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60 articles for “Mach number”
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Anti-Theft Control of Automatic Teller Machine Using Wireless Sensors
Abstract: ABSTRACTThis paper addresses the security about the Automatic Teller Machine (ATM). The previous methods are having some disadvantages and the robbery has been continued. The objective of the proposed work is to know the Enhanced smart ATM security system which is developed using the proteus software and advanced technologies. To avoid the money theft in the ATM and for protection of the machine this project approaches some new methodologies using …
Published in International Journal of Broadband Cellular Communication · Vol. 5, Issue 2, 2019 · pp. 1–9 Read article
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Knowledge and Practices of Pregnant Women Towards Focused Antenatal Care in Dowa District, Malawi
Abstract: Introduction: Despite evidence supporting use of focused antenatal care (FANC) to improve maternal and neonatal outcomes in developing countries, most women underutilize the service. Aim: To assess pregnant women’s knowledge and practices about FANC in one district hospital in Malawi. Methods: The study used a cross-sectional descriptive design, with a random sample of 386 pregnant women. A structured questionnaire was used to collect data about women’s knowledge and practices regarding …
Published in International Journal of Obstetrics, Perinatal and Neonatal Nursing · Vol. 9, Issue 2, 2023 · pp. 24–29 Read article
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Nanorobotics: A Review
Abstract: The field of robotics is expanding quickly and has the potential to change the world in many ways. Robots are now an essential part of our lives, doing everything from boosting production and efficiency to breaking new ground and entertaining us. To fully realize the potential of this fascinating field, robotics development must be carried out responsibly and ethically as we continue to make technological advancements. Nano-robotics is a fast-developing …
Published in International Journal of Applied Nanotechnology · Vol. 9, Issue 2, 2023 · pp. 36–43 Read article
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Prediction of Rainfall Using MLP and RBF Networks for Monsoon and Post-Monsoon Seasons of Pune and Mahabaleshwar Regions
Abstract: Prediction of rainfall for a river basin has utmost importance for planning of irrigation and drainage system as also for command area development. For example, analysis of consecutive days of rainfall is more relevant for drainage design of agricultural lands whereas analysis of weekly rainfall data is relevant for planning of cropping pattern. Likewise, analysis of monthly and seasonal data is more useful for water management practices. With the development …
Published in International Journal of Water Resources Engineering · Vol. 7, Issue 1, 2021 · pp. 34–51 Read article
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Investigation of Tangential Shear Stress and Frictional Torque Coefficient over a Rotating Disk of the Rotor-Stator System
Abstract: Abstract The study investigates the prediction of tangential shear stress and the frictional torque coefficient over a rotating disk in a rotor-stator system under laminar inward flow conditions. The interaction between the rotating and stationary disks is governed by key parameters, such as volumetric flow rate, rotational speed of the disk, and the axial clearance between the two surfaces. These parameters are expressed in terms of dimensionless quantities, including the …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 11, Issue 1, 2025 · pp. 6–14 Read article
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Innovative Approach for Sugarcane Plantation
Abstract: Sugarcane planting with traditional methods is costly, time consuming, it needs great human force,more numbers of sugarcane stalk. Also because of unskilled labor stressed or diseased bud may getplanted. To solve this problem we designed algorithm for atomization of sugarcane planting machineusing image processing. It detects the nodes efficiently and locates the cut point for stalk cutting. Itreject to cut the stalk if sugarcane suffered by Stress or disease like …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 7, Issue 1, 2021 · pp. 7–12 Read article
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Design of Experiments for Vibration Monitoring of Rotating Machinery
Abstract: The valuable resources are rotating technology. In industrial applications, several machines are essential to the effective operation of any system. This article describes the engineering process for developing designs for analyzing variation and the optimization of condition monitoring by the impacts of vibration parameters using Taguchi processes to improve the quality of manufactured items. Crucial spinning equipment is included in the experiment to maximize the vibration frequency reactivity. Using Minitab …
Published in International Journal of Mechanics and Design · Vol. 11, Issue 1, 2025 · pp. 27–41 Read article
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Detection of Road Objects and Road Signs from 3D Mobile Mapping System
Abstract: As the number of practical applications of point clouds from a mobile mapping system (MMS) increases, the use of modeled data from MMS has also increased in many fields. However, the data-modeling process is costly. Therefore, in order to make the modeling process efficient, a method of recognizing road objects is needed. Conventional methods cannot recognize objects that include various shapes such as walls and guardrails, or objects that are …
Published in International Journal of Computer Aided Manufacturing · Vol. 3, Issue 1, 2017 · pp. 26–30 Read article
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To Assess the Accuracy, Sensitivity and Specificity of Fetal Heart Rate (FHR) and Uterine Activity (UA) from Abdominal ECG and EMG Electrodes in Comparison with Conventional Cardiotocography (CTG) Machine
Abstract: Background: FHR and UC are two vital parameters that need to be monitored during the intrapartum period which can help reduce death from preventable causes during the intrapartum period. CTG is the currently used tool for intrapartum monitoring, but being expensive, bulky, and dependent on skilled healthcare workers for interpretation of results makes it unsuitable for use in healthcare settings. KEYAR is an affordable, portable, wearable, and easy to use …
Published in International Journal of Obstetrics, Perinatal and Neonatal Nursing · Vol. 9, Issue 1, 2023 · pp. 13–23 Read article
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Remote Sensing Technologies for Weather Forecasting: Techniques, Uses, andAssessment
Abstract: Remote sensing has become an important tool for modern weather forecasting since it lets us see the Earth's atmosphere and surface all the time and on a huge scale. Remote sensing uses satellites and sensors to collect data in real time on important weather variables like temperature, humidity, cloud cover, precipitation patterns, and atmospheric motion. These numbers are used in numerical weather prediction models to make forecasts more accurate and …
Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 1, 2026 · pp. 25–34 Read article
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Use of Natural Language Processing for Hate Speech Detection on SocialMedia:
Abstract: The exponential growth of social media platforms has led to an increase in user- generated content, enhancing global connectivity but also facilitating the spread of harmful language, including hate speech. Addressing this issue requires robust, Naïve Bayes, Decision Tree, K-Nearest Neighbours (KNN), Linear Regression, and Random Forest—were tested, with Linear Regression achieving the highest accuracy automated systems for detecting and mitigating offensive content. This paper presents a comprehensive analysis of …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 2, 2025 · pp. 9–16 Read article
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Assess the level of anxiety & depression among the post burn client admitted in Pravara Rural Hospital, Loni Bk
Abstract: Introduction: A burn is a type of injury to skin, or other tissues, caused by heat, cold, electricity, chemicals, friction, or radiation. Most burns are due to heat from hot liquids, solids, or fire. An estimated annual burn incidence in India is approximately 6–7 million per year. The high incidence is attributed to illiteracy, poverty, and low-level of safety consciousness in the population. Depression and anxiety are frequently witnessed in …
Published in International Journal of Neurological Nursing · Vol. 7, Issue 1, 2021 · pp. 35–40 Read article
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The Role of Artificial Intelligence in Mental Health: New Approaches for Diagnosis and Treatment
Abstract: Artificial intelligence (AI) is increasingly reshaping mental health care by supporting early identification of mental health conditions, improving diagnostic accuracy, and enabling personalized intervention strategies for disorders such as depression, anxiety, and post-traumatic stress disorder. Advanced AI technologies, including machine learning algorithms and natural language processing techniques, allow analysis of large-scale behavioral, textual, and speech-based data to identify patterns related to emotional and cognitive health. These tools help clinicians make …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 · pp. 22–26 Read article
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State Wise Covid-19 Case Forecasting Based on Machine Learning by Using SEIR and Time Series Models
Abstract: Forecasting mechanisms based on machine learning have proved to be significant to anticipate in peri-operative outcomes that improve decision-making in the future. Applications where it is necessary to identify risk factors with a negative impact have used machine learning models. To solve problems with forecasting, many prediction techniques are applied. The COVID-19 virus, which is active and is currently regarded as a serious threat to humanity, is shown in this …
Published in International Journal of Broadband Cellular Communication · Vol. 9, Issue 1, 2023 · pp. 1–9 Read article
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MRAC Based Speed Estimation of Three DTC Techniques for Three-phase Inverter Fed IPMSM Drive
Abstract: This paper aims to study three Direct Torque Control (DTC) techniques for an Interior Permanent Magnet Synchronous Machine (IPMSM) using Model Reference Adaptive Control (MRAC). In the conventional DTC technique using a look-up table, gate signals are given to the Inverter that drives IPMSM. Since it is a 6-sector scheme and the operation of the minimum number of voltage vectors, undesired torque and flux ripples are created. Hence the problem …
Published in International Journal of Electrical Power System and Technology · Vol. 9, Issue 2, 2023 · pp. 1–15 Read article
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Advancements in Predictive Maintenance: A Review of Data-Driven Approaches, Machine Learning, and AI in Diverse Industrial Landscapes
Abstract: The Internet of Things (IoT), the use of machine learning (ML), and artificial intelligence (AI)-driven advances in predictive maintenance are the key topics of this study. With the goal of offering a thorough grasp of existing approaches and potential future developments, it analyzes applications in predictive maintenance in many sectors. Predictive maintenance approaches are the major topic of discussion, with an emphasis on their advantages, disadvantages, difficulties, and prospects. Additionally, …
Published in International Journal of Computer Aided Manufacturing · Vol. 10, Issue 2, 2024 · pp. 19–32 Read article
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Review of Optimization Process Parameters in Welding system
Abstract: This study was based on design of experiment (DOE) using Taguchi method with four welding parameters namely welding current, welding speed, root gap and electrode angle considered for experimentation. An orthogonal array of L9 experimental design was adopted and ultimate tensile strength was investigated for each experimental run. The tensile test was carried out on extracted welded and unwelded specimens using universal testing machine (UTM). Microstructures of the welded specimens …
Published in International Journal of Manufacturing and Materials Processing · Vol. 2, Issue 1, 2016 · pp. 48–54 Read article
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Bot Defender: A Collaborative Defense Framework for Botnet Intrusion Mitigation
Abstract: Botnet attacks represent a significant threat to cybersecurity, compromising vast numbers of devices and causing extensive harm. BOT DEFENDER is a novel collaborative defense framework designed to mitigate botnet intrusions effectively. This framework leverages the power of collective intelligence, integrating data from multiple sources to detect and respond to botnet threats in real-time. By utilizing advanced machine learning algorithms, BOT DEFENDER can identify anomalous network behavior indicative of botnet activities, …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 · pp. 6–11 Read article
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Strength and Durability Characteristics of Stabilized Compressed Laterite Soil Bricks
Abstract: In this experimental investigation the required numbers of test bricks were moulded for the various percentage proportionate of laterite soil, such as, 91%, 90%, 89%, and 88%, stabilized with various percentage of cement stabilizer viz 4, 5, 6 and 7%, respectively, along with 5% addition of sand constantly; compacted with a hydraulic press paver block and brick making machine. Based on the obtained results laterite soil bricks can be used …
Published in International Journal of Construction Engineering and Planning · Vol. 4, Issue 1, 2018 · pp. 58–64 Read article
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Assessment of M30 Concrete Compressive Strength Using Digital Rebound Hammer and Destructive Testing
Abstract: Abstract The assessment of in-situ concrete strength using non-destructive testing (NDT) techniques hasbecome increasingly important for quality assurance, structural evaluation, and conditionassessment of concrete infrastructure. Among the available NDT methods, the digital reboundhammer offers a rapid, economical, and non-destructive means of estimating concretecompressive strength. This study experimentally investigates the correlation between reboundnumbers obtained from a digital rebound hammer and the compressive strength of M30 gradeconcrete determined using a Compression Testing …
Published in International Journal of Structural Engineering and Analysis · Vol. 12, Issue 2, 2026 Read article