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1860 articles for “IDE” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Accident Identification And Alerting System Using MSP430
Abstract: The "Accident Identification and Alerting System using MSP430" is an innovative project that focuses on enhancing road safety and emergency response mechanisms. This system harnesses the capabilities of the MSP430 microcontroller to continuously monitor a vehicle's movements and orientation through sensors and GPS modules. Using sophisticated algorithms, it can detect and identify accidents by analyzing data from the sensor. When an accident is detected, the system automatically triggers alerts to …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 1, 2025 · pp. 10–16 Read article
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Implementation of K-Means clustering algorithm with technical indicators to identify Profitable stocks
Abstract: In the ever-changing world of stock market trading, accurately predicting price movements is key to maximizing profits. Technical analysis, which looks at past price data to predict future trends, provides valuable insights for investors. This paper delves into using machine learning methods, particularly the K-Means clustering algorithm, along with moving average data, to categorize daily trading patterns. By breaking down the market into clusters and examining the main patterns within …
Published in Current Trends in Signal Processing · Vol. 13, Issue 3, 2023 · pp. 8–14 Read article
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Development of a Robot for Identifying a Unique Object
Abstract: Identifying unique object and separating it from other objects is a major task in most industries. The objects can be separated based on colour and shape parameters. In this paper a robot is designed and tested to identify unique object based on shape in a given specified region. It assumed that the object may be a cube or a sphere. A unique object identified will have either different colour or …
Published in Journal of Electronic Design Technology · Vol. 7, Issue 2, 2016 · pp. 35–40 Read article
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Parameter Identification at Large Scale through Solution of the Inverse Problem
Abstract: The fundamental benefit of groundwater modeling is to predict the response of the aquifer to the proposed man-mad excitation (e.g., pumping artificial recharge). Inverse analysis is frequently used for large-scale real-world problems, where the number of unknown parameters that will fully represent the heterogeneity becomes very large and the inverse analysis solution becomes ill-posed, to overcome this problem, in the present paper the study domain is divided into zones connected …
Published in Recent Trends in Civil Engineering & Technology · Vol. 11, Issue 1, 2021 · pp. 25–39 Read article
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Composition of Ideal Fluid Flows Around Cylinder Using Bilinear Transformation
Abstract: Advent of conformal mapping eases to model a flow in sought-after domain without trade- off between laws of fluid mechanics and the theory of complex valued-functions. The far-reaching properties manifested by conformal mapping discern and facilitate solution of large class of two-dimensional flow problems. Bilinear transformation is amidst the conformal mappings. The properties, mapping a circular boundary onto horizontal line and composition of bilinear transformations is again a bilinear transformation …
Published in Recent Trends in Fluid Mechanics · Vol. 10, Issue 1, 2023 · pp. 31–38 Read article
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Back-Propagation Neural Network Based Speaker Identification Under Noise Distortion
Abstract: The aim of this paper is to evaluate the performance of the proposed speaker identification system where Wiener filtering technique has been used to eliminate the background white Gaussian noises and linear discriminant analysis has been used to reduce the dimension of the speech features. Since the audio signal captures more environmental noises than other biometrics modalities, the main emphasis of this paper is to analyze the problem domains of …
Published in Trends in Electrical Engineering · Vol. 5, Issue 2, 2015 · pp. 1–6 Read article
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Native Language Identification from Spoken Indian English
Abstract: Automatic speech recognition (ASR) systems that facilitate voice based search and information retrieval have gained importance recently. While the performance of ASR systems for Indian languages have improved in the recent past. They have yet to gain wide acceptability as much as the ASR systems for English spoken by Indians. Almost all Indians learn English as a second or third language. So, the phoneme set and the prosody of native …
Published in Trends in Electrical Engineering · Vol. 9, Issue 2, 2019 · pp. 1–6 Read article
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Stature Estimation for Human Identification by PA Cephalometric Mandibular Parameters
Abstract: Background: Biological profile assessment for establishing identity can be done by using cephalometric radiographs. As often the skull and mandible are the only remains available, they can be used to get estimate of stature which is one of the important parameters for personal identification. This study was aimed at deriving stature from Posterio-anterior (PA) cephalometric mandibular parameters in adult Chhattisgarh population. Method: About 50 males and 50 females in the …
Published in Research and Reviews: A Journal of Dentistry · Vol. 10, Issue 1, 2019 · pp. 31–35 Read article
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Identification of Incidence and Outcome of Diffuse-Axonal Injuries
Abstract: Background: Diffuse axonal injury (DAI), a specific type of traumatic brain injury, may be caused by shearing forces leading to widespread tearing of axons and small vessels. This study is designed to identify the incidence, risk factors, mortality and analyze outcome in DAI. Method: 120 patients with DAI were recorded in the duration of 2 years. DAI was confirmed by signs of injury identified in radiology imaging. Patients underwent surgery, …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 8, Issue 2, 2018 · pp. 18–22 Read article
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A Research Project on Identification and Reporting of Adverse Drug Reactions in General Medicine Ward of an ESI Hospital
Abstract: Aim: The study aims at identifying and reporting the adverse drug reactions (ADRs) in general medicine ward of an ESI hospital, Bangalore, Karnataka, India. Objective: Prescription study, analysis and prevention of medication-related problems (ADRs), identifying and minimizing medication-related problems, improving patient safety initiatives, improving the patient health-related outcomes, reducing work burden of physicians, and providing better therapy to large number of patients. Methodology: Study Design: It was a prospective and …
Published in Research and Reviews: A Journal of Toxicology · Vol. 8, Issue 3, 2018 · pp. 9–14 Read article
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Data Maneuvering Identification
Abstract: Copy-move forgery detection (CMFD) is unquestionably one of the most active research areas in the field of blind image forensics. Most existing algorithms rely on block and key-point strategies, either separately or jointly. Recent applications of deep convolutional neural network (CNN) techniques include image forensics, image hashing retrieval, and picture classification. These techniques have outperformed more conventional techniques in many areas. In this study, a brand-new convolutional neural network based …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 1, 2023 · pp. 99–104 Read article
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Hand Geometry based Person Identification System using Support Vector Machine
Abstract: In recent times, it is immensely important to identify a person to access the secure data in a system. In this case, verification and identification techniques play a vital role to secure the process. Password system has failed to provide such kind of security. We highly emphasize on the biometric characteristics to design such secured systems. In this paper, we provide a way to identify a unique person by his …
Published in Current Trends in Signal Processing · Vol. 5, Issue 1, 2015 · pp. 26–33 Read article
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Fault Identification by Wavelet Feature Extraction in Self Aligning Rolling Element Bearings Using Neural Networks
Abstract: This paper aims to present a comparison of different individual defects in self aligning ball bearings by the use of statistical tools and machine learning techniques like artificial neural network (ANN). The results generated are analyzed, and more realistic conformance to the theoretical observations has been drawn. Vibration analysis of a fault affected component gives a good understanding of machine diagnostics. Inner race and outer race defects have been studied …
Published in Trends in Mechanical Engineering & Technology · Vol. 7, Issue 2, 2017 · pp. 11–17 Read article
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Identification of Diabetic Foot Ulcer by Using Filter and Pixel Classification Methods
Abstract: Ulceration of the foot in diabetes is common and disabling and frequently leads to amputation of the leg. Mortality is high and healed ulcers often recur. The pathogenesis of foot ulceration is complex, clinical presentation variable, and management requires early expert assessment. Interventions should be directed at infection, peripheral ischaemia, and abnormal pressure-loading caused by peripheral neuropathy and limited joint mobility. Despite treatment, ulcers readily become chronic wounds. Diabetic foot …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 2, Issue 1, 2015 · pp. 22–31 Read article
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Vulnerability Assessment for Identification of Vulnerable Reaches for Flood, Riverbank Erosion, and Landslide in Himachal Pradesh, India
Abstract: Himachal Pradesh state is very vulnerable to flash floods, landslides, and riverbank erosion. Efforts have been made to develop a tool that can predict these disasters before the event, so that the authorities can take the protection measures. A web-enable vulnerability assessment tool has been developed for identification of vulnerable reaches for flood, riverbank erosion, and landslide in Himachal Pradesh. Historical excessive rainfall events, flash floods events and its causes, …
Published in Journal of Remote Sensing & GIS · Vol. 14, Issue 1, 2023 · pp. 46–61 Read article
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Identification of important wild woody plant species in Debub Ari and Bena-Tsemay district
Abstract: The current study was conducted in Debub Ari and Bena-Tsemay districts of South Omo zone in Southern Ethiopia. This study was initiated to identify important wild woody plant species to increase their suitability and accessibility for human desires. A multi-stage sampling procedure was employed to carry out this study in the selected districts where the resources are available. The result showed that there was forest resources from which important wild …
Published in Research & Reviews : Journal of Botany · Vol. 12, Issue 2, 2023 · pp. 36–44 Read article
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Extraction and Identification of Active Components from Herbs for their Characterization towards Prevention of Poly-cystic Ovary Syndrome
Abstract: Polycystic ovary syndrome (PCOS) is a common gynecological endocrine disorder that causes reproductive and metabolic disturbances. It is more common in females who have obesity and in some females it can also be a genetic disorder. PCOS can be treated by allopathic medicines but they have number of side effects in women like acne and menstrual irregularity. From thousands of years, plants have become a source of medicinal agents without …
Published in Research & Reviews : Journal of Herbal Science · Vol. 11, Issue 3, 2022 · pp. 33–39 Read article
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Identification of Papaya Fruit Ripening Process Using AI
Abstract: Identifying the ripening process of papaya fruit using artificial intelligence involves employing machine learning algorithms to analyze various features such as color changes, texture alterations and chemical compositions. This model is capable of analyzing visual cues to determine the stage of ripeness. The dataset compares images of papaya at various ripening stages, and our AI model demonstrated high accuracy in classifying these stages. Employing machine learning algorithms and image processing …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 13, Issue 2, 2024 · pp. 23–30 Read article
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Enhancing Crop Health: A Review of Image Processing Methods for Leaf Disease Identification
Abstract: This research presents an overview of different image processing techniques for the identification of leaf disease. Many algorithms can be used to identify and categorize leaf diseases in plants, and digital image processing provides a quick, dependable, and accurate method of disease detection. This paper presents various techniques used on multiple crops and the achieved accuracy for each model. Leaf disease detection is a critical task in agriculture to ensure …
Published in Current Trends in Signal Processing · Vol. 14, Issue 1, 2024 · pp. 10–14 Read article
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Automated Blood Cell Counting and Disease Identification Using Image Processing: Implications for Polymer Composite- Based Biomedical Diagnostic Devices
Abstract: Accurate quantification of blood cells is central to clinical decision-making and to the performance of emerging polymer composite–based diagnostic platforms. This work presents a cost-effective, image-processing pipeline for automated counting of red blood cells (including overlapping cells), white blood cells, and platelets from Leishman-stained peripheral blood smears, and articulates its relevance to polymer composite microfluidic and biosensor devices. Implemented in Python with OpenCV, the workflow performs grayscale conversion, median/Gaussian denoising, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 262–270 Read article