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At present, several studies exist describing the relevance of human factor in air transport with main focus on pilots and flight safety. Within such studies, monitoring of physiological functions is used. There are lot of physiological parameters and methods of their assessment; however, they are mostly based on principles originating from clinical practice. Yet, sensitivity and specificity of these...
This paper considers two approaches for detecting and classifying undesirable events in offshore naturally flowing wells. The operation of an oil well requires many decisions that can avoid production losses and additional costs. Two data-based methods are proposed using k-nearest neighbors, sliding windows and time multiscale. The parameters required by these classifiers are tuned using data from...
The vast attack surface of clouds presents a challenge in deploying scalable and effective defenses. Traditional security mechanisms, which work from inside the VM fail to provide strong protection as attackers can bypass them easily. The only available option is to provide security from the layer below the VM i.e., the hypervisor. Previous works that attempt to secure VMs from "outside"...
Advanced Monitoring Systems are fundamental in advanced manufacturing for control, quality and maintenance purposes. Nowadays, with the increasing availability of data in production and equipment, the need for high-dimensional Anomaly Detection techniques is thriving; anomalies are data patterns that have different data characteristics from normal production instances and that may be associated with...
We address change-detection problems in the challenging conditions where data are multivariate and no a priori information or experimental evidence suggests a specific family of distributions to match stationary data. In such nonparametric settings, one typically resorts to computing an empirical model for the distribution of stationary data in the form of histograms. We here analyze two ways for...
An adaptive neuro-fuzzy inference system-based partial least squares (ANFIS-PLS) method was proposed for monitoring nonlinear processes. The ANFIS was used as a predictor to represent the nonlinear relationship between input and output score variables in each inner loop of PLS, and fuzzy c-means clustering was employed to determine the number of fuzzy rules. Moreover, the hybrid learning algorithm...
Aircraft piston engine can be monitored using an advanced graphic engine monitor. Such engine monitor can supply a large amount of data containing evolution of engine parameters through the time. Analysis of a vast amount of multidimensional temporal data by a self-organizing map may aid in data visualization, but also in detection of engine parameter deviations from normality indicating potential...
Sleeping is one of the most important activities in our daily lives and affect our health. However, very few people could really understand their sleeping habits, which is important to avoid potential sleep-related diseases. Most current studies on sleeping posture studies aim at the monitoring of sleeping postures. However, they are limited to be used in hospitals and need experts to operate these...
On Field calibration is increasingly considered as the best performing approach for air quality monitor devices. Field recorded sensor data together with co-located reference data build suitable dataset that are more representative of the complexity of real world conditions. However, many researchers pointed out the possible lack of generalization due to the strong dependence on the condition encountered...
As security incidents continue to impact organisations, there is a growing demand for systems to be ‘forensic-ready’ - to maximise the potential use of evidence whilst minimising the costs of an investigation. Researchers have supported organisational forensic readiness efforts by proposing the use of policies and processes, aligning systems with forensics objectives and training employees. However,...
Nuisance from gaseous emissions is evaluated depending on their nature: For known pollutants, analytical instruments provide reliable technical measurements; odors, however, have to be assessed through human sensory analysis. For impact sites, complexity is increased by the size of the relevant area and the scarcity of occurrence. Sensor systems could supplement regulated procedures with continuous...
The enormous growth of information on the Internet makes finding information challenging and time consuming. Recommender systems provide a solution to this problem by automatically capturing user interests and recommending related information the user may also find interesting. In this paper, we present a novel recommender system for the research paper domain using a Dynamic Normalized Tree of Concepts...
Autonomous Systems are systems situated in some environment and are able of taking decision autonomously. The environment is not precisely known at design-time and it might be full of unforeseeable events that the autonomous system has to deal with at run-time. This brings two main problems to be addressed. One is that the uncertainty of the environment makes it difficult to model all the behaviours...
In the states of Andhra Pradesh and Telangana in India, the number of engineering institutions grew from under 10 to over 500 from 1978 to 2008. This resulted in a severe shortage of good quality teachers and therefore poor quality of graduating students. In India, the employability of engineering graduates is 25%. Considering the scale and wickedness of the problem, the lead author and her team worked...
This document presents the organisation of the low voltage (LV) and medium voltage (MV) live work (LW) at Enedis, and the differentiated management of the professionalism of the operators between these two voltage levels.
Our live work training system addresses the need for developing the professional skills of HVB maintenance operators; thus, an employee initially trained to be a live work operator can develop towards the status of live work coordinator. Each initial training course has its own advanced training module, which helps meet the requirements of RTE and reinforce the skills of employees. Our training method...
The increase in the amount of data acquired from the monitoring of power system components has motivated utilities to employ effective strategies for processing the information collected. Hence, salient features can be identified and efficient decisions is made. An important component of any power system is power transformers, which have the single highest value of the equipment installed in high-voltage...
Industrial control systems (ICS) used in industrial plants are vulnerable to cyber-attacks that can cause fatal damage to the plants. Intrusion detection systems (IDSs) monitor ICS network traffic and detect suspicious activities. However, many IDSs overlook sophisticated cyber-attacks because it is hard to make a complete database of cyber-attacks and distinguish operational anomalies when compared...
This paper is focus on the progress of wearable technology in the area of human healthcare. It has been developed a small, low cost, low power consumption and open source wearable system that allows the monitoring of the human physical activities. One of the main reasons for developing this wearable system is to promote the sport activity and combat physical inactivity i.e. a sedentary lifestyle,...
Sleeping is one of the most important activities in our daily lives. However, very few people really understand their sleeping habits, which affect sleep-related diseases such as sleep apnea, back problems or even snoring. Most current techniques that monitor, predict and quantify sleep postures are limited to use in hospitals and/or need the intervention of caregivers. In this paper, we describe...
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