In this study, a muffler for the super heavy machinery in the 70 ton class is developed. Developing process relies on experimental and rule of thumb approach. Various muffler internal structures consisting of partition plates, perforated and non-perforated through pipes, and absorbent are tried and compared for the transmission loss performance. Based on the experimental results, the best combination and locations of the internal acoustic components which affects the muffler performance are determined.

User's sensitivity is recognized as a very important parameter for communication between company, government and personnel. Especially in many studies, researchers use voice tone, voice speed, facial expression, moving direction and speed of body, and gestures to recognize the sensitivity. Multiplex modality is more precise than single modality however it has limited recognition rate and overload of data processing according to multi-sensing also an excellent algorithm is needed to deduce the sensing value. That is as each modality has different concept and property, errors might be happened to convert the human sensibility to standard values. To deal with this matter, the sensibility expression modality is needed to be extracted using technologies like analyzing of relational network, understanding of context and digital filter from multiplex modality. In specific situation to recognize the sensibility if the priority modality and other surrounding modalities are processed to implicit values, a robust system can be composed in comparison to the consuming of computer resource. As a result of this paper, it is proposed how to assign the weight of multiplex modality using implicit data.