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检索条件"主题词=Detection algorithms"

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Atrial fibrillation detection algorithms for very long term ECG monitoring

Atrial fibrillation detection algorithms for very long term ...

引用

Computers in Cardiology (CinC)

作者： E. Petrucci V. Balian G. Filippini L.T. Mainardi Ospedale di Busto UnitàCoronarica Busto Arsizio Italy Dipartimento di Bioingegneria Politecnico di milano Milan Italy

In this paper, we describe two algorithms suitable for the detection of Atrial Fibrillation episodes in very long terms (weeks) ECG monitoring, were the need of onboard implementation requires the development of reliable but simple and easy-to-implement methods. The proposed algorithms are based on the extraction of simple geometric features from the histogram of RR prematurity and delta RR. On the MIT Atrial fibrillation database, the RR prematurity algorithm provides the following performances: episodes sensitivity (S) 91%, episode positive Predictivity (P+) 92%, duration S 93%, duration P+ 97%. For the delta-RR algorithm the results were: episodes S 92%, episode P+ 78%, duration S 89%, duration P+ 90%

关键词： Atrial fibrillation detection algorithms Electrocardiography Monitoring Signal processing algorithms Histograms Spatial databases Detectors Neural networks Testing

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Search sequence determination for tree search based detection algorithms

Search sequence determination for tree search based detectio...

引用

IEEE Princeton Section Sarnoff Symposium

作者： Bjorn Mennenga Gerhard Fettweis Vodafone Chair Mobile Communication Systems Technische Universität Dresden Dresden Germany

Tree search based detection algorithms provide a promising approach to solve the detection problems in MIMO systems. Depth-first, Breadth-first or Metric-first search strategies provide near max-log detection at reduced but still significant complexity. In this paper we show how the incurred complexity can be reduced substantially. In order to reduce the number of metric calculations to a minimum, we propose a novel relative determination of search sequences for QAM constellations, usable inexpensively independent of the underlying constellation size and search strategy and moreover also usable for soft-in soft-out detection. Based on its application to a sphere detector, we will demonstrate the impact on complexity and performance of the detection as well as on the detector structure. Building on the results, we propose refinements of the resulting detector providing a very good performance at minimized complexity, making the resulting detector particularly favorable for implementation.

关键词： detection algorithms Detectors MIMO Mobile communication Quadrature amplitude modulation Buildings Concurrent computing Sorting Degradation Hardware

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Functional safety aspects of pattern detection algorithms

Functional safety aspects of pattern detection algorithms

引用

IEEE International Conference on Automation Science and Engineering (CASE)

作者： Joachim Iden Christian Penaloza Functional Safety Section within the Industrial Services Department TUV Rheinland Japan Limited Osaka Japan

Pattern detection algorithms may be used as part of safety-relevant processes employed by industrial systems. Current approaches to functional safety mainly focus on random faults in hardware and the avoidance of systematic faults in both software and hardware. In this paper we build on the concepts of the international standard for functional safety IEC 61508 to extend safety-relevant notions to numerical and logical processes (algorithms) employed in pattern detection systems. In particular, we target the uncertainty pertaining to face detection systems where incorrect detection affects the overall system performance. We discuss a dual channel system that comprises two of the most commonly used and widely available face detection algorithms, Viola-Jones and Kienzle et al. We present a method for deriving the probability of failure in demand (PFD) from the combination of these two channels using both: 1oo2 and 2oo2 voting schemes. Finally, we compare experimental results from both the perspectives of availability and safety, and present conclusions with respect to the appropriate choice of information combination schemes and system architectures.

关键词： Safety Hardware Software Phase frequency detector Face Training detection algorithms

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A pupil center detection algorithms for partially-covered eye image

A pupil center detection algorithms for partially-covered ey...

引用

IEEE Region 10 International Conference TENCON

作者： J.M. Cho S.J. Lee J.K. Kirn H.H. Choi O.S. Kwon J.W. Kwon Department of Biomedical Eng Inje Univ Korea Dept. of Biomedical Eng. Inje Univ. Kyungnahm South Korea Dept. of Early Childhood Education Inje University Korea Department of Computer Engineering Tongmyong University of Information and Technology Korea

This study focuses on development of the algorithms that can be applied in video-oculograph method to find a center of a pupil area in captured eye image, "where the pupil area is partially covered by eyelashes and eyelids. The eye image captured by monochrome charge-coupled device camera and frame grabber has spatial resolution of 640 pixels by 480 pixels and 8-bit gray levels per pixel. We assumed that the pupil area in the captured eye image was a perfect circle. The center of pupil area could be obtained by applying the proposed algorithms for thresholding of captured gray-scale image, size filtering and noise removing techniques even though the pupil area was partially covered by eyelashes and eyelids.

关键词： detection algorithms Pixel Histograms Eyelashes Eyelids Charge-coupled image sensors Spatial resolution Filtering Optical reflection Image processing

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A Comparative Study on Deepfake detection algorithms

A Comparative Study on Deepfake Detection Algorithms

引用

Advances in Computing, Communication Control and Networking (ICAC3N), International Conference on

作者： Anukriti Kaushal Sanchit Singh Shashank Negi Shikhar Chhaukar Department of Computer Engineering Delhi Technological University Delhi India

In recent years, the number of images and videos shared online increased and people have easy ways to access such content. “DeepFake” refers to any multimedia content created using deep learning technology in order to make it appear realistic. The creation of deepfake videos and images using deep learning techniques leads to very realistic “DeepFake” videos and images by changing the digital content of images and videos. Deepfake is widely recognized as one of artificial intelligence’s most dangerous uses. Deepfake makes it possible to place a person in a totally imaginary situation since it is used to imitate an activity that the person did not perform. Deepfakes have been becoming increasingly dangerous to democracy, society’s security and people’s privacy. The distribution of such deepfake content on various platforms urged the international community to revaluate the threat to social security posed by such content. It encouraged the researchers around the world to develop effective deepfake detection methods. In this paper we have discussed such approaches of deepfake detection in videos and images that are available in recent studies and have provided comparative review of research on deepfake detection algorithms. It also compares the different detection techniques and examines their limitations and advantages.

关键词： Deep learning Deepfakes Privacy Streaming media Security detection algorithms

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A survey on unsupervised change detection algorithms

A survey on unsupervised change detection algorithms

引用

International Conference on Circuit, Power and Computing Technologies (ICCPCT)

作者： K. Venkateswaran N. Kasthuri C. Arathy V. Haran D. Dorin Jeni Department of ECE Kongu Engineering College Erode Tamil Nadu India Dept. of ECE Kongu Eng. Coll. Erode India

The great presumption of change detection has led to rapid development of diverse change detection algorithms. Unsupervised change detection has a vital role in a wide variety of applications like remote sensing, motion detection, environmental monitoring, medical diagnosis, damage assessment, agricultural surveys, surveillance etc. In this paper a systematic survey of the commonly used methodologies for unsupervised change detection is presented.

关键词： Image segmentation Change detection algorithms detection algorithms Systematics Feature extraction Statistical distributions

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Comparison of background extraction based intrusion detection algorithms

Comparison of background extraction based intrusion detectio...

引用

IEEE International Conference on Image Processing

作者： A. Makarov Signal Processing Laboratory Swiss Federal Institute of Technology Lausanne Switzerland

Several pelwise motion detectors are reviewed in this paper. They are compared in the context of intrusion detection in indoor scenes. The presented motion detection algorithms are based on a pelwise detection of changes in the observed input frame with respect to a recursively updated background. The same global decision module is applied to the outputs of the respective pelwise change detectors. The overall performance is shown to depend on the type of the pelwise temporal filter, and on the image features applied to it.

关键词： Intrusion detection Motion detection Signal processing algorithms Filters Detectors Change detection algorithms Layout Object detection Counting circuits detection algorithms

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Efficiency and performance in coherent detection algorithms for synthetic aperture radiometry

Efficiency and performance in coherent detection algorithms ...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： J.W. Johnson W.M. Munden R.W. Lawrence NASA Langley Research Center NASA Langley Research Center and FDCNYMA Inc. Hampton VA USA

Synthetic aperture interferometric radiometers require phase coherent detection to allow the visibility function to be measured and subsequently converted to brightness temperature images. Products of signals between channels produce the complex "visibility" terms of the spatial spectrum of the brightness temperature scene. Today's technology offers the choice of either analog or digital detection methods for relatively low microwave frequencies. Digital detection may offer advantages, particularly in certain instrument configurations. This paper reviews the results of an evaluation of a particular digital method and a variety of FIR filter designs. A programmable, real time processor was developed to study various Hilbert Transform algorithms for digitally forming the in-phase (I) and quadrature (Q) components of the received signals. An overview of the test set-up and test results using several FIR filters is presented, allowing a trade between numerical simplicity and the gain and phase balance between I and Q.

关键词： detection algorithms Brightness temperature Finite impulse response filter Testing Radiometers Phase detection Phase measurement Image converters Layout Microwave technology

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Application of anomaly detection algorithms for detecting SYN flooding attacks

Application of anomaly detection algorithms for detecting SY...

引用

IEEE Conference and Exhibition on Global Telecommunications (GLOBECOM)

作者： V.A. Siris F. Papagalou Institute of Computer Science Foundation for Research and Technology Hellas Crete Greece

We investigate statistical anomaly detection algorithms for detecting SYN flooding, which is the most common type of denial of service (DoS) attack. The two algorithms considered are an adaptive threshold algorithm and a particular application of the cumulative sum (CUSUM) algorithm for change point detection. The performance is investigated in terms of the detection probability, the false alarm ratio, and the detection delay. Particular emphasis is on investigating the tradeoffs among these metrics and how they are affected by the parameters of the algorithm and the characteristics of the attacks. Such an investigation can provide guidelines to effectively tune the parameters of the detection algorithm to achieve specific performance requirements in terms of the above metrics.

关键词： detection algorithms Floods Computer crime Change detection algorithms Computer science Delay TCPIP Application software Guidelines Web and internet services

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Application of Community detection algorithms on Social Internet-of-things Networks

Application of Community Detection Algorithms on Social Inte...

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International Conference on Microelectronics, ICM

作者： Abdullah Khanfor Hakim Ghazzai Ye Yang Yehia Massoud School of Systems & Enterprises Stevens Institute of Technology Hoboken NJ USA

ISBN: (数字)9781728140582

ISBN: (纸本)9781728140599

The Internet-of-things (IoT) networks are witnessing a drastic increase over the years. Twenty billion devices connected to the Internet are expected in 2022. The need for identifying communities within such networks can serve as a strong complexity reduction mean for many discovery and identification services. The idea of communities in IoT networks is also motivated by the emerging concept of socializing IoT devices. In this paper, we investigate the application of two community detection algorithms, namely Louvain and Bron-Kerbosch algorithms, on IoT networks usually represented by large-scale graphs. The objective is to convert the complex IoT network into multiple overlapping and non-overlapping communities where its elements share common characteristics. Starting from a real-world IoT networks, we use its dataset to extract community-structured IoT network based on different types of relationships such as co-location, owner social relationships, and autonomously build object relationships among objects. Our analysis showcases how community detection algorithms structure the IoT network into communities based on the different relationships established between objects.

关键词： detection algorithms Sensors Complexity theory Internet Smart phones Quality of service Quality of experience

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