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Industrial plants are facing today with new challenges to well optimize performance of their operation and maintenance. For example, the sustainability paradigm is introducing new requirements to be taken into account in the decision-making process. In that way, energy consumption (EC) and energy efficiency (EE) are two critical performances impacting severely the plant effectiveness mainly with regards...
An intellectual non-invasive anesthesia machine monitoring system is analyzed in this paper. The system consists of a data acquisition terminal, a communication module and a PC/104 monitoring platform. The data acquisition terminal detects the real-time parameters including tidal flow, airway pressure and oxygen concentration. These parameters will be transmitted to the monitoring platform through...
It is not easy to perform an analyzing of on-line partial discharge (PD) data of solid insulating material under test using common spreadsheet application software like Microsoft Excel. This is because the PD data are normally long and depend on the sampling rate used during insulation sample testing. Data sample will increase when sampling rate increase and time to analyze data will increase, too...
This work depicts the design, validation and implementation of a data acquisition system for automatic control teaching. The system is designed to monitor analog signals through a laptop computer running a standard operating system. Unlike other systems, low-cost hardware is used while the communication with the computer is done through an USB port, granting the student accessibility and portability...
The paper describes results of research on the fall detection in elderly residents based on infra red depth sensor measurements. We present the methodology of data acquisition, preprocessing and the feature extraction. Multilayer perceptron is used for classification. In order to improve the classifier generalization feature selection block by Gram-Schmidt orthogonalization is added. It determines...
A novel solution of the fall detection problem, based on the use of infrared depth sensors, is proposed. A methodology for acquisition of real-world data and their preprocessing is presented. The procedures for feature generation, preprocessing and selection are described. The naïve Bayes classifier is designed for the selected features and its performance is evaluated using a data set consisting...
This paper presents the methodology of the elderly people's fall detection using the k Nearest Neighbors (kNN) as the decision making module. The problem of the data acquisition by the depth sensors and feature selection for this task is introduced. The classification problem is discussed. The decision making algorithm and its parameters are briefly described. Experimental results based on data collected...
This paper puts forward the basic thought of designing cluster monitoring system. Firstly, the daemon running on each server node collect the specific monitoring information and then send processed information to cluster control and processing module. Secondly, the cluster control and processing module receives the processed data, then the data is made some corresponding processing and sent to the...
An online structural damage simulation and monitoring test-bed is introduced, it can provide experimental data for signal processing and feature extraction algorithm. By analyzing features of structural damage and acoustic emission (AE) signals of carbon fiber reinforced composite (CFRP), different kinds of CFRP damage AE signal's numerical models are constructed. The PZT actuator array can generate...
The on-line monitoring system of the pollutant sources accomplishes the acquisition, processing, remote communication and control of all kinds of data. Based on the iCAN protocol and CAN232MB hardware interface, the field data acquisition subsystem collects, processes and summarizes the data which is acquired by the field detective equipment. In addition, CAN232MB can transmit the data to the field...
Developing a reliable online condition monitoring prognostic indicator tool for MV cables is of great importance as it can predict and prevent upcoming failures of the distribution cable circuits. This paper introduces a thermal prognostic model for MV underground cable terminations based on a support vector regression algorithm. The model is shown to predict the likely temperature along the cable...
Space weather is an important area of research. The Space Weather Monitor program was introduced by Stanford SOLAR Center with the aim of building and distributing inexpensive ionospheric monitors (SID). These are used to detect changes to the Earth's ionosphere which are caused by solar flares and other ionospheric disturbances that might affect very low frequency (VLF) radio propagation. SuperSID...
With the advent of Internet of Things (IoT), there is wide application and necessity for different kinds of data monitoring, be it in medical field, industrial field or research field. Hence there is a lot of data to be handled which is heterogeneous in nature. Combining data acquisition and data processing into a single system is a more efficient way of handling data. Spectrum estimation is one key...
An interactive .NET web application is designed for use in remote monitoring of sensor response within a Local Area Network zone. Key performance metrics of the web application such as response times, throughput, processor and disk utilization are measured by employing a standard testing tool. The impact of concurrent users' activities on the performance metrics of the web application have been observed...
In this paper, the application of a portable solar tracking system is implemented to increase energy generation of the photovoltaic (PV) panels. While this portable system provides the monitoring of the maximum solar radiation values, the creation of more efficient solar tracking system is also another significant contribution. Thus, a system which continuously records and monitors the generated voltage,...
Present technologies offer new methods in order to achieve and analyze the vital biological parameters. Continuous monitoring of these parameters represents the infrastructure of on-line systems that have the ability to prevent the sudden cardio-accidents. Furthermore these data can be transmitted and analyzed via common telecommunication systems and in this way emergency medical institutions can...
Sleep monitoring is receiving increased attention in the healthcare community, because the quality of sleep has a great impact on human health. Existing in-home sleep monitoring devices are either obtrusive to the user or cannot provide adequate sleep information. To this end, we present SleepSense, a contactless and low-cost sleep monitoring system for home use that can continuously detect the sleep...
Data acquisition systems must be capable to process all the data produced by the source to ensure the highest level of accuracy, especially when it deals with hard real-time system monitoring. However, the production of data is faster than the process to acquire and to process such a data. Using concurrency approach is an alternative to obtain the required level of performance and data processing...
As power system analysis relies more and more on digital measurement systems, the need of having the correct data stream has become very crucial. Without the insight on the quality of the data, it is very difficult to use the data in different applications -as one might infer wrong information out of the data. A tool has been developed in Alliander with the goal to assert that all links of the data...
Wireless sensor networks (WSN) have plenty potential in many monitoring applications like environmental parameters or building and home automation scenarios including, gas, temperature, humidity, presence motion detection or even power grid analyzer. Recent advances in technology, IC manufacturing, and networking utilizing Bluetooth communications have managed to reduce the total power requirements...
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