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"Egalitarian Transient Service Composition in Crowdsourced IoT Environm" by Swasti Khurana, Novarun Deb et al.

The Crowdsourced IoT Service (CIS) market is inherently different from other service markets, e.g., web services and cloud. The CIS market is dominated by transient services as both consumers and providers are dynamic in space and time. Consumer requests are usually long-term and demand continuity in service provision. We propose a novel egalitarian transient service composition framework from the CIS market perspective. We apply a Dynamic Bayesian Network to model the dynamic service provision behavior of the providers. The proposed framework transforms the composition of transient services into a multi-objective temporal optimization, i.e., providing continuous services to the maximum number of consumers, and minimizing the consumers' cost of service usages over a long-term period. We incorporate a Pareto-based genetic algorithm to enable the fair distribution of services among the consumers. Experimental results prove the efficiency of the proposed approach in terms of continuo ....

Dynamic Bayesian Network , Crowdsourced Iot Service , Bayes Methods , Crowdsourced Iot Service , Ynamic Service Provision , Nternet Of Things , Ulti Objective Temporal Optimization , Areto Based Genetic Algorithm , Ransient Analysis , Ransient Services ,

"Control technologies of wastewater treatment plants: The state-of-the-" by M. Faisal, Kashem M. Muttaqi et al.

Existing pieces of literature on previous studies advocate the research focus by various researchers to reach the benchmark of energy efficiency of Wastewater Treatment Plants (WWTPs). The driving factors to improve the energy efficiency and mitigate the energy self-sufficiency of WWTP have been identified as the increase in population growth, rising energy costs, and tightening effluent discharge requirements. WWTP economy is directly related to energy consumption and thus affects smart grid economy. There has been limited research on energy self-sufficiency and optimizing the energy demand and cost of WWTP, where the significant contributing factors are in development an optimal pumping system and advanced motor technologies. Moreover, high quality WWTP's effluent depends on the concentration level of biochemical oxygen demand (BOD) and total kjedhal nitrogen (TKN). Even so, WWTPs are always subject to evident nonlinearities and uncertainties, making it difficult to define prope ....

Wastewater Treatment Plants , Energy Efficiency , Pumping System , Wastewater Treatment Plant ,

Model N Management to Participate in Upcoming Investor Conferences

Model N, Inc. , the leader in revenue optimization and compliance, today announced that Model N management will present at the following investor conferences:



18th Annual Needham Technology &. | May 10, 2023 ....

Microchip Technology , Needham Technology Media Conference , Seagate Technology , Modeln Inc , Global Technology , Communications Conference , Jp Morgan , Annual Needham Technology , Annual Global Technology , Model N , Nc Stock Exchange , Press Release , Echnology Modn Us6075251024 ,

MyJournals.org - Science - 'Energies, Vol. 16, Pages 3952: Model-Based Performance Optimization of Thermal Management System of Proton Exchange Membrane Fuel Cell' (Energies)

MyJournals.org - Science - Energies, Vol. 16, Pages 3952: Model-Based Performance Optimization of Thermal Management System of Proton Exchange Membrane Fuel Cell (Energies) ....

Model Based ,