Atjaunināt sīkdatņu piekrišanu

E-grāmata: IoT and Smart Devices for Sustainable Environment

Edited by , Edited by , Edited by
  • Formāts - PDF+DRM
  • Cena: 165,96 €*
  • * ši ir gala cena, t.i., netiek piemērotas nekādas papildus atlaides
  • Ielikt grozā
  • Pievienot vēlmju sarakstam
  • Šī e-grāmata paredzēta tikai personīgai lietošanai. E-grāmatas nav iespējams atgriezt un nauda par iegādātajām e-grāmatām netiek atmaksāta.

DRM restrictions

  • Kopēšana (kopēt/ievietot):

    nav atļauts

  • Drukāšana:

    nav atļauts

  • Lietošana:

    Digitālo tiesību pārvaldība (Digital Rights Management (DRM))
    Izdevējs ir piegādājis šo grāmatu šifrētā veidā, kas nozīmē, ka jums ir jāinstalē bezmaksas programmatūra, lai to atbloķētu un lasītu. Lai lasītu šo e-grāmatu, jums ir jāizveido Adobe ID. Vairāk informācijas šeit. E-grāmatu var lasīt un lejupielādēt līdz 6 ierīcēm (vienam lietotājam ar vienu un to pašu Adobe ID).

    Nepieciešamā programmatūra
    Lai lasītu šo e-grāmatu mobilajā ierīcē (tālrunī vai planšetdatorā), jums būs jāinstalē šī bezmaksas lietotne: PocketBook Reader (iOS / Android)

    Lai lejupielādētu un lasītu šo e-grāmatu datorā vai Mac datorā, jums ir nepieciešamid Adobe Digital Editions (šī ir bezmaksas lietotne, kas īpaši izstrādāta e-grāmatām. Tā nav tas pats, kas Adobe Reader, kas, iespējams, jau ir jūsu datorā.)

    Jūs nevarat lasīt šo e-grāmatu, izmantojot Amazon Kindle.

This book presents research related to smart devices and Internet of Things (IoT) that are intended to advance environmental sustainability. With sustainability as the focus, the topics covered include designing and controlling of smart systems, networking and machine learning, monitoring and controlling the environment, smart metering, authentication and authorization, and software and systems solution. The authors discuss how IoT can aid in sustainability through its implementation of systems interconnecting several objects, whether in the physical or in the virtual worlds. The chapters also present several applications including in smart homes, transportation, and healthcare. The book pertains to researchers, academics, and professionals.

Chapter
1. Detection of some Water Elements Based on IoT: Review Study.-
Chapter
2. Simulation of the Treatment Performance of a Purification Plant
for a Dairy Effluent.
Chapter
3. Study of piroxicam removal from wastewater
by artichoke waste using NemrodW® software: Statistical analysis.
Chapter
4.
Theoretical Study of Thermoelectric Transport Properties of Dicalcium
Silicide and Dicalcium Germanide Compounds.
Chapter
5. Modelling and design
of water treatment processes by biosorption method Using JMP®11 software.-
Chapter
6. Mathematical and statistical study for the wastewater adsorbent
regeneration using the central composite design.
Chapter
7. Application of
artificial neural network modeling for the forecast of Tidili wastewater
treatment plant performance.
Chapter
8. Scheme for adapted speed in a road
bend situation in VANET environment.
Chapter
9. IoT and Reality Mining for
Real-Time Diseases Prediction.
Chapter
10. Smart system for Monitoring and
controlling  of agricultural production by the IoT.
Chapter
11. Simulation
of groundwater quality: Case study of the limestone chain of the Western Rif
of Morocco.
Chapter
12. A Novel Anomaly Network Intrusion Detection System
for Internet of Things Security.
Chapter
13. Precision agriculture:
assessing water status in plants using Unmanned Aerial Vehicle.
Chapter
14.
Smart Healthcare Using Evolutionary Algorithm.
Mourade Azrour received his PhD from Faculty of sciences and Techniques, Moulay Ismail University, Errachidia, Morocco. He received his MS in computer and distributed systems from Faculty of Sciences, Ibn Zouhr University, Agadir, Morocco in 2014. Mourade currently works as computer sciences professor at the Department of Computer Science, Faculty of Sciences and Techniques, Moulay Ismail University. His research interests include Authentication protocol, Computer Security, Internet of things, Smart systems. Mourade is scientific committee member of numerous international conferences. He is also a reviewer of various scientific journals such as International Journal of Cloud Computing and International Journal of Cyber-Security and Digital Forensics (IJCSDF).





 





Azeem Irshad received masters degree from Arid Agriculture University, Rawalpindi, Pakistan. Then he completed his PhD from International Islamic University, Islamabad, Pakistan. He has authored more than 64 international journal and conference publications, including 33 SCI-E journal publications. His research work has been cited over 646 times with 12h-index and 14 i-10-index. He received Top Peer-Reviewer Award from Publons in 2018 with 126 verified reviews. He has served as a reviewer for more than 40 reputed journals including IEEE Systems Journal, IEEE Communications Magazine, IEEE TII, IEEE Consumer Electronics Magazine, IEEE Sensors Journal, IEEE TVT, IEEE IAS, Computer Networks, Information Sciences, CAEE, Cluster Computing, AIHC, JNCA and FGCS, notably. His research interests include strengthening of authenticated key agreements in Cloud-IoT, smart grid, pervasive edge computing, CPS, 5G networks, WSN, Ad hoc Networks, e-health clouds, SIP and multi-server architectures.





Rajasekhar Chaganti worked as a security engineer  at Expediagroup Inc in security incident and response team. Currently, he is actively involved in security research and working towards PhD degreefrom the University of Cumberlands. Prior to joining Expedia, He served as a security analyst in procore technologies and possess knowledge on SIEM, vulnerability management, DNS, and endpoint security. He is holding the industry certifications such as AWS Solution Architect, Certified Ethical Hacker, and CCNA cyberops covering various aspects of security. He was a research assistant at UTSA performing software-defined networking security research and received MS in computer science focusing on computer and Information security from UTSA in 2018. His research interests are in machine learning/AI for security applications, network security, threat detection in IoT, cloud and blockchain environments and social engineering scams. Prior to joining UTSA, he worked as a patent research analyst for Stellarix consulting services in Jaipur, India.  He performed patent research related to patent novelty, invalidation, and landscape projects in electronics and computer science domain focusing on cybersecurity, machine learning, IOT security and cloud computing. He has been a reviewer for IEEE Access, Information and computer security, springer cybersecurity Journal, wireless communications and mobile computing, journal of cybersecurity and mobility, cybersecurity skills journal and volunteered for organizing cybersecurity symposium for smart cities and other security initiatives.