scholarly journals Smart Relocation System

2021 ◽  
Vol 2066 (1) ◽  
pp. 012061
Author(s):  
Junyou Ye ◽  
Xiangxiang Dong ◽  
Ju Yang ◽  
Xiaomeng Xu ◽  
Yuntian Zhao
Keyword(s):  
Social Mobility ◽  
Intelligent System ◽  
Current Level ◽  
Item Information ◽  
The Internet ◽  
User Privacy ◽  
Handling System ◽  
Multi Level ◽  
Packing Efficiency ◽  
The Internet Of Things

Abstract With the increase of social mobility, the relocation of work and living places has become the norm in people’s daily life. However, the current level of informatization in the handling industry is generally low. If users want to know the progress of the porter age, they can only go to the site in person; after the porter age is completed, if they want to find the items, they need to search through the piles of boxes. It is even impossible to know the detailed location of the items. So there is an urgent need for an intelligent system that can comprehensively control the entire handling process from inventory, porter age to item positioning. The intelligent handling system designed in this paper uses the Internet of Things, network communication, artificial intelligence, cloud computing and other technologies, which can sensitively capture the packed items to improve the packing efficiency, quickly and accurately identify the name of the item to facilitate searching, and establish multi-level tags to store item information and achieve fuzzy matching, and encryption at each stage to ensure user privacy.

Design and development of an intelligent system based on the Internet of Things for the early detection of forest fires

2022 ◽  
Vol 12 (2) ◽  
pp. 0-0
Keyword(s):  
Neural Network ◽  
Early Detection ◽  
Forest Fires ◽  
Mobile Applications ◽  
Intelligent System ◽  
The Internet ◽  
Scientific Practices ◽  
Depth Analysis ◽  
Neural Network Algorithm ◽  
The Internet Of Things

Automatic environmental monitoring is a field that encompasses several scientific practices for the assessment of risks that may negatively impact a given environment, such as the forest. A forest is a natural environment that hosts various forms of plant and animal life, so preserving the forest is a top priority. To this end, the authors of this paper will focus on the development of an intelligent system for the early detection of forest fires, based on an IoT solution. This latter will thus facilitate the exploitation of the functionalities offered by the Cloud and mobile applications. Detecting and predicting forest fires with accuracy is a difficult task that requires machine learning and an in-depth analysis of environmental conditions. This leads the authors to adopt the forward neural network algorithm by highlighting its contribution through real experiments, performed on the prototype developed in this paper.

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.

Application in Data Fusion of Internet of Things Based on the KL Distance of Reputation Model

2013 ◽  
Vol 760-762 ◽  
pp. 587-591 ◽  
Author(s):  
Xu Ping Zhu
Keyword(s):  
Internet Of Things ◽  
Data Fusion ◽  
Interconnection Network ◽  
Limited Resource ◽  
The Internet ◽  
User Privacy ◽  
Fusion Algorithm ◽  
Other Information ◽  
Reputation Model ◽  
The Internet Of Things

The Internet of Things is a bearer network based on the Internet, the traditional telecommunications network, wireless self-organizing networks etc, so that all can be individually addressable ordinary physical objects to achieve the interconnection network. The Internet of Things is evolved from the wireless sensor network, which has limited resource in energy, memory, calculation, bandwidth and etc,. In addition, many applications in the Internet of Things are related to user privacy. In the process of data collection and transmission, the data may be forged , tampered, and a variety of other information security threats. In order to extend the network lifetime, to protect the authenticity and reliability of data fusion, this paper presents a reputation model of data fusion algorithm. The algorithm is verified by simulation, the experimental results show that the proposed algorithm is effective and the result of data aggregation is reliable.

scholarly journals Research on the Construction of Cold Chain Logistics Intelligent System Based on 5G Ubiquitous Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Qi Hao Han
Keyword(s):  
Internet Of Things ◽  
Intelligent System ◽  
Hierarchical Control ◽  
Scientific Basis ◽  
Cold Chain ◽  
Agricultural Product ◽  
The Internet ◽  
Gps System ◽  
The Impact ◽  
The Internet Of Things

In the research on the construction of cold chain logistics intelligent system based on 5G ubiquitous Internet of Things as an emerging technology, the Internet of Things is penetrating into the logistics field with its technical advantages and changing the original industry form. According to the development status of cold chain logistics, this paper constructs a set of cold chain logistics intelligent system by using RFID technology, sensing equipment, GPS system, fuzzy PID hierarchical control, and other Internet of Things technologies and analyzes the impact of the cost sharing ratio of Internet of Things on the income of wholesalers, retailers, and supply chain. The example analysis shows that when retailers share all the adoption costs of the Internet of Things, the benefit of the whole fresh agricultural product cold chain logistics is the largest. This study provides a scientific basis for logistics decision-making for wholesalers and retailers and has important application value for improving the logistics efficiency of the whole fresh agricultural product cold chain.

scholarly journals IoT in Agriculture: A Smart Forming in Apartment Building at Sultanate of Oman

2020 ◽  
Author(s):  
Lamiya Yousuf AlSarmi ◽  
Puttaswamy M. R.
Keyword(s):  
Soil Moisture ◽  
Internet Of Things ◽  
Intelligent System ◽  
Modern Technology ◽  
The Internet ◽  
Optimal Management ◽  
Apartment Building ◽  
Smart Farming ◽  
Key Sectors ◽  
The Internet Of Things

  The world strives to exploit the fourth revolution in technology, including the great developments such as the Internet of Things (IoT) to improve life. IoT technology is used in many areas of life from industry health and environment to personal life. Agriculture is, therefore, one of the key sectors of life that have benefited from modern technology such as the use of drones for crop assessment, irrigation, monitoring and mapping, big data in crop analysis for companies and countries. The Internet of Things was not far off as it was introduced to monitor plant irrigation. Increased awareness of the environment and the exploitation of small and semi-enclosed areas in agriculture and turning them into green areas. The IoT technology converts this process into intelligent and dynamic based on wireless sensing with the help of the device programmed by the Arduino. This data is collected in Power BI what to help in the future development of the device and analysis of the data. The device senses soil moisture and temperature and connects it to its cloud platform for optimal management of future planting. The device senses soil moisture and temperature and connects it to its cloud power BI platform for optimal management of future planting. This technology helps reduce agricultural costs and labor. Therefore, this paper proposes an intelligent system with the help of the Internet of Things in the management of smart farming in apartment building with the help of Arduino.

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>

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