Collaborating Authors

A Study on the UI of Musical Performance System and Score Representation

AAAI Conferences

This paper describes the development and evaluation of the UIs and Scores of musical performance system. The aim of this research is to provide a musical tool for elderly people and caregivers. The UIs are designed on tablet PCs, which look like keyboards. Five UIs are evaluated: plain keyboard, and keyboards with note names, numbers, colors and shapes. A staff notation score was used for the plain keyboard, and four types of scores represented by note names, numbers, colors and shapes were used for other UIs. The result of the experiment indicates that the UIs and scores of note name representation and number representation would be useful to play for people who are not familiar with staff notation and that those of number representation would be useful to play and sing at the same time. The result also indicates that the UI and scores of color representation could be used for some people who have difficulty reading numbers. It is also indicated that people in their 60s and 70s can use the UI and scores of number representation.

SAG Awards 2017 Presenters List: Who Is Nominated And Which Celebrities Will Be Attending?

International Business Times

It's time for the Screen Actors Guild Awards to take center stage. The SAG Awards will continue award season by honoring the best in movies and television on Sunday night at the 23rd annual show. Before you tune in, find out who is nominated and which A-listers will be presenting at the 2017 event. Several of this year's nominees are playing double duty. "Manchester by the Sea" star Casey Affleck and "Mr Fantastic" lead Viggo Mortensen are nominated in the outstanding performance by a male actor in a leading role category and are both presenting this Sunday.


AAAI Conferences

The internet has enabled collaborations at a scale never before possible, but the best practices for organizing such large collaborations are still not clear. Wikipedia is a visible and successful example of such a collaboration which might offer insight into what makes large-scale, decentralized collaborations successful. We analyze the relationship between the structural properties of WikiProject coeditor networks and the performance and efficiency of those projects. We confirm the existence of an overall performance-efficiency trade-off, while observing that some projects are higher than others in both performance and efficiency, suggesting the existence factors correlating positively with both. Namely, we find an association between low-degree coeditor networks and both high performance and high efficiency.

A Boo(n) for Evaluating Architecture Performance Machine Learning

We point out important problems with the common practice of using the best single model performance for comparing deep learning architectures, and we propose a method that corrects these flaws. Each time a model is trained, one gets a different result due to random factors in the training process, which include random parameter initialization and random data shuffling. Reporting the best single model performance does not appropriately address this stochasticity. We propose a normalized expected best-out-of-$n$ performance ($\text{Boo}_n$) as a way to correct these problems.

Policies to Optimize Work Performance and Thermal Safety in Exercising Humans

AAAI Conferences

Emergency workers engaged in strenuous work in hot environments risk overheating and mission failure. We describe a real-time application that would reduce these risks in terms of a real-time thermal-work strain index (SI) estimator; and a Markov Decision Process (MDP) to compute optimal work rate policies. We examined the thermo-physiological responses of 14 experienced U.S. Army Ranger students (26±4 years 1.77±0.04 m; 78.3±7.3 kg) who participated in a strenuous 8 mile time-restricted pass/fail road march conducted under thermally stressful conditions. A thermoregulatory model was used to derive SI state transition probabilities and model the students’ observed and policy driven movement rates. We found that policy end-state SI was significantly lower than SI when modeled using the student’s own movement rates (3.94±0.88 vs. 5.62±1.20, P<0.001). We also found an inverse relationship between our policy impact and maximum SI (r=0.64 P<0.05). These results suggest that modeling real world missions as an MDP can provide optimal work rate policies that improve thermal safety and allow students to finish in a “fresher” state. Ultimately, SI state estimation and MDP models incorporated into wearable physiological monitoring systems could provide real-time work rate guidance, thus minimizing thermal work-strain while maximizing the likelihood of accomplishing mission tasks.