Liquid Metal Antennas: Materials, Fabrication and Applications

This work reviews design aspects of liquid metal antennas and their corresponding applications. In the age of modern wireless communication technologies, adaptability and versatility have become highly attractive features of any communication device. Compared to traditional conductors like copper, the flow property and lack of elasticity limit of conductive fluids, makes them an ideal alternative for applications demanding mechanically flexible antennas. These fluidic properties also allow innovative antenna fabrication techniques like 3D printing, injecting, or spraying the conductive fluid on rigid/flexible substrates. Such fluids can also be easily manipulated to implement reconfigurability in liquid antennas using methods like micro pumping or electrochemically controlled capillary action as compared to traditional approaches like high-frequency switching. In this work, we discuss attributes of widely used conductive fluids, their novel patterning/fabrication techniques, and their corresponding state-of-the-art applications.

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Advances in the Application of Machine Learning Techniques for Power System Analytics: A Survey

Energies ◽

10.3390/en14164776 ◽

2021 ◽

Vol 14 (16) ◽

pp. 4776

Author(s):

Seyed Mahdi Miraftabzadeh ◽

Michela Longo ◽

Federica Foiadelli ◽

Marco Pasetti ◽

Raul Igual

Keyword(s):

Machine Learning ◽

Power Systems ◽

Smart Grids ◽

State Of The Art ◽

Smart Cities ◽

Power Grids ◽

Machine Learning Techniques ◽

Learning Techniques ◽

New Research ◽

Traditional Approaches

The recent advances in computing technologies and the increasing availability of large amounts of data in smart grids and smart cities are generating new research opportunities in the application of Machine Learning (ML) for improving the observability and efficiency of modern power grids. However, as the number and diversity of ML techniques increase, questions arise about their performance and applicability, and on the most suitable ML method depending on the specific application. Trying to answer these questions, this manuscript presents a systematic review of the state-of-the-art studies implementing ML techniques in the context of power systems, with a specific focus on the analysis of power flows, power quality, photovoltaic systems, intelligent transportation, and load forecasting. The survey investigates, for each of the selected topics, the most recent and promising ML techniques proposed by the literature, by highlighting their main characteristics and relevant results. The review revealed that, when compared to traditional approaches, ML algorithms can handle massive quantities of data with high dimensionality, by allowing the identification of hidden characteristics of (even) complex systems. In particular, even though very different techniques can be used for each application, hybrid models generally show better performances when compared to single ML-based models.

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Sub-THz and THz SiGe HBT Electrical Compact Modeling

Electronics ◽

10.3390/electronics10121397 ◽

2021 ◽

Vol 10 (12) ◽

pp. 1397

Author(s):

Bishwadeep Saha ◽

Sebastien Fregonese ◽

Anjan Chakravorty ◽

Soumya Ranjan Panda ◽

Thomas Zimmer

Keyword(s):

Heterojunction Bipolar Transistors ◽

Silicon Germanium ◽

High Frequency ◽

State Of The Art ◽

Sensitivity Study ◽

Compact Modeling ◽

Process Technology ◽

Very High Frequency ◽

Sige Hbt ◽

Frequency Behavior

From the perspectives of characterized data, calibrated TCAD simulations and compact modeling, we present a deeper investigation of the very high frequency behavior of state-of-the-art sub-THz silicon germanium heterojunction bipolar transistors (SiGe HBTs) fabricated with 55-nm BiCMOS process technology from STMicroelectronics. The TCAD simulation platform is appropriately calibrated with the measurements in order to aid the extraction of a few selected high-frequency (HF) parameters of the state-of-the-art compact model HICUM, which are otherwise difficult to extract from traditionally prepared test-structures. Physics-based strategies of extracting the HF parameters are elaborately presented followed by a sensitivity study to see the effects of the variations of HF parameters on certain frequency-dependent characteristics until 500 GHz. Finally, the deployed HICUM model is evaluated against the measured s-parameters of the investigated SiGe HBT until 500 GHz.

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Treatment of infant leukemias: challenge and promise

Hematology ◽

10.1182/asheducation-2013.1.596 ◽

2013 ◽

Vol 2013 (1) ◽

pp. 596-600 ◽

Cited By ~ 26

Author(s):

Patrick Brown

Keyword(s):

High Frequency ◽

Clinical Presentation ◽

State Of The Art ◽

Poor Response ◽

Cooperative Groups ◽

Therapeutic Approaches ◽

Unique Biology ◽

Current Therapies ◽

Epidemiologic Features ◽

Infant Leukemia

Abstract Leukemia in infants is rare but generates tremendous interest due to its aggressive clinical presentation in a uniquely vulnerable host, its poor response to current therapies, and its unique biology that is increasingly pointing the way toward novel therapeutic approaches. This review highlights the key clinical, pathologic, and epidemiologic features of infant leukemia, including the high frequency of mixed lineage leukemia (MLL) gene rearrangements. The state of the art with regard to current approaches to risk stratified treatment of infant leukemia in the major international cooperative groups is discussed. Finally, exciting recent discoveries elucidating the molecular biology of infant leukemia are reviewed and novel targeted therapeutic strategies, including FLT3 inhibition and modulation of aberrant epigenetic programs, are suggested.

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WSN: High frequency noise in advanced silicon-based devices: from basics to state-of-the-art device and circuit performance

2004 IEEE MTT-S International Microwave Symposium Digest (IEEE Cat. No.04CH37535) ◽

10.1109/mwsym.2004.1335934 ◽

2005 ◽

Author(s):

F. Danneville ◽

L. Boglione

Keyword(s):

High Frequency ◽

State Of The Art ◽

Frequency Noise ◽

Circuit Performance ◽

High Frequency Noise ◽

Silicon Based

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Research Insights: Can Low-Cost Communication Technologies Bridge Information Gaps between Schools and Parents?

10.18235/0003737 ◽

2021 ◽

Author(s):

Samuel Berlinski ◽

Matías Busso ◽

Taryn Dinkelman ◽

Claudia Martínez

Keyword(s):

At Risk ◽

Standard Deviation ◽

High Frequency ◽

Low Cost ◽

At Risk Students ◽

Communication Technologies ◽

Text Messages ◽

School Absenteeism ◽

School Behavior ◽

Percentage Points

We document large gaps between parents knowledge and school reports of students attendance and grades. Sending frequent text messages with information on attendance, grades and school behavior shrinks those gaps. Parents of at-risk students adjust their understanding of their children's performance to the greatest degree. High-frequency text messages had positive impacts on grades and attendance. Math GPA increased 0.08 of a standard deviation; the probability of earning a passing grade in math increased by 2.7 percentage points (relative to a mean of 90 percent). The intervention also reduced school absenteeism by 1 percentage point and increased the share of students who met attendance requirements for grade promotion by 4.5 percentage points.

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Accelerating Mobile-Cloud Computing

Cloud Technology ◽

10.4018/978-1-4666-6539-2.ch090 ◽

2015 ◽

pp. 1933-1955

Author(s):

Tolga Soyata ◽

He Ba ◽

Wendi Heinzelman ◽

Minseok Kwon ◽

Jiye Shi

Keyword(s):

Cloud Computing ◽

Mobile Devices ◽

High Speed ◽

Mobile Cloud Computing ◽

Response Times ◽

State Of The Art ◽

The State ◽

Mobile Cloud ◽

Computational Resources ◽

Traditional Approaches

With the recent advances in cloud computing and the capabilities of mobile devices, the state-of-the-art of mobile computing is at an inflection point, where compute-intensive applications can now run on today's mobile devices with limited computational capabilities. This is achieved by using the communications capabilities of mobile devices to establish high-speed connections to vast computational resources located in the cloud. While the execution scheme based on this mobile-cloud collaboration opens the door to many applications that can tolerate response times on the order of seconds and minutes, it proves to be an inadequate platform for running applications demanding real-time response within a fraction of a second. In this chapter, the authors describe the state-of-the-art in mobile-cloud computing as well as the challenges faced by traditional approaches in terms of their latency and energy efficiency. They also introduce the use of cloudlets as an approach for extending the utility of mobile-cloud computing by providing compute and storage resources accessible at the edge of the network, both for end processing of applications as well as for managing the distribution of applications to other distributed compute resources.

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