The Application of the Internet of Things in Intelligent Digital Campus

2014 ◽  
Vol 543-547 ◽  
pp. 3503-3506 ◽  
Author(s):  
Xiao Feng Wang
Keyword(s):  
Internet Of Things ◽  
Daily Life ◽  
Automatic Recognition ◽  
The Internet ◽  
Laboratory Management ◽  
Digital Campus ◽  
Research Status ◽  
Teachers And Students ◽  
The Internet Of Things

From the starting of understanding the concept and characteristics of the Internet of Things, I propose the concept of the intelligent digital campus according to the research status grasping of the Internet of Things. The intelligent digital campus based on the Internet of Things can achieve automatic recognition, library borrowing management, multimedia classroom and laboratory management and campus consumption management. It provides more efficient services for teachers and students work, studying and daily life.

Internet of Things

2018 ◽  
pp. 73-95
Author(s):  
Varsha Sharma ◽  
Vivek Sharma ◽  
Nishchol Mishra
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Remote Monitoring ◽  
Daily Life ◽  
Scientific Research ◽  
The Internet ◽  
Use Of Resources ◽  
Bright Future ◽  
Physical Objects ◽  
The Internet Of Things

Recently, Internet of Things (IoT) has aroused great interest among the educational, scientific research, and industrial communities. Researchers affirm that IoT environments will make people's daily life easier and will lead to superior services, great savings as well as a nifty use of resources. Consequently, IoT merchandise and services will grow exponentially in the upcoming years. The basic idea of IoT is to connect physical objects to the Internet and use that connection to provide some kind of useful remote monitoring or control of those objects. The chapter presents the overall IoT vision, the technologies for achieving it, IoT challenges and its applications. This chapter also attempts to describe and analyze threat types for privacy, security and trust in IoT as well as shows how big data is an important factor in IoT. This chapter will expose the readers and researchers who are interested in exploring and implementing the IoT and related technologies to the progress towards the bright future of the Internet of Things

scholarly journals Detection and Prevention of Black Hole Attack in RPL Protocol Based on the Threshold Value of Nodes in the Internet of Things Networks

2019 ◽  
Vol 8 (9S3) ◽  
pp. 325-329
Keyword(s):  
Black Hole ◽  
Internet Of Things ◽  
Detection Rate ◽  
Daily Life ◽  
Threshold Value ◽  
The Internet ◽  
Black Hole Attack ◽  
Packet Delivery ◽  
Detection Approach ◽  
The Internet Of Things

Due to the technology of IOT the human daily life services were became easier. With this technology the scalability will become very more to handle this kind of networks 6LOWPAN protocol was used, In this 6LOWPAn networks the RPL protocol was used to route the packets. The RPL protocol is constrain protocol particularly suits for the constrain node. Due to this constrain behavior this protocol may leads to many attacks. The attacks may be a black hole, wormhole, sinkhole etc. This paper was focused on Black hole attack. The black hole attack was simulated in the Contiki cooja simulator and proposed an detection approach based on the threshold value of each node in the network, to this black hole attack and the results was generated by using the contiki cooja simulator the results shows the effectiveness of the proposed technique in terms of the packet delivery rate, detection rate of attack.

Research on the Construction of Smart Campus Based on the Internet of Things and Cloud Computing

2014 ◽  
Vol 543-547 ◽  
pp. 3213-3217 ◽  
Author(s):  
Yong Liang Liu ◽  
Wei Hong Zhang ◽  
Peng Dong
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
The Internet ◽  
Digital Campus ◽  
Service Platform ◽  
Smart Campus ◽  
Key Technologies ◽  
The Internet Of Things

Smart campus is an inevitable trend in the development of digital campus construction. The internet of things and cloud computing are the key technologies in the construction of smart campus. The authors expound the concepts of smart campus and put forward overall architecture of smart campus based on the internet of things and cloud computing. They elaborate on the network foundation platform, service platform and the construction of intelligent application platform in detail. Finally, discuss the problems should be noticed in the smart campus construction.

scholarly journals New Approach Securing the Internet of Things

2020 ◽  
Vol 2 (1) ◽  
pp. 7-13
Author(s):  
Sridarala Ramu ◽  
Daniel Osaku
Keyword(s):  
Internet Of Things ◽  
Smart City ◽  
Smart Home ◽  
New Technologies ◽  
Daily Life ◽  
Intelligent Vehicles ◽  
The Internet ◽  
New Approach ◽  
Iot Applications ◽  
The Internet Of Things

IOT connected objects are new technologies used to connect objects to the internet and to users. The IOT influences our daily life in several fields such as logistics, health, energy, intelligent vehicles, the smart home or the smart city ... Subsequently, following the specific characteristics of the different areas of use, a multitude IOT applications have been developed and deployed using different IOT frameworks. An IOT framework is a set of rules, protocols and standards that simplify the implementation of IOT applications. The proper functioning and success of these applications depends on the characteristics of the framework, and also on the security mechanisms used. In this article, we will discuss the frameworks used by presenting the proposed architecture of each framework, the compatible hardwares and softwares and the security mechanisms used, then a comparative study of these frameworks will be presented. Finally, we will propose an architecture of a secure IOT framework.

scholarly journals Cross-Modal Travel Route Recommendation Algorithm Based on Internet of Things Awareness

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Yuran Zhang ◽  
Ziyan Tang
Keyword(s):  
Genetic Algorithm ◽  
Internet Of Things ◽  
Ant Colony Algorithm ◽  
Daily Life ◽  
Ant Colony ◽  
The Internet ◽  
Evaluation Score ◽  
Route Recommendation ◽  
The Internet Of Things ◽  
Greedy Solution

In recent years, the Internet of Things has developed rapidly in people’s lives. This brand-new technology is flooding people’s lives and widely used in many fields, such as medical field, science and technology field, and industry and agriculture field. As a modern technology, the Internet of Things has many characteristics of low power consumption and multifunction, and it also has the characteristics of data-aware computing. This is the characteristic of this new product. In people’s daily life, the Internet of Things is also closely related to people’s daily life. In the tourism industry, the Internet of Things can make the best use of everything and give full play to its various advantages as much as possible. The Internet of Things can perceive cross-modal tourism routes. So here, this paper summarizes various algorithms recommended by the Internet of Things for this tourist route and works out the experimental data methods of these algorithms for cross-modal tourism route recommendation. The proposed algorithm is verified by data simulation, compared with related algorithms. We analyze and summarize the simulation results. At present, there is no comparative analysis of the performance of ant colony algorithm, genetic algorithm, and its optimization algorithm in tourism route recommendation. On the basis of crawling the tourism data in the Internet, this paper applies ant colony algorithm, genetic algorithm, max–min optimization ant colony algorithm, and hybrid ant colony algorithm based on greedy solution to tourism route recommendation and evaluates and compares the algorithms from three aspects: average evaluation score, optimal evaluation score, and algorithm time. Experimental results show that the max–min optimization ant colony algorithm and the hybrid ant colony algorithm based on greedy solution can be effectively applied to automated tourist route recommendation.

scholarly journals Smart cities in collaboration with the internet of things

2020 ◽  
Vol 14 (2) ◽  
pp. 185-195
Author(s):  
Ricardo Alirio González Bustamante ◽  
Roberto Ferro Escobar ◽  
Harold Vacca González
Keyword(s):  
Internet Of Things ◽  
Daily Life ◽  
Smart Cities ◽  
Personal Life ◽  
The Internet ◽  
Advantages And Disadvantages ◽  
The World ◽  
Use Of The Internet ◽  
The Internet Of Things

The use of the Internet has Reached a point in the world in Which it has Become essential in everyday life, the need to Have information at hand in the shortest possible time has generated a technological revolution That incurs the constant connection to this tool, from our Personal life to the same objects That we use in daily life, creating a need to check what surrounds us to Improve our quality of life, reason for the birth of the Internet of Things (IoT, for acronym in English), as well as the convergence of our environment through the creation with Technology of smart cities (Smart City in English). In view of the above, this article addresses concepts about the future of smart cities in collaboration with the Internet of things, the advantages and Disadvantages of these, their comparison, reception, adaptability.

scholarly journals DESIGN AND IMPLEMENT AN INTEROPERABLE INTERNET OF THINGS APPLICATION BASED ON AN EXTENDED OGC SENSORTHINGS API STANDARD

2016 ◽  
Vol XLI-B4 ◽  
pp. 263-266 ◽  
Author(s):  
C. Y. Huang ◽  
C. H. Wu
Keyword(s):  
Internet Of Things ◽  
Web Service ◽  
Conceptual Model ◽  
Daily Life ◽  
The Internet ◽  
Service Description ◽  
Industrial Solution ◽  
Open Geospatial Consortium ◽  
Iot Devices ◽  
The Internet Of Things

The Internet of Things (IoT) is an infrastructure that interconnects uniquely-identifiable devices using the Internet. By interconnecting everyday appliances, various monitoring and physical mashup applications can be constructed to improve people’s daily life. However, IoT devices created by different manufacturers follow different proprietary protocols and cannot communicate with each other. This heterogeneity issue causes different products to be locked in multiple closed ecosystems that we call IoT silos. In order to address this issue, a common industrial solution is the hub approach, which implements connectors to communicate with IoT devices following different protocols. However, with the growing number of proprietary protocols proposed by device manufacturers, IoT hubs need to support and maintain a lot of customized connectors. Hence, we believe the ultimate solution to address the heterogeneity issue is to follow open and interoperable standard. Among the existing IoT standards, the Open Geospatial Consortium (OGC) SensorThings API standard supports comprehensive conceptual model and query functionalities. The first version of SensorThings API mainly focuses on connecting to IoT devices and sharing sensor observations online, which is the sensing capability. Besides the sensing capability, IoT devices could also be controlled via the Internet, which is the tasking capability. While the tasking capability was not included in the first version of the SensorThings API standard, this research aims on defining the tasking capability profile and integrates with the SensorThings API standard, which we call the extended-SensorThings API in this paper. In general, this research proposes a lightweight JSON-based web service description, the “Tasking Capability Description”, allowing device owners and manufacturers to describe different IoT device protocols. Through the extended- SensorThings API, users and applications can follow a coherent protocol to control IoT devices that use different communication protocols, which could consequently achieve the interoperable Internet of Things infrastructure.

Structure and Analysis of Digital Campus Based on the Internet of Things

2013 ◽  
Vol 12 (24) ◽  
pp. 8622-8628
Author(s):  
Liu Bin ◽  
Han Jianghong ◽  
Hu Songhua ◽  
Zhang Li
Keyword(s):  
Internet Of Things ◽  
The Internet ◽  
Digital Campus ◽  
The Internet Of Things

scholarly journals ForeSight - AI-based Smart Living Platform Approach

2020 ◽  
Vol 6 (3) ◽  
pp. 384-387
Author(s):  
Jochen Bauer ◽  
Michael Hechtel ◽  
Christoph Konrad ◽  
Martin Holzwarth ◽  
Andreas Mayr ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Internet Of Things ◽  
Smart Home ◽  
Service Providers ◽  
Daily Life ◽  
The Internet ◽  
Context Sensitive ◽  
Smart Living ◽  
Housing Industry ◽  
The Internet Of Things

AbstractIn the upcoming years, the internet of things (IoT) will enrich daily life. The combination of artificial intelligence (AI) and highly interoperable systems will bring contextsensitive multi-domain services to reality. This paper describes a concept for an AI-based smart living platform with open- HAB, a smart home middleware, andWeb of Things (WoT) as key components of our approach. The platform concept considers different stakeholders, i.e. the housing industry, service providers, and tenants. These activities are part of the Fore- Sight project, an AI-driven, context-sensitive smart living platform.

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