scholarly journals Mobile-based system for cost-effective e-learning contents delivery in resource and bandwidth constrained learning environments

2014 ◽  
pp. 449-463 ◽  
Keyword(s):  
Information And Communication Technologies ◽  
Smart City ◽  
Smart Cities ◽  
Cost Effective ◽  
Content Delivery ◽  
The Internet ◽  
Learning Content ◽  
High Dependency ◽  
Constrained Environments ◽  
E Learning

The advancement in Information and Communication Technologies (ICTs) has brought opportunities for the development of Smart Cities. The Smart City uses ICT to enhance performance and wellbeing, to reduce costs and resource consumption, and to engage more effectively and actively with its citizens. In particular, the education sector is adopting new ways of learning in Higher Education Institutions (HEIs) through e-learning systems. While these opportunities exist, e-learning content delivery and accessibility in third world countries like Tanzania is still a challenge due to resource and network constrained environments. The challenges include: high cost of bandwidth connection and usage; high dependency on the Internet; limited mobility and portability features; inaccessibility during the offline period and shortage of ICT facilities. In this paper, we investigate the use of mobile technology to sustainably support education and skills development particularly in developing countries. Specifically, we propose a Cost-effective Mobile Based Learning Content Delivery system for resource and network constrained environments. This system can be applied to cost-effectively broaden and support education in many cities around the world, which are approaching the 'Smart City' concept in their own way, even with less available technology infrastructure. Therefore, the proposed solution has the potential to reduce the cost of the bandwidth usage, and cut down the server workload and the Internet usage overhead by synchronizing learning contents from some remote server to a local database in the user’s device for offline use. It will also improve the quality of experience and participation of learners as well as facilitate mobility and portability in learning activities, which also supports the all-compassing learning experience in a Smart City.

scholarly journals Smart cities IOT & Digital network connectivity devices: Optimization on business in Africa

2021 ◽  
pp. 064-071
Author(s):  
Makeri Yakubu Ajiji ◽  
Xi’an Jiaotong Victor Chang ◽  
Targio Hashem Ibrahim Abaker ◽  
Uzorka Afam ◽  
T Cirella Giuseppe
Keyword(s):  
Internet Of Things ◽  
Urban Communities ◽  
Information And Communication Technologies ◽  
Smart City ◽  
Urban Areas ◽  
Smart Cities ◽  
The Internet ◽  
City Development ◽  
Short Article ◽  
The Internet Of Things

Today the world is becoming connected. The number of devices that are connected are increasing day by day. Many studies reveal that about 50 billion devices would be connected by 2020 indicating that Internet of things have a very big role to play in the future to come Considering the perplexing engineering of Smart City conditions, it ought not to be failed to remember that their establishment lies in correspondence advancements that permit availability and information move between the components in Smart City conditions. Remote interchanges with their capacities speak to Smart City empowering advancements that give the open door for their fast and effective execution and extension as well. The gigantic weight towards the proficient city the board has triggered various Smart City activities by both government and private area businesses to put resources into Information and Communication Technologies to discover feasible answers for the assorted chances and difficulties (e.g., waste the executives). A few specialists have endeavored to characterize a lot of shrewd urban areas and afterward recognize openings and difficulties in building brilliant urban communities. This short article likewise expresses the progressing movement of the Internet of Things and its relationship to keen urban communities. Advancement in ICT and data sharing innovation are the drivers of keen city degree and scale. This quick development is changing brilliant city development with the beginning of the Internet of Things (IoT). This transformation additionally speaks to difficulties in building (Kehua, Li, and Fu ,Su et al.1). By knowing the attributes of specific advances, the experts will have the occasion to create proficient, practical, and adaptable Smart City frameworks by actualizing the most reasonable one.

Machine learning techniques based on security management in smart cities using robots

Work ◽  
2021 ◽  
pp. 1-12
Author(s):  
Zhang Mengqi ◽  
Wang Xi ◽  
V.E. Sathishkumar ◽  
V. Sivakumar
Keyword(s):  
Machine Learning ◽  
Information And Communication Technologies ◽  
Smart City ◽  
Smart Cities ◽  
Security Management ◽  
Machine Learning Techniques ◽  
Quality Of Services ◽  
Learning Techniques ◽  
Learning Concept

BACKGROUND: Nowadays, the growth of smart cities is enhanced gradually, which collects a lot of information and communication technologies that are used to maximize the quality of services. Even though the intelligent city concept provides a lot of valuable services, security management is still one of the major issues due to shared threats and activities. For overcoming the above problems, smart cities’ security factors should be analyzed continuously to eliminate the unwanted activities that used to enhance the quality of the services. OBJECTIVES: To address the discussed problem, active machine learning techniques are used to predict the quality of services in the smart city manages security-related issues. In this work, a deep reinforcement learning concept is used to learn the features of smart cities; the learning concept understands the entire activities of the smart city. During this energetic city, information is gathered with the help of security robots called cobalt robots. The smart cities related to new incoming features are examined through the use of a modular neural network. RESULTS: The system successfully predicts the unwanted activity in intelligent cities by dividing the collected data into a smaller subset, which reduces the complexity and improves the overall security management process. The efficiency of the system is evaluated using experimental analysis. CONCLUSION: This exploratory study is conducted on the 200 obstacles are placed in the smart city, and the introduced DRL with MDNN approach attains maximum results on security maintains.

scholarly journals Embodied AI-Driven Operation of Smart Cities: A Concise Review

2021 ◽  
Author(s):  
FARZAN SHENAVARMASOULEH ◽  
Farid Ghareh Mohammadi ◽  
M. Hadi Amini ◽  
Hamid R. Arabnia
Keyword(s):  
Information And Communication Technologies ◽  
Smart City ◽  
Smart Cities ◽  
Communication Technologies ◽  
Autonomous Driving ◽  
Future Research ◽  
Intelligent Network ◽  
Concise Review ◽  
Information And Communication ◽  
Cloud Technologies

<div>A smart city can be seen as a framework, comprised of Information and Communication Technologies (ICT). An intelligent network of connected devices that collect data with their sensors and transmit them using wireless and cloud technologies in order to communicate with other assets in the ecosystem plays a pivotal role in this framework. Maximizing the quality of life of citizens, making better use of available resources, cutting costs, and improving sustainability are the ultimate goals that a smart city is after. Hence, data collected from these connected devices will continuously get thoroughly analyzed to gain better insights into the services that are being offered across the city; with this goal in mind that they can be used to make the whole system more efficient.</div><div>Robots and physical machines are inseparable parts of a smart city. Embodied AI is the field of study that takes a deeper look into these and explores how they can fit into real-world environments. It focuses on learning through interaction with the surrounding environment, as opposed to Internet AI which tries to learn from static datasets. Embodied AI aims to train an agent that can See (Computer Vision), Talk (NLP), Navigate and Interact with its environment (Reinforcement Learning), and Reason (General Intelligence), all at the same time. Autonomous driving cars and personal companions are some of the examples that benefit from Embodied AI nowadays.</div><div>In this paper, we attempt to do a concise review of this field. We will go through its definitions, its characteristics, and its current achievements along with different algorithms, approaches, and solutions that are being used in different components of it (e.g. Vision, NLP, RL). We will then explore all the available simulators and 3D interactable databases that will make the research in this area feasible. Finally, we will address its challenges and identify its potentials for future research.</div>

Smart cities: existing security problems and their solutions

2020 ◽  
Vol 60 (11) ◽  
pp. 16-20
Author(s):  
Vugar Hajimahmud Abdullayev ◽  
◽  
Vusala Alyag Abuzarova ◽  
Keyword(s):  
Internet Of Things ◽  
Cyber Security ◽  
Smart City ◽  
Information Technologies ◽  
New Technologies ◽  
Smart Cities ◽  
Smart Devices ◽  
The Internet ◽  
It Industry ◽  
Internet Of Things Technology

The article is devoted to the study of cyber security problems in the Smart Cities system. The development of the IT industry has led to the introduction of new technologies into our lives. One of these technologies is the Internet of Things technology. The application of IoT technology has increased in recent years. One of the most important areas in which Internet of Things technology is applied is the Smart Cities system. The main difference between smart cities and other cities is that their components are connected to each other via the Internet. All these smart devices create a smart city system in general. One of the biggest and most important problems in many areas where the Internet is used is security. The article looks at possible security problems in the system of smart cities and solutions to ensure cyber security. Key words: Smart city; Internet of Things; Information technologies; Security; Cyber security

New Urban Layers and Spaces

2019 ◽  
pp. 72-103
Keyword(s):  
Information And Communication Technologies ◽  
Smart Cities ◽  
Communication Technologies ◽  
Research Literature ◽  
The Internet ◽  
Study Approach ◽  
Challenges And Opportunities ◽  
Information And Communication ◽  
Multiple Domains

This chapter explores infrastructures, experiences, and interactions in relation to emerging urban layers and spaces for engagement in the city. The purpose of this chapter is to shed light on the digital layers enabled by information and communication technologies, the internet of things, the internet of people, and other emerging technologies to complement and extend existing urban infrastructural layers. The research literature for infrastructures, experiences, and interactions is explored in this chapter in the context of smart cities, enabling identification of issues, controversies, and problems. Using an exploratory case study approach, solutions and recommendations are advanced. This chapter makes a contribution to 1) the research literature across multiple domains, 2) the identification of challenges and opportunities for research and practice relating to emerging urban layers and spaces going forward, and 3) the extending of existing understandings of urbanity to incorporate digital layers and spaces enabling connected, contextual, and continuous engagement.

Efficient Cyber Security Framework for Smart Cities

2019 ◽  
pp. 130-157 ◽  
Author(s):  
Amtul Waheed ◽  
Jana Shafi
Keyword(s):  
Cyber Security ◽  
Smart City ◽  
Smart Cities ◽  
Cost Effective ◽  
Cyber Attacks ◽  
Security And Privacy ◽  
Sensitive Information ◽  
Security Framework ◽  
Smart Transportation ◽  
Security Issues

Smart cities are established on some smart components such as smart governances, smart economy, science and technology, smart politics, smart transportation, and smart life. Each and every smart object is interconnected through the internet, challenging the security and privacy of citizen's sensitive information. A secure framework for smart cities is the only solution for better and smart living. This can be achieved through IoT infrastructure and cloud computing. The combination of IoT and Cloud also increases the storage capacity and computational power and make services pervasive, cost-effective, and accessed from anywhere and any device. This chapter will discuss security issues and challenges of smart city along with cyber security framework and architecture of smart cities for smart infrastructures and smart applications. It also presents a general study about security mechanism for smart city applications and security protection methodology using IOT service to stand against cyber-attacks.

Secure Routing Protocols Using Trust-Based Mechanisms in the Internet of Things for Smart City Environment Challenges and Future Trends

2019 ◽  
pp. 103-129
Author(s):  
Aminu Bello Usman ◽  
Jairo A. Gutierrez ◽  
Abdullahi Baffa Bichi
Keyword(s):  
Internet Of Things ◽  
Communication Networks ◽  
Routing Protocols ◽  
Smart City ◽  
Smart Cities ◽  
The Internet ◽  
Future Trends ◽  
Secure Information ◽  
Secure Routing Protocols ◽  
The Internet Of Things

The internet of things (IoT) is expected to influence both architecture and infrastructure of current and future smart cities vision. Thus, the requirement and effectiveness of making cities smarter demands suitable provision of secure and efficient communication networks between IoT networking devices. Trust-based routing protocols play an important role in IoT for secure information exchange and communications between IoT networking elements. Thus, this chapter presents the foundation of trust-based protocols from social science to IoT for secure smart city environments. The chapter outlines and discusses the key ideas, notions, and theories that may help the reader to understand the current status and the possible future trends of trust-based protocols in IoT networks for smart cities. The chapter also discusses the implications, requirements, and future research challenges of trust-based protocols in IoT for smart cities.

Adaptive Content Delivery in E-Learning Systems using Mobile Agents

2012 ◽  
pp. 148-166 ◽  
Author(s):  
S. R. Mangalwede ◽  
D. H. Rao
Keyword(s):  
Mobile Agents ◽  
Educational Background ◽  
Content Delivery ◽  
Case Based Reasoning ◽  
Distributed Computing Systems ◽  
Learning Content ◽  
E Learning ◽  
Networking Technologies ◽  
Adaptive Content Delivery ◽  
Adaptive Content

The e-Learning refers to the use of networking technologies to create, foster, deliver and facilitate learning anytime, anywhere. This chapter discusses our research on personalization of e-Learning content based on the learner’s profile. After justifying the feasibility of using mobile agents in distributed computing systems for information retrieval, processing and mining, the authors deal with the relevance of mobile agents in e-Learning domain. The chapter discusses the proposed Case-Based Reasoning (CBR) as an approach to context-aware adaptive content delivery. Different parameters like technological, cultural and educational background of a learner are taken as the basis for forming the case-base that determines the type of content to be delivered. Along with the CBR, a diagnostic assessment to gauge an insight into the student’s current skills is done to determine the type of content to deliver. The implementation observations of such implementation vis-à-vis traditional e-Learning are also documented.

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