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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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Advancing UAV Video Transmission: A Full-Duplex System with RF and Signal Processing for Reliable, Long-Range HD Communication
Abstract: Unmanned aerial vehicles (UAVs) have transformed industries by enabling advanced aerial imaging and data collection. However, transmitting high-definition (HD) video from UAVs to ground stations poses challenges such as limited range, bandwidth constraints, and interference. This paper presents the development of an HD, full-duplex video transmission system using cutting-edge electronic technologies, including advanced radio frequency (RF) systems and signal processing. These electronic systems are designed to ensure fast, reliable, and …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 2, Issue 2, 2024 · pp. 38–45 Read article
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Role of PI3K/AKT/mTOR Signaling Pathways in Breast Cancer
Abstract: Abstract: Breast cancer is among the most commonly diagnosed cancers and remains a leading cause of mortality among women globally. Although early detection and interventions aimed at curtailing tumor progression have significantly improved breast cancer survival rates, there is an ongoing demand for more potent systemic therapies to effectively prevent metastasis. A central pathway frequently associated with the growth, survival, and motility of breast cancer cells is the PI3K/AKT/mTOR signaling …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 1, 2025 · pp. 23–34 Read article
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Microwave Signals: A New Frontier in Non-Invasive Medical Diagnostics: A Study
Abstract: Imagine a future where medical diagnoses are quicker, safer, and more accessible, and where therapies are more precise and less invasive. This future is rapidly approaching, driven in part by the quiet revolution of microwave signals in medicine. Far from their everyday use in ovens and communication, these non-ionizing electromagnetic waves are proving to be powerful tools, offering unprecedented insights into the human body and innovative ways to treat disease. …
Published in Journal of Microwave Engineering and Technologies · Vol. 12, Issue 3, 2025 · pp. 27–41 Read article
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Harmonic Analysis of Arterial Blood Pressure Signal Using Fourier Decomposition for Autonomic Health Assessment
Abstract: AbstractIn the present study, the arterial blood pressure waveform is decomposed utilizing Fourier to examine the fundamental frequency and to build up a linkage for autonomic health assessment. This methodology will produce practically identical fundamental frequency, either utilizing noninvasively recorded photoplethysmogram (PPG) or the blood pressure signal. In order to normalize the both, signal PPG waveform is approximated to arterial blood pressure waveform by nonlinear fitting blood pressure values to …
Published in Current Trends in Signal Processing · Vol. 7, Issue 3, 2017 · pp. 7–14 Read article
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Stationary Wavelet and Recursive Least Square Filtering Based Fetal ECG Data Extraction from Composite Abdominal Signal
Abstract: This paper introduces a fast methodology for fetal ECG extraction based on stationary wavelet and noise canceler adaptive filter with the recursive least square filter. Firstly, signals are preprocessed by moving averaging filter for removing baseline wander. The stationary wavelet and the recursive least square filter is applied on preprocessed signal that effectively separates the maternal ECG and extracts fetal ECG (fECG) from the abdominal ECG. Finally, fetal ECG(fECG) is …
Published in Current Trends in Signal Processing · Vol. 7, Issue 2, 2017 · pp. 46–58 Read article
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Efficient AES for Biometric Image Signal Processing
Abstract: Abstract: Several computation schemes and architectural designs have been suggested during the last three decades for efficient hardware implementation of biometric applications. The biometric application of advanced encryption standard (AES) algorithm in high texture image signal processing. The proposed AES very large-scale Integration (VLSI) architecture has 16 % and 15 % less dynamic power consumption and LUT utilization then available best design available AES architecture in the presented literature survey. …
Published in Current Trends in Signal Processing · Vol. 9, Issue 1, 2019 · pp. 7–9 Read article
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Investigation of Surface Electromyography Signal for an Upper Limb Amputee
Abstract: Surface electromyography (SEMG) is a method to measure the muscle activity of the skin. Sensors placed on the skin detect the electrical current or signal generated by active muscles. Lot of the research has focuses on the detection of signal from upper limb amputee with activity of triceps and biceps muscles. Our main aim of this study is to process the acquired signal from the different muscles of the shoulder …
Published in Current Trends in Signal Processing · Vol. 7, Issue 1, 2017 · pp. 19–28 Read article
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Study of ECG Signal Features Extraction using Wavelet Transform: A Review
Abstract: QRS-complex detection is used for analysis of ECG signal. ECG gives the information about electrical activity of the heart Since an ECG is a non-stationary signal and consists of various types of noise such as baseline wander, power line interference and muscle noise. To eliminate such types of noise wavelet transform is used. Mother wavelet is widely used to extract information from these types of signal by denoising. This paper …
Published in Current Trends in Signal Processing · Vol. 4, Issue 2, 2014 · pp. 1–6 Read article
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FPGA-based Multichannel Digital Duty-Cycle Modulation and Application to Simultaneous Generation of Analog Signals
Abstract: The DCM (duty-cycle modulation) is used in industrial electronics as a special technique for producing switching time-varying periodic waves, with variable pulse width and modulation period. As an implication, unlike the fixed period of a PWM wave, the cyclic ratio of a DCM signal changes as a function of the modulating input according to a known function. However, most existing research works related to DCM-based instrumentation systems, are limited to …
Published in Journal of Electronic Design Technology · Vol. 8, Issue 1, 2017 · pp. 23–35 Read article
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Micro-Doppler Signatures for Human with Orbbec Sensor
Abstract: Micro-movements, such as oscillations, rotations or revolution of an object or structures persuade additional frequency modulations on reinstate radar signal, which generates sidebands about the object’s Doppler frequency, called micro-Doppler effect. Human body mechanics consist of various moving body parts, which generate unique micro-Doppler signatures. Using TFT (time frequency transforms and pattern recognition techniques; we can classify individuals based on their movements using micro-Doppler signatures. Preliminary results from a laboratory …
Published in Journal of Electronic Design Technology · Vol. 12, Issue 1, 2021 · pp. 1–9 Read article
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Signal Integrity Analysis of Single Walled Carbon Nano Tube based Interconnects at 32 nm Technology Node
Abstract: The rising demands for ultra-high-speed processors and portable devices have made the transistor and interconnect scaling a challenging issue in present days. In this work, the impedance parameter of copper and CNT based interconnects are calculated at 32 nm technology node for different lengths. The performances of CNT based interconnects are analyzed and compared with Cu based interconnects in terms of crosstalk. The conventional copper interconnects are not able to …
Published in Journal of Semiconductor Devices and Circuits · Vol. 5, Issue 1, 2018 · pp. 33–42 Read article
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Gesture Connect Gesture Recognition for Sign Language
Abstract: A natural method of human-computer interaction, hand gesture recognition is a hot topic in computer vision and machine learning research. This field offers a wide range of potential applications, allowing users to interact with robots and system interfaces in a more straightforward and natural way without requiring additional hardware. One of the primary goals of gesture recognition research is to create systems that can identify gestures and use them to …
Published in Recent Trends in Sensor Research & Technology · Vol. 10, Issue 2, 2023 · pp. 32–41 Read article
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Digital Signature Verification Based on Biogamal, SHA and Elgamal Algorithms
Abstract: Nowadays, in our day-to-day life online services are playing a very crucial role. Online services also have some certain security challenges in communication network. Security aspects consists of confidentiality of data/information, authentication of users and integrity of data. To achieve all these parameters, the information must be digitally signed by the original sender and verified by the intended recipient. Thus, research digital signatures should be further developed to improve the …
Published in Trends in Machine design · Vol. 7, Issue 3, 2020 · pp. 17 21 Read article
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Effect of vehicle composition on signalized intersection capacity
Abstract: For the design of signalized intersections, capacity is the most critical parameter used. Proper capacity assessment plays an important role in deciding the degree of operation. In order to estimate capacity, the saturation flow rate must be assessed by considering the parameters affected. The main objective of the present study is to identify the impact of the composition of the vehicle and the effect of the time taken to cross …
Published in Trends in Transport Engineering and Applications · Vol. 8, Issue 3, 2021 · pp. 1–7 Read article
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An Overview of Classification of Signal and System
Abstract: AbstractSignals and systems are abstract concepts of a wide variety of physical variables and processes in various fields in engineering and sciences. This paper presents the basic idea of signal and system along with their classification. In the real world, any quantity reveals variation in time or variation in space or any other independent variable is potentially a signal. This paper includes a theoretical view with some supportive equation in …
Published in Journal of Communication Engineering & Systems · Vol. 9, Issue 2, 2019 · pp. 46–49 Read article
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Serum Advanced Oxidation Protein Products (Aopp) in Oral Squamous Cell Carcinoma (Oscc): Possible Markers of Diagnostic Significance
Abstract: The aim of this study was to measure the concentrations/levels of serum, total proteins and advanced oxidation protein products as the markers of oxidant mediated protein damage in the sera of patients with oral cancers. The study consisted of the sera analysis of serum total protein, albumin and advanced oxidation protein products’ levels in 30 age and sex-matched controls, 60 patients with reported pre-cancerous lesions and/or conditions and 60 patients …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 1, Issue 1, 2012 · pp. 16–29 Read article
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An Iterative Framework for Sparse Signal Reconstruction Algorithms
Abstract: This paper focuses to different strategies will often improve the performance of many sparse reconstruction algorithms The sparse signal recovery problem has been the subject of extensive research over the last few Decades in several different research communities, including applied mathematics, statistics, and theoretical computer science. The goal of this research has been to obtain higher compression rates, stable recovery schemes, low encoding, update and decoding times and resilience to …
Published in Journal of Advancements in Robotics · Vol. 2, Issue 3, 2015 · pp. 25–29 Read article
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Pattern Recognition of Finger Movements of Two Channel based Surface EMG Signals
Abstract: Surface EMG signal is widely used as a control signal for prosthetic device for the amputees or paralyzed able-bodied person with added advantage of being noninvasive and not painful. An ample amount of research on the prosthetic control of movements of forearm and hand is available in the literatures but few researches has been carried out for control of more dexterous individual and combined finger movements. The ability to precisely …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 1, 2016 · pp. 7–14 Read article
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Pattern Extraction and Classification of ECG Signals using Neuro-Fuzzy Techniques
Abstract: Electrocardiography is a technique which provides the interpretation of the electrical activity of the heart over a period of time. The condition of cardiac health is given by Electrocardiogram (ECG) and heart rate. This paper represents the techniques, which extracts features from the ECG signals and classify them. ECG signal were taken from preselected data segment of the MIT‐BIH Arrhythmia Database. Pattern extraction provides the PQRST-wave values, heart rate and …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 1, Issue 3, 2014 · pp. 1–7 Read article
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Maadhyam: Sign Language Translator (ASL)
Abstract: There are several million deaf and dumb people around the world and their only means of communication is sign language. They are usually not able to receive education and even some of them are unemployed due to lack of communication. This often leads to mental health issues among them. Deaf and dumb people rely on sign language interpreters for communications because other people do not prefer learning their language. However, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 8, Issue 2, 2021 · pp. 42–50 Read article