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93 articles for “error measurement”
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Fingerprint and Face Recognition Based Attendance System for Exams
Abstract: In educational institutions, managing attendance efficiently and accurately is pivotal for ensuring academic integrity and administrative effectiveness. Traditional attendance tracking techniques, including human roll calls or barcode scanning, are laborious, error-prone, and vulnerable to fraud. Traditional methods of keeping track of attendance, including sign-in sheets and physical roll calls, are often time-consuming, prone to errors, and lack the security measures needed in many contemporary settings. Modern biometric technologies have made …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 3, 2024 · pp. 26–33 Read article
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A Comprehensive survey of robust image quality metrics for satellite imagery
Abstract: Satellite imagery is essential for applications like environmental monitoring, urban development, precision agriculture, defence surveillance, and disaster response. The reliability of these applications is closely tied to the quality of the captured images, which may be compromised by atmospheric effects, sensor imperfections, compression artifacts, and transmission noise. As a result, accurate image quality assessment (IQA) is essential to ensure trustworthy analysis and informed decision-making in satellite-based systems. The distinctive properties …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 15, Issue 1, 2026 · pp. 7–20 Read article
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Load Balancing Approach for Proposed Hybrid Scheduling Algorithm in Heterogeneous Networks
Abstract: AbstractRecent developments in multiple technologies evolving nowadays provide users with broadband services of high quality and seamless mobility. Wireless networks comprising of third generation (3G) and fourth generation (4G) are on the verge to provide wide coverage and good mobility capabilities. All these high quality wireless networks have been deployed within one region overlapping each other, hence generating a heterogeneous network for wireless access which can be represented as 4G …
Published in Current Trends in Signal Processing · Vol. 8, Issue 1, 2018 · pp. 1–9 Read article
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Online State Estimation and Fault Detection of a Doubly Fed Induction Machine by an Interconnected High Gain Observer
Abstract: This article presents the states and disturbance estimation of a doubly fed induction machine by the use of an interconnected high gain observer. The supply is made of a rectifier, a filter and an inverter. We consider the parameters such as the load couple, the electromagnetic couple and the speed on the only basis of the electric quantities. The results show that the error between the estimated and measured parameters …
Published in Journal of Control & Instrumentation · Vol. 8, Issue 3, 2017 · pp. 1–11 Read article
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Angle and Distance Measurement System using Ultrasonic Radar
Abstract: AbstractIn today’s world, automation is prevailing everywhere. Attempts are made to automate various processes to avoid errors due to human negligence and increase efficiency. To automate the object detection and distance measurement ultrasonic sensors are used. Cameras installed in security systems fail to work properly in low or very dim light conditions. Such problems can be solved using ultrasonic sensors. This research paper proposes efficient automated systems using ultrasonic sensors …
Published in Recent Trends in Sensor Research & Technology · Vol. 7, Issue 2, 2020 · pp. 1–6 Read article
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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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Review JoEDT N58 Open CPU-Based Milk Collection System
Abstract: The N58 Open CPU-based milk collection system is designed to enhance the efficiency and transparency of milk collection processes in rural and urban dairy operations. By integrating a computerized platform with open-source technology (Open CPU), the system enables real-time monitoring, automatic data logging, and streamlined milk collection from multiple sources. The system allows farmers to register and track their milk deliveries, monitor milk parameters such as fat content and volume, …
Published in Journal of Electronic Design Technology · Vol. 16, Issue 2, 2025 · pp. 17–23 Read article
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Short-Term Load Demand Forecasting using Chaos Theory and ANFIS
Abstract: In the electrical power sector, forecasting of load demand is an important process for effective planning of future expansion and periodical operations including unit commitments, fuel scheduling, short-term maintenance, security assessments, reducing spinning reserve, reliability analysis etc. Accurate load predictions are also necessary to utilize the electrical energy efficiently and to minimize the conflicts between the demand and supply of electricity. As electric load pattern of a region is very …
Published in Trends in Electrical Engineering · Vol. 6, Issue 2, 2016 · pp. 50–57 Read article
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Hybrid Machine Learning and Finite Element Framework for Predicting Damage Behavior in Fiber-Reinforced Polymer Composites
Abstract: Fiber Reinforced Polymer (FRP) composites have broad spread use in aerospace, automotive, marine and structural applications due to its high specific strength, stiffness and corrosion resistance. The various damage mechanisms such as matrix cracking, fiber breakage, delamination and interfacial failure, however, make the forecasting of damage particularly complex. In this work, a hybrid machine learning (ML) and finite element (FE) system is proposed for predicting the damage behavior of FRP …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Artificial Intelligence based Point of Care Device in Advanced Medical Diagnostic Techniques
Abstract: Application of Point-of-Care Testing (POCT) at medical sites provides instant diagnostic results that help doctors make quick decisions for patient care. The traditional point-of-care testing equipment faces restrictions because they test single parameters and experience calibration problems in addition to inefficient data management systems. POCT technology benefits from the integration of Artificial Intelligence (AI) which creates a novel system to solve current operational limitations. The presented study introduces an intelligent …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 2, 2025 Read article
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House Price Estimation Using Linear Regression: A Machine Learning Perspective
Abstract: House price prediction plays a crucial role in the real estate industry, helping buyers, sellers, and investors make well-informed decisions. Accurate estimation of property values enables stakeholders to assess market trends, plan investments, and minimize financial risks. This study focuses on the application of linear regression, a fundamental and widely used machine learning algorithm, to predict house prices based on multiple influencing factors. These factors include location, property size, number …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 · pp. 21–29 Read article
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Time Series Model Forecasting of Boot using Holt, Winter and Decomposition Method
Abstract: In business scenario, sales forecasting is very essential due to volatile demand of products. Because of the uncertainty with demand and supply, forecasting of shoe industry is required. Normally retail sales series contains trend and seasonal patterns, presenting challenges in developing effective forecasting models. This study compares the application of three forecasting methods like Holt’s, winters and Decomposition method to forecast the sale of boot. Best method is selected on …
Published in Journal of Industrial Safety Engineering · Vol. 2, Issue 2, 2015 · pp. 23–31 Read article
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History and Applications of Kalman Filter: A Review
Abstract: The Kalman filter is a powerful algorithm that is used to estimate the dynamic system states with noisy measurements and uncertain behaviors. It is an optimal estimator that minimizes the average squared error between the estimated states and the true states, given the noisy data and a model of the system. The recursive algorithm is highly effective in tracking and predicting the state of complex systems over time. Kalman filters …
Published in International Journal of Electrical Power and Machine Systems · Vol. 2, Issue 1, 2024 · pp. 14–23 Read article
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Measurement of Defects in Car Bearings and Its Effect on Ultrasonic Waves
Abstract: As one of the defects of roller bearings due to intermittent coupling forces and external impact loads,surface cracks due to corrosion or wear may have many defects for rotating machines. Surfacecracking on the bearing or its ball is one of the important factors in the efficiency of the bearing andits opening. It is useful to study these cracks and identify the type and size of these cracks for bearingsused in …
Published in Trends in Mechanical Engineering & Technology · Vol. 11, Issue 1, 2021 · pp. 44–49 Read article
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Effect of Outdated CSI in a Multiuser TAS/MRC System over Correlated Nakagami-m fading
Abstract: The TAS/MRC system is a widely accepted technique to reduce the complexity level of a multiuser MIMO system with little reduction in the performance. This increases the practical applicability of TAS/MRC system. In TAS/MRC algorithm the channel state information (CSI) is provided to the transmitter for selection of best transmitting antenna for better system performance. However, two important factors may reduce the performance of the TAS/MRC system considerably, out dated …
Published in Journal of Communication Engineering & Systems · Vol. 8, Issue 2, 2018 · pp. 38–46 Read article
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Role of Satellite Data Assimilation on ERA-Interim and ERA5 Wave Parameter Ratios – A Case Study based on Year-long In-Situ Observations in the Bay of Bengal
Abstract: The rapid decline in the energy resources forced mankind to tap other forms of natural energy resources in the light of exponential increase in the demand due to over-population. The energy from ocean waves is one of the cleanest sources of energy available perennially that changes seasonally and is site-specific. To assess the wave power potential at any site, knowledge of the wave parameters such as wave height, period and …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 1, 2025 · pp. 1–20 Read article
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Reliability Evaluation of Power Distribution Network Considering Uncertainty in Failure
Abstract: With the development of economy and society power planning is facing with the influence of much uncertainty, which are mainly power distribution network. Power system especially at the distribution level is prone to failures and disturbances as many devices are responsible for the successful operation of a radial distribution system. Every time an engineer takes a measurement, the only certainty is that the measurement is not exact; all measurements have …
Published in Journal of Mechatronics and Automation · Vol. 1, Issue 1, 2014 · pp. 33–40 Read article
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A Review on Two-Wheeled Self-Balancing Robot Using Spartan-3E FPGA for Sensor Fusion and Real-Time Motor Control
Abstract: Two-wheeled self-balancing robots (TWSBR) are a popular application of embedded control and robotics because they operate on the inverted pendulum concept, which is naturally unstable. The main objective of such robots is to continuously maintain balance by estimating the tilt angle and applying corrective motor action in real time. In most practical systems, low-cost inertial sensors such as accelerometers and gyroscopes are used for tilt measurement. However, accelerometer readings are …
Published in Journal of VLSI Design Tools and Technology · Vol. 16, Issue 1, 2026 · pp. 17–27 Read article
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IoT Based Smart Power Grid.
Abstract: An inefficient power grid can be affected by human mistakes, data loss, and manual circuit and logbook operation, which are all parts of how a power grid works. An IoT-based power grid is introduced to address the issue. Here, we may measure the circuit's current and voltage as well as its active (kW), apparent (kVA), and energy (kWh) powers. We can also use a computer or a mobile device to …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 13, Issue 1, 2023 · pp. 35–40 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