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EMS-Supported Throwing: Preliminary Investigation on EMS-Supported Training of Movement Form
We propose a learning support system with extremely low latency and low cognitive load to correct the user’s motion. In previous studies, visual and... -
A-EMS: An Adaptive Emergency Management System for Autonomous Agents in Unforeseen Situations
Reinforcement learning agents are unable to respond effectively when faced with novel, out-of-distribution events until they have undergone a... -
Effects of Electrical Muscle Stimulation on Memorability of Hand Gestures: A Preliminary Study
While images and videos can be used to self-learn hand gestures, it can be difficult to learn gestures accurately in terms of the fingers one has to... -
Biocompatible Electric Muscle Stimulation Pads with Enhanced Skin Adhesion for Stable Signal Transmission During Varied Physical Movements
This paper introduces a novel approach for designing and fabricating biocompatible and efficient electric muscle stimulation (EMS) pads. The EMS pads... -
Modern Experiment Management Systems Architecture for Scientific Big Data
Experiment management systems (EMS) have more than twenty-five years of history. From small desktop prototypes to large-scale distributed systems,... -
Supporting Fair and Efficient Emergency Medical Services in a Large Heterogeneous Region
Emergency Medical Services (EMS) are crucial in delivering timely and effective medical care to patients in need. However, the complex and dynamic...
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Energiereduzierung und-optimierung
Ein Energie Management System (EMS) ist ein System, das zur Optimierung des Energieverbrauchs und der Energieeffizienz in verschiedenen Bereichen... -
Open-access tools for the modelling and simulation of electricity markets
Globally, the amount of renewable energy generation is increasing, which raises the complexity of operating electrical grids to maintain stability...
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AE-LSTM Based Anomaly Detection System for Communication Over DNP 3.0
Energy Management System (EMS) communicates with power plants and substations to maintain the reliability and efficiency of power supplies. EMS... -
Electrical Muscle Stimulation System for Automatic Reproduction of Secret Information Without Exposing Biometric Data
Biometric data is personal information, which leads to the psychological resistance of the user. Using biometric-based FIDO authentication eliminates... -
A generalized expectation model selection algorithm for latent variable selection in multidimensional item response theory models
In this paper, we propose a generalized expectation model selection (GEMS) algorithm for latent variable selection in multidimensional item response...
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A Survey on Recent Optimization Strategies in Ambulance Dispatching and Relocation Problems
The COVID-19 pandemic disrupted and posed significant challenges to the healthcare transportation system. Since the pandemic spread around the world... -
Development of the Simulation Model of Complex Evaluation of the Quality of the Emergency Medical Services
The research is dedicated to the questions of development of the simulation model of the complex evaluation of the quality of the emergency medical... -
Adaptive Low-Cost Loop Expansion for Modulo Scheduling
This paper presents a novel modulo scheduling method, which is called Expanded Modulo Scheduling (EMS). Unlike existing methods which regard loop... -
Performance evaluation of AR/VR training technologies for EMS first responders
The first responder training sector presents crucial difficulties on adopting “future of work” online training principles because physical (muscle)...
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A Hierarchical Knowledge Framework for Digital Twins of Buildings and Their Energy Systems (Position Paper)
This position paper explores applying the Data, Information, Knowledge, Wisdom (DIKW) framework to Digital Twins of buildings and their energy... -
Strategic Decision-Making in Trauma Systems
Trauma care and trauma systems are vital community assets. A trauma system manages the treatment of severely injured people and spans the full... -
Implementing Distributed Feedback in a Tool that Supports Peer-to-Peer Simulation in Healthcare
MedDbriefer is a web based ITS designed to enable healthcare students to do clinical scenarios anytime, anywhere. While one student “voice treats” a... -
Automated classification of emphysema using data augmentation and effective pixel location estimation with multi-scale residual network
In modern medical diagnosis also, the emphysema is still recognized by the computed tomography (CT) scans with a set of defined patterns as a...
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Benchmarking Deep Reinforcement Learning Based Energy Management Systems for Hybrid Electric Vehicles
Energy management strategy (EMS) is important for improving the fuel economy of hybrid electric vehicles (HEVs). Deep reinforcement learning...