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Many coaches and athletes are showing an increasing interest in training monitoring systems every year. There is a plethora of performance markers that can aid in a coaches assessment of physiological and psychological conditions of their athletes. These markers can indicate an athletes readiness for competition, adaptation to training, or risk for injury. However, studies have shown examination of...
Virtual Reality (VR) has as goal the creation of digital three dimensional environments to run in real time interactive and realistic experiences. The experiences can be augmented by the use of haptic systems, able to provide sense of touch in virtual objects. The anesthesia procedure is present in all surgeries to keep stable the patient physiology. The use of VR based simulators for anesthesia training...
Successful ECG monitoring algorithms often rely on learned models to describe the heartbeats morphology. Unfortunately, when the heart rate increases the heartbeats get transformed, and a model that can properly describe the heartbeats of a specific user in resting conditions might not be appropriate for monitoring the same user during everyday activities. We model heartbeats by dictionaries yielding...
Predicting early signs of illness in older adults by utilizing a continuous, unobtrusive nursing home monitoring system has been shown to increase the quality of life and decrease the cost of care. Illness prediction is based on sensor data such as motion and bed and uses algorithms such as support vector machine (SVM) or k-nearest neighbor (kNN). One of the greatest challenges in developing prediction...
Currently, literature points out the lack of studies about collaborative virtual environments with intelligent tools capable of providing automatic evaluation feedback of different collaborative procedures (e.g., surgical, military training). In addition, there is a lack of classifications and methodologies for the implementation of CVEs with simultaneous evaluation of multiple users, making it difficult...
This work proposes an ANN based method for fetal heart rate monitoring. Various measurements are taken and given as input to the ANN based classifier to detect fetal health such as ‘Normal’, ‘Suspect’ and ‘Pathologic’. All the design and simulation works are carried out with MATLAB software. ANN based classifier is trained with data from various recordings of cardiotocography. After the network is...
Heart rate variability (HRV), a feature extracted from the heart rate signal, is commonly used for monitoring training loads, and fitness status within athletes. Various sensors can be used to ascertain HRV within athletes; two of which are considered within this investigation, namely PPG and ECG. We present methods for HRV collection and calculation using PPG, reducing HRV collection time requirement...
A novel ultra-wideband radar sensor system for simultaneous detection of falls and vital signs is presented. The suggested system is able to deal with real-life conditions, such as lack of real-fall data for training, body movements, several people present, and privacy issues. Micro-Doppler features, extracted from time-frequency spectrograms, are used to classify human actions as related to normal...
Indonesia is a big country which has many isolated power system networks. Sumatera power system is one of the main power system networks in Indonesia that supplies electricity for more than 45 million inhabitants in Sumatera Island. For the transmission topology and load characteristic, there are some dynamic stability problems in Sumatera power system such as voltage and small signal stability. To...
We propose a homing constrained bi-objective optimization variant of budget-limited informative path planning for monitoring a spatio-temporal environment. The objective function consists of weighted combination of two components: model performance which must be maximized and travel distance which must be bounded by the maximum operational range. Besides this, we have additional constraints that guarantee...
In current business and product development processes, creating and editing diagrams (e.g. Statechart diagrams, Flowcharts or BPMN) play an important role. Three input methods can be distinguished: traditional mode-based editors, sketching editors, and gesture-based editors. Most of today's diagram editors are mode-based and use mouse & keyboard as input devices. (Multi-)touch inputs have not...
We need more skilled cybersecurity professionals because the number of cyber threats and ingenuity of attackers is ever growing. Knowledge and skills required for cyber defence can be developed and exercised by lectures and lab sessions, or by active learning, which is seen as a promising and attractive alternative. In this paper, we present experience gained from the preparation and execution of...
In the enterprise training, a digital telephone system with special functions is needed and there are no such products on the market. In this paper, a digital telephone system for training is designed based on CAN (Controller Area Network) bus and Ethernet. The SPC (Stored Program Controlled) telephone exchange is designed with distributed multi processors which communicate by CAN. In the system,...
This paper considers architecture and functionality of the embedded data acquisition system for automated beehive monitoring. A description of constructed sensor subsystems is given. Proposed solution acquires hive temperature, humidity and weight referring this data to the mobile application via wireless network. The system also performs an analysis of collected bee noises with artificial neural...
Now situational and competence centers (SCC) play important role in Russia digital economic. The general purpose of SCC relates to solve the federal (regional) resources management optimization problem in order to increase the economic and social stability in the society and minimize all kinds of losses resulted in state of emergency situations and their aftermath caused by social and economic crises,...
Cyber Defense Exercises have received much attention in recent years, and are increasingly becoming the cornerstone for ensuring readiness in this new domain. Crossed Swords is an exercise directed at training Red Team members for responsive cyber defense. However, prior iterations have revealed the need for automated and transparent real-time feedback systems to help participants improve their techniques...
In this paper, a novel classifier for classification problems, based on increment support vector data description, is proposed. The proposed method is the expand version of increment support vector data description by bring in two classes of sample. Because of the addition of two kinds of sample. This method can reflect the target sample distribution state more complete in super ball space. The results...
For modern industrial processes, timely detection of incipient faults is of vital importance so as to ensure safe and optimal process operation. Though recently statistical process monitoring (SPM) has been extensively studied and widely applied in practice, conventional multivariate statistics are usually not sensitive to incipient faults. In this paper, a new multivariate statistical index called...
Training and retraining of experts oriented to the work in the Analytical Centers requires the use of modern training technologies. It is promising to create and integrate into the Analytical Center structure an Intelligent Training System that provides dynamic experts training in a mixed (offline / online) information space, taking into account their motivation, level of education, information and...
A set of methods for estimating the parameters of the production process is proposed. This set includes expert assessments, Pareto analysis and elements of neural networks based artificial intelligence. The set forms up the methodology for assessing the state of the production process and forecasting its implementation. The sequence of application of individual methods is substantiated. Algorithms...
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