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1. Minoru kurata smart trash can drivers#
2. Minoru kurata smart trash can driver#
3. Minoru kurata smart trash can verification#

Mini Symposium: Emerging Methods in Signal Processing, Machine Learning andĬontrol for Novel Investigations of High-Dimensional Brain DataĮmerging Methods in Signal Processing, Machine Learning and Control for Novel Investigations of High-Dimensional Brain Data Keynote Speaker Theme 4 Ricardo Armnetano, Universidad De La Republica Keynote Speaker Theme 2 Julia Schnabel, Helmholtz Center Munich and

Minoru kurata smart trash can verification#

This mini-symposium will include presentations that review current VVUQ best practices, as well as academic, industrial, and clinical studies that include verification and/or validation approaches to establish model credibility for a variety of electromagnetic therapeutic systems. The processes of verification, validation, and uncertainty quantification (VVUQ) provide a methodology for establishing that a model is credible for decision-making. Meanwhile, testing of therapeutic systems in humans is often not possible without exposing test subjects to potential harm.Ĭomputational modeling and simulation tools offer strong potential to serve as a platform for evaluating the safety of electromagnetic therapeutic systems with no patient harm, but model credibility remains a challenge. For example, ex vivo tissue models typically do not account for the effects of blood perfusion, and animal models may not provide a suitable representation of the disease in humans. While benchtop experiments in phantoms and in vivo animal testing can provide some insights into the potential safety and efficacy of a therapeutic technology, these testing environments may differ considerably from the tissue anatomic and physiologic state in humans. The safety of each treatment modality must also be considered since the interaction between applied electromagnetic energy and human tissue may cause tissue heating and potentially irreversible tissue damage. In each of these applications, there is a desire to understand the ability of the therapeutic system to target the electrical energy to a specific site(s) within the human body. Treatments include tumor-treating fields, electroconvulsive therapy, electrical neuro-stimulation, deep-brain stimulation, magnetic stimulation, and thermal therapies. Keywords: Models and simulations of therapeutic devices and systems, Computer modeling for treatment planning, Therapeutic devices and systems - ablation systems and technologiesĪbstract: Electromagnetic therapies rely on the targeted energy deposition as a medical treatment for a variety of pathological conditions in humans. Verification and Validation of Computational Models in Electrotherapeutics Mini Symposium: Verification and Validation of Computational Models inĮlectrotherapeutics Organizer: Marc Horner

Minoru kurata smart trash can drivers#

Finally, the session will discuss current approaches to alert drivers about their drowsiness while driving. Different techniques for real-time monitoring of fatigue-related parameters will be presented and it will be discussed whether the standard sources of information used to detect drowsiness can also be used to predict when a given drowsiness level will be reached.

Minoru kurata smart trash can driver#

The planned session will start dealing with the causes of driver drowsiness. The European Respiratory Society has established a Task Force to address the topic of sleep apnea, sleepiness and driving. A recent report from the AAA estimates that almost ten percent of vehicle accidents involve drowsy driving, while another survey from the German ADAC has found out that one fourth of car drivers and almost half of the truck drivers have fallen asleep during driving. Keywords: Sleep - Cardiovascular & Metabolic consequences of sleep disorders, Cardiovascular, respiratory, and sleep devices - Smart systems, Cardiovascular, respiratory, and sleep devices - SensorsĪbstract: Driver drowsiness has been a vastly underestimated cause of traffic accidents due to the difficulty in establishing whether a driver involved in a crash was drowsy.