Intelligent Genetic Algorithm For Workforce Scheduling Considering Service Level In It Maintenance Service,
2021
1. School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China; ;
Intelligent Genetic Algorithm For Workforce Scheduling Considering Service Level In It Maintenance Service, Ruiying Chen, Chengtao Wang, Zhenyuan Liu
Journal of System Simulation
Abstract: Aiming at resolving the faults quickly and effectively with limited human resource,an IT maintenance service model with the consideration of service level is proposed, A knowledge model is proposed,a variety of mutation operators and crossover operators are designed. and the improved genetic algorithm (IGA), the intelligent genetic algorithm based on knowledge model (KIGA) and the adaptive intelligent genetic algorithm based on knowledge model (KAIGA) are formed. The results show that the adaptive mutation and crossover probability can accelerate the convergence speed of the solution, and the knowledge model can also improve the optimization effect of the solution
Neural Network Optimized Sensorless Permanent Magnet Synchronous Motor Control System,
2021
School of mechanical engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;
Neural Network Optimized Sensorless Permanent Magnet Synchronous Motor Control System, Lixin Ma, Yongjie Zhu, Leyan Ji
Journal of System Simulation
Abstract: In order to solve the poor accuracy of the speed and rotor position of permanent magnet synchronous motor caused by sensor, a sensorless control system is proposed to calculate the speed and rotor position of PMSM with extended Kalman filtering algorithm. BP neural network algorithm is used to optimize the covariance matrix Q and R of EKF, which improves the accurate calculation values of rotational speed and rotor position. At the same time, the speed sliding mode controller combined with the current feed-forward decoupling unit are used to improve the stability of the whole control system. The simulation results …
A Survey Of Edge Computing Resource Allocation And Task Scheduling Optimization,
2021
Department of Automation, Tsinghua University, Beijing 100084, China;
A Survey Of Edge Computing Resource Allocation And Task Scheduling Optimization, Wang Ling, Chuge Wu, Wenhui Fan
Journal of System Simulation
Abstract: With the rapid development of Internet of Things (IoT) and mobile terminals, the concept of edge computing arises. By moving the computation and storage capacity to the edge of network, edge computing is able to deal with a large amount of data produced by IoT devices and the responsive request from IoT application. To improve the utility of edge resource, the quality of service and quality of user experience, resource allocation and task scheduling optimization problems under edge computing attract wide attention. It becomes more difficult due to the geographic separated and heterogeneous features of edge computing resource as …
Simulation Analysis Of Impact Of Complex Network On Herd Effect,
2021
1. School of Business Administration, South China University of Technology, Guangzhou 510640, China; ;
Simulation Analysis Of Impact Of Complex Network On Herd Effect, Li Feng, Wei Ying
Journal of System Simulation
Abstract: Herd behavior is valuable but complicated. The impact of different type complex network on herd effect is analyzed by multi-agent modeling and simulation. In the model, herd behavior of decision-maker is modeled based on the advanced evidences from empirical study. Through simulation, not only the conclusions drawn from traditional mathematical modeling are verified, but also the whole evolving process of herd effect is inspected and the evolving speed related features can be used to evaluate performances of herd effect. More important, simulation results show the network structure of different type complex networks is one of the key factors …
Technology Evolution Network Model And Simulation Based On Patent Citation Network,
2021
1. School of Management, Jinan University, Guangzhou 510632, China; ;
Technology Evolution Network Model And Simulation Based On Patent Citation Network, You Ge, Guo Hao, Liu Xiang
Journal of System Simulation
Abstract: On the basis of on the patent citation network and complex networks, a technology evolution network model is constrcucted, which revealed the topology structure, evolution rules and dynamics of the technology evolution network. By introducing time and fitness preferential attachments mechanism, the effect of time factor and selection law of “survival of the fittest” on evolution of network structure during the technology evolution is studied. The results showed that the technology evolution network had the characteristic of scale-free, which is the result of global selection of “survival of the fittest” in the process of technology accumulation; The effect of …
Simulation Of Benefit Distribution In Platform Delivery Mode,
2021
School of Management, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China;
Simulation Of Benefit Distribution In Platform Delivery Mode, Zheng Wen, Chenxi Dou, Zhe Zhang
Journal of System Simulation
Abstract: Aiming at the benefit distribution relationship of platform delivery mode(PDM), the multi-agents-based model is applied to construct the benefit distribution of PDM. The Swarm simulation platform is used to explore the trading status changes of the participants under different scales; Considering the cost-profit condition, the sense of relative deprivation is introduced as the index to express the individual perception in exploring the emergency of the co-effective relationship of the individual perception and the benefit distribution in systematic and emergence points. The model and its results can reveal the benefit distribution states of the existing PDM structure and the collective …
Network Traffic Anomaly Detection Method For Imbalanced Data,
2021
1. SSF Information Engineering University, Zhengzhou 450001, China; ;2. Henan Key Laboratory of Information Security, Zhengzhou 450001, China;
Network Traffic Anomaly Detection Method For Imbalanced Data, Shuqin Dong, Bin Zhang
Journal of System Simulation
Abstract: Aiming at the poor detection performances caused by the low feature extraction accuracy of rare traffic attacks from scarce samples, a network traffic anomaly detection method for imbalanced data is proposed. A traffic anomaly detection model is designed, in which the traffic features in different feature spaces are learned by alternating activation functions, architectures, corrupted rates and dropout rates of stacked denoising autoencoder (SDA), and the low accuracy in extracting features of rare traffic attacks in a single space is solved. A batch normalization algorithm is designed, and the Adam algorithm is adopted to train parameters of …
Research On Generation Technology Of Computer Generated Force In Lvc Training System,
2021
1. Army Armored Force Academy Drill and Training Center, Beijing 100072, China; ;
Research On Generation Technology Of Computer Generated Force In Lvc Training System, Gao Ang, Zhiming Dong, Guohui Zhang, Liang Tao, Qisheng Guo
Journal of System Simulation
Abstract: LVC training system of the combat equipment under the condition of confrontation is an effective means of training, aiming at the problem that in LVC training system, computer generated forces are difficult to meet the demand of training problems. The concept of LVC training and LVC training system is clarified, according to the relationship between model and system structure, the corresponding modeling technology requirements of three different hierarchical models, namely logical range entity configuration, command entity and combat entity, are expounded. According to the specific requirements, four computer-generated force generation methods are proposed, namely, logical target range virtual and …
Low-Cost Hardware-In-The-Loop (Hil) Simulator For Simulation And Analysis Of Embedded Systems With Non-Real-Time Applications,
2021
Louisiana State University
Low-Cost Hardware-In-The-Loop (Hil) Simulator For Simulation And Analysis Of Embedded Systems With Non-Real-Time Applications, Chanuka S. Elvitigala
LSU Master's Theses
Hardware-In-the-Loop (HIL) simulation is an approach that is used for embedded systems testing which was popular in the early days of embedded systems. This technology was wrapped and was stored away for a long time. One of the main reasons is that the less use of embedded systems in society. Recent developments in embedded systems, data science, and control systems lead to a focus on testing these systems. The earliest method of testing these systems was by doing destructive testing which is a waste of money, resources, and time. The HIL provided a safe and economical way of testing the …
On-Device Deep Learning Inference For System-On-Chip (Soc) Architectures,
2021
Chapman University
On-Device Deep Learning Inference For System-On-Chip (Soc) Architectures, Tom Springer, Elia Eiroa-Lledo, Elizabeth Stevens, Erik Linstead
Engineering Faculty Articles and Research
As machine learning becomes ubiquitous, the need to deploy models on real-time, embedded systems will become increasingly critical. This is especially true for deep learning solutions, whose large models pose interesting challenges for target architectures at the “edge” that are resource-constrained. The realization of machine learning, and deep learning, is being driven by the availability of specialized hardware, such as system-on-chip solutions, which provide some alleviation of constraints. Equally important, however, are the operating systems that run on this hardware, and specifically the ability to leverage commercial real-time operating systems which, unlike general purpose operating systems such as Linux, can …
Incomplete Images, Or Where Does The Art Happen?,
2021
Duke University
Incomplete Images, Or Where Does The Art Happen?, Rebecca Uliasz
Journal of Network Music and Arts
No abstract provided.
Sync Variations: For Sixteen Isolated Electric Violin Players And A Programmed Network System,
2021
Stony Brook University
Sync Variations: For Sixteen Isolated Electric Violin Players And A Programmed Network System, Elad Shniderman
Journal of Network Music and Arts
Sync Variations is a collaboration between the composer and sound artist Elad Shniderman, the physicist Moti Fridman, and his colleagues Nir Davidson and Shir Shahal. An article on the scientific research aspect of this project was published in Nature Communications2. This article focuses on the musical performance and score.
The project is the product of a unique interaction between musicians through a custom-programmed network system. This system simulates the network environment of the internet in many ways. However, the piece has not yet been performed over the internet, which naturally will be the next step in this project. …
On Composing 5,000 Miles,
2021
State University of New York at Potsdam
On Composing 5,000 Miles, Joe Sferra
Journal of Network Music and Arts
This article is my account of composing my first piece for telematic performance, a quartet called 5,000 Miles. The piece was commissioned by the ACCAD Sonic Arts Ensemble, directed by Marc Ainger, Ann Stimson, and Federico Cámara Halac. I performed the piece with the ensemble on two performances in November 2020: a performance for the NowNetArts Conference, and a second performance titled “Into the Multiverse” for the Wexner Center for the Arts at Ohio State University. I outline how I approached writing a specifically telematic piece, then present an analysis.
Live Electronics, Audiovisual Compositions, And Telematic Performance: Collaborations During The Pandemic,
2021
Federal University of Mato Grosso
Live Electronics, Audiovisual Compositions, And Telematic Performance: Collaborations During The Pandemic, Danilo Rossetti, Cássia Carrascoza Bomfim
Journal of Network Music and Arts
We present a report of the experience of our remote musical collaboration during the Covid-19 pandemic regarding live electronic, audiovisual compositions, and telematic performance in the context of the project Sound Notebooks. We discuss the problems found and the solutions adopted in the performances, as well as the hypotheses of musical research raised by the remote environment. We argue that the variety of expressive modes, sonic modalities, and video possibilities in the Sound Notebooks repertoire we presented contributes to the construction of an aesthetics for remote performance. We additionally address practical and conceptual questions involving the composition, performance, and technical …
Electo Electro 2020, An Interactive Voting Booth Installation,
2021
Monmouth University
Electo Electro 2020, An Interactive Voting Booth Installation, Mike Richison
Journal of Network Music and Arts
Electo Electro 2020 was a project that was created specifically for the 2020 presidential election cycle. This paper is a follow-up to an article published in 2019 for the Journal of Network Music and Arts, “Voting Booths and Interactive Art Installations: The Diebold AccuVote-TS in Context.” In that paper, I discussed the original concept and goals for the project, several examples of work from other artists, and an earlier project from 2016 that served as the impetus for Electo Electro. This paper will discuss the outcomes and iterations of the project, specifically how it was adapted to an online …
Editorial,
2021
Stony Brook University
Multi-Step-Ahead Exchange Rate Forecasting For South Asian Countries Using Multi-Verse Optimized Multiplicative Functional Link Neural Networks,
2021
Department of Information Technology, Veer Surendra Sai University of Technology, Burla, Sambalpur, India
Multi-Step-Ahead Exchange Rate Forecasting For South Asian Countries Using Multi-Verse Optimized Multiplicative Functional Link Neural Networks, Kishore Kumar Sahu, Sarat Chandra Nayak, Himansu Sekhar Behera
Karbala International Journal of Modern Science
The dynamic nonlinearity approach, coupled with the exchange rate data series, makes its future predictions difficult. Sophisticated methods are highly desired for effective prediction of such data. Artificial neural networks (ANNs) have shown their ability to model and predict such data. This article presents a multi-verse optimizer (MVO) based multiplicative functional link neural network (MV-MFLN) model to forecast the exchange rate data. Functional link neural network (FLN) makes use of functional expansion for input data with a fewer number of adjustable neuron weights, which makes it capable of learning the uncertainties accompanying the exchange rate data. In contrast to the …
Recent Advances In Terahertz Photonic Technologies
Based On Graphene And Their Applications,
2021
Nanchang University
Recent Advances In Terahertz Photonic Technologies Based On Graphene And Their Applications, Tianjing Guo, Christos Argyropoulos
Department of Electrical and Computer Engineering: Faculty Publications
Graphene is a unique 2D material that has been extensively investigated due to its extraordinary photonic, electronic, thermal, and mechanical properties. Excited plasmons along its surface and other unique features are expected to play an important role in many emerging photonic technologies with drastically improved and tunable functionalities. This review is focused on presenting several recently introduced photonic phenomena based on graphene, beyond its usual linear response, such as nonlinear, active, topological, and nonreciprocal effects. The physical mechanisms and various envisioned photonic applications corresponding to these novel intriguing functionalities are also reported. The presented graphene-based technologies promise to revolutionize the …
Predicting Vasovagal Responses: A Model-Based And Machine Learning Approach,
2021
CUNY Brooklyn College
Predicting Vasovagal Responses: A Model-Based And Machine Learning Approach, Theodore Raphan, Sergei B. Yakushi
Publications and Research
Vasovagal syncope (VVS) or neurogenically induced fainting has resulted in falls, fractures, and death. Methods to deal with VVS are to use implanted pacemakers or beta blockers. These are often ineffective because the underlying changes in the cardiovascular system that lead to the syncope are incompletely understood and diagnosis of frequent occurrences of VVS is still based on history and a tilt test, in which subjects are passively tilted from a supine position to 20◦ from the spatial vertical (to a 70◦ position) on the tilt table and maintained in that orientation for 10–15 min. Recently, is has been shown …
On The Impact Of Gravity Compensation On Reinforcement Learning In Goal-Reaching Tasks For Robotic Manipulators,
2021
University of Kentucky
On The Impact Of Gravity Compensation On Reinforcement Learning In Goal-Reaching Tasks For Robotic Manipulators, Jonathan Fugal, Hasan A. Poonawala, Jihye Bae
Electrical and Computer Engineering Faculty Publications
Advances in machine learning technologies in recent years have facilitated developments in autonomous robotic systems. Designing these autonomous systems typically requires manually specified models of the robotic system and world when using classical control-based strategies, or time consuming and computationally expensive data-driven training when using learning-based strategies. Combination of classical control and learning-based strategies may mitigate both requirements. However, the performance of the combined control system is not obvious given that there are two separate controllers. This paper focuses on one such combination, which uses gravity-compensation together with reinforcement learning (RL). We present a study of the effects of gravity …
