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Articles 24871 - 24900 of 5150646
Full-Text Articles in Entire DC Network
Utilizing Impulsive Inputs For Identification Of Robot Inertial Parameters Without Acceleration Information, Nilay Kant
Utilizing Impulsive Inputs For Identification Of Robot Inertial Parameters Without Acceleration Information, Nilay Kant
2026 LSU Symposium on Control, Learning, and Intelligent Systems
No abstract provided.
Control Of Four-Link Planar Hopping Locomotion, Amer Allafi, Aakash Khandelwal, Ranjan Mukherjee
Control Of Four-Link Planar Hopping Locomotion, Amer Allafi, Aakash Khandelwal, Ranjan Mukherjee
2026 LSU Symposium on Control, Learning, and Intelligent Systems
No abstract provided.
Planar Juggling Of A Devil-Stick Using Discrete Vhcs, Aakash Khandelwal, Ranjan Mukherjee
Planar Juggling Of A Devil-Stick Using Discrete Vhcs, Aakash Khandelwal, Ranjan Mukherjee
2026 LSU Symposium on Control, Learning, and Intelligent Systems
No abstract provided.
Dqn-Based Event-Triggered Control Over Unreliable Channels, Zahra Hashemi, Dipankar Maity
Dqn-Based Event-Triggered Control Over Unreliable Channels, Zahra Hashemi, Dipankar Maity
2026 LSU Symposium on Control, Learning, and Intelligent Systems
No abstract provided.
Unbalancing Second-Life Battery Pack With Bidirectional Dc/Dc Converter For Extending Life, Zhicheng Xu, Yuichi Kajiura, Wonoo Choo, Jorge Espin, Dong Zhang
Unbalancing Second-Life Battery Pack With Bidirectional Dc/Dc Converter For Extending Life, Zhicheng Xu, Yuichi Kajiura, Wonoo Choo, Jorge Espin, Dong Zhang
2026 LSU Symposium on Control, Learning, and Intelligent Systems
No abstract provided.
Co-Design And Optimal Control Of A 2d Tendon-Driven Continuum Leg For Fast And Energy-Efficient Motion, Setayesh Yavari, Faith O. Olawoyin, David A. Emerson, Hunter B. Gilbert
Co-Design And Optimal Control Of A 2d Tendon-Driven Continuum Leg For Fast And Energy-Efficient Motion, Setayesh Yavari, Faith O. Olawoyin, David A. Emerson, Hunter B. Gilbert
2026 LSU Symposium on Control, Learning, and Intelligent Systems
No abstract provided.
System Identification For An Impedance-Controlled Exoskeleton, Mason D. Mathias, Chad G. Rose, Rhet O. Hailey
System Identification For An Impedance-Controlled Exoskeleton, Mason D. Mathias, Chad G. Rose, Rhet O. Hailey
2026 LSU Symposium on Control, Learning, and Intelligent Systems
No abstract provided.
Rumor Propagation And Regulation: A Graphon Game Approach With Stackelberg Control, Huaning Liu, Gokce Dayanikli
Rumor Propagation And Regulation: A Graphon Game Approach With Stackelberg Control, Huaning Liu, Gokce Dayanikli
2026 LSU Symposium on Control, Learning, and Intelligent Systems
No abstract provided.
Dependency Encoding Within Set-Based State Estimation, Jonas R. Wagner, Justin Ruths
Dependency Encoding Within Set-Based State Estimation, Jonas R. Wagner, Justin Ruths
2026 LSU Symposium on Control, Learning, and Intelligent Systems
No abstract provided.
Methodology For Executing Optimal Nonlinear Trajectories On Resource-Constrained Hardware, Juraj Lieskovský, Nyi Nyi Aung, Karan Baker, Adrian Stein, Jaroslav Busek
Methodology For Executing Optimal Nonlinear Trajectories On Resource-Constrained Hardware, Juraj Lieskovský, Nyi Nyi Aung, Karan Baker, Adrian Stein, Jaroslav Busek
2026 LSU Symposium on Control, Learning, and Intelligent Systems
No abstract provided.
Control System Development For Wave Energy Converters With Active Mechanical Motion Rectifier, Lisheng Yang, Zechuan Lin, John Vincent Ringwood, Lei Zuo
Control System Development For Wave Energy Converters With Active Mechanical Motion Rectifier, Lisheng Yang, Zechuan Lin, John Vincent Ringwood, Lei Zuo
2026 LSU Symposium on Control, Learning, and Intelligent Systems
No abstract provided.
Modal Supervisory Coordination Of Power Source Transitions In Data Centers Via Lingua Franca And Simulink Co-Simulation, Md Rubel Ahmed, Md Kibria Saroare
Modal Supervisory Coordination Of Power Source Transitions In Data Centers Via Lingua Franca And Simulink Co-Simulation, Md Rubel Ahmed, Md Kibria Saroare
2026 LSU Symposium on Control, Learning, and Intelligent Systems
No abstract provided.
Entropy-Aware Model Predictive Control For Transient Quality Mitigation In Metal Additive Manufacturing, Md Shafikul Islam, Mahathir Mohamamd Bappy, Saifur Rahman Tushar
Entropy-Aware Model Predictive Control For Transient Quality Mitigation In Metal Additive Manufacturing, Md Shafikul Islam, Mahathir Mohamamd Bappy, Saifur Rahman Tushar
2026 LSU Symposium on Control, Learning, and Intelligent Systems
No abstract provided.
Markerless Estimation Of Ground Reaction Forces From Video For Biomechanical Assessment In Orthotics And Prosthetics, Ricki M. Pierce, Hunter Gilbert, Hyun Kim
Markerless Estimation Of Ground Reaction Forces From Video For Biomechanical Assessment In Orthotics And Prosthetics, Ricki M. Pierce, Hunter Gilbert, Hyun Kim
2026 LSU Symposium on Control, Learning, and Intelligent Systems
No abstract provided.
Model-Reference Adaptive Flight Control Of The 95-Mg Bee++, Francisco Goncalves, Conor K. Trygstad, Nestor O. Perez-Arancibia
Model-Reference Adaptive Flight Control Of The 95-Mg Bee++, Francisco Goncalves, Conor K. Trygstad, Nestor O. Perez-Arancibia
2026 LSU Symposium on Control, Learning, and Intelligent Systems
No abstract provided.
A Multi-Scale Hierarchical Framework For Long-Horizon Sequential Robotic Manipulation, Mahdi Bonyani, Maryam Soleymani, Chao Wang Phd
A Multi-Scale Hierarchical Framework For Long-Horizon Sequential Robotic Manipulation, Mahdi Bonyani, Maryam Soleymani, Chao Wang Phd
2026 LSU Symposium on Control, Learning, and Intelligent Systems
No abstract provided.
Anticipatory Exoskeleton Control In Low-Illumination Via Multi-Stream Spatial-Temporal Graph Convolutional Networks, Maryam Soleymani, Mahdi Bonyani, Chao Wang Phd
Anticipatory Exoskeleton Control In Low-Illumination Via Multi-Stream Spatial-Temporal Graph Convolutional Networks, Maryam Soleymani, Mahdi Bonyani, Chao Wang Phd
2026 LSU Symposium on Control, Learning, and Intelligent Systems
No abstract provided.
Learning Hidden Control Laws For Gps Spoofing Via Unknown-Input Estimation And Reservoir Computing, Seif O. Elsabagh, Wenbin Wan
Learning Hidden Control Laws For Gps Spoofing Via Unknown-Input Estimation And Reservoir Computing, Seif O. Elsabagh, Wenbin Wan
2026 LSU Symposium on Control, Learning, and Intelligent Systems
No abstract provided.
Multiagent Social Influence: Modeling Persuasion In Contested Social Networks, Renukanandan Tumu, Cristian Ioan Vasile, Victor Preciado, Rahul Mangharam
Multiagent Social Influence: Modeling Persuasion In Contested Social Networks, Renukanandan Tumu, Cristian Ioan Vasile, Victor Preciado, Rahul Mangharam
2026 LSU Symposium on Control, Learning, and Intelligent Systems
No abstract provided.
Scene-Aware Multimodal Grounding For Verifiable Robot Task Planning, Kshitiz Dhungana, Nina Jiang
Scene-Aware Multimodal Grounding For Verifiable Robot Task Planning, Kshitiz Dhungana, Nina Jiang
2026 LSU Symposium on Control, Learning, and Intelligent Systems
No abstract provided.
Impedance Addition As A Control Primitive Unifying Kinematic And Kinetic Behavior, Hunter B. Gilbert
Impedance Addition As A Control Primitive Unifying Kinematic And Kinetic Behavior, Hunter B. Gilbert
2026 LSU Symposium on Control, Learning, and Intelligent Systems
No abstract provided.
Newton-Flow Particle Filters Based On Generalized Cramér Distance, Uwe D. Hanebeck
Newton-Flow Particle Filters Based On Generalized Cramér Distance, Uwe D. Hanebeck
2026 LSU Symposium on Control, Learning, and Intelligent Systems
No abstract provided.
Gap Metrics For Model Fidelity Quantification In Dynamical Systems, Quintin Nelson, Manoranjan Majji
Gap Metrics For Model Fidelity Quantification In Dynamical Systems, Quintin Nelson, Manoranjan Majji
2026 LSU Symposium on Control, Learning, and Intelligent Systems
No abstract provided.
Gantry Crane Payload Control Using Reference Governing Simulations, Sean Maki, Adrian Stein
Gantry Crane Payload Control Using Reference Governing Simulations, Sean Maki, Adrian Stein
2026 LSU Symposium on Control, Learning, and Intelligent Systems
No abstract provided.
User Interaction, Service Effectiveness And Digital Resource Utilization In Private University Libraries Telangana State: An Empirical Study, Chandra Chary Sreeramoj, Dr. M. Sadik Batcha
User Interaction, Service Effectiveness And Digital Resource Utilization In Private University Libraries Telangana State: An Empirical Study, Chandra Chary Sreeramoj, Dr. M. Sadik Batcha
Library Philosophy and Practice (e-journal)
The purpose of this study is to observe the operational design, cognizance levels, complications faced and complete fulfillment of users regarding numerical resources in designated private university libraries in the state of Telangana. The study predominantly emphasizes on graduates, postgraduates, research scholars, and faculty members of Malla Reddy University and S.R. University. The study adopted quantitative descriptive design, and data were collected by means of a Google Form survey, resulting in 1796 legal valid responses. The examination included descriptive statistics, Chi-square tests and ANOVA to classify variances across different user groupings. The outcomes reveal that most respondents are mindful of …
The Feasibility Of A Single Educational Intervention To Improve Caregiver Confidence In Stroke Rehabilitation, Angelica Fedorchak, Jennifer E. Lape
The Feasibility Of A Single Educational Intervention To Improve Caregiver Confidence In Stroke Rehabilitation, Angelica Fedorchak, Jennifer E. Lape
Internet Journal of Allied Health Sciences and Practice
Purpose: Caregivers play a critical role in providing support to stroke survivors during recovery, but they often face emotional, physical, and educational challenges that can lead to caregiver burden and burnout. Despite the significant impact education can have on caregivers, rehabilitation professionals in inpatient rehabilitation settings often struggle to provide comprehensive training due to time constraints and strict productivity standards. This feasibility study aimed to evaluate whether an individualized one-time caregiver education session, integrated into the discharge planning process, could enhance caregiver confidence and whether the necessary education could be practically integrated into the existing staffing, reimbursement, and organizational structure …
Designing Robust Physiotherapy Trials: When And How To Use The Randomized Crossover Model, Manish P. Shukla, Gaurav Chhabra, Ashish Shankarrao Deshmukh, Neha Sachin Chaudhary, Neha Deshmukh
Designing Robust Physiotherapy Trials: When And How To Use The Randomized Crossover Model, Manish P. Shukla, Gaurav Chhabra, Ashish Shankarrao Deshmukh, Neha Sachin Chaudhary, Neha Deshmukh
Internet Journal of Allied Health Sciences and Practice
Problem: Physiotherapy research increasingly requires methodological precision and clinical relevance. Among available designs, the randomized crossover model offers distinct advantages by allowing each participant to serve as their own control, thereby reducing inter-individual variability and improving statistical efficiency. Purpose: This perspective article discusses how appropriately designed crossover trials can enhance the quality and interpretability of physiotherapy research when applied under stable clinical conditions and with adequate washout periods. Methods: Three representative crossover studies illustrate these principles across physiotherapy specialties. In musculoskeletal practice, manual therapy for thoracic pain demonstrated measurable reductions in paraspinal electromyographic activity following counterstrain compared with spinal manipulation. …
A Comparator-Free Architecture For Maximum Product-Exponent Detection Via Or-Bucketing, N/A, N/A
A Comparator-Free Architecture For Maximum Product-Exponent Detection Via Or-Bucketing, N/A, N/A
Defensive Publications Series
This publication describes a hardware architecture for floating-point dot-product arrays that performs exponent alignment using a comparator-free OR-bucketing topology. The architecture uses spatial unrolling to create a single-cycle, parallel-prefix logic tree that is purely combinational. The design exploits algebraic properties to cancel out exponent biases during alignment, which allows the primary timing path to remain completely unsigned and free of bias subtractors. By managing excess timing slack, the system supports various operating modes for artificial intelligence accelerators, including high-throughput and high-efficiency modes. Keywords: floating-point, dot-product array, exponent alignment, OR-bucketing, spatial unrolling, bias cancellation, parallel-prefix logic, artificial intelligence accelerator.
Context-Driven Firewall Policy Profile Generation, Niranjan M M
Context-Driven Firewall Policy Profile Generation, Niranjan M M
Defensive Publications Series
Enterprise security environments have become increasingly complex due to hybrid work models, multiple access paths such as wireless local area network (WLAN), virtual private network (VPN), and Zero Trust Network Access (ZTNA), diverse device types, and evolving threat patterns. Modern firewalls and access platforms can consume contextual signals such as identity, device posture, time, and location, but commonly rely on static, rule-based enforcement and one-time access decisions. Proposed herein is an agentic artificial intelligence (AI) framework that continuously evaluates multidimensional access context and dynamically generates or adapts firewall security posture during a session lifecycle. The system derives session-level risk from …
Mathematical Verification And Automated Translation Of Security Policies Across Container Orchestration Platforms, Utkarsh Bhardwaj, Shivank Awasthi
Mathematical Verification And Automated Translation Of Security Policies Across Container Orchestration Platforms, Utkarsh Bhardwaj, Shivank Awasthi
Defensive Publications Series
The described technology provides an automated platform for translating security policies from a source container orchestration system to a target container orchestration system. A universal intermediate representation, structured as a directed multigraph, captures security intents which are mapped to target-native primitives. Formal mathematical methods verify that the generated policies are equivalent to the original intents. Additional features include regulatory compliance validation utilizing a compliance knowledge graph, attack surface quantification across four distinct axes, the generation of cryptographic audit certificates, and parallel processing to avoid state explosion. Keywords: Automated Policy Translation, Formal Verification, Container Orchestration, Cloud Migration, Directed Multigraph, Satisfiability Modulo …