ALARM ≈ ALARM
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HOLMES: Real-Time APT Detection through Correlation of Suspicious Information Flows Open
In this paper, we present HOLMES, a system that implements a new approach to the detection of Advanced and Persistent Threats (APTs). HOLMES is inspired by several case studies of real-world APTs that highlight some common goals of APT act…
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Using SCADA data for wind turbine condition monitoring – a review Open
The ever increasing size of wind turbines and the move to build them offshore have accelerated the need for optimised maintenance strategies in order to reduce operating costs. Predictive maintenance requires detailed information on the co…
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A Review of Wearable Technologies for Elderly Care that Can Accurately Track Indoor Position, Recognize Physical Activities and Monitor Vital Signs in Real Time Open
Rapid growth of the aged population has caused an immense increase in the demand for healthcare services. Generally, the elderly are more prone to health problems compared to other age groups. With effective monitoring and alarm systems, t…
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A Survey on State-of-the-Art Drowsiness Detection Techniques Open
Drowsiness or fatigue is a major cause of road accidents and has significant implications for road safety. Several deadly accidents can be prevented if the drowsy drivers are warned in time. A variety of drowsiness detection methods exist …
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Holographic metasurface gas sensors for instantaneous visual alarms Open
Holographic metasurfaces can sense and alarm toxic gases, with integration onto flexible surfaces such as safety glasses.
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RDTIDS: Rules and Decision Tree-Based Intrusion Detection System for Internet-of-Things Networks Open
This paper proposes a novel intrusion detection system (IDS), named RDTIDS, for Internet-of-Things (IoT) networks. The RDTIDS combines different classifier approaches which are based on decision tree and rules-based concepts, namely, REP T…
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Latest Research Trends in Fall Detection and Prevention Using Machine Learning: A Systematic Review Open
Falls are unusual actions that cause a significant health risk among older people. The growing percentage of people of old age requires urgent development of fall detection and prevention systems. The emerging technology focuses on develop…
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Fire Alarm Wallpaper Based on Fire-Resistant Hydroxyapatite Nanowire Inorganic Paper and Graphene Oxide Thermosensitive Sensor Open
Wallpaper with multiple functions, such as fire resistance and an automatic alarm in fire disasters, will be attractive for the interior decoration of houses. Herein, we report a smart fire alarm wallpaper prepared using fire-resistant ino…
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Impact of Alarm Fatigue on the Work of Nurses in an Intensive Care Environment—A Systematic Review Open
Background: In conditions of intensive therapy, where the patients treated are in a critical condition, alarms are omnipresent. Nurses, as they spend most of their time with patients, monitoring their condition 24 h, are particularly expos…
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A Real-Time Construction Safety Monitoring System for Hazardous Gas Integrating Wireless Sensor Network and Building Information Modeling Technologies Open
In recent years, many studies have focused on the application of advanced technology as a way to improve management of construction safety management. A Wireless Sensor Network (WSN), one of the key technologies in Internet of Things (IoT)…
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Systematic Review of Physiologic Monitor Alarm Characteristics and Pragmatic Interventions to Reduce Alarm Frequency Open
BACKGROUND Alarm fatigue from frequent nonactionable physiologic monitor alarms is frequently named as a threat to patient safety. PURPOSE To critically examine the available literature relevant to alarm fatigue. DATA SOURCES Articles publ…
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Detection of Li-ion battery failure and venting with Carbon Dioxide sensors Open
Li-ion battery thermal runaway is a critical safety issue for Electric Vehicles. The proposed global technical regulation No. 20 by the United Nations on Electric Vehicle Safety requires an advanced warning 5 minutes prior to the evolution…
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Study on detection rate of polyps and adenomas in artificial-intelligence-aided colonoscopy Open
The CADe system is feasible for increasing the detection of polyps and adenomas in colonoscopy.
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Association between exposure to nonactionable physiologic monitor alarms and response time in a children's hospital Open
BACKGROUND Alarm fatigue is reported to be a major threat to patient safety, yet little empirical data support its existence in the hospital. OBJECTIVE To determine if nurses exposed to high rates of nonactionable physiologic monitor alarm…
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Chemical Sensor Systems and Associated Algorithms for Fire Detection: A Review Open
Indoor fire detection using gas chemical sensing has been a subject of investigation since the early nineties. This approach leverages the fact that, for certain types of fire, chemical volatiles appear before smoke particles do. Hence, sy…
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Meaningful call combinations and compositional processing in the southern pied babbler Open
Significance Human language is syntactic in its nature: meaningful words are assembled into larger meaningful phrases or sentences. How unique this ability is to humans remains surprisingly unclear. A considerable body of work has indicate…
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Machine Learning based Autonomous Fire Combat Turret Open
The time lag between the identification and the initiation of the actuation protocol is more in conventional fire combat system. This in turn increases the response time resulting in financial loss as well as injuries to human beings. In t…
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Clinical Alarms in Intensive Care Units: Perceived Obstacles of Alarm Management and Alarm Fatigue in Nurses Open
Nurses reported that they felt some fatigue due to clinical alarms, and false alarms were also obstacles to proper management. An appropriate hospital policy should be developed to reduce false alarms and nurses' alarm fatigue.
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Wearable Smart System for Visually Impaired People Open
In this paper, we present a wearable smart system to help visually impaired persons (VIPs) walk by themselves through the streets, navigate in public places, and seek assistance. The main components of the system are a microcontroller boar…
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Traffic noise drowns out great tit alarm calls Open
Anthropogenic noise is one of the fastest growing and most ubiquitous types of environmental pollution and can impair acoustic communication in a variety of animals [1]. Recent research has shown that birds can adjust acoustic parameters o…
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Canine Olfaction: Physiology, Behavior, and Possibilities for Practical Applications Open
Olfaction in dogs is crucial for gathering important information about the environment, recognizing individuals, making decisions, and learning. It is far more specialized and sensitive than humans’ sense of smell. Using the strength of do…
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DeepCrash: A Deep Learning-Based Internet of Vehicles System for Head-On and Single-Vehicle Accident Detection With Emergency Notification Open
Most individuals involved in traffic accidents receive assistance from drivers, passengers, or other people. However, when a traffic accident occurs in a sparsely populated area or the driver is the only person in the vehicle and the crash…
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Seizure detection using scalp‐<span>EEG</span> Open
Summary Scalp electroencephalography (EEG)–based seizure‐detection algorithms applied in a clinical setting should detect a broad range of different seizures with high sensitivity and selectivity and should be easy to use with identical pa…
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Inflammation in osteoarthritis: is it time to dampen the alarm(in) in this debilitating disease? Open
Summary Osteoarthritis (OA) is the most common joint disease that strongly reduces the quality of life in patients; However, no disease-modifying therapy is available. For a long time, OA was considered a non-inflammatory disease that was …
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Drone vs. Bird Detection: Deep Learning Algorithms and Results from a Grand Challenge Open
Adopting effective techniques to automatically detect and identify small drones is a very compelling need for a number of different stakeholders in both the public and private sectors. This work presents three different original approaches…
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EEG Synchronization Analysis for Seizure Prediction: A Study on Data of Noninvasive Recordings Open
Objective: Epilepsy is a neurological disorder arising from anomalies of the electrical activity in the brain, affecting ~65 million individuals worldwide. Prediction methods, typically based on machine learning methods, require a large am…
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An adaptive intelligent alarm system for wireless sensor network Open
Security is one of the imperative issues in an advanced local condition. The current center around formative and research issues of Wireless Sensor Network(WSN) based Smart Home. WSN based shrewd home detection system gives a safe and safe…
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Design of Smart Home Security System using Object Recognition and PIR Sensor Open
This research aims to design and implement a home security system with the capability for human detection. The traditional home security system, i.e. closed circuit television (CCTV) can only capture and record the video without able to gi…
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A smart ontology-based IoT framework for remote patient monitoring Open
The Internet of Things (IoT) is the most promising technology in health technology systems. IoT-based systems ensure continuous monitoring in indoor and outdoor settings. Remote monitoring has revolutionized healthcare by connecting remote…
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The effects of external cues on individual and collective behavior of shoaling fish Open
We examine changes in interaction rules, predictability, and vigilance of x-ray tetras due to external food and alarm cues.