scholarly journals Structural optimization of Long Ethernet lines for use in automation systems of smart city and smart home

2020 ◽  
Vol 869 ◽  
pp. 022022 ◽  
Author(s):  
Andrey Semenov
Keyword(s):  
Structural Optimization ◽  
Smart City ◽  
Smart Home ◽  
Automation Systems

scholarly journals A Secure and Scalable Smart Home Gateway to Bridge Technology Fragmentation

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3587
Author(s):  
Ezequiel Simeoni ◽  
Eugenio Gaeta ◽  
Rebeca I. García-Betances ◽  
Dave Raggett ◽  
Alejandro M. Medrano-Gil ◽  
...  
Keyword(s):  
Smart Home ◽  
Home Automation ◽  
Dynamic Configuration ◽  
Home Gateway ◽  
Security Authentication ◽  
Living Lab ◽  
Automation Systems ◽  
Authentication And Authorization ◽  
Iot Devices ◽  
Bridge Technology

Internet of Things (IoT) technologies are already playing an important role in our daily activities as we use them and rely on them to increase our abilities, connectivity, productivity and quality of life. However, there are still obstacles to achieving a unique interface able to transfer full control to users given the diversity of protocols, properties and specifications in the varied IoT ecosystem. Particularly for the case of home automation systems, there is a high degree of fragmentation that limits interoperability, increasing the complexity and costs of developments and holding back their real potential of positively impacting users. In this article, we propose implementing W3C’s Web of Things Standard supported by home automation ontologies, such as SAREF and UniversAAL, to deploy the Living Lab Gateway that allows users to consume all IoT devices from a smart home, including those physically wired and using KNX® technology. This work, developed under the framework of the EC funded Plan4Act project, includes relevant features such as security, authentication and authorization provision, dynamic configuration and injection of devices, and devices abstraction and mapping into ontologies. Its deployment is explained in two scenarios to show the achieved technology’s degree of integration, the code simplicity for developers and the system’s scalability: one consisted of external hardware interfacing with the smart home, and the other of the injection of a new sensing device. A test was executed providing metrics that indicate that the Living Lab Gateway is competitive in terms of response performance.

scholarly journals Designing, Building and Controlling of Home Appliances Unit Using PC

2017 ◽  
Vol 5 (4) ◽  
pp. 34
Author(s):  
Saleh Ben Safar
Keyword(s):  
Communication Networks ◽  
Smart Home ◽  
Printed Circuit Board ◽  
Residential Building ◽  
Circuit Board ◽  
Printed Circuit ◽  
Home Appliances ◽  
Automation Systems ◽  
Electrical Devices ◽  
Modern Technologies

<p class="0abstract"><span lang="EN-US">Smart home is a residential building that is usually new or modern equipped with necessary tools and wiring that enable its occupants to control a number of electrical devices and several household appliances through a suitable software. Recently, the development of home automation systems is accelerating rapidly as a result of the rapid intersection of modern technologies. Here we are talking about systems for home communication networks as well as entertainment, security, convenience, etc. These systems are controlled by sending signals through wires distributed throughout the house or Through wireless means to programmable keys or devices so that they understand these commands and deal with them as desired. In this paper, I will discuss how to design the circuit with appropriate components, build it in Printed Circuit Board and connect it to a personal computer by using programmable language in order to control all home appliances by just one click. </span></p>

scholarly journals HEMS-IoT: A Big Data and Machine Learning-Based Smart Home System for Energy Saving

Energies ◽  
2020 ◽  
Vol 13 (5) ◽  
pp. 1097 ◽  
Author(s):  
Isaac Machorro-Cano ◽  
Giner Alor-Hernández ◽  
Mario Andrés Paredes-Valverde ◽  
Lisbeth Rodríguez-Mazahua ◽  
José Luis Sánchez-Cervantes ◽  
...  
Keyword(s):  
Machine Learning ◽  
Energy Efficiency ◽  
Big Data ◽  
Energy Consumption ◽  
Energy Saving ◽  
Smart Home ◽  
User Preferences ◽  
The Internet ◽  
Automation Systems ◽  
Home Energy Management

Energy efficiency has aroused great interest in research worldwide, because energy consumption has increased in recent years, especially in the residential sector. The advances in energy conversion, along with new forms of communication, and information technologies have paved the way for what is now known as smart homes. The Internet of Things (IoT) is the convergence of various heterogeneous technologies from different application domains that are used to interconnect things through the Internet, thus allowing for the detection, monitoring, and remote control of multiple devices. Home automation systems (HAS) combined with IoT, big data technologies, and machine learning are alternatives that promise to contribute to greater energy efficiency. This work presents HEMS-IoT, a big data and machine learning-based smart home energy management system for home comfort, safety, and energy saving. We used the J48 machine learning algorithm and Weka API to learn user behaviors and energy consumption patterns and classify houses with respect to energy consumption. Likewise, we relied on RuleML and Apache Mahout to generate energy-saving recommendations based on user preferences to preserve smart home comfort and safety. To validate our system, we present a case study where we monitor a smart home to ensure comfort and safety and reduce energy consumption.

scholarly journals Finger Vein Biometric based Secure Access Control in Smart Home Automation

2019 ◽  
Vol 8 (6) ◽  
pp. 851-855
Keyword(s):  
Smart Home ◽  
Interconnection Network ◽  
Svm Classifier ◽  
Automation System ◽  
Home Automation ◽  
Finger Vein ◽  
Authentication Mechanism ◽  
Automation Systems ◽  
Home Automation System ◽  
And Control

Smart home automation has become popular with the advent of IoT technology. Smart home automation systems suffer from a number of security issues due to the vulnerabilities that exist in the different devices and the interconnection network. Providing user authentication for smart homes is an important security requirement for preventing intruders from attacking a smart home automation system. Biometric based authentication systems have been used in many applications since they provide high security than the smart cards and password based authentication systems. Finger vein recognition is a biometric authentication technique that applies pattern recognition on the images of human finger vein present beneath the skin's surface. The advantage of using finger vein authentication is that, it is difficult to forge and also provides high accuracy as the external deformities like rashes, cracks and rough epidermis do not have an impact on the matching and recognition process. This paper deals with the implementation of a secure smart home automation system that uses finger vein biometric for the authentication mechanism. The algorithm used for authentication uses K Means Segmentation and canny edge detection for feature extraction. SVM classifier is used for the matching process. The authentication system is then incorporated into the smart home automation system that can be used to monitor and control the devices connected to it. The proposed approach shows better performance than the existing methods used in literature for authentication, monitoring and control of smart home automation systems

scholarly journals Internet of Things for the Development of Smart Cities

2019 ◽  
Vol 8 (4) ◽  
pp. 9543-9547
Keyword(s):  
Internet Of Things ◽  
Public Transportation ◽  
Traffic Congestion ◽  
Smart City ◽  
Smart Home ◽  
Smart Cities ◽  
City Development ◽  
The Public ◽  
Innovative Solution ◽  
Energy Efficient Building

Internet of things plays an important role to make smart in all the areas like smart city, smart home etc [1]. It is used in more efficient water supply, an innovative solution for traffic congestion, to make reliable public transportation, improved the public safety, energy efficient building, Vehicle smart security system etc [4]. While the average cost for basic items is going up, there is a developing concentration to include innovation to bring down those costs for smart city development. In the following chapter will discussed the few innovation for the smart city development.

scholarly journals Silicon Valley Imperialists Create New Model Villages as Smart Cities in Their Own Image

2020 ◽  
Vol 6 (2) ◽  
pp. 24 ◽  
Author(s):  
Philip Cooke
Keyword(s):  
Digital Media ◽  
Smart City ◽  
Smart Home ◽  
City Planning ◽  
Smart Cities ◽  
Sensitive Information ◽  
Privacy And Security ◽  
New Model ◽  
Parent Firm ◽  
Corporate Profits

In her study of ‘Surveillance Capitalism’, Shoshana Zuboff cites Google’s parent firm Alphabet’s legal customer-purchase agreement for the parent firm’s Nest thermostats. These impose ‘oppressive privacy and security consequences’ requiring sensitive information to be shared through ‘Internet-of-Things’ (IoT) networks with other domestic and external devices, unnamed functionaries and various third parties. This is for data harvesting, analytics, processing, manipulation and transformation through digital re-sale to the same and other consumers in the form of unwanted, targeted advertising. The point of this identity ‘rendition’ is to massively augment corporate profits. It is but a short step from trapping the unwitting consumer in a ‘smart home’ to planning a similarly mediated ‘smart city’ aimed at further massively augmenting corporate profits. This is happening, as founders of digital media from Google, Facebook, Microsoft, Amazon and Tesla either commission or become beneficiaries of ‘smart city’ planning. However, there is evidence that such imperiousness is increasingly countered by emerging democratic critique of these new ‘model villages’ or ‘company towns’.

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