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Object detection is one of the important problems for autonomous robots. Faster R-CNN, one of the state-of-the-art object detection methods, approaches real time application; nevertheless, computational time lies borderline of real time application, i.e. 5fps with VGG16 model in K40 GPU system in [1]. Moreover, computation time depends on model and image crop size, but precision is also affected;...
This paper presents a data mining technique for qualitative analysis of Hodgkin-Huxley model of cell excitability. Such problem cannot be solved analytically. Therefore we apply Monte-Carlo techniques for the generation of model parameters, and use data mining algorithm for classification of learning tuples obtained. As a result we attain a decision tree capable of classifying the excitability depending...
Failures at degumming and bleaching process in palm oil refining affect plant performance, production delay, and loss to the company. In current practice, troubleshooting in these process relies on human knowledge and trial and error method which can caused other failures and time consuming. In this study, fuzzy logic model was developed for troubleshooting degumming and bleaching process using Mamdani...
Interaction between wearable robot and the user may cause skin injury, especially the pressure ulcers due to sustained pressure at the connection site. In this study, relationship between pressure ulcer breakout time and applied pressure which is the major cause of pressure ulcer is modeled using human experimental data. The model is proposed to be used to limit the wearable robot use time depending...
In 2015 an outbreak of Middle East Respiratory Syndrome (MERS) has occurred in South Korea, which has been known to be the second biggest outbreak of MERS so far. In this paper we study an estimation of the basic reproduction number of the coronavirus (CoV) of MERS based on the reported data from the MERS spread in South Korea. To this end we employ a mathematical model described by a set of ordinary...
This paper proposes methods for the development of mathematical models and for the control of operation modes of technological objects in oil refinery in face of uncertainty based on fuzzy information. The mathematical formulation of the problem of decision-making on controlling modes, which are solved on the basis of mathematical modeling, is formalized and obtained. By using the example of the problem...
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