scholarly journals Perfume and Flavor Engineering: A Chemical Engineering Perspective

Molecules ◽  
2021 ◽  
Vol 26 (11) ◽  
pp. 3095
Author(s):  
Alírio E. Rodrigues ◽  
Idelfonso Nogueira ◽  
Rui P.V. Faria
Keyword(s):  
Diffusion Model ◽  
Chemical Engineering ◽  
Reaction Engineering ◽  
Ternary Diagram ◽  
Future Research ◽  
Performance Parameters ◽  
Liquid Equilibrium ◽  
Research Directions ◽  
Future Research Directions

In the last two decades, scientific methodologies for the prediction of the design, performance and classification of fragrance mixtures have been developed at the Laboratory of Separation and Reaction Engineering. This review intends to give an overview of such developments. It all started with the question: what do we smell? The Perfumery Ternary Diagram enables us to determine the dominant odor for each perfume composition. Evaporation and 1D diffusion model is analyzed based on vapor-liquid equilibrium and Fick’s law for diffusion giving access to perfume performance parameters. The effect of matrix and skin is addressed and the trail of perfumes analyzed. Classification of perfumes with the perfumery radar is discussed. The methodology is extended to flavor and taste engineering. Finally, future research directions are suggested.

scholarly journals Status, issues, and future of computer-aided part orientation for additive manufacturing

2021 ◽  
Author(s):  
Yuchu Qin ◽  
Qunfen Qi ◽  
Peizhi Shi ◽  
Paul J. Scott ◽  
Xiangqian Jiang
Keyword(s):  
Additive Manufacturing ◽  
Objective Function ◽  
Future Research ◽  
Research Directions ◽  
Computer Aided ◽  
Future Research Directions ◽  
The Common ◽  
Part Orientation

AbstractPart orientation is a critical task in the process of additive manufacturing product realisation. Recently, various computer-aided methods for this task have been presented in the literature. The coexistence of different methods generates a series of questions: What are the common characteristics of these methods? What are the specific characteristics of each method? What are the main issues in computer-aided part orientation for additive manufacturing currently? What are the potential research directions in this field in the future? To approach these questions, a review of the existing computer-aided part orientation methods for additive manufacturing is presented in this paper. This review starts with a clarification of a part orientation problem and a classification of the existing methods into two categories according to their process of solving the problem. An overview of the representative methods in each category is then carried out from the aspects of approaches for orientation search, generation, or selection, estimation of build orientation factors, determination of weights of factors, establishment of overall objective function, and demonstration of effectiveness. After that, a discussion about the main issues in computer-aided part orientation for additive manufacturing is documented based on the overview. Finally, a suggestion of some future research directions in this field is reported.

scholarly journals Research on Neural Style Transfer

2021 ◽  
Vol 2079 (1) ◽  
pp. 012029
Author(s):  
Xueyuan Liu
Keyword(s):  
Neural Network ◽  
Deep Learning ◽  
Future Research ◽  
Research Directions ◽  
Style Transfer ◽  
Qualitative And Quantitative ◽  
Existing Problems ◽  
Future Research Directions ◽  
Application Prospects

Abstract The process of using CNN (Convolutional Neural Network) to blend the contents of a picture with different styles is called neural style transfer (NST). The purpose of this paper is to introduce current progress of NST, and introduce in detail the classification of the main NST algorithms based on deep learning, and make qualitative and quantitative comparisons of different algorithms, and then analyze the application prospects of image style migration in related fields, and finally summarize the existing problems and future research directions of NST.

scholarly journals A Review of Blockchain Architecture and Consensus Protocols: Use Cases, Challenges, and Solutions

2019 ◽  
Author(s):  
Leila Ismail ◽  
Huned Materwala
Keyword(s):  
Smart Cities ◽  
Distributed Databases ◽  
Distributed Applications ◽  
Future Research ◽  
Research Directions ◽  
Blockchain Technology ◽  
Digital Ecosystem ◽  
Smart Healthcare ◽  
Future Research Directions

ver the last decade the blockchain technology has emerged to provide solutions to the complexity, performance and privacy challenges of using distributed databases. Over this time, the concept of blockchain has shifted greatly due to the rapidly evolving distributed applications in a collaborative ecosystem such as smart cities, social networking, governance, and smart healthcare, and the ultimate need for green computing, cost reduction for customers, and business growth for enterprises. Consequently, blockchain architecture has misaligned with the goals for a green collaborative digital ecosystem. Therefore, it becomes critical to address this vent and to build new frameworks to align blockchain with those goals. In this paper, we discuss the evolution of blockchain architecture and its consensus protocols, bringing a retrospective analysis and discussing the rationale of the evolution of the various architectures and protocols, as well as capturing the assumptions conducting to their development and contributions to building collaborative applications. We introduce a classification of those architectures and provide insights for future research directions in the field.

Methods and Techniques of Data Mining

2021 ◽  
pp. 749-767
Author(s):  
Ana Funes ◽  
Aristides Dasso
Keyword(s):  
Artificial Intelligence ◽  
Data Mining ◽  
Research And Development ◽  
Knowledge Acquisition ◽  
Future Research ◽  
Research Directions ◽  
New Methods ◽  
Methods And Techniques ◽  
Future Research Directions

Nowadays, there is an increasing number of applications where artificial intelligence has fuelled the research and development of new methods, techniques, and tools related to knowledge acquisition and data mining. The development of data mining and other related disciplines has benefited from the existence of large volumes of data proceeding from the most diverse sources and domains. KDD process and methods of data mining allows for the discovery of knowledge in data that is hidden to humans, presenting this knowledge under different ways. In this chapter, the relation of data mining with other disciplines is analyzed, an overview of data mining tasks and methods is presented, and also a possible classification of them is given. Finally, a brief discussion on issues associated to the discipline and future research directions are also given.

scholarly journals Integrated Diagnostics and Prognostics of Rotating Machinery

1999 ◽  
Vol 5 (1) ◽  
pp. 35-40
Author(s):  
Kam W. Ng
Keyword(s):  
Data Model ◽  
Rotating Machinery ◽  
Future Research ◽  
Research Directions ◽  
Technical Issues ◽  
Future Research Directions ◽  
Machine Interface ◽  
Failure Models ◽  
Integrated Diagnostics

This paper provides an overview of current research efforts in integrated diagnostics and prognostics of rotating machinery. Specifically, the following topics are discussed: sensing techniques and sensors; signal detection, identification and extraction; classification of faults; predictive failure models; data/model fusion; information management; and man–machine interface. Technical issues, recommendations, and future research directions are also addressed.

scholarly journals Modeling and control of piezoelectric inertia–friction actuators: review and future research directions

2015 ◽  
Vol 6 (2) ◽  
pp. 95-107 ◽  
Author(s):  
Y. F. Liu ◽  
J. Li ◽  
X. H. Hu ◽  
Z. M. Zhang ◽  
L. Cheng ◽  
...  
Keyword(s):  
Additional Benefit ◽  
Future Research ◽  
Review Of The Literature ◽  
Future Directions ◽  
Research Directions ◽  
Modeling And Control ◽  
Future Research Directions ◽  
General Architecture ◽  
And Control

Abstract. This paper provides a comprehensive review of the literature regarding the modeling and control of piezoelectric inertia–friction actuators (PIFAs). Examples of PIFAs are impact drive mechanisms (IDMs) and friction-driving actuators (FDAs). In this paper, the critical challenges are first identified in modeling and control of PIFAs. Second, a general architecture of PIFAs is proposed to facilitate the analysis and classification of the literature regarding modeling and control of PIFAs. This general architecture covers all types of PIFAs (e.g., FDAs, IDMs) and thus serves as a general conceptual model of PIFAs. There is an additional benefit with this general architecture of PIFAs, namely that it is conducive to innovation in PIFAs, as new specific PIFAs may be designed in order to tailor to a specific application (for example, both FDAs and IDMs are viewed as specific PIFAs). Finally, the paper presents future directions in modeling and control for further improvement of the performance of PIFAs.

Netnography

2021 ◽  
Vol 17 (4) ◽  
pp. 63-83
Author(s):  
Inderjeet Kaur ◽  
Diptanshu Gaur ◽  
Ashwani Kumar ◽  
Fatmah Mohmmad H. Alatawi
Keyword(s):  
Social Media ◽  
New Age ◽  
Future Research ◽  
Consumer Experience ◽  
Digital Government ◽  
Research Directions ◽  
Future Research Directions ◽  
Media Research ◽  
Brand Hate

Netnography has emerged as the dominant social media research that allows researchers to understand and assimilate available knowledge for practical insights. However, limited awareness inhibits its development. This systematic literature review attempts to understand the evolution of netnography under the research domain to promote its usage and determine future research directions. The study revealed four broad clusters of the literature based on their prevalence: consumer experience and behaviour, phenomena and events, social media, and digital government. The study also highlights the limited development of new-age phenomena such as brand hate, cyber tourism, and special interest tourism. The study contributes to the domain of netnography in two ways: first by providing a thematic classification of the studies conducted in the decade of 2009-21 and second by suggesting potential future research directions, including scientific inquiry on the new-age phenomena blooming due to high internet penetration.

A Resource-Based Typology of Dynamic Capability: Managing Tourism in a Turbulent Environment

2021 ◽  
pp. 004728752110149
Author(s):  
Yawei Jiang ◽  
Brent W. Ritchie ◽  
Martie-Louise Verreynne
Keyword(s):  
Dynamic Capabilities ◽  
Three Dimensions ◽  
Dynamic Capability ◽  
Future Research ◽  
Research Directions ◽  
Future Research Directions ◽  
Depth Interviews ◽  
Advance Knowledge ◽  
Practical Implications

This study develops a typology of dynamic capabilities to advance knowledge on how tourism organizations can manage disruptive external changes. It uses the context of a natural disaster. The article goes beyond a simple classification of organizational activities in responding to crises/disasters to create a typology of 12 dynamic capabilities. The typology is based on three dimensions that align with the disaster life cycle, source of resources, and deployment of resources. This study also provides empirical explanations for each type of dynamic capability, using qualitative data collected from 40 in-depth interviews with tourism organizations and other stakeholders across two years. Several practical implications and future research directions are provided based on the findings and limitations of the study.

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