scholarly journals Investigating the Barriers to Applying the Internet-of-Things-Based Technologies to Construction Site Safety Management

2022 ◽  
Vol 19 (2) ◽  
pp. 868
Author(s):  
Sanaz Tabatabaee ◽  
Saeed Reza Mohandes ◽  
Rana Rabnawaz Ahmed ◽  
Amir Mahdiyar ◽  
Mehrdad Arashpour ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Safety Management ◽  
Wearable Sensors ◽  
Leading Edge ◽  
Construction Site ◽  
Structured Interviews ◽  
Safety Hazards ◽  
Fuzzy Delphi ◽  
Practical Guidelines ◽  
The Internet Of Things

The utilization of Internet-of-Things (IoT)-based technologies in the construction industry has recently grabbed the attention of numerous researchers and practitioners. Despite the improvements made to automate this industry using IoT-based technologies, there are several barriers to the further utilization of these leading-edge technologies. A review of the literature revealed that it lacks research focusing on the obstacles to the application of these technologies in Construction Site Safety Management (CSSM). Accordingly, the aim of this research was to identify and analyze the barriers impeding the use of such technologies in the CSSM context. To this end, initially, the extant literature was reviewed extensively and nine experts were interviewed, which led to the identification of 18 barriers. Then, the fuzzy Delphi method (FDM) was used to calculate the importance weights of the identified barriers and prioritize them through the lenses of competent experts in Hong Kong. Following this, the findings were validated using semi-structured interviews. The findings showed that the barriers related to “productivity reduction due to wearable sensors”, “the need for technical training”, and “the need for continuous monitoring” were the most significant, while “limitations on hardware and software and lack of standardization in efforts,” “the need for proper light for smooth functionality”, and “safety hazards” were the least important barriers. The obtained findings not only give new insight to academics, but also provide practical guidelines for the stakeholders at the forefront by enabling them to focus on the key barriers to the implementation of IoT-based technologies in CSSM.

Tourism safety monitoring information service system based on internet of things and block-chain

2021 ◽  
pp. 1-7
Author(s):  
Lei Peng ◽  
Yan Chen
Keyword(s):  
Internet Of Things ◽  
Safety Management ◽  
Service System ◽  
Safety Information ◽  
Information Service ◽  
Safety Monitoring ◽  
The Internet ◽  
Rfid Tag ◽  
The Internet Of Things ◽  
Monitoring Information

Tourism safety is the lifeblood of national tourism development, and tourism safety information monitoring is an important foundation for tourism safety management. The maturity of Internet information technology has led to the rapid rise of blockchain and the Internet of Things. In essence, the blockchain is a shared database. The Internet of Things can access all kinds of necessary information through various networks, such as heat, electricity, dynamics, chemistry, biology, realize the ubiquitous connection between things and people, and realize the recognition and intelligent perception of objects. This article aims to study a tourism safety monitoring information service system based on the Internet of Things and blockchain. This paper uses the principle of sensor ranging and electromagnetic induction, acoustic calculation, sensor calculation, and RFID tag distance to measure the real-time position of the person’s RFID tag information and continuous monitoring information of infrasound intensity to monitor and pre-warn natural disasters in the scenic area. Research results, it shows that this system can monitor disaster information in time and can effectively reduce the risk of injury by 10% –20% of tourists.

scholarly journals Smart Cities using Internet of Things: Recent Trends and Techniques

2019 ◽  
Vol 8 (9S) ◽  
pp. 24-28
Keyword(s):  
Internet Of Things ◽  
Smart Cities ◽  
Wearable Sensors ◽  
The Internet ◽  
Human Beings ◽  
Smart Building ◽  
Recent Trends ◽  
The Internet Of Things ◽  
Smart Infrastructure

A Smart Cities focuses on the way we live. Smart governments are also acknowledged as augmentations of electronic governments based on the Internet of Things (IoT). There are many existing challenges in the environment such as, research in gadgets, framework and programming etc. Particularly, the Smart Cities are facing difficulties with IoT frameworks, systems administration, independent registration, wearable sensors, gadgets and systematization of aggregates including human beings as well as programming specialists. This paper incorporates role of Smart Cities in various domains such as smart infrastructure, smart building, smart security and so on. Moreover, the work depicts the IoT technologies for Smart Cities and the primary components along with the features of Smart Cities. This paper is based on technologies for Smart Cities which will benefit citizens by facilitating a platform for integrating all the resources and prompt communication of information. Furthermore, merits, demerits and main challenges of Smart Cities are discussed.

Security Model of Internet of Things Based on Binary Wavelet and Sparse Neural Network

2019 ◽  
Vol 10 (1) ◽  
pp. 1-17
Author(s):  
Zhihui Wang ◽  
Jingjing Yang ◽  
Benzhen Guo ◽  
Xiao Zhang
Keyword(s):  
Neural Network ◽  
Internet Of Things ◽  
Network Architecture ◽  
Safety Management ◽  
The Internet ◽  
Security Model ◽  
The Novel ◽  
Simulated Environment ◽  
Proposed Model ◽  
The Internet Of Things

At present, the internet of things has no standard system architecture. According to the requirements of universal sensing, reliable transmission, intelligent processing and the realization of human, human and the material, real-time communication between objects and things, the internet needs the open, hierarchical, extensible network architecture as the framework. The sensation equipment safe examination platform supports the platform through the open style scene examination to measure the equipment and provides the movement simulated environment, including each kind of movement and network environment and safety management center, turning on application gateway supports. It examines the knowledge library. Under this inspiration, this article proposes the novel security model based on the sparse neural network and wavelet analysis. The experiment indicates that the proposed model performs better compared with the other state-of-the-art algorithms.

scholarly journals ADLAuth: Passive Authentication Based on Activity of Daily Living Using Heterogeneous Sensing in Smart Cities

Sensors ◽  
2019 ◽  
Vol 19 (11) ◽  
pp. 2466 ◽  
Author(s):  
Maryam Naseer Malik ◽  
Muhammad Awais Azam ◽  
Muhammad Ehatisham-Ul-Haq ◽  
Waleed Ejaz ◽  
Asra Khalid
Keyword(s):  
Internet Of Things ◽  
User Authentication ◽  
Smart Cities ◽  
Activity Patterns ◽  
Wearable Sensors ◽  
Machine Learning Algorithms ◽  
Smart Devices ◽  
The Internet ◽  
Healthcare Applications ◽  
The Internet Of Things

The Internet of Things is a rapidly growing paradigm for smart cities that provides a way of communication, identification, and sensing capabilities among physically distributed devices. With the evolution of the Internet of Things (IoTs), user dependence on smart systems and services, such as smart appliances, smartphone, security, and healthcare applications, has been increased. This demands secure authentication mechanisms to preserve the users’ privacy when interacting with smart devices. This paper proposes a heterogeneous framework “ADLAuth” for passive and implicit authentication of the user using either a smartphone’s built-in sensor or wearable sensors by analyzing the physical activity patterns of the users. Multiclass machine learning algorithms are applied to users’ identity verification. Analyses are performed on three different datasets of heterogeneous sensors for a diverse number of activities. A series of experiments have been performed to test the effectiveness of the proposed framework. The results demonstrate the better performance of the proposed scheme compared to existing work for user authentication.

Research and Implementation of Muck Truck Regulatory System

2013 ◽  
Vol 475-476 ◽  
pp. 719-722
Author(s):  
Li Zhou
Keyword(s):  
Data Analysis ◽  
Internet Of Things ◽  
Real Time ◽  
Monitoring System ◽  
Regulatory System ◽  
The Internet ◽  
Construction Site ◽  
3G Networks ◽  
The Internet Of Things ◽  
Embedded Intelligence

To solve site muck truck regulation difficulty, a muck truck monitoring system is designed and implemented based on 3G networks and the Internet of Things. The system consisted of Hi3515 processors embedded intelligence analyzer, RFID, grating and camera. With the data send from the construction site, a B/S remote regulatory website is built to provide real-time monitoring, evidence preservation, data analysis and data summary.

The Design and Implementation of an Enterprise Mobile Information System Based on Internet of Things

2011 ◽  
Vol 403-408 ◽  
pp. 1922-1926
Author(s):  
Miao Ting Deng ◽  
Yan Lei Shang ◽  
Ping Li Gu
Keyword(s):  
Information System ◽  
Internet Of Things ◽  
Coal Mine ◽  
Mobile Application ◽  
Safety Management ◽  
Mobile Internet ◽  
Monitoring Systems ◽  
Intelligent Monitoring ◽  
Mobile Information ◽  
The Internet Of Things

Traditional monitoring systems with backward equipment and artificial management can’t meet a reliable and effective requirement, especially for coal mine enterprises. As the increasing occurrence of coal mine disasters, the safety management of coal mining has been more and more important. In this paper, we put forward an enterprise mobile information system based on the Internet of Things and mobile internet. With the mobile application developed on J2ME platform, users can monitor the situation of the mine in real time and at any place. The enterprise mobile information system will help to reduce the accidents and improve the level of intelligent monitoring at coal mines.

scholarly journals SeisDeNet: An Intelligent Seismic Data Denoising Network for the Internet of Things

2021 ◽  
Author(s):  
Yu Sang ◽  
Yanfei Peng ◽  
Mingde Lu ◽  
Liquan Li
Keyword(s):  
Internet Of Things ◽  
Seismic Data ◽  
Leading Edge ◽  
Seismic Signal ◽  
Seismic Exploration ◽  
Real Field ◽  
Signal Acquisition ◽  
Multi Scale ◽  
Seismic Records ◽  
The Internet Of Things

Abstract Deep learning (DL) has attracted tremendous interest in various fields in last few years. Convolutional neural networks (CNNs) based DL architectures have been successfully applied in computer vision, medical image processing, remote sensing, and many other fields. A recent work has proved that CNNs based models can also be used to handle geophysical problems. Due to noises in seismic signals acquired by geophone equipment this kind of important multimedia resources cannot be effectively utilized in practice. To this end, from the perspective of seismic exploration informatization, this paper takes informatization data in seismic signal acquisition and energy exploration field using cutting-edge technologies such as Internet of things and cloud computing as the research object, presenting a novel CNNs based seismic data denoising (SeisDeNet) architecture is suggested. Firstly, a multi-scale residual dense (MSRD) block is built to leverage the characteristics of seismic data. Then, a deep MSRD network (MSRDN) is proposed to restore the noisy seismic data in a coarse-to-fine manner by using cascading MSRDs. Additionally, the denoising problem is formulated into predicting transform-domain coefficients, by which noises can be further removed by MSRDNs while richer structure details are preserved comparing with the results in spatial domain. By using synthetic seismic records, public SEG and EAGE salt and overthrust seismic model and real field seismic data, the proposed method is qualitatively and quantitatively compared with other leading edge schemes to evaluate it performance, and some results shows that the proposed scheme can produce data with higher quality evaluation while maintaining far more useful data comparing with other schemes. The feasibility of this approach is confirmed by the denoising results, and this approach is shown to be promising in suppressing the seismic noise automatically.

scholarly journals A case study of the benefits of the IoT in the Qatari retail industry

2021 ◽  
Vol 24 (1) ◽  
pp. 86-107
Author(s):  
Nayef Al-Nabet
Keyword(s):  
Internet Of Things ◽  
Business Processes ◽  
Driving Forces ◽  
Environmental Benefits ◽  
Retail Industry ◽  
The Internet ◽  
Structured Interviews ◽  
Main Research ◽  
Iot Devices ◽  
The Internet Of Things

Technological advancements have led to the creation of new paradigms like the Internet of Things (IoT). These technologies are moving the digital space into a period where they will power billions of devices leading to the transformations of products and services provided by businesses. Therefore, the main purpose of this study is to explore the benefits of deployment of the Internet of Things (IoT) in businesses using the case of the Qatari retail businesses. The study assumed an interpretivism research philosophical stance and an addictive approach to theory utilising the Technology, Organisation, Environment model to guide the research. The research data were gathered using a qualitative approach utilising semi-structured interviews as the method of data collection. Accordingly, the heads of information technology in the selected retail industry businesses in Qatar were interviewed to answer the main research questions. The findings uncovered that retailers in Qatar are using the IoT devices such as sensors, scanners, beacons, smart shelves, personalisation alerts, and FRIDs to enable their key business operations and processes. Even though the Qatar retail businesses are not concerned about the specific IoT devices utilised, the benefits of their deployment established from the study include automation of business processes (Technological benefits), efficiency and personalisation of customer requirements (Organisational benefits), and increased collaboration and supply chain optimisation within the entire Qatar retail industry (Environmental benefits). As such, the results of the study agree with the TOE model that technology, organisation, and environment are the driving forces behind technology adoption and utilisation. Finally, among practical implications, a collaboration between software developers and the retail industry project professionals will ensure that the IoT artefacts are designed with security mechanisms, thus enhancing the security and safety of the information gathered from the IoT devices. Further, the study offers guidance on the theoretical elements that contribute to the benefits of utilising the IoT in Qatar retail businesses.

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