scholarly journals Analysis of an Intelligent Graphical Tutoring System using the Internet of Things (IoT) to Develop the Competency of Embedded Systems

2019 ◽  
Vol 15 (04) ◽  
pp. 98
Author(s):  
Jiragorn Chalermdit ◽  
Prachyanun Nilsook ◽  
Panita Wannapiroon
Keyword(s):  
Internet Of Things ◽  
Embedded Systems ◽  
Intelligent System ◽  
Real Life ◽  
The Internet ◽  
Tutoring System ◽  
System Suitability ◽  
Research Findings ◽  
High Level ◽  
The Internet Of Things

<p class="0abstract">The objectives of this research are to analyse and assess an intelligent graphical tutoring system using the internet of things (IoT) to develop the efficiency of embedded systems. The research findings suggest that an intelligent system is composed of six modules: 1) student, 2) graphical tutoring, 3) expert, 4) knowledge, 5) evaluation and 6) user interface. The result of a composition assessment performed by experts indicates that the overall results are at a high level. The system suitability scored the highest level which can be applied to real life situations.</p>

From Users’ Intentions to IF-THEN Rules in the Internet of Things

2021 ◽  
Vol 39 (4) ◽  
pp. 1-33
Author(s):  
Fulvio Corno ◽  
Luigi De Russis ◽  
Alberto Monge Roffarello
Keyword(s):  
Internet Of Things ◽  
Smart Devices ◽  
The Internet ◽  
Short Term ◽  
Real World Data ◽  
Original Intention ◽  
Recommendation Accuracy ◽  
High Level ◽  
The Internet Of Things

In the Internet of Things era, users are willing to personalize the joint behavior of their connected entities, i.e., smart devices and online service, by means of trigger-action rules such as “IF the entrance Nest security camera detects a movement, THEN blink the Philips Hue lamp in the kitchen.” Unfortunately, the spread of new supported technologies makes the number of possible combinations between triggers and actions continuously growing, thus motivating the need of assisting users in discovering new rules and functionality, e.g., through recommendation techniques. To this end, we present , a semantic Conversational Search and Recommendation (CSR) system able to suggest pertinent IF-THEN rules that can be easily deployed in different contexts starting from an abstract user’s need. By exploiting a conversational agent, the user can communicate her current personalization intention by specifying a set of functionality at a high level, e.g., to decrease the temperature of a room when she left it. Stemming from this input, implements a semantic recommendation process that takes into account ( a ) the current user’s intention , ( b ) the connected entities owned by the user, and ( c ) the user’s long-term preferences revealed by her profile. If not satisfied with the suggestions, then the user can converse with the system to provide further feedback, i.e., a short-term preference , thus allowing to provide refined recommendations that better align with the original intention. We evaluate by running different offline experiments with simulated users and real-world data. First, we test the recommendation process in different configurations, and we show that recommendation accuracy and similarity with target items increase as the interaction between the algorithm and the user proceeds. Then, we compare with other similar baseline recommender systems. Results are promising and demonstrate the effectiveness of in recommending IF-THEN rules that satisfy the current personalization intention of the user.

scholarly journals Concept, Possibilities and Pilot-Testing of a New Smartphone Application for the Social and Life Sciences to Study Human Behavior Including Validation Data from Personality Psychology

J ◽  
2019 ◽  
Vol 2 (2) ◽  
pp. 102-115 ◽  
Author(s):  
Christian Montag ◽  
Harald Baumeister ◽  
Christopher Kannen ◽  
Rayna Sariyska ◽  
Eva-Maria Meßner ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Human Behavior ◽  
Real Life ◽  
Smartphone Application ◽  
Self Report ◽  
The Internet ◽  
Validation Data ◽  
Personality Psychology ◽  
The Social ◽  
The Internet Of Things

With the advent of the World Wide Web, the smartphone and the Internet of Things, not only society but also the sciences are rapidly changing. In particular, the social sciences can profit from these digital developments, because now scientists have the power to study real-life human behavior via smartphones and other devices connected to the Internet of Things on a large-scale level. Although this sounds easy, scientists often face the problem that no practicable solution exists to participate in such a new scientific movement, due to a lack of an interdisciplinary network. If so, the development time of a new product, such as a smartphone application to get insights into human behavior takes an enormous amount of time and resources. Given this problem, the present work presents an easy way to use a smartphone application, which can be applied by social scientists to study a large range of scientific questions. The application provides measurements of variables via tracking smartphone–use patterns, such as call behavior, application use (e.g., social media), GPS and many others. In addition, the presented Android-based smartphone application, called Insights, can also be used to administer self-report questionnaires for conducting experience sampling and to search for co-variations between smartphone usage/smartphone data and self-report data. Of importance, the present work gives a detailed overview on how to conduct a study using an application such as Insights, starting from designing the study, installing the application to analyzing the data. In the present work, server requirements and privacy issues are also discussed. Furthermore, first validation data from personality psychology are presented. Such validation data are important in establishing trust in the applied technology to track behavior. In sum, the aim of the present work is (i) to provide interested scientists a short overview on how to conduct a study with smartphone app tracking technology, (ii) to present the features of the designed smartphone application and (iii) to demonstrate its validity with a proof of concept study, hence correlating smartphone usage with personality measures.

The Key Technology and Application of the Internet of Things

2014 ◽  
Vol 644-650 ◽  
pp. 2812-2815 ◽  
Author(s):  
Cui Mei Li ◽  
Rou Wang ◽  
Le Huang
Keyword(s):  
Internet Of Things ◽  
Real Life ◽  
The Internet ◽  
Third Wave ◽  
Information Industry ◽  
Key Technology ◽  
The Third ◽  
World Information ◽  
Strategic Advice ◽  
The Internet Of Things

The Internet of Things, which is another revolution in the information industry following the computer and the Internet, is referred to as the third wave of the world information industry. In this paper, the concepts, the architecture system and the principle, and the key technology in the Internet of Things and its application in real life are presented. Finally, a strategic advice on the development of the Internet of Things in China is put forward.

scholarly journals Intelligent Systems for the Internet of Things: Essence, Perspectives and Problems

2021 ◽  
Vol 9 (1) ◽  
pp. 17-25
Author(s):  
Shafagat Mahmudova
Keyword(s):  
Internet Of Things ◽  
Data Sharing ◽  
Intelligent Systems ◽  
New Technology ◽  
Smart Devices ◽  
The Internet ◽  
Transfer Data ◽  
Iot Platform ◽  
High Level ◽  
The Internet Of Things

This article outlines the Internet of Things (IoT). The Internet of Things describes a network of physical objects, i.e., the “thing” including sensors, software, and other technologies for connection and data sharing with other devices and systems over the Internet. In other words, IoT is a relatively new technology enabling many “smart” devices to get connected, to analyze, process, and transfer data to each other and connect to a network. The article clarifies the essence of intelligent systems for the Internet of Things, and analyzes the most popular software for the IoT platform. It studies high-level systems for IoT and analyzes available literature in this field. It highlights most advanced IoT software of 2021. The article also identifies the prospects and challenges of intelligent systems for the Internet of Things. The creation of new intelligent systems for IoT and the development of technology will greatly contribute to the development of economy.

scholarly journals Design of an Intelligent Garbage Container that Allows to Monitor the Waste for its Proper Collection

2022 ◽  
Vol 12 (1) ◽  
pp. 31-39
Author(s):  
Robert Cerna Duran ◽  
◽  
Brian Meneses Claudio ◽  
Alexi Delgado
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Environmental Problem ◽  
Intelligent System ◽  
Research Work ◽  
The State ◽  
The Internet ◽  
Keywords Internet ◽  
The World ◽  
The Internet Of Things

The increase in garbage production today is due to the exponential growth of the population worldwide, due to the fact that thousands of tons of garbage are generated daily around the world, but the mismanagement that gives them has become an environmental problem since 33% of all the garbage generated is not recycled, for that reason it is estimated that within the next three decades the amount of waste worldwide will increase to 70%. That is why in the present research work it is proposed to make an intelligent system based on the Internet of Things (IoT) that allows monitoring the garbage containers in real time representing with percentages the state of these containers and these can be collected in time by garbage trucks, and thus avoid the increase of garbage in the streets and the various types of problems that these would cause. As a result, it was obtained that the System does comply with the established conditions because it allows to monitor in real time representing by percentages the state of the garbage container, which indicates 40% as almost full and 80% indicates that it is already available for collection. Finally, it is concluded that using the Garbage Container Monitoring System will allow to better optimize the collection process and, in addition, the problems that are usually perceived today due to the amount of garbage that are registered in the streets will decrease. Keywords-- Internet of Things; Intelligent system; Real time; Environmental Problem; Monitoror; Percentage.

scholarly journals Cyberphysical Approach to the Creation, Operation and Improvement of Transport and Production Systems

2020 ◽  
pp. 331-343
Author(s):  
Viktor Aulin ◽  
◽  
Andrey Grinkiv ◽  
Artem Holovatyi ◽  
◽  
...  
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Embedded Systems ◽  
Occupational Safety ◽  
Production Systems ◽  
The Internet ◽  
Technical Service ◽  
The Creation ◽  
Specific Implementation ◽  
The Internet Of Things

The content of the cyberphysical approach to the creation, functioning and improvement of transport and production systems is analyzed. It was found out how, on the basis of the approach, cyberphysical transport and production systems are created as the integration of special technologies of the Internet of Things; embedded systems; ubiquitous and cloud computing. It was revealed that cyberphysical transport and production systems have a trinitarian concept and are defined by three entities: communication, computation and control, which unites information. It is determined that the main functions of cyberphysical transport and production systems are: information processing, intelligent communications, performance and process control. A component model of such a system has been built, which includes two groups of components - evolutionary and technological. The evolutionary group of components includes subsystems: digital; integrated; robotic, intelligent distributed. These components are a kind of basis for the presence of prerequisites for the creation of transport and production systems. It is noted that the technology group of components is the basis for concrete implementations of the Internet of Things, embedded systems and ubiquitous and cloud computing. A cyberphysical system of technical service is proposed as a specific implementation of cyberphysical transport and production systems. It was determined that the modes of the proposed functional cyber system are: high adaptability; an appropriate level of efficiency; intelligence of management; high level of reliability; the use of a new on-net online simulation type; using a new type of self-verifying models; internal online optimization, etc. It is shown that the presence of intelligent models in the cyberphysical model of technical service makes the system resistant to cyberattacks and increases the degree of safety when ensuring traffic in transport and the development of an occupational safety system during maintenance and repair operations.

scholarly journals Application of IoT in the COVID-19 Pandemic

2021 ◽  
Vol 5 (5) ◽  
pp. 1-3
Author(s):  
B. Shoban Babu ◽  
Prince Patel
Keyword(s):  
Internet Of Things ◽  
The Internet ◽  
Time Data ◽  
Smart Systems ◽  
Risk Patients ◽  
Review Study ◽  
Smart Hospitals ◽  
High Level ◽  
The Internet Of Things ◽  
Level Of Agreement

As we all know, the Internet has altered everything, and the Internet of Things has given us hope for a bright future of the Internet with Machine-to-Machine (M2M) connectivity. This review study demonstrated that smart systems based on the Internet of Things are feasible and economical to build (IoT). In the field of healthcare, the Internet of Things has made significant progress. This article examines how the Internet of Things (IoT) is revolutionising the healthcare industry by giving huge healthcare advantages to humanity through accessible and practical healthcare solutions specially during the hard coronavirus situation around the world. The purpose of this study is to address the function of IoT in smart hospitals, as well as its importance in dealing with pandemics. Various smart gadgets that can provide a variety of features, such as adequate monitoring of high-risk patients, tracking their bio-metric measurements, and gathering real-time data, can be used to serve community-specific demands during pandemic spread. We've also looked into other plans that can detect unforeseen events utilising a variety of sensors and display the information gathered on an LED display. The results of observational studies have indicated a high level of agreement with the hypothetical claims.

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