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1. |
Record Nr. |
UNINA9910557109203321 |
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Autore |
Song Beibei |
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Titolo |
Business, Open Innovation and Art |
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Pubbl/distr/stampa |
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
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Descrizione fisica |
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1 online resource (155 p.) |
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Soggetti |
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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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After its predecessors turned humans and organizations into machines, the Fourth Industrial Revolution is turning machines into humans. As digital machines acquire more and more cognitive intelligence, the development of humans becomes ever more vital, for society and business alike. Time has come to recognize the value of art and humanities. As the world experiences massive turbulence and companies find their "whitewater" environment increasingly complex to navigate, the 20th-Century mantras of efficiency, the bottom-line and shareholder value no longer suffice as proper guidance. New futures call for anticipatory creativity. Channeling inventiveness, aesthetics and a sense of meaning, art can be a powerful tool to catalyze innovation and transformation, helping companies (re)discover their compass, create new rafts to conquer the rapids, and find "blue ocean" market spaces in new world realities. Authored by multidisciplinary contributors brought together by editors BeiBei Song and Piero Formica, "Business, Open Innovation and Art" reflects a New Renaissance movement to revive humanness in the age of AI and harmony between man and nature. The research, case studies and experiments demonstrate a rich, multidimensional relationship between art and business, be it artistic strategies and processes, artful leadership, or art thinking for radical innovation. In this crucial phase |
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of history, this book serves to advance the fundamental role of art and humanities, together with science and economics, for sustainable human enterprise. |
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2. |
Record Nr. |
UNINA9910522941203321 |
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Autore |
Monea Cristian |
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Titolo |
Signal Processing and Analysis Techniques for Nuclear Quadrupole Resonance Spectroscopy / / by Cristian Monea, Nicu Bizon |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
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ISBN |
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Edizione |
[1st ed. 2022.] |
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Descrizione fisica |
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1 online resource (190 pages) |
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Collana |
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Signals and Communication Technology, , 1860-4870 |
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Disciplina |
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Soggetti |
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Signal processing |
Spectrum analysis |
Nuclear physics |
Digital and Analog Signal Processing |
Spectroscopy |
Nuclear Physics |
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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 contenuto |
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Introduction -- Methods and equipment for signal acquisition and analysis for the detection of prohibited substances -- Nuclear quadrupole resonance spectroscopy -- Signal processing and analysis techniques applied in nuclear quadrupole resonance -- Modeling of signals used in nuclear quadrupole resonance spectroscopy -- Study of the NQR signal processing and analysis algorithms -- Analysis of nuclear quadrupole resonance response signals -- Development of signal analysis algorithms for NQR detection -- Solutions to improve NQR detection -- Implementation of a signal pre-processing, processing and analysis system for nuclear quadrupole resonance. |
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Sommario/riassunto |
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This book is about improving prohibited substances detection using the nuclear quadrupole resonance (NQR) technique at security |
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checkpoints. The book proposes multiple signal processing and analysis techniques for improving detection of dangerous or contraband substances, such as explosives, narcotics, or toxic substances. Also, several hardware solutions are described and implemented in a custom-designed NQR spectrometer. A new approach to NQR signal detection is introduced using artificial intelligence/deep learning techniques. The book will be useful for for researchers and practitioners in the areas of electrical engineering, signal processing and analysis, applied spectroscopy, as well as for security or laboratory equipment manufacturers. |
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