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Game Theoretical Approach For Non-Overlapping Community Detection, Baohua Sun, Richard Al-Bayaty, Qiuyuan Huang, Dapeng Wu 2021 Department of Electrical and Computer Engineering, University of Florida, Gainesville, FL 32611, USA

Game Theoretical Approach For Non-Overlapping Community Detection, Baohua Sun, Richard Al-Bayaty, Qiuyuan Huang, Dapeng Wu

Tsinghua Science and Technology

Graph clustering, i.e., partitioning nodes or data points into non-overlapping clusters, can be beneficial in a large varieties of computer vision and machine learning applications. However, main graph clustering schemes, such as spectral clustering, cannot be applied to a large network due to prohibitive computational complexity required. While there exist methods applicable to large networks, these methods do not offer convincing comparisons against known ground truth. For the first time, this work conducts clustering algorithm performance evaluations on large networks (consisting of one million nodes) with ground truth information. Ideas and concepts from game theory are applied towards graph ...


Inertial Motion Tracking On Mobile And Wearable Devices: Recent Advancements And Challenges, Zhipeng Song, Zhichao Cao, Zhenjiang Li, Jiliang Wang, Yunhao Liu 2021 School of Software, Tsinghua University, Beijing 100084, China

Inertial Motion Tracking On Mobile And Wearable Devices: Recent Advancements And Challenges, Zhipeng Song, Zhichao Cao, Zhenjiang Li, Jiliang Wang, Yunhao Liu

Tsinghua Science and Technology

Motion tracking via Inertial Measurement Units (IMUs) on mobile and wearable devices has attracted significant interest in recent years. High-accuracy IMU-tracking can be applied in various applications, such as indoor navigation, gesture recognition, text input, etc. Many efforts have been devoted to improving IMU-based motion tracking in the last two decades, from early calibration techniques on ships or airplanes, to recent arm motion models used on wearable smart devices. In this paper, we present a comprehensive survey on IMU-tracking techniques on mobile and wearable devices. We also reveal the key challenges in IMU-based motion tracking on mobile and wearable devices ...


Deep Reinforcement Learning Based Mobile Robot Navigation: A Review, Kai Zhu, Tao Zhang 2021 Department of Automation, Tsinghua University, Beijing 100084, China

Deep Reinforcement Learning Based Mobile Robot Navigation: A Review, Kai Zhu, Tao Zhang

Tsinghua Science and Technology

Navigation is a fundamental problem of mobile robots, for which Deep Reinforcement Learning (DRL) has received significant attention because of its strong representation and experience learning abilities. There is a growing trend of applying DRL to mobile robot navigation. In this paper, we review DRL methods and DRL-based navigation frameworks. Then we systematically compare and analyze the relationship and differences between four typical application scenarios: local obstacle avoidance, indoor navigation, multi-robot navigation, and social navigation. Next, we describe the development of DRL-based navigation. Last, we discuss the challenges and some possible solutions regarding DRL-based navigation.


Decomposition-Based Multi-Objective Optimization For Energy-Aware Distributed Hybrid Flow Shop Scheduling With Multiprocessor Tasks, Enda Jiang, Ling Wang, Jingjing Wang 2021 Department of Automation, Tsinghua University, Beijing 100084, China

Decomposition-Based Multi-Objective Optimization For Energy-Aware Distributed Hybrid Flow Shop Scheduling With Multiprocessor Tasks, Enda Jiang, Ling Wang, Jingjing Wang

Tsinghua Science and Technology

This paper addresses the Energy-Aware Distributed Hybrid Flow Shop Scheduling Problem with Multiprocessor Tasks (EADHFSPMT) by considering two objectives simultaneously, i.e., makespan and total energy consumption. It consists of three sub-problems, i.e., job assignment between factories, job sequence in each factory, and machine allocation for each job. We present a mixed inter linear programming model and propose a Novel Multi-Objective Evolutionary Algorithm based on Decomposition (NMOEA/D). We specially design a decoding scheme according to the characteristics of the EADHFSPMT. To initialize a population with certain diversity, four different rules are utilized. Moreover, a cooperative search is designed ...


Towards "General Purpose" Brain-Inspired Computing System, Youhui Zhang, Peng Qu, Weimin Zheng 2021 Department of Computer Science and Technology, Tsinghua University, Beijing 100084, China

Towards "General Purpose" Brain-Inspired Computing System, Youhui Zhang, Peng Qu, Weimin Zheng

Tsinghua Science and Technology

Brain-inspired computing refers to computational models, methods, and systems, that are mainly inspired by the processing mode or structure of brain. A recent study proposed the concept of "neuromorphic completeness" and the corresponding system hierarchy, which is helpful to determine the capability boundary of brain-inspired computing system and to judge whether hardware and software of brain-inspired computing are compatible with each other. As a position paper, this article analyzes the existing brain-inspired chips’ design characteristics and the current so-called "general purpose" application development frameworks for brain-inspired computing, as well as introduces the background and the potential of this proposal. Further ...


Distributed Scheduling Problems In Intelligent Manufacturing Systems, Yaping Fu, Yushuang Hou, Zifan Wang, Xinwei Wu, Kaizhou Gao, Ling Wang 2021 College of Business, Qingdao University, Qingdao 266071, China

Distributed Scheduling Problems In Intelligent Manufacturing Systems, Yaping Fu, Yushuang Hou, Zifan Wang, Xinwei Wu, Kaizhou Gao, Ling Wang

Tsinghua Science and Technology

Currently, manufacturing enterprises face increasingly fierce market competition due to the various demands of customers and the rapid development of economic globalization. Hence, they have to extend their production mode into distributed environments and establish multiple factories in various geographical locations. Nowadays, distributed manufacturing systems have been widely adopted in industrial production processes. In recent years, many studies have been done on the modeling and optimization of distributed scheduling problems. This work provides a literature review on distributed scheduling problems in intelligent manufacturing systems. By summarizing and evaluating existing studies on distributed scheduling problems, we analyze the achievements and current ...


Multi-Agent Modeling And Simulation In The Ai Age, Wenhui Fan, Peiyu Chen, Daiming Shi, Xudong Guo, Li Kou 2021 Department of Automation, Tsinghua University, Beijing 100084, China

Multi-Agent Modeling And Simulation In The Ai Age, Wenhui Fan, Peiyu Chen, Daiming Shi, Xudong Guo, Li Kou

Tsinghua Science and Technology

With the rapid development of artificial intelligence (AI) technology and its successful application in various fields, modeling and simulation technology, especially multi-agent modeling and simulation (MAMS), of complex systems has rapidly advanced. In this study, we first describe the concept, technical advantages, research steps, and research status of MAMS. Then we review the development status of the hybrid modeling and simulation combining multi-agent and system dynamics, the modeling and simulation of multi-agent reinforcement learning, and the modeling and simulation of large-scale multi-agent. Lastly, we introduce existing MAMS platforms and their comparative studies. This work summarizes the current research situation of ...


Convergence Of Broadband And Broadcast/Multicast In Maritime Information Networks, Jun Du, Jian Song, Yong Ren, Jintao Wang 2021 Department of Electronic Engineering, Tsinghua University, Beijing 100084, China

Convergence Of Broadband And Broadcast/Multicast In Maritime Information Networks, Jun Du, Jian Song, Yong Ren, Jintao Wang

Tsinghua Science and Technology

Recently, the fifth-generation (5G) of wireless networks mainly focuses on the terrestrial applications. However, the well-developed emerging technologies in 5G are hardly applied to the maritime communications, resulting from the lack of communication infrastructure deployed on the vast ocean, as well as different characteristics of wireless propagation environment over the sea and maritime user distribution. To satisfy the expected plethora of broadband communications and multimedia applications on the ocean, a brand-new maritime information network with a comprehensive coverage capacity in terms of all-hour, all-weather, and all-sea-area has been expected as a revolutionary paradigm to extend the terrestrial capacity of enhanced ...


Ambipolar Transport Compact Models For Two-Dimensional Materials Based Field-Effect Transistors, Zhaoyi Yan, Guangyang Gou, Jie Ren, Fan Wu, Yang Shen, He Tian, Yi Yang 2021 Institute of Microelectronics, Tsinghua University, Beijing 100084, China

Ambipolar Transport Compact Models For Two-Dimensional Materials Based Field-Effect Transistors, Zhaoyi Yan, Guangyang Gou, Jie Ren, Fan Wu, Yang Shen, He Tian, Yi Yang

Tsinghua Science and Technology

Three main ambipolar compact models for Two-Dimensional (2D) materials based Field-Effect Transistors (2D-FETs) are reviewed: (1) Landauer model, (2) 2D Pao-Sah model, and (3) virtual Source Emission-Diffusion (VSED) model. For the Landauer model, the Gauss quadrature method is applied, and it summarizes all kinds of variants, exhibiting its state-of-art. For the 2D Pao-Sah model, the aspects of its theoretical fundamentals are rederived, and the electrostatic potentials of electrons and holes are clarified. A brief development history is compiled for the VSED model. In summary, the Landauer model is naturally appropriate for the ballistic transport of short channels, and the 2D ...


Design And Tool Flow Of A Reconfigurable Asynchronous Neural Network Accelerator, Jilin Zhang, Hui Wu, Weijia Chen, Shaojun Wei, Hong Chen 2021 Institute of Microelectronics, Tsinghua National Laboratory for Information Science and Technology, and Beijing Engineering Center of Technology and research on Wireless Medical and Health System, Tsinghua University, Beijing 100084, China

Design And Tool Flow Of A Reconfigurable Asynchronous Neural Network Accelerator, Jilin Zhang, Hui Wu, Weijia Chen, Shaojun Wei, Hong Chen

Tsinghua Science and Technology

Convolutional Neural Networks (CNNs) are widely used in computer vision, natural language processing, and so on, which generally require low power and high efficiency in real applications. Thus, energy efficiency has become a critical indicator of CNN accelerators. Considering that asynchronous circuits have the advantages of low power consumption, high speed, and no clock distribution problems, we design and implement an energy-efficient asynchronous CNN accelerator with a 65 nm Complementary Metal Oxide Semiconductor (CMOS) process. Given the absence of a commercial design tool flow for asynchronous circuits, we develop a novel design flow to implement Click-based asynchronous bundled data circuits ...


Bird-Safe Buildings Act: Ready To Take Flight, Kerry Sean Cooney 2021 William & Mary Law School

Bird-Safe Buildings Act: Ready To Take Flight, Kerry Sean Cooney

William & Mary Environmental Law and Policy Review

No abstract provided.


Integrated Estuary Governance, Mary Jane Angelo, J.W. Glass 2021 William & Mary Law School

Integrated Estuary Governance, Mary Jane Angelo, J.W. Glass

William & Mary Environmental Law and Policy Review

Estuaries are complex, dynamic ecosystems that play a critical role in supporting crucial economic industries, such as commercial fishing and tourism, and providing the resources necessary to sustain coastal communities. A range of anthropogenic environmental stressors are threatening the health of estuaries throughout the world. Traditional top-down single resource focused environmental regulatory approaches have proved inadequate to protect and restore estuarine systems. In recent years, scientific and legal academics, as well as policymakers, have called for more holistic participatory approaches to addressing environmental challenges. Drawing on the literature on ecosystem management, integrated water resources management, collaborative governance, and adaptive management ...


A "Directed Trust" Approach To Intergenerational Solidarity In American Environmental Law And Policy: A Modest Proposal, Lucia A. Silecchia 2021 William & Mary Law School

A "Directed Trust" Approach To Intergenerational Solidarity In American Environmental Law And Policy: A Modest Proposal, Lucia A. Silecchia

William & Mary Environmental Law and Policy Review

No abstract provided.


The Effect Of N‐Fertilization On Fatty Acid Composition In Forage Plants, Katarina Arvidsson, Anne-Maj Gustavsson, Kjell Martinsson 2021 Swedish University of Agricultural Sciences, Sweden

The Effect Of N‐Fertilization On Fatty Acid Composition In Forage Plants, Katarina Arvidsson, Anne-Maj Gustavsson, Kjell Martinsson

International Grassland Congress Proceedings

No abstract provided.


The Production And Nutritional Composition Of Forage Sorghum And Hybrid Forage Millet Cultivars As Pasture Crops, A. Swanepoel, Philip R. Botha, H. S. Gerber, Robin Meeske 2021 Western Cape Department of Agriculture, South Africa

The Production And Nutritional Composition Of Forage Sorghum And Hybrid Forage Millet Cultivars As Pasture Crops, A. Swanepoel, Philip R. Botha, H. S. Gerber, Robin Meeske

International Grassland Congress Proceedings

No abstract provided.


Introduction To Assembly Language Programming: From Soup To Nuts: Arm Edition, Charles W. Kann 2021 Gettysburg College

Introduction To Assembly Language Programming: From Soup To Nuts: Arm Edition, Charles W. Kann

Open Textbooks

This is an ARM Assembly Language Textbook designed to be used in classes such as Computer Organization, Operating Systems, Compilers, or any other class that needs to provide the students with a overall of Arm Assembly Language. As with all Soup to Nuts books, it is intended to be a resource where each chapter builds on the material from previous chapters, and leads the reader from a rudimentary knowledge of assembly language to a point where they can use it in their studies.


Investigations Into Effects Of Modified Prolines On Cis-Trans Isomers And Polypeptide Secondary Structure & Prediction Of Spectroscopic Properties Of Phthalonitriles For Characterization, Jeffrey Raab 2021 Seton Hall University

Investigations Into Effects Of Modified Prolines On Cis-Trans Isomers And Polypeptide Secondary Structure & Prediction Of Spectroscopic Properties Of Phthalonitriles For Characterization, Jeffrey Raab

Seton Hall University Dissertations and Theses (ETDs)

Proline is a unique amino acid because it is the only amino acid whose side chain wraps around and bonds back to the peptide backbone. This ring shape helps proteins form conformations which would otherwise not be possible such as hairpin turns. The cis/trans isomerization of the peptide bond between the preceding amino acid (Xaa) and Proline is important in determining how the secondary structure folds. Thus, being able to control the cis/trans isomerization is important when a specific conformation is desired; Proline can be modified to get make the equilibrium shift whichever way is needed. The ...


Cardiovascular Complications Of Systemic Lupus Erythematosus: Impact Of Risk Factors And Therapeutic Efficacy--A Tertiary Centre Experience In An Appalachian State, Elise Danielle McVeigh, Amna Batool, Arnold J. Stromberg, Ahmed K. Abdel-Latif, Nayef Mohammed Kazzaz 2021 University of Kentucky

Cardiovascular Complications Of Systemic Lupus Erythematosus: Impact Of Risk Factors And Therapeutic Efficacy--A Tertiary Centre Experience In An Appalachian State, Elise Danielle Mcveigh, Amna Batool, Arnold J. Stromberg, Ahmed K. Abdel-Latif, Nayef Mohammed Kazzaz

Statistics Faculty Publications

OBJECTIVES: Cardiovascular complications became a notable cause of morbidity and mortality in patients with lupus as therapeutic advancements became more efficient at managing other complications. The Appalachian community in Kentucky has a higher prevalence of traditional cardiovascular risk factors, predisposing them to cardiovascular events. Namely, the mean body mass index of the members of the Kentucky Appalachian community was reported at 33 kg/m2 and 94.3% of male members of this community use tobacco. We sought to identify risk factors that predispose patients with lupus to cardiovascular morbidities and examine the effect of immunomodulatory drugs.

METHODS: We identified ...


In The Loop - Spring 2021 (Full Issue), 2021 DePaul University

In The Loop - Spring 2021 (Full Issue)

In The Loop

No abstract provided.


Silicon Valley 2.0, 2021 DePaul University

Silicon Valley 2.0

In The Loop

The DePaul Innovation Development Lab is a collaborative ecosystem that joins business and academia in mutually beneficial, experimental enterprise. Students work in the techcentric think tank and consultancy that turns business problems into functional, testable software prototypes.


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