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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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Image Processing Techniques for Detecting and Classification of Leaf Diseases
Abstract: Plants are the way to make a living. From the factors of our daily life to breathing we are totally dependent on plants. Therefore, plant care must be proper. Plant diseases involve, of instance, algae, bacteria, and viruses. Several researchers have to classify plant diseases but it is time consuming to manually identify them. Image processing techniques are used to detect various diseases of the plant. There are several steps …
Published in Trends in Opto-electro & Optical Communication · Vol. 11, Issue 2, 2021 · pp. 1–6 Read article
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Driver Drowsiness Detection System Using Python, OpenCV and Raspberry Pi
Abstract: The number of accidents and deaths can be greatly decreased by using intelligent systems to prevent auto accidents. Human mistakes, such as drowsy driving, are one of the variables that significantly contribute to accidents. The system looks for symptoms of fatigue and sleepiness on a person's face while they are driving. It is based on an image processing technique. This project presents a way to analyze and anticipate driver drowsiness …
Published in Trends in Opto-electro & Optical Communication · Vol. 13, Issue 2, 2023 · pp. 6–15 Read article
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Detecting the Additives Impact on The Durability of Asphalt Concrete
Abstract: Modification of asphalt cement with additives is considered as a sustainable issue to enhance the asphalt concrete quality and durability among the expected service life. An attempt has been made in the present investigation to detect the influence of modification of the asphalt binder by 2 % silica fumes and 4 % fly ash additives on the durability of asphalt concrete in terms of fatigue life under long-term ageing and …
Published in Trends in Transport Engineering and Applications · Vol. 8, Issue 2, 2021 · pp. 21–29 Read article
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AIS-based Anomaly Detection for IUU Fishing Activities
Abstract: The future of the Earth’s fish businesses is seriously threatened by the continuous use of illegal or illicit, unreported, and unregulated (IUU) fishing methods, a growing global demand, and deteriorating ocean ecosystem health. The livelihoods of legal fishing are also harmed by IUU fishing. The ongoing efforts to develop sustainable fisheries policies are also hampered by this. In order to manage fishery resources and ensure the safety of maritime traffic, …
Published in Current Trends in Information Technology · Vol. 13, Issue 1, 2023 · pp. 22–36 Read article
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Wireless Sensor Network: Qualitative Analysis of Diverse BlackHole Detection Plans
Abstract: AbstractWireless sensor network is a mesh of sensor nodes deployed over an area of interest. In wireless sensor network safety plays a critical role. It is also a key concern area imparting an effective challenge to the researchers across the world to find a powerful answer in terms of a protection mechanism closer to the problem. The paper offers the qualitative analysis of various WSN security challenges against a well-known …
Published in Journal of Communication Engineering & Systems · Vol. 9, Issue 3, 2019 · pp. 16–22 Read article
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Integrating Sensor Technologies and Machine Learning for Detection and Mitigation of Structural Deformity and Slope Failure in Opencast Mines
Abstract: With furtherance in the mining industry, accidents due to slope failure are frequent in mining sites. Slope instability, a complex process, seriously threatens the miner’s life and properties. The damage inflicted by slope failures in the recent past has pulled the attention of authorities toward implementing disaster risk reduction measures. This research aims to develop an innovative approach that combines sensor technologies and machine learning techniques to detect and mitigate …
Published in Journal of Communication Engineering & Systems · Vol. 13, Issue 3, 2023 · pp. 38–45 Read article
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Nail Image Processing for Early Symptom Detection of Diseases based on Supervised Learning
Abstract: Digital Image Processing of human nail can be used for the prediction of various systemic and dermatological diseases. The proposed system – Nail Image Processing System using SVM (NIPS-S) helps us to create a model for the analysis of human nail and predict various diseases. The input to the proposed system is the Human Palm Image. The nail portion is segmented and a combination of nail color, shape and texture …
Published in Journal of Computer Technology & Applications · Vol. 8, Issue 3, 2017 · pp. 49–61 Read article
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A Novel Approach for Detection and Prevention of Malicious Nodes in Mobile Ad Hoc Network
Abstract: AbstractIn current years, the mobile ad hoc network (MANET) plays an essential part in networking research environment for sharing information from one to others. It works in the distributed situation and changes the topology very frequently because of its dynamic nature. In our work, we proposed the secure path by calculating the trust of each node in the network. Trust computation is one of the most significant tasks for communication, …
Published in Journal of Computer Technology & Applications · Vol. 8, Issue 2, 2017 · pp. 7–12 Read article
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Detection of Intrusion for Achieving Security in Mobile Ad Hoc Network
Abstract: AbstractMobile means moving, and ad hoc means temporary, with no fastened infrastructure; therefore mobile ad hoc networks area unit a sort of temporary network within which nodes area unit moving with none fastened infrastructure or centralized administration. Deployed in 1990s, mobile ad hoc networks are wide researched for several years. Ad hoc network could be an assortment of nodes that is connected through a wireless medium forming a pace dynamical …
Published in Journal of Computer Technology & Applications · Vol. 8, Issue 2, 2017 · pp. 21–25 Read article
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Leveraging Feature Selection Algorithms for Early Detection of Type-2 Diabetes
Abstract: Numerous feature selection algorithms have been proposed in the past to solve the curse of dimensionality problem. The choice of apt feature selection algorithm is still a fundamental area of research. Feature selection is a process of identifying and removing irrelevant features and retaining only the highest contributing feature set. Feature selection algorithms are primarily used in applications like healthcare where the classification accuracy needs to be high. This study …
Published in Journal of Computer Technology & Applications · Vol. 11, Issue 1, 2020 · pp. 13–20 Read article
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Pneumonia Detection Using Deep Learning–Convolutional Neural Network
Abstract: Pneumonia disease is associate in nursing infectious and deadly illness in metabolic process that is caused by microorganism, fungi, or a deadly disease that infects the human respiratory organ air sacs with the load choked with fluid or pus. Chest X-rays area unit the common methodology accustomed diagnose respiratory disorder and it wants a health worker to gauge the results of X-ray. The hard methodology of detection of the respiratory …
Published in Journal of Computer Technology & Applications · Vol. 12, Issue 1, 2021 · pp. 9–16 Read article
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Agri-Crop Intelligent System for Detecting Crop Disease and Recommending Soil Nutrition Value Based on Soil Testing Using Machine Learning
Abstract: This research examines the economic importance of agriculture for nations like India as well as the ways in which innovation might advance agriculture. In order to assist farmers in increasing their production, the application can classify leaf diseases by evaluating provided photos and that will propose compatible crops and fertilisers according to soil characteristics and current meteorological data. The aim of this research is to develop a website that will …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 2, 2023 · pp. 12–19 Read article
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Automatic Track Faults Detection and Time Delay by using Embedded System
Abstract: AbstractThe technology used in metro train movement is the one which is used in most developed countries. The train contains a controller that gives the permission to the continuous running of the train from initial station to the upcoming destination. In this module, a self-directed train will eliminate the need of any driver; therefore, any manmade error will not take place. In this project, arduino controller has been used as …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 7, Issue 2, 2019 · pp. 10–14 Read article
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IoT-based Driver's Doziness Detection
Abstract: A couple of lakh injuries have happened because of numerous factors, including terrible usage, avoiding protection, motive force fatigue, and so forth. According to statistics, driver indolence constitutes 40% of injuries. Internet of things (IoT) can assist in decreasing the number of accidents. To resolve this problem, a machine for motive force doziness detection is presented in this article. This device uses a system learning algorithm to usually monitor the …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 11, Issue 3, 2023 · pp. 1–9 Read article
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HIDDEN MARKOV MODEL FOR DETECTION AND PREVENTION OF SQL INJECTION ATTACKS
Abstract: Web application have become un avoidable part in day to day life. Online activities such as banking, ecommerce, social networking etc., and these application stored in a back end of the database. It is very sensitive and confidential data, as because it might be get attacked. So security of Web database becomes an important thing. Most of the existing system have drawback such as it take more resources and times, …
Published in Journal Of Network security · Vol. 6, Issue 1, 2018 · pp. 15–19 Read article
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Detection of Fake Request and Response using Certificates Information and IP Address of SDN
Abstract: Data communication in network facilitates access of the content stored at the remote servers using the IP address. In SDN (software-defined networking), these communications are monitored centrally to be out in network operation. The attackers can change the IP address and block the communication to authenticate services or certified IP address authorities generate security certificate to the remote servers. Attackers are also able to modify the host address of the …
Published in Journal Of Network security · Vol. 8, Issue 1, 2020 · pp. 1–10 Read article
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Deep Learning Based Plant Disease Detection
Abstract: Crop diseases are a major threat to food security, but their rapid identification remains difficult in many parts of the world due to the lack of the necessary infrastructure. The combination of increasing global smartphone penetration and recent advances in computer vision made possible by deep learning has paved the way for smartphone-assisted disease diagnosis. Using a public dataset of images of diseased and healthy plant leaves collected under controlled …
Published in Journal Of Network security · Vol. 8, Issue 2, 2020 · pp. 33–42 Read article
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License Plate Detection using CNN
Abstract: Tag recognition is a picture preparing innovation used to distinguish vehicles by their tags. This advancement is used in various security and traffic applications. Deep learning employs complex mechanisms to extract features from samples This paper proposes a system trained using the MobileNetV2 convolutional neural network (CNN) model to detect the characters and digits from vehicle license plates. Our approach is highly influenced by the recent advancements made in the …
Published in Journal Of Network security · Vol. 9, Issue 2, 2021 · pp. 21–27 Read article
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Real-time Criminal Detection Using Face Recognition
Abstract: The objective of this project is to create a criminal face detection system that utilizes machine learning algorithms like TensorFlow and Scikit-learn, implemented in the Python programming language. To handle image processing, OpenCV will be utilized, while SQL will manage the current criminal database. The high-resolution pictures in the database will be split into various components and utilized for training the model, which can identify specific features to recognize the …
Published in Journal Of Network security · Vol. 11, Issue 1, 2023 · pp. 1–7 Read article
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Enhancing Cybercrime Detection Through Big Data Analytics: A Conceptual Framework
Abstract: The growing complexity of cybercrime reduction and prevention difficulties necessitates a different approach to dealing with the massive amounts of data involved. The issues of reducing and preventing cybercrime are becoming more complex as cybercrime becomes ingrained in our daily lives. When it comes to showcasing the original division of criminal activities, traditional police operations typically fall short, which means they contribute less to the right deployment of police resources. …
Published in Journal Of Network security · Vol. 11, Issue 2, 2023 · pp. 1–11 Read article