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IEEE International Conference on Communications (ICC)

作者： Grace Khayat Constandinos X. Mavromoustakis George Mastorakis Jordi Mongay Batalla Hoda Maalouf Mithun Mukherjee Evangelos Pallis Department of Computer Science Mobile Systems Laboratory (MoSys Lab) University of Nicosia Nicosia Cyprus Science and Technology Hellenic Mediterranean University Agios Nikolaos Crete Greece National Institute of Telecommunications and Warsaw University of Technology Warsaw Poland Computer Science Department Faculty of Natural and Applied Sciences Notre Dame University Louaize Zouk Mosbeh Lebanon Guangdong University of Petrochemical Technology P.R. China Department of Electrical and Computer Engineering Hellenic Mediterranean University Heraklion Crete Greece

ISBN: (数字)9781728150895

ISBN: (纸本)9781728150901

Breakdown or interruption of communication infrastructure is one of the most immediate and significant impacts of natural disasters. This paper is devoted to the modeling of the successful uplink in Vehicular ad-hoc networks (VANET) in disaster cases where vehicles encounter disrupted communication. The packets' size to be transmitted, the vehicles' speed, the infrastructure coverage range, the disconnected distance, and the number of copies sent have a strong influence on the probability of success for uploading the packets. A simple connectionless retransmission scheme is proposed where several copies of the same packet are transmitted to make sure that the vehicle will upload successfully at least one copy of the packet. The optimum number of retransmission and the choice of inter-frame gap required between successive copy packets are also found. In this respect, this paper studies the mentioned parameters' effect on the probability of success for the uplink and the throughput. MATLAB was used to run a simulation and validate the theoretical analysis.

关键词： Vehicular ad hoc networks Routing protocols Uplink Throughput Reliability

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Cost effective dual-polarization interferometric fiber optic gyroscope with ultra-simple configuration

Cost effective dual-polarization interferometric fiber optic...

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2018 Conference on Lasers and Electro-Optics, CLEO 2018

作者： Chen, Fangyuan Li, Yulin Luo, Rongya Ben, Fang He, Dong Peng, Chao State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Engineering and Computer Science Peking University Beijing100871 China

A cost effective and ultra-simple dual-polarization interferometric fiber optic gyroscope utilizing single-mode components was proposed and tested, which achieves an overall bias instability below 2 χ 10-2 °/h a...

ISBN: (纸本)9781943580422

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Multimodal Whole Slide Foundation Model for Pathology

arXiv

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arXiv 2024年

作者： Ding, Tong Wagner, Sophia J. Song, Andrew H. Chen, Richard J. Lu, Ming Y. Zhang, Andrew Vaidya, Anurag J. Jaume, Guillaume Shaban, Muhammad Kim, Ahrong Williamson, Drew F.K. Chen, Bowen Almagro-Perez, Cristina Doucet, Paul Sahai, Sharifa Chen, Chengkuan Komura, Daisuke Kawabe, Akihiro Ishikawa, Shumpei Gerber, Georg Peng, Tingying Le, Long Phi Mahmood, Faisal Department of Pathology Mass General Brigham Harvard Medical School BostonMA United States Data Science Program Dana-Farber Cancer Institute BostonMA United States Cancer Program Broad Institute of Harvard and MIT CambridgeMA United States John A. Paulson School of Engineering and Applied Sciences Harvard University CambridgeMA United States Helmholtz Munich German Research Center for Environment and Health Munich Germany School of Computation Information and Technology Technical University of Munich Munich Germany Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology CambridgeMA United States Harvard-MIT Division of Health Sciences and Technology Massachusetts Institute of Technology CambridgeMA United States Department of Pathology Pusan National University Busan Korea Republic of Department of Pathology and Laboratory Medicine Emory University School of Medicine AtlantaGA United States Harvard Data Science Initiative Harvard University CambridgeMA United States Department of Systems Biology Harvard Medical School BostonMA United States Department of Preventive Medicine Graduate School of Medicine The University of Tokyo Tokyo Japan Division of Pathology National Cancer Center Exploratory Oncology Research & Clinical Trial Center Chiba Japan

The field of computational pathology has been transformed with recent advances in foundation models that encode histopathology region-of-interests (ROIs) into versatile and transferable feature representations via self-supervised learning (SSL). However, translating these advancements to address complex clinical challenges at the patient and slide level remains constrained by limited clinical data in disease-specific cohorts, especially for rare clinical conditions. We propose TITAN, a multimodal whole slide foundation model pretrained using 335,645 WSIs via visual self-supervised learning and vision-language alignment with corresponding pathology reports and 423,122 synthetic captions generated from a multimodal generative AI copilot for pathology. Without any finetuning or requiring clinical labels, TITAN can extract general-purpose slide representations and generate pathology reports that generalize to resource-limited clinical scenarios such as rare disease retrieval and cancer prognosis. We evaluate TITAN on diverse clinical tasks and find that TITAN outperforms both ROI and slide foundation models across machine learning settings such as linear probing, few-shot and zero-shot classification, rare cancer retrieval and cross-modal retrieval, and pathology report generation. The model is publicly accessible at https://***/mahmoodlab/TITAN © 2024, CC BY-NC-ND.

关键词： Self-supervised learning

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Winners of the 2018 MTT-S Undergraduate/Pregraduate Scholarships [Education News]

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IEEE Microwave Magazine 2019年第7期20卷 68-72页

作者： Zlatica Marinkovic Ping Jack Soh Ramesh Gupta Rashaunda M. Henderson University of Nis Serbia Computer and Communication Engineering Universiti Malaysia Perlis Ligado Networks Reston Virginia United States High Frequency Circuits and Systems Laboratory University of Texas Dallas United States

Presents a listing of the recipients of the 2018 MTT-S Undergraduate/Pregraduate Scholarships.

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Adversarial deep learning in EEG biometrics

arXiv

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arXiv 2019年

作者： Özdenizci, Ozan Wang, Ye Koike-Akino, Toshiaki Erdoğmuş, Deniz Cognitive Systems Laboratory Department of Electrical and Computer Engineering Northeastern University BostonMA United States Mitsubishi Electric Research Laboratories CambridgeMA United States

Deep learning methods for person identification based on electroencephalographic (EEG) brain activity encounters the problem of exploiting the temporally correlated structures or recording session specific variability within EEG. Furthermore, recent methods have mostly trained and evaluated based on single session EEG data. We address this problem from an invariant representation learning perspective. We propose an adversarial inference approach to extend such deep learning models to learn session-invariant person-discriminative representations that can provide robustness in terms of longitudinal usability. Using adversarial learning within a deep convolutional network, we empirically assess and show improvements with our approach based on longitudinally collected EEG data for person identification from half-second EEG epochs. Copyright © 2019, The Authors. All rights reserved.

关键词： Biometrics

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Cavity quantum electrodynamic analysis of spasing in nanospherical dimers

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Physical Review B 2019年第8期100卷 085439-085439页

作者： Tharindu Warnakula Sarath D. Gunapala Mark I. Stockman Malin Premaratne Advanced Computing and Simulation Laboratory (AXL) Department of Electrical and Computer Systems Engineering Monash University Clayton Victoria 3800 Australia Jet Propulsion Laboratory California Institute of Technology Pasadena California 91109 USA Department of Physics and Astronomy Georgia State University Atlanta Georgia 30303 USA

We present a detailed cavity quantum electrodynamic model of a nanospherical dimer and use it to analyze bright hybrid spasing modes there. Using an approximate numerical scheme, we model the complete spasing system as an open quantum system under the Lindblad dissipator formalism. We show that while in general the longitudinal dimer setups display higher intensity spasing as compared with transverse dimers, the latter actually consistently lead to output with higher coherence. Intriguingly, and somewhat counterintuitively, we find that transverse dimers only reach peak output at an intermediate dimer separation at which field confinement is not the strongest. We show that this is due to low radiative decay rates of transverse dimers with significant dimer gaps. We also find that transverse dimers outperform longitudinal dimers in terms of output intensity in a weakly pumped sparse gain medium made of dimers with relatively large separations. Moreover, in all the configurations considered, we find that the second-order coherence of the spasing output shows a peaked behavior just before the threshold, suggesting that the coherence is a useful indicator of spasing. Even though the scheme we describe is focused on dimers, owing to the generic form of the analysis presented, it can be easily extended to investigate spasing in the bright modes of multiple coupled plasmon sources.

关键词： Hybrid quantum systems Plasmonics Nanoparticles

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Dual-hop Relaying Networks for Short-Packet URLLCs: Performance analysis and Optimization

TechRxiv

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TechRxiv 2021年

作者： Linh, Nguyen Thi Yen Tu, Ngo Hoang Son, Pham Ngoc Bao, Vo Nguyen Quoc Department of Electrical and Electronic Engineering Ho Chi Minh City University of Technology and Education Ho Chi Minh City710372 Viet Nam Wireless Communications Laboratory Post and Telecommunications Institute of Technology Ho Chi Minh City710372 Viet Nam Department of Smart Energy Systems Seoul National University of Science and Technology Seoul01811 Korea Republic of Department of Computer Engineering Ho Chi Minh City University of Transport Ho Chi Minh City710372 Viet Nam Department of Electrical and Electronic Engineering Ho Chi Minh City University of Technology and Education Ho Chi Minh City710372 Viet Nam Wireless Communications Department Posts and Telecommunications Institute of Technology Ho Chi Minh City710372 Viet Nam

This paper investigates short-packet communications for the dual-hop decode-and-forward relaying system to facilitate ultra-reliable and low-latency communications. In this system, based on the transmit antenna selection and partial relay selection techniques, a selected relay having the highest received signal-to-noise ratio (SNR) serves as a forwarder to support the unavailable direct link between the source and destination, whereas a maximum ratio combining technique is leveraged at the destination to achieve the highest diversity gain. Approximated expressions of end-to-end (e2e) block error rates (BLERs) are derived over quasi-static Rayleigh fading channels and the finite-blocklength regime. To gain more insights about the performance behavior in the high-SNR regime, we provide the asymptotic analysis with two approaches, from which the qualitative conclusion based on the diversity order is made. Furthermore, the power allocation and relay location optimization problems are also considered to minimize the asymptotic e2e BLER under the configuration constraints. Our analysis is verified through Monte-Carlo simulations, which yield the system parameters’ impact on the system performance. © 2021, CC BY.

关键词： Signal to noise ratio

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Significance of the nonlocal optical response of metal nanoparticles in describing the operation of plasmonic lasers

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Physical Review B 2019年第11期99卷 115405-115405页

作者： Dasuni Lelwala Gamacharige Sarath D. Gunapala Mark I. Stockman Malin Premaratne Advanced Computing and Simulation Laboratory (AχL) Department of Electrical and Computer Systems Engineering Monash University Clayton Victoria 3800 Australia Jet Propulsion Laboratory California Institute of Technology Pasadena California 91109 USA Department of Physics and Astronomy Georgia State University Atlanta Georgia 30303 USA

A metal nanoparticle (MNP) coupled to a quantum emitter (QE) is a versatile composite nanostructure with unique chemical and physical properties which has been studied intensively, owing to its vast range of promising applications in nanoscience and nanotechnology. When pumped into a higher gain level, an MNP-QE composite nanostructure functions as a nanoplasmonic counterpart of a conventional laser, which is capable of operating at subwavelengths. The theory of plasmonic lasers is hitherto developed on the local optical response of the MNP, disregarding the nanoscale effects of its free electrons. In this paper, we perform a comprehensive quantum mechanical analysis of a complex MNP-QE composite nanostructure, capturing the size-dependent nonclassical effects through the nonlocal optical response of the MNP. Our study reveals that the nonlocal correction introduces significant deviations to the plasmon statistics of the hybrid particle suggested by the local calculations, becoming more prominent when the number of QEs coupled to the MNP increases. Furthermore, for the typical material parameter values used in the literature, we observed the initiation of quenching effects at lower pumping rates than suggested by the local response formalism. In essence, nonlocally assessed plasmon statistics of MNP-QE composite nanostructures demand the concerted coupling of an even higher number of QEs to compensate the deterioration in coherence and to sustain lasing.

关键词： Hybrid quantum systems Plasmonics Nanoparticles

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Exploring Social Media Data for MOOC Recommendation

Exploring Social Media Data for MOOC Recommendation

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International Conference on systems of Collaboration (SysCo)

作者： Sara Assami Najima Daoudi Rachida Ajhoun Department of Computer Science Smart Systems Laboratory Mohammed Vth University Rabat Morocco Department of Data and Knowledge Engineering Information Sciences School (ESI) Rabat Morocco

ISBN: (数字)9781728142166

ISBN: (纸本)9781728142173

MOOCs (Massive Open Online Courses) are a key tool for open education stakeholders and high-level universities to face the problem of limited resources and make education accessible worldwide. Our study relies on the hypothesis of the influence of learning adaptation on the learners' lack of motivation in MOOCs. In this sense, a recommendation approach could stimulate the learner's interest in specific MOOCs. In previous research, we have identified the recommendation criteria to recommend MOOCs adapted to the learner's needs and motivations. Then, we modeled the ontology of the learning actors' profiles for the matching of the characteristics of learners with adapted MOOCs. Afterward, we designed the functional architecture and use cases of a semantic recommendation system to stimulate learners' interest in MOOCs. However, the recommendation process is still hindered by the learner profile on these platforms that doesn't represent the learner's interests and motivations. Yet, social media profiles extraction can be an external data source for learners' profile enrichment. So, the purpose of this research is to use social media mining for the acquisition of personal and professional data about learners. Therefore, we apply the first phases of data mining on a social media dataset to explore the potentially meaningful data for MOOC recommendation.

关键词： Social networking (online) Data mining Educational courses Recommender systems computer aided instruction

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Measuring Safety Critical Latency Sources using Linux Kernel eBPF Tracing

Measuring Safety Critical Latency Sources using Linux Kernel...

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ARCS Workshop 2019;32nd International Conference on Architecture of Computing systems

作者： Ludwig Thomeczek Andreas Attenberger Johannes Kolb Vaclav Matousek Juergen Mottok Corporate S&T Software Continental Automotive GmbH Department of Computer Science and Engineering University of West Bohemia Laboratory for Safe and Secure Systems OTH Regensburg

ISBN: (纸本)9783800749577

With the advent of new, ever more complex requirements for the automotive industry and its suppliers (mainly arising due to a demand for fully autonomous driving), a gradual shift from the established software architecture and hardware on to complex multi-core embedded microprocessors and complex (POSIX-compatible) operating systems is happening. As a highly competitive sector, the pressure to reduce manufacturing costs and part count additionally forces a consolidation of more functions into one single, higher performance embedded computing unit(often from different suppliers and with different base system requirements), while still requiring state-of-the-art functional safety and certification (ASIL, ISO26262). As a direct consequence, a coexistence of (soft-)real-time components and lower priority software on the same hardware leads to a mixedcriticality system. The latencies achievable in this system directly influence the safety, and two OS-related sources of latencies in a sample automotive framework architecture will be quantified using bpftrace, a Linux Kernel tracing solution. For one of the latencies, a separate validation using A/B tests will be performed, and we can show the reliability and low overhead of bpftrace for latency tests in the kernel.

关键词： Real-time Automotive BPF Safety Embedded Vehicle Operating systems Linux Security Tracing Preempt_RT Latency Latency Linux Operating systems automotive engineering embedding Band-pass filters safety vehicle Consumer safety Seeds Trace Security

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