Open Access. Powered by Scholars. Published by Universities.®
Artificial Intelligence and Robotics Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Engineering (1598)
- Computer Engineering (1536)
- Numerical Analysis and Scientific Computing (1505)
- Operations Research, Systems Engineering and Industrial Engineering (1500)
- Systems Science (1490)
-
- Social and Behavioral Sciences (55)
- Databases and Information Systems (45)
- Theory and Algorithms (38)
- Electrical and Computer Engineering (31)
- Data Science (29)
- Graphics and Human Computer Interfaces (24)
- Information Security (24)
- Software Engineering (24)
- Other Computer Sciences (22)
- Law (18)
- Medicine and Health Sciences (18)
- Arts and Humanities (15)
- Business (14)
- Public Affairs, Public Policy and Public Administration (14)
- Statistics and Probability (14)
- Life Sciences (13)
- Applied Mathematics (12)
- Mathematics (12)
- Robotics (12)
- Civil and Environmental Engineering (10)
- Communication (10)
- Science and Technology Law (10)
- Institution
-
- China Simulation Federation (1490)
- Singapore Management University (86)
- San Jose State University (35)
- University of Malaya (22)
- Old Dominion University (19)
-
- Technological University Dublin (15)
- Chulalongkorn University (11)
- California Polytechnic State University, San Luis Obispo (9)
- Missouri University of Science and Technology (9)
- University of Kentucky (9)
- University of Arkansas, Fayetteville (8)
- University of Denver (8)
- University of Texas at El Paso (8)
- Air Force Institute of Technology (7)
- City University of New York (CUNY) (6)
- University of Nevada, Las Vegas (6)
- University of South Florida (6)
- MBZUAI (5)
- New Jersey Institute of Technology (5)
- University of Nebraska - Lincoln (5)
- West Virginia University (5)
- Boise State University (4)
- Edith Cowan University (4)
- Southern Methodist University (4)
- The University of Southern Mississippi (4)
- Walden University (4)
- Wayne State University (4)
- Embry-Riddle Aeronautical University (3)
- Fordham University (3)
- James Madison University (3)
- Keyword
-
- Simulation (76)
- Machine learning (66)
- Artificial intelligence (42)
- Deep learning (36)
- Machine Learning (28)
-
- Artificial Intelligence (24)
- Numerical simulation (20)
- Particle swarm optimization (20)
- Virtual reality (19)
- Genetic algorithm (18)
- Modeling (18)
- Deep Learning (17)
- Neural network (16)
- Modeling and simulation (14)
- Neural networks (13)
- Optimization (13)
- Visualization (13)
- Fault diagnosis (12)
- Reinforcement learning (12)
- System simulation (12)
- AI (11)
- Multi-objective optimization (11)
- Simulation model (11)
- Complex network (10)
- Computer vision (10)
- Feature extraction (10)
- Robustness (10)
- Scheduling (10)
- Virtual simulation (10)
- Parameter identification (9)
- Publication
-
- Journal of System Simulation (1490)
- Research Collection School Of Computing and Information Systems (73)
- Master's Projects (34)
- Student Works (2020-2029) (22)
- Chulalongkorn University Theses and Dissertations (Chula ETD) (11)
-
- Conference papers (8)
- Dissertations (8)
- Electronic Theses and Dissertations (8)
- Master's Theses (8)
- Theses and Dissertations (8)
- Open Access Theses & Dissertations (7)
- Articles (6)
- Doctoral Dissertations (6)
- Faculty Publications (6)
- USF Tampa Graduate Theses and Dissertations (6)
- Graduate Theses, Dissertations, and Problem Reports (ETD) (5)
- Computer Science and Computer Engineering Undergraduate Honors Theses (4)
- Theses (4)
- Theses and Dissertations--Computer Science (4)
- Walden Dissertations and Doctoral Studies (4)
- Cybersecurity Undergraduate Research Showcase (3)
- Dissertations and Theses Collection (Open Access) (3)
- Dissertations, Theses, and Capstone Projects (3)
- Faculty Works (3)
- Machine Learning Faculty Publications (3)
- Masters Theses (3)
- Minnesota Journal of Law, Science & Technology (3)
- Publications (3)
- Research outputs 2014 to 2021 (3)
- Senior Independent Study Theses (3)
- Publication Type
Articles 1771 - 1800 of 1914
Full-Text Articles in Artificial Intelligence and Robotics
Solving Online Threat Screening Games Using Constrained Action Space Reinforcement Learning, Sanket Shah, Arunesh Sinha, Pradeep Varakantham, Andrew Perrault, Millind Tambe
Solving Online Threat Screening Games Using Constrained Action Space Reinforcement Learning, Sanket Shah, Arunesh Sinha, Pradeep Varakantham, Andrew Perrault, Millind Tambe
Research Collection School Of Computing and Information Systems
Large-scale screening for potential threats with limited resources and capacity for screening is a problem of interest at airports, seaports, and other ports of entry. Adversaries can observe screening procedures and arrive at a time when there will be gaps in screening due to limited resource capacities. To capture this game between ports and adversaries, this problem has been previously represented as a Stackelberg game, referred to as a Threat Screening Game (TSG). Given the significant complexity associated with solving TSGs and uncertainty in arrivals of customers, existing work has assumed that screenees arrive and are allocated security resources at …
Stochastically Robust Personalized Ranking For Lsh Recommendation Retrieval, Dung D. Le, Hady W. Lauw
Stochastically Robust Personalized Ranking For Lsh Recommendation Retrieval, Dung D. Le, Hady W. Lauw
Research Collection School Of Computing and Information Systems
Locality Sensitive Hashing (LSH) has become one of the most commonly used approximate nearest neighbor search techniques to avoid the prohibitive cost of scanning through all data points. For recommender systems, LSH achieves efficient recommendation retrieval by encoding user and item vectors into binary hash codes, reducing the cost of exhaustively examining all the item vectors to identify the topk items. However, conventional matrix factorization models may suffer from performance degeneration caused by randomly-drawn LSH hash functions, directly affecting the ultimate quality of the recommendations. In this paper, we propose a framework named SRPR, which factors in the stochasticity of …
Topic Modeling On Document Networks With Adjacent-Encoder, Ce Zhang, Hady W. Lauw
Topic Modeling On Document Networks With Adjacent-Encoder, Ce Zhang, Hady W. Lauw
Research Collection School Of Computing and Information Systems
Oftentimes documents are linked to one another in a network structure,e.g., academic papers cite other papers, Web pages link to other pages. In this paper we propose a holistic topic model to learn meaningful and unified low-dimensional representations for networked documents that seek to preserve both textual content and network structure. On the basis of reconstructing not only the input document but also its adjacent neighbors, we develop two neural encoder architectures. Adjacent-Encoder, or AdjEnc, induces competition among documents for topic propagation, and reconstruction among neighbors for semantic capture. Adjacent-Encoder-X, or AdjEnc-X, extends this to also encode the network structure …
Deepdualmapper: A Gated Fusion Network For Automatic Map Extraction Using Aerial Images And Trajectories, Hao Wu, Hanyuan Zhang, Xinyu Zhang, Weiwei Sun, Baihua Zheng, Yuning Jiang
Deepdualmapper: A Gated Fusion Network For Automatic Map Extraction Using Aerial Images And Trajectories, Hao Wu, Hanyuan Zhang, Xinyu Zhang, Weiwei Sun, Baihua Zheng, Yuning Jiang
Research Collection School Of Computing and Information Systems
Automatic map extraction is of great importance to urban computing and location-based services. Aerial image and GPS trajectory data refer to two different data sources that could be leveraged to generate the map, although they carry different types of information. Most previous works on data fusion between aerial images and data from auxiliary sensors do not fully utilize the information of both modalities and hence suffer from the issue of information loss. We propose a deep convolutional neural network called DeepDualMapper which fuses the aerial image and trajectory data in a more seamless manner to extract the digital map. We …
Multi-Level Fine-Scaled Sentiment Sensing With Ambivalence Handling, Zhaoxia Wang, Seng-Beng Ho, Erik Cambria
Multi-Level Fine-Scaled Sentiment Sensing With Ambivalence Handling, Zhaoxia Wang, Seng-Beng Ho, Erik Cambria
Research Collection School Of Computing and Information Systems
Social media represent a rich source of information, such as critiques, feedback, and other opinions posted online by Internet users. Such information is typically a good reflection of users’ sentiments and attitudes towards various services, topics, or products. Sentiment analysis has become an increasingly important natural language processing (NLP) task to help users make sense of what is happening in the Internet blogosphere and it can be useful for companies as well as public organizations. However, most existing sentiment analysis techniques are only able to analyze data at the aggregate level, merely providing a binary classification (positive vs. negative), and …
Multi-Level Head-Wise Match And Aggregation In Transformer For Textual Sequence Matching, Shuohang Wang, Yunshi Lan, Yi Tay, Jing Jiang, Jingjing Liu
Multi-Level Head-Wise Match And Aggregation In Transformer For Textual Sequence Matching, Shuohang Wang, Yunshi Lan, Yi Tay, Jing Jiang, Jingjing Liu
Research Collection School Of Computing and Information Systems
Transformer has been successfully applied to many natural language processing tasks. However, for textual sequence matching, simple matching between the representation of a pair of sequences might bring in unnecessary noise. In this paper, we propose a new approach to sequence pair matching with Transformer, by learning head-wise matching representations on multiple levels. Experiments show that our proposed approach can achieve new state-of-the-art performance on multiple tasks that rely only on pre-computed sequence-vectorrepresentation, such as SNLI, MNLI-match, MNLI-mismatch, QQP, and SQuAD-binary
Gdface: Gated Deformation For Multi-View Face Image Synthesis, Xuemiao Xu, Keke Li, Cheng Xu, Shengfeng He
Gdface: Gated Deformation For Multi-View Face Image Synthesis, Xuemiao Xu, Keke Li, Cheng Xu, Shengfeng He
Research Collection School Of Computing and Information Systems
Photorealistic multi-view face synthesis from a single image is an important but challenging problem. Existing methods mainly learn a texture mapping model from the source face to the target face. However, they fail to consider the internal deformation caused by the change of poses, leading to the unsatisfactory synthesized results for large pose variations. In this paper, we propose a Gated Deformable Face Synthesis Network to model the deformation of faces that aids the synthesis of the target face image. Specifically, we propose a dual network that consists of two modules. The first module estimates the deformation of two views …
Preface To The Special Issue On Advances In Argumentation In Artificial Intelligence, Pierpaolo Dondio, Luca Longo, Stefano Bistarelli
Preface To The Special Issue On Advances In Argumentation In Artificial Intelligence, Pierpaolo Dondio, Luca Longo, Stefano Bistarelli
Articles
Now at the forefront of automated reasoning, argumentation has become a key research topic within Artificial Intelligence. It involves the investigation of those activities for the production and exchange of arguments, where arguments are attempts to persuade someone of something by giving reasons for accepting a particular conclusion or claim as evident. The study of argumentation has been the focus of attention of philosophers and scholars, from Aristotle and classical rhetoric to the present day. The computational study of arguments has emerged as a field of research in AI in the last two decades, mainly fuelled by the interest from …
Beyond Reasonable Doubt: A Proposal For Undecidedness Blocking In Abstract Argumentation, Pierpaolo Dondio, Luca Longo
Beyond Reasonable Doubt: A Proposal For Undecidedness Blocking In Abstract Argumentation, Pierpaolo Dondio, Luca Longo
Articles
In Dung’s abstract semantics, the label undecided is always propagated from the attacker to the attacked argument, unless the latter is also attacked by an accepted argument. In this work we propose undecidedness blocking abstract argumentation semantics where the undecided label is confined to the strong connected component where it was generated and it is not propagated to the other parts of the argumentation graph. We show how undecidedness blocking is a fundamental reasoning pattern absent in abstract argumentation but present in similar fashion in the ambiguity blocking semantics of Defeasible logic, in the beyond reasonable doubt legal principle or …
Harnessing Artificial Intelligence Capabilities To Improve Cybersecurity, Sherali Zeadally, Erwin Adi, Zubair Baig, Imran A. Khan
Harnessing Artificial Intelligence Capabilities To Improve Cybersecurity, Sherali Zeadally, Erwin Adi, Zubair Baig, Imran A. Khan
Information Science Faculty Publications
Cybersecurity is a fast-evolving discipline that is always in the news over the last decade, as the number of threats rises and cybercriminals constantly endeavor to stay a step ahead of law enforcement. Over the years, although the original motives for carrying out cyberattacks largely remain unchanged, cybercriminals have become increasingly sophisticated with their techniques. Traditional cybersecurity solutions are becoming inadequate at detecting and mitigating emerging cyberattacks. Advances in cryptographic and Artificial Intelligence (AI) techniques (in particular, machine learning and deep learning) show promise in enabling cybersecurity experts to counter the ever-evolving threat posed by adversaries. Here, we explore AI's …
Research On The Strategy Of Adaptive Uvls Based On Rtds Simulation, Zhao Dan, Man Ji, Yunling Ni, Dengxin Liu, Weidong Wang
Research On The Strategy Of Adaptive Uvls Based On Rtds Simulation, Zhao Dan, Man Ji, Yunling Ni, Dengxin Liu, Weidong Wang
Journal of System Simulation
Abstract: Aiming at the improvement of the slow and unstable system voltage recovery after the low voltage load shedding load protected by centralized station area, the traditional low voltage load shedding load strategy will be researched. Considering the factors such as the power shortage and the important grade of the load, the power factor of the load to be cut is introduced, and the low load shedding model is established by minimizing the amount of cut load and minimizing the reactive power. The research is transformed into a belt Constrained multi-objective optimization research. The multi- objective particle swarm optimization algorithm …
Design Of Air Defense Missile Weapon System Simulation Platform Based On Xsim Platform, Kaizhi Ruan, Qingqing Yuan, Wenhua Zhai, Zhiqiang Zhang
Design Of Air Defense Missile Weapon System Simulation Platform Based On Xsim Platform, Kaizhi Ruan, Qingqing Yuan, Wenhua Zhai, Zhiqiang Zhang
Journal of System Simulation
Abstract: Taking the system simulation technology which applied to the scheme argumentation, optimization design, flight test forecast, battle effectiveness evaluation of air defense missile weapon system as background, the design method of air defense missile weapon system simulation platform based on Xsim platform was put forward. The total configuration design, model design and simulation process design of the platform were discussed. An simulation platform of an air defense missile weapon system was accomplished. The result proves the platform can simulate the battle process of air defense missile weapon system, support the simulation work of air defense weapon at different …
Analysis And Optimization Of Combustion Characteristics Of Cement Kiln Cooperatively Disposing Domestic Refuse, Jingbing Wu, Hanqing Tang, Xu Jun
Analysis And Optimization Of Combustion Characteristics Of Cement Kiln Cooperatively Disposing Domestic Refuse, Jingbing Wu, Hanqing Tang, Xu Jun
Journal of System Simulation
Abstract: Because the traditional methods can hardly analyze the complex combustion characteristics of cement kiln mixed with domestic refuse, a data mining technology is introduced. A domestic cement plant is selected as the object, and its operating data and relevant parameters are collected. The influence coefficient of each parameter on coal consumption and NOx emission is analyzed by using Stability Selection algorithm. The mathematical model of coal consumption and NOx emission is established with Random Forest algorithm, and the key optimization parameters and their optimal values are obtained by K-means clustering algorithm. The result shows that this method …
An Enhanced Multi-Modal Function Optimization Fireworks Algorithm Base On Loser-Out Tournament, Xiaoning Shen, Wang Qian, Huang Yao, You Xuan
An Enhanced Multi-Modal Function Optimization Fireworks Algorithm Base On Loser-Out Tournament, Xiaoning Shen, Wang Qian, Huang Yao, You Xuan
Journal of System Simulation
Abstract: An enhanced multi-modal fireworks algorithm based on the loser-out tournament is proposed. A new position-based mapping rule is used to map the explosion sparks beyond the upper boundary of the explosion space to the area near the upper boundary, and to map the one below the lower boundary to the area near the lower boundary. A strategy which adaptively adjusts the number of explosion sparks is introduced to better balance the global and local search abilities of the algorithm. The 28 functions in the CEC2013 standard test function set are selected to the test. Experimental results show that the …
A Xor-Based Visual Cryptography Scheme For (2, N) Access Structure With Ideal Structure Division, Yuqiao Cheng, Zhengxin Fu, Bin Yu
A Xor-Based Visual Cryptography Scheme For (2, N) Access Structure With Ideal Structure Division, Yuqiao Cheng, Zhengxin Fu, Bin Yu
Journal of System Simulation
Abstract: We propose a XOR-based visual cryptography scheme for (2, n) access structures. According to the definition of ideal access structure, the relationship of shares among the minimal qualified subsets is analyzed. And based on it, a division algorithm of access structures is presented with the theory of graph. By this approach, we can obtain the least number of ideal access structures. Additionally the processes of secret sharing and recovering are given. Experimental results show that this scheme can achieve a perfect secret recovery. Compared with existing schemes, the pixel expansion of our paper is the best.
Study On Hardware-In-Loop Simulation Of Space-Feed Low-Frequency Guidance With Turntable External, Linpeng Wang, Chaolei Wang, Yuting Dai
Study On Hardware-In-Loop Simulation Of Space-Feed Low-Frequency Guidance With Turntable External, Linpeng Wang, Chaolei Wang, Yuting Dai
Journal of System Simulation
Abstract: Low-frequency detection, tracking and guidance of stealthy targets need new requirements for hardware-in-loop simulation verification technology. Turntable built-in usually produces electromagnetic interference to seeker. A turntable external method for space- feed low-frequency guidance of hardware in- loop simulation system is proposed. The space-feed low-frequency guidance simulation model is established, and the influence of turntable electromagnetic interference on the seeker is completely eliminated by the turntable external. The simulation environment of non-inertial space motion is constructed to solve the information fusion problem of multiple spaces for hardware-in-loop simulation. The feasibility of the simulation method is verified. The results show that …
Study On Three-Dimensional Scene Sar Radio Frequency Simulation Technology, Guijie Diao, Ni Hong, Yang Liang
Study On Three-Dimensional Scene Sar Radio Frequency Simulation Technology, Guijie Diao, Ni Hong, Yang Liang
Journal of System Simulation
Abstract: Synthetic Aperture Radar (SAR) radio frequency simulation technology for three-dimensional scene is significant for SAR system test and the research of signal processing algorithms. A SAR radio frequency signal simulation is the core technology. Based on preliminary SAR frequency simulation scheme, a real-time SAR radio frequency signal simulation method for three-dimensional scene is proposed, and key parameters such as backward scattering coefficient, range between radar and target, shielding factor, antenna pattern weighting factor are calculated in real time according to the flight path information of SAR radar platform. Finally, the test results proved the validity of the method.
Matching Between Mac Address And Object Based On Rssi Change Sequence, Zhang Liang, Kaifeng Hao
Matching Between Mac Address And Object Based On Rssi Change Sequence, Zhang Liang, Kaifeng Hao
Journal of System Simulation
Abstract: The connection between real people and the MAC of the communications device is of high value to public and network security. A better solution was proposed to improve the existing methods. MAC and real-time RSSI changes of the communication device were obtained by multiple Wi-Fi probes, then the RSSI status change sequence was constructed. The distance between object and multiple Wi-Fi probes was obtained by the object tracking, and the sequence of distance state change was constructed. After two kinds of sequences were compared, the optimal result was selected as the matching result between the moving object and the …
State Of Charge Estimation Of The Lithium-Ion Battery Based On Improved Extended Kalman Particle Filter Algorithm, Xia Fei, Zhicheng Wang, Shuotao Hao, Daogang Peng, Beili Yu, Yimin Huang
State Of Charge Estimation Of The Lithium-Ion Battery Based On Improved Extended Kalman Particle Filter Algorithm, Xia Fei, Zhicheng Wang, Shuotao Hao, Daogang Peng, Beili Yu, Yimin Huang
Journal of System Simulation
Abstract: The three order Thevenin model of 18650 Lithium-Ion battery is established based on the experimental data of UTS divided capacity tester. The extended kalman filtering (EKF) algorithm is adopted as the important density function of particle filter (PF) algorithm, and the extended Kalman particle filter (EKPF) algorithm is formed. The sample degradation and lack of diversity in the re-sampling stage of EKPF algorithm is optimized by an improved re-sampling algorithm which based on a weight sorting and survival of the fittest particles. The improved EKPF algorithm is applied to estimate the State of Charge (SOC) of the three order …
Curvature-Based Bp Algorithm Optimization And Its Application In Fnn, Weili Xiong, Wenxin Sun, Xudong Shi
Curvature-Based Bp Algorithm Optimization And Its Application In Fnn, Weili Xiong, Wenxin Sun, Xudong Shi
Journal of System Simulation
Abstract: In order to improve the optimization efficiency of BP algorithm affected by the selection of step size, a step size optimization BP algorithm based on curvature information is proposed and applied to the training process of FNN (Fuzzy Neural Network). Reference to Newton's method, The gradient of the cost function and the curvature information in the direction are calculated to determine the direction and magnitude of the parameter adjustment in each iteration. This method only needs to consider the two order information of the gradient direction, so it does not need the storage and processing of Hessian matrix. The …
Low-Complexity Apit Algorithm And Its Opnet Simulation Of Underwater Acoustic Sensor Networks, Jiahui Xu, Keyu Chen, En Chen
Low-Complexity Apit Algorithm And Its Opnet Simulation Of Underwater Acoustic Sensor Networks, Jiahui Xu, Keyu Chen, En Chen
Journal of System Simulation
Abstract: Due to the energy limitations of underwater acoustic sensor networks, low-complexity location algorithms are more suitable for underwater acoustic sensor networks. The traditional APIT algorithm can obtain better location accuracy with less control overhead, which is beneficial to the location of underwater sensor networks, but it has high complexity and large redundancy errors. This paper proposes a low-complexity APIT algorithm replaced the traditional grid SCAN algorithm with a point scanning method, and builds an underwater acoustic sensor network environment on the OPNET platform, and elaborates the implementation process of the location algorithm in underwater sensor network. Simulation results …
Study On Infrared Radiation Of Nmp Recovery System In Lithium Battery Pole Piece, Yanjun Xiao, Yang Huan, Yanping Kang
Study On Infrared Radiation Of Nmp Recovery System In Lithium Battery Pole Piece, Yanjun Xiao, Yang Huan, Yanping Kang
Journal of System Simulation
Abstract: The structure design of the NMP recovery system in the lithium battery pole piece coating process has many technology difficulties, including the vacuum and infrared radiation heating technology. For vacuum system, after the analysis of its impact on the coating process, and the drying needs of the NMP recovery system, through the analytic hierarchy process, the most suitable infrared radiation heater type can be determined. The process of recovering gaseous NMP is numerically simulated, and the simulation results of the system flow performance are obtained. The parameters of the drying time, arrangement mode and other parameters are determined by …
Research On The Mvc-Based Generation Of Test Paper And The Algorithm Of Subjective Criterion, Cuicui Zhang, Guoxiang Zhou, Yu Lei, Shi Lei, Qingqing Wang
Research On The Mvc-Based Generation Of Test Paper And The Algorithm Of Subjective Criterion, Cuicui Zhang, Guoxiang Zhou, Yu Lei, Shi Lei, Qingqing Wang
Journal of System Simulation
Abstract: At home and abroad, the formed test system has a mature algorithm to the objective problem. However, there are still some problems in the subjective questioning. Therefore, it is feasible to design a MVC(Model View Controller) framework for the dynamic generation of papers, and to propose an automatic algorithm. In the paper volume generation system, the paper page is generated dynamically by the distributed view and the component loading technique. In the subjective automatic questioning algorithm, a bidirectional traversal space model algorithm is proposed, which uses the key words bidirectional matching and vector space model to calculate the answer …
Research On Evacuation Simulation Method Considering Social Behavior, Yuanyuan Deng, Liping Zheng, Ruiwen Cai
Research On Evacuation Simulation Method Considering Social Behavior, Yuanyuan Deng, Liping Zheng, Ruiwen Cai
Journal of System Simulation
Abstract: In an emergency evacuation scenario, the typical social attributes of an individual impact their evacuation behavior. Two kinds of social factors, such as individual familiarity to the environment and the individual group, are introduced and applied in crowd evacuation simulation. An evacuation simulation method is proposed. The real-time collision avoidance technique of RVO library is used to simulate the dynamic motion of the population. The local target points and its selection mechanism are used to simulate the different social behaviors of the population. Experiments show that the familiarity to the environment and group factors have influence on the evacuation …
Research On Flexray Network Optimization Based On Switched Message Scheduling Algorithm, Yinan Xu, Xiangqi Kong, Mengzhuo Liu
Research On Flexray Network Optimization Based On Switched Message Scheduling Algorithm, Yinan Xu, Xiangqi Kong, Mengzhuo Liu
Journal of System Simulation
Abstract: The development of vehicle electronic technology needs advanced in-vehicle communication network. Because of the high transmission speed, reliability and the flexible topology structure, the FlexRay network has become the most popular in-vehicle communication protocol in recent years. In order to meet the demand of network development, a scheduling algorithm based on switched FlexRay network was designed, and a new method that could calculate the Static segment and the worst case response time of Dynamic segment was put forward. The result of the simulation experiment shows that the transmission speed improves 26%, the slot number decreases by 44% and …
Cruise Missile Path Planning Based On Aco Algorithm And Bezier Curve Optimization, Shi Yan, Lihua Zhang, Shouquan Dong, Jue Wang
Cruise Missile Path Planning Based On Aco Algorithm And Bezier Curve Optimization, Shi Yan, Lihua Zhang, Shouquan Dong, Jue Wang
Journal of System Simulation
Abstract: For the low-altitude penetration of cruise missile, there is a large number of steering points and a larger steering angle in missile path planning based on ant colony algorithm. In order to solve this problem, a three-dimensional path planning method based on ant colony algorithm and Bezier curve optimization is proposed. The planning path node generated by ant colony algorithm was used as the control point to generate the flight path of Bezier curve, and then the curve was changed to be broken lines path. In order to avoid the unnavigable section, using the breadth first search algorithm to …
Research On Active Training Compliance Control Of Ankle Rehabilitation Robot, Yanbin Liu, Xiangyuan Pang, Yanbin Zhang, Bingjing Guo, Jianhai Han
Research On Active Training Compliance Control Of Ankle Rehabilitation Robot, Yanbin Liu, Xiangyuan Pang, Yanbin Zhang, Bingjing Guo, Jianhai Han
Journal of System Simulation
Abstract: In order to ensure that ankle rehabilitation robot can accurately supply arbitrary characteristic training force for patient during active training, the pneumatic muscle redundant parallel driving ankle rehabilitation robot was taken as research objects, the zero error force tracking method and the compliance control strategy for active training were researched. The dynamics model of the ankle rehabilitation robot were set up, based on the impedance control theory, the trajectory planning method for the zero error force tracking was researched, and based on the Lyapunov’s stability theory, the pneumatic muscle redundant parallel driving compliance control strategy was proposed. Rehabilitation training …
Final Presentation To The Library Of Congress On Digital Libraries, Intelligent Data Analytics, And Augmented Description, Elizabeth Lorang, Leen-Kiat Soh, Yi Liu, Chulwoo Pack
Final Presentation To The Library Of Congress On Digital Libraries, Intelligent Data Analytics, And Augmented Description, Elizabeth Lorang, Leen-Kiat Soh, Yi Liu, Chulwoo Pack
University of Nebraska-Lincoln Libraries: Presentations
This presentation to Library of Congress staff, delivered onsite on January 10, 2020, presents a tour through the demonstration project pursued by the Aida digital libraries research team with the Library of Congress in 2019-2020. In addition to providing an overview and analysis of the specific machine learning projects scoped and explored, this presentation includes a number of high-level take-aways and recommendations designed to influence and inform the Library of Congress's machine learning efforts going forward.
Digital Libraries, Intelligent Data Analytics, And Augmented Description: A Demonstration Project, Elizabeth Lorang, Leen-Kiat Soh, Yi Liu, Chulwoo Pack
Digital Libraries, Intelligent Data Analytics, And Augmented Description: A Demonstration Project, Elizabeth Lorang, Leen-Kiat Soh, Yi Liu, Chulwoo Pack
University of Nebraska-Lincoln Libraries: Faculty Publications
From July 16-to November 8, 2019, the Aida digital libraries research team at the University of Nebraska-Lincoln collaborated with the Library of Congress on “Digital Libraries, Intelligent Data Analytics, and Augmented Description: A Demonstration Project.“ This demonstration project sought to (1) develop and investigate the viability and feasibility of textual and image-based data analytics approaches to support and facilitate discovery; (2) understand technical tools and requirements for the Library of Congress to improve access and discovery of its digital collections; and (3) enable the Library of Congress to plan for future possibilities. In pursuit of these goals, we focused our …
The Future Of Work Now: Medical Coding With Ai, Thomas H. Davenport, Steven M. Miller
The Future Of Work Now: Medical Coding With Ai, Thomas H. Davenport, Steven M. Miller
Research Collection School Of Computing and Information Systems
The coding of medical diagnosis and treatment has always been a challenging issue. Translating a patient’s complex symptoms, and a clinician’s efforts to address them, into a clear and unambiguous classification code was difficult even in simpler times. Now, however, hospitals and health insurance companies want very detailed information on what was wrong with a patient and the steps taken to treat them— for clinical record-keeping, for hospital operations review and planning, and perhaps most importantly, for financial reimbursement purposes.