Authors: Dorrit Billman, Debra Schreckengost and Pardis Miri
Authors: Radhika Niranjan Mysore, Andreas Pamboris, Nathan Farrington, Nelson Huang, Pardis Miri, Sivasankar Radhakrishnan, Vikram Subramanya, and Amin Vahdat
I am excited about how to use new affordances of technology to more effectively engage, influence, shape, and change people's behavior for good by tapping into human emotion via wearable technology.
My reserach is a series of user-centric attempts to understand emotion and form novel ways to express and receive emotion via wearable technology.
I am interested in design and development of a system that targets immediate emotional expressivity over distance through technology affordances.
Wearable technologies either in the form of accessories (e.g. Google glasses, Haptic watches, EKG bracelets and etc.) or clothing with woven electronics and sensors are getting more publicity these days. The results of this study provide useful guidelines for a design of a user-friendly wearable smart clothing that allows non-verbal emotional expressivity.
Mental disorders are very common now days. According to the World Health Organization (WHO), mental illness — that is, any mental disorder — accounts for more disability in developed countries than any other group of illnesses, including cancer and heart disease. Yet, Most of the time, mental health concerns are often overlooked, or treated as minor.
Women suffer more from mental illness than men and yet research into the links between gender and mental health is not plentiful. About half a million women suffer from Postpartum Depression (PPD) every year in the United States. PPD is one of a strong predictor for suicidality in the postpartum period that emphasizes the importance of PPD screening during the postpartum period.
Newly developed measurment technology may be the answer to helping/screeing countless mothers whose postpartum depression is exacerbated by insomnia, disturbing thought and/or suicidal attempts. Affectiva, an emotion measurement technology, is a mobile wearable sensory device with the potential of providing estimates on early PPD diagnoses.
Notes
Increased system automation is critical for enabling more independent operation on long-duration and farther-distance space missions. Effective integration of human and automation elements is critical to success; this is demonstrated by the widespread involvement of poor Human-Automation Integration (HAI) design as a contributor to accidents and incidents in the sister application domain of aviation, where more data are available. While much is known about HAI design from research in aviation, long-duration space flight adds demands for robustness that are not well understood. HAI designs must be robust in supporting a variety of tasks playing out in circumstances that were impossible to fully anticipate, executed long after any training on these functions, by operators who must be competent in many types of work rather than specialists in any one.
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VoiceNote combines the functionality of a notepad and voice recorder. In this project, an EC2 Amazon Virtual Machine is configured both as a MySQL database and Apache Tomcat6 webserver. The purpose for this setup is to allow VoiceNotes users to subscribe and share their voice notes. VoiceNote allows users to highlight the most important parts of an audio recording, visually see those parts, trim the recording, uploadover the server, and share it.
Notes on EC2 Machine Setup
As data volume increases, scalability of hardware can rapidly become a problem. Hence, it is easy to make a mistake while wiring up switches, particularly in large scale systems like a data center. As a data center scales up, bad wirings or miswirings generally results in diminishing performance in terms of wasting bandwidth, losing reachability, having long forwarding tables and latency. Hence, it is both important and beneficial to identify whether limited number of changes such as add/remove wires and/or switches could be made to improve data center performance.
In computing environments having multiple computers, where such computers may comprise virtual machines, events are logged in association with corresponding activity identifiers. When a data packet associated with an activity is transferred to a destination machine, the activity identifier corresponding to the activity is transferred along with the data packet and used by the destination machine when logging its events. This allows events from the two machines to be correlated according to the activities to which they pertain.
Data center fabric is subject to many kinds of fault some introduced by faulty components, some introduced by operator errors, and some introduced by misconfiguration. In this talk, we look at the problem of evaluating the actual configuration of a data center fabric. Solving this problem allows the fabric engineers to understand the behavior of the fabric and make informed decisions on how it should be reconfigured or repaired, trading off issues such as cost, disruption, and physical limitations. This talk focuses on an important core problem in this space: given a known intended topology and the output of fat-tree like architecture, (1) report on the utility of the fabric as compared to the utility of the intended fabric; (2) come up with a complete and accurate list of the faults in the fabric; (3) give a repair plan that assigns priorities to which faults should be repaired first in order to increase utility.