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This paper proposes a sensorless chatter detection method for a ball screw drive system used in milling, by introducing the mechanical energy factor (MEF). The MEF is an indicator for detecting self-excited chatter, based on the power factor theory used in electric systems, and monitors the phase difference between dynamic cutting force and displacement. By monitoring the MEF, the self-excited chatter...
Paper proposes a kind of multiple environmental parameters monitoring system for granary that is based on ZigBee network and takes ARM controller as core. With regard to hardware, monitoring circuits for temperature, humidity, CO2 concentration and grain water content are designed. With regard to control program, fuzzy intelligent algorithm is designed and transplanted to ARM controller. The test...
IoT technology with the 4.0 revolution in industrial technology promises to change drastically in every aspect of human life. The elderly health care industry is forecasted to grow fastly, providing a more economic and effective method for health monitoring through the utilization of IoT technology. Blood oxygen saturation (SpO2), one of the vital survival parameters, is potentially used in health...
Internet of Things is a growing market. Given the keen interest wide public is showing, manufacturers keep launching new models and types each day, trying to connect the real world to Internet. However, while trying to connect everything in our life, manufacturers are facing new challenges that may impact this market growth. In this work, we tackle these challenges and how we can face them by proposing...
Waiting for service is a problem faced by people from different countries and cultures. The problem of waiting in a queue can bring losses of quality of life and even economic problems. In this paper, we propose a mechanism for automatic detection of wait events via smartphones. This detection is done cooperatively by observing data collected from the user's smartphone's wifi and accelerometer sensors,...
Monitoring of residences and businesses can be effectively performed using machine learning algorithms. As sensors and devices used for monitoring become more complex, having humans process the information to detect intrusions would be expensive and difficult to scale. We propose an automated home/business monitoring system which resides on edge servers performing online learning on streaming data...
The remote monitoring and control of machines are essential in industrial environments. Emerging communication technologies such as Web of Things and Machine to Machine Communication can meet this demand for automation in Industry 4.0. This paper aims to introduce a solution for continuous and remote monitoring of electrical quantities in smart industrial environments with three-phase systems. The...
Context-aware systems for smart environments can be very complex and demanding for developers especially in distributed computing and communication environments. We propose a new development infrastructure, that targets this challenge by improving the general system's scalability and traceability. The infrastructure has been developed for and tested in two research labs for smart environments and...
The questions connected with the use of the modern element base in the development of some types of monitoring and monitoring systems for large-scale objects are considered.
Overhead distribution lines are usually subject to voltage transients during thunderstorms. Lightning flashes, whether direct or indirect, are one of the main causes of power quality disturbances on the electric grid. In this paper, a methodology to establish a correlation between the incidence point of a lightning flash, the stroke current amplitude and polarity and its effects on the electric distribution...
Cancer related fatigue is a chronic disease that may persist up to 10 years after treatment of cancer has been finished successfully and is one of the most prevalent problems of cancer survivors. Cancer related fatigue is a complex symptom that is not sufficiently understood and difficult to remedy. Patients do not necessarily follow a treatment plan with regular in-office follow-ups. As a consequence,...
As the number of devices (things) connected to the Internet (Internet of things: IoT) is growing, achieving robust security and privacy (S&P) is becoming increasingly challenging. With the heavy use of medical things (MT), the S&P in the medical domain poses a serious issue that continues to grow. Due to the criticality and sensitivity of the data in the healthcare domain, ensuring...
Non-invasive, environmental monitoring is being successfully utilised to improve health care outcomes for patients while allowing them to more safely and comfortably live in their homes instead of health care facilities. This promises to reduce costs and ease the health care burden for many countries globally. However, these systems are still in early stages of research and only highly skilled researchers...
In the past period, great efforts have been made to develop methods for people detection based on monitoring their respiratory motion using ultra-wide band sensors (radars). The basic principle of these methods consists in the detection of signal components of raw radar data possessing a significant power in the frequency band 0.1 Hz-0.7 Hz (a frequency range of human respiratory rate) for a constant...
We have been developing a monitoring system to measure human information from human body. In the previous study, we developed a digital integrated circuit that enables acquisition of heart rate from ECG (Electrocardiogram) instead of MPU (Micro Processing Unit). This circuit reduced the power consumption of the MPU from 97 μW to 19.7 μW. In this research, we redesigned an MPU specialized for the human...
The Smart domestic protection monitoring gadget has been designed developed, examined and validated. It makes use of the RF (radio frequency) generation to monitor the reputation and security of the electrical device. The gadget has been used to store energy. The clever home is a complex era, on the equal time it is growing, the era that used in this research are Global System for virtual cellular...
High data quality and low sensing cost are two primary goals in large-scale mobile crowdsensing applications. The oversampling and the undersampling are common problems which always result in a high cost or low data quality that can not satisfy the system requirement. To address this problem, taking into account low-rank latent structure, we propose a compressive and adaptive data sampling scheme...
Recent improvements in the production of artificial single-crystal diamonds have made it possible to produce commercial radiation detectors. However, the availability of diamond detectors for high-temperature and high-shock applications is limited. We have developed a compact solid-state diamond detector for high-temperature applications which require compact size, stable performance, and extreme...
A nodes scheduling method applying for high density and large-scale WSN is put forward by using probabilistic coverage sensing model in this paper-that is the Distributed Probabilistic Coverage Sets Configuration Method (DPCS). In this method, the nodes with dense distribution are divided into several non-overlapping coverage sets by adopting distributed self-organization method. In the process of...
Aiming at the problem of sensor node deployment in underwater wireless sensor networks(UWSNs), the doublecoverage algorithm is proposed to solve the premature failure caused by excessive energy consumption. First of all, the coverage area of node is divided into grid around the mobile sensor network with AUV. Then the sensor node is analyzed to design the sensor node sensing model and the sensor node...
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