scholarly journals A high-level modeling framework for the design and optimization of complex CT functions

Author(s):  
Philippe Benabes ◽  
Catalin-Adrian Tugui
Author(s):  
Marielba Zacarias ◽  
Rodrigo Magalhaes ◽  
Artur Caetano ◽  
H. Sofia Pinto ◽  
Jose Tribolet

Human beings are, by nature, self-aware beings. This capacity lets us know who we are, how we do things, and what we (and others) are doing at any particular moment. In organizations, self-awareness is an essential prerequisite for effective action, decision-making, and learning processes. However, it must be built and maintained by continuous interactions among their members. This chapter lays out the foundations of a comprehensive high-level modeling framework as a means for enhancing organizational self-awareness. The modeling framework encompasses an architecture and ontology, which puts together human, social, and organizational approaches with modeling frameworks coming from the computer sciences and IS/IT fields. The proposed approach is illustrated with two example applications which use the finer-grained concepts of the framework. An analysis of the implications of this approach and issues to be addressed is provided.


Author(s):  
Leonardo Rezende Juracy ◽  
Matheus Trevisan Moreira ◽  
Alexandre de Amory Morais ◽  
Alexandre F. Hampel ◽  
Fernando Gehm Moraes

Smart Cities ◽  
2021 ◽  
Vol 4 (2) ◽  
pp. 894-918
Author(s):  
Luís Rosa ◽  
Fábio Silva ◽  
Cesar Analide

The evolution of Mobile Networks and Internet of Things (IoT) architectures allows one to rethink the way smart cities infrastructures are designed and managed, and solve a number of problems in terms of human mobility. The territories that adopt the sensoring era can take advantage of this disruptive technology to improve the quality of mobility of their citizens and the rationalization of their resources. However, with this rapid development of smart terminals and infrastructures, as well as the proliferation of diversified applications, even current networks may not be able to completely meet quickly rising human mobility demands. Thus, they are facing many challenges and to cope with these challenges, different standards and projects have been proposed so far. Accordingly, Artificial Intelligence (AI) has been utilized as a new paradigm for the design and optimization of mobile networks with a high level of intelligence. The objective of this work is to identify and discuss the challenges of mobile networks, alongside IoT and AI, to characterize smart human mobility and to discuss some workable solutions to these challenges. Finally, based on this discussion, we propose paths for future smart human mobility researches.


2014 ◽  
Vol 599-601 ◽  
pp. 530-533
Author(s):  
Hong Hao Wang ◽  
Hui Quan Wang ◽  
Zhong He Jin

Due to the complex timing sequence of NAND flash, a unified design process is urgently required to guarantee the reliability of storage system of nano-satellite. Unified Modeling Language (UML) is a widely used high level modeling language for object-oriented design. This paper adopts the UML as the design and modelling tool in the low level storage system design to elaborate the UML application in each phase of design in detail. The result shows taking UML as the modelling tool results in a clear and unambiguity design, which promotes the reliability and quality of software. At last, the feasibility of object-oriented implementation in C is presented.


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