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1913 articles for “signs” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Comparative Analysis of FIR Digital Filters for Noise Reduction in EMG Signal
Abstract: In the performance of electromyogram (EMG) signal, signal acquisition must be noise free. This paper deals with the application of digital finite impulse response (FIR) filter on the raw EMG signal. In this paper different window techniques are used to design FIR filter and after designing the filters their values are used to calculate signal-to-noise ratio (SNR), power spectral density (PSD), and standard deviation. The results of SNR, PSD and …
Published in Recent Trends in Electronics Communication Systems · Vol. 3, Issue 1, 2016 · pp. 56–60 Read article
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Effect of Solar X-ray Flares on VLF Radio Wave Signal Strength at 19.8 and 24 kHz Received at Khatav (India) (16°46'N, 75°53'E)
Abstract: The period from August 2009 to July 2012 was an important period as 2009–10 was solar minimum period, and solar cycle was extended by 16 months during this period. In this period, solar activity like solar X-ray flares, solar wind, coronal mass ejections were at minimum level. In this research, it is focused on detailed study of response of signal strength of VLF radio waves transmitted by VLF station NWC …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 6, Issue 3, 2017 · pp. 15–34 Read article
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Synthesis of Brassinosteroid with Signaling and Response to Abiotic Stress: Review
Abstract: Brassinosteroids (BRs) are a group of plant steroid hormones with multiple roles in plant growth, development, and responses to stresses and signaling functions to promote cell expansion and cell division and plays a role in etiolation and reproduction. The entire synthetic pathway of sterol biosynthesis is brassinolide (BL) from the general campesterol synthesis pathway in Arabidopsis. Campesterol converts to BL in two different ways campesterol dependent or campesterol independent pathway. …
Published in Research & Reviews : Journal of Botany · Vol. 10, Issue 4, 2021 · pp. 24–32 Read article
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Alzheimer disorders diagnosis system design using machine learning for EEG signal
Abstract: The diagnosis of Alzheimer's disorders (AD), a prevalent neurological disorder, can created by utilising a range of therapeutic methods, including the electroencephalogram (EEG), which has been especially successful in the past. The objective for this study is to develop a computer-aided diagnosis tool which may recognize AD from EEG data. The EEG information was cleaned up with a band-pass elliptic digital filter to remove any interference or disruptions. The filtered …
Published in Journal of Control & Instrumentation · Vol. 14, Issue 4, 2023 Read article
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Signal Feature Extraction and Machine Learning Techniques for Human Activity Recognition
Abstract: Human Activity Recognition (HAR) has emerged as a critical field of study with diverse applications in healthcare, fitness tracking, smart homes, and human-computer interaction. The aim of this research is to create an efficient HAR system through advanced techniques characterized by signal feature extraction and machine learning algorithms. The MEMS sensors are used appropriately during data mining to extract time-domain, frequency-domain, and statistical features, which are subsequently passed to the …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 1, 2025 · pp. 24–41 Read article
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Spectral Mapping and Tracking Error of MBOC signal and Wavelet based GNSS receiver
Abstract: This research paper delves into the historical evolution and contemporary state of the art in navigation technologies, emphasizing the paramount importance of reliable positioning systems. Tracing the journey from ancient primitive methods to the present-day Global Navigation Satellite Systems (GNSS), with a focus on the Global Positioning System (GPS), the paper explores the diverse instruments and methods developed by civilizations throughout history to determine location and navigate effectively. The main …
Published in Current Trends in Signal Processing · Vol. 16, Issue 1, 2026 · pp. 50–65 Read article
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Speech Recognition and Analysis using Energy of the Signal
Abstract: AbstractSpeech plays an important role in day to day communication. It is a natural way to transfer thoughts from one to another. If any information needs to deliver in between human’s speech is the best way of delivery. With the help of the electronic system, we can extract the information from the original speech signal by doing signals processing. Here, in this research work, we formulate the system that recognizes …
Published in Current Trends in Signal Processing · Vol. 8, Issue 2, 2018 · pp. 25–33 Read article
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Study The Effect on Bit Error Rate (BER) for Elevated Signal to Noise Ratio (SNR) in IOT Based Systems Using Cooperative Communication
Abstract: AbstractCooperative communication is the future of wireless and mobile communication. The diversity antenna technology that can be utilized by cooperative communication can improve the quality of the signal received by a mobile. The mobile nodes can further improve signal quality by using multiple input multiple output systems. The cooperative communication is the best way to increase the availability of signals which has become very difficult after restrictions on the establishment …
Published in Current Trends in Signal Processing · Vol. 10, Issue 1, 2020 · pp. 8–14 Read article
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Analysis of impact of Meditation on Cognitive Workload using EEG Signals
Abstract: AbstractMental activities can be indicated by the Cognitive workload which are useful in applications like Biomedical, Human Machine Interaction and Task analysis. The mental effort applied on the Working memory at a certain given time is commonly known as Cognitive load. The EEG Signals of Cognitive Workload can be studied and classified. The features such as Entropy, Energy, Power, etc. can be extracted from the EEG signals and processed using …
Published in Current Trends in Signal Processing · Vol. 10, Issue 1, 2020 · pp. 29–39 Read article
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A Survey on EEG Signals and Applications of EEG in Different Fields
Abstract: AbstractEEG being in trend for a last few decades is now being used in several different fields for different technological benefits. Brain Computer Interface is one of the useful applications of EEG Signals which gave rise to several other subfields like Marketing, Gaming etc. EEG signals are popularly used in medical fields as detection of neurological diseases has become simpler and cheaper because of multiple researches in EEG signals as …
Published in Current Trends in Signal Processing · Vol. 10, Issue 1, 2020 · pp. 15–18 Read article
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Performance Analysis of FIR Digital Filter using Artificial Neural Network for ECG Signal
Abstract: AbstractIn performance of electrocardiography (ECG) signal, signal acquisition must be noise free. This paper deals with the application of the digital finite impulse response (FIR) filter on the raw ECG signal. In this paper different window techniques used to design FIR filter and their signal to noise ratio are compared. The dataset configured for multilayer perceptron (MLP) training with feed forward algorithm. Finally the MLP is trained and the results …
Published in Journal of Communication Engineering & Systems · Vol. 3, Issue 2, 2013 · pp. 28–32 Read article
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Doctrine of Signature - A key in Discovering the Therapeutical Effect of Zornia gibbosa Span
Abstract: Abstract According to Doctrine of signatures the herbs that resemble various parts of the body can be used to treat ailments of that part of the body. The theme of natural objects' shapes having significance is very old and can be correlated with “Purushoayam Lokasammitah” (man is epitome of universe) of Ayurveda. In Shatpat Bhrahman, a reference regarding functional correlation of various parts of the trees to that of human …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 3, Issue 1, 2014 · pp. 30–34 Read article
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Algorithm for Selecting Signal Processing Technique in Vibration Based Condition Monitoring System
Abstract: In the sound and vibration analysis, dynamic data acquisition plays important role. Dynamic data acquisition not only means acquire data but analyse it according to the complexity of the signals generating from the source of vibration. Accuracy of result depends upon the accuracy with which the signal processing technique is selected. In present work, a comprehensive condition monitoring algorithm is proposed. This algorithm classify the signal according to its behavior …
Published in Trends in Mechanical Engineering & Technology · Vol. 2, Issue 3, 2012 · pp. 1–5 Read article
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Recurrent Neural Network Model for Signal Prediction in a LOCA Event
Abstract: Normal 0 false false false MicrosoftInternetExplorer4 In this study, an artificial neural network (ANN) model with the Elman recurrent structure is developed to predict thermo-hydraulic signals in a loss of coolant accident (LOCA). In the prediction procedure, a few previous samples of a signal at the time of the accident are fed to the ANN and the output value of next time steps are estimated by the network output. The …
Published in Journal of Nuclear Engineering & Technology · Vol. 1, Issue 2-3, 2011 · pp. 13–24 Read article
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Continuous-Time Modelling of the Two-Input Fourth Order DC_DC Converter
Abstract: Two-input fourth-order integrated (TIFOI) converter is designed to process the power from two different sources Vg1 and Vg2. This converter facilitates regulation of dc-bus voltage and LVS current. In the power conversion process it performs bucking operation for first dc source Vg1, buck-boost operation for the second source Vg2. Power stage dynamics of the TIFOI converters is modeled using the state-space analysis. The system modelling plays an important role in …
Published in Journal of Control & Instrumentation · Vol. 12, Issue 4, 2021 · pp. 1–11 Read article
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A Study on Remote Online Notarization and E-signatures
Abstract: The e-signatures and remote online notarization application allows notary attorneys and anyone else who needs to certify electronic documents to use secure electronic notarization. E-notary software provides first-rate security and convenience method for both businesses and consumers who deal with notarizations on a regular basis. The software also allows for transparent access to documents that are waiting to be countersigned, as well as to those who have been granted access …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 10, Issue 4, 2023 · pp. 6–11 Read article
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Long non-coded RNA, cancer, immune cells, tumor micro-environment, immuno-oncology, immune escape, cancer-immune cycle, lncRNA signature
Abstract: Developing data from current research reveals fresh insights into the roles played by long non-coding RNAs (lncRNAs) in immuno-oncology. Long non-coding RNAs (lncRNAs) not only influence the aggressiveness of cancer cells but also play a crucial role in controlling different immune cells and stromal cells, which in turn changes the tumor micro-environment and impacts anti-tumor immunity. The significance of predictive indicators derived from long non-coding RNAs (lncRNAs) is underscored by …
Published in Research and Reviews : A Journal of Immunology · Vol. 14, Issue 1, 2024 · pp. 7–26 Read article
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Real-Time Gesture Recognition with Convolutional Neural Networks
Abstract: Sign language detection plays a pivotal role in bridging communication barriers for the deaf and hard of hearing community. An extensive investigation on the use of convolutional neural networks (CNNs) for sign language recognition is presented in this article. Leveraging the power of deep learning, our research aims to develop an accurate and efficient system capable of recognizing and classifying sign language gestures in real-time. The report begins with an …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 2, 2024 · pp. 12–18 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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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