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In the paper are observed methods for synthesis of the information model of the systems' evolution for the variation properties of their parameters. It is proposed to carry out the variations description based on entropy potentials values. As a result, it is possible to obtain compact and representative models in various situations with the original data. The synthesis of these models requires the...
In the last edition of the IEC Standard 61000-4-30 a Rapid Voltage Change (RVC) is defined as “a quick transition in RMS voltage between two steady-state conditions, during which the voltage does not exceed the dip/swell thresholds [1].” Because of their intrinsically sudden nature, RVC-like events are generally hard to detect and to monitor. In fact, no clear criteria to set the detection thresholds...
Cloud computing is gaining an important role in providing high quality IT services. However, the heterogeneous and dynamic nature of the activities it hosts makes the related management operations, serving performance or security purposes, complexes. Leveraging the autonomic paradigm, represents a promising solution but it requires efficient grounded monitoring and analysis functions which can in...
We investigated the estimation of blood pressure (BP) based on the pulse transit time (PTT) and regression forests and propose a noncontact PTT measurement system using microwave and image sensors. The PTT is the time difference between an electrocardiogram and photoplethysmogram recorded in a certain body region and considered a potential indicator of blood pressure. The aim of the present study...
Proton exchange membrane fuel cell (PEMFC) is a new type of clean and efficient fuel cell with wonderful prospect. In consideration of the key position of power supply in the device, estimating remaining useful life (RUL) of PEMFC has positive effects in its new stages of development. Currently, RUL estimation of industrial facilities has played an extremely important role in the field of high safety...
In this paper, a novel diagnoser is developed for diagnosing Discrete Event Systems (DESs) to detect, identify, and locate the occurred faults. In contrast to existing diagnosis techniques, the proposed diagnoser is capable of diagnosing faults that occur prior to and/or after the diagnoser's activation; thus allowing the diagnoser and the understudied system to be initialized asynchronously. Illustrative...
We propose to demonstrate HDBExpDetector, a system for analysts to discover bursty events from a thirdparty web database by using nothing but the existing search interface of the web database to monitor and detect sudden changes to aggregates that satisfy certain user-defined conditions. Video https://youtu.be/7Pwd8o1h5CY.
The wisdom tourism is the important development direction of tourism which will realize the refinement and personalized of tourism. The wisdom tourism needs support of the data flow processing platform and framework because tourism data is dynamic, large number and multi-dimensions. This paper describes a two-stage modular data flow processing framework based on data view and data service. Taking...
We study the sensor selection problem for field estimation, where a best subset of sensors is activated to monitor a spatially correlated random field. Different from most commonly used centralized selection algorithms, we propose a decentralized architecture where sensor selection can be carried out in a distributed way and by the sensors themselves. A decentralized approach is essential since each...
Recently, as elderly people population grows, the burdens on caretakers are getting larger. In daycare centers, caretakers make a daycare report aiming to improve the senior citizen's Quality of Life. However, in the present situation, it is difficult for caretakers to record the senior citizen's activity in detail, since each caretaker needs to take care of several senior citizens at the same time...
We propose here a Doppler-radar implementation at 60 GHz for contactless monitoring of vital signs (respiration and heartbeat). In order to provide a real-time detection of non-stationary vital signs and critical events, an estimation technique is here used by means of a wavelet transform of the received signals. Moreover, the amplitudes of the relevant vital movements can be deduced by the wavelet...
Internet of things (IoT) integrate the technologies such as sensing, communication, networking and cloud computing in wide range monitoring zone. For applications of IoT, the most appropriate monitoring network is wireless sensor networks (WSN). It is most important to develop energy efficient cluster head (CH) selection scheme to increase the network lifetime of WSNs. It is most crucial to save the...
In this paper, we present a system that is a combination of spatial and temporal processing to emphasize the subtle changes in a video. Images and videos contain valuable information about the changes that evolve over time. There is a lot of information in videos, which is not visible by naked eye, and we need to magnify these small changes to study its behavior. The human eye has limited spatial-temporal...
The conventional positioning systems require the users to carry an electronic device, which helps in the localization process. Device-free Passive Localization (DfPL) techniques are used to position the users in a passive manner such that they do not engage in the process. A typical DfPL setup comprises of Wi-Fi Access Points (APs) that transmit periodic signals to Monitoring Points (MPs). Any intrusion...
In industrial environments, it is often difficult and expensive to collect a good amount of data to adequately train expert systems for regression purposes. Therefore the usage of already available data, related to environments showing similar characteristics, could represent an effective approach to find a good balance between regression performance and the amount of data to gather for training....
The paper presents the application of sparse representation in feature extraction for the cuffless estimation of Blood Pressure (BP). The sparse coding dictionary learned from the signal of our interest can easily represent the signal in terms of sparse coefficients. Considering the similarity in the pulse shape of Photoplethysmogram (PPG) and Arterial Blood Pressure (ABP), the sparse coefficients...
A primary concern of many elders is ‘solitary death,’ being found as a rancid corpse long after they had passed away. In numerous cases, bodies are left unattended for days, months, or even years. These unfortunate cases have increased every year and have become a major social problem in many nations. Current warning systems utilize sensors or smartwatches, which are often costly, ineffective, and...
In the past period, great efforts have been made to develop the methods for the detection of human beings based on a monitoring their respiratory motion. For that purpose, ultra-wideband sensors (radars) operating in the frequency band DC-5GHz can be used with advantage. The basic principle of respiratory motion detection consists in the identification of sensor signal components possessing a significant...
Body weight is an important measurement parameter towards management of obesity, diabetes and overall health. Previous research and society at large has primarily focused on long-term fluctuation in body weight to describe and quantify weight gain or loss. Meanwhile, little emphasis has been placed on the potential benefit of monitoring short-term body weight changes. Activities of daily living including...
In this paper the different approaches to creating the mathematical models for identification the recurrent laryngeal nerve by electrophysiological method are given.
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