Pub Date : 2023-01-01DOI: 10.23940/ijpe.23.08.p4.516525
Boutayeb Abdelouahed, Chamat Abderrahim, Ennadi Abdelali, Daya Abdelmajid
{"title":"Influence of Lean and Lean Six Sigma on Social Factors in the Moroccan Industry - Case Study","authors":"Boutayeb Abdelouahed, Chamat Abderrahim, Ennadi Abdelali, Daya Abdelmajid","doi":"10.23940/ijpe.23.08.p4.516525","DOIUrl":"https://doi.org/10.23940/ijpe.23.08.p4.516525","url":null,"abstract":"","PeriodicalId":39483,"journal":{"name":"International Journal of Performability Engineering","volume":"363 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136005343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.23940/ijpe.23.07.p6.471480
Me Me Khaing, N. Jeyanthi
{"title":"EDocDeDup: Electronic Document Data Deduplication Towards Storage Optimization","authors":"Me Me Khaing, N. Jeyanthi","doi":"10.23940/ijpe.23.07.p6.471480","DOIUrl":"https://doi.org/10.23940/ijpe.23.07.p6.471480","url":null,"abstract":"","PeriodicalId":39483,"journal":{"name":"International Journal of Performability Engineering","volume":"19 1","pages":"471"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68774897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.23940/ijpe.23.08.p7.547558
Diaz Victor, Eric Wong W., Chen Zizhao
A combination of nonverbal cues, verbal cues, and measurements of body abnormality make guidelines to determine deceitfulness. The combination of these guidelines will vary from person to person, making deception detection a complex challenge. Research has demonstrated that the accuracy of the latest computerized polygraph testing techniques is 98% accurate. Several human-controlled variables help to achieve this level of accuracy, such as being properly trained and must use an accepted procedure and scoring system from the British Polygraph Society. This causes a lack of availability for Deception detection as the implementing these techniques have training from the British Polygraph Society. Hence this research aims to reduce the requirements of lie detection by relying on Visual Features tracked with computer vision. The proposed multi-modal will track facial and body movements to classify whether a person is Deceiving or telling the Truth. The model proposed will use data consisting of videos collected from public court trials. The data will be cleaned with Facial Action Units (AU) with OpenFace, and then augmented with various rotations. The features extracted from the videos are the Movement with Holistic landmarks and Unique features from deep learning extraction. The Multi-model will consist of three pathways: a 3D-CNN pathway, a CovLSTM2D Pathway, and a dense pathway. The outputs of the three paths are concatenated and fed into a dense layer with SoftMax activation for classification. With a continuous emphasis on examining the proposed methodology for model creation, we discovered that higher accuracy can be achieved by leveraging deep learning algorithms for visual inputs as complex as the human body.
{"title":"Enhancing Deception Detection with Exclusive Visual Features using Deep Learning","authors":"Diaz Victor, Eric Wong W., Chen Zizhao","doi":"10.23940/ijpe.23.08.p7.547558","DOIUrl":"https://doi.org/10.23940/ijpe.23.08.p7.547558","url":null,"abstract":"A combination of nonverbal cues, verbal cues, and measurements of body abnormality make guidelines to determine deceitfulness. The combination of these guidelines will vary from person to person, making deception detection a complex challenge. Research has demonstrated that the accuracy of the latest computerized polygraph testing techniques is 98% accurate. Several human-controlled variables help to achieve this level of accuracy, such as being properly trained and must use an accepted procedure and scoring system from the British Polygraph Society. This causes a lack of availability for Deception detection as the implementing these techniques have training from the British Polygraph Society. Hence this research aims to reduce the requirements of lie detection by relying on Visual Features tracked with computer vision. The proposed multi-modal will track facial and body movements to classify whether a person is Deceiving or telling the Truth. The model proposed will use data consisting of videos collected from public court trials. The data will be cleaned with Facial Action Units (AU) with OpenFace, and then augmented with various rotations. The features extracted from the videos are the Movement with Holistic landmarks and Unique features from deep learning extraction. The Multi-model will consist of three pathways: a 3D-CNN pathway, a CovLSTM2D Pathway, and a dense pathway. The outputs of the three paths are concatenated and fed into a dense layer with SoftMax activation for classification. With a continuous emphasis on examining the proposed methodology for model creation, we discovered that higher accuracy can be achieved by leveraging deep learning algorithms for visual inputs as complex as the human body.","PeriodicalId":39483,"journal":{"name":"International Journal of Performability Engineering","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136004940","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.23940/ijpe.23.04.p2.234241
Amanpreet Kaur, Alisa Gazizullina, A. Mantri
{"title":"Analyzing the Effects of Virtual Reality Headsets on Human Memory","authors":"Amanpreet Kaur, Alisa Gazizullina, A. Mantri","doi":"10.23940/ijpe.23.04.p2.234241","DOIUrl":"https://doi.org/10.23940/ijpe.23.04.p2.234241","url":null,"abstract":"","PeriodicalId":39483,"journal":{"name":"International Journal of Performability Engineering","volume":"19 1","pages":"234"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68774550","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.23940/ijpe.23.05.p5.334341
Yadav Mahima, Kumar Ishan
{"title":"Image Processing-Based Transliteration from Hindi to English","authors":"Yadav Mahima, Kumar Ishan","doi":"10.23940/ijpe.23.05.p5.334341","DOIUrl":"https://doi.org/10.23940/ijpe.23.05.p5.334341","url":null,"abstract":"","PeriodicalId":39483,"journal":{"name":"International Journal of Performability Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"68774647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-01-01DOI: 10.23940/ijpe.23.08.p6.536546
Eswara Rao K., Murali Pydi Bala, Panduranga Vital T., Annan Naidu P., D. Prasann U., Ravikumar T.
{"title":"An Advanced Machine Learning Approach for Student Placement Prediction and Analysis","authors":"Eswara Rao K., Murali Pydi Bala, Panduranga Vital T., Annan Naidu P., D. Prasann U., Ravikumar T.","doi":"10.23940/ijpe.23.08.p6.536546","DOIUrl":"https://doi.org/10.23940/ijpe.23.08.p6.536546","url":null,"abstract":"","PeriodicalId":39483,"journal":{"name":"International Journal of Performability Engineering","volume":"363 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136006013","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Patch-Based Breast Cancer Histopathological Image Classification using Deep Learning","authors":"Rajput Aashita, Yadav Muskan, Yadav Sachin, Chhabra Megha, Prakash Agarwal Arun","doi":"10.23940/ijpe.23.09.p6.607623","DOIUrl":"https://doi.org/10.23940/ijpe.23.09.p6.607623","url":null,"abstract":"","PeriodicalId":39483,"journal":{"name":"International Journal of Performability Engineering","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134887675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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