scholarly journals Graph-based fusion of magnetometer and learned-based inertial odometry

2021 ◽  
Author(s):  
Yan Wang ◽  
Jian Kuang ◽  
xiaoji niu
Keyword(s):  
Virtual Reality ◽  
Indoor Environment ◽  
Estimation Method ◽  
Position Estimation ◽  
The Internet ◽  
Test Results ◽  
Graph Optimization ◽  
Rapid Divergence ◽  
The Internet Of Things ◽  
Main Factor

<div>The 3D position estimation of pedestrians is a vital problem in the development of virtual reality, augmented reality, and the internet of things. The learning-based inertial odometry is a very potential auxiliary method of pedestrian positioning due to its low position drift and immunity to external environmental influences. However, in many cases, the drift error of the heading is still the main factor that causes the rapid divergence of the position estimated by the learning based inertial odometry. This paper proposed a graph optimization-based estimation method to fusing learned based inertial odometry and magnetometer measurements for obtaining lower drift position. The proposed algorithm does not need to calibrate the magnetometer bias, and effectively resist the influence of magnetic interference in the indoor environment, and can provide a very reliable absolute magnetic heading correction. Test results show that the proposed method can obtain better positioning performance than other methods using calibrated magnetometer observations.</div>

scholarly journals Graph-based fusion of magnetometer and learned-based inertial odometry

2021 ◽  
Author(s):  
Yan Wang ◽  
Jian Kuang ◽  
xiaoji niu
Keyword(s):  
Virtual Reality ◽  
Indoor Environment ◽  
Estimation Method ◽  
Position Estimation ◽  
The Internet ◽  
Test Results ◽  
Graph Optimization ◽  
Rapid Divergence ◽  
The Internet Of Things ◽  
Main Factor

<div>The 3D position estimation of pedestrians is a vital problem in the development of virtual reality, augmented reality, and the internet of things. The learning-based inertial odometry is a very potential auxiliary method of pedestrian positioning due to its low position drift and immunity to external environmental influences. However, in many cases, the drift error of the heading is still the main factor that causes the rapid divergence of the position estimated by the learning based inertial odometry. This paper proposed a graph optimization-based estimation method to fusing learned based inertial odometry and magnetometer measurements for obtaining lower drift position. The proposed algorithm does not need to calibrate the magnetometer bias, and effectively resist the influence of magnetic interference in the indoor environment, and can provide a very reliable absolute magnetic heading correction. Test results show that the proposed method can obtain better positioning performance than other methods using calibrated magnetometer observations.</div>

Research on Smart Campus Based on the Internet of Things and Virtual Reality

2016 ◽  
Vol 10 (12) ◽  
pp. 213-220 ◽  
Author(s):  
Youliang Huang ◽  
Sajid Ali ◽  
Xiaoming Bi ◽  
Xing Zhai ◽  
Renquan Liu ◽  
...  
Keyword(s):  
Virtual Reality ◽  
Internet Of Things ◽  
The Internet ◽  
Smart Campus ◽  
The Internet Of Things

scholarly journals Disinfectant Spraying Robot to Prevent the Transmission of the Covid-19 Virus Based on the Internet of Things (IoT)

2021 ◽  
Vol 5 (2) ◽  
pp. 61-67
Author(s):  
Indah Sulistiyowati ◽  
Moh Imam Muhyiddin
Keyword(s):  
Internet Of Things ◽  
Environmental Conditions ◽  
Personal Protective Equipment ◽  
Lag Time ◽  
The Internet ◽  
Protective Equipment ◽  
Test Results ◽  
Environmental Hygiene ◽  
Time Required ◽  
The Internet Of Things

One way to prevent the transmission and spread of Covid-19 is to always keep ourselves and our environment clean. Maintaining personal and environmental hygiene can be done by using antiseptics and disinfectants. Disinfectants that are not used properly will be bad for humans. That is why so far the spraying of disinfectants for the prevention of COVID-19 has been carried out by human workers who are dressed in complete Personal Protective Equipment (PPE) using manual sprayers. This is certainly very risky to humans who do the spraying manually. The objective of this research is to minimize the risk of spraying disinfectants, by using a robotic power to spray disinfectant based on the Internet of Things (IoT) and a camera. This robot is operated by using a smartphone while to determine the environmental conditions around it is used a camera. From the test results, it obtained data that the robot works well and is quite reliable due to the wider scope limit because it uses an IoT connection to communicate with smartphones. The results of camera readings on laptops are also quite clear, although the higher the resolution on the display, the lag time required to transfer images to the laptop affects.

Expert system for identifying and analyzing the IoT devices using Augmented Reality Approach

2021 ◽  
pp. 43-57
Author(s):  
WASIN ALKISHRI ◽  
Mahmood Al-Bahri
Keyword(s):  
Augmented Reality ◽  
Internet Of Things ◽  
Specific Area ◽  
Relevant Information ◽  
The Internet ◽  
Test Results ◽  
New Development ◽  
Server Software ◽  
Iot Devices ◽  
The Internet Of Things

Biometrics In conjunction with the new development of the Internet of Things (IoT), augmented reality (AR) systems are evolving to visualize 3D virtual models of the real world into an intelligent and interactive virtual reality environment that facilitates physical identification of objects and defines their specifications efficiently. The integration between AR and IoT in a complementary way helps identify network-related items' specifications and interact with the Internet of Things more efficiently. An identity is a dedicated, publicly known attribute or set of names for an individual device. Typically, identifiers operate within a specific area or network, making it difficult to identify things globally. This paper explores the use of Augmented Reality (AR) Technology for identifying devices and displaying relevant information about the device to the user. Based on the developed model network, the developed system of identification of IoT devices was tested. Also, the traffic generated by the AR device when generating requests to the organization server was investigated. According to the test results, the system is undemanding to the main network indicators. The system-generated traffic is self-similar. The test results show that the server software can solve the problems of identifying IoT devices through interaction with augmented reality devices.

scholarly journals Community privacy estimation method based on key node method in space social Internet of Things

2019 ◽  
Vol 15 (10) ◽  
pp. 155014771988313 ◽  
Author(s):  
Guobin Chen ◽  
Tangsen Huang
Keyword(s):  
Social Network ◽  
Internet Of Things ◽  
Estimation Method ◽  
Public Information ◽  
Clustering Coefficient ◽  
The Internet ◽  
The Core ◽  
Social Internet Of Things ◽  
Internet Of Things Technology ◽  
The Internet Of Things

Based on the research of social network and the Internet of Things, a new research topic in the field of Internet of Things, Social Internet of Things is gradually formed. The SIoT applies the research results of SIoT from different aspects of the Internet of Things, and solves the specific problems in the research of Internet of Things, which brings new opportunities for the development of the Internet of Things. With the development of the Internet of Things technology, in the spatial social Internet of Things structure, user information includes sensitive attributes and non-sensitive attribute information. This information can be inferred from public user information to infer the information of the private user and even speculate on sensitive attributes. This article proposes an information speculation method based on the core users of spatial social networks, and estimates the non-core user information through the core user public information. First, the user’s spatial social network is divided into communities, and the core nodes of the community in the spatial social network are calculated by PageRank algorithm and the convergence of the algorithm is proved. Then, through the public information of the core nodes divided by the community in the space social network, the private information of relevant users to these core nodes can be speculated. Finally, by experimental analyzing the community structures of SIoT (Social Internet of Things) like Twitter, Sina Weibo, ER random networks, and NW small-world network, and making 5%, 10%, 15%, 20% information anonymous respectively in these four kinds of networks, we can analyze their clustering coefficient, Q-modularity and properties. Finally, the key node information of the four spatial social structures is speculated to analyze the effectiveness of the proposed method. Compared with the non-core speculation method, this method has advantages in speculative information integrity and time.

scholarly journals The Infusion of Notification Design With an Application of Social Media Based on a Internet of Things (IOT)

SinkrOn ◽  
2020 ◽  
Vol 5 (1) ◽  
pp. 129
Author(s):  
Rudi Arif Candra ◽  
Devi Satria Saputra ◽  
Dirja Nur Ilham ◽  
Herry Setiawan ◽  
Hardisal Hardisal
Keyword(s):  
Internet Of Things ◽  
Network Connectivity ◽  
Load Cell ◽  
Sensor Data ◽  
The Internet ◽  
Hospital Nurses ◽  
Test Results ◽  
Iot Platform ◽  
The Internet Of Things ◽  
Internet Network

This study discusses the infusion detection device in a hospital room. This tool is designed to help hospital nurses to cope more quickly to avoid problems due to the infusion. Load cell sensors are used as heavy detectors that send notifications to the nurses through the telegram application that has been installed. The nurse will get a notification message sent to the telegram if the sensor has read the weight. The tool is made using a load cell sensor and NodeMCU Wi-FiESP866 which functions to send notification of the results of sensor data input to the Internet of Things (IOT) platform namely Telegram. Nurses need to be connected to the internet network to get notifications on the telegram. Test results show that the time needed to send and receive notifications on Telegram takes about 2-5 seconds. The message will be sent 3 times, first the infusion WARNING is almost exhausted (alert), second the infusion WARNING is almost exhausted (standby) and the infusion WARNING is almost exhausted (please replace). If the infusion is not replaced by the nurse, it will be warned by Buzzer. However, time can be influenced by the available internet network connectivity. However, time can be affected by the available internet network.

Challenges in Fine Feature Solder Paste Printing for SiP Applications

2016 ◽  
Vol 2016 (1) ◽  
pp. 000245-000249
Author(s):  
Sze Pei-Lim ◽  
Kenneth Thum ◽  
Andy Mackie
Keyword(s):  
Rapid Development ◽  
The Internet ◽  
Powder Size ◽  
Solder Paste ◽  
Test Results ◽  
Passive Components ◽  
Solder Paste Printing ◽  
Small Form Factor ◽  
The Internet Of Things ◽  
Printing Parameters

Abstract The rapid development in the Internet of Things (IoT) has seen a surge in demand for System-in-Package (SiP), which is capable of packing more functionality into a single package with a small form factor. This continues to push miniaturization to an even greater level, therefore creating assemblies with smaller components and greater density. 01005 passive components are being used in most of the current SiP technology and the industry is looking at utilizing 008004 passive components for the next generation SiP. The stencil aperture design for 008004 will likely be about half of 01005, and a finer powder size solder paste will be used. The stencil design, stencil thickness, and the types of stencils being used, are crucial in achieving good solder paste printing performance. Due to the need of squeezing more components into a SiP, the gap between neighboring pads can be as close as 50μm; hence, it is crucial to avoid solder bridging for such applications. This paper will discuss the challenges in achieving consistent solder paste printing performance for fine feature applications using Type 6 (5–15μm) powder size solder paste. Test results with different stencil designs, printing parameters, and different solder pastes will be discussed in detail.

scholarly journals VR-CPES: A Novel Cyber-Physical Education Systems for Interactive VR Services Based on a Mobile Platform

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Hanjin Kim ◽  
Heonyeop Shin ◽  
Hyeong-su Kim ◽  
Won-Tae Kim
Keyword(s):  
Virtual Reality ◽  
Physical Education ◽  
Internet Of Things ◽  
Real World ◽  
Cyber Physical Systems ◽  
Mobile Platform ◽  
The Internet ◽  
Physical Systems ◽  
The Real ◽  
The Internet Of Things

The evolution of virtual reality technology allows users to immerse themselves into virtual environments, providing a new experience that is impossible in the real world. The appearance of cyber-physical systems and the Internet of things makes humans to understand and control the real world in detail. The integration of virtual reality into cyber-physical systems and the Internet of things may induce innovative education services in the near future. In this paper, we propose a novel, a virtual reality-based cyber-physical education system for efficient education in a virtual reality on a mobile platform, called VR-CPES. VR-CPES can integrate the real world into virtual reality using cyber-physical systems technology, especially using digital twin. We extract essential service requirements of VR-CPES in terms of delay time in the virtual reality service layer. In order to satisfy the requirements of the network layer, we design a new, real-time network technology interworking software, defined as network and time-sensitive network. A gateway function for the interworking is developed to make protocol level transparency. In addition, a path selection algorithm is proposed to make flexible flow between physical things and cyber things. Finally, a simulation study will be conducted to validate the functionalities and performance in terms of packet loss and delay as defined in the requirements.

An Anti-Collision Algorithm Based on Slot Location and Tag Estimation

2013 ◽  
Vol 756-759 ◽  
pp. 3394-3398
Author(s):  
Yong Liu ◽  
Xing Zhong Xiong
Keyword(s):  
Internet Of Things ◽  
The Internet ◽  
Test Results ◽  
Traditional Algorithm ◽  
The Internet Of Things ◽  
Better Than

RFID is one of the most important technologies in the Internet of Things (IoT), which has been widely used in all kinds of fields. However, a key problem is the tag collision when multiple tags reflect simultaneously to a reader. In traditional algorithm, slot location is always ignored. We present an anti-collision algorithm based on tag estimation and slot location in this paper. The key technique can be divided into two parts: precisely tag estimation and slot location. Simulation and test results show that the proposed anti-collision algorithm performs better than the traditional algorithm despite its simplicity.

scholarly journals Unleashing the Creativity of Entrepreneurs with Digital Technologies

2020 ◽  
pp. 23-49
Author(s):  
Robert D. Hisrich ◽  
Mariusz Soltanifar
Keyword(s):  
Artificial Intelligence ◽  
Virtual Reality ◽  
Internet Of Things ◽  
Focus Groups ◽  
Digital Technologies ◽  
Digital Age ◽  
The Internet ◽  
Inventory Analysis ◽  
The Internet Of Things ◽  
Practical Implications

AbstractFor decades, creativity has been used to generate ideas among entrepreneurs and their teams. Although extensive research has been conducted on creativity, the majority of studies have focused on traditional ways of stimulating creativity, such as focus groups, the collective notebook method, brainstorming, brainwriting, reverse brainstorming and problem inventory analysis. However, the digital age appears to challenge much of this existing work on the nature of creativity. It is clear that online creativity and audiences are affecting the meaning, expression and impact of creativity. The traditional techniques of stimulating creativity have been replaced and aided by technology-driven innovations, such as artificial intelligence (AI), virtual reality (VR) and the Internet of things (IoT). This chapter explores ways to activate the creativity of entrepreneurs and their teams through the use of digital technologies. We believe that this chapter provides a rich source of examples on how technology is currently being used to support creativity by encouraging entrepreneurs and their teams to make connections, develop ideas, create meaning, collaborate and communicate. We present, in detail, three case studies and discuss practical implications for the future.

Sign in / Sign up

Export Citation Format

Share Document