Conferences related to Smart Highways

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2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.


2020 IEEE Power & Energy Society General Meeting (PESGM)

The Annual IEEE PES General Meeting will bring together over 2900 attendees for technical sessions, administrative sessions, super sessions, poster sessions, student programs, awards ceremonies, committee meetings, tutorials and more


2020 IEEE/PES Transmission and Distribution Conference and Exposition (T&D)

Bi-Annual IEEE PES T&D conference. Largest T&D conference in North America.


Oceans 2020 MTS/IEEE GULF COAST

To promote awareness, understanding, advancement and application of ocean engineering and marine technology. This includes all aspects of science, engineering, and technology that address research, development, and operations pertaining to all bodies of water. This includes the creation of new capabilities and technologies from concept design through prototypes, testing, and operational systems to sense, explore, understand, develop, use, and responsibly manage natural resources.

  • OCEANS 2018 MTS/IEEE Charleston

    Ocean, coastal, and atmospheric science and technology advances and applications

  • OCEANS 2017 - Anchorage

    Papers on ocean technology, exhibits from ocean equipment and service suppliers, student posters and student poster competition, tutorials on ocean technology, workshops and town meetings on policy and governmental process.

  • OCEANS 2016

    The Marine Technology Scociety and the Oceanic Engineering Society of the IEEE cosponor a joint annual conference and exposition on ocean science, engineering, and policy. The OCEANS conference covers four days. One day for tutorials and three for approx. 500 technical papers and 150 -200 exhibits.

  • OCEANS 2015

    The Marine Technology Scociety and the Oceanic Engineering Society of the IEEE cosponor a joint annual conference and exposition on ocean science, engineering, and policy. The OCEANS conference covers four days. One day for tutorials and three for approx. 450 technical papers and 150-200 exhibits.

  • OCEANS 2014

    The OCEANS conference covers four days. One day for tutorials and three for approx. 450 technical papers and 150-200 exhibits.

  • OCEANS 2013

    Three days of 8-10 tracks of technical sessions (400-450 papers) and concurent exhibition (150-250 exhibitors)

  • OCEANS 2012

    Ocean related technology. Tutorials and three days of technical sessions and exhibits. 8-12 parallel technical tracks.

  • OCEANS 2011

    The Marine Technology Society and the Oceanic Engineering Scociety of the IEEE cosponsor a joint annual conference and exposition on ocean science engineering, and policy.

  • OCEANS 2010

    The Marine Technology Society and the Oceanic Engineering Scociety of the IEEE cosponsor a joint annual conference and exposition on ocean science engineering, and policy.

  • OCEANS 2009

  • OCEANS 2008

    The Marine Technology Society (MTS) and the Oceanic Engineering Society (OES) of the Institute of Electrical and Electronic Engineers (IEEE) cosponsor a joint conference and exposition on ocean science, engineering, education, and policy. Held annually in the fall, it has become a focal point for the ocean and marine community to meet, learn, and exhibit products and services. The conference includes technical sessions, workshops, student poster sessions, job fairs, tutorials and a large exhibit.

  • OCEANS 2007

  • OCEANS 2006

  • OCEANS 2005

  • OCEANS 2004

  • OCEANS 2003

  • OCEANS 2002

  • OCEANS 2001

  • OCEANS 2000

  • OCEANS '99

  • OCEANS '98

  • OCEANS '97

  • OCEANS '96


2019 21st European Conference on Power Electronics and Applications (EPE '19 ECCE Europe)

Energy conversion and conditioning technologies, power electronics, adjustable speed drives and their applications, power electronics for smarter grid, energy efficiency,technologies for sustainable energy systems, converters and power supplies


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Periodicals related to Smart Highways

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Aerospace and Electronic Systems Magazine, IEEE

The IEEE Aerospace and Electronic Systems Magazine publishes articles concerned with the various aspects of systems for space, air, ocean, or ground environments.


Communications Magazine, IEEE

IEEE Communications Magazine was the number three most-cited journal in telecommunications and the number eighteen cited journal in electrical and electronics engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications ...


Communications Surveys & Tutorials, IEEE

Each tutorial reviews currents communications topics in network management and computer and wireless communications. Available tutorials, which are 2.5 to 5 hours in length contains the original visuals and voice-over by the presenter. IEEE Communications Surveys & Tutorials features two distinct types of articles: original articles and reprints. The original articles are exclusively written for IEEE Communications Surveys & Tutorials ...


Computer

Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.


Image Processing, IEEE Transactions on

Signal-processing aspects of image processing, imaging systems, and image scanning, display, and printing. Includes theory, algorithms, and architectures for image coding, filtering, enhancement, restoration, segmentation, and motion estimation; image formation in tomography, radar, sonar, geophysics, astronomy, microscopy, and crystallography; image scanning, digital half-toning and display, andcolor reproduction.


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Most published Xplore authors for Smart Highways

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Xplore Articles related to Smart Highways

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Sensor Network Design for Smart Highways

IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans, 2012

A unique and efficient system model is proposed for sensor networks to create sensor-smart highways. The approach first considers various cell geometries encountered with 2-D roads and then extends the same to 3-D roads. Mathematical relations describing each type of cell are derived, and the analyses indicate the numbers and positions of sensor nodes needed in each cell of a ...


Sensor network design for smart highways

2009 IEEE International Conference on Automation Science and Engineering, 2009

We suggest a unique and efficient system model for sensor networks to create sensor-smart highways. Our approach first considers various cell geometries encountered with two-dimensional roads, which are then extended to three- dimensional roads. The mathematical relations describing each type of cell are derived, and the analysis indicates the numbers and positions of sensor nodes needed in each cell of ...


Smart cars, smart highways

IEEE Spectrum, 1994

Advanced electronics is being used to unclog the transportation network and allow private vehicles, trucks, buses and trains to move further faster. already a range of technologies and ideas have been explored, deployed, and tested as part of the Intelligent Vehicle Highway System programs in the United States and Japan, and in the Road Transport Informatics program in Europe. The ...


Convergence of emerging technologies to address the challenges of the 21st century

2014 IEEE International Conference on Semiconductor Electronics (ICSE2014), 2014

There are numerous "Grand Challenges" facing humanity that will have to be addressed by us as a global society in order to maintain our well-being from the standpoint of quality of life, healthcare, environment, energy needs, manufacturing efficiencies, etc., if we are to continue humanity's trajectory of progress. Traditional technologies based on classical disciplines and thought processes of the past ...


Optimisation of MAC layer to mitigate the effect of increased mobility in VANET

2016 2nd International Conference on Contemporary Computing and Informatics (IC3I), 2016

Lately the concepts of smart cities, smart highways and automated vehicles have been rigorously promoted in literature and it depends on the maturity of technology based on VANET (Vehicular Adhoc Network). Even though VANET can be considered as an enabling networking technology to realize smart capabilities in congested city scenarios. However there are many challenges linked with the network and ...


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Educational Resources on Smart Highways

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IEEE-USA E-Books

  • Sensor Network Design for Smart Highways

    A unique and efficient system model is proposed for sensor networks to create sensor-smart highways. The approach first considers various cell geometries encountered with 2-D roads and then extends the same to 3-D roads. Mathematical relations describing each type of cell are derived, and the analyses indicate the numbers and positions of sensor nodes needed in each cell of a certain type. We then propose algorithms for computing the deployment positions of sensor nodes on roads by describing them as consisting of cells of different geometries. We also validate the approach by computing a sensor deployment using real geospatial data.

  • Sensor network design for smart highways

    We suggest a unique and efficient system model for sensor networks to create sensor-smart highways. Our approach first considers various cell geometries encountered with two-dimensional roads, which are then extended to three- dimensional roads. The mathematical relations describing each type of cell are derived, and the analysis indicates the numbers and positions of sensor nodes needed in each cell of a certain type. We then propose algorithms for computing the deployment positions of sensor nodes on roads by describing them as consisting of cells of different geometries. Our algorithms are fast, inherently parallel, and can be efficiently run for large data sizes. We also discuss a traffic monitoring application making use of such a sensor network.

  • Smart cars, smart highways

    Advanced electronics is being used to unclog the transportation network and allow private vehicles, trucks, buses and trains to move further faster. already a range of technologies and ideas have been explored, deployed, and tested as part of the Intelligent Vehicle Highway System programs in the United States and Japan, and in the Road Transport Informatics program in Europe. The authors describe how these latest electronics for automobiles and roadways herald far fewer traffic jams, greater safety, and perhaps even a decline in pollution.<<ETX>>

  • Convergence of emerging technologies to address the challenges of the 21st century

    There are numerous "Grand Challenges" facing humanity that will have to be addressed by us as a global society in order to maintain our well-being from the standpoint of quality of life, healthcare, environment, energy needs, manufacturing efficiencies, etc., if we are to continue humanity's trajectory of progress. Traditional technologies based on classical disciplines and thought processes of the past several decades are no longer viable in addressing these challenges, and a new approach based on interdisciplinary thinking is necessary. Fortunately, numerous emerging technologies are advancing at an unimaginable rate and it is the convergence of these technologies that demonstrate the potential to have a major impact on our lives, businesses, government, society and our planet. These emerging technologies are establishing the basis for a new paradigm in the development and commercialization of next generation intelligent, miniaturized, highly robust complex systems. This lecture will address some of these major technologies and their applications including, intelligent sensors and wireless sensor networks, intelligent cars and smart highways, tele-health (wireless healthcare), micro-electromechanical systems (MEMS), nanotechnology, clean technology, robotics and automation, smart grid, and ultra high throughput and wide bandwidth instrumentation.

  • Optimisation of MAC layer to mitigate the effect of increased mobility in VANET

    Lately the concepts of smart cities, smart highways and automated vehicles have been rigorously promoted in literature and it depends on the maturity of technology based on VANET (Vehicular Adhoc Network). Even though VANET can be considered as an enabling networking technology to realize smart capabilities in congested city scenarios. However there are many challenges linked with the network and MAC Layer. A lot of work has been reported in the literature related to routing protocols but the literature is sparse for the MAC Layer Optimisation. So considering the MAC Layer Optimisation as the main target, the work has been done in this paper. In doing so effect of mobility on the Selection of Queue Size in MAC Layer has been considered. In this paper extensive simulations have been done for the optimisation of MAC Layer in terms of Queue Size. The simulation results in terms of QoS parameters like Packet Collision Rate, Packet Drop Rate, Throughput Rate and Broadcast Rate have been used to observe the effect of mobility and to achieve the optimum queue size.

  • Future of Vehicle and Roadside Intelligent Transport Systems

    The vision of vehicle-to-vehicle and vehicle-to-infrastructure integration is not new. Since the start of intelligent transport systems transport professionals have envisaged the world of free-flow information and systems to make our daily lives simpler, our journey's faster, safer and more reliable. But this vision and dream has evaded our reality, until now. Jack Opiola will share with the audience bold new communications technologies and standards that are emerging around the globe to realize the dream of the ITS visionaries. Previous programs have demonstrated the possibility of running smart cars on smart highways. However, lacking a profitable business case and strong political base, these programs have not developed beyond the demonstration stage, and even then these programmes were limited in scope. What do we know from our previous experience with automated highway programs, and what does that suggest for the future of vehicle and infrastructure integration? Join policy makers, researchers, and evaluators to learn more about the evolving, provocative and promising ITS vehicle communications program emerging in the months ahead.

  • Ultra low-energy transceivers for wireless sensor networks

    Summary form only given. An untapped opportunity in the realm of wireless data lies in low data-rate (<10 kbit/sec) low-cost wireless transceivers, assembled into distributed networks of sensor and actuator nodes. This enables applications such as smart buildings and highways, environment monitoring, user interfaces, entertainment, factory automation, and robotics. While the aggregate system processes large amounts of data, individual nodes participate in a small fraction only (typical data rates <1 kbit/sec). These ubiquitous networks require that the individual nodes are tiny, easily integratable into the environment, and have negligible cost. Most importantly, the nodes must be self-contained in terms of energy via a one-time battery charge or a replenishable supply of energy scavenged from the environment. With the proposed size limitations, battery power alone does not suffice to ensure self-containment. Energy scavenging approaches can deliver up to 100 /spl mu/W. Achieving such ultra-low power-dissipation level requires reductions from the system architecture down to the circuit technology. The presentation presents a number of techniques to accomplish this, and outlines avenues for further research.

  • A combination of Internet of Things (IoT) and graph database for future battlefield systems

    Internet of things (IoT) has provided a technological platform for purposeful connectivity. IoT allows smart devices and sensors to sense, connect and control the devices even remotely. The development in the field of Internet of Things has been enormous and the application of these solutions is scalable to high limits. The quantum of Internet of Things (IoT) is developing fast and is predicted to reach each and every sector of the computing world. We are already converging towards smart homes, smart highways, and smart cities. The defense sector of any nation is also affected by these developments. Defense field's solution is primarily based on sensors and their deployments. The primary aim of sensory data is the conclusion of information suitable for tactical decision and analysis in the Future battlefield environment. From capturing soldier's vital health parameters to its weapons, ammunition, location status, every data has a purposeful meaning and is of particular importance to the tactical commander sitting in the command center. We are proposing a novel mechanism to combine Internet of Things with the emerging graph database for better decision support system so as to create a situational awareness about every parameter of the soldiers in the battlefield. We present a simulated use case scenario of the future battlefield to query the graph database for situational awareness pattern for tactical advantage over the opponents.

  • Secure and reliable cloud networks for smart transportation services

    This paper has discussed about smart transportation services in cloud (Cloud- STS) for safety and convenience. STS provide driver centric board services in the cloud networks. STS composed of Vehicle to WiFi networks (VtoWiFi), Vehicle to Cloud Network (VtoCN), Vehicle to Vehicle (VtoV), and Cloud Network to service provider (CNtoSP). The idea is to utilize the (WiFi enabled) Smart Highways and 3Dcamera enabled dash board navigation device to enhance accident prevention / monitoring and control. Hence, in the event of accident, the video recorded using the collectors and the information about the location, specified by the GPS module are transferred to reliable cloud so that the concerned authorities can have a look at the evidence stored at same time and provide additional services to capture and share real-time accident/traffic footages.

  • Predictive data mining for Converged Internet of Things: A Mobile Health perspective

    Mobile Health (mHealth) is now emerging with Internet of Things (IoT), Cloud and big data along with the prevalence of smart wearable devices and sensors. There is also the emergence of smart environments such as smart homes, cars, highways, cities, factories and grids. Presently, it is difficult to quickly forecast or prevent urgent health situations in real-time as health data are analyzed offline by a physician. Sensors are expected to be overloaded by demands of providing health data from IoT networks and smart environments. This paper proposes to resolve the problems by introducing an inference system so that life-threatening situations can be prevented in advance based on a short and long term health status prediction. This prediction is inferred from personal health information that is built by big data in Cloud. The inference system can also resolve the problem of data overload in sensor nodes by reducing data volume and frequency to reduce workload in sensor nodes. This paper presents a novel idea of tracking down and predicting a personal health status as well as intelligent functionality of inference in sensor nodes to interface IoT networks.



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