scholarly journals Utilization of Red Mud as a Source for Metal Ions—A Review

Materials ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2211
Author(s):  
Sneha Samal
Keyword(s):  
Metal Ions ◽  
Red Mud ◽  
Large Scale ◽  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Major Elements ◽  
Metal Recovery ◽  
Minor Elements ◽  
Sustainable Environment ◽  
Alumina Industry

An overview is presented on the prospective use of red mud as a resource in this review. Various scopes are suggested for the utilization of red mud to maintain a sustainable environment. The potential use of red mud covers the valuable metal recovery that could emphasize the use of red mud as a resource. Red mud could act as reduced slag in the metallurgical field for the extraction of minerals and metals for upscale application. Although many studies have revealed the potential utilization of red mud, most of them are only limited to a lab-scale basis. Therefore, a large-scale investigation on recycling of red mud for the extraction in the area of the metal recovery section will draw attention to the extensive use of red mud. Metal ions of major elements Fe (44 wt.%), Al (18.2 wt.%), Si (14.3 wt.%), Ti (9.3 wt.%), Na (6.2 wt.%), Ca (4.4 wt.%) as major elements and of Mg, V, Mn, Cr, K as minor elements and rare earth elements such as Ce (102 mg/kg), La (56 mg/kg), Sc (47 mg/kg), Nd (45 mg/kg), Sm (9 mg/kg). Moreover, an appropriate in-house metal recovery facility with the alumina industry will come out as a cost–benefit analysis.

scholarly journals GATECloud.net: a platform for large-scale, open-source text processing on the cloud

2013 ◽  
Vol 371 (1983) ◽  
pp. 20120071 ◽  
Author(s):  
Valentin Tablan ◽  
Ian Roberts ◽  
Hamish Cunningham ◽  
Kalina Bontcheva
Keyword(s):  
Cloud Computing ◽  
Language Processing ◽  
Large Scale ◽  
Virtual Machines ◽  
Cost Benefit Analysis ◽  
Text Processing ◽  
Cost Benefit ◽  
Data Intensive ◽  
On Demand ◽  
Usage Evaluation

Cloud computing is increasingly being regarded as a key enabler of the ‘democratization of science’, because on-demand, highly scalable cloud computing facilities enable researchers anywhere to carry out data-intensive experiments. In the context of natural language processing (NLP), algorithms tend to be complex, which makes their parallelization and deployment on cloud platforms a non-trivial task. This study presents a new, unique, cloud-based platform for large-scale NLP research—GATECloud. net. It enables researchers to carry out data-intensive NLP experiments by harnessing the vast, on-demand compute power of the Amazon cloud. Important infrastructural issues are dealt with by the platform, completely transparently for the researcher: load balancing, efficient data upload and storage, deployment on the virtual machines, security and fault tolerance. We also include a cost–benefit analysis and usage evaluation.

Privacy Factors for Successful Ubiquitous Computing

2010 ◽  
pp. 1408-1424
Author(s):  
Linda Little ◽  
Pam Briggs
Keyword(s):  
Ubiquitous Computing ◽  
Detailed Analysis ◽  
Social Engagement ◽  
Large Scale ◽  
New Technologies ◽  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Human Values ◽  
Large Scale Survey ◽  
The Impact

Certain privacy principles have been established by industry, (e.g. USCAM, 2006). Over the past two years, we have been trying to understand whether such principles reflect the concerns of the ordinary citizen. We have developed a method of enquiry which displays a rich context to the user in order to elicit more detailed information about those privacy factors that underpin our acceptance of ubiquitous computing. To investigate use and acceptance Videotaped Activity Scenarios specifically related to the exchange of health, financial, shopping and e-voting information and a large scale survey were used. We present a detailed analysis of user concerns firstly in terms of a set of constructs that might reflect user-generated privacy principles; secondly those factors likely to play a key role in an individual’s cost-benefit analysis and thirdly, longer-term concerns of the citizen in terms of the impact of new technologies on social engagement and human values.

scholarly journals Maximum Closeness Centrality k-Clubs: A Study of Dock-Less Bike Sharing

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Ali Rahim Taleqani ◽  
Chrysafis Vogiatzis ◽  
Jill Hough
Keyword(s):  
Computational Complexity ◽  
Large Scale ◽  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Closeness Centrality ◽  
Computational Time ◽  
Greedy Heuristic ◽  
New Paradigm ◽  
Coordination Costs ◽  
Bike Sharing

In this work, we investigate a new paradigm for dock-less bike sharing. Recently, it has become essential to accommodate connected and free-floating bicycles in modern bike-sharing operations. This change comes with an increase in the coordination cost, as bicycles are no longer checked in and out from bike-sharing stations that are fully equipped to handle the volume of requests; instead, bicycles can be checked in and out from virtually anywhere. In this paper, we propose a new framework for combining traditional bike stations with locations that can serve as free-floating bike-sharing stations. The framework we propose here focuses on identifying highly centralized k-clubs (i.e., connected subgraphs of restricted diameter). The restricted diameter reduces coordination costs as dock-less bicycles can only be found in specific locations. In addition, we use closeness centrality as this metric allows for quick access to dock-less bike sharing while, at the same time, optimizing the reach of service to bikers/customers. For the proposed problem, we first derive its computational complexity and show that it is NP-hard (by reduction from the 3-SATISFIABILITY problem), and then provide an integer programming formulation. Due to its computational complexity, the problem cannot be solved exactly in a large-scale setting, as is such of an urban area. Hence, we provide a greedy heuristic approach that is shown to run in reasonable computational time. We also provide the presentation and analysis of a case study in two cities of the state of North Dakota: Casselton and Fargo. Our work concludes with the cost-benefit analysis of both models (docked vs. dockless) to suggest the potential advantages of the proposed model.

Adsorption of Soluble Metal Ions from Red Mud by Modified Activated Carbon

2008 ◽  
Vol 368-372 ◽  
pp. 1541-1544 ◽  
Author(s):  
Hua Lei Zhou ◽  
Dong Yan Li ◽  
Guo Zhuo Gong ◽  
Ya Jun Tian ◽  
Yun Fa Chen
Keyword(s):  
Activated Carbon ◽  
Metal Ions ◽  
Adsorption Capacity ◽  
Red Mud ◽  
Activated Carbons ◽  
Valuable Metal ◽  
Surface Areas ◽  
Alumina Industry ◽  
Modified Activated Carbons ◽  
Almost All

Activated carbon was employed as the adsorption carrier for the metal ions in HCl solution of red mud, a solid waste produced in alumina industry. To improve the adsorption capacity to valuable metal ions, the activated carbon was modified by chemicals including HNO3, H2O2, H2SO4, H3PO4, NH3, Na2CO3, and tri-butyl phosphate (TBP). It was found that the modifications contributed the high adsorption capacity to almost all metal ions we focused on. In the case of TBP, remarkably higher adsorption capacity and selectivity of Sc3+ was observed. The correlation between the surface areas, IR spectra of those chemically modified activated carbons and adsorption was schemed.

scholarly journals Labour Migration and the Economic Sustainability in Thailand

2012 ◽  
Vol 31 (3) ◽  
pp. 59-83 ◽  
Author(s):  
Piriya Pholphirul
Keyword(s):  
Rural Areas ◽  
Large Scale ◽  
Cost Benefit Analysis ◽  
National Policy ◽  
Cost Benefit ◽  
Labour Migration ◽  
Skilled Workers ◽  
Middle Income ◽  
Policy Agendas ◽  
The Cost

Migration is one of the top debate topics in terms of the national policy agendas of middle-income countries, and Thailand is no exception. The segmentation of its labour market explains why Thailand is experiencing large-scale immigration and a simultaneous emigration of low-skilled workers. Immigration inflows from its less-developed neighbour countries -namely, Laos, Cambodia and Myanmar – pose a challenge for Thailand. Wage differentials between Thailand and other migrant-receiving countries, which are mostly more economically developed than Thailand, also stimulate emigration from there. Due to regional disparities within the country and to a lack of employment and educational opportunities in rural areas, internal migration is also common and encouraged. In this paper I first analyse the economic pros and cons of migration both to and within Thailand before formulating labour migration policies that aim to maximize beneficial outcomes while minimizing economic costs. The cost–benefit analysis of labour migration is key to addressing relevant gaps in formulating and implementing effective policies.

Using Cost Benefit Analysis for Enterprise Resource Planning Project Evaluation

2001 ◽  
pp. 154-170 ◽  
Author(s):  
Kenneth Murphy ◽  
Steven John Simon
Keyword(s):  
Enterprise Resource Planning ◽  
User Satisfaction ◽  
Large Scale ◽  
Cost Benefit Analysis ◽  
Cost Benefit ◽  
Resource Planning ◽  
Business Case ◽  
Benefit Analysis ◽  
Large Computer ◽  
Planning Project

The goal of this chapter is to demonstrate how cost benefit analysis can be applied to large-scale ERP projects, and that these methods can incorporate the intangible benefits, e.g., user satisfaction. Detailed information on the business case utilized by a large computer manufacturer in their decision to implement the SAP system R/3 is presented. We illustrate how this organization utilized techniques to include intangibles in the implementation project’s cost benefit analysis. The chapter concludes with a discussion on the state of valuing ERP projects and questions to be answered in the future.

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