scholarly journals A Live Smart Parking Demonstrator: Architecture, Data Flows, and Deployment

Energies ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 1827
Author(s):  
Moussa Coulibaly ◽  
Ahmed Errami ◽  
Sofia Belkhala ◽  
Hicham Medromi
Keyword(s):  
Data Collection ◽  
Smart Cities ◽  
The Internet ◽  
Online Data ◽  
Work Related ◽  
Pricing Policies ◽  
Data Flows ◽  
Smart Parking ◽  
Multi Agent ◽  
Future Work

Smart Parking is essential for any future smart cities due to the tremendous growth of the car fleet. Such infrastructures require a certain amount of equipment. Indeed, smart parking integrates a lot of actors, to manage the parking its equipment must be managed accordingly. Here, is proposed a distributed architecture to manage them by collecting efficiently their data. Two types of data relating to the parking must be collected: those coming from the deployed equipment in the parking and those coming from the internet due to remote users. Thus, a system of two main servers based on the multi-agent concept is proposed. This system manages the parking platform. The first server is dedicated to the parking equipment data collection (Processing Server–PS). The second server (Processing Web Server–PWS) collects the users’ online data such as reservation, and it is responsible for pricing policies, and receive post-processed data from the Processing Server. The parking equipment integrates a lot of commercial solutions, an intelligent multi-platform application based on this two server philosophy is developed and can be used for parking operation by users and parking managers. The flowcharts of the agents from the two mains servers are presented. These flowcharts are currently used in our demonstrator and still under improvements. Here, we present the architecture (hardware and software) of our smart parking demonstrator developed by our department and suitable for the experimentation of our future work related to this hot topic.

scholarly journals Towards an Agent-Based Architecture using Deep Reinforcement Learning for Intelligent Internet of Things Applications.pdf

2020 ◽  
Author(s):  
Dhouha Ben Noureddine ◽  
Moez Krichen ◽  
Seifeddine Mechti ◽  
Tarik Nahhal ◽  
Wilfried Yves Hamilton Adoni
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Agent Technology ◽  
Smart Manufacturing ◽  
The Internet ◽  
Agent Based ◽  
Multi Agent ◽  
Iot Devices ◽  
Future Work ◽  
Share Information

Internet of Things (IoT) is composed of many IoT devices connected throughout the Internet, that collect and share information to represent the environment. IoT is currently restructuring the actual manufacturing to smart manufacturing. However, inherent characteristics of IoT lead to a number of titanic challenges such as decentralization, weak interoperability, security, etc. The artificial intelligence provides opportunities to address IoT’s challenges, e.g the agent technology. This paper presents first an overview of ML and discusses some related work. Then, we briefly present the classic IoT architecture. Then we introduce our proposed Intelligent IoT (IIoT) architecture. We next concentrate on introducing the approach using multi-agent DRL in IIoT. Finally, in this promising field, we outline the open directions of future work.

Four Internets

2021 ◽  
Author(s):  
Kieron O'Hara ◽  
Wendy Hall ◽  
Vinton Cerf
Keyword(s):  
Smart Cities ◽  
The Internet ◽  
The European Union ◽  
Technical Standards ◽  
Data Flows ◽  
Legal Administration ◽  
The 1960S ◽  
Market Solutions ◽  
Internet Development ◽  
The Internet Of Things

The book describes the Internet, and how Internet governance prevents it fragmenting into a ‘Splinternet’. Four opposing ideologies about how data flows around the network have become prominent because they are (a) implemented by technical standards, and (b) backed by influential geopolitical entities. Each of these specifies an ‘Internet’, described in relation to its implementation by a specific geopolitical entity. The four Internets of the title are: the Silicon Valley Open Internet, developed by pioneers of the Internet in the 1960s, based on principles of openness and efficient dataflow; the Brussels Bourgeois Internet, exemplified by the European Union, with a focus on human rights and legal administration; the DC Commercial Internet, exemplified by the Washington establishment and its focus on property rights and market solutions; and the Beijing Paternal Internet, exemplified by the Chinese government’s control of Internet content. These Internets have to coexist if the Internet as a whole is to remain connected. The book also considers the weaponization of the hacking ethic as the Moscow Spoiler model, exemplified by Russia’s campaigns of misinformation at scale; this is not a vision of the Internet, but is parasitic on the others. Each of these ideologies is illustrated by a specific policy question. Potential future directions of Internet development are considered, including the policy directions that India might take, and the development of technologies such as artificial intelligence, smart cities, the Internet of Things, and social machines. A conclusion speculates on potential future Internets that may emerge alongside those described.

Privacy and Online Data Collection

2011 ◽  
pp. 542-548
Author(s):  
Calin Gurau
Keyword(s):  
Data Collection ◽  
Online Privacy ◽  
Behavioral Data ◽  
The Internet ◽  
Online Interaction ◽  
Online Data ◽  
Controversial Subject ◽  
Internet Users ◽  
Online Data Collection

Online privacy represents a controversial subject for Internet users and online companies alike. Most Internet- active enterprises are using cookies or subscription forms to collect demographic and behavioral data about the Internet users that visit their sites. In exchange, these companies are promising the personalization of online interaction between company and customer, and therefore better value for clients. In addition to these benefits, many firms promise in their privacy disclaimer to use the collected data only for purposes specifically accepted by clients.

scholarly journals Machine Learning Applications: The Past and Current Research Trend in Diverse Industries

Inventions ◽  
2019 ◽  
Vol 4 (1) ◽  
pp. 8 ◽  
Author(s):  
Omid Ameri Sianaki ◽  
Ashkan Yousefi ◽  
Azadeh Tabesh ◽  
Mehregan Mahdavi
Keyword(s):  
Machine Learning ◽  
Big Data ◽  
Data Collection ◽  
Internet Of Things ◽  
Smart Cities ◽  
Research Trend ◽  
The Internet ◽  
Process Data ◽  
Learning Techniques ◽  
Machine Learning Applications

Dramatic changes in the way we collect and process data has facilitated the emergence of a new era by providing customised services and products precisely based on the needs of clients according to processed big data. It is estimated that the number of connected devices to the internet will pass 35 billion by 2020. Further, there has also been a massive escalation in the amount of data collection tools as Internet of Things devices generate data which has big data characteristics known as five V (volume, velocity, variety, variability and value). This article reviews challenges, opportunities and research trends to address the issues related to the data era in three industries including smart cities, healthcare and transportation. All three of these industries could greatly benefit from machine learning and deep learning techniques on big data collected by the Internet of Things, which is named as the internet of everything to emphasise the role of connected devices for data collection. In the smart grid portion of this paper, the recently developed deep reinforcement learning techniques and their applications in Smart Cities are also presented and reviewed.

scholarly journals Smart parking management using the internet of things

2019 ◽  
Vol 7 (2) ◽  
Author(s):  
Hadi Ghahremani ◽  
Shiva Taghipour Eivazi ◽  
Amir Aghaei Anvigh
Keyword(s):  
Internet Of Things ◽  
Waiting Time ◽  
Smart Cities ◽  
Minimum Cost ◽  
The Internet ◽  
Main Requirement ◽  
Parking Lot ◽  
Parking Management ◽  
Smart Parking ◽  
The Internet Of Things

The main requirement of smart cities is intelligent and effective parking system, which currently most parking systems exist basedon various technologies such as Internet of Things, so intelligent parking management is gradually becoming a necessity. Hence inthis article a new manner is introduced in the form of prioritization, which alters the type of prioritization than the previous methods, sothat the different parameters such as the distance between parking lots, distance between vehicle and a parking lot, number of freeparking spaces in the destination parking lot, number of unsuccessful parks, and the number of parking lot visits are considered, and ingeneral a system is recommended that helps drivers to find a parking lot with the minimum cost based on the aforesaid parameters. Thesimulation of proposed approach performed in Arena application and the results of the simulation and its comparison with theprevious works suggest that the proposed method results in the better decrease of the waiting time than the existing waiting timein the previous works and contributes to minimize drivers waiting time.

scholarly journals Towards an Agent-Based Architecture using Deep Reinforcement Learning for Intelligent Internet of Things Applications.pdf

2020 ◽  
Author(s):  
Dhouha Ben Noureddine ◽  
Moez Krichen ◽  
Seifeddine Mechti ◽  
Tarik Nahhal ◽  
Wilfried Yves Hamilton Adoni
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Agent Technology ◽  
Smart Manufacturing ◽  
The Internet ◽  
Agent Based ◽  
Multi Agent ◽  
Iot Devices ◽  
Future Work ◽  
Share Information

Internet of Things (IoT) is composed of many IoT devices connected throughout the Internet, that collect and share information to represent the environment. IoT is currently restructuring the actual manufacturing to smart manufacturing. However, inherent characteristics of IoT lead to a number of titanic challenges such as decentralization, weak interoperability, security, etc. The artificial intelligence provides opportunities to address IoT’s challenges, e.g the agent technology. This paper presents first an overview of ML and discusses some related work. Then, we briefly present the classic IoT architecture. Then we introduce our proposed Intelligent IoT (IIoT) architecture. We next concentrate on introducing the approach using multi-agent DRL in IIoT. Finally, in this promising field, we outline the open directions of future work.

scholarly journals A Rapid Review of Internet Mediated Research Methods with People with Dementia: Practical, Technical and Ethical Considerations

2021 ◽  
Author(s):  
Tharin Phenwan ◽  
Judith Sixsmith ◽  
Linda McSwiggan ◽  
Deans Buchanan
Keyword(s):  
Data Collection ◽  
Rapid Review ◽  
The Internet ◽  
Ethical Challenges ◽  
Online Data ◽  
Face To Face ◽  
Qualitative Approaches ◽  
People With Dementia ◽  
Online Methods ◽  
High Degree

Doing research with People with Dementia (PwD) can be challenging given that disease symptoms of anxiety, forgetfulness, and fluctuating mental capacity can make recruitment and data collection difficult. Once COVID-19 made face-to-face data collection impractical, using internet-based methods became an alternative option to continue with research. However, data collection with PwD over the internet requires strategies to observe, support, and enable them to engage with research, especially with qualitative approaches. Nine articles were selected via a decade rapid scoping review (undertaken March-June 2020) to identify qualitative online methods used with PwD and associated challenges. Methods used were online interviews, clinical assessment/telemedicine, and textual analysis from blogs, forum posts, and Tweets created by PwD. Practical challenges identified: the researchers’ limited ability to manage the physical and social environment. Technical challenges identified: the need for a high degree of technical support for participants prior and during data collection. Ethical challenges identified, negotiating confidentiality, obtaining valid informed consent, and ensuring data security. Implicit findings found related to how researchers perceived and treated online data retrieved from the internet and how the challenges mentioned in the included articles did not link to dementia symptoms.

scholarly journals Dataverzameling via internet: een update

2005 ◽  
Vol 18 (3) ◽  
Author(s):  
Toon Taris ◽  
Paul Schreurs ◽  
Kees Jan Sepmeijer
Keyword(s):  
Data Collection ◽  
Data Entry ◽  
The Internet ◽  
Web Based ◽  
Work Related ◽  
Internet Users ◽  
Confirmatory Factor ◽  
Pros And Cons ◽  
Collection Practices ◽  
Gathering Data

Web-based data collection: an update Web-based data collection: an update Toon Taris, Paul Schreurs & Kees Jan Sepmeijer, Gedrag & Organisatie, Volume 18, June 2005, nr. 3, pp. 181-195 The rapid increase in the number of internet users has given web-based surveys the potential to become a powerful tool in survey research. The present study discusses the pros and cons of this technique for gathering data. Pros include speed, cost effectiveness and exclusion of interviewer and data entry errors; cons include low response rates, selective response, and possible problems with data quality. As an illustration we present the results of a study among well over 45,000 Dutch home care employees, showing that men, higher educated and younger employees were more likely to respond through the internet than others. Confirmatory factor analysis revealed that whereas the factor structures of selected work-related concepts were similar for respondents who used the internet vs. other respondents, their average scores differed strongly. Implications of these findings on data collection practices in social, work and organizational psychology are discussed.

scholarly journals Evaluating ThingSpeak as an IoT Event Platform on building a Smart Parking Application

2019 ◽  
Author(s):  
Aluizio Rocha ◽  
Arthur Souza ◽  
Dannylo Johnathan ◽  
Gibeon Aquino ◽  
Rafael Queiroz ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Smart Cities ◽  
Cloud Service ◽  
The Internet ◽  
Iot Platform ◽  
Ubiquitous Systems ◽  
New Models ◽  
Smart Parking ◽  
Computational Systems ◽  
The Internet Of Things

Many technologies are needed to build computational systems in the context of Smart Cities. At present, the construction of scalable, intelligent and ubiquitous systems is a constant challenge for developers. The evolution of the Internet of Things is one of the several paths to be pursued with the aid of this development. In this way, new models and platforms have been proposed to support the development of its applications. Allied to this challenge this work presents a generic and a conceptual model of an IoT application for Smart Parking. This model is implemented as RFID and RaspberryPi. In addition, it eval- uates the ThingSpeak cloud service for its use as an IoT platform.

scholarly journals The Internet of Things Readiness in Public Organization: Descriptive Analysis

2021 ◽  
Vol 12 (3) ◽  
pp. 2017-2022
Author(s):  
Norjanah Sulaiman Et.al
Keyword(s):  
Internet Of Things ◽  
Smart Cities ◽  
Descriptive Analysis ◽  
The Internet ◽  
Public Organization ◽  
Road Map ◽  
Five Factors ◽  
Management Perspective ◽  
Future Work ◽  
The Internet Of Things

The Internet of Things (IoT) is a system of interrelated computing devices.  IoT involves mechanical and digital machines, objects, animals or people that are indicated with unique identifiers and the ability to transfer data over a network without requiring human-to-human as well as human-to-computer interaction.  Government of Malaysia in 2015 has introduced the National Internet of Things Strategic Road Map as a way to provide the backbone of modern and smart cities as well to sustain the economic growth.  However, the factors influencing IoT readiness in Malaysian organization needs to be further investigated. The purpose of this study is to investigate, identify and propose the readiness factors of IoT implementation.  A survey involving a distribution of questionnaire to 30 respondents to get a descriptive indication coupled with interviews with 5 key expert employees from relevant agencies were executed. As a result, there are five factors being proposed and validated descriptively to influence the readiness of implementing IoT in Malaysia.  These factors are Human Perspective, Technology Perspective, Governance and Management Perspective, Security Perspective and Policy and Law Perspective. For future work, this study suggest to include more participants using power statistics, hypothetical model testing and expand the questionnaire to other organization in order to develop a more comprehensive result ofIoT readiness in Malaysia.

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