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4 articles for “Real-time alarm processing”
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Enhancing Network Alarm Handling Efficiency: An Improved Apriori Algorithm with FCM Approach
Abstract: Network alarm systems generate large volumes of alarms, often resulting in redundant or irrelevant data that complicates efficient fault detection and resolution. This paper presents an enhanced approach to network alarm handling by integrating the Apriori algorithm with the Fuzzy C-Means (FCM) clustering method. The Apriori algorithm is used to uncover frequent alarm patterns, while FCM addresses the complexity of overlapping alarm data, enabling the association of alarms with varying …
Published in International Journal of Broadband Cellular Communication · Vol. 10, Issue 2, 2024 · pp. 1–6 Read article
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A Review on FPGA-Based Automatic Crash Detection and Airbag Deployment System
Abstract: Every year there are many people die or become injured due to car crashes around the world- -these injuries can vary from slight to severe. Airbags prevent car accident related injury and death. In order for the airbag to operate successfully (i.e., airbag to deploy properly, at the right speed, for the right amount of time) there has to be a decrease in the time that it takes to deploy …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 Read article
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Intrusion Detection System Using Gated Recurrent Neural Network
Abstract: In the realm of cybersecurity, the constant evolution of threats demands sophisticated intrusion detection systems (IDSs) capable of discerning intricate patterns in network traffic. This study proposes an IDS leveraging the capabilities of gated recurrent neural networks (GRNNs) to enhance the detection of anomalies and potential security breaches. The GRNN architecture, employing mechanisms like long short-term memory (LSTM) and gated recurrent unit (GRU), demonstrates efficacy in capturing long-range dependencies within …
Published in International Journal of Software Computing and Testing · Vol. 10, Issue 1, 2024 · pp. 1–8 Read article
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Anomaly Detection Network for Surveillance Video
Abstract: Anomaly Activity is the prediction of a suspicious activity from a picture or video. This project would include using neural networks to detect suspicious human activity from real-time CCTV video. Human Anomaly Activity is a central issue in computer vision that has been researched for over 15 years. It is significant due to the large number of applications that can benefit from Activity detection. Human pose estimation, for example, is …
Published in International Journal of Software Computing and Testing · Vol. 7, Issue 2, 2021 · pp. 13–20 Read article