scholarly journals Radial basis neural tree model for improving waste recovery process in a paper industry

2018 ◽  
Author(s):  
TANUJIT CHAKRABORTY ◽  
Swarup Chattopadhyay ◽  
Ashis Kumar Chakraborty
Keyword(s):  
Paper Industry ◽  
Cost Effective ◽  
Recovery Process ◽  
Process Efficiency ◽  
Regularity Conditions ◽  
Paper Machine ◽  
Tree Model ◽  
Waste Recovery ◽  
Proposed Model ◽  
Radial Basis

In this article, we propose a novel hybridization of regression trees (RT) and radial basis function networks (RBFN), namely, radial basis neural tree (RBNT) model,for waste recovery process improvement in the paper industry. As a by-product of the paper manufacturing process, a lot of waste along with valuable fibers and fillerscome out from the paper machine. The waste recovery process (WRP) involves separating the unwanted materials from the valuable ones so that the recovered fibersand fillers can be further reused in the production process. This job is done by fiber-filler recovery equipment (FFRE). The efficiency of FFRE depends on severalcrucial process parameters and monitoring them is a difficult proposition. The proposed model can be useful to find the essential parameters from the set of availabledata and perform prediction task to improve waste recovery process efficiency. An idea of parameter optimization along with regularity conditions for the universal consistency of the proposed model are given. The proposed model has the advantages of easy interpretability and excellent performance when applied to the FFREefficiency improvement problem. Improved waste recovery will help the industry to become environmentally friendly with less ecological damage apart from being cost-effective.

scholarly journals Radial basis neural tree model for improving waste recovery process in a paper industry

2019 ◽  
Vol 36 (1) ◽  
pp. 49-61
Author(s):  
Tanujit Chakraborty ◽  
Swarup Chattopadhyay ◽  
Ashis Kumar Chakraborty
Keyword(s):  
Paper Industry ◽  
Recovery Process ◽  
Tree Model ◽  
Waste Recovery ◽  
Radial Basis

scholarly journals Cost-effective removal of COD in the pre-treatment of wastewater from the paper industry

2019 ◽  
Vol 81 (7) ◽  
pp. 1345-1353 ◽  
Author(s):  
Joanna Boguniewicz-Zablocka ◽  
Iwona Klosok-Bazan ◽  
Vincenzo Naddeo ◽  
Clara A. Mozejko
Keyword(s):  
Wastewater Treatment ◽  
High Efficiency ◽  
Paper Industry ◽  
Cost Effective ◽  
Operating Conditions ◽  
Cod Removal ◽  
Process Efficiency ◽  
Effective Removal ◽  
Initial Ph ◽  
Pre Treatment

Abstract The present paper reveals results of research for cost-effective removal of chemical oxygen demand (COD) contained in industrial paper mill effluent. Not only process efficiency but also wastewater treatment costs are discussed. Different pre-treatment processes are applied aiming to investigate the COD removal before discharge to the municipal sewage network. The objective of this paper is to find the optimal operating conditions for the coagulation process. The effects of key operational parameters, including the type of coagulant, initial pH, temperature and coagulant dose, on COD percentage removal were investigated. The laboratory experiments confirmed the high efficiency of chemically enhanced mechanical treatment towards COD. The data obtained show that even low dose of chemicals provides sufficient COD reduction. The initial pH of the wastewater had a significant impact on the COD removal. Under the optimal operational conditions (pH = 7.5, T = 18 °C) the treatment of wastewater from paper industries by coagulation has led to a reduction of 70% COD for wastewater discharged. In terms of the investigated paper industry wastewater, polyaluminium chloride appears to be most suitable for treatment of high COD concentration. However, in an economic evaluation of requirements for wastewater treatment, operating costs and associated saving were such that PAX was more favourable.

scholarly journals Process simulation-based evaluation of design and operational implications of water-laid paper machine conversion to foam technology

BioResources ◽  
2021 ◽  
Vol 16 (3) ◽  
pp. 5148-5186
Author(s):  
Lotta Sorsamäki ◽  
Antti Koponen ◽  
Eemeli Hytönen
Keyword(s):  
Process Simulation ◽  
Paper Industry ◽  
Simulation Software ◽  
Strategic Decision ◽  
Process Efficiency ◽  
Process Equipment ◽  
Paper Machine ◽  
Forming Process ◽  
Forming Technology ◽  
Foam Forming

Foam forming technology has attracted much attention during the past few years in the paper industry. Its advantages compared to conventional water forming are a new product portfolio and increased process efficiency. To support the paper industry in pushing foam forming technology forward, process simulation is needed to provide supporting data for strategic decision-making and as a basis for equipment dimensioning. This study examined the conversion of an existing wallpaper machine from water to foam forming technology using process simulation. To determine the required process configuration and parameter changes in the existing process, both published and unpublished data on the foam forming process were collected. This paper also describes modeling of the foam phase in the selected simulation software. The suitability of existing paper process equipment for foam was analyzed. Simulations revealed that undisturbed operation with foam requires some equipment modifications and re-arrangements in water circuits. With foam forming, the water balance in both short and long circulation changes remarkably compared to conventional water forming, leading to a large increase in the long circulation volume flows.

Application Of Cusum Chart In Control Of Paper Quality

GIS Business ◽  
2020 ◽  
Vol 14 (6) ◽  
pp. 1062-1069
Author(s):  
S.Ramesh ◽  
B.A.Vasu
Keyword(s):  
Process Parameters ◽  
Manufacturing Process ◽  
Paper Industry ◽  
Primary Data ◽  
Cusum Chart ◽  
Paper Machine ◽  
Statistical Control ◽  
Operating Characteristics ◽  
Small Shift

This paper is an attempt to assess if the manufacturing process of paper machine is in statistical control thereby improving the quality of paper being produced in a paper industry at the time of process itself. Quality is the foremost criteria for achieving the business target. Therefore, emphasis was made on controlling the quality of paper at the time of manufacturing process itself, rather than checking the finished lots at a later time.  This control on quality will help the industry deduct the small shift in the process parameters and modify the operating characteristics at the time of production itself rather than receiving complaints from customers at a later stage.  This paper describes controlling quality at the time of manufacture itself and helps the industry to concentrate on quality at low cost. The researcher has collected primary data at a leading paper industry during October, 2019.  Though X-bar and Range charges were primarily used, CUSUM charts were used to sense the minor shifts in manufacturing process, to explore the possibility of adjusting process parameters during manufacture of paper.

scholarly journals Performance-Based Selection of the Cathode Material for the Electrodeposition-Redox Replacement Process of Gold Recovery from Chloride Solutions

2021 ◽  
Author(s):  
Ivan Korolev ◽  
Kirsi Yliniemi ◽  
Mari Lindgren ◽  
Leena Carpén ◽  
Mari Lundström
Keyword(s):  
Material Selection ◽  
Recovery Process ◽  
Multiple Attribute Decision Making ◽  
Gold Recovery ◽  
Process Efficiency ◽  
Gold Extraction ◽  
Corrosion Properties ◽  
Multiple Attribute ◽  
Replacement Process ◽  
Cathode Substrate

AbstractRecently, an emerging electrodeposition-redox replacement (EDRR) method was demonstrated to provide exceptionally efficient gold recovery from cyanide-free hydrometallurgical solutions. However, the effect of electrode material and its corrosion resistance in this process was overlooked, even though the EDRR process is carried out in extremely corrosive, acidic chloride solution that also contains significant amounts of strong oxidants, i.e., cupric ions. In the current study, nickel alloy C-2000, stainless steels 316L and 654SMO, and grade 2 titanium were for the first time critically evaluated as potential cathode materials for EDRR. The particular emphasis was placed on better understanding of the effect of cathode substrate on the overall efficiency of the gold recovery process. The use of a multiple attribute decision-making method of material selection allowed reaching of a well-founded compromise between the corrosion properties of the electrodes and process efficiency of gold extraction. The 654SMO steel demonstrated outstanding performance among the examined materials, as it enabled gold recovery of 28.1 pct after 3000 EDRR cycles, while its corrosion rate (CR) was only 0.02 mm/year.

scholarly journals Graph contextualized attention network for predicting synthetic lethality in human cancers

2021 ◽  
Author(s):  
Yahui Long ◽  
Min Wu ◽  
Yong Liu ◽  
Jie Zheng ◽  
Chee Keong Kwoh ◽  
...  
Keyword(s):  
Synthetic Lethality ◽  
Critical Role ◽  
Design Feature ◽  
Cost Effective ◽  
Attention Network ◽  
New Genes ◽  
Lab Experiments ◽  
Proposed Model ◽  
Multiple Feature ◽  
Wet Lab

Abstract Motivation Synthetic Lethality (SL) plays an increasingly critical role in the targeted anticancer therapeutics. In addition, identifying SL interactions can create opportunities to selectively kill cancer cells without harming normal cells. Given the high cost of wet-lab experiments, in silico prediction of SL interactions as an alternative can be a rapid and cost-effective way to guide the experimental screening of candidate SL pairs. Several matrix factorization-based methods have recently been proposed for human SL prediction. However, they are limited in capturing the dependencies of neighbors. In addition, it is also highly challenging to make accurate predictions for new genes without any known SL partners. Results In this work, we propose a novel graph contextualized attention network named GCATSL to learn gene representations for SL prediction. First, we leverage different data sources to construct multiple feature graphs for genes, which serve as the feature inputs for our GCATSL method. Second, for each feature graph, we design node-level attention mechanism to effectively capture the importance of local and global neighbors and learn local and global representations for the nodes, respectively. We further exploit multi-layer perceptron (MLP) to aggregate the original features with the local and global representations and then derive the feature-specific representations. Third, to derive the final representations, we design feature-level attention to integrate feature-specific representations by taking the importance of different feature graphs into account. Extensive experimental results on three datasets under different settings demonstrated that our GCATSL model outperforms 14 state-of-the-art methods consistently. In addition, case studies further validated the effectiveness of our proposed model in identifying novel SL pairs. Availability Python codes and dataset are freely available on GitHub (https://github.com/longyahui/GCATSL) and Zenodo (https://zenodo.org/record/4522679) under the MIT license.

scholarly journals METHODOLOGICAL APPROACH TO CREATING A MODEL OF COST-EFFECTIVE MECHANISM FOR MANAGING INNOVATIVE ACTIVITY OF HOTEL ORGANIZATIONS

2021 ◽  
pp. 68-76
Author(s):  
T. P. Levchenko ◽  
M. B. Moldazhanov ◽  
V. V. Purichi ◽  
I. V. Strishkina
Keyword(s):  
Innovation Management ◽  
Methodological Approach ◽  
Cost Effective ◽  
Innovative Activity ◽  
Effective Management ◽  
Management Mechanism ◽  
Effective Mechanism ◽  
Scenario Modeling ◽  
Proposed Model ◽  
Activity Management

The transition of hotel organizations to a qualitatively new level of development can be ensured by the formation and use of a cost-effective innovation management mechanism. The article attempts to create a model of a cost-effective management mechanism that could take into account the multifaceted relationships of indicators and indicators of innovative activity. The operation of this mechanism implies the use of indicative control tools, as well as factor and scenario modeling. The author considers the mechanism from the perspective of implementing five interconnected blocks: subjects, goals and tasks, objects, processes and resulting effects. The content of the resulting effects of the implementation of innovative processes based on the calculation of integral indicators of innovative activity and its elements. Based on the proposed model of a cost-effective mechanism for managing the innovative activity of hotel organizations, an analysis of trends in the level of innovative activity was carried out at using the example of three hotel in Sochi, their graphical interpretation is presented. As part of the presented model, scenario modeling of innovative activity management was carried out as one of its tools, a graph of the ratio of indicators of innovative activity of hotel organizations in Sochi was built.

scholarly journals Mapping Seasonal High-Resolution PM2.5 Concentrations with Spatiotemporal Bagged-Tree Model across China

2021 ◽  
Vol 10 (10) ◽  
pp. 676
Author(s):  
Junchen He ◽  
Zhili Jin ◽  
Wei Wang ◽  
Yixiao Zhang
Keyword(s):  
Remote Sensing ◽  
Mean Squared Error ◽  
Fine Particulate Matter ◽  
Absolute Error ◽  
Superior Performance ◽  
Tree Model ◽  
Mixed Effect ◽  
Proposed Model ◽  
High Concentrations ◽  
Pm2.5 Concentration

High concentrations of fine particulate matter (PM2.5) are well known to reduce environmental quality, visibility, atmospheric radiation, and damage the human respiratory system. Satellite-based aerosol retrievals are widely used to estimate surface PM2.5 levels because satellite remote sensing can break through the spatial limitations caused by sparse observation stations. In this work, a spatiotemporal weighted bagged-tree remote sensing (STBT) model that simultaneously considers the effects of aerosol optical depth, meteorological parameters, and topographic factors was proposed to map PM2.5 concentrations across China that occurred in 2018. The proposed model shows superior performance with the determination coefficient (R2) of 0.84, mean-absolute error (MAE) of 8.77 μg/m3 and root-mean-squared error (RMSE) of 15.14 μg/m3 when compared with the traditional multiple linear regression (R2 = 0.38, MAE = 18.15 μg/m3, RMSE = 29.06 μg/m3) and linear mixed-effect (R2 = 0.52, MAE = 15.43 μg/m3, RMSE = 25.41 μg/m3) models by the 10-fold cross-validation method. The results collectively demonstrate the superiority of the STBT model to other models for PM2.5 concentration monitoring. Thus, this method may provide important data support for atmospheric environmental monitoring and epidemiological research.

scholarly journals Recovery of Food Wastes for a Potential Maggot Production as Animal Feed and Solid Waste Management

2021 ◽  
Author(s):  
Kulyash Meiramkulova ◽  
Gulmira Adilbektegi ◽  
Galym Baituk ◽  
Aigul Kurmanbayeva ◽  
Anuarbek Kakabayev ◽  
...  
Keyword(s):  
Waste Management ◽  
Solid Waste ◽  
Food Waste ◽  
Solid Waste Management ◽  
Animal Feed ◽  
Cost Effective ◽  
Dry Weight ◽  
Average Weight ◽  
Waste Recovery ◽  
Investigation Process

Waste recovery is an important aspect towards human and environmental health protection. Unfortunately, proper food waste management is among the serious challenges in the field of solid waste management worldwide. Therefore, it is of great importance to conduct studies towards achieving efficient and cost-effective approaches for food waste management. This study investigated the potential of recovering food waste through maggots’ production as animal feed. The influence of fly attractant application on maggot production was also investigated. The study also investigated the potential of maggot production for waste recovery and reduction. Four different types of food waste (starch food leftovers, rotten bananas and peels, rotten pineapple and peels, and rotten oranges) were used in the investigation process. From the results, it was observed that the application of fly attractants had a significant effect on the production of maggots as determined by the weights after harvesting. Average weight of 94 g/kg of maggot was achieved from banana materials with an application of fly attractant during the 8th day of the cultivation; which is equivalent to a 32.4% increase from the same day when the material was cultured without applying fly attractant. Also, from the starch materials, about 77 g/kg of maggot weight was achieved; which is a 54.6% increase from the same day and the same material but without application of fly attractant. Moreover, the relative dry weight reduction in the trials varied from 52.5% to 82.4%.

Modeling bid/no bid decisions using fuzzy fault tree

2018 ◽  
Vol 18 (1) ◽  
pp. 90-108 ◽  
Author(s):  
Mohamed Marzouk ◽  
Emad Mohamed
Keyword(s):  
Fault Tree ◽  
The Body ◽  
Final Decision ◽  
Extensive Literature ◽  
Willingness To Participate ◽  
Tree Model ◽  
Content Type ◽  
Proposed Model ◽  
Multiple Experts ◽  
Two Stages

Purpose Decisions by construction contractors to bid (or not to bid) require the thorough assessment and evaluation of factors relevant to the decision, as well as the quantification of their combined impact, to produce successful bid/no-bid decisions. The purpose of this study is to present a fuzzy fault tree model to assist construction contractors to more efficiently bid for future projects. Design/methodology/Approach The proposed model consist of two stages: first, identification of the factors that affect bidding decision using a questionnaire survey after an extensive literature review, and second, usage of the identified factors to build a fuzzy fault tree model to simulate the bidding decision. Findings A list of 15 factors that affect bid/no-bid decisions was identified. Analysis of factors revealed that the highest-ranking factors were related to financial aspects of the project. A case study is presented to demonstrate the capabilities of the model, and a fuzzy important analysis is performed on the basic events to demonstrate the differences between three contractors’ bid/no-bid decisions. The results reveal that there is variation between the decisions of each contractor based on their willingness to participate. Besides, the influence of evaluation factors on the final decision for each contractor is different. Originality/value The study contributes to the body of knowledge on tendering and bidding practices. The proposed model incorporated the fuzzy set theory, which suits human subjectivity. The proposed methodology overcomes the limitations of previous models as it can, using the linear pool opinion principle, combine and weigh the evaluations of multiple experts. In addition, the model is convenient for situations where historical data are not available.

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