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1987 articles for “Lap Splice Detection” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Faults Detection Techniques of Three Phase Induction Motor: A Review
Abstract: Induction motors are the most commonly used machines in industries. It is very robust, inexpensive and easy to maintain. Induction motors appear to various faults during their operation. Accurate fault identification is the prime industrial need to reduce breakdown, maintenance and revenue losses. Therefore, an early fault detection is needed for the protection of the motor against electrical and mechanical failures for continuing their operation safely. The main perspective of …
Published in Journal of Control & Instrumentation · Vol. 9, Issue 1, 2018 · pp. 45–49 Read article
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Synopsis of Plant Disease Detection Methodologies and their effect on Environment
Abstract: Agriculture is the primary occupation in India. It accounts for 18% GDP and provides employment to 50% of country’s labour’s. However, due to climate change, yield of crops is reducing and affecting Indian economy. One of the reason behind this is increase in number of plant diseases. So, disease detection becomes vital. But it needs huge personnel, additional processing time, extensive knowledge on plants and their diseases. Hence, machine learning …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 10, Issue 3, 2020 · pp. 16–21 Read article
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Changes Detection of Land Use/Land Cover Vector Data in Nirmal Mandal, Adilabad District, Telangana State, India
Abstract: AbstractLand use/land cover change detection techniques by using LISS-IV satellite image helps to analyze their topographic features and landscape dynamics. Spatial data of 2005 and 2015 satellite images have been studied for comparison of agricultural, barren, cultivated, built-up and wastelands. These categories, indications results has been increased by, agricultural land (36.8% with an area of 80.3 km2) and 45.7% (99.7 km2), uncultivated land [38.60% (84.2 km2 and 29.70% (64.8 km2)], …
Published in Journal of Geotechnical Engineering · Vol. 5, Issue 1, 2018 · pp. 11–17 Read article
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Real-time Collision Detection for Visually Impaired Peoples
Abstract: AbstractThe blind people are at a significant drawback because they often lack the information for avoiding obstacles and threats in their path. They have very little information on self-velocity, objects, route, etc., which is essential for travel. Previously developed navigation systems use costly equipment which is often not affordable by the common blind peoples. Also, the navigation systems available are heavy weighted and very complex to use. Our research is …
Published in Journal of Microcontroller Engineering and Applications · Vol. 5, Issue 1, 2018 · pp. 1–4 Read article
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IoT-based Smart Drowsiness Detection and Alert System
Abstract: Drowsiness detection systems are necessary in the current era, as drowsy driving contributes to about 20% of all traffic accidents. Approximately 50,000 people have accidents due to drowsy driving annually. Because driving when tired is dangerous, new strategies must be devised to mitigate the impact. Our system is a microcontroller-based system for protecting drivers from unsafe driving based on the physiological parameter of eye blinking. The proposed system detects the …
Published in Journal of Microcontroller Engineering and Applications · Vol. 10, Issue 2, 2023 · pp. 45–50 Read article
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A Review on FPGA Parallel Architecture for Object Detection
Abstract: The main purpose in the case of present paper is to summarize the different parallel architecture techniques implemented on FPGA by which we can fulfil our requirement of object detection in image processing system. In image processing, it is difficult to find high precision and real time performance even in most powerful CPU. The various parallel architecture techniques can help in to give better performance and achieve high precision. This …
Published in Journal of VLSI Design Tools and Technology · Vol. 8, Issue 2, 2018 · pp. 42–48 Read article
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Characterization of High Speed Phase Frequency Detector Circuit
Abstract: In this paper the performance of high speed phase frequency detector (PFD) is analysed. A high-speed PFD reduces the power consumption of traditional PFD to 0.423 nW at 1 GHz clock frequency and dead zone to 2 ps. It is suitable for low power applications. A PFD uses only 18 transistors. This PFD operates up to 1 GHz at 1.2 V supply voltage. The proposed architecture of the PFD has …
Published in Journal of VLSI Design Tools and Technology · Vol. 5, Issue 1, 2015 · pp. 51–58 Read article
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Detection of LPG using AVR Microcontroller
Abstract: AbstractThis paper deals with the designing of a system for the detection of the presence of LPG leakage. This device detects the leakage of gas at any place that could be in a car, in service station, storage tank or in a home. As the device sense the gas leakage, buzzer generates a high-volume signal with LED turn ON, and notification to user mobile. The sensor not only sense the …
Published in Recent Trends in Electronics Communication Systems · Vol. 4, Issue 3, 2017 · pp. 9–12 Read article
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Fire Detection and Control Passenger Trains using LabVIEW
Abstract: AbstractWith the busy life schedules and selfishness of the individuals, people lack the interest and zeal to know the world around them and the happenings in the world. In occurs of mishaps like accidents etc. people are least concerned and fears from offering help because of judiciary. This raises the need for finding a solution by incorporating fire detection and control to reduce the impact of accidents due to fire …
Published in Recent Trends in Electronics Communication Systems · Vol. 5, Issue 1, 2018 · pp. 26–31 Read article
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Smart Accident Avoidance System based on Alcohol and Heartbeat Detection
Abstract: AbstractIn our project, we are introducing a new smart system that will detect drunken persons and abnormal condition persons by alcohol sensor and heartbeat sensor. GSM system is used to send a message to the police station and relevant numbers for immediate action. GPS based system is used here to track those cars. Alcohol sensor detects the drunken persons before the ignition of the car, the car’s ignition will immediately …
Published in Journal of Computer Technology & Applications · Vol. 10, Issue 2, 2019 · pp. 27–31 Read article
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Comparative Analysis of a Lie Detector using Support Vector Machine, Naive Bayes, and Random Forest Algorithm with Speech to Text Conversion
Abstract: Lie detection, additionally known as deception detection, uses questioning techniques to determine truth and falsehood in response. Physiological responses like vital sign, blood pressure, heartbeat, and respiratory rate are used to discriminate between truth and lie. Once we lie, our blood pressure goes up, our heart beats quicker, we have a tendency to breathe faster (and our breathing slows once the lie has been told), and changes occur in our …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 9, Issue 1, 2021 · pp. 13–18 Read article
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Entropy of Network Analysis and Cluster Detection Using Markov Theory
Abstract: Networks square measure an important part of nature and society; nonetheless several aspects of networks operate square measure still mostly unknown. from understanding the networks play a task; however even a small number of the foremost basic questions about networks will be troublesome to answer. Nevertheless, square measure two networks alike or different? However, do networks within networks type and the way will clusters be detected? As networks have amendment …
Published in Journal Of Network security · Vol. 6, Issue 3, 2018 · pp. 1–4 Read article
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Square Shape CPW Antenna for Breast Cancer Detection
Abstract: In this study, a antenna design is proposed to detect the breast cancer tissues by using microwave imaging based on the contrast in electrical properties of healthy fatty Breast tissues. The designed antenna is affordable as a primary health observation and has no health risk. A highly directive flexible structure is presented for microwave imaging which can be used in clinical diagnosis. To detect the tumour in a breast phantom, …
Published in Research and Reviews : Journal of Computational Biology · Vol. 8, Issue 1, 2019 · pp. 34–38 Read article
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Dental Professional's Role in Early Detection of Oral Carcinoma- A Review
Abstract: It is well known today that early diagnosis of oral carcinoma greatly increases the probability of cure, therefore leading to minimum impairment and deformity. Oral cancer incidence rose dramatically during the 20th century in the United States and Europe. Delays in the diagnosis of oral cancer are universal and affect a significant number of patients throughout the world. Clinical examination and diagnostic techniques can lead to the early detection of …
Published in Research and Reviews: A Journal of Dentistry · Vol. 2, Issue 1-3, 2011 · pp. 22–33 Read article
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Convolutional Neural Network and Transfer Learning-based Approach for Brain Tumor Detection in Magnetic Resonance Imaging
Abstract: Brain tumors are among the most invasive illnesses that can affect both children and adults. Brain tumors develop very quickly, and if not treated at the proper time, they decrease the patient's chances of survival. It is crucial to find brain tumors at an early stage. To increase patients’ life expectancy, proper treatment planning and precise diagnostics are most important. The best way to detect brain tumors is via Magnetic …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 13, Issue 2, 2023 · pp. 23–30 Read article
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Effectiveness of Structured Teaching Programme on Knowledge Regarding Postmenopausal Bleeding and Early Detection of Endometrial Cancer Among Postmenopausal Women Residing in Selected Area
Abstract: The present study was aimed to assess the effectiveness of structured teaching programme (STP) on knowledge regarding postmenopausal bleeding (PMB) and early detection of endometrial cancer among postmenopausal women in the selected area. In view of the nature of the problem under study and to accomplish the objectives of the study, evaluative approach was found to be appropriate to describe the knowledge of postmenopausal women regarding PMB and early detection …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 9, Issue 1, 2020 · pp. 41–46 Read article
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Fruit Adulteration Detection Utilizing Machine Learning Methods
Abstract: A device utilizing Internet of Things (IoT) technology was developed for the identification of fruit adulteration through machine learning methods, specifically targeting formalin content assessment. The identification of the fruits based on their extracted traits has been accomplished using a variety of machine-learning techniques. The formalin concentration can be detected as an estimate of the generated voltage of any fruit via an Arduino Uno board 3 and a volatile compound …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 1, Issue 1, 2023 · pp. 32–45 Read article
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A Security Investigation Survey of Ransomware Detection and Avoidance Strategies for IoT Networks
Abstract: The internet of things (IoT) refers to the interconnection of a large number of distinct physical objects, which in turn makes possible a variety of services and applications. Because the IoT sector is developing at such a rapid rate, ensuring its safety ought to be a high concern. At this time, ransomware attacks constitute the biggest danger to IoT posed by cyberattacks. Ransomware is software that blocks access to or …
Published in International Journal of Information Security Engineering · Vol. 1, Issue 2, 2023 · pp. 14–23 Read article
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Machine Learning Based Early Cataract Detection: A Predictive Modeling Approach
Abstract: Cataracts, characterized by dense cloudy areas in the eye’s lens, afflict more than 50% of elderly individuals, leading to impaired vision and potential blindness. Detecting cataracts at an early stage is crucial to facilitate simpler treatments, as neglecting the condition may necessitate complex eye surgery. To address this issue, we are creating a predictive system that identifies cataract disease by analyzing user-provided eye features. To achieve this, we leverage OpenCV, …
Published in International Journal of Computer Science Languages · Vol. 1, Issue 2, 2023 · pp. 1–8 Read article
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Procedure for Conventional Facial Emotion Detection Algorithms Based on Machine Learning
Abstract: Researchers in psychology, computer science, linguistics, neurology, and allied fields have become more interested in a human-computer interface system for autonomous face recognition or facial expression recognition. This study has recommended an Automatic Facial Expression Recognition System (AFERS). The proposed methodology consists of face detection, feature extraction, and facial expression identification processes. The initial phases of the face detection procedure include skin color identification using the YCbCr color model, illumination …
Published in International Journal of Electronics Automation · Vol. 1, Issue 1, 2023 · pp. 07–13 Read article