A Location-Aware Architecture for an IoT-Based Smart Museum

2016 ◽  
Vol 12 (2) ◽  
pp. 39-55 ◽  
Author(s):  
Giuseppe Del Fiore ◽  
Luca Mainetti ◽  
Vincenzo Mighali ◽  
Luigi Patrono ◽  
Stefano Alletto ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Image Recognition ◽  
Innovation Process ◽  
Modern Society ◽  
The Internet ◽  
Indoor Location ◽  
Location Aware ◽  
Technological Improvement ◽  
Art And Culture ◽  
The Internet Of Things

The Internet of Things, whose main goal is to automatically predict users' desires, can find very interesting opportunities in the art and culture field, as the tourism is one of the main driving engines of the modern society. Currently, the innovation process in this field is growing at a slower pace, so the cultural heritage is a prerogative of a restricted category of users. To address this issue, a significant technological improvement is necessary in the culture-dedicated locations, which do not usually allow the installation of hardware infrastructures. In this paper, we design and validate a no-invasive indoor location-aware architecture able to enhance the user experience in a museum. The system relies on the user's smartphone and a wearable device (with image recognition and localization capabilities) to automatically deliver personalized cultural contents related to the observed artworks. The proposal was validated in the MUST museum in Lecce (Italy).

A Location-Aware Architecture for an IoT-Based Smart Museum

2020 ◽  
pp. 413-432
Author(s):  
Giuseppe Del Fiore ◽  
Luca Mainetti ◽  
Vincenzo Mighali ◽  
Luigi Patrono ◽  
Stefano Alletto ◽  
...  
Keyword(s):  
Internet Of Things ◽  
User Experience ◽  
Image Recognition ◽  
Innovation Process ◽  
Modern Society ◽  
The Internet ◽  
Indoor Location ◽  
Location Aware ◽  
Art And Culture ◽  
The Internet Of Things

The Internet of Things, whose main goal is to automatically predict users' desires, can find very interesting opportunities in the art and culture field, as the tourism is one of the main driving engines of the modern society. Currently, the innovation process in this field is growing at a slower pace, so the cultural heritage is a prerogative of a restricted category of users. To address this issue, a significant technological improvement is necessary in the culture-dedicated locations, which do not usually allow the installation of hardware infrastructures. In this paper, we design and validate a no-invasive indoor location-aware architecture able to enhance the user experience in a museum. The system relies on the user's smartphone and a wearable device (with image recognition and localization capabilities) to automatically deliver personalized cultural contents related to the observed artworks. The proposal was validated in the MUST museum in Lecce (Italy).

Real-Time Smart Parking: Challenges and Solution using Machine learning and IoT

2021 ◽  
pp. 451-458
Author(s):  
Biren Bishnu Prasad Sahoo ◽  
Shahjad ◽  
Prakash Singh Tanwar
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Real Time ◽  
Modern Society ◽  
The Internet ◽  
Challenging Issue ◽  
Smart Parking ◽  
The Internet Of Things ◽  
Modern Technologies

Modernization is something that everyone wants. With the increase in modernization, people are expecting to live a sustainable and hassle-free life. In this modern society, Parking is a major issue. Due to the growing number of vehicles in these cities, parking becomes a challenging task. We have tried to boost this particular system with the help of modern technologies i.e., the Internet of Things and Machine Learning. So that we can enhance the solution for this challenging issue efficiently.

scholarly journals Internet of Things in Health Care: The Social, Ethical, Legal and Professional Implications

2020 ◽  
Author(s):  
Otobong Inieke
Keyword(s):  
Internet Of Things ◽  
New Technologies ◽  
Modern Society ◽  
The Elderly ◽  
High Rate ◽  
The Internet ◽  
The Novel ◽  
The Social ◽  
Use Of The Internet ◽  
The Internet Of Things

Implications of the novel usage adoption of the internet of things in various sectors of works and life are researched and documented at pace. This is related to the overall high rate at which new technologies are adopted in modern society. Healthcare is a vital aspect of everyday activities and as such overlaps with the increasingly important role played by use of the internet and associated technologies. The purpose of this review article is to draw attention to the potential social, ethical, legal and professional limitations to using IoT in the context of healthcare. The social and ethical aspects in particular, focus on IoT usage in care of the elderly with relevant case studies as reference.

scholarly journals Cloud Computing Image Recognition System Assists the Construction of the Internet of Things Model of Administrative Management Event Parameters

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Peikun Xie ◽  
Enchen Ma ◽  
Zaihua Xu
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Spatial Structure ◽  
Image Recognition ◽  
Recognition System ◽  
The Internet ◽  
Fusion Method ◽  
Application Layer ◽  
Administrative Management ◽  
The Internet Of Things

In order to successfully apply the Internet of Things and cloud computing to the administrative management of spatial structures and realize the systematization, digitization, and intelligence of administrative management, this article draws on research experience in related fields and considers the data characteristics and computing tasks of administrative management. The whole cycle of transmission, storage, postprocessing, and visualization is the main line of research, and a cloud computing-based spatial structure administrative management IoT system is constructed. First, by summarizing the application status of the Internet of Things, the general Internet of Things system is summarized into three levels, and combined with the specific work in the spatial structure administrative management, the overall framework of the spatial structure administrative management of the Internet of Things system is proposed, and the functional sublayers are carried out. Secondly, in response to the above problems, through the traditional image recognition system research and practical application investigation, in order to meet the user’s requirements for the computing efficiency and recognition accuracy of the image recognition system, an image recognition system in the cloud computing environment is proposed. It proposes a fuzzy evaluation algorithm of health grade hierarchy analysis optimized for the index system and scoring system and a calculation method that uses time series to identify regular outliers. The optical image pixel-level fusion method and the infrared and visible image fusion method based on complementary information are proposed, and the image fusion software is developed. Finally, in order to enable the application layer to use cluster resources to efficiently and intelligently process massive monitoring data containing redundancy, heterogeneity, anomalies, and many other defects, according to the calculation process of each specific task of data preprocessing and postprocessing in the application layer, demonstrations are made one by one. After analysis, it is concluded that vertical storage of data blocks according to different sensor channels is the optimal strategy.

scholarly journals Smart grid oriented Internet of Things technology and application analysis

2021 ◽  
Vol 2108 (1) ◽  
pp. 012045
Author(s):  
Wenting Zhou ◽  
Jingfeng Xiao
Keyword(s):  
Internet Of Things ◽  
Modern Society ◽  
The Internet ◽  
Social Production ◽  
Network Resources ◽  
Industrial Upgrading ◽  
Application Analysis ◽  
Internet Of Things Technology ◽  
Effective Integration ◽  
The Internet Of Things

Abstract In the development of modern society, the Internet itself with the characteristics of diversification and virtualization, has played a good application value. The Internet of Things can realize the interaction and construction of related network resources through the effective integration of physical and virtual bodies. It makes the overall information network communication and power industry structure to achieve the corresponding transformation and industrial upgrading, and ultimately promotes the transformation of social production structure. This provides good convenience for people and promotes the development of the whole society.

scholarly journals Design of Deep Learning Algorithm for IoT Application by Image based Recognition

2021 ◽  
Vol 3 (3) ◽  
pp. 276-290
Author(s):  
I Jeena Jacob ◽  
P Ebby Darney
Keyword(s):  
Feature Extraction ◽  
Deep Learning ◽  
Internet Of Things ◽  
Image Recognition ◽  
Research Work ◽  
Recognition Rate ◽  
Security And Privacy ◽  
The Internet ◽  
Learning Method ◽  
The Internet Of Things

The Internet of Things (IoT) is an ecosystem comprised of multiple devices and connections, a large number of users, and a massive amount of data. Deep learning is especially suited for these scenarios due to its appropriateness for "big data" difficulties and future concerns. Nonetheless, guaranteeing security and privacy has emerged as a critical challenge for IoT administration. In many recent cases, deep learning algorithms have proven to be increasingly efficient in performing security assessments for IoT devices without resorting to handcrafted rules. This research work integrates principal component analysis (PCA) for feature extraction with superior performance. Besides, the primary objective of this research work is to gather a comprehensive survey data on the types of IoT deployments, along with security and privacy challenges with good recognition rate. The deep learning method is performed through PCA feature extraction for improving the accuracy of the process. Our other primary goal in this study paper is to achieve a high recognition rate for IoT based image recognition. The CNN approach was trained and evaluated on the IoT image dataset for performance evaluation using multiple methodologies. The initial step would be to investigate the application of deep learning for IoT image acquisition. Additionally, when it comes to IoT image registering, the usefulness of the deep learning method has been evaluated for increasing the appropriateness of image recognition with good testing accuracy. The research discoveries on the application of deep learning in the Internet of Things (IoT) system are summarized in an image-based identification method that introduces a variety of appropriate criteria.

scholarly journals THE ARCHITECTURE OF SMART HOME INTERNET OF THINGS

T-Comm ◽  
2021 ◽  
Vol 15 (8) ◽  
pp. 58-61
Author(s):  
Al namer Zainal ◽  
Keyword(s):  
Internet Of Things ◽  
Smart Home ◽  
Early Stage ◽  
Modern Society ◽  
Modern Concept ◽  
High Tech ◽  
The Internet ◽  
Smart Technologies ◽  
High Level ◽  
The Internet Of Things

Modern society lives in the age of high and smart technologies. Innovative technologies are included in every part of our life. Almost all people use the innovations of scientific and technological progress in order to reduce costs, effort and time. Smart technology – a new approach to the organization of its goals, which allows to combine all available information at an early stage, to determine the list of necessary materials, set deadlines for execution of works and perform the task and clear to all participants of the process. Smart Home is a solution in which the operation and control of all systems at the level of an individual household is automated, providing a specific room with a high level of security and all the necessary living conditions, while remotely without unnecessary interference from service organizations. The building is equipped with special monitors with sensors that help detect threats to both the system and the residents themselves. One of the popular and developing trends and technologies in the Internet of Things today is “Smart- Home Internet of Things” (smart home of the Internet of Things) – SH-IoTs, which is designed for the most comfortable life of people through the use of modern high-tech means. In the modern concept of the smart home system of the Internet of Things SH-IoTs, as a rule, they invest in the automation of everyday, routine actions. For example, in the event of a fire in a room with special sensors installed, the smart home system will de-energize all electrical appliances in this room, etc.

scholarly journals Image Recognition of Modern Agricultural Fruit Maturity Based on Internet of Things

2021 ◽  
Vol 38 (4) ◽  
pp. 1237-1244
Author(s):  
Dan Chen ◽  
Jiali Tang ◽  
Haixu Xi ◽  
Xiaorong Zhao
Keyword(s):  
Internet Of Things ◽  
Image Fusion ◽  
Image Recognition ◽  
The Internet ◽  
Single Shot ◽  
Laplacian Pyramid ◽  
Fusion Algorithm ◽  
Modern Agriculture ◽  
Fruit Maturity ◽  
The Internet Of Things

The accurate judgement of fruit maturity is significant for modern agriculture. At present, few scholars have monitored and recognized fruit maturity based on the Internet of things (IoT) and image recognition technology. Therefore, this paper explores the image recognition of fruit maturity in the context of agricultural Internet of things (IoT). Firstly, the single shot multi-box detection (SSD) algorithm was improved for fruit recognition and positioning, and used to determine the size and position the fruits to be recognized. Next, an image fusion algorithm was designed based on improved Laplacian pyramid, which effectively compresses the large fruit monitoring images shot in the same scene. The proposed algorithm was proved feasible and effective through experiments.

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