165,954 research outputs found
VANET-Based Traffic Monitoring and Incident Detection System: A Review
As a component of intelligent transport systems (ITS), vehicular ad hoc network (VANET), which is a subform of manet, has been identified. It is established on the roads based on available vehicles and supporting road infrastructure, such as base stations. An accident can be defined as any activity in the environment that may be harmful to human life or dangerous to human life. In terms of early detection, and broadcast delay. VANET has shown various problems. The available technologies for incident detection and the corresponding algorithms for processing. The present problem and challenges of incident detection in VANET technology are discussed in this paper. The paper also reviews the recently proposed methods for early incident techniques and studies them
Data Drift Monitoring for Log Anomaly Detection Pipelines
Logs enable the monitoring of infrastructure status and the performance of
associated applications. Logs are also invaluable for diagnosing the root
causes of any problems that may arise. Log Anomaly Detection (LAD) pipelines
automate the detection of anomalies in logs, providing assistance to site
reliability engineers (SREs) in system diagnosis. Log patterns change over
time, necessitating updates to the LAD model defining the `normal' log activity
profile. In this paper, we introduce a Bayes Factor-based drift detection
method that identifies when intervention, retraining, and updating of the LAD
model are required with human involvement. We illustrate our method using
sequences of log activity, both from unaltered data, and simulated activity
with controlled levels of anomaly contamination, based on real collected log
data
Smart Computing and Sensing Technologies for Animal Welfare: A Systematic Review
Animals play a profoundly important and intricate role in our lives today.
Dogs have been human companions for thousands of years, but they now work
closely with us to assist the disabled, and in combat and search and rescue
situations. Farm animals are a critical part of the global food supply chain,
and there is increasing consumer interest in organically fed and humanely
raised livestock, and how it impacts our health and environmental footprint.
Wild animals are threatened with extinction by human induced factors, and
shrinking and compromised habitat. This review sets the goal to systematically
survey the existing literature in smart computing and sensing technologies for
domestic, farm and wild animal welfare. We use the notion of \emph{animal
welfare} in broad terms, to review the technologies for assessing whether
animals are healthy, free of pain and suffering, and also positively stimulated
in their environment. Also the notion of \emph{smart computing and sensing} is
used in broad terms, to refer to computing and sensing systems that are not
isolated but interconnected with communication networks, and capable of remote
data collection, processing, exchange and analysis. We review smart
technologies for domestic animals, indoor and outdoor animal farming, as well
as animals in the wild and zoos. The findings of this review are expected to
motivate future research and contribute to data, information and communication
management as well as policy for animal welfare
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