An Automatic Spike Detection System Based on Elimination of False Positives Using the Large-Area Context in the Scalp EEG

2011 ◽  
Vol 58 (9) ◽  
pp. 2478-2488 ◽  
Author(s):  
Zhanfeng Ji ◽  
T. Sugi ◽  
S. Goto ◽  
Xingyu Wang ◽  
A. Ikeda ◽  
...  
Keyword(s):  
Detection System ◽  
False Positives ◽  
Spike Detection ◽  
Large Area ◽  
Scalp Eeg

The Study of the Ontology and Context Verification Based Intrusion Detection Model

2014 ◽  
Vol 644-650 ◽  
pp. 3338-3341 ◽  
Author(s):  
Guang Feng Guo
Keyword(s):  
Intrusion Detection ◽  
Knowledge Base ◽  
False Positive ◽  
Intrusion Detection System ◽  
Detection System ◽  
False Positive Rate ◽  
False Positives ◽  
The Real ◽  
Detection Model ◽  
Positive Rate

During the 30-year development of the Intrusion Detection System, the problems such as the high false-positive rate have always plagued the users. Therefore, the ontology and context verification based intrusion detection model (OCVIDM) was put forward to connect the description of attack’s signatures and context effectively. The OCVIDM established the knowledge base of the intrusion detection ontology that was regarded as the center of efficient filtering platform of the false alerts to realize the automatic validation of the alarm and self-acting judgment of the real attacks, so as to achieve the goal of filtering the non-relevant positives alerts and reduce false positives.

scholarly journals Signal regularity-based automated seizure detection system for scalp EEG monitoring

2010 ◽  
Vol 46 (6) ◽  
pp. 922-935 ◽  
Author(s):  
Deng-Shan Shiau ◽  
J. J. Halford ◽  
K. M. Kelly ◽  
R. T. Kern ◽  
M. Inman ◽  
...  
Keyword(s):  
Detection System ◽  
Seizure Detection ◽  
Eeg Monitoring ◽  
Scalp Eeg

REGULATION OF FACTOR V (FV) EXPRESSION IN HUMAN MEGAKARYOCYTES

1987 ◽  
Author(s):  
A Gewirtz ◽  
C L shepiro ◽  
R Bovd ◽  
R W Colman
Keyword(s):  
Cell Size ◽  
Detection System ◽  
Correlation Coefficients ◽  
Coefficient Of Determination ◽  
Maturation Stage ◽  
Factor V ◽  
Large Area ◽  
Dna Quantitation ◽  
Tetradecanoyl Phorbol Acetate

We have suggested that synthesis of FY by human megakaryocytes (MEGS), is a maturation relrted event. This is based on our finding that when MEGS are cloned from progenitor cells in vitro in FY depleted medium, FY is immunochemically detectable only in morphologically recognizable (mature) cells (Blood 67:1639, '86). The stimuli which induce FY synthesis in MEGS are unknown, but if they are related or linked to factors which regulate terminal maturation processes cellular FY levels might increase as the maturation routine proceeds. To test this hypothesis, mature human MEGS were isolated from normal bone marrow by counterflow centrifugel elutrietion, deposited onto gloss slides by cytocentri-fugation, and then fixed in methanol:acetone. Individual cells were then staged, geometric meon cell diometer (size) determined with on opticol fylor, end FY end DNA levels measured. FV expression in a large area of the MEG (38 urn in diameter) was semi-quantitated by microspectrophotometry (MSPEC) using a sensitive Texas Red labeled streptavidin-biotin detection system and a monoclonal antibody probe (B10) directed against the non-binding FY activation peptide (150,000 kd). Cells were then reacted with Chromomycin A3 to allow for simultaneous DNA quantitation by MSPEC in the same cell. Correlation coefficients (r) and coefficient of determination [r2] were computer generated to discern potential relationships between FY expression, and MEG maturation stage, size or ploidy level in a total of 532 MEGS. Characteristics of the population, and r/r2 vs. MEG FV content ere shown below:r/r2 values did not significantly change when total MEG FY content was measured in 100 additional MEGS. Therefore, MEG FY levels varied independently with cell size and ploidy, and did not appear to correlate with degree of mature MEG maturation as determined by standard critera. In two of four preliminary experiments, low dose (8nM ql2h × 4 doses) tetradecanoyl phorbol acetate augmented both the number of MEGS expressing FV, and the level of FY expressed per individual cell. We conclude from these data that once FV synthesis is initiated, FY synthesis and events relating to final cell size and ploidy development are regulated independently. Our data also suggest that MEG FV synthesis may be regulated in part by the phosphoinositide-protein kinase C system.

scholarly journals Assessment of a scalp EEG-based automated seizure detection system

2010 ◽  
Vol 121 (11) ◽  
pp. 1832-1843 ◽  
Author(s):  
K.M. Kelly ◽  
D.S. Shiau ◽  
R.T. Kern ◽  
J.H. Chien ◽  
M.C.K. Yang ◽  
...  
Keyword(s):  
Detection System ◽  
Seizure Detection ◽  
Scalp Eeg

Reducing False Negatives in Intelligent Intrusion Detection Decision Response System

2011 ◽  
Vol 128-129 ◽  
pp. 676-681 ◽  
Author(s):  
Hong Mei Kai ◽  
Xiao Jie Liu ◽  
Ya Fei Liu ◽  
Lin Zhou
Keyword(s):  
Intrusion Detection ◽  
Detection System ◽  
Fuzzy Theory ◽  
False Positives ◽  
False Alarms ◽  
False Negatives ◽  
Essential Information ◽  
Malicious Activity ◽  
Response System ◽  
Number Of False Alarms

As soon as the Intrusion Detection System (IDS) detects any suspicious or malicious activity, it will generate alarms. Unfortunately, the triggered alarms usually are accompanied with huge number of false alarms (false-positives and false-negatives) which is the key performance parameters of the IDS. The risk of false-negatives is higher than false-positives. In our previous paper, we proposed a novel intelligent intrusion detection, decision, response system (I2D2RS) with fuzzy theory, which use the two essential information times and time, of the failed login to decide automatically the attacker like an experienced system/security administrator. Though the system can reduce the false alarms perfectly, the capability of processing simultaneous multi-point attack is relatively weak, and then false-negatives will be occurred. In this paper, we employ a preprocessing module to collect the failed login information before data processing. The proposed approach changes the processing procedure from serial to parallel processing, thus eliminates the false-negatives. The efficiency of these improvements was confirmed with the experiments.

scholarly journals Explanation Framework for Intrusion Detection

2020 ◽  
pp. 83-91
Author(s):  
Nadia Burkart ◽  
Maximilian Franz ◽  
Marco F. Huber
Keyword(s):  
Machine Learning ◽  
Deep Learning ◽  
Intrusion Detection ◽  
Intrusion Detection System ◽  
Detection System ◽  
False Positives ◽  
Human Reasoning ◽  
Malicious Activity ◽  
Specific Policy ◽  
Decision Boundaries

AbstractMachine learning and deep learning are widely used in various applications to assist or even replace human reasoning. For instance, a machine learning based intrusion detection system (IDS) monitors a network for malicious activity or specific policy violations. We propose that IDSs should attach a sufficiently understandable report to each alert to allow the operator to review them more efficiently. This work aims at complementing an IDS by means of a framework to create explanations. The explanations support the human operator in understanding alerts and reveal potential false positives. The focus lies on counterfactual instances and explanations based on locally faithful decision-boundaries.

scholarly journals Detection of lung cancer using Ten Convolutional Neural Network Models based modified co-learning technique in PET/CT image

2021 ◽  
Author(s):  
R. Kishore ◽  
R. Suresh Babu
Keyword(s):  
Neural Network ◽  
Lung Cancer ◽  
Convolutional Neural Network ◽  
Detection System ◽  
False Positive Rate ◽  
False Positives ◽  
Neural Network Models ◽  
Low Contrast ◽  
Pet Ct ◽  
Learning Technique

Abstract Background: A proposed Lung Cancer Detection System (LCDS) faces a major issue due to low spatial resolution in Positron Emission Tomography (PET) and low contrast in Computed Tomography (CT). However, radiologists are unable to notice lung nodules during the beginning stage of lung cancer.Method: Such an issue has been resolved by creating a modified co-learning technique which will be based on ten Convolutional Neural Network (CNN) models (Alexnet, VGG16, VGG19, Squeezenet, Googlenet, Inceptionv3, Mobilenetv2, Densenet201, Resnet18, Xception). This technique encodes modality specific features and utilizes them to acquire a spatially varying fusion map. These fusion maps are multiplied using a modality feature map for an utilization of image analysis.Result: A proposed LCDS attained 90 % sensitivity, 99.25% accuracy and 2.4 false positives per scan. By utilizing modified co-learning technique, our proposed LCDS attained 94.165 % sensitivity, 99.40 % accuracy and 1.6 false positives per scan in PET/CT.Conclusion: Our proposed LCDS attained tremendously minimum false positive rate and it is a promising technique in support of cancerous recognition due to improved sensitivity and accuracy.

Wide-spectral-range, Expanded-beam Spectroscopic Ellipsometer and its Application for Imaging/Mapping of Graded Nanocrystalline Si:H Films

2011 ◽  
Vol 1321 ◽  
Author(s):  
A. Nemeth ◽  
D. Attygalle ◽  
L. R. Dahal ◽  
P. Aryal ◽  
Z. Huang ◽  
...  
Keyword(s):  
Spectral Range ◽  
High Speed ◽  
Detection System ◽  
Two Dimensions ◽  
Angle Of Incidence ◽  
Large Area ◽  
Production Lines ◽  
Hydrogenated Silicon ◽  
Spectroscopic Ellipsometer ◽  
Diffuse Illumination

ABSTRACTA prototype expanded-beam spectroscopic ellipsometer has been developed that uses uncollimated (non-parallel, diffuse) illumination with a detection system consisting of an angle-of-incidence-sensitive pinhole camera for high-speed, large-area imaging/mapping applications. The performance of this novel instrument is being tested for imaging/mapping of mixed-phase hydrogenated silicon films having graded amorphous (a-Si:H) and nanocrystalline (nc-Si:H) components throughout the film depth. The speed of the measurement system makes the instrument suitable for use on production lines. The precision enables detection of subnanometer thicknesses, and refractive index and extinction coefficient changes of 0.01. Angle-of-incidence and mirror calibrations are made via well-known sample structures. Alternative commercial instrumentation for mapping by spectroscopic ellipsometry must translate the sample or ellipsometer in two dimensions. For this instrumentation, even a 15 × 15 cm2 sample with cm2 resolution requires > 200 measurements and at least 15 min. By imaging along one dimension in parallel, the expanded-beam system can measure with similar resolution in < 2 min. The focus of recent instrumentation efforts is on improving the overall system spectral range and its performance.

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