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

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).

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Look before you leap: Exploring the challenges of technology and user experience in the Internet of Things

2017 IEEE 3rd International Forum on Research and Technologies for Society and Industry (RTSI) ◽

10.1109/rtsi.2017.8065920 ◽

2017 ◽

Cited By ~ 2

Author(s):

Muftah Fraifer ◽

Sameer Kharel ◽

Helen Hasenfuss ◽

Asma Elmangoush ◽

Alan Ryan ◽

...

Keyword(s):

Internet Of Things ◽

User Experience ◽

The Internet ◽

The Internet Of Things

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Research on User Experience Design of Smart Home Products Based on Internet of Things

Journal of Physics Conference Series ◽

10.1088/1742-6596/2074/1/012063 ◽

2021 ◽

Vol 2074 (1) ◽

pp. 012063

Author(s):

Fei Zhuang

Keyword(s):

Internet Of Things ◽

User Experience ◽

Home Environment ◽

Smart Home ◽

Living Standards ◽

The Internet ◽

Experience Design ◽

User Experience Design ◽

Interactive Experience ◽

The Internet Of Things

Abstract With the continuous amelioration of people’s living standards, people’s expectations for the experience of the home environment are also increasing. Using the Internet of things to carry out user experience design of smart home products can bring people more interactive experience and services. Based on this, this paper first analyses the concept and value of smart home products, then studies the experience design of smart home products based on the Internet of things, and finally gives the experience design strategy of smart home products based on the Internet of things.

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

International Journal of Scientific Research in Computer Science Engineering and Information Technology ◽

10.32628/cseit217295 ◽

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.

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A New Task Offloading Algorithm in Edge Computing

10.21203/rs.3.rs-56632/v2 ◽

2021 ◽

Author(s):

Zhenjiang Zhang ◽

Chen Li ◽

ShengLung Peng ◽

Xintong Pei

Keyword(s):

Internet Of Things ◽

User Experience ◽

Mobile Internet ◽

Edge Computing ◽

The Internet ◽

Disruptive Technology ◽

Computing Power ◽

New Applications ◽

The Internet Of Things ◽

Task Offloading

Abstract In the last few years, the Internet of Things (IOT), as a new disruptive technology, has gradually changed the world. With the prosperous development of the mobile Internet and the rapid growth of the Internet of Things, various new applications continue to emerge, such as mobile payment, face recognition, wearable devices, driverless, VR/AR, etc. Although the computing power of mobile terminals is getting higher and the traditional cloud computing model has higher computing power, it is often accompanied by higher latency and cannot meet the needs of users. In order to reduce user delay to improve user experience, and at the same time reduce network load to a certain extent, edge computing, as an application of IOT, came into being. In view of the new architecture after dating edge computing, this paper focuses on the task offloading in edge computing, from task migration in multi-user scenarios and edge server resource management expansion, and proposes a multi-agent load balancing distribution based on deep reinforcement learning DTOMALB, a distributed task allocation algorithm, can perform a reasonable offload method for this scenario to improve user experience and balance resource utilization. Simulations show that the algorithm has a certain adaptability compared to the traditional algorithm in the scenario of multi-user single cell, and reduces the complexity of the algorithm compared to the centralized algorithm, and reduces the average response delay of the overall user. And balance the load of each edge computing server, improve the robustness and scalability of the system.

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

10.20944/preprints202001.0359.v1 ◽

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.

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

Computational Intelligence and Neuroscience ◽

10.1155/2021/8630256 ◽

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.

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