Validation and reconstruction of flow meter data in the Barcelona water distribution network

12 páginas, 16 figuras, 1 tabla.-- El PDF es la versión pre-print.-- et al.This paper presents a signal analysis methodology to validate (detect) and reconstruct the missing and false data of a large set of flow meters in the telecontrol system of a water distribution network. The proposed methodology is based on two time-scale forecasting models: a daily model based on a ARIMA time series, while the 10-min model is based on distributing the daily flow using a 10-min demand pattern. The demand patterns have been determined using two methods: correlation analysis and an unsupervised fuzzy logic classification, named LAMDA algorithm. Finally, the proposed methodology has been applied to the Barcelona water distribution network, providing very good results.This work is part of a applied research project granted by ADASA and AGBAR companies. The authors also wish to thank the support received by the Research Commission of the Generalitat of Catalunya (Group SAC Ref. 2009 SGR 1491) and by CICYT (Ref. HYFA DPI2008-01996 and WATMAN DPI2009-13744) of Spanish Ministry of Education.Peer reviewe

Validation and reconstruction of flow meter data in the Barcelona water distribution network

12 páginas, 16 figuras, 1 tabla.-- El PDF es la versión pre-print.-- et al.This paper presents a signal analysis methodology to validate (detect) and reconstruct the missing and false data of a large set of flow meters in the telecontrol system of a water distribution network. The proposed methodology is based on two time-scale forecasting models: a daily model based on a ARIMA time series, while the 10-min model is based on distributing the daily flow using a 10-min demand pattern. The demand patterns have been determined using two methods: correlation analysis and an unsupervised fuzzy logic classification, named LAMDA algorithm. Finally, the proposed methodology has been applied to the Barcelona water distribution network, providing very good results.This work is part of a applied research project granted by ADASA and AGBAR companies. The authors also wish to thank the support received by the Research Commission of the Generalitat of Catalunya (Group SAC Ref. 2009 SGR 1491) and by CICYT (Ref. HYFA DPI2008-01996 and WATMAN DPI2009-13744) of Spanish Ministry of Education.Peer reviewe

Validation and reconstruction of flow meter data in the Barcelona water distribution network

This paper presents a signal analysis methodology to validate (detect) and reconstruct the missing and false data of a large set of flow meters in the telecontrol system of a water distribution network. The proposed methodology is based on two time-scale forecasting models: a daily model based on a ARIMA time series, while the 10-min model is based on distributing the daily flow using a 10-min demand pattern. The demand patterns have been determined using two methods: correlation analysis and an unsupervised fuzzy logic classification, named LAMDA algorithm. Finally, the proposed methodology has been applied to the Barcelona water distribution network, providing very good results.Peer ReviewedPostprint (author’s final draft

NASA SBIR abstracts of 1991 phase 1 projects

The objectives of 301 projects placed under contract by the Small Business Innovation Research (SBIR) program of the National Aeronautics and Space Administration (NASA) are described. These projects were selected competitively from among proposals submitted to NASA in response to the 1991 SBIR Program Solicitation. The basic document consists of edited, non-proprietary abstracts of the winning proposals submitted by small businesses. The abstracts are presented under the 15 technical topics within which Phase 1 proposals were solicited. Each project was assigned a sequential identifying number from 001 to 301, in order of its appearance in the body of the report. Appendixes to provide additional information about the SBIR program and permit cross-reference of the 1991 Phase 1 projects by company name, location by state, principal investigator, NASA Field Center responsible for management of each project, and NASA contract number are included

Operator State Estimation for Adaptive Aiding in Uninhabited Combat Air Vehicles

This research demonstrated the first closed-loop implementation of adaptive automation using operator functional state in an operationally relevant environment. In the Uninhabited Combat Air Vehicle (UCAV) environment, operators can become cognitively overloaded and their performance may decrease during mission critical events. This research demonstrates an unprecedented closed-loop system, one that adaptively aids UCAV operators based on their cognitive functional state A series of experiments were conducted to 1) determine the best classifiers for estimating operator functional state, 2) determine if physiological measures can be used to develop multiple cognitive models based on information processing demands and task type, 3) determine the salient psychophysiological measures in operator functional state, and 4) demonstrate the benefits of intelligent adaptive aiding using operator functional state. Aiding the operator actually improved performance and increased mission effectiveness by 67%

Investigation into biological and biomimetic transmembrane systems

Membranes are essential components of living organisms, which serve as effective barriers that separate distinct chemical environments on either side of the membrane. Chemists have designed biological and synthetic systems to functionalise membrane-embedded systems for a variety of applications such as sensing, sequencing, reaction mechanistic studies, and therapeutics. The continuous interest in functionalising membranes, combined with incomplete understanding of the underlying factors determining their mechanisms inspired the investigations undertaken in this work. This Thesis employs both experimental and computational methods to explore two distinct applications for sequencing and therapeutics, respectively. (1) Engineered biological nanopores have found great success in DNA sequencing. The Bayley group previously reported a molecular hopper, which makes sub-nanometer steps by thiol-disulfide interchange along a track with cysteine footholds within a protein nanopore. In Chapter 2, the hopping rate was optimized with a view towards rapid enzymeless biopolymer characterization during translocation within nanopores. I first used a nanopore approach to systematically profile the reactivity of individual cysteine footholds along an engineered protein track at the single-molecule level. Using this approach, I calculated the pKa of cysteine thiols and the pH-independent rate constants for the reaction between thiolates and a disulfide molecule. This reactivity profile guided site-specific mutagenesis. Together with the optimization of experimental conditions, the overall stepping rate of a DNA cargo along a five-cysteine track was accelerated. This work extends the practical application of this enzymeless system as a sequencing method for biopolymers beyond DNA. (2) Synthetic anion transporters have attracted significant attention as promising therapeutics for ion channel diseases. In Chapter 3, I use computational modelling to investigate the chloride binding and transmembrane transport mechanisms of E-/Z-switchable synthetic transporters. Using a model system,I developed a workflow to construct full energy profiles for the transmembrane transport process. These results revealed the importance of pre-organization of the Z-isomer and the balance between the energy barrier of transport and the solubility of the transporter. Additionally, in Chapter 4, I present a predictive machine-learning (ML) approach for estimating the chloride transport activity of a variety of synthetic chloride transporters. The ML models, employing both classification and regression frameworks, exhibited remarkable performance across a diverse range of systems. Moreover, they offered insights crucial for future design efforts, e.g., identifying key structural features and experimental conditions that influence the observed transport activity. Overall, this work bridges biological and molecular design, computational modelling and data-driven approaches to advance the development of two applications to functionalise membranes for sequencing and therapeutics. It provides interpretable molecular models as well as structure-activity relationships that will aid hypothesis generation and contribute to synthetic advances in both fields

Brand search

Consumers frequently buy the products they find most easily. This has forced manufacturers and retailers to invest in package design, shelf layouts, and expensive advertising campaigns to facilitate findability of their products. Surprisingly, there is no research in marketing that investigates how consumers localize products, which we call brand search. This dissertation investigates the brand search process and develops a statistical model that describes the eye movements of consumers while they are searching for a specific product. The proposed model uncovers the search strategies of consumers and suggests which marketing tools manufacturers and retailers may use to influence this process.