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Mechanical systems operating in noisy environments create a challenging signal processing and monitoring problem especially in real-time. To detect a particular type of subsystem from noisy vibration data, it is necessary to identify signatures or particular features that make it unique. Resonant (modal) frequencies emitted during its normal operation satisfy this constraint. Monitoring structural...
In this paper, we propose two simple and practically feasible countermeasures to address the Route Spoofing and Resource Exhaustion attacks in Software Defined Networking (SDN) scenarios. For Route Spoofing attack, we introduce a new technique called “selective blocking” which blocks an adversary node to use a genuine user's active routes, and for Resource Exhaustion attack, we propose a “periodic...
The automatic detection of anomalies in Active and Assisted Living (AAL) environments is important for monitoring the wellbeing and safety of the elderly at home. The integration of smart domotic sensors (e.g. presence detectors) and those ones equipping modern mobile robots (e.g. RGB-D cameras) provides new opportunities for addressing this challenge. In this paper, we propose a novel solution to...
We consider the problem of inferring the operational status of a reactor facility using measurements from a radiation sensor network deployed around the facility's ventilation off-gas stack. The intensity of stack emissions decays with distance, and the sensor counts or measurements are inherently random with parameters determined by the intensity at the sensor's location. We utilize the measurements...
To reduce conservative timing margin, many timing-error detection techniques by monitoring selected critical paths had been proposed. However, traditional adaptive methods incur significant area overheads and cannot prevent the error that is forming in the current clock cycle. In this paper, a low-overhead Transition-Detector (TD) with a 9-transistor current sensing circuit is proposed. TDs are inserted...
Prognostic diagnosis is desirable for commercial core router systems to ensure early failure prediction and fast error recovery. The effectiveness of prognostic diagnosis depends on whether anomalies can be accurately detected before a failure occurs. However, traditional anomaly detection techniques fail to detect “outliers” when the statistical properties of the monitored data change significantly...
Indoor localization for elderly monitoring is often performed using binary PIR sensors due to their advantages. However, elderly monitoring relies on good location resolution, and this latter requires large number of PIR sensors. To increase location resolution using few sensors, a multiplex binary structure is used, and to deal with ambiguities caused by such structure (e.g. zones sharing same code)...
Nowadays, there are many serious cyber security threats such as viruses, worms and trojans but without a doubt botnets are one of the largest threats. Although there are numerous ways to discover botnets and mitigate their effects, most methods have problems effecting detection, due to their evasive characteristics. Also, the majority of previous research uses only one data source (e.g. network traffic),...
To ensure high reliability and rapid error recovery in commercial core router systems, a health-status analyzer is essential to monitor the different features of core routers. However, traditional health analyzers need to store a large amount of historical data in order to identify health status. The storage requirement becomes prohibitively high when we attempt to carry out long-term health-status...
There are several evidence of magnetic field alterations that have been registered instants before seismic activity, in different parts of the world. Under the hypothesis that there is a relation between both phenomena, a multiple disciplinary project is being developed for verifying this statement. In this paper, a prototype for a data acquisition system is presented for obtaining valuable information...
In this paper, we present AnomalyDetect, an approach for detecting anomalies in cloud services. A cloud service consists of a set of interacting applications/processes running on one or more interconnected virtual machines. AnomalyDetect uses the Kalman Filter as the basis for predicting the states of virtual machines running cloud services. It uses the cloud service's virtual machine historical data...
Intelligent Parking System (iParking) is an O2O real-time parking operational platform. Its roadside units work with Internet of Things (IOT) concept. It can not only conduct online payment, parking guidance, parking reservation, etc. to customers but also provide precisely monitoring and convenient management for the service provider. This paper particularly aims at proposing auditors' work dispatching...
Electronic systems can cause electromagnetic interference that disrupt radio and wireless systems. This is typically unintentional interference and it has been known for about a century now. Nowadays, dedicated jamming equipment is sold openly and at low cost via Internet. This implies that intentional interference can become more common. In this paper results from a measurement campaign of the interference...
The Neutrinos Angra (ν-Angra) Experiment aims to construct an antineutrinos detection device capable of monitoring the Angra dos Reis nuclear reactor activity. The proposed system considers a detector operating on the surface, which makes it exposed to a high rate of background noise, mainly due to cosmic rays. Therefore, the veto system has a fundamental role in the experiment viability. This paper...
SCADA systems, an acronym for Supervisory Control And Data Acquisition (supervisory, Control and data acquisition), are control networks that allow the monitoring and management of industrial processes remotely. In the beginning, their top priority was the availability of information bidirectionally between the control station and the remote units; however, the growing escalation of industrial systems,...
Many games use dynamic difficulty adjustment (DDA) to promote the achievement of flow and consequent positive affective states. However, performance based DDA assume a specific ludic attitude: that of the hard-core gamer. An alternative approach is to apply affective computing techniques to monitor players adjust difficulty to achieve the desired affective state directly. Such an emotion-controlled...
This paper presents a development of a handheld device for single-channel ambulatory ECG measurements. Our ECG device is designed for easy-to-use. ECG signal will be recorded for 1 minute by placing both thumbs on two dry electrodes and we have used this device to collect ECG signals from 50 volunteers. An ECG database is created from the collected ECG signals with self-annotated locations of QRS...
Based on open-air gas-discharge counter developed pedestrian portal monitor can detect much smaller amounts of alpha-radioactive nuclides than the best of the currently used stationary radiation monitors on the basis of gamma-ray scintillation detectors.
Water leakages in pipelines and water distribution systems are the major issues in many countries. In this paper, we propose an automatic water pipeline leak detection device to continuously monitor the water pipelines to reduce manpower involvement. This device not only reduces human resource but also the time used to process collected information. Our device allows leak detection staff to remotely...
This paper presents a novel location strategy for traffic emission remote sensing system (TERSS) based on bus routes. For the purpose of reducing cost, the corresponding Hypergraph Model is established based on graph theory and the topological structure of urban road network. Then, the location problem of traffic emission remote sensing detectors is defined and transformed into finding the minimum...
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