The Experts below are selected from a list of 66264 Experts worldwide ranked by ideXlab platform

Alex Pentland - One of the best experts on this subject based on the ideXlab platform.

M.m. Manos M. Tentzeris - One of the best experts on this subject based on the ideXlab platform.

  • Invited talks: Inkjet-/3D-/4D-printed paper/polymer-based “green” mmW modules: The final step to bridge Cognitive Intelligence, nanotechnology and RF for IoT and 5G applications
    2016 International Conference on Smart Green Technology in Electrical and Information Systems (ICSGTEIS), 2016
    Co-Authors: M.m. Manos M. Tentzeris
    Abstract:

    In this talk, inkjet-/3D-printed flexible antennas, RF electronics and sensors fabricated on paper and other polymer (e.g. LCP) substrates are introduced as a system-level solution for ultra-low-cost mass production of Millimeter-Wave Modules for Communication, Energy Harvesting and Sensing applications. Prof. Tentzeris will briefly touch up the state-of-the-art area of fully-integrated wireless sensor modules on paper or flexible LCP and show the first ever 2D sensor integration with an RFID tag module on paper, as well as numerous 3D and 4D multilayer paper-based and LCP-based RF/microwave structures, that could potentially set the foundation for the truly convergent wireless sensor ad-hoc networks of the future with enhanced Cognitive Intelligence and “rugged” packaging. Prof. Tentzeris will discuss issues concerning the power sources of “near-perpetual” RF modules, including flexible miniaturized batteries as well as power-scavenging approaches involving thermal, EM, vibration and solar energy forms. The final step of the presentation will involve examples from mmW wearable (e.g. biomonitoring) antennas and RF modules, as well as the first examples of the integration of inkjet-printed nanotechnology-based (e.g. CNT) sensors on paper and organic substrates for Internet of Things (IoT), 5G and autonomous vehicles applications. It has to be noted that the talk will review and present challenges for inkjet-printed organic active and nonlinear devices as well as future directions in the area of environmentally-friendly (“green”) RF electronics and “smart-skin” conformal sensors.

  • invited talks inkjet 3d 4d printed paper polymer based green mmw modules the final step to bridge Cognitive Intelligence nanotechnology and rf for iot and 5g applications
    2016 International Conference on Smart Green Technology in Electrical and Information Systems (ICSGTEIS), 2016
    Co-Authors: M.m. Manos M. Tentzeris
    Abstract:

    In this talk, inkjet-/3D-printed flexible antennas, RF electronics and sensors fabricated on paper and other polymer (e.g. LCP) substrates are introduced as a system-level solution for ultra-low-cost mass production of Millimeter-Wave Modules for Communication, Energy Harvesting and Sensing applications. Prof. Tentzeris will briefly touch up the state-of-the-art area of fully-integrated wireless sensor modules on paper or flexible LCP and show the first ever 2D sensor integration with an RFID tag module on paper, as well as numerous 3D and 4D multilayer paper-based and LCP-based RF/microwave structures, that could potentially set the foundation for the truly convergent wireless sensor ad-hoc networks of the future with enhanced Cognitive Intelligence and “rugged” packaging. Prof. Tentzeris will discuss issues concerning the power sources of “near-perpetual” RF modules, including flexible miniaturized batteries as well as power-scavenging approaches involving thermal, EM, vibration and solar energy forms. The final step of the presentation will involve examples from mmW wearable (e.g. biomonitoring) antennas and RF modules, as well as the first examples of the integration of inkjet-printed nanotechnology-based (e.g. CNT) sensors on paper and organic substrates for Internet of Things (IoT), 5G and autonomous vehicles applications. It has to be noted that the talk will review and present challenges for inkjet-printed organic active and nonlinear devices as well as future directions in the area of environmentally-friendly (“green”) RF electronics and “smart-skin” conformal sensors.

  • No battery required: Perpetual rfid-enabled wireless sensors for Cognitive Intelligence applications
    IEEE Microwave Magazine, 2013
    Co-Authors: Sangkil Kim, Chiara Mariotti, Federico Alimenti, Apostolos Georgiadis, Ana Collado, Paolo Mezzanotte, Luca Roselli, M.m. Manos M. Tentzeris
    Abstract:

    Over the last decade, radio frequency identification (RFID) systems have been increasingly used for identification and object tracking due to their low-power, low-cost wireless features. In addition, the explosive demand for ubiquitous rugged low-power, compact wireless sensors for Internet-of-Things, ambient Intelligence, and biomonitoring/ quality-of-life application has sparked a plethora of research efforts to integrate sensors with an RFID-enabled platform. The rapid evolution of large-area electronics printing technologies (e.g., ink-jet printing and gravure printing) has enhanced the development of low-cost RFID-enabled sensors as well as accelerated their large-scale deployment. This article presents a brief overview of the recent progress in the area of RFID-based sensor systems and especially the state-of-the-art RFID-enabled wireless sensor tags realized through the use of ink-jet printing technology.

  • Inkjet-printed paper/polymer-based RFID and Wireless Sensor Nodes: The final step to bridge Cognitive Intelligence, nanotechnology and RF?
    2011 XXXth URSI General Assembly and Scientific Symposium, 2011
    Co-Authors: M.m. Manos M. Tentzeris, Hoseon Lee, Vasileios Lakafosis, Anya Traille, Amin Rida, Rushi Vyas
    Abstract:

    In this talk, inkjet-printed flexible antennas, RF electronics and sensors fabricated on paper and other polymer (e.g. LCP)substrates are introduced as a system-level solution for ultra-low-cost mass production of UHF Radio Frequency Identification (RFID) Tags and Wireless Sensor Nodes (WSN) in an approach that could be easily extended to other microwave and wireless applications. The talk will cover examples from UHF up to the millimeter-wave frequency ranges. A compact inkjet-printed UHF "passive-RFID" antenna using the classic T-match approach and designed to match IC's complex impedance, is presented as a the first demonstrating prototype for this technology. Then, Prof. Tentzeris will briefly touch up the state-of-the-art area of fully-integrated wireless sensor modules on paper or flexible LCP and show the first ever 2D sensor integration with an RFID tag module on paper, as well as numerous 3D multilayer paper-based and LCP-based RF/microwave structures, that could potentially set the foundation for the truly convergent wireless sensor ad-hoc networks of the future with enhanced Cognitive Intelligence, anti-counterfeiting capabilities and "rugged" packaging. We will discuss issues concerning the power sources of "near-perpetual" RF modules, including flexible minaturized batteries as well as power-scavenging approaches involving thermal, EM, vibration and solar energy forms. The final step of the presentation will involve examples from wearable (e.g. biomonitoring) antennas and RF modules, as well as the first examples of the integration of inkjet-printed nanotechnology-based (e.g. CNT) sensors on paper and organic substrates. It has to be noted that the talk will review and present challenges for inkjet-printed organic active and nonlinear devices as well as future directions in the area of environmentally-friendly ("green") RF electronics and "smart-skin' conformal sensors.

  • Inkjet-printed paper/polymer-based "green" RFID and wireless sensor nodes: The final step to bridge Cognitive Intelligence, nanotechnology and RF?
    Proceedings of IEEE Sensors, 2010
    Co-Authors: M.m. Manos M. Tentzeris, Hoseon Lee, Vasileios Lakafosis, Anya Traille, Amin Rida, Rushi Vyas
    Abstract:

    In this talk, inkjet-printed flexible antennas, RF electronics and sensors fabricated on paper and other polymer (e.g.LCP)substrates are introduced as a system-level solution for ultra-low-cost mass production of UHF Radio Frequency Identification (RFID) Tags and Wireless Sensor Nodes (WSN) in an approach that could be easily extended to other microwave and wireless applications. The talk will cover examples from UHF up to the millimeter-wave frequency ranges. A compact inkjet-printed UHF "passive-RFID" antenna using the classic T-match approach and designed to match IC's complex impedance, is presented as a the first demonstrating prototype for this technology. Then, Prof. Tentzeris will briefly touch up the state-of-the-art area of fully-integrated wireless sensor modules on paper or flexible LCP and show the first ever 2D sensor integration with an RFID tag module on paper, as well as numerous 3D multilayer paper-based and LCP-based RF/microwave structures, that could potentially set the foundation for the truly convergent wireless sensor ad-hoc networks of the future with enhanced Cognitive Intelligence and "rugged" packaging. Prof. Tentzeris will discuss issues concerning the power sources of "near-perpetual" RF modules, including flexible minaturized batteries as well as power-scavenging approaches involving thermal, EM, vibration and solar energy forms. The final step of the presentation will involve examples from wearable (e.g. biomonitoring) antennas and RF modules, as well as the first examples of the integration of inkjet-printed nanotechnology-based (e.g.CNT) sensors on paper and organic substrates. It has to be noted that the talk will review and present challenges for inkjet-printed organic active and nonlinear devices as well as future directions in the area of environmentally-friendly ("green") RF electronics and "smart-skin" conformal sensors.

Rushi Vyas - One of the best experts on this subject based on the ideXlab platform.

  • Inkjet-printed paper/polymer-based RFID and Wireless Sensor Nodes: The final step to bridge Cognitive Intelligence, nanotechnology and RF?
    2011 XXXth URSI General Assembly and Scientific Symposium, 2011
    Co-Authors: M.m. Manos M. Tentzeris, Hoseon Lee, Vasileios Lakafosis, Anya Traille, Amin Rida, Rushi Vyas
    Abstract:

    In this talk, inkjet-printed flexible antennas, RF electronics and sensors fabricated on paper and other polymer (e.g. LCP)substrates are introduced as a system-level solution for ultra-low-cost mass production of UHF Radio Frequency Identification (RFID) Tags and Wireless Sensor Nodes (WSN) in an approach that could be easily extended to other microwave and wireless applications. The talk will cover examples from UHF up to the millimeter-wave frequency ranges. A compact inkjet-printed UHF "passive-RFID" antenna using the classic T-match approach and designed to match IC's complex impedance, is presented as a the first demonstrating prototype for this technology. Then, Prof. Tentzeris will briefly touch up the state-of-the-art area of fully-integrated wireless sensor modules on paper or flexible LCP and show the first ever 2D sensor integration with an RFID tag module on paper, as well as numerous 3D multilayer paper-based and LCP-based RF/microwave structures, that could potentially set the foundation for the truly convergent wireless sensor ad-hoc networks of the future with enhanced Cognitive Intelligence, anti-counterfeiting capabilities and "rugged" packaging. We will discuss issues concerning the power sources of "near-perpetual" RF modules, including flexible minaturized batteries as well as power-scavenging approaches involving thermal, EM, vibration and solar energy forms. The final step of the presentation will involve examples from wearable (e.g. biomonitoring) antennas and RF modules, as well as the first examples of the integration of inkjet-printed nanotechnology-based (e.g. CNT) sensors on paper and organic substrates. It has to be noted that the talk will review and present challenges for inkjet-printed organic active and nonlinear devices as well as future directions in the area of environmentally-friendly ("green") RF electronics and "smart-skin' conformal sensors.

  • Inkjet-printed paper/polymer-based "green" RFID and wireless sensor nodes: The final step to bridge Cognitive Intelligence, nanotechnology and RF?
    Proceedings of IEEE Sensors, 2010
    Co-Authors: M.m. Manos M. Tentzeris, Hoseon Lee, Vasileios Lakafosis, Anya Traille, Amin Rida, Rushi Vyas
    Abstract:

    In this talk, inkjet-printed flexible antennas, RF electronics and sensors fabricated on paper and other polymer (e.g.LCP)substrates are introduced as a system-level solution for ultra-low-cost mass production of UHF Radio Frequency Identification (RFID) Tags and Wireless Sensor Nodes (WSN) in an approach that could be easily extended to other microwave and wireless applications. The talk will cover examples from UHF up to the millimeter-wave frequency ranges. A compact inkjet-printed UHF "passive-RFID" antenna using the classic T-match approach and designed to match IC's complex impedance, is presented as a the first demonstrating prototype for this technology. Then, Prof. Tentzeris will briefly touch up the state-of-the-art area of fully-integrated wireless sensor modules on paper or flexible LCP and show the first ever 2D sensor integration with an RFID tag module on paper, as well as numerous 3D multilayer paper-based and LCP-based RF/microwave structures, that could potentially set the foundation for the truly convergent wireless sensor ad-hoc networks of the future with enhanced Cognitive Intelligence and "rugged" packaging. Prof. Tentzeris will discuss issues concerning the power sources of "near-perpetual" RF modules, including flexible minaturized batteries as well as power-scavenging approaches involving thermal, EM, vibration and solar energy forms. The final step of the presentation will involve examples from wearable (e.g. biomonitoring) antennas and RF modules, as well as the first examples of the integration of inkjet-printed nanotechnology-based (e.g.CNT) sensors on paper and organic substrates. It has to be noted that the talk will review and present challenges for inkjet-printed organic active and nonlinear devices as well as future directions in the area of environmentally-friendly ("green") RF electronics and "smart-skin" conformal sensors.

  • Inkjet-printed paper/polymer-based “green” RFID and Wireless Sensor Nodes: The final step to bridge Cognitive Intelligence nanotechnology and RF?
    2010 IEEE Sensors, 2010
    Co-Authors: M.m. Manos M. Tentzeris, Hoseon Lee, Vasileios Lakafosis, Anya Traille, Amin Rida, Rushi Vyas
    Abstract:

    In this talk, inkjet-printed flexible antennas, RF electronics and sensors fabricated on paper and other polymer (e.g. LCP) substrates are introduced as a system-level solution for ultra-low-cost mass production of UHF Radio Frequency Identification (RFID) Tags and RFID-enabled Wireless Sensor Nodes (WSN's) in an approach that could be easily expanded to other microwave and wireless “cognition” applications. The talk will also touch up the state-of-the-art area of fully integrated wireless sensor modules on paper or LCP and demonstrate the 2D and the first ever 3D sensor integration in the form of module-on-paper, that could potentially set the foundation for the truly convergent wireless sensor ad-hoc networks of the future with enhanced Cognitive Intelligence and “rugged” packaging. Various examples encompassing temperature sensors, carbon-nanotube-enabled inkjet printed gas sensors and crack detection sensors will be covered in detail.

  • Design of a novel, battery-less, solar powered wireless tag for enhanced range remote tracking applications
    2009
    Co-Authors: Rushi Vyas, Vasileios Lakafosis, Zissis Konstas, M.m. Manos M. Tentzeris
    Abstract:

    In this paper, we present the first ever wireless ldquoBattery-less Solar Powered Wireless Tagrdquo that can also communicate with wireless sensor networks for the first time reported. This RFID is based on the hardware/software codesign of five different technologies, and could set the foundation of ubiquitous ultra-low-cost RFID networks and the first generation of ldquogreenrdquo RF electronics offering truly Cognitive Intelligence.

  • design integration and characterization of a novel paper based wireless sensor module
    International Microwave Symposium, 2008
    Co-Authors: Rushi Vyas, Amin Rida, Li Yang, Manos M Tentzeris
    Abstract:

    In this paper, the first ever wireless “System On Paper” is introduced. A paper based wireless sensor module verifies the feasibility of this technology. Inkjet printing of conductive nano-particle silver ink, as well as the efficient integration of sensor active and passive devices and power source, reported in this paper, set the foundation for the development of low-cost light-weight autonomous nodes for Cognitive Intelligence applications.

Shaojun Wei - One of the best experts on this subject based on the ideXlab platform.

  • a fast and power efficient architecture to parallelize lstm based rnn for Cognitive Intelligence applications
    Design Automation Conference, 2017
    Co-Authors: Peng Ouyang, Shouyi Yin, Shaojun Wei
    Abstract:

    Long Short-Term Memory (LSTM) based Recurrent Neural Networks (RNNs) are promising for Cognitive Intelligence applications like speech recognition, image caption and nature language processing, etc. However, the cascade dependent structure in RNN with huge amount of power inefficient operations like multiplication, memory accessing and nonlinear transformation, could not guarantee high computing speed and low power consumption. In this work, by exploiting semantic correlation, we propose a semantic correlation based data pre-fetch method to break the dependency and achieve parallel processing. Based on this method, a full parallel and pipeline architecture that tackles huge amount operations is designed. Experiments on benchmarks of image caption, speech recognition and language processing show that, this work improves computing speed by 5.1 times, 44.9 times and 1.53 times, respectively, and power efficiency by 1885.7 times, 4061.5 times and 127.5 times, respectively, when compared with state-of-the-art works.

  • DAC - A Fast and Power Efficient Architecture to Parallelize LSTM based RNN for Cognitive Intelligence Applications
    Proceedings of the 54th Annual Design Automation Conference 2017, 2017
    Co-Authors: Peng Ouyang, Shouyi Yin, Shaojun Wei
    Abstract:

    Long Short-Term Memory (LSTM) based Recurrent Neural Networks (RNNs) are promising for Cognitive Intelligence applications like speech recognition, image caption and nature language processing, etc. However, the cascade dependent structure in RNN with huge amount of power inefficient operations like multiplication, memory accessing and nonlinear transformation, could not guarantee high computing speed and low power consumption. In this work, by exploiting semantic correlation, we propose a semantic correlation based data pre-fetch method to break the dependency and achieve parallel processing. Based on this method, a full parallel and pipeline architecture that tackles huge amount operations is designed. Experiments on benchmarks of image caption, speech recognition and language processing show that, this work improves computing speed by 5.1 times, 44.9 times and 1.53 times, respectively, and power efficiency by 1885.7 times, 4061.5 times and 127.5 times, respectively, when compared with state-of-the-art works.

Seungmin Rho - One of the best experts on this subject based on the ideXlab platform.

  • Cooperative Cognitive Intelligence for Internet of Vehicles
    IEEE Systems Journal, 2017
    Co-Authors: Anand Paul, Alfred Daniel, Awais Ahmad, Seungmin Rho
    Abstract:

    To resolve the contradictions between the increasing demand of vehicular wireless applications and the shortage of spectrum resources, high mobility, short link lifetime, and spectrum efficiency, a novel Cognitive radio (CR) and efficient management of spectrum in vehicular communication is required. Therefore, to exhibit the importance of spectral efficiency, a system model is proposed for cooperative centralized and distributed spectrum sensing in vehicular networks. The proposed architecture is used to minimize both the spectral scarcity and high mobility issues. Furthermore, we analyze the decision fusion techniques in cooperative spectrum sensing for vehicular networks. In addition, a system model is designed for decision fusion techniques using renewal theory, and then, we analyze the probability of detection of primary channel and the average waiting time for CR user or secondary user in PU transmitter. Finally, mathematical analysis is performed to check the probability of detection and false alarm. The results show that the cooperative Cognitive model is more suitable for vehicular networks that minimize interference and hidden PU problem.

  • Cognitive radio in vehicular network
    Intelligent Vehicular Networks and Communications, 2017
    Co-Authors: Anand Paul, Alfred Daniel, Naveen Chilamkurti, Seungmin Rho
    Abstract:

    This chapter explores the importance of cooperative Cognitive Intelligence in vehicular networks. The focus of this chapter is about the spectral efficiency, spectral scarcity, and high mobility in Cognitive vehicular networks. Also, it provides various features and characteristics of the spectrum-sensing mechanism in Cognitive radio of vehicular communication. The architectural viewpoint on the Cognitive vehicular network is also illustrated.