinforced polymer composites is still challenging since the damage occurs as a combination of matrix cracking, interfacial debonding, delamination and fibre fracture. The present work proposes a framework for predictive-intelligence based on IoT for multiaxial fatigue and compression-after-impact (CAI) CFRP experiments, employing publicly available acoustic-emission (AE) datasets. A causal CNN–GRU attention model is developed by integrating time-domain, spectral, wavelet, loading-history and trend features to estimate the damage …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Fractal-Entropy Guided Adaptive Signal Reconstruction for Non-Stationary Biomedical and Communication Systems
Abstract: This paper presents a novel Fractal-Entropy Guided Adaptive Signal Reconstruction (FEG- ASR) framework designed for accurate processing of non-stationary signals in biomedical and communication systems. The proposed approach integrates fractal dimension analysis with entropy- based feature evaluation to capture the intrinsic complexity and irregularity of time-varying signals. By dynamically adapting reconstruction parameters based on fractal-entropy measures, the method effectively separates noise from meaningful signal components while preserving critical information. The …
Published in Current Trends in Signal Processing · Vol. 16, Issue 1, 2026 · pp. 22–33 Read article
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Wireless Biosensing Polymer Composites for Smart Healthcare Devices
Abstract: The wireless biosensing polymer composites have been found as one of the possible solutions in developing flexible, real-time and intelligent healthcare monitoring systems. Biomimic polymer matrices coupled with conductive nanomaterials can be used to design an understanding of physiological signals (strain, pressure, and temperature) that are highly sensitive and adaptable sensors. The attachment of these sensors to wireless communication systems, such as the Bluetooth Low Energy and Wi-Fi, eases the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 14, 2026 Read article
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Optimization of RCC Building Frames Using Bracing and Without Bracing with Various Position of Shear Wall
Abstract: This review paper aims to analyze the optimization of reinforced cement concrete (RCC) building frames. In particular, it sets out to analyze the structural performance of frames that have not been braced, and frames which have been braced, along with the different shear wall configurations. RCC frames (as the name suggests) are key elements of modern construction because they offer strength combined with flexibility. In addition, structural elements such as …
Published in Recent Trends in Civil Engineering & Technology · Vol. 16, Issue 2, 2026 · pp. 34–44 Read article
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Abysmal Oddities of Brain in Neurological and Psychiatric Disorders Based on Sū’-i-Mizāj Māddῑ (Abnormal Substantial Temperament): Through The Lens of Greco-Arabic Medicine
Abstract: The mesmerizing history of neurological and psychiatric disorders relates to the history of humanity. The Unani philosophers apprehend neurological and psychiatric disorders superbly. They gave a conceptual understanding of the Sū’-i-Mizāj dimag and diagnosed neurological and psychiatric disorders wonderfully. Contrariwise, the Babylonians associated epilepsy, anxiety, depression, mania, and other psychiatric disorders with deities and demons earlier. To understand, analyse, and explain a comprehensive patho-physiology of neurological and psychiatric disorders, it …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 12, Issue 2, 2025 · pp. 30–42 Read article
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Digital Fuel Level Indicator Using Atmega328 Microcontroller
Abstract: AbstractObserving systems are important to follow and comprehend the progressions that happen in situations. Remote checking and information gathering frameworks are valuable and viable instruments to gather data from fuel stockpiling tanks. The fuel board framework is a checking gadget based on the Arduino Uno R3 PC, it takes data about tank's fuel level progressively through its sensor and live gushing of the website, at that point transfers it specifically …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 7, Issue 2, 2019 · pp. 15–22 Read article
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AI-News 4.0: Most Suitable LLM for UPSC Aspirants
Abstract: In recent years, the domain of interactive artificial intelligence (AI) has experienced a significant surge with large language models (LLMs) at the forefront of this evolution. AI systems, including those based on the GPT-3.5 framework, have been engineered to address various tasks such as responding to intricate inquiries, participating in conversations, and executing sophisticated natural language processing (NLP) operations. A prominent LLM, known for its adaptability, prompts an essential inquiry: …
Published in International Journal of Computer Science Languages · Vol. 2, Issue 2, 2024 · pp. 47–53 Read article
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Reactive Power Pricing Technique in A Competitive Market
Abstract: For maintaining voltages of each bus within specific range, proper reactive power support is mandatory. Reactive power is considered as an ancillary service in the restructured electricity market, hence it is price based service and controlled by ISO. Here, a modified optimal power flow (OPF) optimization method is proposed over the bids received from Gencos and to maintain the system security and stability subject to the constraints imposed by different …
Published in Trends in Electrical Engineering · Vol. 6, Issue 3, 2016 · pp. 89–100 Read article
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Developing a Comprehensive Framework for User and Entity Behavior Analytics (UEBA): Integrating Advanced Machine Learning and Contextual Insights
Abstract: User and Entity Behavior Analytics (UEBA) has emerged as a crucial approach in modern cybersecurity for detecting and mitigating insider threats, compromised accounts, and other malicious activities within organizational networks. However, existing UEBA frameworks often face challenges in scalability, detection accuracy, and response effectiveness. This research work proposes a novel framework for UEBA that aims to address these limitations and enhance threat detection and response capabilities. The framework integrates advanced …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 2, 2024 · pp. 20–32 Read article
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An Automated Smart Contract Repair Framework for Reentrancy, Integer Overflow, and Denial- of-Service Vulnerabilities
Abstract: This paper introduces a novel static analysis framework designed to bridge a long-standing gap in Ethereum smart contract security: the disconnect between vulnerability detection and automated remediation. Although widely adopted tools such as Slither and Oyente are highly effective at identifying security weaknesses, they stop short of providing actionable fixes. As a result, developers manually patch vulnerabilities, a process that is not only time-consuming but also susceptible to human error …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 · pp. 31–41 Read article