A Survey on IoT (Internet of Things) Emerging Technologies and Its Application

2018 ◽  
Vol 7 (2) ◽  
pp. 1-20 ◽  
Author(s):  
Rajit Nair ◽  
Preeti Sharma ◽  
Amit Bhagat ◽  
Vidya Kant Dwivedi
Keyword(s):  
Internet Of Things ◽  
Communication Technology ◽  
Mobile Technology ◽  
New Technologies ◽  
Physical World ◽  
Important Application ◽  
Smart Sensors ◽  
Technological Innovations ◽  
Internet Protocols ◽  
Near Future

In this article. the authors present a review on the IoT (Internet of Things) and its future scope in various areas. The IoT is one of the latest systems which provide a set of new services for upcoming technological innovations. It is said to be integration of cyber world with the physical world and empowered by the development of RFID, smart sensors, communication technology and internet protocols. The most important application of IoT is to deliver a class of application directly through smart sensors. Exponential development in mobile technology and machine to machine technologies has been done through the IoT only. In the near future, the IoT will be solely responsible for smart decision making and this will be implemented by incorporating new technologies with smart physical objects. Despite all these advancements by researchers, standardization bodies, industries, alliances and others there are still some problems while using IoT.

scholarly journals Detecting Sensor Faults, Anomalies and Outliers in the Internet of Things: A Survey on the Challenges and Solutions

Electronics ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 511 ◽  
Author(s):  
Anuroop Gaddam ◽  
Tim Wilkin ◽  
Maia Angelova ◽  
Jyotheesh Gaddam
Keyword(s):  
Internet Of Things ◽  
Outlier Detection ◽  
Physical World ◽  
Wireless Sensor ◽  
Smart Sensors ◽  
The Internet ◽  
Sensor Faults ◽  
Detection Model ◽  
Near Future ◽  
The Internet Of Things

The Internet of Things (IoT) has gained significant recognition to become a novel sensing paradigm to interact with the physical world in this Industry 4.0 era. The IoTs are being used in many diverse applications that are part of our life and is growing to become the global digital nervous systems. It is quite evident that in the near future, hundreds of millions of individuals and businesses with billions will have smart-sensors and advanced communication technology, and these things will expand the boundaries of current systems. This will result in a potential change in the way we work, learn, innovate, live and entertain. The heterogeneous smart sensors within the Internet of Things are indispensable parts, which capture the raw data from the physical world by being the first port of contact. Often the sensors within the IoT are deployed or installed in harsh environments. This inevitably means that the sensors are prone to failure, malfunction, rapid attrition, malicious attacks, theft and tampering. All of these conditions cause the sensors within the IoT to produce unusual and erroneous readings, often known as outliers. Much of the current research has been done in developing the sensor outlier and fault detection models exclusively for the Wireless Sensor Networks (WSN), and adequate research has not been done so far in the context of the IoT. Wireless sensor network’s operational framework differ greatly when compared to IoT’s operational framework, using some of the existing models developed for WSN cannot be used on IoT’s for detecting outliers and faults. Sensor faults and outlier detection is very crucial in the IoT to detect the high probability of erroneous reading or data corruption, thereby ensuring the quality of the data collected by sensors. The data collected by sensors are initially pre-processed to be transformed into information and when Artificially Intelligent (AI), Machine Learning (ML) models are further used by the IoT, the information is further processed into applications and processes. Any faulty, erroneous, corrupted sensor readings corrupt the trained models, which thereby produces abnormal processes or outliers that are significantly distinct from the normal behavioural processes of a system. In this paper, we present a comprehensive review of the detecting sensor faults, anomalies, outliers in the Internet of Things and the challenges. A comprehensive guideline to select an adequate outlier detection model for the sensors in the IoT context for various applications is discussed.

A probable effect of the development of internet technology on insurance & banking sectors, decision processes and service structures

2020 ◽  
Vol 1 (1) ◽  
pp. 36-41
Author(s):  
Ali Osman Serdar Citak
Keyword(s):  
Internet Of Things ◽  
Decision Processes ◽  
Internet Technology ◽  
Smart Sensors ◽  
The Internet ◽  
Future Expectations ◽  
History Of ◽  
Probable Effect ◽  
Near Future ◽  
The Internet Of Things

The history of the development of the Internet of Things (IoT) covers the last twenty years. Despite the short of time, the concept and implementation of the Internet of Things have widely spread all over the world. The impetus of the dissemination of the concept has exponential speed. In the near future, billions of smart sensors and devices will interact with one another without human intervention. The early impact of the Internet of Things has been observed and discussed in the areas of technology, transportation, production, and marketing. The prospective effect of the Internet of Things on the finance sector has been discussed recently. In this study, the development of the concept of the Internet of Things and it is effect on the finance sector and specifically the insurance and banking sectors and future expectations have been evaluated.

Circular, Smart, and Connected Cities

2019 ◽  
pp. 19-32
Author(s):  
Begum Sertyesilisik
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Information And Communication Technology ◽  
Communication Technology ◽  
Circular Economy ◽  
New Technologies ◽  
Smart Cities ◽  
Recovery Processes ◽  
Building Information ◽  
Information And Communication

Majority of the humanity is living in the cities. Cities have adverse environmental impact. Their environmental footprints need to be reduced. As the world's living conditions deteriorate, the survival of the humanity depends on the precautions taken. These precautions can include sustainable living styles, new technologies, and circular economy principles. Furthermore, climate change caused disasters can have adverse consequences as they can be deadly and as they can result in economic loss. The cities need to be resilient so that disasters adverse consequences can be reduced and the post-disaster phase rescue and recovery processes can be effectively carried out. Circular, smart and connected cities based on the new technologies such as big data, Information and Communication Technology (ICT), and Internet of Things (IoT) can contribute to the cities' sustainability and resilience performance. This chapter aims to investigate the roles of big data, IoT, ICT, as well as circular, connected and smart cities in enhancing sustainability and resilience of the cities. With this aim, based on the literature review, this chapter covers: need for, pillars of and aspects of smart, sustainable, circular, and resilient cities as well as ways for transforming the cities into smart, sustainable, circular, and resilient ones. This chapter can be beneficial to the researchers, academics, construction professionals, and policy makers.Keywords: Disaster; Internet of Things; Information and Communication Technology; Smart Cities; Big Data; Resilience; Building Information Modelling; Circular Cities; Circular Economy

The Role of Industry-Academia Collaborative Research in Mineral Exploration

2020 ◽  
Author(s):  
James Marlatt
Keyword(s):  
Collaborative Research ◽  
New Technologies ◽  
Mineral Exploration ◽  
Board Members ◽  
Technological Innovations ◽  
Development Programs ◽  
The University ◽  
Insight Into ◽  
Economic Mineral

ABSTRACT Many people may not be aware of the extent of Kurt Kyser's collaboration with mineral exploration companies through applied research and the development of innovative exploration technologies, starting at the University of Saskatchewan and continuing through the Queen's Facility for Isotope Research. Applied collaborative, geoscientific, industry-academia research and development programs can yield technological innovations that can improve the mineral exploration discovery rates of economic mineral deposits. Alliances between exploration geoscientists and geoscientific researchers can benefit both parties, contributing to the pure and applied geoscientific knowledge base and the development of innovations in mineral exploration technology. Through a collaboration that spanned over three decades, we gained insight into the potential for economic uranium deposits around the world in Canada, Australia, USA, Finland, Russia, Gabon, Namibia, Botswana, South Africa, and Guyana. Kurt, his research team, postdoctoral fellows, and students developed technological innovations related to holistic basin analysis for economic mineral potential, isotopes in mineral exploration, and biogeochemical exploration, among others. In this paper, the business of mineral exploration is briefly described, and some examples of industry-academic collaboration innovations brought forward through Kurt's research are identified. Kurt was a masterful and capable knowledge broker, which is a key criterion for bringing new technologies to application—a grand, curious, credible, patient, and attentive communicator—whether talking about science, business, or life and with first ministers, senior technocrats, peers, board members, first nation peoples, exploration geologists, investors, students, citizens, or friends.

IoT system of news by image for internal enterprise communication

2018 ◽  
Vol 1 (2) ◽  
pp. 12
Author(s):  
Pedro Vitor de Sousa Guimarães ◽  
Sandro César Silveira Jucá ◽  
Renata Imaculada Soares Pereira ◽  
Ayrton Alexsander Monteiro Monteiro
Keyword(s):  
Internet Of Things ◽  
Embedded System ◽  
Mobile Devices ◽  
Information And Communication Technology ◽  
Communication Technology ◽  
Internal Communication ◽  
Project Based Learning ◽  
The Internet ◽  
Digital Information ◽  
Information And Communication

This paper describes the use of a Linux embedded system for use in digital information and communication technology in order to generate image warnings using Internet of Things (IoT) prin- ciples. The proposed project generated a product, developed using concepts of project-based learning (ABP), called SECI (electronic internal communication system) that is accessed by students to view online warnings by distributed monitors and also by mobile devices connected to the Internet.

scholarly journals Nurses and the acceptance of innovations in technology-intensive contexts: the need for tailored management strategies

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Chiara Barchielli ◽  
Cristina Marullo ◽  
Manila Bonciani ◽  
Milena Vainieri
Keyword(s):  
Social Influence ◽  
Ad Hoc ◽  
New Technologies ◽  
Management Strategies ◽  
Technological Innovations ◽  
Utaut Model ◽  
Use Of Technology ◽  
The Social ◽  
Depth Analysis ◽  
Facilitating Conditions

Abstract Background Several technological innovations have been introduced in healthcare over the years, and their implementation proved crucial in addressing challenges of modern health. Healthcare workers have frequently been called upon to become familiar with technological innovations that pervade every aspect of their profession, changing their working schedule, habits, and daily actions. Purpose An in-depth analysis of the paths towards the acceptance and use of technology may facilitate the crafting and adoption of specific personnel policies taking into consideration definite levers, which appear to be different in relation to the age of nurses. Approach The strength of this study is the application of UTAUT model to analyse the acceptance of innovations by nurses in technology-intensive healthcare contexts. Multidimensional Item Response Theory is applied to identify the main dimensions characterizing the UTAUT model. Paths are tested through two stage regression models and validated using a SEM covariance analysis. Results The age is a moderator for the social influence: social influence, or peer opinion, matters more for young nurse. Conclusion The use of MIRT to identify the most important items for each construct of UTAUT model and an in-depth path analysis helps to identify which factors should be considered a leverage to foster nurses’ acceptance and intention to use new technologies (o technology-intensive devices). Practical implications Young nurses may benefit from the structuring of shifts with the most passionate colleagues (thus exploiting the social influence), the participation in ad hoc training courses (thus exploiting the facilitating conditions), while other nurses could benefit from policies that rely on the stressing of the perception of their expectations or the downsizing of their expectancy of the effort in using new technologies.

scholarly journals A Review of Human–Computer Interaction and Virtual Reality Research Fields in Cognitive InfoCommunications

2021 ◽  
Vol 11 (6) ◽  
pp. 2646
Author(s):  
Jozsef Katona
Keyword(s):  
Information And Communication Technology ◽  
Communication Technology ◽  
Cognitive Processes ◽  
Research Trends ◽  
Technological Innovations ◽  
Important Research ◽  
Cognitive Sciences ◽  
Digital Devices ◽  
Research Fields ◽  
Information And Communication

Cognitive infocommunications (CogInfoCom) is a young and evolving discipline that is at the crossroads of information and communication technology (ICT) and cognitive sciences with many promising results. The goal of the field is to provide insights into how human cognitive capabilities can be merged and extended with the cognitive capabilities of the digital devices surrounding us, with the goal of enabling more seamless interactions between humans and artificially cognitive agents. Results in the field have already led to the appearance of numerous CogInfoCom-based technological innovations. For example, the field has led to a better understanding of how humans can learn more effectively, and the development of new kinds of learning environment have followed accordingly. The goal of this paper is to summarize some of the most recent results in CogInfoCom and to introduce important research trends, developments and innovations that play a key role in understanding and supporting the merging of cognitive processes with ICT.

RELATIONSHIP IN IOT AND BIG DATA ANALYTICS: THE OPPORTUNITIES AND OPEN CHALLENGES

2021 ◽  
Vol 83 (4) ◽  
pp. 100-111
Author(s):  
Ahmad Anwar Zainuddin ◽  
Keyword(s):  
Big Data ◽  
Internet Of Things ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Physical World ◽  
Future Directions ◽  
Wide Range ◽  
Time Utilization ◽  
Relationship Of ◽  
The Internet Of Things

Internet of Things (IoT) is an up-and-coming technology that has a wide variety of applications. It empowers physical objects to be organized in a specialized framework to grow its convenience in terms of ease and time utilization. It is to convert the thought of bridging the crevice between the physical world and the machine world. It is also being use in the wide range of the technology in this current situation. One of its applications is to monitor and store data over time from numerous devices allows for easy analysis of the dataset. This analysis can then be the basis of decisions made on the same. In this study, the concept, architecture, and relationship of IoT and Big Data are described. Next, several use cases in IoT and big data in the research methodology are studied. The opportunities and open challenges which including the future directions are described. Furthermore, by proposing a new architecture for big data analytics in the Internet of Things, this paper adds value. Overall, the various types of big IoT data analytics, their methods, and associated big data mining technologies are discussed.

scholarly journals TTEthernet Transmission in Software-Defined Distributed Robot Intelligent Control System

2018 ◽  
Vol 2018 ◽  
pp. 1-13 ◽  
Author(s):  
Caibing Liu ◽  
Fang Li ◽  
Guohao Chen ◽  
Xin Huang
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Performance Test ◽  
New Technologies ◽  
Simulation Software ◽  
Utilization Rate ◽  
Intelligent Control System ◽  
Time Performance ◽  
Industrial Iot ◽  
Smart Technologies

With the integration of new technologies such as smart technologies and cloud computing in the industrial Internet of Things, the complexity of industrial IoT applications is increasing. Real-time performance and determinism are becoming serious challenges for system implementation in these Internet of Things systems, especially in critical security areas. This paper provides a framework for a software-defined bus-based intelligent robot system and designs scheduling algorithms to make TTEthernet play the role of scheduling in the framework. Through the framework, the non-real-time and uncertainties problem of distributed robotic systems can be solved. Moreover, a fragment strategy was proposed to solve the problem of large delay caused by Rate-Constrained traffic. Experimental results indicate that the improved scheme based on fragmentation strategy proposed in this paper can improve the real-time performance of RC traffic to a certain extent. Besides, this paper made a performance test and comparison experiments of the improved scheme in the simulation software to verify the feasibility of the improved scheme. The result showed that the delay of Rate-Constrained traffic was reduced and the utilization rate of network was improved.

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