2,982 research outputs found
Guest Editorial: Design and Analysis of Communication Interfaces for Industry 4.0
This special issue (SI) aims to present recent advances in the design and analysis of communication interfaces for Industry 4.0. The Industry 4.0 paradigm aims to integrate advanced manufacturing techniques with Industrial Internet-of-Things (IIoT) to create an agile digital manufacturing ecosystem. The main goal is to instrument production processes by embedding sensors, actuators and other control devices which autonomously communicate with each other throughout the value-chain [1]
Introduction to the Special Section on Emerging Technologies for Connected Vehicles and ITS Networks
Milestones in Autonomous Driving and Intelligent Vehicles Part \uppercase\expandafter{\romannumeral1}: Control, Computing System Design, Communication, HD Map, Testing, and Human Behaviors
Interest in autonomous driving (AD) and intelligent vehicles (IVs) is growing
at a rapid pace due to the convenience, safety, and economic benefits. Although
a number of surveys have reviewed research achievements in this field, they are
still limited in specific tasks and lack systematic summaries and research
directions in the future. Our work is divided into 3 independent articles and
the first part is a Survey of Surveys (SoS) for total technologies of AD and
IVs that involves the history, summarizes the milestones, and provides the
perspectives, ethics, and future research directions. This is the second part
(Part \uppercase\expandafter{\romannumeral1} for this technical survey) to
review the development of control, computing system design, communication, High
Definition map (HD map), testing, and human behaviors in IVs. In addition, the
third part (Part \uppercase\expandafter{\romannumeral2} for this technical
survey) is to review the perception and planning sections. The objective of
this paper is to involve all the sections of AD, summarize the latest technical
milestones, and guide abecedarians to quickly understand the development of AD
and IVs. Combining the SoS and Part \uppercase\expandafter{\romannumeral2}, we
anticipate that this work will bring novel and diverse insights to researchers
and abecedarians, and serve as a bridge between past and future.Comment: 18 pages, 4 figures, 3 table
Guest Editorial Special Issue on: Big Data Analytics in Intelligent Systems
The amount of information that is being created, every day, is quickly growing. As such, it is now more common than ever to deal with extremely large datasets. As systems develop and become more intelligent and adaptive, analysing their behaviour is a challenge. The heterogeneity, volume and speed of data generation are increasing rapidly. This is further exacerbated by the use of wireless networks, sensors, smartphones and the Internet. Such systems are capable of generating a phenomenal amount of information and the need to analyse their behaviour, to detect security anomalies or predict future demands for example, is becoming harder. Furthermore, securing such systems is a challenge. As threats evolve, so should security measures develop and adopt increasingly intelligent security techniques. Adaptive systems must be employed and existing methods built upon to provide well-structured defence in depth. Despite the clear need to develop effective protection methods, the task is a difficult one, as there are significant weaknesses in the existing security currently in place. Consequently, this special issue of the Journal of Computer Sciences and Applications discusses big data analytics in intelligent systems. The specific topics of discussion include the Internet of Things, Web Services, Cloud Computing, Security and Interconnected Systems
Integrating Internet of Things and EHealth Solutions for Students’ Healthcare
Apple Incorporated’s recent announcement of its
entry device – The Apple Watch™ to the wearable’s market can
arguably be said to put a final seal of authenticity on
wearables. The inevitable ubiquity of wearable devices for
eHealth monitoring is a fact soon to be reckoned with. Access
to the physiological information provided by the wearables
through the ‘6A Connectivity Concept’ of IoT will find positive
applications in various fields, most especially in the eHealth
and mobile-Health domain.
The state of health of a student is key in determining the
student’s overall academic performance. Health-related issues
usually affect the motivation and ability of students to learn.
Therefore it is necessary to provide better health services for
students in their various schools and institutions. This paper is
a study of the integration of Internet of Things (IoT) and
eHealth solutions to effectively manage and monitor university
students’ health. One of IoT’s main technologies in healthcare
is Radio Frequency IDentification (RFID) technology. In this
study, we show how RFID technology is used to implement an
eHealth solution known as Electronic Medical Records (EMR)
for managing students’ health information (which includes
students’ medical history, prescriptions, laboratory results,
Electrocardiography (ECG) results, blood pressure results,
and vital signs). This paper also studies wearable devices for
monitoring students that are at risk for high blood pressure,
which can be due to intense stress, overweight conditions, and
family history of high blood pressure
Integrating Internet of Things and EHealth Solutions for Students’ Healthcare
Apple Incorporated’s recent announcement of its
entry device – The Apple Watch™ to the wearable’s market can
arguably be said to put a final seal of authenticity on
wearables. The inevitable ubiquity of wearable devices for
eHealth monitoring is a fact soon to be reckoned with. Access
to the physiological information provided by the wearables
through the ‘6A Connectivity Concept’ of IoT will find positive
applications in various fields, most especially in the eHealth
and mobile-Health domain.
The state of health of a student is key in determining the
student’s overall academic performance. Health-related issues
usually affect the motivation and ability of students to learn.
Therefore it is necessary to provide better health services for
students in their various schools and institutions. This paper is
a study of the integration of Internet of Things (IoT) and
eHealth solutions to effectively manage and monitor university
students’ health. One of IoT’s main technologies in healthcare
is Radio Frequency IDentification (RFID) technology. In this
study, we show how RFID technology is used to implement an
eHealth solution known as Electronic Medical Records (EMR)
for managing students’ health information (which includes
students’ medical history, prescriptions, laboratory results,
Electrocardiography (ECG) results, blood pressure results,
and vital signs). This paper also studies wearable devices for
monitoring students that are at risk for high blood pressure,
which can be due to intense stress, overweight conditions, and
family history of high blood pressure
Industrial Internet of Things based Collaborative Sensing Intelligence: Framework and Research Challenges
The development of an efficient and cost-effective solution to solve a complex problem (e.g., dynamic detection of toxic gases) is an important research issue in the industrial applications of Internet of Things (IoT). An industrial intelligent ecosystem enables the collection of massive data from the various devices (e.g., sensor-embedded wireless devices) dynamically collaborating with humans. Effectively collaborative analytics based on the collected massive data from humans and devices is quite essential to improve the efficiency of industrial production/service. In this study, we propose a Collaborative Sensing Intelligence (CSI) framework, combining collaborative intelligence and industrial sensing intelligence. The proposed CSI facilitates the cooperativity of analytics with integrating massive spatio-temporal data from different sources and time points. To deploy the CSI for achieving intelligent and efficient industrial production/service, the key challenges and open issues are discussed as well
Development in building fire detection and evacuation system-a comprehensive review
Fire is both beneficial to man and his environment as well as destructive and deadly among all the natural disasters. A fire Accident occurs very rarely, but once it crops up its consequences will be devastating. The early detection of fire will help to avoid further consequences and saves the life of people. During the fire accidents, it is also important to guide people within the building to exit safely. Because of this, the paper gives a review of literature related to recent advancements in building fire detection and emergency evacuation system. It is intended to provide details about fire simulation tools with features, suitable hardware, communication methods, and effective user interface
Software Defined Networks based Smart Grid Communication: A Comprehensive Survey
The current power grid is no longer a feasible solution due to
ever-increasing user demand of electricity, old infrastructure, and reliability
issues and thus require transformation to a better grid a.k.a., smart grid
(SG). The key features that distinguish SG from the conventional electrical
power grid are its capability to perform two-way communication, demand side
management, and real time pricing. Despite all these advantages that SG will
bring, there are certain issues which are specific to SG communication system.
For instance, network management of current SG systems is complex, time
consuming, and done manually. Moreover, SG communication (SGC) system is built
on different vendor specific devices and protocols. Therefore, the current SG
systems are not protocol independent, thus leading to interoperability issue.
Software defined network (SDN) has been proposed to monitor and manage the
communication networks globally. This article serves as a comprehensive survey
on SDN-based SGC. In this article, we first discuss taxonomy of advantages of
SDNbased SGC.We then discuss SDN-based SGC architectures, along with case
studies. Our article provides an in-depth discussion on routing schemes for
SDN-based SGC. We also provide detailed survey of security and privacy schemes
applied to SDN-based SGC. We furthermore present challenges, open issues, and
future research directions related to SDN-based SGC.Comment: Accepte
Smart Communities: From Sensors to Internet of Things and to a Marketplace of Services
Our paper was inspired by the recent Society 5.0 initiative of the Japanese Government that seeks to create a sustainable human-centric society by putting to work recent advances in technology: sensor networks, edge computing, IoT ecosystems, AI, Big Data, robotics, to name just a few. The main contribution of this work is a vision of how these technological advances can contribute, directly or indirectly, to making Society 5.0 reality. For this purpose we build on a recently-proposed concept of Marketplace of Services that, in our view, will turn out to be one of the cornerstones of Society 5.0. Instead of referring to Society 5.0 directly, throughout the paper we shall define a generic Smart Community that implements a subset of the goals of Society 5.0. We show how digital technology in conjunction with the Marketplace of services can contribute to enabling and promoting sustainable Smart Communities. Very much like Society 5.0, our Smart Community can provide a large number of di verse and evolving human-centric services offered as utilities and sold on a metered basis. The services offered by the Smart Community can be synthesized, using the latest technology (e.g. 3D printing, robotics, Big Data analytics, AI, etc.), from a hierarchy of raw resources or other services. The residents of the Smart Community can purchase as much or as little of these services as they find suitable to their needs and are billed according to a pay-as-you-go business model
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