Deep Residual Learning-Based Cognitive Model for Detection and Classification of Transmitted Signal Patterns in 5G Smart City Networks

2021 ◽  
pp. 103290
Author(s):  
Ramsha Ahmed ◽  
Yueyun Chen ◽  
Bilal Hassan
Keyword(s):  
Smart City ◽  
Cognitive Model ◽  
Residual Learning ◽  
Transmitted Signal

Smart City and Digital Twins

2021 ◽  
pp. 243-264
Author(s):  
Sara Giaveno
Keyword(s):  
Smart City ◽  
Building Information Modeling ◽  
Information Modeling ◽  
3D City Models ◽  
3D City Model ◽  
Digital Twins ◽  
Building Information ◽  
City Model ◽  
Technical Features

The chapter proposed aims at facing the various implications underlying the smart city concept based on digital twins. The structure of the text is articulated in three main themes: the use of the term “smart city” and the role that technologies had in its definition; the “3D city model” meaning and the integration procedures between BIM (building information modeling) and GIS (geographic information system); the classification of 3D city models by use cases. The chapter can provide researchers with a detailed dissertation aimed at clarifying both the theoretical and technical features belonging to smart city and its related innovative technologies.

Brain tumor classification of microscopy images using deep residual learning

2016 ◽  
Author(s):  
Yota Ishikawa ◽  
Kiyotada Washiya ◽  
Kota Aoki ◽  
Hiroshi Nagahashi
Keyword(s):  
Brain Tumor ◽  
Tumor Classification ◽  
Residual Learning ◽  
Microscopy Images

scholarly journals System Modeling of the Smart City in Context of Land Management E-Service

Land Science ◽  
2021 ◽  
Vol 3 (1) ◽  
pp. p22
Author(s):  
Volodymyr Nazarenko
Keyword(s):  
Information System ◽  
Land Management ◽  
Smart City ◽  
City Planning ◽  
System Modeling ◽  
Scientific Work ◽  
Practical Implementation ◽  
Smart Systems ◽  
Digital Service

The smart city is a prominent field of research, which is at the intersection of broader fields of economics, social, and land sciences. Four core smart city research subfields were identified, specifically defined, and classified – urbanization, city planning, and governance, land and resources management. In this paper author presented a classification of modern smart city research tools and introduced smart city, conceptual research model. Information system is critical in describing underlying principles of modern urbanization processes and modeling it is processed effectively. This scientific work aims to address the challenges any new researcher in this field encounters, such as lack of extensive overview and classification of available tools. The list of major economic aspects of the smart city system and the main services, that city provides, are introduced and explained within the scope of this article. The author presents a conceptual model of a smart city from both a general scientific viewpoint as well as in the context of information system modeling. Data is a key component of any system modeling process as well as it is an essential part of tool classification. This paper places emphasis on data classification by its application and its research subfield. A great deal of attention is paid towards system modeling of land management subsystems in the context of smart city digital service. This article can serve as a theoretical foundation for further research and practical implementation of future smart systems.  

Cognitive Processes by using Finite State Machines

2011 ◽  
pp. 52-64
Author(s):  
Ismael Rodríguez ◽  
Manuel Núñez ◽  
Fernando Rubio
Keyword(s):  
Cognitive Processes ◽  
Cognitive Model ◽  
Intelligent Agent ◽  
Finite State Machines ◽  
State Machines ◽  
Occam’S Razor ◽  
The World ◽  
Finite State ◽  
Occam's Razor

Finite State Machines (FSM) are formalisms that have been used for decades to describe the behavior of systems. They can also provide an intelligent agent with a suitable formalism for describing its own beliefs about the behavior of the world surrounding it. In fact, FSMs are the suitable acceptors for right linear languages, which are the simplest languages considered in Chomsky’s classification of languages. Since Chomsky proposes that the generation of language (and, indirectly, any mental process) can be expressed through a kind of formal language, it can be assumed that cognitive processes can be formulated by means of the formalisms that can express those languages. Hence, we will use FSMs as a suitable formalism for representing (simple) cognitive models. We present an algorithm that, given an observation of the environment, produces an FSM describing an environment behavior that is capable to produce that observation. Since an infinite number of different FSMs could have produced that observation, we have to choose the most feasible one. When a phenomenon can be explained with several theories, Occam’s razor principle, which is basic in science, encourages choosing the simplest explanation. Applying this criterion to our problem, we choose the simplest (smallest) FSM that could have produced that observation. An algorithm is presented to solve this problem. In conclusion, our framework provides a cognitive model that is the most preferable theory for the observer, according to the Occam’s razor criterion.

Generalized Classification of Vulnerabilities of Interfaces to the Transport Infrastructure of the Smart City

2021 ◽  
Vol 27 (6) ◽  
pp. 330-336
Author(s):  
K. E. Izrailov ◽  
Keyword(s):  
Conceptual Model ◽  
Smart City ◽  
Subject Area ◽  
Transport Infrastructure ◽  
The Subject ◽  
Interface Devices

We consider the problem of classifying the vulnerabilities present in interface devices that are used in the interaction of people and components of the transport infrastructure of the Smart City. A conceptual model of the terminological base of the subject area is introduced, on the basis of which a unified classification of vulnerabilities is synthesized. A formal record of vulnerability classes is given, as well as their examples.

Dubai and Barcelona as Smart Cities: Some Reflections on Data Protection Law and Privacy

2021 ◽  
pp. 1-5
Author(s):  
Radwan Eskhita ◽  
Vijaya Kittu Manda ◽  
Arbia Hlali
Keyword(s):  
Data Protection ◽  
Smart City ◽  
Smart Cities ◽  
Descriptive Analysis ◽  
Personal Data ◽  
Huge Amount ◽  
Shared Data ◽  
Data Protection Law

This study introduces a descriptive analysis to carry out the transformation of the Dubai smart city as a case study in the GCC region with reference to the Barcelona smart city. Furthermore, to investigate how the Dubai smart city will deal with the huge amount of the collected personal data through Internet of Things devices and applications. The theoretical analysis shows that the Barcelona smart city can be represented as an effective model, its innovations recommends to be used in Dubai smart city. The analysis founds that the classification of the collected data inside smart city to open and shared data did not provide sufficient privacy for personal data. Therefore, the personal data should be classified explicitly in order to be processed separately under the rules of the data protection law.

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