scholarly journals A Proposed Internet of Everything Framework for Disease Prediction

2019 ◽  
Vol 15 (04) ◽  
pp. 20 ◽  
Author(s):  
Noura E. Maghawry ◽  
Samy Ghoniemy
Keyword(s):  
Social Networks ◽  
Internet Of Things ◽  
Engineering Industry ◽  
New Paradigm ◽  
Disease Awareness ◽  
Internet Of Everything ◽  
Advisory Systems ◽  
Use Of Internet ◽  
Internet Of Things Technology ◽  
Awareness System

Social networks and Internet of things are two paradigms when integrated a new paradigm Internet of Everything is established that has its impact on revolutionizing various fields such as engineering, industry and healthcare. Social networks became nowadays of the most important web services on which people heavily rely, thus became a major source for information extraction for rational decision making considering individuals as social or socio sensors. Furthermore, people using sensors especially biological sensors enabled the use of internet of things technology in building intelligent healthcare systems. One of the challenges facing the design of such systems is the design of an intelligent recommender system that is able to deal with such big data. For that, this paper proposes a framework to develop an enhanced intelligent expert advisor-based health monitoring and disease awareness system. The proposed framework enables the researchers to design advisory systems that are able to observe physiological signals through the use of different bio sensors and integrate it with historical medical data together with   the massive data collected from social networks to provide accurate alerts and recommendations for many ailments inspected. The proposed Framework is designed to facilitate generic, dynamic and scalable process of integrating different types of social networks and bio sensors.

Internet of Things technologies in feed production and their efficiency

2021 ◽  
pp. 31-38
Author(s):  
E.V. Khudyakova ◽  
◽  
Kh.K. Khudyakova ◽  
M.N. Stepantsevich ◽  
M.I. Gorbachev ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Optimal Timing ◽  
Forage Crops ◽  
High Quality ◽  
Distinctive Features ◽  
Feed Production ◽  
Green Fodder ◽  
Livestock Productivity ◽  
Use Of Internet ◽  
Internet Of Things Technology

Currently, Internet of Things technologies are increasingly used in agriculture. One of the distinctive features of the industry is the territorial dispersion of means of production and objects of labor, so the use of Internet of Things technologies gives the greatest effect here. In the context of the need to strengthen food security for such product groups as milk and dairy products, as well as beef, an important factor in increasing production is a strong feed base. The potential of livestock productivity can be fully realized only through the use of high-quality feed. Since 65-80% of the feed ration of livestock consists of grass feed (hay, haylage, green fodder, silage), this is exactly the segment of feed production where it is necessary to activate the reserves of its development. Obtaining high-quality grass feed depends largely on establishing the timing of mowing grass, when the ratio between the decreasing protein content and the increasing amount of fiber is optimal. Failure to comply with the optimal timing of harvesting grass feed can lead to a decrease in livestock productivity by up to 20%. Taking into account the large areas of forage crops, this task can be solved by using the Internet of Things technology with the use of remote sensing of crops and unmanned aerial vehicles (drones).

scholarly journals Energy Flexometer: Transactive Energy-Based Internet of Things Technology

Energies ◽  
2018 ◽  
Vol 11 (3) ◽  
pp. 568 ◽  
Author(s):  
Muhammad Babar ◽  
Jakub Grela ◽  
Andrzej Ożadowicz ◽  
Phuong Nguyen ◽  
Zbigniew Hanzelka ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Energy Management ◽  
Power Distribution ◽  
Distribution System ◽  
Energy System ◽  
Evaluation Study ◽  
New Paradigm ◽  
Power Distribution System ◽  
Transactive Energy ◽  
Internet Of Things Technology

Effective Energy Management with an active Demand Response (DR) is crucial for future smart energy system. Increasing number of Distributed Energy Resources (DER), local microgrids and prosumers have an essential and real influence on present power distribution system and generate new challenges in power, energy and demand management. A relatively new paradigm in this field is transactive energy (TE), with its value and market-based economic and technical mechanisms to control energy flows. Due to a distributed structure of present and future power system, the Internet of Things (IoT) environment is needed to fully explore flexibility potential from the end-users and prosumers, to offer a bid to involved actors of the smart energy system. In this paper, new approach to connect the market-driven (bottom-up) DR program with current demand-driven (top-down) energy management system (EMS) is presented. Authors consider multi-agent system (MAS) to realize the approach and introduce a concept and standardize the design of new Energy Flexometer. It is proposed as a fundamental agent in the method. Three different functional blocks have been designed and presented as an IoT platform logical interface according to the LonWorks technology. An evaluation study has been performed as well. Results presented in the paper prove the proposed concept and design.

scholarly journals Social Internet of Things: vision, challenges, and trends

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Mozhgan Malekshahi Rad ◽  
Amir Masoud Rahmani ◽  
Amir Sahafi ◽  
Nooruldeen Nasih Qader
Keyword(s):  
Social Networks ◽  
Internet Of Things ◽  
Trust Management ◽  
Process Time ◽  
New Paradigm ◽  
Simulation Tools ◽  
Social Internet Of Things ◽  
Common Goals ◽  
Main Components ◽  
Evaluation Parameters

AbstractIoT describes a new world of billions of objects that intelligently communicate and interact with each other. One of the important areas in this field is a new paradigm-Social Internet of Things (SIoT), a new concept of combining social networks with IoT. SIoT is an imitation of social networks between humans and objects. Objects like humans are considered intelligent and social. They create their social network to achieve their common goals, such as improving functionality, performance, and efficiency and satisfying their required services. Our article’s primary purpose is to present a comprehensive review article from the SIoT system to analyze and evaluate the recent works done in this area. Therefore, our study concentrated on the main components of the SIoT (Architecture, Relation Management, Trust Management, web services, and information), features, parameters, and challenges. To gather enough information for better analysis, we have reviewed the articles published between 2011 and December 2019. The strengths and weaknesses of each article are examined, and effective evaluation parameters, approaches, and the most used simulation tools in this field are discussed. For this purpose, we provide a scientific taxonomy for the final SIoT structure based on the academic contributions we have studied. Ultimately we observed that the evaluation parameters are different in each element of the SIoT ecosystem, for example for Relation Management, scalability 29% and navigability 22% are the most concentrated metrics, in Trust Management, accuracy 25%, and resiliency 25% is more important, in the web service process, time 23% and scalability 16% are the most mentioned and finally in information processing, throughput and time 25% are the most investigated factor. Also, Java-based tools like Eclipse has the most percentage in simulation tools in reviewed literature with 28%, and SWIM has 13% of usage for simulation.

Construction of the Air Offensive Operation Battlefield Support System Based on the Internet of Things Technology

2013 ◽  
Vol 834-836 ◽  
pp. 1873-1876
Author(s):  
Zhao Fu Sun ◽  
Xin Ma ◽  
De Xiang Sun
Keyword(s):  
Internet Of Things ◽  
Support System ◽  
The Internet ◽  
Material Support ◽  
Battlefield Environment ◽  
Internet Of Things Technology ◽  
Awareness System ◽  
The Internet Of Things

The air offensive operation battlefield support is characterized by informationized command, advanced measures and precise material support. Aimed at these characteristics, combined with the features and characteristics of the Internet of Things, the Internet of Things technology is integrated into the battlefield support system, and the battlefield support command system, battlefield awareness system and battlefield material support system based on the Internet of Things technology are established. This paper is significant to the study on the construction of the air offensive operation battlefield support system that adapts to the complex battlefield environment.

TEACHING INNOVATION AND THE USE OF SOCIAL NETWORKS IN ARCHITECTURE: LEARNING BUILDING SERVICES DESIGN FOR SMART AND ENERGY EFFICIENT BUILDINGS

2018 ◽  
Vol 12 (1) ◽  
pp. 367
Author(s):  
Samuel Domínguez-Amarillo ◽  
Jesica Fernandez-Aguera ◽  
Patricia Fernandez-Aguera
Keyword(s):  
Social Networks ◽  
Undergraduate Students ◽  
Participatory Design ◽  
Energy Use ◽  
Smart Cities ◽  
Learning Experience ◽  
Professional Community ◽  
New Paradigm ◽  
Teaching Innovation ◽  
Energy Efficient Buildings

Today’s buildings are evolving from structures comprising unchanging, static elements scantly able to interact with their surroundings, towards complex systemic compounds with an impact on the environs that entails more than mere anthropic alteration. In pursuit of energy efficiency and true sustainability, buildings must acquire the ability to interact as well as to generate synergies. The most prominent features of this approach are energy management and information flows which, intelligently designed, not only enhance buildings’ capabilities, but also introduce a significant change in their relationship with the surrounds (‘smart cities’) and its inhabitants. This new paradigm calls for revisiting undergraduate architectural instruction, adopting a more complex overview of energy use and management in the design process, regarding buildings as dynamic rather than static entities. The methodology focuses on creating learning environments that favour students’ participation in problem solving and assessment, encouraging teamwork based on case studies and stressing the connection between this new architecture, ICTs included, and social networks as participatory design tools. These ideas were implemented in a pilot learning experience conducted at the University of Seville for undergraduate students. The use of ICTs and the collaboration of non-academic experts were observed to further student promotion and projection beyond the academic environment and introduce them to the professional community.

An Integrated Legacy of Modbus Devices to Industrial Internet of Things: Approach for Smart Industries

2020 ◽  
Author(s):  
Karthik Muthineni
Keyword(s):  
Internet Of Things ◽  
Industrial Revolution ◽  
Digital Technologies ◽  
Industrial Internet Of Things ◽  
Intelligent Decision Making ◽  
Internet Of Everything ◽  
Industrial Internet ◽  
Intelligent Decision ◽  
Network Platform ◽  
Smart Factories

The new industrial revolution Industry 4.0, connecting manufacturing process with digital technologies that can communicate, analyze, and use information for intelligent decision making includes Industrial Internet of Things (IIoT) to help manufactures and consumers for efficient controlling and monitoring. This work presents the design and implementation of an IIoT ecosystem for smart factories. The design is based on Siemens Simatic IoT2040, an intelligent industrial gateway that is connected to modbus sensors publishing data onto Network Platform for Internet of Everything (NETPIE). The design demonstrates the capabilities of Simatic IoT2040 by taking Python, Node-Red, and Mosca into account that works simultaneously on the device.

Weight-Loss Program Assistance System for Obesity Patients Based on Internet of Things (IoT) Technology

2017 ◽  
Vol 8 (1) ◽  
Author(s):  
I Gusti Bagus Astawa ◽  
I Ketut Agung Enriko
Keyword(s):  
Weight Loss ◽  
Internet Of Things ◽  
Mobile Application ◽  
Human Life ◽  
Weight Loss Program ◽  
Internet Technology ◽  
Healthcare Sector ◽  
Home Automation ◽  
Index Terms ◽  
Use Of Internet

These days, the use of Internet technology can be found in almost every sector of human life. One of the advanced Internet technologies is Internet of Things (IoT), that is a technology where devices can communicate via Internet connectivity. It is used in many vital industries like automotive, electricity, home automation, and healthcare. This study aims to implement IoT technology for healthcare sector, i.e. in helping obesity people to pursue their weight-loss program (WLP). The result is a system which consists of a smart weight scale, a mobile application, and food menu recommendation database in order to help obesity people in their WLP program. A trial to some obesity patients is performed to collect data. Index Terms—Internet of things; overweight; weight loss program; food recommendation

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