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The efficient detection of Korotkoff sounds
Medical & Biological Engineering, 1968A new method is described for detecting the Korotkoff sounds which signal systolic and diastolic blood pressure. By mounting a sound transducer wholly within the conventional arm-encircling cuff, high intensity sounds can be detected with the cuff placed in any location on the upper arm.
L A, Geddes, A G, Moore
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Energy efficiency of multiuser detection
WCNC. 1999 IEEE Wireless Communications and Networking Conference (Cat. No.99TH8466), 2003We study the power consumption of several multiuser detectors in the power controlled DS-CDMA system. The matched-filter detector, linear MMSE detector, successive interference cancellation (SIC), and LMMSE-SIC are considered. Closed form analysis and numerical results show that by using a multiuser detector, system power consumption can significantly ...
Wei Luo, Anthony Ephremides
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An efficient network intrusion detection
Computer Communications, 2010Exploit code based on system vulnerability is often used by attacker. Such exploit program often sends attack packets in the first few packets. A Lightweight Network Intrusion Detection system (LNID) is proposed for detecting such attacks on Telnet traffic. It characterizes normal traffic behavior and computes the anomaly score of a packet based on the
Chia-Mei Chen +2 more
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Signal Processing, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yanwei Pang +3 more
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yanwei Pang +3 more
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Efficient order dependency detection
The VLDB Journal, 2015Order dependencies (ODs) describe a relationship of order between lists of attributes in a relational table. ODs can help to understand the semantics of datasets and the applications producing them. They have applications in the field of query optimization by suggesting query rewrites.
Philipp Langer, Felix Naumann
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Efficient Detection of Network Motifs
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2006Motifs in a given network are small connected subnetworks that occur in significantly higher frequencies than would be expected in random networks. They have recently gathered much attention as a concept to uncover structural design principles of complex networks. Kashtan et al.
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Efficient Event Detection for the Blogosphere
2014 IEEE Fourth International Conference on Big Data and Cloud Computing, 2014In this paper we come up with a novel approach for the early detection of events in blog entries. The detection of trend is already discussed pretty often. Nevertheless, in our understanding the detection of events goes one step further. The presented algorithms detects unique happenings at a given point in time by perceiving unusual frequent ...
Patrick Hennig +4 more
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Hardware-Efficient Seizure Detection
2019 53rd Asilomar Conference on Signals, Systems, and Computers, 2019Hardware-efficient classification is essential for applications such as medical implants, wearables, and IoT devices, with severe energy and resources constraints. Here, we propose a hardware-efficient machine learning algorithm based on gradient boosted decision trees.
Bingzhao Zhu, Mahsa Shoaran
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An efficient approach to smile detection
Face and Gesture 2011, 2011Smile detection in real-life face images is an interesting problem with many potential applications. This paper presents an efficient approach to smile detection for face images captured in real-world unconstrained scenarios. In our approach, the pixel intensities in the gray-scale face image are compared, and the intensity differences are used as ...
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Efficient Algorithms for Intrusion Detection
2004Detecting user to root attacks is an important intrusion detection task This paper uses a mix of spectrum kernels and probabilistic suffix trees as a possible solution for detecting such intrusions efficiently Experimental results on two real world datasets show that the proposed approach outperforms the state of the art Fisher kernel based methods in ...
Niranjan K. Boora +2 more
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