scholarly journals Internet of Things in E-Government

2020 ◽  
Vol 10 (2) ◽  
pp. 99-118
Author(s):  
Panagiota Papadopoulou ◽  
Kostas Kolomvatsos ◽  
Stathes Hadjiefthymiades
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Early Stage ◽  
Holistic Approach ◽  
Smart Devices ◽  
Full Potential ◽  
Time Data ◽  
Legal Nature ◽  
Real Time Data ◽  
The Creation

E-government can greatly benefit by the use of IoT, enabling the creation of new innovative services or the transformation and enhancement of current ones, which are informed by smart devices and real-time data. The adoption of IoT in e-government encompasses several challenges of technical as well as organizational, political and legal nature which should be addressed for developing efficient government-to-citizen and government-to-society applications. This article examines IoT adoption in e-government in a holistic approach. It provides an overview of the IoT potential in e-government across several application domains, highlighting the specific issues that seek attention in each of them. The article also investigates the challenges that should be considered and managed for IoT in e-government to reach its full potential. With the application of IoT in e-government being at an early stage, the article contributes to the theoretical and practical understanding of how IoT can be leveraged for e-government purposes.

Enhancing E-Government With Internet of Things

2019 ◽  
pp. 110-129
Author(s):  
Panagiota Papadopoulou ◽  
Kostas Kolomvatsos ◽  
Stathes Hadjiefthymiades
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Public Services ◽  
Early Stage ◽  
Smart Devices ◽  
Full Potential ◽  
Time Data ◽  
Legal Nature ◽  
Real Time Data

Internet of things (IoT) brings unprecedented changes to all contexts of our lives, as they can be informed by smart devices and real-time data. Among the various IoT application settings, e-government seems to be one that can be greatly benefited by the use of IoT, transforming and augmenting public services. This chapter aims to contribute to a better understanding of how IoT can be leveraged to enhance e-government. IoT adoption in e-government encompasses several challenges of technical as well as organizational, political, and legal nature, which should be addressed for developing efficient applications. With the application of IoT in e-government being at an early stage, it is imperative to investigate these challenges and the ways they could be tackled. The chapter provides an overview of IoT in e-government across several application domains and explores the aspects that should be considered and managed before it can reach its full potential.

scholarly journals Ronda: Real-Time Data Provision, Processing and Publication for Open Data

2021 ◽  
pp. 165-177
Author(s):  
Fabian Kirstein ◽  
Dario Bacher ◽  
Vincent Bohlen ◽  
Sonja Schimmler
Keyword(s):  
Real Time ◽  
Public Transportation ◽  
Open Data ◽  
Heterogeneous Data ◽  
Smart Devices ◽  
Full Potential ◽  
Time Data ◽  
Public And Private ◽  
Real Time Data ◽  
The Government

AbstractThe provision and dissemination of Open Data is a flourishing concept, which is highly recognized and established in the government and public administrations domains. Typically, the actual data is served as static file downloads, such as CSV or PDF, and the established software solutions for Open Data are mostly designed to manage this kind of data. However, the rising popularity of the Internet of things and smart devices in the public and private domain leads to an increase of available real-time data, like public transportation schedules, weather forecasts, or power grid data. Such timely and extensive data cannot be used to its full potential when published in a static, file-based fashion. Therefore, we designed and developed Ronda - an open source platform for gathering, processing and publishing real-time Open Data based on industry-proven and established big data and data processing tools. Our solution easily enables Open Data publishers to provide real-time interfaces for heterogeneous data sources, fostering more sophisticated and advanced Open Data use cases. We have evaluated our work through a practical application in a production environment.

Improving latency in Internet-of-Things and cloud computing for real-time data transmission: a systematic literature review (SLR)

2021 ◽  
Author(s):  
Saurabh Shukla ◽  
Mohd. Fadzil Hassan ◽  
Duc Chung Tran ◽  
Rehan Akbar ◽  
Irving Vitra Paputungan ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Literature Review ◽  
Real Time ◽  
Systematic Literature Review ◽  
Data Transmission ◽  
Time Data ◽  
Real Time Data

Lifting Operations with Wind Turbine Installation Jack-Ups Using Real-Time Data

2021 ◽  
Author(s):  
Kayo Vanderheggen ◽  
Joost Janssen ◽  
Nate Meredith
Keyword(s):  
Wind Turbine ◽  
Real Time ◽  
Support System ◽  
High Load ◽  
Full Potential ◽  
Catastrophic Failure ◽  
Time Data ◽  
Real Time Data ◽  
Jack Up ◽  
Turbine Installation

When a wind turbine installation jack-up performs a heavy lifting operation with the crane it affects the loads on the foundation. For these units the crane typically encircles a leg or is positioned close to it. Consequently, that leg attracts most of the loads due to crane operations. For each location jack-ups prove the capacity of the foundation by applying a controlled, high load at each of the footings before commencing operations. This process is known as preloading. The achieved preload at the jack-up’s foundation determines the operational limit. Exceedance of the preload value may result in foundation instability. Depending on the site’s foundation characteristics the consequences of such an exceedance range from negligible to catastrophic failure. GustoMSC has developed Operator Support System (OSS) software with the purpose to make the operator aware of the limitations imposed by the preloaded foundation. The application outlines operational limits based on real-time data from the jack-up, jacking system and crane which enables the operators to safely unlock the full potential of their wind turbine installation jack-up.

Trends and Technologies in Big Data Processing

2020 ◽  
pp. 17-42
Author(s):  
Amitava Choudhury ◽  
Kalpana Rangra
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Internet Of Things ◽  
Data Processing ◽  
Real Time ◽  
Computing Technology ◽  
Time Data ◽  
Big Data Processing ◽  
Real Time Data ◽  
Real Time Data Processing

Data type and amount in human society is growing at an amazing speed, which is caused by emerging new services such as cloud computing, internet of things, and location-based services. The era of big data has arrived. As data has been a fundamental resource, how to manage and utilize big data better has attracted much attention. Especially with the development of the internet of things, how to process a large amount of real-time data has become a great challenge in research and applications. Recently, cloud computing technology has attracted much attention to high performance, but how to use cloud computing technology for large-scale real-time data processing has not been studied. In this chapter, various big data processing techniques are discussed.

A Block Chain Approach for Privacy Preserving and Data Security in Internet of Things

2020 ◽  
Vol 17 (9) ◽  
pp. 3979-3982
Author(s):  
N. Harish Kumar ◽  
G. Deepak
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Data Security ◽  
Cloud Storage ◽  
Storage System ◽  
Information Storage ◽  
Entire System ◽  
Time Data ◽  
Real Time Data ◽  
Block Chain

Internet of Things has been increasing its usage and recognition in vast sectors like Defence, Business, Industries, and Hospitals. The data disruption is strictly unacceptable in a number of these sectors because it could end up in serious Loss or Damages to the entire system. As of now, IOT is using a central cloud storage system for information storage and transactions. However, some examples already verified that Central cloud storage information might be hacked and changed by the specialists. This paper presents an IoT system having localized block chain storage which works on real time data and manipulates with narrowness of data interruption and modification and its recovery.

scholarly journals Internet of Things based Customer Relationship Management – A Research Perspective

2018 ◽  
Vol 7 (2.7) ◽  
pp. 444 ◽  
Author(s):  
Samir Yerpude ◽  
Dr Tarun Kumar Singhal
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Customer Relationship Management ◽  
Relationship Management ◽  
Mobile Internet ◽  
Customer Relationship ◽  
Time Data ◽  
Crm System ◽  
Real Time Data ◽  
The Impact

Objectives: To study the impact of Internet of things (IoT) on the Customer Relationship Management process and evaluate the benefits in terms of customer satisfaction and customer retention. Methods: An extensive literature review was conducting wherein the constructs of CRM and IoT are studied. Various preliminary information on IoT and CRM system along with the components of Digital enablers have been evaluated. References from research papers, journals, Internet sites, statistical data sites and books were used to collate the relevant content on the subject. The study of all the relevant scenarios where there is a possible impact of IoT origin real time data on CRM was undertaken. Findings: Customer demands are continuously evolving and it is very relevant for all the organizations to align and keep pace with the change. Organizations need to be customer centric and agile to the changing market scenarios. Evaluation of the trends in mobile internet vs desktop internet was also conducted to validate the findings. Application: The usage of real time data emerging out of the IoT landscape has become a reality with the data transmitted over the Internet and consumed by the CRM system. It improves the control on the customer relationship function helping the organizations to operate within healthy and sustained profit  

scholarly journals A Framework for Real Time Processing of Sensor Data in the Cloud

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Supun Kamburugamuve ◽  
Leif Christiansen ◽  
Geoffrey Fox
Keyword(s):  
Data Processing ◽  
Real Time ◽  
Cloud Services ◽  
Sensor Data ◽  
Smart Devices ◽  
Time Data ◽  
Real Time Processing ◽  
Real Time Data ◽  
Autonomous Robot Navigation ◽  
Real Time Data Processing

We describe IoTCloud, a platform to connect smart devices to cloud services for real time data processing and control. A device connected to IoTCloud can communicate with real time data analysis frameworks deployed in the cloud via messaging. The platform design is scalable in connecting devices as well as transferring and processing data. With IoTCloud, a user can develop real time data processing algorithms in an abstract framework without concern for the underlying details of how the data is distributed and transferred. For this platform, we primarily consider real time robotics applications such as autonomous robot navigation, where there are strict requirements on processing latency and demand for scalable processing. To demonstrate the effectiveness of the system, a robotic application is developed on top of the framework. The system and the robotics application characteristics are measured to show that data processing in central servers is feasible for real time sensor applications.

scholarly journals Design of smart agriculture based on big data and Internet of things

2020 ◽  
Vol 16 (5) ◽  
pp. 155014772091706 ◽  
Author(s):  
Chunling Li ◽  
Ben Niu
Keyword(s):  
Data Mining ◽  
Information Processing ◽  
Internet Of Things ◽  
Real Time ◽  
Data Communication ◽  
Large Data ◽  
Time Data ◽  
Real Time Data ◽  
Smart Agriculture ◽  
Internet Of Things Technology

With the wide application of Internet of things technology and era of large data in agriculture, smart agricultural design based on Internet of things technology can efficiently realize the function of real-time data communication and information processing and improve the development of smart agriculture. In the process of analyzing and processing a large amount of planting and environmental data, how to extract effective information from these massive agricultural data, that is, how to analyze and mine the needs of these large amounts of data, is a pressing problem to be solved. According to the needs of agricultural owners, this article studies and optimizes the data storage, data processing, and data mining of large data generated in the agricultural production process, and it uses the k-means algorithm based on the maximum distance to study the data mining. The crop growth curve is simulated and compared with improved K-means algorithm and the original k-means algorithm in the experimental analysis. The experimental results show that the improved K-means clustering method has an average reduction of 0.23 s in total time and an average increase of 7.67% in the F metric value. The algorithm in this article can realize the functions of real-time data communication and information processing more efficiently, and has a significant role in promoting agricultural informatization and improving the level of agricultural modernization.

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