Evaluation of water quality and pollution using multichannel sensors

Sakai, Hiromitsu; Iiyama, Satoru; Toko, Kiyoshi

doi:10.1016/s0925-4005(00)00383-x

Cited by 39 publications

(31 citation statements)

References 3 publications

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“…; x M ðtÞ denote a set of signals that are generated by mixing the source signals. Then, the mixing process can be described in the same way as in Equation (1). We can equally represent the mixing process through a matrix notation, i. yðtÞ ¼ GðxðtÞÞ ð3Þ…”

Section: Blind Source Separation Reviewmentioning

confidence: 99%

“…For instance, this problem arises in water quality control [1,2] and biomedical monitoring [3,4]. A widely used approach to this problem is founded on potentiometric Ion-Selective Electrodes (ISE), in which the transduction mechanism relates the potential difference in an electrochemical system with the concentration of a charged chemical specie.…”

Section: Introductionmentioning

confidence: 99%

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Design of Smart Ion-Selective Electrode Arrays Based on Source Separation through Nonlinear Independent Component Analysis

Duarte

Jutten

2014

Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles

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and available online here Cet article fait partie du dossier thématique ci-dessous publié dans la revue OGST, Vol. 69, n°2, et téléchargeable ici D o s s i e rDOSSIER Edited by/Sous la direction de : L. Duval Advances in Signal Processing and Image Analysis for Physico-Chemical, Analytical Chemistry and Chemical SensingProgrès en traitement des signaux et analyse des images pour les analyses physico-chimiques et la détection chimique Re´sume´-De´veloppement de re´seaux de capteurs chimiques intelligents par des me´thodes de se´paration source fonde´e sur l'analyse de composantes inde´pendantes non line´aire -Les re´seaux de capteurs chimiques fonde´s sur la Se´paration Aveugle de Sources (SAS) fournissent une solution prometteuse pour palier le proble`me d'interfe´rence typique des e´lectrodes ionse´lective. Cette nouvelle approche peut rendre plus simple la phase d'e´talonnage, surtout en e´vitant l'utilisation d'un ensemble important de points pour l'ajustage de la me´thode de traitement des donne´es. Les premiers travaux sur le proble`me n'ont conside´re´que la situation dans laquelle les ions en cours d'analyse ont des valences e´gales. Motive´par cette limitation, le pre´sent travail vise a`de´velopper une technique de SAS qui fonctionne lorsque les ions ont des valences diffe´rentes. Dans ce cas, le mode`le de me´lange re´sultant appartient a`une classe particulie`re de syste`mes non line´aires qui n'ont jamais e´te´e´tudie´s dans la litte´rature de SAS. La solution propose´e est fonde´e sur un re´seau re´current comme syste`me de se´paration et sur une approche de minimisation de l'information mutuelle pour l'estimation des parame`tres. La me´thode peut eˆtre utilise´e pour des analyses off-line. La validite´de notre approche est justifie´e par des tests ou`les parame`tres du mode`le de me´lange ont e´te´obtenus a`partir de donne´es re´elles.Abstract -Design of Smart Ion-Selective Electrode Arrays Based on Source Separation through Nonlinear Independent Component Analysis -The development of chemical sensor arrays based on Blind Source Separation (BSS) provides a promising solution to overcome the interference problem associated with Ion-Selective Electrodes (ISE). The main motivation behind this new approach is to ease the time-demanding calibration stage. While the first works on this problem only considered the case in which the ions under analysis have equal valences, the present work aims at developing a BSS technique that works when the ions have different charges. In this situation, the resulting mixing model belongs to a particular class of nonlinear systems that have never been studied in the BSS literature. In order to tackle this sort of mixing process, we adopted a recurrent network as separating system. Moreover, concerning the BSS learning strategy, we develop a mutual information minimization approach based on the notion of the differential of the mutual information. The method works requires a batch operation, and, thus, can be used to perform off-line analysis. The validity of our approac...

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Section: Blind Source Separation Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Design of Smart Ion-Selective Electrode Arrays Based on Source Separation through Nonlinear Independent Component Analysis

Duarte

Jutten

2014

Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles

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“…k is the output nodes (k: 1-7). j is the hidden nodes (j: [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20]: Because the output function is a Tansig, the output has a value in the range [-1,1] so they must be made to fit among [0,1] using Eq. (2).…”

Section: Implementation Of the Multi-layer Feed-forward Neural Networkmentioning

confidence: 99%

“…These have been used in several applications, including waste water control [5] and food analysis [6].…”

Section: Introductionmentioning

confidence: 99%

A comparison study of pattern recognition algorithms implemented on a microcontroller for use in an electronic tongue for monitoring drinking waters

García‐Breijo

Atkinson

Gil-Sánchez

et al. 2011

Sensors and Actuators A: Physical

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a b s t r a c tA portable electronic tongue has been developed using an array of eighteen thick-film electrodes of different materials forming a multi-electrode array. A microcontroller is used to implement the pattern recognition. The classification of drinking waters is carried out by a Microchip PIC18F4550 microcontroller and is based on neural networks algorithms. These algorithm are initially trained with the multi-electrode array on a Personal Computer (PC) using several samples of waters (still, sparkling and tap) to obtain the optimum architecture of the networks. Once it is trained, the computed data are programmed into the microcontroller, which then gives the water classification directly for new unknown water samples. A comparative study between a Fuzzy ARTMAP, a Multi-Layer Feed-Forward network (MLFF) and a Linear Discriminant Analysis (LDA) has been done in order to obtain the best implementation on a microcontroller.

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“…Xu and Guo proposed countermeasures for solving water disputes, including integrated management of the river basin, enhancement of legal and regulatory system construction, introduction of market mechanism, and application of new theories about water right and water market to solve water disputes (Xu and Guo, 2007) [8]. Hiromitsu Sakai et al researched the response patterns of the sensor to the river water quality and pollution (Sakai et al, 2000) [9]. Dong and Li proposed that the demand for water resource is great with the rapid growing of population and expanding industries, and there is an obvious water conflict in the basin (Dong and Li, 2006) [10].…”

Section: Introductionmentioning

confidence: 99%

Research on the Protection of Vulnerable Groups in Water Pollution Conflicts Based on Binomial Tree Pricing Model

Chen¹,

Cheng²,

Wu³

2015

JWARP

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The interests of vulnerable groups can't be guaranteed due to their weaker capacity and the limited interests demand channels during the water pollution conflicts. The interest protection for the vulnerable people in the water pollution conflicts has attracted attentions of the international scholars. The paper tries to construct the market mechanism which can make the vulnerable people to involve in the emission trading. The vulnerable people can buy American put option in the emission trading market. When the price of the emission runs below the contract price, the vulnerable people can get the benefit through executing the option. When the price of the emission runs above the contract price, the vulnerable people can give up the right. The binomial tree option pricing model can help the vulnerable people to make a decision through the analysis of the worth of the American put option.

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Evaluation of water quality and pollution using multichannel sensors

Cited by 39 publications

References 3 publications

Design of Smart Ion-Selective Electrode Arrays Based on Source Separation through Nonlinear Independent Component Analysis

Design of Smart Ion-Selective Electrode Arrays Based on Source Separation through Nonlinear Independent Component Analysis

A comparison study of pattern recognition algorithms implemented on a microcontroller for use in an electronic tongue for monitoring drinking waters

Research on the Protection of Vulnerable Groups in Water Pollution Conflicts Based on Binomial Tree Pricing Model

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