作者:
Ayman M. KaramTaous Meriem Laleg-KiratiComputer
Electrical and Mathematical Science and Engineering division (CEMSE) at King Abdullah University of Science and Technology (KAUST) Thuwal KSA
This paper presents a real time optimization scheme for a solar powered direct contact membrane distillation (DCMD) water desalination system. The sun and weather conditions vary and are inconsistent throughout the da...
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ISBN:
(纸本)9781479977970
This paper presents a real time optimization scheme for a solar powered direct contact membrane distillation (DCMD) water desalination system. The sun and weather conditions vary and are inconsistent throughout the day. Therefore, the solar powered DCMD feed inlet temperature is never constant, which influences the distilled water flux. The problem of DCMD process optimization has not been studied enough. In this work, the response of the process under various feed inlet temperatures is investigated, which demonstrates the need for an optimal controller. To address this issue, we propose a multivariable Newton-based extremum seeking controller which optimizes the inlet feed and permeate mass flow rates as the feed inlet temperature varies. Results are presented and discussed for a realistic temperature profile.
First results of a cosmic-ray electron and positron spectrum from 10 GeV to 3 TeV is presented based upon observations with the CALET instrument on the International Space Station starting in October, 2015. Nearly a h...
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First results of a cosmic-ray electron and positron spectrum from 10 GeV to 3 TeV is presented based upon observations with the CALET instrument on the International Space Station starting in October, 2015. Nearly a half million electron and positron events are included in the analysis. CALET is an all-calorimetric instrument with total vertical thickness of 30 X0 and a fine imaging capability designed to achieve a large proton rejection and excellent energy resolution well into the TeV energy region. The observed energy spectrum over 30 GeV can be fit with a single power law with a spectral index of −3.152±0.016 (stat+syst). Possible structure observed above 100 GeV requires further investigation with increased statistics and refined data analysis.
作者:
Mohammed Y. AlnassarYurii P. IvanovJürgen KoselSensing
Magnetism and Microsystems Lab Computer Electrical and Mathematical Science and Engineering Division King Abdullah University of Science and Technology Thuwal 23955-6900 Saudi Arabia
Herein we report the fabrication of an advanced sensor for the detection of hydrogen sulfide (H 2 S) at room temperature, using thin films of rare‐earth metal (RE)‐based metal–organic framework (MOF) with underlyin...
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Herein we report the fabrication of an advanced sensor for the detection of hydrogen sulfide (H 2 S) at room temperature, using thin films of rare‐earth metal (RE)‐based metal–organic framework (MOF) with underlying fcu topology. This unique MOF‐based sensor is made via the in situ growth of fumarate‐based fcu ‐MOF (fum‐ fcu ‐MOF) thin film on a capacitive interdigitated electrode. The sensor showed a remarkable detection sensitivity for H 2 S at concentrations down to 100 ppb, with the lower detection limit around 5 ppb. The fum‐ fcu ‐MOF sensor exhibits a highly desirable detection selectivity towards H 2 S vs. CH 4 , NO 2 , H 2 , and C 7 H 8 as well as an outstanding H 2 S sensing stability as compared to other reported MOFs.
In this work, we present a transparent and relatively simple method of calculating the economic viability of a given metrology technique using a case study in crystalline silicon photovoltaic (PV) cell manufacturing. ...
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In this work, we present a transparent and relatively simple method of calculating the economic viability of a given metrology technique using a case study in crystalline silicon photovoltaic (PV) cell manufacturing. The case study used here is the in-line measurement of implied open-circuit voltage of wafers following the deposition of front and rear side passivation films, which occurs before screen-printing and firing when manufacturing rear passivated PV cells. Cost-benefit calculations are performed using a new freeware tool on the PV Lighthouse website. Here, we show the wafer rejection threshold point selected and the cost of the metrology have a strong influence on the ultimate profitability.
Mobile robots can provide a wide range of value-added services to wireless sensor networks during their operational lifetime. One of them has to do with the replacement of damaged sensors with other functional, passiv...
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ISBN:
(纸本)9781479974931
Mobile robots can provide a wide range of value-added services to wireless sensor networks during their operational lifetime. One of them has to do with the replacement of damaged sensors with other functional, passive ones. This scenario has been recently studied as the “Robot-Assisted Sensor Relocation” (RASR) problem. RASR solutions traditionally focus only on one aspect of the problem: minimizing the total distance traveled by the *** existing centralized solutions do not take into account the reliability of the passive nodes that are selected as substitutes for the damaged nodes, for instance, their current battery level. With this in mind, we propose a multi-objective optimization (MOO) formulation of the problem, named Reliable Robot-Assisted Sensor Relocation (RRASR), where we consider two more objectives in addition to the trajectory length. These objectives result from the fact that a given passive sensor selected to replace a damaged sensor in the region may not be in perfect condition and that another passive sensor may be a better option. Due to the nature of MOO problems, we must present a diverse set of solutions that exhibit a trade-off among the different decision objectives to a network manager so they may take appropriate action. We evaluate the performance of four state-of-the-art evolutionary MOO algorithms with sensor networks of varying sizes and inflicted damage levels. To the best of our knowledge, this is the first time RASR is approached from an MOO angle.
Multi-transmitter wireless power transfer (WPT) systems have advantages over single-transmitter systems, most importantly higher overall power transfer efficiency. It is shown that this leads to such WPT systems being...
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Multi-transmitter wireless power transfer (WPT) systems have advantages over single-transmitter systems, most importantly higher overall power transfer efficiency. It is shown that this leads to such WPT systems being able to maintain the same transferred power at lower magnetic field strengths and greater degrees of freedom for receiver positions when compared to single-transmitter systems.
Decision support systems (DSSs) are playing an increasingly important role in the characterization of suspicious activities in an area of interest given their proved ability to turn vast amounts of raw data into actio...
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Decision support systems (DSSs) are playing an increasingly important role in the characterization of suspicious activities in an area of interest given their proved ability to turn vast amounts of raw data into actionable intelligence that is easy to understand by human operators. Although risk management is an integral component of the decision making process that directly contributes towards improved situational awareness and response assessment, an active end-to-end consideration of the underlying risk sources in the environment is still an important feature that most DSSs currently lack. Additionally, deciding on an appropriate course of action (COA) to mitigate emerging threats in the system is a challenging task even for domain experts given that (1) the number of potential responses to analyze could be overwhelmingly large; (2) seldom are those responses judged in terms of the risks associated with their enactment and (3) assessing the effectiveness of the potential responses in the real world is usually time-consuming and simulation-driven. In this paper, we formalize the adaptation of a recently proposed Risk Management Framework to account for behavioral intents associated with the objects of interest (OOIs) in the monitoring environment and their link to automatic response generation. The intent of the objects is inferred from high-level cognitive and behavioral knowledge in the form of anomalies. When an OOI has crossed a permissible risk threshold, we demonstrate how responses to that situation can be automatically elicited by the COA recommendation module of a risk-aware DSS. Multicriteria decision analysis (MCDA) is used to judge a diverse set of plausible responses according to different operational objectives. We illustrate the application of the proposed framework in the context of maritime surveillance operations by triggering a corporate search for a missing vessel. To the best of our knowledge, this is the first time that risk features are synt
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