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1974 articles for “fine/course mobile signal” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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ECG De-noising Techniques and Optimal Feature Selection Using Principle Component Analysis
Abstract: AbstractECG (Electrocardiography) is used to record and determine the condition of the heart. This paper provides an overview of various ECG de-noising techniques that are used to eliminate different type of noises; therefore, noise reduction procedure to be performed to eliminate different type of noises such as baseline wander, dc offset and high frequency interference, and then the pre-processed signal is used to extract features from the ECG signal. This …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 5, Issue 1, 2018 · pp. 14–20 Read article
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A Review Of Deep Learning Applications For Speech Processing Improvement
Abstract: Improve the quality of the spoken word is a common goal for many audio and speech signal processing applications. A noisy voice signal's quality and understandability may be improved via speech augmentation. Speech augmentation is critical in a wide range of fields, including hearing aids, ASR, and mobile communication. DNN-based architectures for speech recognition and augmentation have shown to be quite effective in recent years, according to a new study. …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 9, Issue 2, 2022 · pp. 14–19 Read article
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A Visible Light-based Indoor Navigation and Localization Solution for Visually Criticized Users
Abstract: Visible Light Communication is seen as a promising option for 5G communication because to its characteristics such as operating in a non-licensed frequency spectrum, offering high bandwidth, using minimal power, and being immune to electromagnetic interference. This property allows light waves to transmit data faster and convey more information, making VLC a promising solution for providing universal electronic navigation assistance to visually challenged individuals. VLC utilizes the visible light spectrum …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 10, Issue 2, 2023 · pp. 22–34 Read article
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Review on Modern Electronics Communication System and Electromagnetic Spectrum used for Wireless Communication
Abstract: Electronic communication is a modern type of communication system. In modern Electronic communication, by using Electronic instruments or devices we can communicate with each other very easy and fast. For designing instruments or devices, numbers of Electronic circuits are used. Communication takes place by transmitting and receiving information signal by means of Chanel or medium. Information signal like voice, images, videos, different signals, different data, etc are we can communicate …
Published in Trends in Opto-electro & Optical Communication · Vol. 9, Issue 2, 2019 · pp. 25–28 Read article
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Prevalence of Frailty and Its Association with Information and Communication Technologies Use among Older Adults
Abstract: Frailty phenotype (FP) refers to a clinical syndrome characterized by a lack of effective response to stressors due to a decline in physiological reserve. The presence of FP is associated with negative outcomes in elders, like disability. Information and communication technology (ICT) is defined as a unit of technology that an individual can use to produce, store, and communicate information, e.g., mobile phones (MP) and internet browsing. The aim of …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 7, Issue 2, 2018 · pp. 40–48 Read article
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Power Spectral Study of Heart Rate Variability Time Series by the Adaptive Modified Continuous Morlet Wavelet Transform
Abstract: In this paper, a newly developed method referred as adaptive modified continuous Morlet wavelet transform has been proposed to improve the energy concentration in the time-frequency domain. The improvement is achieved by introducing the shape parameter to the Morlet function that is known as modified Morlet function. To make it adaptive, the modified Morlet function was optimized by concentration measure based on automatic determination algorithm. The proposed method was validated …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 6, Issue 2, 2017 · pp. 5–20 Read article
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Coverage Driven Verification of Synchronous FIFO using UVM
Abstract: FIFO (first in first out) is a memory array in which the data written first into the memory will be read first with the help of the control signals read and write where the control signal write is used to write the data into the memory and the control signal read is used to read the data from the memory. To avoid the memory overflow and to know that whether …
Published in Recent Trends in Electronics Communication Systems Read article
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Enhancing Strength and Durability: A Study of Mortar Blocks with Steel Slag Incorporation and the Development of Steel Slag Lime and Cement Blocks
Abstract: This study is focused on investigating the strength and durability properties of mortar cubes made with slag cement and incorporating Ultra Fine Steel Slag (SS) as a potential replacement for natural fine aggregates (FNA). In some instances, the cement was entirely replaced with hydrated lime to develop the blocks. A battery of tests, including assessments of compressive strength, acid resistance, sulfate resistance, water absorption, and void analysis, were carried out …
Published in Journal of Polymer & Composites · Vol. 11, Issue 8, 2023 · pp. 233–246 Read article
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Mindwell: A Psychological Guide for Well-being
Abstract: Mental health is a crucial aspect of overall well-being, yet access to professional therapy remains a significant challenge for many individuals due to various barriers, including cost, availability, and stigma. This research aims to develop an accessible and effective mental health therapy chatbot, named Mindwell Psychology, leveraging the power of large language models (LLMs) and state-of-the-art natural language processing techniques. The primary objective of this study is to create a …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 63–77 Read article
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Cell Phone Detector
Abstract: This project presents a Solar-Powered Cell Phone Detector—an innovative and eco-friendly system designed to detect active mobile phones using renewable energy. The primary goal is to offer a sustainable, off-grid solution for environments where mobile phone usage must be restricted, such as examination halls, confidential meeting rooms, and high-security zones. Traditional detectors typically rely on conventional power sources, making them less practical during outages or in remote areas. This system …
Published in Journal of Electronic Design Technology · Vol. 16, Issue 3, 2025 · pp. 7–13 Read article
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ENHANCING CONTROL WITH EMBEDDED SSVEP-BCI
Abstract: Brain–Computer Interface (BCI) technology establishes a direct communication link between the human brain and external devices without relying on muscular activity. Among various BCI paradigms, the Steady-State Visually Evoked Potential (SSVEP)-based approach has gained significant attention due to its high signal-to-noise ratio, minimal user training, and suitability for real-time applications. However, implementing such systems on embedded hardware presents challenges such as limited computational resources, signal noise, and latency in processing. …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 3, 2025 · pp. 41–52 Read article
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A Study on Recent Trends in Chemical Sensors for Detecting Toxic Materials
Abstract: Poisonous materials, such as mutagenic, carcinogenic, and poisonous compounds, are widely produced as a result of industrial development. Such materials continue to be hazardous to human health despite stringent management and control procedures. As a result, practical chemical sensors—such as optical, electrochemical, nanomaterial-based, and biological system-based sensors—are needed for the monitoring of dangerous chemicals. For the detection of harmful compounds, numerous new and existing chemical sensors are being created, along …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 16, Issue 3, 2025 · pp. 26–35 Read article
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Smart Patient Monitoring and Motion Tracking System
Abstract: The integration of smart technologies in healthcare has revolutionized patient monitoring and diagnostics. This paper presents a Smart Patient Monitoring and Motion Tracking System designed for hospitals, leveraging EEG (Electroencephalogram) signals to track patient movements and monitor neurological health. The proposed system combines motion tracking with real time EEG signal analysis to enhance patient safety, especially for individuals prone to seizures, neurological disorders, or other mobility-related risks. The system employs …
Published in International Journal of Radio Frequency Innovations · Vol. 3, Issue 2, 2025 · pp. 9–23 Read article
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Fault Diagnosis of Air Compressor (AC) System using Local Mean Decomposition (LMD) and Logistic Regression (LR) Machine Learning Classifier
Abstract: This article presents a detailed and systematic procedure for performing fault diagnosis in an air compressor (AC) system by analyzing the audio signals generated during its operation. The analysis covers both normal (healthy) conditions and seven distinct types of faults, including bearing failure, flywheel malfunction, inlet valve leakage, outlet valve leakage, non-return valve failure, piston ring defect, and rider belt issues. To acquire the acoustic signals, the researchers utilized a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 416–427 Read article
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Advanced Polymer Nanocomposite EEG Electrodes for Enhanced Epileptic Seizure Detection: A Comparative Analysis
Abstract: Electroencephalography (EEG) has been very important in the detection of epileptic seizures so as to enable successful diagnosis, surveillance and therapy of epilepsy. Nevertheless, EEG electrodes based on traditional metals may be limited due to high or high contact impedance, lack of biocompatibility, discomfort to patients and prone to motion artifacts, which interfere with signal quality and diagnostic adequacy. The recent progress in material science has resulted in coming up …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 Read article
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Smart and adaptive cutting-edge IoT based implementation for remote environments
Abstract: In remote, mountainous, or snow-covered regions, mobile networks and GPS signals usually become unreliable, which creates major challenges for search and rescue (SAR) operations. To overcome the issue, this paper presents a compact, low-power, voice-activated wearable device that integrates LoRa communication with a TinyML-based keyword detection system. The proposed device enables individuals to send signals in areas where GPS coverage is unavailable. Using the Received Signal Strength Indicator (RSSI), the …
Published in Journal of Microcontroller Engineering and Applications · Vol. 13, Issue 2, 2026 · pp. 1–7 Read article
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Machine Learning–Guided Cognitive RF System with Dynamic FFT Resolution and Multiplier Reconfiguration for Adaptive Anti-Jamming Communication
Abstract: This paper presents a hierarchical adaptive RF communication system that integrates signal quality-based pre- processing with machine learning-driven signal classification to achieve robust and resource-efficient operation in dynamic, interference-prone environments. Unlike prior art that addresses adaptive RF, ML classification, or anti-jamming individually, this work uniquely combines real-time SNR/RSSI-based signal strength estimation with dynamic FFT size selection (64-, 256- , or 512-point) and arithmetic-level multiplier reconfiguration (CORDIC, Distributed Arithmetic, and hybrid …
Published in International Journal of Radio Frequency Innovations · Vol. 4, Issue 1, 2026 Read article
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A Review on Fundamental Premises and Algorithmic Approaches in Compressive Sensing
Abstract: This paper addresses the classical approach of acquiring signals by following the well celebrated Shannon sampling theorem that underlies the majority devices of current technology, viz. analog-to-digital conversion, medical imaging, or audio and video electronics. In medical imaging, there are problems related to acquisition time and compression. Compressive sensing (CS) paradigm addresses the shortcomings of traditional data acquisition by sampling signals much more efficiently. CS is a novel kind of …
Published in Current Trends in Signal Processing · Vol. 6, Issue 1, 2016 · pp. 18–24 Read article
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Energy-efficient and low-complexity linear phase filter design
Abstract: Digital signal processing (DSP) systems require digital filters as a critical component. DSP is one of the technologies that will have the biggest impact on science, engineering, and technology. For many portable signal processing applications, linear phase FIR filters with high throughput, good energy economy, and low latency are extremely desirable. The trade-off between performance indicators makes it difficult to boost throughput and energy efficiency while lowering low complexity. This …
Published in Journal of Electronic Design Technology · Vol. 13, Issue 2, 2022 · pp. 41–53 Read article
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END-OF-LIFE MANAGEMENT OF CELL PHONES IN INDIA
Abstract: AbstractGeneration of solid waste has grown in a rapid manner over the last decade. Bulk of this waste is being dumped in the open in an uncontrolled manner resulting into pollution of water bodies and land and causing uncontrolled emission of methane. This problem can be significantly mitigated through adoption of environment friendly technologies for treatment and processing wastes before disposal to recover valuable resources and energy. Wastes such as …
Published in Journal of Industrial Safety Engineering · Vol. 4, Issue 3, 2017 · pp. 1–9 Read article