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Terrestrial Soldier Crab (Coenobita Clypeatus, Fabricius 1787) And Cerion Spp. (Röding 1798) Shell Relationship On San Salvador Island, Bahamas, Harley Hunt 2021 Georgia College

Terrestrial Soldier Crab (Coenobita Clypeatus, Fabricius 1787) And Cerion Spp. (Röding 1798) Shell Relationship On San Salvador Island, Bahamas, Harley Hunt

Biology Theses

The Caribbean terrestrial soldier crab, Coenobita clypeatus(Fabricius 1787), coexist and utilize the shells of numerous species of land and marine gastropods. Soldier crabs rely on gastropod shells for protection as the crabs have a soft abdomen, leaving them vulnerable for predation and desiccation, threatening their survival. This creates a strong pressure to obtain well-fitting shells that provide adequate protection against water loss. Cerion of Röding (1798) shells are one of the most commonly used shells among living colonies of C. clypeatuson San Salvador Island. This study is interested in the frequency of shell use by C. clypeatus crabs ...


Standard Non-Uniform Noise Dataset, Andres Imperial, John M. Edwards 2021 Utah State University

Standard Non-Uniform Noise Dataset, Andres Imperial, John M. Edwards

Browse all Datasets

Fixed Pattern Noise Non-Uniformity Correction through K-Means Clustering

Fixed pattern noise removal from imagery by software correction is a practical approach compared to a physical hardware correction because it allows for correction post-capture of the imagery. Fixed pattern noise presents a unique challenge for de-noising techniques as the noise does not present itself where large number statistics are effective. Traditional noise removal techniques such as blurring or despeckling produce poor correction results because of a lack of noise identification. Other correction methods developed for fixed pattern noise can often present another problem of misidentification of noise. This problem can result ...


Assessing Sustainability At Ccu, Savannah Billings 2021 Coastal Carolina University

Assessing Sustainability At Ccu, Savannah Billings

Honors Theses

An assessment of sustainability initiatives and culture at Coastal Carolina University, recommending stronger institutional support for sustainability.


Extreme Weather And Its Impacts On Human Civilizations: An In-Depth Investigation Of Causes And Effects, Jason Zabel 2021 Liberty University

Extreme Weather And Its Impacts On Human Civilizations: An In-Depth Investigation Of Causes And Effects, Jason Zabel

Senior Honors Theses

Extreme weather has impacted humanity since creation and is an important topic that deserves examination. In this thesis, the main event that is presented and analyzed is the extreme haze that clouded much of China’s skies in 2013. Further, the impacts this major event had on people, including changes in population movement, death/injury rate, and changes in atmospheric chemistry due to the high concentration of particulates are discussed. Subsequent examples that will be explored include Hurricane Katrina and the eruption of Mt. St. Helens. The main contention of this thesis is that the effects extreme weather has on ...


Book Review: Data Feminism, Katherine A. Mika 2021 Harvard University

Book Review: Data Feminism, Katherine A. Mika

Journal of eScience Librarianship

Book review of: Data Feminism by Catherine D'Ignazio and Lauren F. Klein, The MIT Press (2020). Data Feminism combines intersectional feminism and critical data studies to invite the reader to consider: “How can we use data to remake the world?” As non-profit organizations with a mandate to provide equitable access to non-neutral information and services, libraries and library workers are uniquely positioned to advance the principles laid out in Data Feminism.


In Vivo Digestibility, Intake And Nitrogen Balance Of Lambs Fed Different Barley Herbage: Sorghum Silage Diets, M. Arzadun, S. Arias, J. Freddi, A. Piazza 2021 Universidad Nacional del Centro, Argentina

In Vivo Digestibility, Intake And Nitrogen Balance Of Lambs Fed Different Barley Herbage: Sorghum Silage Diets, M. Arzadun, S. Arias, J. Freddi, A. Piazza

International Grassland Congress Proceedings

No abstract provided.


Green Forage And Silage Nutritive Value Of Double Purpose Winter Species, Renato S. Fontaneli, Rob S. Fontaneli, J. W. Dürr, H. P. dos Santos 2021 EMBRAPA, Brazil

Green Forage And Silage Nutritive Value Of Double Purpose Winter Species, Renato S. Fontaneli, Rob S. Fontaneli, J. W. Dürr, H. P. Dos Santos

International Grassland Congress Proceedings

No abstract provided.


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 ...


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 ...


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