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 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.

Increasing the Performability of Wireless Web Services

2009 ◽  
pp. 518-528
Author(s):  
Wenbing Zhao
Keyword(s):  
Wireless Communication ◽  
Web Services ◽  
Mobile Devices ◽  
Future Research ◽  
Battery Life ◽  
Research Directions ◽  
Computing Power ◽  
Network Bandwidth ◽  
Technical Issues ◽  
Future Research Directions

Wireless Web services are becoming a reality, if they have not already. The unique characteristics of the mobile devices and wireless communication medium, such as limited computing power, limited network bandwidth, limited battery life, unpredictable online time, mobility, and so forth,, imply that the infrastructure for wireless Web services will be very different from its wired counterpart. This chapter discusses the challenges and the stateof- the-art solutions to ensure highly performable wireless Web services. In particular, this chapter’s focus is on three technical issues: optimization of the wireless Web services messaging protocol, caching, and fault tolerance. Finally, limitations of the current approaches and an outline of future research directions on wireless Web services are also discussed.

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.

Hardware Acceleration for Embedded Keyword Spotting: Tutorial and Survey

2021 ◽  
Vol 20 (6) ◽  
pp. 1-25
Author(s):  
J. S. P. Giraldo ◽  
Marian Verhelst
Keyword(s):  
Hardware Acceleration ◽  
Future Research ◽  
Keyword Spotting ◽  
Qualitative Comparison ◽  
Research Directions ◽  
Current Design ◽  
Future Research Directions ◽  
Machine Interface ◽  
Hardware Platforms ◽  
Real Challenge

In recent years, Keyword Spotting (KWS) has become a crucial human–machine interface for mobile devices, allowing users to interact more naturally with their gadgets by leveraging their own voice. Due to privacy, latency and energy requirements, the execution of KWS tasks on the embedded device itself instead of in the cloud, has attracted significant attention from the research community. However, the constraints associated with embedded systems, including limited energy, memory, and computational capacity, represent a real challenge for the embedded deployment of such interfaces. In this article, we explore and guide the reader through the design of KWS systems. To support this overview, we extensively survey the different approaches taken by the recent state-of-the-art (SotA) at the algorithmic, architectural, and circuit level to enable KWS tasks in edge, devices. A quantitative and qualitative comparison between relevant SotA hardware platforms is carried out, highlighting the current design trends, as well as pointing out future research directions in the development of this technology.

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.

Modular Reconfigurable Robotics

2019 ◽  
Vol 2 (1) ◽  
pp. 63-88 ◽  
Author(s):  
Jungwon Seo ◽  
Jamie Paik ◽  
Mark Yim
Keyword(s):  
State Of The Art ◽  
Low Cost ◽  
Future Research ◽  
Research Directions ◽  
Current State ◽  
Robot Systems ◽  
Technical Issues ◽  
Future Research Directions ◽  
Reconfigurable Robot ◽  
High Level

This article reviews the current state of the art in the development of modular reconfigurable robot (MRR) systems and suggests promising future research directions. A wide variety of MRR systems have been presented to date, and these robots promise to be versatile, robust, and low cost compared with other conventional robot systems. MRR systems thus have the potential to outperform traditional systems with a fixed morphology when carrying out tasks that require a high level of flexibility. We begin by introducing the taxonomy of MRRs based on their hardware architecture. We then examine recent progress in the hardware and the software technologies for MRRs, along with remaining technical issues. We conclude with a discussion of open challenges and future research directions.

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.

Overview of radiomics in prostate imaging and future directions

2021 ◽  
Author(s):  
Hwan-ho Cho ◽  
Chan Kyo Kim ◽  
Hyunjin Park
Keyword(s):  
Risk Groups ◽  
Analytical Models ◽  
Future Research ◽  
Imaging Data ◽  
Analytic Framework ◽  
Future Directions ◽  
Research Directions ◽  
Prostate Imaging ◽  
Technical Issues ◽  
Future Research Directions

Recent advancements in imaging technology and analysis methods have led to an analytic framework known as radiomics. This framework extracts comprehensive high-dimensional features from imaging data and performs data mining to build analytical models for improved decision support. Its features include many categories spanning texture and shape; thus, it can provide abundant information for precision medicine. Many studies of prostate radiomics have shown promising results in the assessment of pathological features, prediction of treatment response, and stratification of risk groups. Herein, we aimed to provide a general overview of radiomics procedures, discuss technical issues, explain various clinical applications, and suggest future research directions, especially for prostate imaging.

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