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In this study, we use wearable devices to monitor the health and physiological indicators of the elderly, and analyze the effects of the elderly's walking steps and sleep as the measurable health and physiological indexes. Eighteen cases of the elderly who received health management services are selected. We establish the generalized linear mixed model, and Pearson correlation analysis result shows...
The purpose of this study is to determine the sleep status of college students. 12 volunteers(mean ± SE: 22 ± 2 yr, 170 ± 10cm, 61 ± 16 kg) take part in the research. The sleep situation are got by the waistband sleep monitor system. The average heart rate of the whole night, the average breath rate of the whole night, bed time, get up time, onset latency, total sleep time are monitored. These important...
Network Function Virtualization is an emerging paradigm to allow the creation, at software level, of complex network services by composing simpler ones. However, this paradigm shift exposes network services to faults and bottlenecks in the complex software virtualization infrastructure they rely on. Thus, NFV services require effective anomaly detection systems to detect the occurrence of network...
Communication skills are an integral part of the development of undergraduate students as emerging professionals in rapidly changing, multi-disciplinary engineering fields. However, many engineering educators and industry employers continue to express concerns about the quality of these skills in engineering graduates. Many universities and institutions have enhanced engineering education curriculum,...
Adaptive learning is a promising approach to education, in which instructional methods and materials are selected according to the performance of students. In this manner, the learning process can be tailored to the needs and strengths of students in order to maximize efficiency. Advances in internet technology and portable devices has led to the development of e-learning platforms outside the traditional...
This study aimed to compare two off-the-shelf sleep tracking devices, Fitbit (wearable fitness wristband) and Neuroon (wearable EEG eye mask), for measuring sleep under free living conditions. Taking the measurements of a clinical sleep monitor as the ground truth, we compared the measurements of Fitbit and Neuroon on total sleep time (TST), wake after sleep onset (WASO), the number of awakenings...
TrapFetch is trained by monitoring the read requests issued by an application. It detects bursts of disk reads, determines the appropriate addresses at which breakpoints should be inserted in the application and library codes prior to the bursts of reads, and then logs this information with the data requested during the interval between each consecutive pair of breakpoints. When the application and...
The scale of the modern city has been expanding, which leads to a lot of serious environmental pollution problems. Among them, the air pollution problem is the most prominent. In order to control the air pollution in urban cities, the government has deployed a lot of air pollutant monitoring equipment which produce massive multi-dimensional time series data. Through the motif discovery and analysis...
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...
Since smart phones are equipped with built-in accelerometers they can be used for self-monitoring of physical activity which is an important health behavior and predictor of functioning, especially in older adults. The objective of this study is to investigate the validity of a smart phone-based activity monitoring application in adults aged below and above 65 years old. Ten adults aged below 65 years...
Long monitoring tasks without regular actions, are becoming increasingly common from aircraft pilots to train conductors as these systems grow more automated. These task contexts are challenging for the human operator because they require inputs at irregular and highly interspaced moments even though these actions are often critical. It has been shown that such conditions lead to divided and distracted...
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...
As technology evolves, the Internet of Things (IoT) is gaining more importance for constituting a foundation to reach better connectivity between people and things. For this to happen, certain strategies and processes are considered to enhance and grant optimal interoperability between the heterogenous devices of a typical IoT network. Two major key aspects of these networks are autonomous error recovery...
Clustering is a popular method to deal with the problem for mode identification of multimode processes. Unlike traditional distance-based clustering methods, in this paper, a new correlation-based bi-partition hierarchical clustering (CBHC) method is proposed, which classifies the observations according to their correlation relationships rather than their distances. Motivated by an existing correlation-based...
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...
PLS is widely used in the quality control process system, but it has poor capability in some strong local nonlinear system for fault diagnosis. To enhance the monitoring ability of such type fault, a novel statistical model based on global plus local projection to latent structures (GPLPLS) is proposed. Firstly, the characteristics and nature of quality-related global and local partial least squares...
Available sensing measurements in modern industrial process include two significant characteristics: distribution and autocorrelation. Different types of sensing measurements exhibit different characteristics. Moreover, different feature extraction methods are suitable for data with corresponding characteristics. This paper proposes a novel dual-step subspace partition method in order to establish...
A low-complexity algorithm is presented that clusters sensor nodes based on similarity in the sensed signals. This feature makes it an enabler for distributed detection of events that are impossible to identify using information available to a single node. The algorithm does not require system training prior to deployment nor does it assume statistical knowledge of the signal. Experimental results...
Respiratory rate during sleep is one of the important vital sign for home healthcare. Therefore, noncontact respiration monitoring method during sleep without uncomfortable feelings caused by sensor-insertion is needed. The purpose of this study is to develop the noncontact respiration monitoring method during sleep using only low priced web-camera. The innovative point is to adopt the bed cover with...
Today, The cloud industry is adopting the container technology both for internal usage and as commercial offering. The use of containers as base technology for large-scale systems opens many challenges in the area of resource management at run-time. This paper addresses the problem of selecting the more appropriate performance metrics to activate auto-scaling actions. Specifically, we investigate...
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