Larry Carley | Carnegie Mellon University (original) (raw)

Papers by Larry Carley

Research paper thumbnail of Dynamic Network Analytics

Proceedings of the 24th Annual International Conference on Mobile Computing and Networking

Network analytics are widely used in many fields. Increasingly though, the networks of interest a... more Network analytics are widely used in many fields. Increasingly though, the networks of interest are high dimensional. Rather than just focusing on the traditional who is interaction with whom networks, modern network analysis examines the who, what, where, when and why ecology of relations. For example, studies of organizations might look at the social network within the organization as well as the task assignment and knowledge network. Studies using Twitter frequently look at the mentions network at the same time as the hashtag network. Making network science actionable typically involves answering questions about where the network is concentrated or how the network varies over time. This tutorial will cover the basics of Network analytics and demonstrate the use of ORA to support social media analytics using high dimensional network analytics and visualization for social media networks, semantic networks, geo-spatial networks, and dynamic networks. It will cover the basics of visualizing and analyzing time varying networks and spatially positioned networks. ORA is a powerful network analysis and visualization tool (Carley, 2017). ORA supports the assessment of standard social network data, organizational network data, highdimensional network data, meta-network data, geo-spatial network data, and dynamic network data.

Research paper thumbnail of Neurophysiology

Contains reports on twenty research projects.Bell Laboratories (Grant)National Institutes of Heal... more Contains reports on twenty research projects.Bell Laboratories (Grant)National Institutes of Health (Grant 5 R01 EY01149-03S2)National Institutes of Health (Grant 5 TO1 EY00090-04)National Institutes of Health (Grant 5 RO1 NS12307-03)National Institutes of Health (Grant K04 NS00010)National Multiple Sclerosis Society (Grant RG-1133-A-1)Health Sciences Fund (Grant 78-10

Research paper thumbnail of Real Time Network Assessment

: Network analytic tools are valuable in a large number of situations of relevance to the Navy. T... more : Network analytic tools are valuable in a large number of situations of relevance to the Navy. These include support for littoral activity, MISO operations, HA/DR missions, intelligence and targeting activities. While network tools have advanced greatly, they are still relatively unused in real time situations even though real time network assessment is key to information dominance. From an operational perspective the current technology is limited in that the behavior cannot be observed and characterized in real time; and, even when it can be observed, most analysts have little guidance to help them realize what they are seeing. Analysts need the ability to assess and reason about tactics and behavior using network analytics applied to evolving and real time data for complex situations. This requires not just real time data and visual analytics but also it requires that the analysts are able to understand how to interpret network metrics, and when given temporal data, how to identi...

Research paper thumbnail of Dual-Band, Two-Layer Millimeter-Wave Transceiver for Hybrid MIMO Systems

IEEE Journal of Solid-State Circuits, 2021

This article presents a two-layer low-complexity fully connected (FC) RF/analog weighting multi-i... more This article presents a two-layer low-complexity fully connected (FC) RF/analog weighting multi-input–multi-output (MIMO) transceiver comprising an RF weight layer and an analog–baseband weight layer. The transceiver can serve as a small-scale MIMO system by itself and can serve as the building block in a larger hybrid MIMO system. The architecture mitigates the complexity versus spectral-efficiency tradeoffs of existing MIMO architectures and enables MIMO stream/user scalability, superior energy efficiency, and spatial-processing flexibility. A compact, reconfigurable bidirectional circuit architecture is introduced, including a new Cartesian-combining/splitting beamforming receiver/transmitter, dual-band bidirectional beamforming network, dual-band frequency translation chains, and baseband Cartesian beamforming with an improved programmable gain amplifier design. A 28-/37-GHz band, two-layer, eight-element, four-stream hybrid MIMO transceiver prototype is designed in 65-nm CMOS to demonstrate the above features. The prototype achieves accurate beam/null-steering capability, excellent area/power efficiency, and state-of-the-art TX/RX mode performance in two simultaneous bands while demonstrating multi-antenna (up to eight) multi-stream (up to four) over-the-air spatial multiplexing operation using the proposed energy-efficient two-layer hybrid beamforming scheme.

Research paper thumbnail of A Socio-Computational Approach to Predicting Bioweapon Proliferation

IEEE Transactions on Computational Social Systems, 2018

Predicting countries that will seek bioweapons (BW) enables the international community to act ea... more Predicting countries that will seek bioweapons (BW) enables the international community to act early in order to prevent these countries from acquiring such weapons. Unfortunately, the literature on countries' BW programs mainly consists of case studies that focus on one or a few countries. Although case studies are valuable, they are typically not predictive. Moreover, case studies require substantial effort and expertise, and are thus unfeasible for all countries. In this paper, we develop a computational methodology that predicts countries that will seek BW. Our methodology consists of a sociocultural model and indicators that computationally capture expert opinions about why and how countries acquire BW. Our methodology systematically examines all countries in the world and can be used by non-BW experts based on publicly available data. We validate our methodology by examining the methodology's ability to predict historical BW proliferators.

Research paper thumbnail of Smart De-Identification of Social Media Data

The public reporting burden for this collection of information is estimated to average 1 hour per... more The public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing the burden, to Department of Defense, Washington Headquarters Services, Directorate for Information Operations and Reports (0704-0188),

Research paper thumbnail of Synthesis of Power Distribution to Manage Signal Integrity in Mixed-Signal ICs

Research paper thumbnail of Chip-to-chip RF Communications and Power Delivery via On-chip Antennas

Proceedings of the 24th Annual International Conference on Mobile Computing and Networking, 2018

This tutorial provides students with a basic understanding of the challenges involved in designin... more This tutorial provides students with a basic understanding of the challenges involved in designing RF-powered RF-connected integrated circuits (ICs) with on-chip antennas (OCAs). The tutorial begins by discussing the potential cost and performance advantages of creating ICs with OCAs. The design of ICs in which the antenna and conventional circuitry are all fabricated on the same substrate offers advantages in terms of size, weight and cost over conventional RFID/sensor systems in which an IC is assembled onto an antenna substrate; however, it is challenging because the limited size of the antenna set by the die size and its proximity to a resistive ground plane (the IC substrate) both decrease the RF energy that can be harvested to operate the on-chip circuitry. In this Tutorial, we will apply simplifying approximations in order to develop basic equations relating the size and geometry of the antennas to the ability of the OCA-IC to harvest ambient RF energy; and, we will validate those equations with electromagnetic field simulations. The tutorial will also examine the challenging issue of matching the antenna to the on-chip electronics in a way that maximizes the power that can be extracted from an external RF signal. The Tutorial will consider operation across a range of frequencies and will explore both in-plane spiral antennas and out-of-plane helical antennas. The Tutorial will conclude with an analysis of the case when an OCA-ICs is integrated into medicines in order to provide secure validation of medicinal pills and capsules.

Research paper thumbnail of Dynamic Network Analytics

Proceedings of the 24th Annual International Conference on Mobile Computing and Networking

Network analytics are widely used in many fields. Increasingly though, the networks of interest a... more Network analytics are widely used in many fields. Increasingly though, the networks of interest are high dimensional. Rather than just focusing on the traditional who is interaction with whom networks, modern network analysis examines the who, what, where, when and why ecology of relations. For example, studies of organizations might look at the social network within the organization as well as the task assignment and knowledge network. Studies using Twitter frequently look at the mentions network at the same time as the hashtag network. Making network science actionable typically involves answering questions about where the network is concentrated or how the network varies over time. This tutorial will cover the basics of Network analytics and demonstrate the use of ORA to support social media analytics using high dimensional network analytics and visualization for social media networks, semantic networks, geo-spatial networks, and dynamic networks. It will cover the basics of visualizing and analyzing time varying networks and spatially positioned networks. ORA is a powerful network analysis and visualization tool (Carley, 2017). ORA supports the assessment of standard social network data, organizational network data, highdimensional network data, meta-network data, geo-spatial network data, and dynamic network data.

Research paper thumbnail of Neurophysiology

Contains reports on twenty research projects.Bell Laboratories (Grant)National Institutes of Heal... more Contains reports on twenty research projects.Bell Laboratories (Grant)National Institutes of Health (Grant 5 R01 EY01149-03S2)National Institutes of Health (Grant 5 TO1 EY00090-04)National Institutes of Health (Grant 5 RO1 NS12307-03)National Institutes of Health (Grant K04 NS00010)National Multiple Sclerosis Society (Grant RG-1133-A-1)Health Sciences Fund (Grant 78-10

Research paper thumbnail of Real Time Network Assessment

: Network analytic tools are valuable in a large number of situations of relevance to the Navy. T... more : Network analytic tools are valuable in a large number of situations of relevance to the Navy. These include support for littoral activity, MISO operations, HA/DR missions, intelligence and targeting activities. While network tools have advanced greatly, they are still relatively unused in real time situations even though real time network assessment is key to information dominance. From an operational perspective the current technology is limited in that the behavior cannot be observed and characterized in real time; and, even when it can be observed, most analysts have little guidance to help them realize what they are seeing. Analysts need the ability to assess and reason about tactics and behavior using network analytics applied to evolving and real time data for complex situations. This requires not just real time data and visual analytics but also it requires that the analysts are able to understand how to interpret network metrics, and when given temporal data, how to identi...

Research paper thumbnail of Dual-Band, Two-Layer Millimeter-Wave Transceiver for Hybrid MIMO Systems

IEEE Journal of Solid-State Circuits, 2021

This article presents a two-layer low-complexity fully connected (FC) RF/analog weighting multi-i... more This article presents a two-layer low-complexity fully connected (FC) RF/analog weighting multi-input–multi-output (MIMO) transceiver comprising an RF weight layer and an analog–baseband weight layer. The transceiver can serve as a small-scale MIMO system by itself and can serve as the building block in a larger hybrid MIMO system. The architecture mitigates the complexity versus spectral-efficiency tradeoffs of existing MIMO architectures and enables MIMO stream/user scalability, superior energy efficiency, and spatial-processing flexibility. A compact, reconfigurable bidirectional circuit architecture is introduced, including a new Cartesian-combining/splitting beamforming receiver/transmitter, dual-band bidirectional beamforming network, dual-band frequency translation chains, and baseband Cartesian beamforming with an improved programmable gain amplifier design. A 28-/37-GHz band, two-layer, eight-element, four-stream hybrid MIMO transceiver prototype is designed in 65-nm CMOS to demonstrate the above features. The prototype achieves accurate beam/null-steering capability, excellent area/power efficiency, and state-of-the-art TX/RX mode performance in two simultaneous bands while demonstrating multi-antenna (up to eight) multi-stream (up to four) over-the-air spatial multiplexing operation using the proposed energy-efficient two-layer hybrid beamforming scheme.

Research paper thumbnail of A Socio-Computational Approach to Predicting Bioweapon Proliferation

IEEE Transactions on Computational Social Systems, 2018

Predicting countries that will seek bioweapons (BW) enables the international community to act ea... more Predicting countries that will seek bioweapons (BW) enables the international community to act early in order to prevent these countries from acquiring such weapons. Unfortunately, the literature on countries' BW programs mainly consists of case studies that focus on one or a few countries. Although case studies are valuable, they are typically not predictive. Moreover, case studies require substantial effort and expertise, and are thus unfeasible for all countries. In this paper, we develop a computational methodology that predicts countries that will seek BW. Our methodology consists of a sociocultural model and indicators that computationally capture expert opinions about why and how countries acquire BW. Our methodology systematically examines all countries in the world and can be used by non-BW experts based on publicly available data. We validate our methodology by examining the methodology's ability to predict historical BW proliferators.

Research paper thumbnail of Smart De-Identification of Social Media Data

The public reporting burden for this collection of information is estimated to average 1 hour per... more The public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing the burden, to Department of Defense, Washington Headquarters Services, Directorate for Information Operations and Reports (0704-0188),

Research paper thumbnail of Synthesis of Power Distribution to Manage Signal Integrity in Mixed-Signal ICs

Research paper thumbnail of Chip-to-chip RF Communications and Power Delivery via On-chip Antennas

Proceedings of the 24th Annual International Conference on Mobile Computing and Networking, 2018

This tutorial provides students with a basic understanding of the challenges involved in designin... more This tutorial provides students with a basic understanding of the challenges involved in designing RF-powered RF-connected integrated circuits (ICs) with on-chip antennas (OCAs). The tutorial begins by discussing the potential cost and performance advantages of creating ICs with OCAs. The design of ICs in which the antenna and conventional circuitry are all fabricated on the same substrate offers advantages in terms of size, weight and cost over conventional RFID/sensor systems in which an IC is assembled onto an antenna substrate; however, it is challenging because the limited size of the antenna set by the die size and its proximity to a resistive ground plane (the IC substrate) both decrease the RF energy that can be harvested to operate the on-chip circuitry. In this Tutorial, we will apply simplifying approximations in order to develop basic equations relating the size and geometry of the antennas to the ability of the OCA-IC to harvest ambient RF energy; and, we will validate those equations with electromagnetic field simulations. The tutorial will also examine the challenging issue of matching the antenna to the on-chip electronics in a way that maximizes the power that can be extracted from an external RF signal. The Tutorial will consider operation across a range of frequencies and will explore both in-plane spiral antennas and out-of-plane helical antennas. The Tutorial will conclude with an analysis of the case when an OCA-ICs is integrated into medicines in order to provide secure validation of medicinal pills and capsules.