scholarly journals Characteristic Analysis of Multisource Heterogeneous Data in Digital City Planning Based on Internet of Things

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Xiao Xiao
Keyword(s):  
Internet Of Things ◽  
City Planning ◽  
Heterogeneous Data ◽  
Feature Analysis ◽  
The Internet ◽  
Digital City ◽  
Characteristic Analysis ◽  
True Value ◽  
The Relationship ◽  
The Internet Of Things

The purpose of this article is to use the Internet of Things related technology to analyze the characteristics of multisource and easy-to-purchase data for the different types of planning data and different levels of cognitive needs of participants in the entire urban planning process. This paper uses the ontology idea to reconstruct the relationship between multisource and heterogeneous planning data including Internet of Things data, planning documents, and planning drawings, to design the data semantic relationship of the ontology model elements, define the relationship between the data types, and implement the ontology-based method. The semantic expression algorithm in the planning field facilitates the exchange of various planning participants’ understanding of the planning scheme, at the same time, according to the classification of multisource heterogeneous data features, logical reasoning of ontology relationships, filtering redundant information, and multisource heterogeneous planning data visualization. Finally, the information of the same nature collected by the sensor nodes of the Internet of Things is batched, and the calculated fusion information is closer to the true value through a series of weighting formulas. Experiments prove that the feature analysis method proposed in this paper can maintain a loss of 0.02% and achieve an accuracy rate of 79.1% when the overall characteristics of digital city planning are reduced by 67%, which effectively proves the multisource heterogeneous data feature analysis for digital city planning importance.

Influence of Characteristics of the Internet of Things on Consumer Purchase Intention

2014 ◽  
Vol 42 (2) ◽  
pp. 321-330 ◽  
Author(s):  
YaPing Chang ◽  
XueBing Dong ◽  
Wei Sun
Keyword(s):  
Internet Of Things ◽  
Product Design ◽  
Purchase Intention ◽  
Emotional Experience ◽  
The Internet ◽  
Product Characteristics ◽  
Consumer Purchase Intention ◽  
Functional Experience ◽  
The Relationship ◽  
The Internet Of Things

We studied the mechanism of the influence of the Internet of Things (IOT) product characteristics on consumer purchase intention. The results of a survey of 360 consumers showed that 6 dimensions of IOT product characteristics influence purchase intention; namely connectivity, interactivity, telepresence, intelligence, convenience, and security. We found that customer experience was the key mediating variable in the relationship between IOT product characteristics and purchase intention. Connectivity, interactivity, telepresence, intelligence, convenience, and security all positively influenced purchase intention via functional experience. Furthermore, connectivity, telepresence, convenience, and security positively influenced purchase intention via emotional experience. Our findings in the study provide some points of reference for improvement of IOT product design.

The Role of Internet of Things, Knowledge Management, and Open Innovation in SME Sustainability

2020 ◽  
pp. 295-303
Author(s):  
Muhammad Imran ◽  
Jawad Iqbal ◽  
Hassan Mujtaba Nawaz Saleem
Keyword(s):  
Decision Making ◽  
Knowledge Management ◽  
Internet Of Things ◽  
Open Innovation ◽  
Knowledge Generation ◽  
The Internet ◽  
Process Framework ◽  
The Relationship ◽  
The Internet Of Things

The main objective of the chapter is to discuss the relationship between internet of things and knowledge management; knowledge management and open innovation; open innovation and SMEs sustainability. The relationship between the constructs developed and discuss on the behalf of past studies. The present chapter found that Internet of Things is playing an important role in knowledge generation and management, further, knowledge management is very important for open innovation environment in SMEs. Moreover, the open innovation sustains the SMEs performance. In respect of implications, the owner / managers of SMEs should consider the Internet of Things, knowledge management, and open innovation capabilities during the decision making for SME sustainability. Moreover, this is a process framework which brings the effect of one variable to other variables. However, the future studies should empirically validate the proposed research framework.

scholarly journals FOURTH INDUSTRIAL REVOLUTION: HOW THE INTERNET OF THINGS INFLUENCESON INDUSTRIAL BUSINESS RELATIONSHIPS?

2018 ◽  
pp. 16-29 ◽  
Author(s):  
A. V. Trachuk ◽  
N. V. Linder
Keyword(s):  
Internet Of Things ◽  
Information Exchange ◽  
Industrial Revolution ◽  
The Internet ◽  
Industrial Companies ◽  
Demand Information ◽  
Relationship Of ◽  
The Relationship ◽  
The Internet Of Things ◽  
Selection Of

Empirical research is devoted to influence of quality and value of relationship of partners on acceptance of the Internet-of-Things (IoT) technologies. Research is based on carrying out interview in selection of 51 companies (157 respondents).Transformation of relationship of the industrial companies in the B2B markets as a result of introduction of technology of the Internet of things is shown. It is shown that the IoT technologies influence transformation of norms of relationship among which a key role play: information exchange, technical feasibility, flexibility, openness, technological acceptance, trust, lack of opportunism, monitoring of behavior of partners. IntroductionofIoTaddsonemorekeyinterrelationhavingnatureofblastingtechnology – information. Further it will demand “information as service” model development.Key characteristics of quality, and also function of value of the relationship, influencing acceptance by the companies of the IoT technologies are allocated. Рractical recommendations about application of the received results of research are presented.

scholarly journals Consensus-Based Data Management within Fog Computing For the Internet of Things

2021 ◽  
Author(s):  
AISDL
Keyword(s):  
Internet Of Things ◽  
Data Management ◽  
Fog Computing ◽  
Heterogeneous Data ◽  
The Internet ◽  
Effective Decision ◽  
Effective Decision Making ◽  
New Generation ◽  
Delivery Models ◽  
The Internet Of Things

The Internet of Things (IoT) infrastructure forms a gigantic network of interconnected and interacting devices. This infrastructure involves a new generation of service delivery models, more advanced data management and policy schemes, sophisticated data analytics tools, and effective decision making applications. IoT technology brings automation to a new level wherein nodes can communicate and make autonomous decisions in the absence of human interventions. IoT enabled solutions generate and process enormous volumes of heterogeneous data exchanged among billions of nodes. This results in Big Data congestion, data management, storage issues and various inefficiencies. Fog Computing aims at solving the issues with data management as it includes intelligent computational components and storage closer to the data sources.

scholarly journals Mediated Tarekat Qadiriyah wa Naqshabandiyah in the Digital Era: An Ethnographic Overview

2021 ◽  
Vol 22 (1) ◽  
pp. 35
Author(s):  
Zulfan Taufik ◽  
Muhammad Taufik
Keyword(s):  
Internet Of Things ◽  
The Internet ◽  
Online Media ◽  
Islamic Revival ◽  
Digital Era ◽  
Challenges And Opportunities ◽  
Sufi Order ◽  
Relationship Of ◽  
The Relationship ◽  
The Internet Of Things

This article examines how Tarekat Qadiriyah wa Naqshabandiyah (TQN) utilizes online media to strengthen its existence. As an integral part of the Islamic revival in Indonesia, Sufi orders (tarekat) are facing remarkable challenges and opportunities in maintaining their existence in the digital era. Nevertheless, previous studies observed Sufi orders as a traditional community that would be exterminated by the pace of modernization and globalization. This article argues that Sufi orders may survive in the internet of things era, contrary to preceding discourses. Based on ethnography research, both online and offline, the authors found out that the vitality of the Sufi order can adapt, develop, and innovate using online media. TQN's use of online media through various platforms proves Sufi order’s adaptive efforts to the internet-based era. TQN’s online media provide informations on Islamic  and Sufism teachings, news, schedule of activities, and fundraising. Even though TQN members’ being active in cyber-Islamic environments, they resist online asceticism thus leverage the vertical-personal obedience, conservative authorities, and sacred rituals. These practices done by TQN members illuminate its identity as an authentic online sufism. Premises shown in this paper may enrich the scope of study within the relationship of Sufi orders and Islamic-cyber environment, especially in Indonesian context.

scholarly journals Role and Importance of IoT in the Smart City and E-Governance

2017 ◽  
Author(s):  
MUHAMMAD SAQIB ◽  
Nadia Al-Muqrashi
Keyword(s):  
Internet Of Things ◽  
Smart City ◽  
Service Providers ◽  
Smart Cities ◽  
The Internet ◽  
Smart Cameras ◽  
The Government ◽  
Relationship Of ◽  
The Relationship ◽  
The Internet Of Things

In the recent years, developments growth have been rising in utilizing of recent technologies; Smart cities have been furnished with various electronic devices concentrated on the Internet of Things (IoT) to be more smarter than before. The Internet of Things is empowered by various emerging technologies such as smart cameras, sensors, wireless communication devices etc. Smart cities are huge systems connected with countless sub-systems, and these systems are depending on the electricity to move the human, things, and data to share information. Without electric power and Internet of Things, the smart city cannot be achieved and services cannot be provided. This paper aims to provide a comprehensive concept of IoT, the smart city as well as the relationship of Smart Cities to IoT. Moreover, an extensive review of the relationship of IoT to the smart city discussed with few instances of services provided by the government using IoT technologies for the citizens. Therefore the objects and applications which come under the IoT technology that can be used to meet the objective of having a smart city. In this paper, a thorough literature on the concept of IoT with Smart City and a brief comparison of it in terms of services, challenges, and issues are discussed. Also the discussion on the issues faced by service providers with regards to technologies used to equip the citizens with up to date services.

Description and classification for facilitating interoperability of heterogeneous data/events/services in the Internet of Things

2017 ◽  
Vol 256 ◽  
pp. 13-22 ◽  
Author(s):  
Hyung-Jun Yim ◽  
Dongmin Seo ◽  
Hanmin Jung ◽  
Moon-Ki Back ◽  
InA Kim ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Heterogeneous Data ◽  
The Internet ◽  
The Internet Of Things

scholarly journals Crop Management with the IoT: An Interdisciplinary Survey

Agronomy ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 181 ◽  
Author(s):  
Giuliano Vitali ◽  
Matteo Francia ◽  
Matteo Golfarelli ◽  
Maurizio Canavari
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Crop Management ◽  
Cropping System ◽  
Heterogeneous Data ◽  
Machine Learning Techniques ◽  
The Internet ◽  
Crop Fields ◽  
Learning Techniques ◽  
The Internet Of Things

In this study, we analyze how crop management will benefit from the Internet of Things (IoT) by providing an overview of its architecture and components from agronomic and technological perspectives. The present analysis highlights that IoT is a mature enabling technology with articulated hardware and software components. Cheap networked devices can sense crop fields at a finer grain to give timeliness warnings on the presence of stress conditions and diseases to a wider range of farmers. Cloud computing allows reliable storage, access to heterogeneous data, and machine-learning techniques for developing and deploying farm services. From this study, it emerges that the Internet of Things will draw attention to sensor quality and placement protocols, while machine learning should be oriented to produce understandable knowledge, which is also useful to enhance cropping system simulation systems.

scholarly journals Cloud Trust-Driven Hierarchical Sharing Method of Internet of Things Information Resources

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Jianpeng Zhang
Keyword(s):  
Internet Of Things ◽  
Radio Frequency Identification ◽  
Resource Sharing ◽  
Detection Algorithm ◽  
Heterogeneous Data ◽  
Information Resource ◽  
The Internet ◽  
Security Model ◽  
Internet Information ◽  
The Internet Of Things

Short information sharing time is one of the problems to be solved in the traditional Internet. Therefore, this paper proposes a hierarchical simulation of the Internet of Things sharing structure framework that trusts the cloud to drive Internet information resource sharing. By setting thresholds and iterative adjustment parameters, a complementary judgment matrix is constructed to obtain the minimum nonnegative deviation value and the optimal weight vector. This paper sorts according to the value of the Internet information security model, obtains the optimal model to avoid human tampering, and designs the information resource acquisition process to ensure the reliability of the source data. We use radio frequency identification (RFID) equipment in the preprocessing of massive heterogeneous data in the Internet of Things. In a network environment where resources are limited and heterogeneous are fully considered, the trust-based adaptive detection algorithm is used to evaluate the credibility of the trust-driven algorithm for hierarchical information resource sharing services in the cloud environment of the Internet of Things. We propose a cloud trust-driven hierarchical information resource sharing Internet information resource model. Firstly, the key characteristics of hierarchical information resource sharing are analyzed. Then, a hierarchical information resource sharing model was established by using specific constraints, trust steepness function, cloud trust evaluation criteria, and trust constraint coefficient. Finally, an example of IoT system is designed to verify the effectiveness of the model. Experimental results show that, compared with the traditional model or algorithm, this model has a good hierarchical sharing effect of the underlying resource information.

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