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1. |
Record Nr. |
UNINA9910254821503321 |
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Autore |
Kulak Daryl |
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Titolo |
The Journey to Enterprise Agility : Systems Thinking and Organizational Legacy / / by Daryl Kulak, Hong Li |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
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ISBN |
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Edizione |
[1st ed. 2017.] |
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Descrizione fisica |
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1 online resource (XIX, 286 p. 35 illus., 32 illus. in color.) |
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Disciplina |
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Soggetti |
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Management information systems |
Computer science |
Software engineering |
Management of Computing and Information Systems |
Software Management |
Software Engineering |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Today’s Problems with Enterprise Business Software -- The Scholars of Systems Thinking -- Worldview and Intentions -- Seven Principles of Systems Thinking for Software Development -- Redefining Professionalism -- Scaling and Sustaining – Avoiding Mechanical Behavior -- Business Value, Estimation and Metrics -- Missing Deadlines Means Missing Market Opportunities -- Flipping the Run/Build Ratio – The Business Case for Software Craftsmanship -- Better Vendor RFPs and Contracts -- Servant Leadership -- How Teams Keep Learning and Improving -- Getting Coaching that Really Helps -- Capitalizing Software Investments -- Integrating Enterprise Methodology and Architecture with Fast-Moving Development Teams -- HR Agility -- Buy versus Build -- Brief Notes on Using Offshore Teams -- Highlighting the Differences Between Software Product Companies and Internal IT -- Conclusion. |
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Sommario/riassunto |
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This is the first book to seriously address the disconnection between nimble Agile teams and other groups in the enterprise, including enterprise architecture, the program management office (PMO), human |
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resources, and even business executives. When an enterprise experiments with practice improvements, software development teams often jump on board with excitement, while other groups are left to wonder how they will fit in. We address how these groups can adapt to Agile teams. More importantly, we show how many Agile teams cause their own problems, damaging scalability and sustainability, by requiring special treatment, and by failing to bridge the gaps between themselves and other groups. We call this phenomenon “Agile illth.” Adopting a set of “best practices” is not enough. All of us, Agile teams and the corporate groups, must change our intentions and worldviews to be more compatible with the success of the enterprise. Join us on the journey to enterprise agility. It is a crooked path, fraught with danger, confusion and complexity. It is the only way to reach the pinnacles we hope to experience in the form of better business value delivered faster for less cost. |
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2. |
Record Nr. |
UNINA9911020472903321 |
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Autore |
Kumar L. Ashok |
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Titolo |
Automatic Speech Recognition and Translation for Low Resource Languages |
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Pubbl/distr/stampa |
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Newark : , : John Wiley & Sons, Incorporated, , 2024 |
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©2024 |
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ISBN |
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9781394214624 |
1394214626 |
9781394214129 |
139421412X |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (495 pages) |
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Altri autori (Persone) |
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RenukaD. Karthika |
ChakravarthiBharathi Raja |
MandlThomas |
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Disciplina |
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Soggetti |
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Translating and interpreting - Technological innovations |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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AUTOMATIC SPEECH RECOGNITION and TRANSLATION for LOW-RESOURCE LANGUAGES This book is a comprehensive exploration into the cutting-edge research, methodologies, and advancements in addressing the unique challenges associated with ASR and translation for low-resource languages. Automatic Speech Recognition and Translation for Low Resource Languages contains groundbreaking research from experts and researchers sharing innovative solutions that address language challenges in low-resource environments. The book begins by delving into the fundamental concepts of ASR and translation, providing readers with a solid foundation for understanding the subsequent chapters. It then explores the intricacies of low-resource languages, analyzing the factors that contribute to their challenges and the significance of developing tailored solutions to overcome them. The chapters encompass a wide range of topics, ranging from both the theoretical and practical aspects of ASR and translation for low-resource languages. The book discusses data augmentation techniques, transfer learning, and multilingual training approaches that leverage the power of existing linguistic resources to improve accuracy and performance. Additionally, it investigates the possibilities offered by unsupervised and semi-supervised learning, as well as the benefits of active learning and crowdsourcing in enriching the training data. Throughout the book, emphasis is placed on the importance of considering the cultural and linguistic context of low-resource languages, recognizing the unique nuances and intricacies that influence accurate ASR and translation. Furthermore, the book explores the potential impact of these technologies in various domains, such as healthcare, education, and commerce, empowering individuals and communities by breaking down language barriers. Audience The book targets researchers and professionals in the fields of natural language processing, computational linguistics, and speech technology. It will also be of interest to engineers, linguists, and individuals in industries and organizations working on cross-lingual communication, accessibility, and global connectivity. |
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3. |
Record Nr. |
UNINA9910254997403321 |
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Autore |
Chen Fang |
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Titolo |
Robust Multimodal Cognitive Load Measurement / / by Fang Chen, Jianlong Zhou, Yang Wang, Kun Yu, Syed Z. Arshad, Ahmad Khawaji, Dan Conway |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
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ISBN |
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Edizione |
[1st ed. 2016.] |
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Descrizione fisica |
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1 online resource (XIV, 254 p. 131 illus., 65 illus. in color.) |
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Collana |
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Human–Computer Interaction Series, , 1571-5035 |
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Disciplina |
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Soggetti |
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User interfaces (Computer systems) |
Psychobiology |
Biometry |
User Interfaces and Human Computer Interaction |
Biological Psychology |
Biometrics |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters. |
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Nota di contenuto |
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Preface -- Part I: Preliminaries -- Introduction -- The State-of-The-Art -- Theoretical Aspects of Multimodal Cognitive Load Measures -- Part II: Physiological Measurement -- Eye Based Measures. Galvanic Skin Response Based Measures -- Part III: Behavioural Measurement -- Linguistic Feature Based Measures -- Speech Signal Based Measures -- Pen Input Based Measures -- Mouse Based Measures -- Part IV: Multimodal Measures and Affecting Factors -- Multimodal Measures and Data Fusion -- Emotion and Cognitive Load -- Stress and Cognitive Load -- Trust and Cognitive Load -- Part V: Making Cognitive Load Measurement Accessible -- Dynamic Cognitive Load Adjustments in A Feedback Loop -- Real-Time Cognitive Load Measurement: Data Streaming Approach -- Applications of Cognitive Load Measurement -- Part VI: Conclusions -- Cognitive Load Measurement in Perspectives. |
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Sommario/riassunto |
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This book explores robust multimodal cognitive load measurement with physiological and behavioural modalities, which involve the eye, |
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Galvanic Skin Response, speech, language, pen input, mouse movement and multimodality fusions. Factors including stress, trust, and environmental factors such as illumination are discussed regarding their implications for cognitive load measurement. Furthermore, dynamic workload adjustment and real-time cognitive load measurement with data streaming are presented in order to make cognitive load measurement accessible by more widespread applications and users. Finally, application examples are reviewed demonstrating the feasibility of multimodal cognitive load measurement in practical applications. This is the first book of its kind to systematically introduce various computational methods for automatic and real-time cognitive load measurement and by doing so moves the practical application of cognitive load measurement from the domain of the computer scientist and psychologist to more general end-users, ready for widespread implementation. Robust Multimodal Cognitive Load Measurement is intended for researchers and practitioners involved with cognitive load studies and communities within the computer, cognitive, and social sciences. The book will especially benefit researchers in areas like behaviour analysis, social analytics, human-computer interaction (HCI), intelligent information processing, and decision support systems. |
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