Applied science

About: Applied science is a research topic. Over the lifetime, 1178 publications have been published within this topic receiving 19920 citations. The topic is also known as: applied sciences.

Multidisciplinary Undergraduate Nano-Science, Engineering and Technology Course

Abstract: Using basic fundamentals, engineering and science encompass continuously evolving technologies. In response to these changes and emerging opportunities, engineering and science curricula evolve revisiting program objectives, goals and outcomes. By integrating various disciplines and tools, nanotechnology-centered engineering and science provides a multidisciplinary approach to these needed curricula changes needed to meet societal challenges and industry needs. Extensive advances in biotechnology, electronics, energy sources, information technology and nanosystems, have brought new challenges to academia. As a result, many engineering and science schools have revised their curricula to offer relevant courses. At the RIT, a cross-listed (Electrical Engineering and Physics) multidisciplinary sophomore-level Nano-Science, Engineering and Technology (NanoSET) course has been developed and offered with support from the National Science Foundation. This course is offered as a restricted science elective within the Electrical Engineering curriculum, while students from various science and engineering departments can take the course as a science or free elective. This paper reports the course goals, objectives, emphasis, coverage, accomplishments, dissemination and assessment. Strategies for interactive team-teaching, material delivery and coverage are reported. We articulate our innovative practice and strategies for teaching nanotechnology inside and outside of the classroom through lectures, workshops and laboratories. We emphasize the need for large-scale coherent efforts in defining and developing nanotechnology at the college, institutional and multi-institutional levels. To pursue the nanotechnology-centered developments and educational innovations, a number of obstacles and impediments should need to be overcome, and serious long-term commitments are needed.

Toward a Quantitative Theory of Intellectual Discovery (Especially in Physics).

Abstract: By the study of time intervals in a subjective yet consistently chosen temporally ordered list of the critical ideas which comprise Physics, a quantitative theory of the growth of these ideas is inferred which takes the entirely plausible form that the rate of growth of ideas is proportional to the totality of known ideas multiplied by the totality of people in the world. There is some slight titillating indication in the data that the rate of fundamental discovery in Physics has been decreasing abnormally over the past 50 years.

Natural language processing based nutritional application

Abstract: The ability to accurately and efficiently track nutritional intake is a powerful tool in combating obesity and other food related diseases. Currently, many methods used for this task are time consuming or easily abandoned; however, a natural language based application that converts spoken text to nutritional information could be a convenient and effective solution. This thesis describes the creation of an application that translates spoken food diaries into nutritional database entries. It explores different methods for solving the problem of converting brands, descriptions and food item names into entries in nutritional databases. Specifically, we constructed a cache of over 4,000 food items, and also created a variety of methods to allow refinement of database mappings. We also explored methods of dealing with ambiguous quantity descriptions and the mapping of spoken quantity values to numerical units. When assessed by 500 users entering their daily meals on Amazon Mechanical Turk, the system was able to map 83.8% of the correctly interpreted spoken food items to relevant nutritional database entries. It was also able to find a logical quantity for 92.2% of the correct food entries. Overall, this system shows a significant step towards the intelligent conversion of spoken food diaries to actual nutritional feedback. Thesis Supervisor: James Glass Title: Senior Research Scientist