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1. Remembrance of things past

   https://doi.org/10.1007/JHEP08(2023)124  

   Woodard, R P; Yesilyurt, B (August 2023, Journal of High Energy Physics)

   A<sc>bstract</sc> Nonlinear sigma models on de Sitter background have proved a useful prototype for quantum gravity in summing the large logarithms which arise from loop corrections. We consider a model whose evolution is described, at leading logarithm order, by the trace of the coincident, doubly differentiated scalar propagator. An analytic approximation for this quantity on an arbitrary expansion history is applied to generalize the resummed de Sitter result to any cosmological background which has experienced primordial inflation. In addition to analytic expressions, we present explicit numerical results for the evolution in a plausible expansion history. The large scales of primordial inflation are transmitted to late times. 

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2. Protocols Over Things: A Decentralized Programming Model for the Internet of Things

   https://doi.org/10.1109/MC.2020.3023887  

   Christie V, Samuel H.; Smirnova, Daria; Chopra, Amit K.; Singh, Munindar P. (December 2020, Computer)
3. The Internet of Batteryless Things

   https://doi.org/10.1145/3624718  

   Ahmed, Saad; Islam, Bashima; Yildirim, Kasim Sinan; Zimmerling, Marco; Pawełczak, Przemysław; Alizai, Muhammad Hamad; Lucia, Brandon; Mottola, Luca; Sorber, Jacob; Hester, Josiah (March 2024, Communications of the ACM)

   Batteryless, energy-harvesting systems could reshape the Internet of Things into a more sustainable societal infrastructure. 

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4. UAV-enabled Human Internet of Things

   https://doi.org/10.1109/DCOSS49796.2020.00056  

   Rael, Kelly; Fragkos, Georgios; Plusquellic, Jim; Tsiropoulou, Eirini Eleni (May 2020, 2020 16th International Conference on Distributed Computing in Sensor Systems (DCOSS))

   null (Ed.)

   In this paper, an Unmanned Aerial Vehicles (UAVs) - enabled human Internet of Things (IoT) architecture is introduced to enable the rescue operations in public safety systems (PSSs). Initially, the first responders select in an autonomous manner the disaster area that they will support by considering the dynamic socio-physical changes of the surrounding environment and following a set of gradient ascent reinforcement learning algorithms. Then, the victims create coalitions among each other and the first responders at each disaster area based on the expected- maximization approach. Finally, the first responders select the UAVs that communicate with the Emergency Control Center (ECC), to which they will report the collected data from the disaster areas by adopting a set of log-linear reinforcement learning algorithms. The overall distributed UAV-enabled human Internet of Things architecture is evaluated via detailed numerical results that highlight its key operational features and the performance benefits of the proposed framework. 

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5. Securing Real-Time Internet-of-Things

   https://doi.org/10.3390/s18124356  

   Chen, Chien-Ying; Hasan, Monowar; Mohan, Sibin (December 2018, Sensors)

   Modern embedded and cyber-physical systems are ubiquitous. Many critical cyber-physical systems have real-time requirements (e.g., avionics, automobiles, power grids, manufacturing systems, industrial control systems, etc.). Recent developments and new functionality require real-time embedded devices to be connected to the Internet. This gives rise to the real-time Internet-of-things (RT-IoT) that promises a better user experience through stronger connectivity and efficient use of next-generation embedded devices. However, RT-IoT are also increasingly becoming targets for cyber-attacks, which is exacerbated by this increased connectivity. This paper gives an introduction to RT-IoT systems, an outlook of current approaches and possible research challenges towards secure RT-IoT frameworks. 

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