scholarly journals Preparation of superhydrophobic AgNPs/GF substrate and its SERS application in complex detection environment

2021 ◽  
Author(s):  
Chundong Liu ◽  
Fengcai Lei ◽  
Yisheng Wei ◽  
Zhen Li ◽  
C Zhang ◽  
...  
Keyword(s):  
Complex Detection

scholarly journals A Modified FlowDroid Based on Chi-Square Test of Permissions

Entropy ◽  
2021 ◽  
Vol 23 (2) ◽  
pp. 174
Author(s):  
Hongzhaoning Kang ◽  
Gang Liu ◽  
Zhengping Wu ◽  
Yumin Tian ◽  
Lizhi Zhang
Keyword(s):  
Detection Efficiency ◽  
False Alarms ◽  
Chi Square ◽  
Secure Storage ◽  
Chi Square Test ◽  
Complex Detection ◽  
Android Applications ◽  
Malicious Apps ◽  
Flow Detection ◽  
Static Detection

Android devices are currently widely used in many fields, such as automatic control, embedded systems, the Internet of Things and so on. At the same time, Android applications (apps) always use multiple permissions, and permissions can be abused by malicious apps that disclose users’ privacy or breach the secure storage of information. FlowDroid has been extensively studied as a novel and highly precise static taint analysis for Android applications. Aiming at the problem of complex detection and false alarms in FlowDroid, an improved static detection method based on feature permission and risk rating is proposed. Firstly, the Chi-square test is used to extract correlated permissions related to malicious apps, and mutual information is used to cluster the permissions to generate feature permission clusters. Secondly, risk calculation method based on permissions and combinations of permissions are proposed to identify dangerous data flows. Experiments show that this method can significantly improve detection efficiency while maintaining the accuracy of dangerous data flow detection.

scholarly journals Antigen, antibody and immune complex detection in serum samples from rats experimentally infected with Strongyloides venezuelensis

2012 ◽  
Vol 130 (3) ◽  
pp. 205-208 ◽  
Author(s):  
Ana Lúcia R. Gonçalves ◽  
Claudio V. Silva ◽  
Marlene T. Ueta ◽  
Julia M. Costa-Cruz
Keyword(s):  
Immune Complex ◽  
Serum Samples ◽  
Strongyloides Venezuelensis ◽  
Complex Detection ◽  
Antigen Antibody

EFFICIENT QRS COMPLEX DETECTION ALGORITHM IMPLEMENTATION ON SOC-BASED EMBEDDED SYSTEM

2016 ◽  
Vol 78 (7-5) ◽  
Author(s):  
Muhammad Amin Hashim ◽  
Yuan Wen Hau ◽  
Rabia Baktheri
Keyword(s):  
Embedded System ◽  
Detection Algorithm ◽  
Detection Accuracy ◽  
Qrs Complex ◽  
Qrs Detection ◽  
Qrs Complex Detection ◽  
Moving Windows ◽  
Field Programmable ◽  
Complex Detection ◽  
On Chip

This paper studies two different Electrocardiography (ECG) preprocessing algorithms, namely Pan and Tompkins (PT) and Derivative Based (DB) algorithm, which is crucial of QRS complex detection in cardiovascular disease detection. Both algorithms are compared in terms of QRS detection accuracy and computation timing performance, with implementation on System-on-Chip (SoC) based embedded system that prototype on Altera DE2-115 Field Programmable Gate Array (FPGA) platform as embedded software. Both algorithms are tested with 30 minutes ECG data from each of 48 different patient records obtain from MIT-BIH arrhythmia database. Results show that PT algorithm achieve 98.15% accuracy with 56.33 seconds computation while DB algorithm achieve 96.74% with only 22.14 seconds processing time. Based on the study, an optimized PT algorithm with improvement on Moving Windows Integrator (MWI) has been proposed to accelerate its computation. Result shows that the proposed optimized Moving Windows Integrator algorithm achieves 9.5 times speed up than original MWI while retaining its QRS detection accuracy. 

An Approach for Fetal QRS Complex Detection from Abdominal ECG Recordings

2021 ◽  
Author(s):  
Yuwei Zhang ◽  
Aihua Gu ◽  
Chenxi Yang ◽  
Jianqing Li ◽  
Chengyu Liu
Keyword(s):  
Qrs Complex ◽  
Qrs Complex Detection ◽  
Complex Detection
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