Old Dominion University
Southern Methodist University
Bowling Green State University
The College of Wooster
University of Pennsylvania
Northern Illinois University
James Madison University
San Jose State University
Machine Learning Prediction Of Hea Properties,
2023
California Polytechnic State University, San Luis Obispo
Machine Learning Prediction Of Hea Properties, Nicholas J. Beaver, Nathaniel Melisso, Travis Murphy
College of Engineering Summer Undergraduate Research Program
High-entropy alloys (HEA) are a very new development in the field of metallurgical materials. They are made up of multiple principle atoms unlike traditional alloys, which contributes to their high configurational entropy. The microstructure and properties of HEAs are are not well predicted with the models developed for more common engineering alloys, and there is not enough data available on HEAs to fully represent the complex behavior of these alloys. To that end, we explore how the use of machine learning models can be used to model the complex, high dimensional behavior in the HEA composition space. Based on our …
Instance-Specific Algorithm Configuration Via Unsupervised Deep Graph Clustering,
2023
Singapore Management University
Instance-Specific Algorithm Configuration Via Unsupervised Deep Graph Clustering, Wen Song, Yi Liu, Zhiguang Cao, Yaoxin Wu, Qiqiang Li
Research Collection School Of Computing and Information Systems
Instance-specific Algorithm Configuration (AC) methods are effective in automatically generating high-quality algorithm parameters for heterogeneous NP-hard problems from multiple sources. However, existing works rely on manually designed features to describe training instances, which are simple numerical attributes and cannot fully capture structural differences. Targeting at Mixed-Integer Programming (MIP) solvers, this paper proposes a novel instances-specific AC method based on end-to-end deep graph clustering. By representing an MIP instance as a bipartite graph, a random walk algorithm is designed to extract raw features with both numerical and structural information from the instance graph. Then an auto-encoder is designed to learn dense …
Effects Of Weight Initialization Methods On Ffn's,
2023
Jefferson Community and Technical College
Effects Of Weight Initialization Methods On Ffn's, Ida K. Karem
The Cardinal Edge
Weight initialization is the method of determining starting values of weights in a neural network. The way this method is done can have massive effects on the network[2, 3, 6, 9] and can halt training if not handled properly. On the other hand, if initialization is chosen tactfully it can improve training and accuracy greatly. The initialization method usually called Normalized Xavier will be referred to as Nox in this paper to avoid confusion with the Xavier initialization method. This study analyzes five methods of weight initialization(Nox, He, Xavier, Plutonian, and Self-Root), two of them …
Sentiment Analysis Of Public Perception Towards Elon Musk On Reddit (2008-2022),
2023
University of Louisville
Sentiment Analysis Of Public Perception Towards Elon Musk On Reddit (2008-2022), Daniel Maya Bonilla, Samuel Iradukunda, Pamela Thomas
The Cardinal Edge
As Elon Musk’s influence in technology and business continues to expand, it becomes crucial to comprehend public sentiment surrounding him in order to gauge the impact of his actions and statements. In this study, we conducted a comprehensive analysis of comments from various subreddits discussing Elon Musk over a 14-year period, from 2008 to 2022. Utilizing advanced sentiment analysis models and natural language processing techniques, we examined patterns and shifts in public sentiment towards Musk, identifying correlations with key events in his life and career. Our findings reveal that public sentiment is shaped by a multitude of factors, including his …
Rede Neural Para A Predição De Óbito Utilizando Biomarcadores De Pacientes Em Hemodiálise No Sistema Único De Saúde.,
2023
Pontificia Universidade Catolica do Rio Grande do Sul
Rede Neural Para A Predição De Óbito Utilizando Biomarcadores De Pacientes Em Hemodiálise No Sistema Único De Saúde., Isadora Badalotti-Teloken
AMNET XX Conferencia Internacional
No abstract provided.
Constrained Multiagent Reinforcement Learning For Large Agent Population,
2023
Singapore Management University
Constrained Multiagent Reinforcement Learning For Large Agent Population, Jiajing Ling, Arambam James Singh, Duc Thien Nguyen, Akshat Kumar
Research Collection School Of Computing and Information Systems
Learning control policies for a large number of agents in a decentralized setting is challenging due to partial observability, uncertainty in the environment, and scalability challenges. While several scalable multiagent RL (MARL) methods have been proposed, relatively few approaches exist for large scale constrained MARL settings. To address this, we first formulate the constrained MARL problem in a collective multiagent setting where interactions among agents are governed by the aggregate count and types of agents, and do not depend on agents’ specific identities. Second, we show that standard Lagrangian relaxation methods, which are popular for single agent RL, do not …
Perceptions And Barriers To Adopting Artificial Intelligence In K-12 Education: A Survey Of Educators In Fifty States,
2023
Kean University
Perceptions And Barriers To Adopting Artificial Intelligence In K-12 Education: A Survey Of Educators In Fifty States, Karen Woodruff, James Hutson, Kathryn Arnone
Faculty Scholarship
Artificial Intelligence (AI) is making significant strides in the field of education, offering new opportunities for personalized learning and access to education for a more diverse population. Despite this potential, the adoption of AI in K-12 education is limited, and educators’ express hesitancy towards its integration due to perceived technological barriers and misconceptions. The purpose of this study is to examine the perceptions of K-12 educators in all 50 states of the USA towards AI, policies, training, and resources related to technology and AI, their comfort with technology, willingness to adopt new technologies for classroom instruction, and needs assessment for …
Carbon-Aware Mine Planning With A Novel Multi-Objective Framework,
2023
Singapore Management University
Carbon-Aware Mine Planning With A Novel Multi-Objective Framework, Nurul Asyikeen Binte Azhar, Aldy Gunawan, Shih-Fen Cheng, Erwin Leonardi
Research Collection School Of Computing and Information Systems
The logistical complication of long-term mine planning involves deciding the sequential extraction of materials from the mine pit and their subsequent processing steps based on geological, geometrical, and resource constraints. The net present value (NPV) of profit over the mine's lifespan usually forms the sole objective for this problem, which is considered as the NP-hard precedence-constrained production scheduling problem (PCPSP) as well. However, increased pressure for more sustainable and carbon-aware industries also calls for environmental indicators to be considered. In this paper, we enhance the generic PCPSP formulation into a multi-objective optimization (MOO) problem whereby carbon cost forms an additional …
Optimization And Application Of Graph Neural Networks,
2023
The Graduate Center, City University of New York
Optimization And Application Of Graph Neural Networks, Shuo Zhang
Dissertations, Theses, and Capstone Projects
Graph Neural Networks (GNNs) are widely recognized for their potential in learning from graph-structured data and solving complex problems. However, optimal performance and applicability of GNNs have been an open-ended challenge. This dissertation presents a series of substantial advances addressing this problem. First, we investigate attention-based GNNs, revealing a critical shortcoming: their ignorance of cardinality information that impacts their discriminative power. To rectify this, we propose Cardinality Preserved Attention (CPA) models that can be applied to any attention-based GNNs, which exhibit a marked improvement in performance. Next, we introduce the Directional Node Pair (DNP) descriptor and the Robust Molecular Graph …
Out-Of-Distribution Generalization Of Deep Learning To Illuminate Dark Protein Functional Space,
2023
The Graduate Center, City University of New York
Out-Of-Distribution Generalization Of Deep Learning To Illuminate Dark Protein Functional Space, Tian Cai
Dissertations, Theses, and Capstone Projects
Dark protein illumination is a fundamental challenge in drug discovery where majority human proteins are understudied, i.e. with only known protein sequence but no known small molecule binder. It's a major road block to enable drug discovery paradigm shift from single-targeted which looks to identify a single target and design drug to regulate the single target to multi-targeted in a Systems Pharmacology perspective. Diseases such as Alzheimer's and Opioid-Use-Disorder plaguing millions of patients call for effective multi-targeted approach involving dark proteins. Using limited protein data to predict dark protein property requires deep learning systems with OOD generalization capacity. Out-of-Distribution (OOD) …
Metaverse Concept And Its Military Application,
2023
Graduate School, National Defense University, Beijing 100091, China; PLA 31015 Troops, Beijing 100094, China
Metaverse Concept And Its Military Application, Tan Zhao, Lin Wu, Jiuyang Tao, Shuai Li
Journal of System Simulation
Abstract: Metaverse is a concept describing the fusion and interaction between virtual and real, which has become popular in business and academia since 2021. The aim is to study possible applications of metaverse in military. We sort out the definition, characteristics and development of this concept. Then we analyze the necessity of using the concept of military metaverse from the expansion of modeling and simulation(M&S) and live-virtual-constructive(LVC) simulation. And then we study the possible improvements of the military metaverse from the actual needs of military training, operation and information resource management. We sort out the prototype products of the military …
Military Metaverse: Key Technologies, Potential Applications And Future Directions,
2023
Key Laboratory of Fundamental Science for National Defense-Advanced Design Technology of Flight Vehicle, College of Aerospace Engineering Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
Military Metaverse: Key Technologies, Potential Applications And Future Directions, Zhao Zhang, Yujie Guo, Xiaoning Zhao, Baoliang Sun
Journal of System Simulation
Abstract: Since its emergence, the concept of metaverse has been applied to many fields. At present, the transformation of military intelligence, digitalization and information technology is advancing in an allround way. The military enabled by metaverse technology will accelerate the process of military reform in the new era. To explore the potential application of metaverse in the military field, this paper first introduces several key technologies of metaverse and their functions in the military field, and then discusses some potential directions for the application of metaverse in weapon development and support, training and teaching of officers and soldiers, tactical command …
Research And Application Progress Of Tracking Registration Methods In Ar Assembly,
2023
School of Modern Post (School of Automation), Beijing University of Posts and Telecommunications, Beijing 100876, China
Research And Application Progress Of Tracking Registration Methods In Ar Assembly, Wei Fang, Shuhong Xu, Lei Han, Zhangwenchi Li
Journal of System Simulation
Abstract: Augmented reality (AR) can superimpose virtual auxiliary information in appropriate positions at the actual work site to achieve intelligent assembly guidance of "what you see is what you operate", alleviating the difficulties for workers to recognize drawings in traditional drawing-based assembly and the problems of misassembly, missing parts and so on. Stable tracking registration in the assembly site environment is the basis for achieving the fusion of virtual and actual scene in augmented assembly visual guidance, and also a key issue in the practical application and deployment of existing augmented assembly. In view of the research and application results …
Research On Dynamic Simulation Technology For Satellite Internet,
2023
School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi 214122, China
Research On Dynamic Simulation Technology For Satellite Internet, Xiaofeng Wang, Taiqian Shen, Yuan Liu
Journal of System Simulation
Abstract: Network simulation is an important support for new technology verification and security technology evaluation in the rolling construction of satellite internet. A dynamic simulation architecture which based on cloud platform is proposed to address the highly time-varying characteristics of satellite internet. An algorithm of distributed simulation technology of satellite links, which improves the synchronization of accuracy of dynamic simulation of links, is designed to tackle the time-varying of satellite links. Aiming at the topology changes in the process of satellites motion, an algorithm of realtime topology simulation based on time splice is raised, which realizes real-time and accurate changes …
A Framework On Equipment Digital Twin Credibility Assessment,
2023
School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China; Engineering Research Center of Complex Product Advanced Manufacturing System, Beijing 100191, China
A Framework On Equipment Digital Twin Credibility Assessment, Han Lu, Lin Zhang, Kunyu Wang, Zejun Huang
Journal of System Simulation
Abstract: A key bottleneck in the large-scale application of equipment digital twin is the lack of systematic and effective credibility assessment methods. This paper analyzes the dynamic evolution, virtual-real interactivity and other key features of the equipment digital twin. A credibility assessment framework for the equipment digital twin is proposed, including the credibility connotation of the digital twin, a multi-dimensional and multi-level credibility assessment index system and a credibility assessment methodology. The whole assessment process is illustrated with the robotic arm digital twin as an example, which can provide directional guidance for the assessment and construction of the digital twin.
Energy Management Strategy Of Multi-Agent Microgrid Based On Q-Learning Algorithm,
2023
School of Control and Computer Engineering, North China Electric Power University, Beijing 102206, China; State Key Laboratory of Alternate Electric Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China
Energy Management Strategy Of Multi-Agent Microgrid Based On Q-Learning Algorithm, Miaomiao Ma, Lipeng Dong, Xiangjie Liu
Journal of System Simulation
Abstract: This paper proposes a multi-agent microgrid energy management method for the energy trading and benefit distribution in the microgrid power market based on the Q-learning algorithm. Based on the electricity market, microgrid system and transaction process are constructed to clarify the responsibilities of each unit. The mathematical models of distributed power generations are established by considering the changes in wind speed, light intensity and ambient temperature, as well as the upper and lower limit constraints of the output power of each power generation unit. On this basis, the distributed power generations and user loads are regarded as agents, and …
Detection Of False Data Injection Attack In Smart Grid Based On Improved Ukf,
2023
Anhui Key Laboratory of Electric Drive and Control, Wuhu 241000, China; School of Electrical Engineering, Anhui Polytechnic University, Wuhu 241000, China
Detection Of False Data Injection Attack In Smart Grid Based On Improved Ukf, Lisheng Wei, Qian Zhang
Journal of System Simulation
Abstract: Due to the disruption and threat of false data injection attack (FDIA) on grid cyber-physical systems (GCPS), and to address the problem that false data is difficult to be detected, a method for smart grid false data detection based on weighted least squares (WLS) and improved unscented Kalman filter (UKF) is proposed. FDIA is modeled mathematically, and the residual analysis shows that the FDIA is difficult to be detected. In the case of the injection attack vector, the improved UKF is applied to state estimation. Meanwhile, the state estimation of the system is performed by the WLS, which is …
Modeling And System Realization Of Assembly Robot Based On Digital Twin,
2023
School of Electronic Information, Xi'an Polytechnic University, Xi'an 710048, China
Modeling And System Realization Of Assembly Robot Based On Digital Twin, Jian Xu, Xin Song, Xiuping Liu, Bo Chen
Journal of System Simulation
Abstract: Aiming at the problems of time-consuming, labor-intensive and poor accuracy in programming of complex operations of industrial assembly robots, an online programming method for robots based on digital twin is proposed. From the four dimensions of geometry, contact dynamics, behavior and rules, the faithful mapping of the robot from real to virtual space is realized. The verification of multi-part assembly trajectory planning program, real-time synchronous operation and state monitoring are realized. An assembly robot modeling and online programming system based on digital twin is designed and built. A six-axis industrial robot cell is taken as an example to verify …
Modeling And Identification Of Wind Power Generation System Based On
Hammerstein Model,
2023
College of Electrical and Information Engineering, Jiangsu University of Technology, Changzhou 213001, China
Modeling And Identification Of Wind Power Generation System Based On Hammerstein Model, Feng Li, Tian Zheng, Wei Song
Journal of System Simulation
Abstract: A modeling and identification method of wind power generation system based on Hammerstein model is studied to establish high-precision model of wind power generation system. Firstly, 3σ criterion is used to propose the abnormal data, and the eliminated data is used to train the nominal model of the wind power generation system. Furthermore, the Hammerstein model is used to establish the data-driven model of wind power generation system, and the combined signal composed of separable signal and actual wind speed is used as the input of the Hammerstein model. The output of the separable signal through the nominal model …
Target Search Planning And Algorithm For Monitoring Of Polar Disaster Areas,
2023
School of Internet of things, Nanjing University of Posts and Telecommunications, Nanjing 210003, China; Key Laboratory of Broadband Wireless Communication and Internet of Things of Jiangsu Province, Nanjing University of Posts and Telecommunications, Nanjing 210003, China; National Engineering Research Center for Communication and Network Technology, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
Target Search Planning And Algorithm For Monitoring Of Polar Disaster Areas, Fei Ding, Meinan Zhang, Hengheng Zhuang, Hairong Ma
Journal of System Simulation
Abstract: Aiming at improving the ability of safe navigation route planning and risk assessment of ships in polar waters, a target search model and method based on clustering and efficient indexing of monitoring center are proposed. By constructing a disaster monitoring scenario based on the current navigation area of the ship, a virtual electronic fence is introduced to define the monitoring area. Spectral clustering algorithm is used to divide the risk level of the fence area, extract high-risk areas, and optimize the generation of target search scenarios; Efficient determination of the matching relationship between the target vessel and the fence …
