scholarly journals Online fluorescence spectroscopy for the real-time evaluation of the microbial quality of drinking water

2018 ◽  
Vol 137 ◽  
pp. 301-309 ◽  
Author(s):  
J.P.R. Sorensen ◽  
A. Vivanco ◽  
M.J. Ascott ◽  
D.C. Gooddy ◽  
D.J. Lapworth ◽  
...  
2017 ◽  
Vol 3 (1) ◽  
pp. 28
Author(s):  
Selviana Selviana ◽  
Elly Trisnawati ◽  
Sitti Munawarah

Abstract: Factors Related To Occurrence Of Diarrhea In 4-6 Year Children. Diarrhea cases in 4-6-year-old children in Desa Kalimas raised annually, from 10% in 2013 to 33% in 2014, and 35% in 2015. This study aimed at factors related to diarrhea cases in 4-6-year-old children in Desa Kalimas Kecamatan Sungai Kakap. Cross Sectional approach was used forty one sample participated in this study. They were selected by using proportional random sampling technique. The data analysis using chi-square test with a 95% confidence level. The study revealed significant correlation of hand washing (p = 0,043 ; PR = 2,175), microbial quality of drinking water storage (p = 0,016 ; PR = 1,462), availability of family latrine (p = 0,003 ; PR = 3,242), and diarrhea cases. There was no significant correlation between diarrhea cases are the habit of boiling water with the microbial quality of drinking water, the source of water for washing cutlery, and microbial of drinking water, (p > 0,05). It is hoped health authorized staffs in Desa Kalimas apply community- based total sanitation, enhance clean and healthy behaviour, and socialize healthy drinking water storage based on Regulation of Minister of Healthy No. 3/2014.Abstrak: Faktor-Faktor Yang Berhubungan Dengan Kejadian Diare Pada Anak Usia 4-6 Tahun. Angka kejadian diare pada anak usia 4-6 tahun di Desa Kalimas mengalami peningkatan setiap tahunnya. Tahun 2013 kejadian diare sebesar 10%, tahun 2014 sebesar 33% dan 35% pada tahun 2015. Penelitian ini bertujuan untuk mengetahui faktor-faktor yang berhubungan dengan kejadian diare pada anak usia 4-6 tahun di Desa Kalimas Kecamatan Sungai Kakap. Penelitian ini menggunakan desain cross sectional dengan jumlah sampel  45 orang yang diambil menggunakan teknik proportional random sampling. Uji statistik yang digunakan uji chi-square dengan tingkat kepercayaan 95%. Hasil penelitian menunjukkan bahwa terdapat hubungan yang bermakna antara kebiasaan mencuci tangan dengan diare (p = 0,043; PR = 2,175), penyimpanan air minum dengan kualitas mikrobiologi air minum (p = 0,016; PR = 1,462), ketersediaan jamban keluarga dengan diare (p = 0,003; PR = 3,242). Variabel yang tidak berhubungan yaitu kebiasaan memasak air dengan kualitas mikrobiologi air minum, sumber air untuk mencuci alat makan/minum dan kualitas mikrobiologi air minum dengan diare (p ≥ 0,005). Disarankan agar di Desa Kalimas bisa diterapkan program STBM dan peningkatan penerapan PHBS pada masyarakat Desa Kalimas serta mensosialisasikan cara penyimpanan air minum yang baik sesuai dengan Permenkes No 3 tahun 2014.


2021 ◽  
Author(s):  
S. H. Al Gharbi ◽  
A. A. Al-Majed ◽  
A. Abdulraheem ◽  
S. Patil ◽  
S. M. Elkatatny

Abstract Due to high demand for energy, oil and gas companies started to drill wells in remote areas and unconventional environments. This raised the complexity of drilling operations, which were already challenging and complex. To adapt, drilling companies expanded their use of the real-time operation center (RTOC) concept, in which real-time drilling data are transmitted from remote sites to companies’ headquarters. In RTOC, groups of subject matter experts monitor the drilling live and provide real-time advice to improve operations. With the increase of drilling operations, processing the volume of generated data is beyond a human's capability, limiting the RTOC impact on certain components of drilling operations. To overcome this limitation, artificial intelligence and machine learning (AI/ML) technologies were introduced to monitor and analyze the real-time drilling data, discover hidden patterns, and provide fast decision-support responses. AI/ML technologies are data-driven technologies, and their quality relies on the quality of the input data: if the quality of the input data is good, the generated output will be good; if not, the generated output will be bad. Unfortunately, due to the harsh environments of drilling sites and the transmission setups, not all of the drilling data is good, which negatively affects the AI/ML results. The objective of this paper is to utilize AI/ML technologies to improve the quality of real-time drilling data. The paper fed a large real-time drilling dataset, consisting of over 150,000 raw data points, into Artificial Neural Network (ANN), Support Vector Machine (SVM) and Decision Tree (DT) models. The models were trained on the valid and not-valid datapoints. The confusion matrix was used to evaluate the different AI/ML models including different internal architectures. Despite the slowness of ANN, it achieved the best result with an accuracy of 78%, compared to 73% and 41% for DT and SVM, respectively. The paper concludes by presenting a process for using AI technology to improve real-time drilling data quality. To the author's knowledge based on literature in the public domain, this paper is one of the first to compare the use of multiple AI/ML techniques for quality improvement of real-time drilling data. The paper provides a guide for improving the quality of real-time drilling data.


In the real-time design, conceptual solving any new task is impossible without analytical reasoning of designers who interact with natural experience and its models among which important place occupies models of precedents. Moreover, the work with new tasks is a source of such useful models. The quality of applied reasoning essentially depends on the constructive use of appropriate language and its effective models. In the version of conceptual activity described in this book, the use of language means is realized as an ontological support of design thinking that is aimed at solving a new task and creating a model of corresponding precedent. The ontological support provides controlled using the lexis, extracting the questions for managing the analysis, revealing the cause-and effects regularities and achieving the sufficient understanding. Designers fulfill all these actions in interactions with the project ontology that can be developed by manual or programmed way in work with the task.


2010 ◽  
Vol 14 (1) ◽  
pp. 59-63 ◽  
Author(s):  
M.B. Miranzadeh ◽  
M. Heidari ◽  
A.R. Mesdaghini ◽  
M. Younesian

2018 ◽  
Vol 16 (2) ◽  
pp. 321-328
Author(s):  
Faissal Aziz ◽  
Naaila Ouazzani ◽  
Laila Mandi ◽  
Aziz Assaad ◽  
Steve Pontvianne ◽  
...  

Abstract Water storage tanks, fed directly from the river through opened channels, are particular systems used for water supply in rural areas in Morocco. The stored water is used as drinking water by the surrounding population without any treatment. UV-visible spectroscopy and fluorescence spectroscopy (excitation-emission matrices and synchronous fluorescence) have been tested as rapid methods to assess the quality of the water stored in the reservoirs as well as along the river feeding them. Synchronous fluorescence spectra (SFS50), collected with a difference of 50 nm between excitation and emission wavelengths, revealed a high tryptophan-like fluorescence, indicative of a pollution induced by untreated domestic and/or farm wastewater. The best correlations were obtained between the total SFS50 fluorescence and dissolved organic carbon (DOC) and biological oxygen demand, showing that the contribution of humic-like fluorescent substances cannot be neglected to rapidly assess reservoir water quality in terms of DOC by fluorescence spectroscopy.


2014 ◽  
Vol 5 (10) ◽  
pp. 3946-3951 ◽  
Author(s):  
Weiguang Ma ◽  
Dongxue Han ◽  
Min Zhou ◽  
Hao Sun ◽  
Lingnan Wang ◽  
...  

Using utg-C3N4/TiO2, a photoelectrochemical platform was designed for the sensing of global antioxidant capacity, which presented a rapid response, and anti-fouling and colour-interference-proof properties.


2014 ◽  
Vol 496-500 ◽  
pp. 1289-1292
Author(s):  
De Huan Tang ◽  
De Yang Luo

This paper designed a special welding machine for an aluminum cone bottom workpiece. This machine contains highly accurate positioner system, laser tracking system, and robotic welding devices. It is used to weld the transverse seams and the longitudinal seams of the workpiece. The interaction of welding robot with positioner and the real-time seam correcting can ensure high quality of welding.


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