Common information, noise stability, and their extensions (2022)

Public ISBD Titre : Common information, noise stability, and their extensions Type de document : document électronique Editeur : Boston : Now Publishers Année de publication : 2022 Importance : 1 fichier PDF Présentation : ill. ISBN/ISSN/EAN : 978-1-63828-015-6 Note générale : Mode d'accès : accès au texte intégral par : - authentification après inscription à la plateforme EBSCOhost ou - adresse IP de l'École Bibliogr. p. 265 - 283 Mots-clés : Information theory Communication complexity--computer science Résumé : Common information measures the amount of matching variables in two or more information sources. It is ubiquitous in information theory and related areas such as theoretical computer science and discrete probability. However, because there are multiple notions of common information, a unified understanding of the deep interconnections between them is lacking. In this monograph the authors fill this gap by leveraging a small set of mathematical techniques that are applicable across seemingly disparate problems. The reader is introduced in Part I to the operational tasks and properties associated with the two main measures of common information, namely Wyner's and Gács–Körner–Witsenhausen's (GKW). In the subsequent two Parts, the authors take a deeper look at each of these. In Part II they discuss extensions to Wyner's common information from the perspective of distributed source simulation, including the Rényi common information. In Part III, GKW common information comes under the spotlight. Having laid the groundwork, the authors seamlessly transition to discussing their connections to various conjectures in information theory and discrete probability. This monograph provides students and researchers in Information Theory with a comprehensive resource for understanding common information and points the way forward to creating a unified set of techniques applicable over a wide range of problems. Note de contenu : Summary: I. Classic common information quantities. 2. Wyner’s common information. 3. Gács–körner–witsenhausen’s common information. II. Extensions of wyner’s common information. 4. Rényi and total variation common information. 5. Exact common information. ... III. Extensions of Gács–Körner–Witsenhausen’s common information. 8. Non-interactive correlation distillation. 9. Q-stability. Common information, noise stability, and their extensions [document électronique] . - Boston : Now Publishers, 2022 . - 1 fichier PDF : ill. ISBN : 978-1-63828-015-6 Mode d'accès : accès au texte intégral par : - authentification après inscription à la plateforme EBSCOhost ou - adresse IP de l'École Bibliogr. p. 265 - 283 Mots-clés : Information theory Communication complexity--computer science Résumé : Common information measures the amount of matching variables in two or more information sources. It is ubiquitous in information theory and related areas such as theoretical computer science and discrete probability. However, because there are multiple notions of common information, a unified understanding of the deep interconnections between them is lacking. In this monograph the authors fill this gap by leveraging a small set of mathematical techniques that are applicable across seemingly disparate problems. The reader is introduced in Part I to the operational tasks and properties associated with the two main measures of common information, namely Wyner's and Gács–Körner–Witsenhausen's (GKW). In the subsequent two Parts, the authors take a deeper look at each of these. In Part II they discuss extensions to Wyner's common information from the perspective of distributed source simulation, including the Rényi common information. In Part III, GKW common information comes under the spotlight. Having laid the groundwork, the authors seamlessly transition to discussing their connections to various conjectures in information theory and discrete probability. This monograph provides students and researchers in Information Theory with a comprehensive resource for understanding common information and points the way forward to creating a unified set of techniques applicable over a wide range of problems. Note de contenu : Summary: I. Classic common information quantities. 2. Wyner’s common information. 3. Gács–körner–witsenhausen’s common information. II. Extensions of wyner’s common information. 4. Rényi and total variation common information. 5. Exact common information. ... III. Extensions of Gács–Körner–Witsenhausen’s common information. 8. Non-interactive correlation distillation. 9. Q-stability.

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Human-computer interaction in industry (2022)

Public ISBD Titre : Human-computer interaction in industry : a systematic review on the applicability and value-added of operator assistance systems Type de document : document électronique Editeur : Boston : Now Publishers Année de publication : 2022 Importance : 1 fichier PDF Présentation : ill. ISBN/ISSN/EAN : 978-1-63828-123-8 Note générale : Mode d'accès : accès au texte intégral par : - authentification après inscription à la plateforme EBSCOhost ou - adresse IP de l'École Annexe p. 67 - 89 .- Bibliogr. p. 90 -149 Mots-clés : Manufacturing processes--Human factors Manufacturing processes--Automation Human-computer interaction--Industrial applications Résumé : We live in a manufactured world and the manufacturing and production industry is one of the primary sources of economic prosperity for most countries. Industries strive to produce the right goods for the right customer at the right time, location, quantity, quality, and cost. In addition to this overarching objective, they are faced with a set of challenges such as meeting increased customer requirements, increasing complexity of products and supply chains, ensuring machine and workforce productivity, and empowering the workforce by creating opportunities for training and lifelong learning. To meet these challenges organizations have leveraged technologies in production systems since the beginning of industrialization. In the 1960s, two approaches to improve production emerged: automation and augmentation. Until recently, physical and mechanical automation dominated industrial research. However, with the emergence of the Fourth Industrial Revolution, the potential of Human-Computer Interaction (HCI) serving a transformative role in manufacturing has gained significant interest and relevance in industry. Where full automation is ineffective or infeasible, Operator Assistance Systems (OAS) can augment workers'cognitive or physical capabilities. In this monograph, the authors frame OAS as a subset of HCI systems designed for the purpose of workforce augmentation in production systems. However, while OAS are anticipated to address key needs in industry, a challenge for both OAS researchers and industrial practitioners is to identify the most promising applications of OAS and justify them from a value-added perspective. This monograph addresses the challenges in OAS by presenting a systematic literature review revealing 11 application areas for OAS and 12 approaches for assessing the value-added of OAS. The authors also discuss implications for OAS, with a particular focus on integration in industry. Note de contenu : Summary : 1. Systematic Review 2. Value-added of OAS 3. Application Areas of OAS 4. OAS Assessment 5. Discussion Human-computer interaction in industry : a systematic review on the applicability and value-added of operator assistance systems [document électronique] . - Boston : Now Publishers, 2022 . - 1 fichier PDF : ill. ISBN : 978-1-63828-123-8 Mode d'accès : accès au texte intégral par : - authentification après inscription à la plateforme EBSCOhost ou - adresse IP de l'École Annexe p. 67 - 89 .- Bibliogr. p. 90 -149 Mots-clés : Manufacturing processes--Human factors Manufacturing processes--Automation Human-computer interaction--Industrial applications Résumé : We live in a manufactured world and the manufacturing and production industry is one of the primary sources of economic prosperity for most countries. Industries strive to produce the right goods for the right customer at the right time, location, quantity, quality, and cost. In addition to this overarching objective, they are faced with a set of challenges such as meeting increased customer requirements, increasing complexity of products and supply chains, ensuring machine and workforce productivity, and empowering the workforce by creating opportunities for training and lifelong learning. To meet these challenges organizations have leveraged technologies in production systems since the beginning of industrialization. In the 1960s, two approaches to improve production emerged: automation and augmentation. Until recently, physical and mechanical automation dominated industrial research. However, with the emergence of the Fourth Industrial Revolution, the potential of Human-Computer Interaction (HCI) serving a transformative role in manufacturing has gained significant interest and relevance in industry. Where full automation is ineffective or infeasible, Operator Assistance Systems (OAS) can augment workers'cognitive or physical capabilities. In this monograph, the authors frame OAS as a subset of HCI systems designed for the purpose of workforce augmentation in production systems. However, while OAS are anticipated to address key needs in industry, a challenge for both OAS researchers and industrial practitioners is to identify the most promising applications of OAS and justify them from a value-added perspective. This monograph addresses the challenges in OAS by presenting a systematic literature review revealing 11 application areas for OAS and 12 approaches for assessing the value-added of OAS. The authors also discuss implications for OAS, with a particular focus on integration in industry. Note de contenu : Summary : 1. Systematic Review 2. Value-added of OAS 3. Application Areas of OAS 4. OAS Assessment 5. Discussion

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