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225 articles for “latency”
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Design of Energy Efficient Clock System
Abstract: Energy efficiency is a key metric for energy constrained Ultra Low Power (ULP) VLSI applications such as wireless sensor nodes, pace makers, hearing aids etc. These applications need clock system in their signal processing and communication sub-system. Moreover, clock system plays a vital role in governing the reliability, power consumption and performance of synchronous system. In today’s era of portable electronics, power consumption has emerged as a forefront design metrics. …
Published in Journal of VLSI Design Tools and Technology · Vol. 9, Issue 2, 2019 · pp. 1–7 Read article
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Effect of Transcranial Direct Current Stimulation (tDCS) in Somatosensory Evoked Potential (SSEP) in Normal Adolescents
Abstract: tDCS is a noninvasive brain stimulation technique in which a mild electrical direct current is applied through the scalp to send electrical impulses to the brain to increase or decrease the excitability in the neurons. Weak transcranial direct current stimulation can induce long lasting changes in cortical excitability. The electrodiagnostic approaches like Motor Evoked Potentials (MEP), Somato Sensory Evoked Potential (SSEP) and electromyography are used to measure the effect of …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 3, Issue 2, 2013 · pp. 1–8 Read article
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Behavioral and Electrophysiological Correlates of Semantic Processing in Kannada
Abstract: Semantics is one of the fundamentals of language components, encoding of which helps in understanding the meaning of the spoken or written language. The processing pattern of semantics has been studied extensively in different languages using either the conventional psycholinguistic experiments or advanced neuroimaging techniques. Previous studies have documented the behavioral and electrophysiological correlates of semantic processing in different languages. However, the correlation between these measures has not been well …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 9, Issue 2, 2019 · pp. 1–9 Read article
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Mood Mate: A Solid-State Edge-AI System for Real-Time Facial Emotion Recognition
Abstract: Recent progress in solid-state electronics and embedded vision systems has enabled real-time emotion-aware applications at the edge. This paper presents MoodMate, a solid-state edge-AI framework for real-time facial emotion recognition using camera-based sensing and embedded processing. The proposed system integrates a solid-state image sensor with an AI- driven emotion classification pipeline optimized for low-latency and resource-constrained environments. Intelligent, emotion-aware apps can now be deployed right at the network edge thanks …
Published in International Journal of Solid State Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 24–30 Read article
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Cluster Based Routing Protocols in VANET
Abstract: Vehicular ad-hoc networks (VANETs) have been widely considered as one of the most important technologies that promises wide range of application in the field of medical, military, environment, home, agriculture, etc. Research in the field of Vehicular ad-hoc network technology has provided us with a new chapter in the world of wireless communication.Cite this ArticleCluster Based Routing Protocols in VANET. Journal of Mobile Computing, Communications & Mobile Networks. 2015. 2(3): …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 2, Issue 3, 2015 · pp. 15–18 Read article
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Advancements in Satellite Networking Applications Through Delay-tolerant Networking (DTN)
Abstract: The burgeoning demand for global connectivity and communication has intensified the exploration of novel networking paradigms, especially in remote or challenging environments where traditional methods fall short. One such innovative approach is delay-tolerant networking (DTN), a technology specifically engineered to work in scenarios where standard networking is unreliable, frequently disrupted, or suffers from considerable delays. This study focuses on the application of DTN in satellite networking, a domain characterized by …
Published in Journal of Advances in Shell Programming · Vol. 11, Issue 1, 2024 · pp. 24–28 Read article
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Review on to Design High Speed and Area Three Oprend Binary Adder Using MDCLCG Architecture
Abstract: The three operands binary adder is a basic function used in the creation of modular arithmetic in various algorithms, such as the pseudorandom bit generator and cryptography. The CS3A carry save adder is commonly used to perform this operation. Nevertheless, the operation's outcome delayed the transmission of O(n) because of the ripple carry step. A dual-optoic adder for parallel prefix computation, such as the Han-Carlson method, can be used to …
Published in Journal of VLSI Design Tools and Technology · Vol. 14, Issue 1, 2024 · pp. 14–22 Read article
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Innovative Approaches to Reducing Data Traffic in IoT Networks Using Deep Learning and Compressive Sensing
Abstract: The exponential growth of internet of things (IoT) devices has posed unprecedented challenges in managing the massive data generated by real-time monitoring, automation, and analytics. Existing network infrastructures lack scalability, bandwidth, and suffer from latency problems, further making data transmission less efficient. This study surveys innovative approaches using deep learning and compressive sensing to reduce IoT data traffic. Deep learning is able to upgrade data processing by means of very …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 2, 2024 · pp. 46–62 Read article
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Real-Time Cab Fare and ETA Prediction Using API Integration
Abstract: The exponential proliferation of ride-hailing platforms has necessitated the formulation of sophisticated and highly responsive predictive models for cab fare estimation and estimated time of arrival (ETA) computation. This work elucidates a robust framework leveraging real-time application programming interface (API) integration from Uber and Ola within a Flutter-based ecosystem to enhance predictive analytics. By assimilating real-time geospatial data, dynamic pricing algorithms, and latency-optimized API responses, this study investigates the empirical …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 08–15 Read article
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ML-Enhanced Smart Sensing Framework for IoT- Based Structural Health Monitoring Using Conductive Polymer Composites
Abstract: The growing demand for intelligent structural health monitoring (SHM) in dynamic infrastructures necessitates flexible sensing systems that are not only mechanically robust but also capable of real-time interpretation. Conventional SHM frameworks often rely on brittle sensor configurations and cloud-dependent processing pipelines, which suffer from latency, limited durability, and poor adaptability under variable loading conditions. Despite recent advances in composite materials and machine learning, current approaches lack a unified framework that …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 348–369 Read article
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5G and up to 6G
Abstract: The 5th generation of mobile networks is called 5G, and the next generation, 6G is expected to arrive soon. With the promise of faster speeds, less latency, and increased connectivity, 5G technology has revolutionized mobile communications. However, the 6G vision is already taking shape as the need for high-performance networks keeps increasing. By offering ultra-high-speed communication, smooth artificial intelligence (AI) integration, extensive Internet of Things (IoT) connectivity, and support for …
Published in International Journal of Wireless Security and Networks · Vol. 3, Issue 2, 2025 · pp. 01–06 Read article
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64 Bit ALU DESIGN USING VEDIC MATHEMATHICS
Abstract: High-speed arithmetic operations are crucial for better performance in contemporary digital systems. Particularly for high bit-width operations, conventional arithmetic logic units (ALUs) frequently experience increased latency and complexity. This work presents the design and implementation of a 64-bit Arithmetic Logic Unit (ALU) using notions from Vedic mathematics. The suggested design makes use of a Kogge-Stone Adder for effective addition and the Urdhva Tiryagbhyam sutra for quick multiplication. Among other mathematical …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 4, Issue 1, 2026 Read article
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Effect of Ultrasound and Low Level Laser Therapy on Nerve Conduction Studies in Patients with Carpal Tunnel Syndrome
Abstract: Carpal tunnel syndrome is a common entrapment neuropathy resulting from median nerve compression with the symptoms of pain, numbness and tingling in the hand and fingers. There are many conservative treatment options available for carpal tunnel syndrome. Ultrasound and low level LASER therapy are found to be one of the effective conservative treatments. The purpose of this study is to find the effect of ultrasound and low level LASER therapy …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 3, Issue 2, 2013 · pp. 9–14 Read article
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Edge Computing Assisted Polymer Composite Biosensors for real time medical Analytics
Abstract: The fast development of healthcare technologies has generated the increased need of real-time, correct, and effective medical monitoring systems. Polymer composite biosensors have come out as a viable solution since they are flexible, biocompatible and highly sensitive in detecting physiological and biochemical signals. Nevertheless, traditional cloud-based data processing systems bring about latency, bandwidth issues, and privacy risks, and thus are not suitable to use in time-sensitive medical services. In order …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 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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Multiple Fragment Information Gathering Using Accumulating Framework
Abstract: The approach of use mobile sink, has been adopted in wireless sensor networks ( WSN) and wireless sensor and actor network( WSAN) to achieve advanced efficiency in terms of gathering data from sensors. Mobility-assisted data collection brings in new opportunity to improve the energy efficiency sensor nodes. However, mobile sink also introduces new challenges such as large data collection tansy. A lot of research efforts have been devoted to reduce …
Published in Journal of Web Engineering & Technology · Vol. 2, Issue 3, 2015 · pp. 14–18 Read article
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A Parallel Online Learning Algorithm for Anisotropic Digital Image Restoration
Abstract: Previously, in the computational scenarios where the training data has already been made available for the learning algorithm, the kernel based algorithm such as support vector machines have made significant advances in the machine learning field. Though there has been little advancement made in learning scenario at online settings to facilitate the various real-time applications at the user end. In this study we discussed the issues with the online learning …
Published in Recent Trends in Parallel Computing · Vol. 2, Issue 1, 2015 · pp. 21–26 Read article
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Comparative Aphrodisiac Activity of Formulated Tablet of Bombax Ceiba Linn. Extract with Sildenafil Citrate Tablet in Male Mice
Abstract: The present work deals with pharmacological studies of formulated tablet of Bombax ceiba Linn root extract comparing with marketed one. An aphrodisiac activity by mating behavior test model was investigated. The dissolved tablet slurry (400 mg/kg body wt./day) was administered orally by gavages for 28 days. Mount latency (ML), intromission latency (IL), ejaculation latency (EL), mounting frequency (MF), intromission frequency (IF), ejaculation frequency (EF) and post-ejaculatory interval (PEI) are the …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 5, Issue 3, 2015 · pp. 19–26 Read article
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Data Compression for Backbone Network
Abstract: This article involves the application of data compression techniques to improve the efficiency and performance of the core infrastructure of modern digital networks. This approach focuses on reducing the size of transmitted data without compromising its quality, aiming to enhance network throughput, reduce latency, and minimize energy consumption. The study also considers practical implementation challenges and trade-offs to optimize resource utilization in backbone networks. We delve into various compression methods, …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 11, Issue 1, 2024 · pp. 30–40 Read article
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Real-time Operating Systems in the Era of IoT: Challenges and Solutions for Time-Critical Applications
Abstract: Real-time operating systems (RTOS) are essential in the Internet of Things (IoT), as they ensure timely responses to events, which is critical for the performance and reliability of connected devices. This paper delves into the unique challenges faced by RTOS in IoT environments, highlighting issues such as limited computational resources, strict latency requirements, and the increasing need for robust security mechanisms. The resource constraints inherent in many IoT devices, which …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 3, 2024 · pp. 13–24 Read article