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Low cost pervasive electrocardiogram (ECG) monitors is changing how sinus arrhythmia are diagnosed among patients with mild symptoms. With the large amount of data generated from long-term monitoring, come new data science and analytical challenges. Although traditional rule-based detection algorithms still work on relatively short clinical quality ECG, they are not optimal for pervasive signals collected...
This paper presents the key concepts, system architecture, implementation details, and performance of an accelerometer-equipped bottle for monitoring and tracking liquid intake. The key system component is an elastic band, equipped with sensor and other electronics, which can be attached to a regular water bottle in order to track the bottle's usage movements. The software running on the band captures...
We asset about the analysis of electrical appliance consumption signatures for the identification task. We apply Hidden Markov Models to appliance signatures for the identification of their category and of the most probable sequence of states. The electrical signatures are measured at low frequency (10−1 Hz) and are sourced from a specific database. We follow two predefined protocols for providing...
Many office workers today sit and work at computers for extended periods of time, which can result in a group of symptoms called “Office Workers Syndrome”. To help prevent these symptoms, we propose a novel system to monitor computer users by using a Kinect camera. Firstly, data mining classification is applied for detection of prolonged sitting, while mathematics that include a spherical coordinate...
Website response time is one of the most important performance parameter of website. It can be used to assess website performance to forecast the status of website. Large amounts of data are applied by a distributed monitoring system that monitoring a university website response time. Support vector machine with information granulation is studied to predict the response time. It can predict accurately...
Degradation of networking quality is a serious problem for service providers (e.g., on-demand video subscription service) since it causes customer defection in their services and results in a decline of their sales. Insufficient path capacity is one of the typical causes which degrade networking quality. Especially, the recent technical trend to shift virtualized network, in which the network is dynamically...
Aiming at the background subtraction method is influenced liable to ray transformation, a new method of moving target recognition under static background is advanced. Background subtraction has been used for moving target detection in the paper, and the background selection updating method is approved. The background is updated by real-time updating and replacement mode so that the adaptability of...
The ADS-B position of an aircraft is generated by the aircraft itself, as opposed to e.g. the radar or MLAT position, and then broadcasted and transmitted to a tracking system via network. The intention of this paper is to discuss the necessary security mechanisms and to propose specific algorithms to safely deal with this type of position information. Furthermore, it summarizes the current implementation...
In order to reduce the cost and acquire the microsecond-level time synchronization, this paper has proposed the DF-NTP (Double filter NTP) and analyzed the algorithm of NTP (network time protocol) and the causes of synchronization error. The precision of time synchronization can be raised through filtrating the delay in the forward-backward path and reducing the influence of uncertain delay. The experimental...
A transient power quality assessment method is proposed in this paper, using Naive Bayes classification method which is based on big data processing architecture, in this architecture, data sources will be extended to the aspects of power grid monitoring data, the power customer data and the public data, and the assessment severity will be classified into the normal state, the abnormal state, the...
Opportunistic networks (OppNets) are an interesting topic that are seen to have a promising future. Many protocols have been developed to accommodate the features of OppNets such as frequent partitions, long delays, and no end-to-end path between the source and destination nodes. Embedding security into these protocols is challenging and has taken a lot of attention in research. One of the attacks...
We propose a fast and simple monitoring system based on multi-wavelength bi-directional transmission reflection analysis approach for long-reach passive optical networks. Both experimental and simulation results have demonstrated the proposed system can reach high accuracy for fault localization.
The purpose of this research is to develop a four-channel underwater passive acoustic monitoring system for the use of underwater vehicles. Humans have received abundant blessings of the ocean, and thus it is very important to recognise marine biodiversity and to maintain sound ocean ecosystems for the sustainable utilisation of the ecosystem services. Final goal of this research is to realise a long-term...
This paper presents and innovative technique-referred to as trend-weighted rule-based expert system (TWRBES) — grounded in the integration of two existing tools of the artificial intelligence field, expert systems (ES) and qualitative trend analysis (QTA). The main goal of this approach is to benefit of the main advantages associated with each of the techniques used, such as the ability to represent...
Nowadays, aging society is a big problem and demand for monitoring systems is becoming higher. Under this circumstance, a fall is a main factor of accidents at home. From this point of view, we need to detect falls expeditiously and correctly. However, usual methods like using a video camera or a wearable device have some issues in privacy and convenience. In this paper, we propose a system of fall...
Mobile wearable sensors have demonstrated great potential in a broad range of applications in healthcare and wellness. These technologies are known for their potential to revolutionize the way next generation medical services are supplied and consumed by providing more effective interventions, improving health outcomes, and substantially reducing healthcare costs. Despite these potentials, utilization...
The use of wearable sensors coupled with the processing power of mobile phones may be an attractive way to provide real-time feedback about physical activity and energy expenditure (EE). Here we describe use of a shoe-based wearable sensor system (SmartShoe) with a mobile phone for real-time prediction and display of time spent in various postures/physical activities and the resulting EE. To deal...
Steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) have potential to realize high-speed communication between the human brain and the external environment. Recently, multiple access (MA) methods in telecommunications have been introduced into the system design of BCIs and showed their potential in improving BCI performance. This study investigated the feasibility of...
Wearable monitoring of heart rate (HR) during physical activity and exercising allows real time control of exercise intensity and training effect. Recently, technologies based on pulse plethysmography (PPG) have become available for personal health management for consumers. However, the accuracy of these monitors is poorly known which limits their application. In this study, we evaluated accuracy...
Fetal Heart Rate (FHR) monitoring represents a powerful tool for checking the arousal of pathological fetal conditions during pregnancy. This paper proposes a multivariate approach for the discrimination of Normal and Intra Uterine Growth Restricted (IUGR) fetuses based on a small set of parameters computed on the FHR signal. We collected FHR recordings in a population of 120 fetuses (60 normals and...
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