Recent Advances of Spout-Fluid Bed: A Review of Fundamentals and Applications

2013 ◽  
Vol 11 (1) ◽  
pp. 243-258 ◽  
Author(s):  
Yingjuan Shao ◽  
Xuejiao Liu ◽  
Wenqi Zhong ◽  
B.-S. Jin ◽  
Mingyao Zhang
Keyword(s):  
Fluidized Beds ◽  
Hydrodynamic Characteristics ◽  
Future Research ◽  
Spouted Bed ◽  
Major Research ◽  
Research Topics ◽  
The Past ◽  
Spouted Beds ◽  
Fluid Bed ◽  
New Applications

Abstract The spout-fluid bed (SFB) is a very successful synthesis of the spouting and fluidization. The hydrodynamics of SFB are more complex than both fluidized beds and spouted beds. Up-to-date information on the fundamentals and applications of SFBs has been briefly presented, based on the limited work reported, in the new spouted bed book edited by Norman Epstein and John R. Grace (Spouted and spout-fluid beds: fundamentals and applications, 2011). In the past three years, nearly 30 papers have been published in international journals. They reported interesting studies on hydrodynamic characteristics, numerical simulations and new applications of SFBs. This article reviews the major research and development on SFB from the year 2010 and recommends further research topics. This review is intended not only as an important supplement to the SFB chapter of the spouted bed book but also helpful guidance for future research.

scholarly journals Promoting Energy Performance Contracting for Achieving Urban Sustainability: What is the Research Trend?

Energies ◽  
2019 ◽  
Vol 12 (8) ◽  
pp. 1443 ◽  
Author(s):  
Zhang ◽  
Yuan
Keyword(s):  
Business Models ◽  
Energy Performance ◽  
Research Trends ◽  
Research Trend ◽  
Future Research ◽  
Major Research ◽  
Research Topics ◽  
Performance Contracting ◽  
The Past ◽  
Energy Performance Contracting

The increasing demand for applying energy performance contracting (EPC) for urban energy conservation has resulted in a significant amount of publications over the past decade. This study tries to identify future research trends in the subject of EPC through analyzing 127 journal papers published from 2008 to 2018. Based on the analysis and discussion of the EPC research, several main research trends were identified. The research results reveal an increasing research interest in EPC over the period. The findings imply that case study is the major research method and descriptive analysis and statistical analysis are primarily used for data analysis. In addition, EPC research in the past decade focused on five major research topics, which are ‘implementation of EPC projects’, ‘EPC mechanism and business models’, ‘decision-making in EPC projects’, ‘Energy Service Companies (ESCOs) in EPC projects’, and ‘risk management in EPC projects’. Based on the five research topics, future research trends and directions in EPC were identified as well. The findings of this study can be informative and valuable for guiding future research in EPC, and are particularly helpful for researchers who are keen to open a new window of investigating EPC issues worldwide.

scholarly journals Overtourism and tourismphobia

Tourism ◽  
2020 ◽  
Vol 68 (2) ◽  
pp. 156-169 ◽  
Author(s):  
Medéia Veríssimo ◽  
Michelle Moraes ◽  
Zélia Breda ◽  
Alan Guizi ◽  
Carlos Costa
Keyword(s):  
Core Collection ◽  
Web Of Science ◽  
Qualitative Approach ◽  
Future Research ◽  
Research Topics ◽  
The Past ◽  
Depth Analysis ◽  
Negative Impacts ◽  
Shed Light ◽  
The Web

This paper aims at examining how overtourism and tourismphobia are being approached as emergent research topics in current tourism literature. It conducts an analysis of 154 documents, indexed in the Web of Science (WoS) Core Collection and Scopus databases. The study follows a quantitative and qualitative approach, with the support of VOSviewer and HistCite softwares for a descriptive content analysis. The analysis focuses on highlighting important aspects in terms of the most frequent publication sources (authors and journals); co-citation, as well as dimensions and research streams; methodologies used; results obtained; and implications for future research. The literature review unveiled that the concepts of overtourism and tourismphobia are usually related to destinations’ development, negative impacts, and tourism policies and regulation. Results show that, although tourism excesses and conflicts have been studied for long, ‘overtourism’ and ‘tourismphobia’ have become usual terms, mainly within the past three years. Even though the adoption of the terms can be considered by some as a ‘trend’, the in-depth analysis of the topics shed light on how ‘old’ concepts can evolve to adapt to contemporary tourism issues. Further studies are needed in tracking the evolution of these topics and their implications on the future of tourism.

scholarly journals Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation

2018 ◽  
Vol 61 ◽  
pp. 65-170 ◽  
Author(s):  
Albert Gatt ◽  
Emiel Krahmer
Keyword(s):  
Natural Language ◽  
State Of The Art ◽  
Natural Language Generation ◽  
Data Driven ◽  
Research Topics ◽  
Language Generation ◽  
The Past ◽  
Current State ◽  
Linguistic Input ◽  
New Applications

This paper surveys the current state of the art in Natural Language Generation (NLG), defined as the task of generating text or speech from non-linguistic input. A survey of NLG is timely in view of the changes that the field has undergone over the past two decades, especially in relation to new (usually data-driven) methods, as well as new applications of NLG technology. This survey therefore aims to (a) give an up-to-date synthesis of research on the core tasks in NLG and the architectures adopted in which such tasks are organised; (b) highlight a number of recent research topics that have arisen partly as a result of growing synergies between NLG and other areas of artificial intelligence; (c) draw attention to the challenges in NLG evaluation, relating them to similar challenges faced in other areas of NLP, with an emphasis on different evaluation methods and the relationships between them.

Advancing customer experience practice and strategy in Thailand

2019 ◽  
Vol 31 (2) ◽  
pp. 327-343 ◽  
Author(s):  
Yan Chi Tiffany Tivasuradej ◽  
Nam Pham
Keyword(s):  
Design Methodology ◽  
Customer Experience ◽  
Future Research ◽  
Full Potential ◽  
Research Topics ◽  
Content Type ◽  
The Past ◽  
Current State ◽  
Managerial Implications

Purpose The purpose of this paper is to provide a broad preliminary overview and critical viewpoint on the current state of customer experience innovation and strategy in Thailand. Design/methodology/approach This paper outlines and critically analyses the key trends based on 15 prime instances of customer experience innovation from the past ten years in Thailand across three industries: retail, fuel service and insurance. Findings Customer experience in Thailand is still in its nascent stage. This is because firms are yet to realise their full potential as critical brand differentiators. Many Thai firms also miss collaboration opportunities with external partners when innovating customer experiences. This is despite the overwhelming contributions from local SMEs to breakthrough innovations and creativity. Consequently, many customer experience innovations in Thailand are yet to be truly memorable and unique. Originality/value This is the first paper that critically examines the trends in customer experience across the retail, fuel service and insurance. It is also the only paper that outlines strategic implications of customer experience strategies and innovations to date for Thailand. Both future research topics and managerial implications for Thai professionals are discussed in the paper.

Review of Perfectionism Research From 1990 to 2019 Utilizing a Text-Mining Approach

2021 ◽  
pp. 108926802110188
Author(s):  
Hanna Suh ◽  
Seoyoung Kim ◽  
Dong-gwi Lee
Keyword(s):  
Text Mining ◽  
Topic Modeling ◽  
Personality Characteristic ◽  
Future Research ◽  
Multinomial Regression ◽  
Research Topics ◽  
Word Analysis ◽  
The Past ◽  
Research Findings ◽  
Meta Analyses

Perfectionism is a personality characteristic that has been explored for its implications in mental health; reviews and meta-analyses were conducted to synthesize research findings. This study systemically synthesizes the perfectionism literature using a text-mining approach. Co-word analysis and Dirichlet Multinomial Regression topic modeling were performed on a total of 1,529 perfectionism abstracts published from 1990 to 2019. Analysis revealed that perfectionism research is closely connected with “disorder,” with “symptom” being the most frequently addressed issue. Topic-modeling results found a total of 15 topics represented perfectionism research of the past three decades. Most articles were published in psychology journals, with social and clinical psychology subdisciplines publishing perfectionism articles most frequently. There were overlaps in research topics by journal subdisciplines, while differences were also observed. This study provides a panoramic view of perfectionism literature and highlights frequently and infrequently explored areas that could be considered in future research endeavors.

scholarly journals Identifying Research Topics and Trends in Asset Management for Sustainable Use: A Topic Modeling Approach

2021 ◽  
Vol 13 (9) ◽  
pp. 4792
Author(s):  
Hosang Jung ◽  
Boram Kim
Keyword(s):  
Life Cycle ◽  
Asset Management ◽  
Topic Modeling ◽  
Life Cycle Cost ◽  
Latent Dirichlet Allocation ◽  
Sustainable Use ◽  
Future Research ◽  
Research Topics ◽  
The Past ◽  
Modeling Approach

Asset management is not new, and research has been conducted in private and public sectors on how to systematically maintain infrastructure or facilities for sustainable use and achieve the level of service desired by users or customers at the lowest life cycle costs. This research identifies the research topics and trends in asset management over the past 30 years. To this end, latent Dirichlet allocation, a topic modeling approach, was applied to articles published in engineering journals and investigated the following three research questions: (1) what have the key topics been for the past three decades? (2) what are the main activities and target sectors of asset management? (3) how have the research topics and keywords changed over the past three decades? The analysis shows that the target field of asset management has broadened while the main activities of asset management have been limited to several popular activities such as life cycle cost analysis and reliability analysis. Some implications and future research directions are also discussed.

Hydrodynamics, numerical study and application of spouted bed

2018 ◽  
Vol 34 (6) ◽  
pp. 743-766 ◽  
Author(s):  
Zohreh Rahimi-Ahar ◽  
Mohammad Sadegh Hatamipour
Keyword(s):  
Cfd Simulation ◽  
Numerical Study ◽  
Measurement Techniques ◽  
Flow Characteristics ◽  
Hydrodynamic Characteristics ◽  
Two Phase ◽  
Spouted Beds ◽  
Three Phase ◽  
Computational Fluid Dynamics Cfd ◽  
New Applications

Abstract This article reviews the major research and development on spouted beds (SBs). Due to its unique structural and flow characteristics, the SB is a very successful system in most applications. Two-phase and sometimes three-phase interactions generate a large number of variables to be noted in each process. Up-to-date information on the fundamentals and applications of SBs has been briefly presented, based on the published works. Thousands of interesting studies on hydrodynamic characteristics, numerical simulations, and new applications of SBs are reported. In the first step, the present work presents a review of hydrodynamic characteristics (circulation of solids in SB, measurement techniques for particle tracking and empirical hydrodynamics, pressure drop, maximum spoutable height, minimum spouting velocity, and diameter of the spout). In the second step, main mathematical models and computational fluid dynamics (CFD) simulation of the SB to predict and analyze different processes are described. Some main mathematical modeling and the recent advances of two fluid methods and discrete element method approaches in CFD simulation of SBs are summarized. In the last step, some new applications of the SB are presented. As the result of this review, we can observe the importance of further development of hydrodynamics structure, working on modeling and related correlations and improve the applications of SBs.

A Comparison of the Breakage Mechanisms for Attrition of Selected Polymers in Pneumatic Transport and Spouted Beds

2009 ◽  
Vol 6 (1) ◽  
Author(s):  
Suma Al-Senawi ◽  
Bashar Hadi ◽  
Cedric Briens ◽  
Jean-Michel Chabagno
Keyword(s):  
Fluidized Bed ◽  
Pilot Plant ◽  
Fluidized Beds ◽  
Pneumatic Transport ◽  
The Other ◽  
Attrition Rate ◽  
Spouted Bed ◽  
Spouted Beds ◽  
Considerable Work ◽  
Product Degradation

Predicting the amount of attrition that will occur in a pneumatic transport system is very important in preventing product degradation. Considerable work has been performed on the mechanisms of attrition in fluidized beds; hence, they are well understood. On the other hand, there are fewer correlations that can be used to predict the attrition rate in pneumatic transport and spouted beds. In this study, polymethyl methacrylates particles were attrited in a pneumatic transport pilot plant and the experimental attrition rate was determined. The same particles were also used in a spouted bed with a sonic attrition jet and the attrition rate was measured. Finally, a fluidized bed correlation was applied to the spouted bed and a model was used to determine whether the attrition mechanism in pneumatic transport can be related to the attrition mechanism in the spouted bed.

Educational data mining: a systematic review of research and emerging trends

2020 ◽  
Vol 48 (4) ◽  
pp. 225-236
Author(s):  
Xu Du ◽  
Juan Yang ◽  
Jui-Long Hung ◽  
Brett Shelton
Keyword(s):  
Artificial Intelligence ◽  
Systematic Review ◽  
Educational Data Mining ◽  
Research Trends ◽  
Future Research ◽  
Major Research ◽  
Research Topics ◽  
Content Type ◽  
State Of Art ◽  
Open Issues

Purpose Educational data mining (EDM) and learning analytics, which are highly related subjects but have different definitions and focuses, have enabled instructors to obtain a holistic view of student progress and trigger corresponding decision-making. Furthermore, the automation part of EDM is closer to the concept of artificial intelligence. Due to the wide applications of artificial intelligence in assorted fields, the authors are curious about the state-of-art of related applications in Education. Design/methodology/approach This study focused on systematically reviewing 1,219 EDM studies that were searched from five digital databases based on a strict search procedure. Although 33 reviews were attempted to synthesize research literature, several research gaps were identified. A comprehensive and systematic review report is needed to show us: what research trends can be revealed and what major research topics and open issues are existed in EDM research. Findings Results show that the EDM research has moved toward the early majority stage; EDM publications are mainly contributed by “actual analysis” category; machine learning or even deep learning algorithms have been widely adopted, but collecting actual larger data sets for EDM research is rare, especially in K-12. Four major research topics, including prediction of performance, decision support for teachers and learners, detection of behaviors and learner modeling and comparison or optimization of algorithms, have been identified. Some open issues and future research directions in EDM field are also put forward. Research limitations/implications Limitations for this search method include the likelihood of missing EDM research that was not captured through these portals. Originality/value This systematic review has not only reported the research trends of EDM but also discussed open issues to direct future research. Finally, it is concluded that the state-of-art of EDM research is far from the ideal of artificial intelligence and the automatic support part for teaching and learning in EDM may need improvement in the future work.

scholarly journals Classifying, Predicting, and Reducing Strategies of the Mesh Excitations of Gear Whine Noise: A Survey

2020 ◽  
Vol 2020 ◽  
pp. 1-20 ◽  
Author(s):  
Menglei Sun ◽  
Chihua Lu ◽  
Zhien Liu ◽  
Yi Sun ◽  
Hao Chen ◽  
...  
Keyword(s):  
Axial Direction ◽  
Transmission Error ◽  
Future Research ◽  
Research Topics ◽  
Technical Challenge ◽  
Measuring Methods ◽  
The Past ◽  
Wide Range ◽  
Research Recommendations

Gear whine noise has attracted increasing attention from researchers in both the academe and the industry over the past two decades. The wide range of research topics demonstrates that there is a huge technical challenge in understanding the source-path-receiver mechanisms deeply and predicting the gear whine noise precisely. Thoroughly understanding the sources of gear whine noise is the first step to solving this issue. In this paper, the authors summarize a certain number of published articles regarding the sources of gear whine noise. The excitations of gear whine noise are classified into three groups: transmission error along the line of action direction, frictional excitations along the off-line of action direction, and shuttling excitation along the axial direction. The mechanisms, characteristics, predicting approaches, measuring methods, and decreasing strategies for these excitations are summarized. Current research characteristics and future research recommendations are presented at the end.

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