RDID-GAN: Reconstructing a De-identified Image Dataset to Generate Effective Learning Data

2021 ◽  
Vol 48 (12) ◽  
pp. 1329-1334
Author(s):  
Wonseok Oh ◽  
Kangmin Bae ◽  
Yuseok Bae
Keyword(s):  
Effective Learning ◽  
Image Dataset ◽  
Learning Data

Data Requirements for Process Learning

2013 ◽  
Vol 3 (1) ◽  
pp. 1-18 ◽  
Author(s):  
Johny Ghattas ◽  
Mor Peleg ◽  
Pnina Soffer ◽  
Yaron Denekamp
Keyword(s):  
Learning Process ◽  
Process Model ◽  
Process Management ◽  
Process Performance ◽  
Log Data ◽  
Clinical Process ◽  
Effective Learning ◽  
Process Learning ◽  
Data Requirements ◽  
Learning Data

Process flexibility and adaptability is essential in environments where the processes are prompt to changes and variations. Process learning is a possible approach for automatically discovering from process log data those process paths that yielded good outcomes and suggesting appropriate process model modifications to enhance future process performance in such environments. The authors discuss and establish the data requirements for process learning, applicable to clinical process management. Their discussion extends a previously established learning process model (LPM) by providing a formal set of data requirements which enables the authors to accomplish effective learning. Learning data requirements are illustrated by walking through the application of the LPM framework to a clinical process.

The implications of minority group testing for more effective learning

1971 ◽  
Author(s):  
Florence L. Denmark ◽  
Ethel Jackson Shirk ◽  
Leonard E. Bart ◽  
Bernice Baxter ◽  
Alfredo Casteneda ◽  
...  
Keyword(s):  
Minority Group ◽  
Group Testing ◽  
Effective Learning

Is testing a more effective learning strategy than note-taking?

2017 ◽  
Vol 23 (3) ◽  
pp. 293-300 ◽  
Author(s):  
Ralf Rummer ◽  
Judith Schweppe ◽  
Kathleen Gerst ◽  
Simon Wagner
Keyword(s):  
Learning Strategy ◽  
Note Taking ◽  
Effective Learning

Efektifitas Pembelajaran Bahasa Arab 0 (nol) sks dalam membentuk Bi’ah al-‘Arabiyah pada Prodi PAI STIT Raden Wijaya

2018 ◽  
Vol 1 (2) ◽  
pp. 51
Author(s):  
Mustain Mustain
Keyword(s):  
Religious Education ◽  
Arabic Language ◽  
Islamic Education ◽  
Foreign Languages ◽  
Primary Data ◽  
Study Program ◽  
Effective Learning ◽  
Education Study ◽  
Arabic And English ◽  
Oriented Approach

Arabic subjects are very important to develop the ability to communicate. By learning Arabic, students can understand the conversation and reading in Arabic well. Formal Arabic Studies in Madrasahs are the main means for students to master Arabic. This study aims to: 1) Know the efforts of STI Pati Raden Wijaya Prodi in shaping Arabic environment on Prodi PIT STIT Raden Wijaya. 2) Knowing the supporting factors in shaping Arabic environment on PAI STIT Raden Wijaya Prodi. 3) Knowing the obstacles faced by Prodi PIT STIT Raden Wijaya in shaping Arabic environment at Prodi PIT STIT Raden Wijaya. This study uses oriented approach (paradigm) Descriptive-Qualitative, While the type of research is using case studies (Santoso, 2005). In this study the researchers themselves or with the help of others are the main data collectors. This research was conducted at Tarbiyah High School of Raden Wijaya Kota Mojokerto, on Islamic Religious Education Study Program. In this study, the primary data obtained by researchers is: the results of interviews with the Chairman of the Study Program of Islamic Education and Students Semester I (One). In this study used in analyzing data that has been obtained is by descriptive (non statistical) descriptive that is explorative. The conclusions of this research are: 1) Effort-uaha done Prodi in making effective learning arab language in Prodi PIT STIT Raden Wijaya are: a. He held yaum al-'araby twice a week on Friday. b. It was called shabah al-lughah a week twice before ta'lim afkar al-islamy began. c. The existence of study club on each mabna. 2) Factors that become supporters in forming bi'ah al-'arabiyah are: a. Attachment of mufradat in strategic places. b. Make plaques that are written / spoken in Arabic to make it easier to remember. c. Songs in foreign languages ​​(Arabic and English) to increase students' insight in developing the language. 3) The constraints faced in creating bi'ah al-'arabiyah namely: a. Ability and basic students are different. b. There is no class classification that suits the ability of each student. c. Lack of facilities / facilities and infrastructure. d. Competence musyrif / ah who are not all able to speak. e. The curriculum and materials that are presented have not been neatly arranged. f. The absence of a strict iqob for students who do not communicate arabic language everyday.

A Fault Detection Approach Based on Sound Signal Analysis for Equipment Monitoring

2020 ◽  
pp. 129-139
Author(s):  
Weihai Sun ◽  
Lemei Han
Keyword(s):  
Fault Detection ◽  
Signal Analysis ◽  
Energy Analysis ◽  
Detection Method ◽  
Sound Signal ◽  
Practical Significance ◽  
Time Frequency ◽  
Detection Approach ◽  
Machine Fault ◽  
Learning Data

Machine fault detection has great practical significance. Compared with the detection method that requires external sensors, the detection of machine fault by sound signal does not need to destroy its structure. The current popular audio-based fault detection often needs a lot of learning data and complex learning process, and needs the support of known fault database. The fault detection method based on audio proposed in this paper only needs to ensure that the machine works normally in the first second. Through the correlation coefficient calculation, energy analysis, EMD and other methods to carry out time-frequency analysis of the subsequent collected sound signals, we can detect whether the machine has fault.

A Flying Gray Ball Multi-illuminant Image Dataset for Color Research

2020 ◽  
Vol 64 (5) ◽  
pp. 50411-1-50411-8
Author(s):  
Hoda Aghaei ◽  
Brian Funt
Keyword(s):  
Machine Vision ◽  
Spectral Reflectance ◽  
Color Constancy ◽  
Ground Truth ◽  
Practical Approach ◽  
Post Processing ◽  
Illumination Estimation ◽  
Processing Step ◽  
Image Dataset

Abstract For research in the field of illumination estimation and color constancy, there is a need for ground-truth measurement of the illumination color at many locations within multi-illuminant scenes. A practical approach to obtaining such ground-truth illumination data is presented here. The proposed method involves using a drone to carry a gray ball of known percent surface spectral reflectance throughout a scene while photographing it frequently during the flight using a calibrated camera. The captured images are then post-processed. In the post-processing step, machine vision techniques are used to detect the gray ball within each frame. The camera RGB of light reflected from the gray ball provides a measure of the illumination color at that location. In total, the dataset contains 30 scenes with 100 illumination measurements on average per scene. The dataset is available for download free of charge.

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