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[null,"1.","Record Nr.",null,"UNINA9910484231703321"]
[null,null,"Titolo",null,"Advanced Computing and Systems for Security : Volume Ten / / edited by Rituparna Chaki, Agostino Cortesi, Khalid Saeed, Nabendu Chaki"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2020"]
[null,null,"ISBN",null,"981-13-8969-1"]
[null,null,"Edizione",null,"[1st ed. 2020.]"]
[null,null,"Descrizione fisica",null,"1 online resource (X, 167 p. 65 illus., 29 illus. in color.)"]
[null,null,"Collana",null,"Advances in Intelligent Systems and Computing, , 2194-5365 ; ; 996"]
[null,null,"Disciplina",null,"006.3"]
[null,null,"Soggetti",null,"Computational intelligence"]
[{"$nulls":4},"Signal processing"]
[{"$nulls":4},"Data protection"]
[{"$nulls":4},"Image processing - Digital techniques"]
[{"$nulls":4},"Computer vision"]
[{"$nulls":4},"Big data"]
[{"$nulls":4},"Computational Intelligence"]
[{"$nulls":4},"Signal, Speech and Image Processing"]
[{"$nulls":4},"Data and Information Security"]
[{"$nulls":4},"Computer Imaging, Vision, Pattern Recognition and Graphics"]
[{"$nulls":4},"Big Data"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Part 1: Security Systems -- Chapter 1. A Lightweight Security Protocol for IoT using Merkle Hash Tree and Chaotic Cryptography -- Chapter 2. A Quantitative Methodology for Business Process-based Data Privacy Risk Computation -- Chapter 3. Architectural Design Based Compliance Verification for IoT Enabled Secure Advanced Metering Infrastructure in Smart Grid -- Chapter 4. A Novel Approach to Human Recognition Based on Finger Geometry -- Chapter 5. Biometric Fusion System Using Face and Voice Recognition -- Part 2: Pattern Recognition and Imaging -- Chapter 6. A Multi-Class Image Classifier for Assisting in Tumor Detection of Brain Using Deep Convolution Neural Network -- Chapter 7. Determining Perceptual Similarity Among Readers Based on Eyegaze Dynamics -- Part 3: High Performance Computing -- Chapter 8. 2D Qubit Placement of Quantum Circuits Using LONGPATH -- Chapter 9. Debugging Errors in Microfluidic Executions -- Chapter 10. Effect of Volumetric Split-Errors on Reactant-Concentration During Sample "]
[{"$nulls":4},"Preparation with Microfluidic Biochips."]
[null,null,null,"Sommario/riassunto","This book features extended versions of selected papers that were presented and discussed at the 6th International Doctoral Symposium on Applied Computation and Security Systems (ACSS 2019) held in Kolkata, India on 12–13 March, 2019. Organized by the Departments of Computer Science & Engineering and A. K. Choudhury School of Information Technology, both from the University of Calcutta, the symposium’s international partners were Ca' Foscari University of Venice, Italy and Bialystok University of Technology, Poland. The chapters cover topics such as biometrics, image processing, pattern recognition, algorithms, cloud computing, wireless sensor networks and security systems, reflecting the various symposium sessions."]
[null,"2.","Record Nr.",null,"UNINA9910566460803321"]
[null,null,"Autore",null,"Li Yongbo"]
[null,null,"Titolo",null,"Information Theory and Its Application in Machine Condition Monitoring"]
[null,null,"Pubbl/distr/stampa",null,"Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022"]
[null,null,"Descrizione fisica",null,"1 online resource (194 p.)"]
[null,null,"Soggetti",null,"History of engineering and technology"]
[{"$nulls":4},"Technology: general issues"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Sommario/riassunto","Condition monitoring of machinery is one of the most important aspects of many modern industries. With the rapid advancement of science and technology, machines are becoming increasingly complex. Moreover, an exponential increase of demand is leading an increasing requirement of machine output. As a result, in most modern industries, machines have to work for 24 hours a day. All these factors are leading to the deterioration of machine health in a higher rate than before. Breakdown of the key components of a machine such as bearing, gearbox or rollers can cause a catastrophic effect both in terms of financial and human costs. In this perspective, it is important not only to detect the fault at its earliest point of inception but necessary to design the overall monitoring process, such as fault classification, fault severity assessment and remaining useful life (RUL) prediction for better planning of the maintenance schedule. Information theory is one of the pioneer contributions of modern science that has evolved into various forms and algorithms over time. Due to its ability to address the non-linearity and non-stationarity of machine health deterioration, it has become a popular choice among researchers. Information theory is an effective technique for extracting features of machines under different health conditions. In this context, this book discusses the potential applications, research results and latest developments of  information theory-based condition monitoring of machineries."]