About
Intelligent Operations Management Laboratory (MA007) is advised by Prof. Kung-Jeng Wang and our research areas are currently related to Industry 4.0 including Digital Twin, Image recognition, Human Machine Collaboration, Data Analytics, and Qualitative Study. Welcome to explore more and join us if you have the same passion!
source: https://github.com/facebookresearch/detectron2
source: https://www.superannotate.com/blog/image-segmentation-for-machine-learning |
Image SegmentationImage segmentation is a vital computer vision task that expands on the premise of object detection. As the name suggests, image segmentation is essentially segmenting an image into fragments and assigning a label to each of those. This occurs on a pixel level in order to define the precise outline of an object within the frame and its class. Those outlines — otherwise known as the output — are highlighted with either one or more colors, depending on the type of segmentation.
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Digital TwinDigital twin system is basically another non-physical replication of a real object, for example a machine, human or processes. Our research focus on creating an advanced digital twin that will remotely decide an optimized process for its physical twin to follow. It can also show statistics about its twin and can be used for monitoring.
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source: https://smartauto.ctimes.com.tw/DispArt-tw.asp?O=HK1CI841HY6ARASTDJ
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source: https://pjreddie.com/darknet/yolo/
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Image recognitionImage recognition is the process of identifying an object or a feature in an image or video. Based on deep learning method, we can train the computer to learn the rules of some visual tasks. For example, locating the defects on a product in production procedure, identifying the person entering a building in a security system, or recognizing the motion of the operator to prevent causing further product defects or safety issues.
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Human Machine CollaborationHuman machine collaboration is a model in which humans co-work with artificial intelligence (AI) systems and other machines rather than using them as tools. As in most successful collaborations, each brings to the table abilities that the other lacks. The purpose of machine-human partnerships is to use the particular strengths of both types of intelligence, and even physical capabilities, to fill in the other’s weaknesses.
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source:https://link.springer.com/article/10.1007/s00170-020-05363-1
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source: https://atlas-network.com/how-can-big-data-turn-into-improved-freight-rates-and-better-service-levels/
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Data AnalyticsData analysis is a process of inspecting, cleansing, transforming and modeling data with the goal of discovering useful information, informing conclusions and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively. Under Industry 4.0, big data analytics is useful in predictive manufacturing and is a major theme for industrial technology development.
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Qualitative StudyQualitative research is a scientific method of observation to gather non-numerical data. Qualitative research approaches are employed across many academic disciplines, focusing particularly on the human elements of the social and natural sciences; in less academic contexts, areas of application include qualitative market research, business, service demonstrations by non-profits,and journalism. Due to the novelty of industry 4.0 few researches on the practical effects are not yet fully explored in the literature. Business models, a more traditional area of research, has not yet touched upon the effects industry 4.0 has on the business models of company.
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source: https://blog.hubspot.com/service/qualitative-research-methods
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