scholarly journals An internet of things secosystem for planting of coriander (Coriandrum sativum L.)

2021 ◽  
Vol 11 (5) ◽  
pp. 4568
Author(s):  
Panana Tangwannawit ◽  
Kanita Saengkrajang
Keyword(s):  
Internet Of Things ◽  
Production Efficiency ◽  
Coriandrum Sativum ◽  
Prototype System ◽  
Field Environment ◽  
Different Types ◽  
Computer Based ◽  
The Internet Of Things ◽  
Grown Plant ◽  
Temperature Water

<p>The internet of things (IoT) is a network of physical devices and is becoming a major area of innovation for computer-based systems. Agriculture is one of the areas which could be improved by utilizing this technology ranging from farming techniques to production efficiency. The objective of this research is to design an IoT to monitor local vegetable (Coriander; <em>Coriandrum sativum</em> L.) growth via sensors (light, humidity, temperature, water level) and combine with an automated watering system. This would provide planters with the ability to monitor field conditions from anywhere at any time. In this research, a group of local vegetables including coriander, cilantro, and dill weed were experimented. The prototype system consists of several smart sensors to accurately monitor the mentioned vegetable growth from seedling stage to a fully grown plant which will ensure the highest production levels from any field environment. Three different types coriander were measured under these parameters: height, trunk width, and leaf width. The result showed that IoT ecosystem for planting different types of coriander could produce effective and efficient plant growth and ready for harvest with a shorter time than conventional method.</p>

Research on Human-Computer Interaction Control Method in the Background of Internet of Things

2021 ◽  
Author(s):  
Yingying Hu ◽  
Zhongyang Li
Keyword(s):  
Internet Of Things ◽  
Control Method ◽  
Computer Control ◽  
Control Device ◽  
Smart Devices ◽  
The Internet ◽  
Interactive Control ◽  
Interaction Control ◽  
Different Types ◽  
The Internet Of Things

Against the background of the growing development of the Internet of Things, this article conducts research on more efficient methods for controlling the interconnection of all things, and proposes that smart devices use the same operating platform, and the human-computer interface presents universal modular controls for manipulation, it can satisfy the requirement that one device controls several different types of controlled device simultaneously. At the same time, the interactive method uses the controlled device to actively submit control content to the control device, and discusses the human-computer interactive control method applicable to the Internet of Everything, and strives to achieve a convenient and easy-to-use human-computer control experience.

IoT-Based Precision Agriculture System

2020 ◽  
pp. 1-7
Author(s):  
Sarita Tripathy ◽  
Shaswati Patra
Keyword(s):  
Internet Of Things ◽  
Precision Agriculture ◽  
Modern Method ◽  
The Internet ◽  
Huge Number ◽  
Traditional Farming ◽  
Smart Farming ◽  
Different Types ◽  
Farm Vehicles ◽  
The Internet Of Things

The huge number of items associated with web is known as the internet of things. It is associated with worldwide data consisting of various components and different types of gadgets, sensors, and software, and a large variety of other instruments. A large number of applications that are required in the field of agriculture should implement methods that should be realistic and reliable. Precision agriculture practices in farming are more efficient than traditional farming techniques. Precision farming simultaneously analyzes data along with generating it by the use of sensors. The application areas include tracking of farm vehicles, monitoring of the livestock, observation of field, and monitoring of storage. This type of system is already being accepted and adopted in many countries. The modern method of smart farming has started utilizing the IoT for better and faster yield of crops. This chapter gives a review of the various IoT techniques used in smart farming.

The Study on the Methodology of Transactionevent in the Ale of Rfid Networks

2014 ◽  
Vol 556-562 ◽  
pp. 5321-5327
Author(s):  
Hui Qun Zhao ◽  
Hai Gang Yang
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Large Data ◽  
The Internet ◽  
Prototype System ◽  
Processing Efficiency ◽  
Long Period ◽  
Rfid Networks ◽  
Integrated Program ◽  
The Internet Of Things

TransactionEvent is one of the five events defined in EPCGlobal standard. As TransactionEvent lasts for a long period and processes large data, it has a higher demand of real-time. The process of the TransactionEvent in the Internet of Things is complex. In order to overcome these disadvantages, this paper proposes a non-integrated program. This program will ensure the TransactionEvent processing efficiency, reliability and real time. In the end of this paper, the article will implement a prototype system of a commercial IoT to verify this method.

scholarly journals Development of Monitoring System using the Internet of Things for Industrial Revolution 4.0

2020 ◽  
Vol 9 (3) ◽  
pp. 2790-2794
Keyword(s):  
Internet Of Things ◽  
Humidity Sensor ◽  
Industrial Revolution ◽  
Smartphone Application ◽  
Raspberry Pi ◽  
The Internet ◽  
Prototype System ◽  
Iot Platform ◽  
Relative Change ◽  
The Internet Of Things

The fourth industrial revolution represents smarter systems, faster and more optimized system of artificial intelligence, which involves control systems and sensors networks. In this paper, the concept of the Internet of Things (IoT) was applied preliminarily to create the connection between machine and the user, using a sensor, a processor such as Raspberry Pi, and IoT platform application such as Blynk in the smartphone. The simple IR 4.0 prototype system and IoT apps were developed in order to create a connection between sensors and user through the internet consisting of a temperature and humidity sensor, which is DHT11 and a Raspberry Pi 3 Model B. The smartphone application would be developed through the Blynk application for this simple prototype system. The graphical user interface GUI was built within the Blynk app and link it to the sensor which is already connected to the Raspberry Pi. The analysis that was done upon the system is by varying the stimuli to the sensors, which is a hairdryer with three levels of heat and observe the relative change of the reading of temperature and percentage of humidity on the apps. Therefore, the preliminary result shows an increase in temperature as the heat level increases. On the other hand, the percentage of humidity becomes lower as the temperature goes higher. Based on the results and the analysis, it had shown that the IR 4.0 prototype system of IoT monitoring can connect between the sensor and the smartphone application with real-time monitoring through the internet.

scholarly journals COSMOS: Collaborative, Seamless and Adaptive Sentinel for the Internet of Things

Sensors ◽  
2019 ◽  
Vol 19 (7) ◽  
pp. 1492 ◽  
Author(s):  
Pantaleone Nespoli ◽  
David Useche Pelaez ◽  
Daniel Díaz López ◽  
Félix Gómez Mármol
Keyword(s):  
Internet Of Things ◽  
Real World ◽  
Smart Devices ◽  
Raspberry Pi ◽  
The Internet ◽  
Security Issues ◽  
Dynamic Scenario ◽  
Computer Based ◽  
Iot Devices ◽  
The Internet Of Things

The Internet of Things (IoT) became established during the last decade as an emerging technology with considerable potentialities and applicability. Its paradigm of everything connected together penetrated the real world, with smart devices located in several daily appliances. Such intelligent objects are able to communicate autonomously through already existing network infrastructures, thus generating a more concrete integration between real world and computer-based systems. On the downside, the great benefit carried by the IoT paradigm in our life brings simultaneously severe security issues, since the information exchanged among the objects frequently remains unprotected from malicious attackers. The paper at hand proposes COSMOS (Collaborative, Seamless and Adaptive Sentinel for the Internet of Things), a novel sentinel to protect smart environments from cyber threats. Our sentinel shields the IoT devices using multiple defensive rings, resulting in a more accurate and robust protection. Additionally, we discuss the current deployment of the sentinel on a commodity device (i.e., Raspberry Pi). Exhaustive experiments are conducted on the sentinel, demonstrating that it performs meticulously even in heavily stressing conditions. Each defensive layer is tested, reaching a remarkable performance, thus proving the applicability of COSMOS in a distributed and dynamic scenario such as IoT. With the aim of easing the enjoyment of the proposed sentinel, we further developed a friendly and ease-to-use COSMOS App, so that end-users can manage sentinel(s) directly using their own devices (e.g., smartphone).

User Authentication Scheme for Internet of Things Using Near-Field Communication

2020 ◽  
Vol 27 (05) ◽  
pp. 2040012
Author(s):  
Muhammad H. Alharbi ◽  
Omar H. Alhazmi
Keyword(s):  
Internet Of Things ◽  
Private Information ◽  
Hash Function ◽  
User Authentication ◽  
Near Field ◽  
Security Analysis ◽  
Xor Operation ◽  
Different Types ◽  
User Authentication Scheme ◽  
The Internet Of Things

In the Internet of things (IoT), the user authentication process is becoming more critical with the growing number of the services provided by IoT. Securing access to these services by the user authentication process leads to high security to prevent any attack on the IoT network. The approach keeps the private information secured efficiently and ensuring that only authorized users can access this information. The proposed scheme uses only Chaskey hash function and XOR operation. The security analysis proves that it is immune to different types of attacks. Furthermore, the scheme is faster, lighter on resources and energy consumption compared to other existing schemes. Finally, we compare the proposed scheme to several other existing schemes on several aspects highlighting main differences.

Research on the CAD / CAM Collaborative Mode Based on the IOT

2011 ◽  
Vol 335-336 ◽  
pp. 583-586
Author(s):  
Li Jun Cao
Keyword(s):  
Internet Of Things ◽  
Manufacturing Industry ◽  
Production Efficiency ◽  
Computer Network ◽  
The Internet ◽  
Market Demand ◽  
Manufacturing Enterprises ◽  
New Business ◽  
Cad Cam ◽  
The Internet Of Things

The Internet of Things need new business mode to developing. Under the booming manufacturing industry, modern IT technology is applied in traditional mechanical processing and manufacturing industry to relieve the talents shortage, and to improve production efficiency. According to the characteristics of CNC machinery, proposed an idea that to establish a CAD/CAM integrating services platform by equipment manufacturing enterprises. By taking full advantage of technology and human resources, offer services to equipment users to meet market demand. The mode uses advanced computer network technology, providing a new business model to the development of the internet of things, also, offering a new way for the upgrading of enterprise products.

scholarly journals Enabling the Secure Use of Dynamic Identity for the Internet of Things—Using the Secure Remote Update Protocol (SRUP)

2020 ◽  
Vol 12 (8) ◽  
pp. 138
Author(s):  
Andrew John Poulter ◽  
Steven J. Ossont ◽  
Simon J. Cox
Keyword(s):  
Internet Of Things ◽  
The Internet ◽  
Practical Implementation ◽  
Different Types ◽  
Identity Model ◽  
Dynamic Identity ◽  
Iot Devices ◽  
Deployed Systems ◽  
And Control ◽  
The Internet Of Things

This paper examines dynamic identity, as it pertains to the Internet of Things (IoT), and explores the practical implementation of a mitigation technique for some of the key weaknesses of a conventional dynamic identity model. This paper explores human-centric and machine-based observer approaches for confirming device identity, permitting automated identity confirmation for deployed systems. It also assesses the advantages of dynamic identity in the context of identity revocation permitting secure change of ownership for IoT devices. The paper explores use-cases for human and machine-based observation for authentication of device identity when devices join a Command and Control(C2) network, and considers the relative merits for these two approaches for different types of system.

scholarly journals Monitoring Dangerous Goods in Container Yard Using the Internet of Things

2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Lianhong Ding ◽  
Yifan Chen ◽  
Juntao Li
Keyword(s):  
Internet Of Things ◽  
Transport Layer ◽  
The Internet ◽  
Prototype System ◽  
Information Industry ◽  
Application Layer ◽  
Fire Control ◽  
Dangerous Goods ◽  
Environment Parameters ◽  
The Internet Of Things

The Internet of Things (IoT), a network of objects, has been regarded as the next revolution for the global information industry after the Internet. With IoT, many intelligent applications can be accomplished or improved. This paper presents a framework for dangerous goods management in container yard using IoT technology. The framework consists of three layers: perceptual layer, transport layer, and application layer. It offers an infrastructure for management and data analysis and utilization. According to the features of dangerous goods, the framework can be enhanced for container information forecast, container gate-in and gate-out management, environment parameters monitoring, and fire control as well. In order to verify our method, a prototype system is developed, which shows good performance. With our method, safe operation of dangerous goods in container yard can be accomplished.

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