scholarly journals Control of Smart Home Operations Using Natural Language Processing, Voice Recognition and IoT Technologies in a Multi-Tier Architecture

Designs ◽  
2019 ◽  
Vol 3 (3) ◽  
pp. 32 ◽  
Author(s):  
George Alexakis ◽  
Spyros Panagiotakis ◽  
Alexander Fragkakis ◽  
Evangelos Markakis ◽  
Kostas Vassilakis
Keyword(s):  
Natural Language Processing ◽  
Internet Of Things ◽  
Natural Language ◽  
Language Processing ◽  
Smart Home ◽  
Rapid Development ◽  
Voice Recognition ◽  
Global Network ◽  
The Internet ◽  
The Internet Of Things

The Internet of Things (IoT) is an emerging Internet-based architecture, enabling the exchange of data and services in a global network. With the advent of the Internet of Things, more and more devices are connecting to the Internet in order to help people get and share data or program actions. In this paper, we introduce an IoT Agent, a Web application for monitoring and controlling a smart home remotely. The IoT Agent integrates a chat bot that can understand text or voice commands using natural language processing (NLP). With the use of NLP, home devices are more user-friendly and controlling them is easier, since even when a command or question/command is different from the presets, the system understands the user’s wishes and responds accordingly. Our solution exploits several available Application Programming Interfaces (APIs), namely: the Dialogflow API for the efficient integration of NLP to our IoT system, the Web Speech API for enriching user experience with voice recognition and synthesis features, MQTT (Message Queuing Telemetry Transport) for the lightweight control of actuators and Firebase for dynamic data storage. This is the most significant innovation it brings: the integration of several third-party APIs and open source technologies into one mash-up, highlighting how a new IoT application can be built today using a multi-tier architecture. We believe that such a tiered architecture can be very useful for the rapid development of smart home applications.

Application of feature extraction method based on support vector machine in Internet of things

2020 ◽  
Vol 39 (6) ◽  
pp. 8623-8632
Author(s):  
Tang Lin
Keyword(s):  
Support Vector Machine ◽  
Internet Of Things ◽  
Intrusion Detection ◽  
Smart Home ◽  
Rapid Development ◽  
Support Vector ◽  
The Internet ◽  
Machine Model ◽  
Network Intrusion ◽  
The Internet Of Things

Although much less fatal than the Ebola and previous SARS virus epidemics, the current coronavirus outbreak (COVID-19) has spread to more people in more countries in a much shorter time frame. With the rapid development of the Internet of things, it has played an important role to track/monitor transmission movements throughout the population. The technology infrastructure between mobile devices, wearable devices and sensors, smart home device makes it possible to readily deploy solutions to monitor and collect data and perform analysis to ensure policy make intelligent, rapid decisions. This research combines AOL and Support Vector Machine to form the Internet of things cycle through smart home. The parameters of Support Vector Machine model are optimized by ALO algorithm, which shortens the learning time and improves the performance of classifier. Then, the algorithm of ALO is used to optimize the Support Vector Machine intrusion detection method and agent technology, and the intrusion detection model is established. Experimental results show that the combination of these two can effectively reduce the false alarm rate of network intrusion.

A Food Management System Based on IOT for Smart Refrigerator

2013 ◽  
Vol 427-429 ◽  
pp. 2936-2939
Author(s):  
Rui Chun Hou ◽  
Xi Wang ◽  
Xiao Ying Wang
Keyword(s):  
Information Technology ◽  
Internet Of Things ◽  
Management System ◽  
Smart Home ◽  
Rapid Development ◽  
The Internet ◽  
Shopping List ◽  
Food Management ◽  
Home Appliance ◽  
The Internet Of Things

With the rapid development of information technology, all kinds of smart home appliance has appeared. Smart refrigerator is one of them. In this paper, a food management system for smart refrigerator is proposed, which is based on the Internet of Things. This management system could collect the food information in the fridge and analyze the user's preferences. Shopping list and recommended recipes could be generated and sent to user. It provides users with a more personalized service, improve the user experience.

scholarly journals Design of remote smart home control system based on the Internet of Things

2018 ◽  
Vol 175 ◽  
pp. 03020
Author(s):  
Yajin Che
Keyword(s):  
Control System ◽  
Remote Control ◽  
Internet Of Things ◽  
Smart Home ◽  
Rapid Development ◽  
The Internet ◽  
Residential Home ◽  
Information Industry ◽  
Continuous Innovation ◽  
The Internet Of Things

With the continuous innovation of related technology and the rapid development of information industry, the Internet of things, as a new product of information technology, has been applied in many fields, especially in the field of residential home. It is of great significance to promote the quality of people's daily life. In view of this, this paper briefly analyzes the collection and transmission of indoor remote control signal. On the basis of this, the design of remote control software is analyzed and discussed. Finally, the practical application test shows that the remote smart home control system designed by this research can realize the effective transmission of the indoor electrical control of information. It can meet the needs of practical use both in controlling accuracy and the delay.

CLOUD BASED INTERNET OF THINGS FOR SMART CONNECTED OBJECTS

2019 ◽  
Vol 01 (02) ◽  
pp. 31-39 ◽  
Author(s):  
Duraipandian M. ◽  
Vinothkanna R.
Keyword(s):  
Energy Consumption ◽  
Internet Of Things ◽  
Smart Home ◽  
Electricity Consumption ◽  
Considerable Improvement ◽  
The Internet ◽  
The Internet Of Things ◽  
At Home

The paper proposing the cloud based internet of things for the smart connected objects, concentrates on developing a smart home utilizing the internet of things, by providing the embedded labeling for all the tangible things at home and enabling them to be connected through the internet. The smart home proposed in the paper concentrates on the steps in reducing the electricity consumption of the appliances at the home by converting them into the smart connected objects using the cloud based internet of things and also concentrates on protecting the house from the theft and the robbery. The proposed smart home by turning the ordinary tangible objects into the smart connected objects shows considerable improvement in the energy consumption and the security provision.

Using NLP for Fact Checking: A Survey

Designs ◽  
2021 ◽  
Vol 5 (3) ◽  
pp. 42
Author(s):  
Eric Lazarski ◽  
Mahmood Al-Khassaweneh ◽  
Cynthia Howard
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Computer Science ◽  
Language Processing ◽  
The Internet ◽  
Fake News ◽  
Fact Checking ◽  
The Many ◽  
Human Powered ◽  
The Web

In recent years, disinformation and “fake news” have been spreading throughout the internet at rates never seen before. This has created the need for fact-checking organizations, groups that seek out claims and comment on their veracity, to spawn worldwide to stem the tide of misinformation. However, even with the many human-powered fact-checking organizations that are currently in operation, disinformation continues to run rampant throughout the Web, and the existing organizations are unable to keep up. This paper discusses in detail recent advances in computer science to use natural language processing to automate fact checking. It follows the entire process of automated fact checking using natural language processing, from detecting claims to fact checking to outputting results. In summary, automated fact checking works well in some cases, though generalized fact checking still needs improvement prior to widespread use.

scholarly journals Constructing Patent Maps Using Text Mining to Sustainably Detect Potential Technological Opportunities

2018 ◽  
Vol 10 (10) ◽  
pp. 3729 ◽  
Author(s):  
Hei Wang ◽  
Yung Chi ◽  
Ping Hsin
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Rapid Development ◽  
Word Sense Disambiguation ◽  
Current Method ◽  
Word Sense ◽  
Competitive Advantages ◽  
Patent Documents ◽  
Technological Opportunities

With the advent of the knowledge economy, firms often compete for intellectual property rights. Being the first to acquire high-potential patents can assist firms in achieving future competitive advantages. To identify patents capable of being developed, firms often search for a focus by using existing patent documents. Because of the rapid development of technology, the number of patent documents is immense. A prominent topic among current firms is how to use this large number of patent documents to discover new business opportunities while avoiding conflicts with existing patents. In the search for technological opportunities, a crucial task is to present results in the form of an easily understood visualization. Currently, natural language processing can help in achieving this goal. In natural language processing, word sense disambiguation (WSD) is the problem of determining which “sense” (meaning) of a word is activated in a given context. Given a word and its possible senses, as defined by a dictionary, we classify the occurrence of a word in context into one or more of its sense classes. The features of the context (such as neighboring words) provide evidence for these classifications. The current method for patent document analysis warrants improvement in areas, such as the analysis of many dimensions and the development of recommendation methods. This study proposes a visualization method that supports semantics, reduces the number of dimensions formed by terms, and can easily be understood by users. Since polysemous words occur frequently in patent documents, we also propose a WSD method to decrease the calculated degrees of distortion between terms. An analysis of outlier distributions is used to construct a patent map capable of distinguishing similar patents. During the development of new strategies, the constructed patent map can assist firms in understanding patent distributions in commercial areas, thereby preventing patent infringement caused by the development of similar technologies. Subsequently, technological opportunities can be recommended according to the patent map, aiding firms in assessing relevant patents in commercial areas early and sustainably achieving future competitive advantages.

Detecting Linguistic Markers of Violent Extremism in Online Environments

2016 ◽  
pp. 374-390 ◽  
Author(s):  
Fredrik Johansson ◽  
Lisa Kaati ◽  
Magnus Sahlgren
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Terrorist Attacks ◽  
The Internet ◽  
Written Text ◽  
Linguistic Markers ◽  
Geographical Regions ◽  
Violent Extremism ◽  
Online Environments

The ability to disseminate information instantaneously over vast geographical regions makes the Internet a key facilitator in the radicalisation process and preparations for terrorist attacks. This can be both an asset and a challenge for security agencies. One of the main challenges for security agencies is the sheer amount of information available on the Internet. It is impossible for human analysts to read through everything that is written online. In this chapter we will discuss the possibility of detecting violent extremism by identifying signs of warning behaviours in written text – what we call linguistic markers – using computers, or more specifically, natural language processing.

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