Computer Science Advisor: Prof. Robert Signorile Intelligent Entities in a Distributed Simulation Environment Abstract In addressing the growing model sizes used in simulation environments, I examine adding machine learning techniques to the entities in a model in an effort to produce such side effects as emergent behavior. Distributing the environment in order to increase the efficiency of the...

One of the problems that occur in our earth is air pollution and depletion fossil fuel stocks. Researchers want to make research on how burns completely, so resulting exhaust gas environmentally friendly. In addition, this expected as an education comparison before after turbofan given. This study will control AFR (Air Fuel Ratio) intake get right ratio stoichiometry. By controlling into engine...

Current interactive systems that rely on machine learning techniques have little, if any, support for intelligibility. That is, users are unable to ask why a machine learning system made a particular prediction or classification, or why it suggested a particular action be taken. In our work, we look at the need for intelligibility in machine learning (and other complex) systems, and mechanisms ...

Late detection of new types of faults often results in the evolution of faulttolerance requirements while developers have already created design artifacts. Thus, the reuse of an existing design in the development of a fault-tolerant version thereof has the potential to reduce the overall development costs. Moreover, the automation of such a reuse yields a fault-tolerant design that is correct b...

Machine translation makes it easy for people to communicate across languages. Multimodal machine is also one of the important directions research in translation, which uses feature information such as images and audio assist models obtaining higher quality target However, vast majority current work has been conducted on basis commonly used corpora English, French, German, less done low-resource...