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International Analysis On The Traffic Impact Of The Covid-19 Pandemic, Fanny Margaretha Kristiansson 2021 Embry-Riddle Aeronautical University

International Analysis On The Traffic Impact Of The Covid-19 Pandemic, Fanny Margaretha Kristiansson

PhD Dissertations and Master's Theses

The purpose of this research was to assess, compare, and contrast the impact of COVID-19 activity restrictions on road-based transportation activity in regions of the US, Sweden, and China from January 1st to December 31st, 2020. Roadway traffic volumes were used to relate the progression of reported COVID-19 cases and government directives for social separation in three countries with diverse governmental responses.

Among the contributions of this paper was the illustration of the timeline and level of public responses to closures, lockdowns, and reopening as represented through rapid traffic decreases and increases. Traffic was greatly impacted, showing that the pandemic ...


Designing And Testing Of A System For Aerosolization And Recovery Of Viable Porcine Reproductive And Respiratory Syndrome Virus (Prrsv): Theoretical And Engineering Considerations, Peiyang Li, Jacek A. Koziel, Jeffrey J. Zimmerman, Steven J. Hoff, Jianqiang Zhang, Ting-Yu Cheng, Wannarat Yim-Im, Myeongseong Lee, Baitong Chen, William S. Jenks 2021 Iowa State University

Designing And Testing Of A System For Aerosolization And Recovery Of Viable Porcine Reproductive And Respiratory Syndrome Virus (Prrsv): Theoretical And Engineering Considerations, Peiyang Li, Jacek A. Koziel, Jeffrey J. Zimmerman, Steven J. Hoff, Jianqiang Zhang, Ting-Yu Cheng, Wannarat Yim-Im, Myeongseong Lee, Baitong Chen, William S. Jenks

Agricultural and Biosystems Engineering Publications

Porcine reproductive and respiratory syndrome virus (PRRSV) infections cause significant economic losses to swine producers every year. Aerosols containing infectious PRRSV are an important route of transmission, and proper treatment of air could mitigate the airborne spread of the virus within and between barns. Previous bioaerosol studies focused on the microbiology of PRRSV aerosols; thus, the current study addressed the engineering aspects of virus aerosolization and collection. Specific objectives were to (1) build and test a virus aerosolization system, (2) achieve a uniform and repeatable aerosol generation and collection throughout all replicates, (3) identify and minimize sources of variation, and ...


Examination Of The Correlation Between Shear Strength, California Bearing Ratio, And Index Properties Of Fine-Grained Soil, BILLY W. Rushema 2021 Kennesaw State University

Examination Of The Correlation Between Shear Strength, California Bearing Ratio, And Index Properties Of Fine-Grained Soil, Billy W. Rushema

Master of Science in Civil Engineering Theses

Abstract

California Bering Ratio (CBR) is used to evaluate the strength of the pavement materials by comparing bearing capacity of the material with that of a high-quality crushed stone. This test adopted by transportation agencies and widely used in the design and analysis of pavement. Several agencies developed design thickness chart based on the CBR values of the subgrade. However, CBR test is time consuming and expensive to perform compared to shear strength test and therefore several studies have been conducted to establish correlation between shear strength and CBR. The published correlation models between CBR and shear strength of soil ...


Prediction Of Stocks And Stock Price Using Artificial Intelligence : A Bibliometric Study Using Scopus Database, Priyanka Tupe-Waghmare, Priyanka Tupe-Waghmare 2021 Symbiosis International University

Prediction Of Stocks And Stock Price Using Artificial Intelligence : A Bibliometric Study Using Scopus Database, Priyanka Tupe-Waghmare, Priyanka Tupe-Waghmare

Library Philosophy and Practice (e-journal)

Prediction of stocks and the prices of the stock is one of the most crucial points of discussion amongst the researchers and analysts in the financial domain to date. Every stakeholder and most importantly the investor desires to earn higher profit for his investment in the market and try to use several different strategies to invest their money. There are numerous methods to predict and analyse the movement of the stock prices. They are broadly divided into – statistical and artificial intelligence-based methods. Artificial intelligence is used to predict the futuristic prices of stocks and use wide range of algorithms like ...


Exploration Of The Sludge Biodiesel Pathway, Zachary Christman 2021 University of Nebraska - Lincoln

Exploration Of The Sludge Biodiesel Pathway, Zachary Christman

Theses, Dissertations, and Student Research in Agronomy and Horticulture

Wastewater sludge is an overlooked source of fat, oil, and grease (FOG) that could be converted into biodiesel. The United States produces about 8 million tons of sludge per year. The disposal cost for this amount of sludge is about 2 billion dollars. The widespread availability and low cost of sludge compared to other biodiesel raw materials make it an economical choice for a renewable fuel. Using sludge as a raw material can produce 25 to 30 mg per gram of fatty acid methyl ester (FAME); the main component of biodiesel. Sludge biodiesel has the potential of transforming a portion ...


Transient Electronics As Sustainable Systems: From Fundamentals To Applications, Reihaneh Jamshidi, Mehrnoosh Taghavimehr, Yuanfen Chen, Nicole Hashemi, Reza Montazami 2021 University of Hartford

Transient Electronics As Sustainable Systems: From Fundamentals To Applications, Reihaneh Jamshidi, Mehrnoosh Taghavimehr, Yuanfen Chen, Nicole Hashemi, Reza Montazami

Mechanical Engineering Publications

The unique attribute of transient technology is that it promotes the potential for the design and implementation of sustainable systems through their capability to fully or partially disintegrate after a predefined period of stable operation. Transient electronics have a wide range of potential applications as biomedical implants, environmental sensors, and hardware‐secured devices. Controlled disintegration of such systems without the need for harsh solvents is a step toward realizing green and sustainable electronics. In this short review, recent progress in the development of transient electronics is studied. First, an overview of the transient materials, both the substrate and electronic component ...


Device Development For Long-Term Systemic Oral Biologic Drug Delivery, Benjamin Wankum 2021 University of Nebraska-Lincoln

Device Development For Long-Term Systemic Oral Biologic Drug Delivery, Benjamin Wankum

Mechanical (and Materials) Engineering -- Dissertations, Theses, and Student Research

A biologic drug is a drug that is produced by a living organism. Biologic drugs are used to treat various medical conditions such as arthritis, diabetes, or certain forms of cancers due to their high potency and high selectivity of action. Drawbacks of biologics include their poor stability in the gastrointestinal tract and their poor absorption. In effect, this gives the drugs very low bioavailability and short therapeutic half-lives. To combat these obstacles, current delivery methods include subcutaneous injections at home or intravenous or intramuscular injections in a medical facility.

The overall scientific goal of the research was to utilize ...


Pharyngeal Constriction As A Cause For Late Acquisition And Speech Sound Disorders Of Rhotic Sounds In English, Spanish, And French, Connor Mahon 2021 Cleveland State University

Pharyngeal Constriction As A Cause For Late Acquisition And Speech Sound Disorders Of Rhotic Sounds In English, Spanish, And French, Connor Mahon

The Downtown Review

This paper attempts to explain why rhotic sounds are cross-linguistically late developing among the sound inventory of children. Included is a summary of the current literature regarding classification of rhotic sounds, an examination of the articulatory movement of the tongue root, and an overview of the clinical implications on the field of speech-language pathology. The evidence presented supports the hypothesis that pharyngeal constriction is characteristic of rhotic sounds in many languages, and that it is related to the relative late acquisition and higher rate of speech sound disorders, as seen in English, Spanish, and French.


Collaborative City Digital Twin For The Covid-19 Pandemic: A Federated Learning Solution, Junjie Pang, Yan Huang, Zhenzhen Xie, Jianbo Li, Zhipeng Cai 2021 College of Computer Science and Technology, Qingdao University, Qingdao 266000, China;Department of Computer Science, Georgia State University, Atlanta, GA 30303, USA

Collaborative City Digital Twin For The Covid-19 Pandemic: A Federated Learning Solution, Junjie Pang, Yan Huang, Zhenzhen Xie, Jianbo Li, Zhipeng Cai

Tsinghua Science and Technology

The novel coronavirus, COVID-19, has caused a crisis that affects all segments of the population. As the knowledge and understanding of COVID-19 evolve, an appropriate response plan for this pandemic is considered one of the most effective methods for controlling the spread of the virus. Recent studies indicate that a city Digital Twin (DT) is beneficial for tackling this health crisis, because it can construct a virtual replica to simulate factors, such as climate conditions, response policies, and people’s trajectories, to help plan efficient and inclusive decisions. However, a city DTsystem relies on long-term and high-quality data collection to ...


A Data-Driven Clustering Recommendation Method For Single-Cell Rna-Sequencing Data, Yu Tian, Ruiqing Zheng, Zhenlan Liang, Suning Li, Fang-Xiang Wu, Min Li 2021 Hunan Provincial Key Lab on Bioinformatics, School of Computer Science and Engineering, Central South University, Changsha, Hunan 410083, China

A Data-Driven Clustering Recommendation Method For Single-Cell Rna-Sequencing Data, Yu Tian, Ruiqing Zheng, Zhenlan Liang, Suning Li, Fang-Xiang Wu, Min Li

Tsinghua Science and Technology

Recently, the emergence of single-cell RNA-sequencing (scRNA-seq) technology makes it possible to solve biological problems at the single-cell resolution. One of the critical steps in cellular heterogeneity analysis is the cell type identification. Diverse scRNA-seq clustering methods have been proposed to partition cells into clusters. Among all the methods, hierarchical clustering and spectral clustering are the most popular approaches in the downstream clustering analysis with different preprocessing strategies such as similarity learning, dropout imputation, and dimensionality reduction. In this study, we carry out a comprehensive analysis by combining different strategies with these two categories of clustering methods on scRNA-seq datasets ...


A Computer-Aided System For Ocular Myasthenia Gravis Diagnosis, Guanjie Liu, Yan Wei, Yunshen Xie, Jianqiang Li, Liyan Qiao, Ji-jiang Yang 2021 Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China

A Computer-Aided System For Ocular Myasthenia Gravis Diagnosis, Guanjie Liu, Yan Wei, Yunshen Xie, Jianqiang Li, Liyan Qiao, Ji-Jiang Yang

Tsinghua Science and Technology

The current mode of clinical aided diagnosis of Ocular Myasthenia Gravis (OMG) is time-consuming and laborious, and it lacks quantitative standards. An aided diagnostic system for OMG is proposed to solve this problem. The values calculated by the system include three clinical indicators: eyelid distance, sclera distance, and palpebra superior fatigability test time. For the first two indicators, the semantic segmentation method was used to extract the pathological features of the patient’s eye image and a semantic segmentation model was constructed. The patient eye image was divided into three regions: iris, sclera, and background. The indicators were calculated based ...


Robust Segmentation Method For Noisy Images Based On An Unsupervised Denosing Filter, Ling Zhang, Jianchao Liu, Fangxing Shang, Gang Li, Juming Zhao, Yueqin Zhang 2021 College of Software, Taiyuan University of Technology, Taiyuan 030024, China

Robust Segmentation Method For Noisy Images Based On An Unsupervised Denosing Filter, Ling Zhang, Jianchao Liu, Fangxing Shang, Gang Li, Juming Zhao, Yueqin Zhang

Tsinghua Science and Technology

Level-set-based image segmentation has been widely used in unsupervised segmentation tasks. Researchers have recently alleviated the influence of image noise on segmentation results by introducing global or local statistics into existing models. Most existing methods are based on the assumption that the distribution of image noise is known or observable. However, real-time images do not meet this assumption. To bridge this gap, we propose a novel level-set-based segmentation method with an unsupervised denoising mechanism. First, a denoising filter is acquired under the unsupervised learning paradigm. Second, the denoising filter is integrated into the level-set framework to separate noise from the ...


Efficient Scheduling Mapping Algorithm For Row Parallel Coarse-Grained Reconfigurable Architecture, Naijin Chen, Zhen Wang, Ruixiang He, Jianhui Jiang, Fei Cheng, Chenghao Han 2021 School of Computer and Information Science, Anhui Polytechnic University, Wuhu 241000, China

Efficient Scheduling Mapping Algorithm For Row Parallel Coarse-Grained Reconfigurable Architecture, Naijin Chen, Zhen Wang, Ruixiang He, Jianhui Jiang, Fei Cheng, Chenghao Han

Tsinghua Science and Technology

Row Parallel Coarse-Grained Reconfigurable Architecture (RPCGRA) has the advantages of maximum parallelism and programmable flexibility. Designing an efficient algorithm to map the diverse applications onto RPCGRA is difficult due to a number of RPCGRA hardware constraints. To solve this problem, the nodes of the data flow graph must be partitioned and scheduled onto the RPCGRA. In this paper, we present a Depth-First Greedy Mapping (DFGM) algorithm that simultaneously considers the communication costs and the use times of the Reconfigurable Cell Array (RCA). Compared with level breadth mapping, the performance of DFGM is better. The percentage of maximum improvement in the ...


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 ...


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