PRIPRO: A Comparison of Classification Algorithms for Managing Receiving Notifications in Smart Environments

With the evolution of technology over the years, it has become possible to develop intelligent environments based on the concept of the Internet of Things, distributed systems, and machine learning. Such environments are infused with various solutions to solve user demands from services. One of these solutions is the Ubiquitous Privacy (UBIPRI) middleware, whose central concept is to maintain privacy in smart environments and to receive notifications as one of its services. However, this service is freely performed, disregarding the privacy that the environment employs. Another consideration is that, based on the researched related work, it was possible to identify that the authors do not use statistical hypothesis tests in their solutions developed in the presented context. This work proposes an architecture for notification management in smart environments, composed by a notification manager named Privacy Notification Manager (PRINM) to assign it to UBIPRI and to aim to perform experiments between classification algorithms to delimit which one is most feasible to implement in the PRINM decision-making mechanism. The experiments showed that the J48 algorithm obtained the best results compared to the other algorithms tested and compared.

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PRIPRO: A Comparison of Classification Algorithms for Managing Receiving Notifications in Smart Environments

10.20944/preprints201911.0022.v1 ◽

2019 ◽

Author(s):

João Antonio Martins ◽

Iago Sestrem Ochôa ◽

Luis Augusto Silva ◽

André Filipe Sales Mendes ◽

Gabriel Villarrubia Gonzalez ◽

...

Keyword(s):

The Other ◽

Statistical Hypothesis ◽

The Internet ◽

Smart Environments ◽

Classification Algorithms ◽

Intelligent Environments ◽

Central Concept ◽

Evolution Of Technology ◽

To Receive ◽

The Internet Of Things

With the evolution of technology over the years, it has become possible to develop intelligent environments based on the concept of the Internet of Things, distributed systems, and machine learning. Such environments are incorporated with various solutions to solve user demands from services. One of these solutions is UBIPRI middleware, whose central concept is to maintain privacy in smart environments and to receive notifications as one of its services. However, this service is freely performed, disregarding the privacy that the environment employs. Another consideration is that based on the researched related works, it was possible to identify that the authors do not use statistical hypothesis tests in their solutions developed in the presented context. This work proposes an architecture for notification management in smart environments, composed by a notification manager named PRIPRO to assign it to UBIPRI and to aim to perform tests and comparisons between classification algorithms to delimit which one is most feasible to implement in the PRINM decision-making mechanism. The experiments showed that the J48 algorithm obtained the best results compared to the other algorithms tested and compared.

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Anti-Theft Box: Arduino Safety Box with IoT Notifications

International Journal of Recent Technology and Applied Science ◽

10.36079/lamintang.ijortas-0302.273 ◽

2021 ◽

Vol 3 (2) ◽

pp. 67-80

Author(s):

Mohamad Norul Hafiz Muzaffar Alfian ◽

Athirah Nabihah Mas Erwan ◽

Mohamad Syafiq Mohamad Adenan

Keyword(s):

Older Adults ◽

Internet Of Things ◽

Mobile Phone ◽

The Other ◽

The Internet ◽

Safe Place ◽

Perfect System ◽

Property Owners ◽

To Receive ◽

The Internet Of Things

Theft cases often go unnoticed and are everywhere we are. It can happen in public, at school, at work or even in your own home. Things like this often happen to teens and older adults. Some of them do not have a safe place to store their valuables because of their carelessness. This is because they do not take this seriously. On the other hand, they already have their own safety box which is a great example of keeping items from being stolen or robbed. With the Internet of Things (IoT), this safety box can be improved by adding features that make it even safer to receive notifications on a mobile phone when the safety box is opened. With these improvements, property owners will become more aware of their goods because not everyone around us can be trusted. The use of these notifications is an update that will be created to improve the security of your goods. The methodology used to carry out this project is called Prototyping Method. In this way, prototype can be said to be both a design and an example of an existing system, but not yet fully functional. Prototypes will outline how a system works, and most prototype systems are not yet the perfect system to run.

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Automatic control system based on iot data identification

Indonesian Journal of Electrical Engineering and Computer Science ◽

10.11591/ijeecs.v19.i3.pp1525-1532 ◽

2020 ◽

Vol 19 (3) ◽

pp. 1525

Author(s):

Hankil Kim ◽

Jaehyun Park ◽

Hoekyung Jung

Keyword(s):

Control System ◽

Internet Of Things ◽

Real Time ◽

Smart Home ◽

The Internet ◽

Smart Environments ◽

Industrial Iot ◽

Time Work ◽

To Receive ◽

The Internet Of Things

<p>Recently, as the Internet of Things (IoT) technology has developed, researches are rigorously conducted to construct smart environments such as smart home, smart grid, and industrial IoT. However, currently existing systems consists of a series of events, and even if an existing task is running, unnecessary work still occurs as both works happen simultaneously. In this paper, we propose an automatic work control system to solve this problem. The proposed system transmits the data measured by the sensor to the server and identifies non - real - time tasks such as real - time work which is related to the dangerous situations, ventilation and temperature control. In addition, priority among the tasks is set in a way that existing tasks are stopped when high priority tasks occur. Accordingly, this can reduce the unnecessary waste of power, and the user is able to receive a proactive service.</p>

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City with Smart Waste Management: Introducing Waste Bin Technologies

Nexo Revista Científica ◽

10.5377/nexo.v34i02.11628 ◽

2021 ◽

Vol 34 (02) ◽

pp. 1032-1038

Author(s):

Arya Majidi

Keyword(s):

Internet Of Things ◽

Adverse Effects ◽

Waste Management ◽

Smart Cities ◽

Human Life ◽

The Other ◽

The Internet ◽

Waste Collection ◽

Waste Production ◽

The Internet Of Things

Population growth and urbanization have led to an increase in the rate of waste production, the lack of timely and proper management of which will have adverse effects on human life and the environment. Since most of the waste management costs are spent on waste collection and transportation, it is necessary to find solutions to control the huge costs of this sector. On the other hand, today, intelligent technologies are used globally as solutions to meet challenges in various fields such as agriculture to improve agro-industrial production, transportation, and waste management, which creates a concept called smart cities. One of the categories that has changed the concept of cities and made them have easier and smarter answers to various events and needs is the "Internet of Things", in which many cases and infrastructures with new hardware technologies and Software are integrated. Waste collection is no exception to this rule and efforts have been made to make it smarter. In this research, some of the latest innovations presented globally in order to make trash smarter have been examined.

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Security Perspective of Cloud and Internet of Things With 5G Networks

Advances in Wireless Technologies and Telecommunication - Evolution of Software-Defined Networking Foundations for IoT and 5G Mobile Networks ◽

10.4018/978-1-7998-4685-7.ch002 ◽

2021 ◽

pp. 15-36

Author(s):

Neetu Faujdar

Keyword(s):

Internet Of Things ◽

Data Sharing ◽

The Other ◽

The Internet ◽

Cloud Environment ◽

Personal Safety ◽

5G Networks ◽

Security Attacks ◽

Use Of Internet ◽

The Internet Of Things

Pervasive computing has been greatly supported by the internet of things. The use of internet of things has created the environment that helps in the management of the different modules that are the part of the complete system, which can work effectively without the interference with the other components of the system. The cloud environment with the internet of things can help in getting the greater extend of data sharing. Little attention has been provided to the security of the various stakeholders that are the part of the system. IoT cloud integration involved privacy, security, and personal safety risk of the stakeholders. Not only are these types of security attacks possible, but there is also the possibility of attack on the IoT components like hardware manipulation to disrupt the services. As we are on the network, all the communication attacks of network are also possible. This chapter will cover common aspects of regarding the cloud and internet of things (IOT) with 5G networks.

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A Review on Edge Connectivity Framework for Handheld Computing

International Journal of Handheld Computing Research ◽

10.4018/ijhcr.2017100102 ◽

2017 ◽

Vol 8 (4) ◽

pp. 23-29

Author(s):

Rajaguru D. ◽

Puviyarasi T. ◽

Vengattaraman T.

Keyword(s):

Supply Management ◽

The Internet ◽

Smart Environments ◽

High Quality ◽

Handheld Device ◽

Handheld Computing ◽

Time Critical ◽

Near Future ◽

The Internet Of Things

The Internet of Things(IoT) such as the use of robots, sensors, actuators, electronic signalization and a variety of other internet-enabled physical devices may provide for new advanced smart applications to be used in construction in the very near future. Such applications require real-time responses and are therefore time-critical. Therefore, in order to support collaboration, control, monitoring, supply management, safety and other construction processes, they have to meet dependability requirements, including requirements for high Quality of Service (QoS). Dependability and high QoS can be achieved by using adequate number and quality of computing resources, such as processing, memory and networking elements, geographically close to the smart environments for handheld device computing (HDC).

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Trends in the Internet of Things (IoT) and Influence on the Industries’ Progress

International Journal of Engineering and Management Sciences ◽

10.21791/ijems.2020.1.15 ◽

2020 ◽

Vol 5 (1) ◽

pp. 176-187

Author(s):

Vahid Zeynvand Lorestani

Keyword(s):

Internet Of Things ◽

Capital Expenditure ◽

Critical Role ◽

The Other ◽

The Internet ◽

Considerable Influence ◽

Top Managers ◽

The Future ◽

The Internet Of Things

This research aims to investigate the critical role of the Internet of Things in the future of industries’ progress. For this purpose, a survey of 250 top managers across 13 industries has conducted. The objective was to find their view of point about what short and mega trends, in which sector will have the most considerable influence in the five years as well as 30 years ahead. Moreover, various technologies are also identified that will have the most importance in the future according to the majority of the respondents, such as Internet of things, Automation and Artificial Intelligence, and, on the other hand, the segments that capital expenditure is currently being directed towards, such as Energy Efficiency and Personalisation of Services.

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The Aquaponic Ecosystem Using IoT and IA Solutions

International Journal of Web-Based Learning and Teaching Technologies ◽

10.4018/ijwltt.20220901.oa2 ◽

2022 ◽

Vol 17 (5) ◽

pp. 1-15

Author(s):

Ibtissame Ezzahoui ◽

Rachida Ait Abdelhouahid ◽

Khaoula Taji ◽

Abdelaziz Marzak ◽

Fadoua Ghanimi

Keyword(s):

Water Pollution ◽

Internet Of Things ◽

Human Evolution ◽

Performance Measures ◽

Negative Impact ◽

The Other ◽

The Internet ◽

Smart Environment ◽

The Internet Of Things

For solving the negative impact of the human evolution in earth, water, pollution and quality of feed. A system of aquaponic is proposed to manage gardening and recover up to 90% of water used for plants. Aquaponic is a system that combines two names: aquaculture which is the farming of fish and hydroponic which is the cultivation of plants (off-soil). On the other hand, the possibility of using the phytotron system. The objective of this solution is to collect performance measures, to control the watering conditions of plants (water level, temperature, humidity, ...) With a cloud support and other possibilities offered by the internet of things (IoT). The paper at hand aim to provide a smart solution integrates the phytotron solution in order to control the first part wish is the hydroponic and the second part concerning the aquaculture in order to offer a smart environment for the cycle of fish’s life.

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The Internet of Things and Dual Layers of Ethical Concern

10.1093/oso/9780190652951.003.0015 ◽

2017 ◽

Author(s):

Adam Henschke

Keyword(s):

Internet Of Things ◽

Physical World ◽

Physical Layer ◽

Ethical Concern ◽

The Other ◽

The Internet ◽

Moral Pluralism ◽

Ethical Concerns ◽

The Internet Of Things

The internet of things (IoT), where objects can communicate with each other in a way that affects the physical world, will likely have a great impact on people and society at large. Like a massively distributed set of robots, its effects will be felt on both physical and information realms. After describing key elements of the IoT, this chapter summarizes major ethical concerns. For the physical layer, the primary ethical concerns center on safety, while the informational layer’s primary concerns are about controlling information. Given the two layers’ distinct ethical concerns, we face a problem of moral pluralism—which of these layers should take priority? Recognizing this pluralism, the chapter argues that designers, policymakers, and users not only must not pay attention to both layers, but may also have to prioritize one layer over the other.

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