Far-infrared pedestrian detection approaches for advanced driver-assistance systems based on high-dimensional features fail to simultaneously achieve robust and real-time detection. We propose a robust and real-time pedestrian detection system characterized by novel candidate filters, novel pedestrian features and multi-frame approval matching in a coarse-to-fine fashion. Firstly, we design two...

STUDY OBJECTIVES The UK government recommends that local authorities install battery operated smoke alarms to prevent fire related injury. However, a randomised controlled trial of smoke alarm installation in local authority housing found a low level of working alarms at follow up. Qualitative work, which accompanied the trial explored barriers and levers to the use of this public health interv...

The object of electrocardiographic (ECG) monitoring is the observation and assessment of the heart's electrical activity. Cardiac monitoring has become extremely commonplace in recent years in critical care and ambulatory settings. Electronic advancements have produced instrumentation with the potential of providing accurate information and reliable heart rate alarms. Computerized monitors enha...

From the first appearance of network attacks, the internet worm, to the most recent one in which the servers of several famous e-business companies were paralyzed for several hours, causing huge financial losses, network-based attacks have been increasing in frequency and severity. As a powerful weapon to protect networks, intrusion detection has been gaining a lot of attention. Traditionally, ...

Clinical alarms have a deceptively simple purpose, which is to notify caregivers when a patient or a device needs their attention. This simple concept has been proven to be challenging as the number of available alarms has grown and been poorly integrated. When an anticipated notification is not received or an actual notification is not acted upon in a timely manner, patient harm can occur. In ...

In this paper, we present the design and implementation of a Collaborative Intrusion Detection System (CIDS) for accurate and efficient intrusion detection in a distributed system. CIDS employs multiple specialized detectors at the different layers – network, kernel and application – and a manager based framework for aggregating the alarms from the different detectors to provide a combined alar...

We consider a feature selection method to detect skin tumors on chicken carcasses using hyperspectral data. A chicken skin tumor is an ulcerous lesion that is surrounded by a rim of thickened skin. Detection of chicken tumors is a difficult detection problem because chicken tumors are of many sizes and shapes; some tumors appear on the side of chicken. In addition, different areas of normal chi...

Intrusion Detection System (IDS) is the most powerful system that can handle the intrusions of the computer environments by triggering alerts to make the analysts take actions to stop this intrusion, but the IDS is triggering alerts for any suspicious activity which means thousand alerts that the analysts should take care of it. IDS generate a large number of alerts and most of them are false p...