IoT-Based Computational Modeling for Next Generation Agro-Ecosystems: Research Issues, Emerging Trends and Challenges

2021 ◽  
pp. 1-21
Author(s):  
Fatos Xhafa ◽  
Paul Krause
Keyword(s):  
Computational Modeling ◽  
Next Generation ◽  
Research Issues ◽  
Emerging Trends

scholarly journals Bringing Mid-Ocean Ridge Discoveries to Audiences Far and Wide: Emerging Trends for the Next Generation

Oceanography ◽  
2012 ◽  
Vol 25 (1) ◽  
pp. 286-298 ◽  
Author(s):  
Liz Goehring ◽  
Véronique Robigou ◽  
Katherine Ellins
Keyword(s):  
Next Generation ◽  
Emerging Trends ◽  
Mid Ocean Ridge ◽  
Ocean Ridge

Research Issues for the Next Generation Spoken Dialogue Systems

1999 ◽  
pp. 1-9 ◽  
Author(s):  
E. Nöth ◽  
F. Gallwitz ◽  
M. Aretoulaki ◽  
J. Haas ◽  
S. Harbeck ◽  
...  
Keyword(s):  
Dialogue Systems ◽  
Next Generation ◽  
Spoken Dialogue Systems ◽  
Spoken Dialogue ◽  
Research Issues

scholarly journals Emerging Trends in Phosphorene Fabrication towards Next Generation Devices

2017 ◽  
Vol 4 (6) ◽  
pp. 1600305 ◽  
Author(s):  
Sathish Chander Dhanabalan ◽  
Joice Sophia Ponraj ◽  
Zhinan Guo ◽  
Shaojuan Li ◽  
Qiaoliang Bao ◽  
...  
Keyword(s):  
Next Generation ◽  
Emerging Trends

RMS

2010 ◽  
pp. 52-60
Author(s):  
Vasdev Malhotra ◽  
Tilak Raj ◽  
Ashok Kumar
Keyword(s):  
Pervasive Computing ◽  
Mass Production ◽  
Manufacturing Systems ◽  
Life Cycles ◽  
Reconfigurable Manufacturing Systems ◽  
Reconfigurable Manufacturing ◽  
Next Generation ◽  
Research Issues ◽  
Manufacturing Operations ◽  
Production Techniques

Today, markets increasingly require more customized products, with shorter life cycles. In response, manufacturing systems have evolved from mass production techniques to the ?exible automation. This paper argues that manufacturing systems of the next generation will have to incorporate more ?exibility and intelligence, evolving towards recon?gurable manufacturing systems. In particular, the concept of intelligence becomes more relevant because of the need to maintain e?ective and e?cient manufacturing operations with minimum downtime under conditions of uncertainty. This chapter presents some research issues related to the development of reconfigurable manufacturing systems with pervasive computing.

Database Systems for Big Data Storage and Retrieval

2018 ◽  
pp. 76-100 ◽  
Author(s):  
Venkat Gudivada ◽  
Amy Apon ◽  
Dhana L. Rao
Keyword(s):  
Big Data ◽  
Data Storage ◽  
Database Systems ◽  
Query Languages ◽  
Research Issues ◽  
Storage And Retrieval ◽  
Emerging Trends ◽  
Big Data Applications ◽  
Data Application ◽  
Big Data Application

Special needs of Big Data applications have ushered in several new classes of systems for data storage and retrieval. Each class targets the needs of a category of Big Data application. These systems differ greatly in their data models and system architecture, approaches used for high availability and scalability, query languages and client interfaces provided. This chapter begins with a description of the emergence of Big Data and data management requirements of Big Data applications. Several new classes of database management systems have emerged recently to address the needs of Big Data applications. NoSQL is an umbrella term used to refer to these systems. Next, a taxonomy for NoSQL systems is developed and several NoSQL systems are classified under this taxonomy. Characteristics of representative systems in each class are also discussed. The chapter concludes by indicating the emerging trends of NoSQL systems and research issues.

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