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Internetul “tuturor lucrurilor”
Internetul “tuturor lucrurilor”. Ce este IoE ?. Evolu ția Internetului. Internetul – “ un loc unde mergem ”?. http://www.submarinecablemap.com/. Tranzi ția către IoE. Într-un timp foarte scurt, Internetul a schimbat modul în care muncim, trăim, ne jucăm și învățăm.
By amena
Internet of Everything (IoE) Market Would Exceed USD 7,000 Billion by 2020
\n\nWorldwide Internet of Everything (IoE) Market is Expected to Grow Substantially in the Future\n
By Carrol
Internet of Everything (IoE) Industry Research Report
Worldwide Internet of Everything (IoE) Market is Expected to Grow Substantially in the Future
By Marsh
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IOE
IOE. INFORMAL OPINION ESSAY. THE BASICS. BASICS. Basically, this is a PRO-CON paper – Choose a side of a serious societal issue Argue for it OR Argue against it ( not both ) LENGTH = 2-3 pages. BASICS. “INFORMAL” as in no research
Implementing IoE
Implementing IoE. Week 1. Assist. Prof. Rassim Suliyev - SDU 2017. What is IoT?. Is a network of physical objects (devices) that are embedded with electronics, sensors, software and network allows objects to be sensed and controlled remotely across existing network infrastructure. History.
Implementing IoE
Implementing IoE. Week 2. Assist. Prof. Rassim Suliyev - SDU 2017. What is Arduino?. IDE. Community. Physical Device. http://www.arduino.cc. Arduino Philosophy and Community. Open Source Physical Computing Platform “open source hardware” open source: free to inspect & modify
IOE/MFG 543
IOE/MFG 543. Chapter 10: Single machine stochastic models Sections 10.1 and 10.4 You may skip Sections 10.2-10.3. Expected weighted completion time 1||E ( S w j C j ). The expected completion times are the sum of the expected processing times WSEPT rule
IOE/MFG 543
IOE/MFG 543. Chapter 14: General purpose procedures for scheduling in practice Section 14.5: Local search – Genetic Algorithms. Genetic Algorithms. Keep a population (or a generation) of solutions Selected members of the population survive and reproduce offspring
IOE/MFG 543
IOE/MFG 543. Chapter 3: Single machine models (Sections 3.3-3.5). Section 3.3: Number of tardy jobs 1|| S U j. Number of tardy jobs Often used as a benchmark for managers (or % of on-time jobs) Some jobs may have to wait really long.
IOE/MFG 543
IOE/MFG 543. Chapter 3: Single machine models (Sections 3.1 and 3.2). Sec. 3.1: The total weighted completion time 1|| S w j C j. Criteria for scheduling Shorter jobs processed first => more jobs finish early The higher the weight the earlier a job should finish
IOE/MFG 543
IOE/MFG 543. Chapter 8: Open shops Section 8.1 (you may skip Sections 8.2 – 8.5). Open shop (Om). m machines, n jobs The routing of each job is up to the scheduler (i.e., it is open) Nondelay schedules
IOE/MFG 543
IOE/MFG 543. Chapter 5: Parallel machine models (Sections 5.1-5.2). Two-step process. Determine which jobs have to be allocated to which machines Determine the sequence of the jobs allocated to each machine In some cases use single machine models. Makespan C max. Single machine models
IOE/MFG 543*
IOE/MFG 543*. Chapter 1: Introduction. *Based in part on material from Izak Duenyas, University of Michigan, Scott Grasman, University of Missouri, Rakesh Nagi, University of Buffalo, and Uwe Schwiegelshohn, CEI University. Scheduling. Allocation of scarce resources to tasks over time