Managing building defects in the residential environment is an important social issue South Korea. Therefore, most Korean construction companies devote a large amount of human resources and economic costs managing such defects. This paper proposes machine learning approach for investigating whether specific defect can be autonomously categorized into one categories repair tasks. To this end, we...

Manufacturing converts raw materials into finished products using machine tools for controlled material removal or deposition. It can be observed sensors installed within and around tools. These measure quantities, such as vibrations, cutting forces, temperature, currents, power consumption, acoustic emission, to diagnose defects enable zero-defect manufacturing part of the Industry 4.0 vision....

Machine maintenance is modeled in the setting of a single-server queue. Machine deterioration corresponds to slower service rates and failure. This leads to higher congestion and an increase in customer holding costs. The decision-maker decides when to perform maintenance, which may be done preemptively; before catastrophic failures. Similar to classic maintenance control models, the informatio...

The authors have been involved in developing an automated inspection system, based on machine vision, to improve the repair coating quality control (RCQ control) in can ends of metal containers for fish food. The RCQ of each end is assesed estimating its average repair coating quality (ARCQ). In this work we present a fuzzy model building to make the acceptance/rejection decision for each can e...

The repair ligation-mediated light-producing DNA machine can produce light through transforming the repetitive DNA cleavage/ligation motions into optical energy without the requirement of either external reporting reagents or excitation light, and it can be applied for sensitive and selective detection of DNA, thrombin, adenosine, potassium ions (K(+)) and endonuclease even in human serum.