scholarly journals ONLINE MONITORING OF SOFT SENSOR PERFORMANCE: A CASE STUDY OF CEMENT CLINKER QUALITY PARAMETERS SOFT SENSOR

2016 ◽  
Vol 05 (07) ◽  
pp. 522-527
Author(s):  
Nsidibe-Obong Ekpe Moses .
Keyword(s):  
Online Monitoring ◽  
Quality Parameters ◽  
Soft Sensor ◽  
Cement Clinker ◽  
Sensor Performance

scholarly journals A cost-effective IoT strategy for remote deployment of soft sensors – a case study on implementing a soft sensor in a multistage MBBR plant

2020 ◽  
Vol 81 (8) ◽  
pp. 1733-1739 ◽  
Author(s):  
A. M. Nair ◽  
A. Hykkerud ◽  
H. Ratnaweera
Keyword(s):  
Open Source ◽  
Cost Effective ◽  
Data Access ◽  
Quality Parameters ◽  
Soft Sensor ◽  
Biofilm Reactor ◽  
Remote Access ◽  
Soft Sensors ◽  
Set Up

Abstract Model-based soft sensors can enhance online monitoring in wastewater treatment processes. These soft sensor scripts are executed either locally on a programmable logic controller (PLC) or remotely on a system with data-access over the internet. This work presents a cost-effective, flexible, open source IoT solution for remote deployment of a soft sensing algorithm. The system uses low-priced hardware and open-source programming language to set up the communication and remote-access system. Advantages of the new IoT architecture are demonstrated through a case study for remote deployment of an Extended Kalman Filter (EKF) to estimate additional water quality parameters in a multistage moving bed biofilm reactor (MBBR) plant. The soft-sensor results are successfully validated against standardised laboratory measurements to prove their ability to provide real-time estimations.

Statistical analysis and physicochemical characteristics of groundwater ‎quality parameters: a case study

2021 ◽  
pp. 1-22
Author(s):  
Yaqoob Iqbal Memon ◽  
Sundus Saeed Qureshi ◽  
Imdad Ali Kandhar ◽  
Naeem Ahmed Qureshi ◽  
Sumbul Saeed ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Groundwater Quality ◽  
Physicochemical Characteristics ◽  
Quality Parameters

Synthesizing labeled data to enhance soft sensor performance in data-scarce regions

2021 ◽  
Vol 115 ◽  
pp. 104903
Author(s):  
Yuting Lyu ◽  
Junghui Chen ◽  
Zhihuan Song
Keyword(s):  
Soft Sensor ◽  
Sensor Performance

Improving effectiveness of mitigation measures in EIA follow-up

2015 ◽  
Vol 26 (4) ◽  
pp. 518-537 ◽  
Author(s):  
Amarilis Lucia Casteli Figueiredo Gallardo ◽  
Caio Pompeu Cavalhieri ◽  
Sofia Julia Alves Macedo Campos ◽  
Omar Yazbek Bitar
Keyword(s):  
Water Quality ◽  
Quality Control ◽  
Quality Parameters ◽  
Mitigation Measures ◽  
Water Quality Control ◽  
Content Type ◽  
Study Approach ◽  
Phase Water

Purpose – The purpose of this paper is to investigate the effectiveness of mitigation measures adopted in a scheme of EIA follow-up by examining their performance in reducing geo-environmental impacts in earthwork activities during the Rodoanel southern section construction in São Paulo, Brazil. This environment is fragile in terms of affected watersheds because the highway crosses two important reservoirs that supply most of the metropolitan water demand. Therefore, this research also aims at promoting water quality control. Design/methodology/approach – This study combines complementary sources as evidences in the literature and field checks, tests and monitoring. The methodology was supported by criteria for evaluating the effectiveness of mitigation measures in the case study approach. Findings – The EIA follow-up activities contributed to the maintenance of environmental conditions in the majority of the control points at the end of the construction phase. Water quality parameters were not statistically different before and during the construction of the highway. The choice and arrangement of mitigation measures were successful in ensuring water quality control by avoiding siltation. Practical implications – A robust scheme for designing and evaluating mitigation measures contributes to the improvement of their effectiveness and is pivotal to the success of the EIA follow-up. Originality/value – This case study serves as an example for extending EIA follow-up practice in special to the improvement of the design and evaluation of mitigation measures in similar contexts.

scholarly journals Characterization and Neural Modeling of a Microwave Gas Sensor for Oxygen Detection Aimed at Healthcare Applications

Sensors ◽  
2020 ◽  
Vol 20 (24) ◽  
pp. 7150
Author(s):  
Zlatica Marinković ◽  
Giovanni Gugliandolo ◽  
Mariangela Latino ◽  
Giuseppe Campobello ◽  
Giovanni Crupi ◽  
...  
Keyword(s):  
Gas Sensing ◽  
Test Chamber ◽  
Healthcare Applications ◽  
Interdigital Capacitor ◽  
Sensor Performance ◽  
Oxygen Detection ◽  
Binary Gas Mixture ◽  
Gas Sensing Properties ◽  
Artificial Neural Network Ann

The studied sensor consists of a microstrip interdigital capacitor covered by a gas sensing layer made of titanium dioxide (TiO2). To explore the gas sensing properties of the developed sensor, oxygen detection is considered as a case study. The sensor is electrically characterized using the complex scattering parameters measured with a vector network analyzer (VNA). The experimental investigation is performed over a frequency range of 1.5 GHz to 2.9 GHz by placing the sensor inside a polytetrafluoroethylene (PTFE) test chamber with a binary gas mixture composed of oxygen and nitrogen. The frequency-dependent response of the sensor is investigated in detail and further modelled using an artificial neural network (ANN) approach. The proposed modelling procedure allows mimicking the measured sensor performance over the whole range of oxygen concentration, going from 0% to 100%, and predicting the behavior of the resonant frequencies that can be used as sensing parameters.

THE ASSESSMENT OF THE VARIATION OF PHYSICO-CHEMICAL SOURCES FOR DRINKING WATER QUALITY USING CHEMOMETRICS: A CASE STUDY AT WATER TREATMENT PLANTS IN KLANG VALLEY

2016 ◽  
Vol 78 (11) ◽  
Author(s):  
Manutha Appa Rwoo ◽  
Hafizan Juahir ◽  
Nor Malisa Roslan ◽  
Mohd Ekhwan Toriman ◽  
Azizah Endut ◽  
...  
Keyword(s):  
Water Quality ◽  
Heavy Metal ◽  
Drinking Water ◽  
Quality Parameters ◽  
Drinking Water Quality ◽  
Water Treatment Plants ◽  
Physico Chemical ◽  
Drinking Water Samples ◽  
Source Of Pollution

This case study characterizes the drinking water quality by using the multivariate technique. The spatial variation of the physico-chemical and heavy metals parameters toxicity with the drinking water quality based on 28 water treatment plants in Selangor, Malaysia from 2009 to 2012 was evaluated. The objectives of this study are to analyze the physio-chemical activities and heavy metals activities in the collected drinking water samples from the treatment plants, and to detect the source of pollution for the most revealing parameters. The discriminant analysis (DA) and the principal component analysis (PCA) are the chemometric techniques used to investigate the spatial variation of the most significant physico-chemical and heavy metal parameters of the drinking water samples. The classification matrix accuracy for standard mode of DA, forward stepwise and backward stepwise for the physico-chemical and heavy metal parameters are excellent. PCA highlighted 13 significant parameters out of 18 physico-chemical water quality parameters and 14 significant parameters out of 16 heavy metal parameters. PCA was carried out to identify the origin and source of pollution of each water quality parameters. For that reason, this study proves that chemometric method is the principle way to explain the characteristic of the drinking water quality.

scholarly journals Statistical Methods for Quality Equivalence of Topical Products. 0.5 mg/g Betamethasone Ointment as a Case-Study

Pharmaceutics ◽  
2020 ◽  
Vol 12 (4) ◽  
pp. 318 ◽  
Author(s):  
Jordi Ocaña ◽  
Toni Monleón-Getino ◽  
Virginia Merino ◽  
Daniel Peris ◽  
Lluís Soler
Keyword(s):  
Statistical Analysis ◽  
Confidence Interval ◽  
Physical Properties ◽  
Reference Product ◽  
Quality Parameters ◽  
European Medicines Agency ◽  
Draft Guideline ◽  
Equivalence Test ◽  
Test Product

This study examines the statistical implications, and their possible implementation, of the “Draft guideline on quality and equivalence of topical products” issued by the European Medicines Agency in 2018, with particular focus on the section devoted to quality equivalence of physical properties. A new confidence interval to conduct the quality equivalence test and a way to cope with the multiplicity of quality parameters are presented and discussed. As an example, the results and the statistical analysis of a study on betamethasone 0.5 mg/g ointment are presented. It is suggested that the equivalence limits proposed in the draft guideline are overly strict: It is as difficult to declare quality equivalence between two packaging formats of the same reference product as to declare quality equivalence between the reference and the test product.

Comparing three body condition indices in amphibians: a case study of yellow-bellied toad Bombina variegata

2010 ◽  
Vol 31 (4) ◽  
pp. 558-562 ◽  
Author(s):  
Rodica Plăiaşu ◽  
Tibor Hartel ◽  
Raluca Ioana Băncilă ◽  
Dan Cogălniceanu ◽  
Joost Smets
Keyword(s):  
Body Size ◽  
Body Condition ◽  
Condition Index ◽  
Quality Parameters ◽  
Direct Measurements ◽  
Wide Range ◽  
Bombina Variegata ◽  
Condition Indices ◽  
Three Body

AbstractBody condition is important because it is correlated with population and habitat quality parameters. Since the direct measurements are either lethal or unreliable, a wide range of non-lethal body condition indices has been proposed. The aim of our study was to apply and compare three body condition indices (Fulton's index, relative body condition mass index and residual index) using body size indicator – body mass data for 24 populations of the yellow bellied toad (Bombina variegata). The condition index should be independent of body size indicator, in this case snout vent length (SVL). Therefore we tested all three indices for the statistical independence of SVL and for the normality of distribution. Fulton's index violated the independence assumption, whereas the relative body condition mass index did not have a normal distribution. Residual index was found both independent of SVL and normally distributed. Moreover, the residual index highlighted biological significant differences on the basis of altitude and season. Our results recommend the residual index as a useful tool in amphibian monitoring and conservation.

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