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Herein is proposed a novel high-steep rock slope landslide monitoring system based on the configuration of multi-static multiple-input multiple-output synthetic aperture radar (MIMO-SAR). In this system, three spastically distributed radars are employed. Each is a Ku-band MIMO-SAR, transmitting mutually orthogonal waveforms and sensing the slope movement from different view angles. The three radars...
In this contribution, a Direction Finding (DF) compact array made of electrically small double-polarized passive radiating element in the 100MHz–1GHz frequency band is presented, and the preliminary results discussed. This solution is devised for the low band (VHF / UHF) subsystem of an airborne ELINT system installed by Elettronica S.p.A. on two SIGINT aircrafts. The main driving factors of the design...
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...
Pressure ulcers, commonly called bedsores, are defined as injuries to the skin and underlying tissue resulting from prolonged pressure usually on bony areas of the body, such as heels and hips. In order to alleviate pressure accumulation at high-risk regions, the current practice in clinics requires caregivers to reposition their patients every two hours. This relies on the engagement of nursing services...
Fusion of ambient breathing signals can be hampered by the current environmental conditions. Fusion methods that are resistant to most adverse ambient conditions may still be susceptible to some. The diversity of multiple fusion methods can be leveraged by employing a variety of fusion methods to fuse each breathing epoch. By using a trained linear classifier to select the best candidate fusion method...
Doppler-based non-contact vital signs (NCVS) sensor systems can monitor the heart and respiration rates without touching the patient, but the accuracy of the NCVS sensing can be degraded considerably by background clutters and movements artifacts from the monitored subject or other motions in the measurement environment. We have, therefore, developed a high directivity phased-array antenna NCVS system...
Doppler-based non-contact vital signs (NCVS) sensor systems have the ability to monitor heart and respiration rates of patients without physically contacting them. Because the accuracy of a NCVS sensor can deteriorate rapidly with distance when in a noisy or cluttered environment, we developed a highly directive phased-array antenna NCVS system capable of increasing the accuracy and the monitoring...
Tactical Mobile Ad Hoc Network (MANET) demands a robust, diverse, and resilient protected communication and computing environment enabling network-centric operation with minimal downtime. Nevertheless, the nature of MANET causes security risks because mobile nodes are deployed in the open field and wireless communication makes the information accessible by anyone. Conducting cyber attack monitoring...
Continuous glucose monitoring systems are an integral component of diabetes management. Efforts to improve the accuracy and robustness of these systems are at the forefront of diabetes research. Towards this goal, a multi-sensor approach was evaluated in hospitalized patients. In this paper, we report on a multi-sensor fusion algorithm to combine glucose sensor measurements in a retrospective fashion...
With the global population expansion and rapid economic development, water resources have become the focus of attention, but there are no high precision and exist higher costs problem in domestic monitoring of open channel flow of river water in a long time. This research mainly studied beam of ultrasound sonar river section scanning technology, and applied to independent research and development...
We present a new virtual indexing method for estimating host connection degrees for high speed links. It is based on the virtual connection degree sketch where a compact sketch of network traffic is built by generating the associated virtual bitmaps for each host. Each virtual bitmap consists of a fixed number of bits selected randomly from a shared bit array by a new method for recording the traffic...
Anomaly-based Intrusion Prevention Systems have been studied to prevent zero-day attacks. However these existing systems can't prevent mimicry attacks because of the inadequacy of monitoring accuracy. Moreover, they provide no continuity for monitored applications when they have been compromised. In this paper, we propose a novel Intrusion Prevention System named Belem that detects anomaly states...
This paper proposes a new BP artificial neural network algorithm that predicts flood level in rivers, lakes and reservoirs. Since a neural network can approach to a nonlinear function with high accuracy, we may use it to predict the flood level, which changes with complicated nonlinear mode. The algorithm is a kind of learning one, which learns with a teacher and under supervision. In process of learning,...
Locating hosts with large connection degree is very important for monitoring anomalous network traffics. The in-degree (out-degree), defined as the number of distinct sources (destinations) that a network host is connected with (connects) during a given time interval. Due to massive amount of data in high speed network traffics and limit on processing capability, it is difficult to accurately locate...
A rehabilitation training system based on multi-parameters status monitoring and information fusion is discussed in this paper. The signal processing system is built with MSJP430 series MCU. Soft judgment is carried out based on all kind of information from the force on driving wheel, the speed of driving motor, the stress of patient's sit gesture from sensor array. Specific observation domain is...
We present a novel approach for the on-line detection of complex events in wireless sensor networks. Complex events are sets of data points that correspond to unusual patterns that can not be detected using threshold-based techniques. Our method uses an efficient implementation of SAX, a mature data mining algorithm, that transforms a stream of readings into a symbolic representation. Complex event...
Connectivity monitoring is useful in practical deployment of wireless sensor network. In order to understand the behavior and performance bottleneck, knowledge of the network connectivity is crucial. In this paper, we propose a flexible and efficient connectivity monitoring algorithm (H2CM) that has three components and operates in a divide and conquer manner. The components include hop vector distance...
Software-based self-test (SBST) is increasingly used for testing processor cores embedded in SoCs, mainly because it allows at-speed, low-cost testing, while requiring limited (if any) hardware modifications to the original design. However, the method requires effective techniques for generating suitable test programs and for monitoring the results. In the case of processor core testing, a particularly...
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