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This paper presents the proof-of-concept investigation for a miniaturized vectorcardiogram [VCG] system for ambulatory on-body applications that continuously monitors the electrical activity of the heart in three dimensions. We investigate the minimum distance between a pair of leads in the X, Y and Z axes such that the signals are distinguishable from the noise. The target dimensions for our VCG...
Voice disorders are non-trivial when it comes to their early detection. Symptoms range from slight hoarseness to complete loss of voice, and may seriously impact personal and professional life. To date, we are still largely missing reliable data to help us better understand and screen voice pathologies. In this paper, we present an ambulatory voice monitoring system using surface electromyography...
This paper is concerned with the problem of event-triggered distributed H∞ filtering for a class of networked systems with sensor networks. First, an event-triggered scheme is introduced to select those necessary data packets to be transmitted for filter design. As a result, communication and energy resources can be significantly saved while some certain system performance can be preserved. Second,...
The challenge faced in teaching Linear Algebra at the Faculty of Computer Science Universitas Indonesia is students are forced to accommodate their past understanding about vector with the new knowledge. Our past experiences show that self-monitoring and knowledge-sharing with other students are two effective strategies for enabling students' accommodation process. An approach proposed in the current...
In this paper, a low-complexity and high-efficiency scheme is developed for frame rate up conversion (FRUC). Texture based adaptive motion estimation is carried out for improving the accuracy of motion vectors. In addition, the proposed scheme comprises a motion vector post-processing method which corrects the outliers in nine directions. Moreover, in order to deal with the artifacts caused by the...
Nowadays cloud computing is growing vastly as the number of companies are depending mostly on this technology due to its advantages. All the data are stored across the globe and maintained by the cloud service providers i.e., the responsibility of the data is in the hands of cloud providers. The data breach is a biggest problem in cloud as the data are shared across the globe and sensitive information...
Exploiting wind currents in the environment allows autonomous gliders to gain altitude and energy and consequently extend flight duration. This paper considers the problem of a persistent monitoring mission using multiple autonomous gliders and exploiting thermal soaring. Communications constraints and non-homogeneous teams of gliders are considered. A distributed method based on coordination variables...
The use of mobile devices such as smartphones is becoming very widespread, and the variety of usage patterns is increasing. Consequently, the factors that affect the end-to-end quality of service (QoS) of mobile communications are becoming much more diverse. These factors are not only due to the wireless communication environment but also to other attributes of mobile communications such as the type...
Condition monitoring and data analysis are key factors to avoid unexpected catastrophic breakdowns and detect incipient failures. Managing of these processes are not easy in complex system which has many inputs/outputs and interdependent relationships. In conventional methods, the condition monitoring is carried out separately and systematically due to the large number of monitoring point. This paper...
Multicore systems present on-board memory hierarchies and communication networks that influence their performance when they execute shared memory parallel codes. Characterizing this influence is complex, and understanding the effect of particular hardware configurations on different codes is of paramount importance. In this paper, monitoring information extracted from hardware counters in runtime...
This paper deals with monitoring and diagnosis of stator windings damages in vector-controlled induction motor (IM) drive. The article proposes a simple method of shorted turns detection using only virtual control and decoupling signals from the classical Direct Field Oriented Control (DFOC) method. The diagnosis of the stator windings faults is based on the analysis of twice the fundamental frequency...
Botnets have become one of the major tools used by attackers to perform various malicious activities on the Internet, such as launching distributed denial of service attacks, sending spam, leaking personal information, and so on. In this paper, we present BotCatch, a behavior-based botnet detection system that considers multiple coordinated group activities in the monitored network to identify bot-infected...
The number of malicious applications (apps) targeting the Android system has exploded in recent years. The evolution of malware makes it difficult to detect for static analysis tools. Various behavior-based malware detection techniques to mitigate this problem have been proposed. The drawbacks of the existing approaches are: the behavior features extracted from a single source lead to the low detection...
The goal of this analysis is the separation of artificial sound from the ambient or background soundscape in real-time via singular value decomposition of a 3×3 covariance matrix obtained from the set of vector measurements sourced from a particle velocity sensor. The summary noise power is then computed for each octave band, and this is used to detect the presence of artificial, polluting sound sources.
Measuring activity in the operating theatre is a difficult but important task. Using ultra wideband active RFID tags (UWB) we were able to track an anesthetist and anesthetic technician during a simulated operation. A number of parameters were calculated including gaze direction, distance travelled and separation were calculated. Some characteristic movements were identified, including head and torso...
This article describes technology for diagnosis SoC HDL-models, based on Code-Flow Transaction Graph. Diagnosis method is focused to decrease the time of fault detection and memory for storage of diagnosis matrix by means of forming ternary relations between test, monitor, and functional component. The following problems are solved: creation of digital system model in the form of transaction graph...
In current cloud systems, services run across multiple geographically distributed clusters and continuously generate resource usage data due to constant resource consumption. In the context of accounting, resource usage data generated from each cluster during service runtime must be collected and aggregated into a single cloud-wide record so that a single bill can be created. This paper presents a...
This paper presents an algorithm for the objective assessment of the motion of a body during health-evaluation physical tests using our inertial sensor, namely the ActimedARM. With the orientation quaternions provided by the sensor and integrating twice the calibrated acceleration measurements, we are able to compute the displacement of the sensor worn by a patient. To validate our data we have made...
Thin-walled parts are easy to deform during the machining process. The machining conditions of such parts are difficult to monitor since both tool wear and work-piece deformation need to be carefully monitored. Usually, the characteristic vector constructed based on monitoring signals can be deemed as the basis to recognize different machining conditions. In order to construct the characteristic vector,...
Understanding the states of learners at a lecture is useful for improving the quality of the lecture. A video camera with an infrared sensor Kinect has been widely studied and proved to be useful for some kinds of activity recognition. However, learners in a lecture usually do not act with large moving. This paper evaluates Kinect for use of activity recognition of learners. The authors considered...
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