Fast Enhancement of Validation Test Sets to Improve Stuck-at Fault Coverage for RTL circuits

2007 ◽  
Author(s):  
L. Lingappan ◽  
V. Gangaram ◽  
N. Jha
Keyword(s):  
Fault Coverage ◽  
Validation Test ◽  
Test Sets

Algorithms to compute bridging fault coverage of I DDQ test sets

1997 ◽  
Vol 2 (3) ◽  
pp. 281-305 ◽  
Author(s):  
Paul Thadikaran ◽  
Sreejit Chakravarty ◽  
Janak Patel
Keyword(s):  
Fault Coverage ◽  
Bridging Fault ◽  
Test Sets

scholarly journals Automatic classification between COVID-19 pneumonia, non-COVID-19 pneumonia, and the healthy on chest X-ray image: combination of data augmentation methods

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Mizuho Nishio ◽  
Shunjiro Noguchi ◽  
Hidetoshi Matsuo ◽  
Takamichi Murakami
Keyword(s):  
Conventional Method ◽  
Data Augmentation ◽  
Single Type ◽  
X Ray ◽  
Cad System ◽  
Validation Test ◽  
Chest X Ray ◽  
Test Sets ◽  
Public Datasets ◽  
Aided Diagnosis

Abstract This study aimed to develop and validate computer-aided diagnosis (CXDx) system for classification between COVID-19 pneumonia, non-COVID-19 pneumonia, and the healthy on chest X-ray (CXR) images. From two public datasets, 1248 CXR images were obtained, which included 215, 533, and 500 CXR images of COVID-19 pneumonia patients, non-COVID-19 pneumonia patients, and the healthy samples, respectively. The proposed CADx system utilized VGG16 as a pre-trained model and combination of conventional method and mixup as data augmentation methods. Other types of pre-trained models were compared with the VGG16-based model. Single type or no data augmentation methods were also evaluated. Splitting of training/validation/test sets was used when building and evaluating the CADx system. Three-category accuracy was evaluated for test set with 125 CXR images. The three-category accuracy of the CAD system was 83.6% between COVID-19 pneumonia, non-COVID-19 pneumonia, and the healthy. Sensitivity for COVID-19 pneumonia was more than 90%. The combination of conventional method and mixup was more useful than single type or no data augmentation method. In conclusion, this study was able to create an accurate CADx system for the 3-category classification. Source code of our CADx system is available as open source for COVID-19 research.

Linguistische Fairness und differentielle Validität des Auditiven Wortlisten Lerntests (AWLT) bei Demenz vom Alzheimer-Typ

Diagnostica ◽  
2019 ◽  
Vol 65 (4) ◽  
pp. 193-204
Author(s):  
Johannes Baltasar Hessler ◽  
David Brieber ◽  
Johanna Egle ◽  
Georg Mandler ◽  
Thomas Jahn
Keyword(s):  
Cognitive Functions ◽  
Kognitive Funktionen ◽  
Alzheimer Demenz ◽  
Test Sets

Zusammenfassung. Der Auditive Wortlisten Lerntest (AWLT) ist Teil des Test-Sets Kognitive Funktionen Demenz (CFD; Cognitive Functions Dementia) im Rahmen des Wiener Testsystems (WTS). Der AWLT wurde entlang neurolinguistischer Kriterien entwickelt, um Interaktionen zwischen dem kognitiven Status der Testpersonen und den linguistischen Eigenschaften der Lernliste zu reduzieren. Anhand einer nach Alter, Bildung und Geschlecht parallelisierten Stichprobe von gesunden Probandinnen und Probanden ( N = 44) und Patientinnen und Patienten mit Alzheimer Demenz ( N = 44) wurde mit ANOVAs für Messwiederholungen überprüft, inwieweit dieses Konstruktionsziel erreicht wurde. Weiter wurde die Fähigkeit der Hauptvariablen des AWLT untersucht, zwischen diesen Gruppen zu unterscheiden. Es traten Interaktionen mit geringer Effektstärke zwischen linguistischen Eigenschaften und der Diagnose auf. Die Hauptvariablen trennten mit großen Effektstärken Patientinnen und Patienten von Gesunden. Der AWLT scheint bei vergleichbarer differenzieller Validität linguistisch fairer als ähnliche Instrumente zu sein.

DEVELOPMENT OF A TEACHING BOOK BASED ON LOCAL WISDOM OF JEPARA DISTRICT FOR CLASS V ELEMENTARY SCHOOL STUDENTSDEVELOPMENT OF A TEACHING BOOK BASED ON LOCAL WISDOM OF JEPARA DISTRICT FOR CLASS V ELEMENTARY SCHOOL STUDENTS

2020 ◽  
Vol 4 (6) ◽  
Author(s):  
Zaenal Arifin
Keyword(s):  
Elementary School ◽  
Data Collection ◽  
Learning Outcomes ◽  
Elementary School Students ◽  
Descriptive Analysis ◽  
School Students ◽  
Initial Product ◽  
Class V ◽  
Validation Test ◽  
Analysis Technique

This study aims to: (1) develop thematic textbooks based on local wisdom of our best friend's environmental theme material for grade V elementary school students, (2) Know the validity, practicality and effectiveness of thematic textbooks based on local wisdom of our best friend's environmental theme material for grade students V elementary school. The development of thematic textbook learning media based on local wisdom uses the Research and Development (R & D) method. The development stages include: (1) Potentials and problems, (2) Data collection, (3) Product design, (4) Design validation, (5) Design revision, (6) Product testing, (7) Product revision (Sugiyono, 2016). The research was conducted with 33 students from class V SDN 2 Sendang Jepara Regency. Initial product development is a process of making media based on needs analysis. Expert testing or validation was carried out by 2 experts, namely media experts and material experts. The data collection method in this research is observation, interview, and questionnaire. The data analysis technique used descriptive analysis and comparison test of two independent groups, namely using the independent t-test. Based on the results of the trial, this thematic teaching material is very valid, very interesting, effective and can be applied in learning. This can be seen from the results of the validation test from three experts which show that the product is good. The results of the effectiveness test showed that the experimental class students had better learning outcomes than the control class. This means that textbooks based on local wisdom of Jepara Regency are developed effectively

Sign in / Sign up

Export Citation Format

Share Document