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This paper presents an effective design solution for a high-sensitivity current-shunt monitor which operates with an independent supply voltage from 5 to 16 V and achieves a wide input common-mode voltage range from −16 to 60 V. The proposed current-shunt monitor adopts two amplifiers, a current source and several resistors to constitute a feedback circuit and successfully sense drops across shunt...
Resistive RAM (ReRAM) is an attractive candidate for next generation embedded nonvolatile memory [1][2], with several advantages compared to conventional flash technology. First, ReRAM is a CMOS-compatible low temperature back-end of line (BEOL) memory. There is almost no mutual impact between ReRAM element and front-end CMOS devices during the wafer processing. Second, it only needs 2∼4 extra masks,...
This paper presents an integrated wireless multiple sensors System-on-Chip (SoC) for healthcare including 3-lead ECG, bio-impedance (Bio-Z), and body temperature. To allow continuous and real-time monitoring, the SoC has included a multi-channel reconfigurable QPSK/BfSK transmitter (TX) to accommodate different power-constraint conditions. Fabricated in 130nm CMOS technology with a total die area...
The prediction of adverse events in patient health has attracted researchers' attention for many years. Sensors in or on the body allow the continuous monitoring of patient's vital signs and their accurate analysis, supporting the generation of medical alerts. Exploring adverse event prediction only makes sense if medical alerts can be promptly transmitted to a hospital emergency response team. However,...
The article deals with the method for the assessment of the fiber-optic communication line reliability taking into account the effect of the optical fiber tension, the temperature influence and the built-in diagnostic equipment errors of the first kind. The reliability is assessed using the theory of Markov chains and probabilistic mathematical modeling. The reliability is assessed in terms of the...
The trend towards the digitalization of our homes is motivated by the development of hardware and software platforms that have been researched in recent years. As in the Internet of Things, building a single, global platform that enables communication with a myriad of devices for home automation is virtually impossible. The platform proposed in this work deals, in isolation, with the problems in each...
This project will present a wireless sensors network. Each sensor node measures noise and CO2 pollution levels inside a specific urban area and a coordinator node stores these measurements in a database made with Java. Finally the obtained results are presented.
In recent years the use of wireless ad hoc networks has seen an increase of applications. A big part of the research has focused on Mobile Ad Hoc Networks (MAnETs), due to its implementations in vehicular networks, battlefield communications, among others. These peer-to-peer networks usually test novel communications protocols, but leave out the network security part. A wide range of attacks can happen...
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...
The microseismic (MS) monitoring in the coal mining provides a powerful method to identify the coal mine geological hazards as well as to prevent against the illegal mining. The challenge of MS monitoring is to extract characteristics of interest from the collected raw MS signals and locate the MS events using effective algorithms. In order to improve the localization accuracy of microseismic sources,...
The evaluation of intelligent transformation level of primary equipment in substation is an important part of the second batch of intelligent substation pilot project. In this paper, pilot projects for the transformation of smart substations in several regional power grids are extensively investigated, of which the following work is done on the basis: Firstly, the evaluation model of intelligent transformation...
Based on in-depth research on the structure of train operation dispatching command system (TDCS) and its operation maintenance status, a TDCS integrated operation and maintenance platform is designed in this paper. This platform realizes real-time monitoring of the computers, network equipment, databases, software and hardware and other infrastructure based on the businesses, effective pre-alarm for...
Microseismic monitoring technology has broad application prospects in large-scale civil engineering safety monitoring fields, such as tunnels. However, due to the lack of a perfect localization method, the microseismic monitoring system has the large localization error at present. To solve this problem, firstly, we preprocess the chaotic microseismic signal, using power spectrum analysis method to...
With the continuous development of large-scale, continuous and complex industries process, the reliability and safety requirements are getting higher and higher of the industrial equipment and control system. Process monitoring has become one of the most important research directions in process automation. In this paper, the ICA-based continuous industrial process system monitoring methods were studied...
In this paper, a novel kernel independent component analysis method which is named improved DKICA is proposed for dynamic industry processes' fault detection and fault diagnosis. The primary idea of this method is how to obtain an augmented measurement matrix in the data kernel space, the independent component analysis is used, so the dynamic and nonlinear features can be extracted in non-linear non-Gaussian...
Pneumatic control valves are the most frequently used actuators in industrial processes. Its property definitely affects the performance of processes and therefore process monitoring of the pneumatic control valve is of great importance. Canonical Variate Analysis (CVA) is a multivariate data-driven method which considers time correlations and has been demonstrated to be superior to some methods in...
In order to improve the safety of the operation of the hydrogen-cooled generator and ensure the stable operation parameters of the hydrogen as the cooling medium, this paper presents a low-cost and high-performance hydrogen quality monitoring system for the hydrogen-cooled generator with ARM microprocessor as the core. The system consists of a data terminal system and a cloud monitoring platform system...
In view of the shortcoming that the traditional video monitoring device is inconvenient to move, in this paper, we take the tracked intelligent vehicle as the research object and design a mobile video monitoring system based on Android. The system collects the video information of the environment around the intelligent vehicle through the camera and then transmits the video information to the Android...
The ability to continuously detect the interesting subgraph patterns over dynamic graph-structured data in real time is crucial to many applications. Generally, the edges of such subgraphs have temporal relation. In this paper, the stream model is used to describe the dynamic graph, in which the edges are processed in chronological order. In order to reduce the intermediate results, we propose a topological...
Barrier coverage is one of the most important issues in underwater wireless sensor networks (UWSNs). In the past works, the shortest path algorithm is often employed to construct the barrier coverage. However, the computational complexity of the shortest path algorithm (Dijkstra) is high. What's more, the number of nodes constructing barrier coverage adopting Dijkstra algorithm is not small. In this...
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