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.

scholarly journals Developing a Coupling Model System of Global Rainfall Data and Open-Source Model for Water Forecast in Poorly Gauged Basins

2019 ◽  
Vol 3 (1) ◽  
pp. 355 ◽  
Author(s):  
Duong Du Bui ◽  
Duc Minh Tran ◽  
Huong Thi Vu ◽  
Nuong Thi Bui
Keyword(s):  
Open Source ◽  
Input Data ◽  
Water Security ◽  
Coupling Model ◽  
Source Model ◽  
Rainfall Data ◽  
Creative Commons ◽  
Set Up ◽  
User Friendly

Water security is under severe pressures from human interventions and climate change in all over the world and improved water forecast is essential for water management. HYPE is a semi-distributed hydrographic model, running on Windows or Linux operating systems. The code of the model is written by the Fortran programming language and open source as Lesser GNU Public License. HYPE has been becoming a widely used tool in the forecasting of transboundary flows. However, the application of HYPE encounters many difficulties in processing input data and serving the construction, calibration, and validation of the model. This article introduces the development of the V-HYPE tool that helps a couple of global rainfall data and HYPE model for operational use. V-HYPE allows developing a user-friendly interface and setting parameters of the HYPE model as well as evaluating errors and transforming and visually displaying the results of the model. Besides, the V-HYPE has the ability to show related maps (i.e. sub-basins, river network, lake, and dams, etc), set up input data, automatically download global rainfall data, and visually display results on WebGIS. V-HYPE also can generate bulletins supporting for operational water resources warning and forecasting works in Vietnam. The utilities of this tool are demonstrated in the case study of Serepok river basin.This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium provided the original work is properly cited.

Leveraging Social Media in Facilitating Women Entrepreneurs in India

2020 ◽  
Vol 10 (2) ◽  
pp. 76-90
Author(s):  
Madhura Manish Bedarkar ◽  
Mahima Mishra ◽  
Ritesh Ashok Khatwani
Keyword(s):  
Social Media ◽  
Women Entrepreneurs ◽  
Cost Effective ◽  
Psychological Benefits ◽  
Study Approach ◽  
Self Confidence ◽  
Social Media Platforms ◽  
Set Up

This article explores the role of social media in facilitating women entrepreneurs in India. It adopts a case study approach to explore the effectiveness of social media platforms in supporting women entrepreneurs. PULA (Pune Ladies), a closed Facebook Group, set up in 2015 for women in Pune, was selected as a case study. Fifteen in-depth interviews were conducted among 15 active women entrepreneurs of this group to explore the benefits received in terms of visibility, marketing opportunities, revenue generation, psychological benefits (sense of belongingness, self-confidence, motivation), and counselling to name a few. Their responses were analyzed for commonalities and divergences. The article finds that PULA not only offers a cost-effective platform for women entrepreneurs to showcase their products/services but also helps them in enhancing the visibility and financial performance of their businesses. The findings of this study will guide women entrepreneurs in leveraging social media platforms through greater visibility, networking and marketing their products/ services more efficiently.

scholarly journals Quantifying the Performances of the Semi-Distributed Hydrologic Model in Parallel Computing—A Case Study

Water ◽  
2019 ◽  
Vol 11 (4) ◽  
pp. 823 ◽  
Author(s):  
JungJin Kim ◽  
Jae Ryu
Keyword(s):  
Parallel Computing ◽  
Execution Time ◽  
Hydrological Modeling ◽  
Cost Effective ◽  
Hydrologic Model ◽  
Coefficient Of Determination ◽  
Partial Sums ◽  
Urban Rural ◽  
Set Up

The research features how parallel computing can advance hydrological performances associated with different calibration schemes (SCOs). The result shows that parallel computing can save up to 90% execution time, while achieving 81% simulation improvement. Basic statistics, including (1) index of agreement (D), (2) coefficient of determination (R2), (3) root mean square error (RMSE), and (4) percentage of bias (PBIAS) are used to evaluate simulation performances after model calibration in computer parallelism. Once the best calibration scheme is selected, additional efforts are made to improve model performances at the selected calibration target points, while the Rescaled Adjusted Partial Sums (RAPS) is used to evaluate the trend in annual streamflow. The qualitative result of reducing execution time by 86% on average indicates that parallel computing is another avenue to advance hydrologic simulations in the urban-rural interface, such as the Boise River Watershed, Idaho. Therefore, this research will provide useful insights for hydrologists to design and set up their own hydrological modeling exercises using the cost-effective parallel computing described in this case study.

scholarly journals Systems Development for Records Archiving and Digital Documents Repository: A Case Study

2014 ◽  
Vol 4 (1) ◽  
Author(s):  
Michael P. Gamba ◽  
Magdalena M. Ocbian ◽  
Maryjean N. Gamba
Keyword(s):  
Cost Effective ◽  
Data Access ◽  
Virtual Private Network ◽  
The Philippines ◽  
Internet Service ◽  
Web Based ◽  
State College ◽  
Effective Manner ◽  
Private Network

The presence of vast communication and information nowadays necessitates the need for a system to readily access and transfer data. The study aimed to develop records archiving and document repository to overcome the barrier of server client method of deploying the documents from one place to another and easier data access to its stakeholders. The Sorsogon State College in the Philippines has four campuses which are located strategically in four municipalities of Sorsogon province. Their distance from each other sometimes causes a problem particularly along communication and real time updates. General User Interface (GUI) of the application has been built on top of all web-enabled computers and even to the mobile devices, so it requires only installed web browsers to render the GUI onto their devices regardless of its platform and specifications. The installation of web-based archiving and repository on its main campus enables satellite campuses to connect to the college private server in a cost-effective manner through virtual private network that connects on top of the Internet service provider. This study overcomes the vulnerability of security by means of allowing user credentials to login at the private server using a 1024 bit Rivest-Shamir-Adleman (RSA) private/public key exchange and 256-bit Advance Encryption System (AES) encryption through its virtual private network. Contents of the uploaded files were being encrypted at 128-bit to prevent intranet users from sneaking the file contents. Keywords - ICT, document archive, web, GUI, developmental research, Sorsogon City, Philippines,

scholarly journals SCRO: A Domain Ontology for Describing Steel Cold Rolling Processes towards Industry 4.0

Information ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 304
Author(s):  
Sadeer Beden ◽  
Qiushi Cao ◽  
Arnold Beckmann
Keyword(s):  
Cold Rolling ◽  
Domain Knowledge ◽  
Detection System ◽  
Data Access ◽  
Data Sets ◽  
Domain Experts ◽  
Data Querying ◽  
Set Up ◽  
Integration Data

This paper introduces the Steel Cold Rolling Ontology (SCRO) to model and capture domain knowledge of cold rolling processes and activities within a steel plant. A case study is set up that uses real-world cold rolling data sets to validate the performance and functionality of SCRO. This includes using the Ontop framework to deploy virtual knowledge graphs for data access, data integration, data querying, and condition-based maintenance purposes. SCRO is evaluated using OOPS!, the ontology pitfall detection system, and feedback from domain experts from Tata Steel.

scholarly journals pandapipes: an Open Source Piping Grid Calculation Package for the Application in Coupled Multi-Energy Grid Simulations

2020 ◽  
Author(s):  
Daniel Lohmeier ◽  
Dennis Cronbach ◽  
Simon Ruben Drauz ◽  
Martin Braun ◽  
Tanja Manuela Kneiske
Keyword(s):  
Open Source ◽  
District Heating ◽  
Evaluation Process ◽  
Peak Shaving ◽  
First Case ◽  
Model Setup ◽  
And Performance ◽  
Set Up ◽  
Power To Gas

The increasing complexity of the design and operation evaluation process of multi-energy grids (MEGs) requires tools for the coupled simulation of power, gas and district heating grids. Most tools analyzed in this paper either do not allow coupling of infrastructures, simplify the grid model or are not publicly available. We introduce the open source piping grid simulation tool pandapipes that – in interaction with pandapower - fulfills three crucial criteria: clear data structure, adaptable MEG model setup and performance. In an introduction to pandapipes we illustrate how it fulfills these criteria through its internal structure and demonstrate how it performs in comparison to STANET®. Then we show two case studies that have been performed with pandapipes already. The first case study demonstrates a peak shaving strategy as interaction of a local electricity and district heating grid in a small settlement. The second case study analyzes the potential of a power-to-gas device to serve as flexibility in a power grid under consideration of gas grid constraints. They both show the importance of a clear database, a simple simulation setup and good performance to set up different large and complex studies on grid infrastructure design and operation.

An Application of Multivariate Statistical Techniques for Cost Effective Decision Making ­ A Case Study

2005 ◽  
Vol 57 (1-2) ◽  
pp. 109-120
Author(s):  
Biswabrata Pradhan
Keyword(s):  
Cost Benefit Analysis ◽  
Function Analysis ◽  
Cost Benefit ◽  
Cost Effective ◽  
Classification Rule ◽  
Multivariate Statistical ◽  
Effective Decision ◽  
Effective Decision Making ◽  
Set Up

This paper focuses on the application of multivariate statical techniques for making a cost effective decision in an industrial set up. The objective of this study is to take a decision with respect to several parameters whether a particular product can be sent to the customer or not. The techniques like MANOVA, discriminant and classification function analysis have been used to fulfil the objectives. An optimum classification rule has been established for making the decision. A cost benefit analysis has also been done after iniplementing the proposed optimum decision­making rule.

scholarly journals Soft Sensor Development Based on Quality-Relevant Slow Feature Analysis and Bayesian Regression with Application to Propylene Polymerization

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Miao Zhang ◽  
Le Zhou ◽  
Jing Jie ◽  
Xiaoli Wu
Keyword(s):  
Soft Sensor ◽  
Bayesian Regression ◽  
Propylene Polymerization ◽  
Polymerization Process ◽  
Feature Analysis ◽  
Quality Indices ◽  
Soft Sensors ◽  
Slow Feature Analysis ◽  
Iterative Maximum Likelihood

Data-driven soft sensors are widely used to predict quality indices in propylene polymerization processes to improve the availability of measurements and efficiency. To deal with the nonlinearity and dynamics in propylene polymerization processes, a novel soft sensor based on quality-relevant slow feature analysis and Bayesian regression is proposed in this paper. The proposed method can handle the dynamics of the process better by extracting quality-relevant slow features, which present both the slowly varying characteristic and the correlations with quality indices. Meanwhile, a Bayesian inference model is developed to predict the quality indices, which takes advantages of a probability framework with iterative maximum likelihood techniques for parameter estimation and a sparse constraint for avoiding overfitting. Finally, a case study is conducted with data sampled from a practical industrial propylene polymerization process to demonstrate the effectiveness and superiority of the proposed method.

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