• International journal of advanced smart convergence
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• v.11 no.1
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• pp.111-116
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• 2022

After COVID-19, the number of people with sleep disorders around the world is increasing. In particular, in the flow of the 4th industrial revolution, the differentiation of types and characteristics of the sleep industry is accelerating. Therefore, in this study, the characteristics of each type of sleep-related industry were reclassified from an industrial point of view, and based on this, an attempt was made to review the classification system that can help companies develop sleep products and improve related national systems. Based on the 10th standard industry classification, we compared input cost, value, and usability and analyzed common characteristics, treatments, and preventive effects based on this. A comprehensive taxonomy using matrix analysis was reviewed. As a result, in terms of cost (A), the most common sleeping products are general mattresses and general bedding. It is an IOT device (auxiliary device), and the value aspect (B, B/D) included sleep cafe, bedding rental and management service, and sleep consulting. In terms of utility (A/B), a total of 6 product groups including sleep aids (health functional foods) belong to this category, and in terms of treatment (A/C), a total of 3 product groups including sleep clinics (medical services) belong to this category. As for the product group (A/D) with both properties, it was found that non-insurance sleep treatment medical devices, sleep-related over-the-counter drugs, and some sleep monitoring applications belong to this category. Ultimately, it was found that the sleep industry classification enables the most active product development and composition according to the relative relationship between cost and utility, and treatment and utility. appeared to be necessary.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2008.11a
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• pp.469-474
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• 2008

In the last decade many advanced home network services have been provided by construction industry, and many researches on the area have been carried out. One of the problems we are confronted with is that we do not have a standard classification scheme for home network services yet. In this paper a more stable classification scheme is suggested after comparative analysis of many different schemes in previous researches. More commonly highly attended service categories in the scheme is selected, and those are examined in terms of how commonly they are supplied by construction industry. In the later part of this paper the current home network building certification code is reviewed if the code complies with the highly attended categories in the classification scheme suggested in this paper. Some ideas to improve the current certification code is suggested by adding or optionally adding the highly attended categories.

• Journal of the Korean Society of Industry Convergence
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• v.27 no.5
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• pp.1061-1068
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• 2024

In this paper, anomaly detection methods for a collaborative robot during the chemical drum assembly process in the semiconductor industry are presented. The manual assembly of chemical drums has been automated using robots to prevent industrial accidents. However, the automation may increase downtime due to anomalies or failures in the robot manipulator tasks. To prevent this issue in advance, the methods to diagnose anomalous behaviors and conditions in the robotic automation workflow and subsequently resume tasks are proposed. To detect and diagnose anomalies in the tasks, the Random Forest classification method was utilized. Using this Random Forest classification, the collaborative robot anomaly detection model achieved an accuracy of 98.91%, successfully detecting all anomalies in the assembly process.

• Korea Trade Review
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• v.44 no.5
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• pp.127-142
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• 2019

As Korea's steel industry exports 38 percent of its total steel production, the future management environment of the steel industry will change depending on the outcome of the FTA negotiations. The overall industrial structure of the domestic steel industry depends on the rules of origin, which are directly linked to the effect of concessionary tariffs. Therefore, negotiations on rules of origin are as important as tariff liberalization for Korea's steel industry. Korea's cold-rolled and plated companies are expected to be negatively affected as the country of origin standards of steel products have not considered the steel production processes in Korea. In future FTA talks, the country of origin rules should be agreed on a change of tariff classification basis. This result would secure a stable export market through increased predictability of steelmakers and reduce the risk of increased costs of oil and intangible products. In addition, the government should consider the structure of domestic supply and demand so that it does not impose constraints on the change of tariff classification. Finally, participants in the negotiations should consider the opinions of the domestic steel industry.

• International Journal of Advanced Culture Technology
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• v.12 no.1
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• pp.134-143
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• 2024

We investigated and analyzed the technological landscape of the global pet food industry, focusing on related industries in Korea and abroad. This industry accounts for the largest share of the rapidly growing global pet market. We aimed to identify and develop technologies that can strengthen Korea's position in this market. Our study employed various quantitative methods, including time series analysis, country and applicant analysis, and International Patent Classification (IPC) technology analysis. These analyses allowed us to objectively assess the current technological status, patent application distribution, and technological trends in the pet food industry. Our findings revealed that the United States currently holds the leading position in terms of patent applications within the pet food industry. This suggests that to establish a differentiated competitive edge in this field, it's crucial to develop technologies with high usability and target specific segments within related industries. Additionally, focusing on interdisciplinary research that combines Korea's existing advanced technologies with other relevant fields is essential.

• Journal of Korea Society of Digital Industry and Information Management
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• v.10 no.2
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• pp.203-211
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• 2014

In recent highly competitive business environment, collaboration has become one of the important business strategies for companies to survive and/or prosper. There are many different types of collaboration strategies, and it is crucial for companies to select the right ones according to the types of collaboration they require. To select the right type of collaboration options for business, in the past research, there have been two important criteria to classify collaboration types, namely governance (who makes key decisions - one kingpin participant or all players?) and membership (can anyone participate, or just select players?). In this research, we add a new classification criterion, recognition of collaboration purpose, which means whether collaborators know or do not know the purpose of collaboration in advance. Recently, we see many cases in which social media data are used in many unknown purposes a priori. In this research, we add such cases to develop new classification model.

• Journal of Korea Society of Digital Industry and Information Management
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• v.20 no.2
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• pp.1-10
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• 2024

For the purpose of predicting credit card customer churn accurately through data analysis, a model can be constructed with various machine learning algorithms, including decision tree. And feature importance has been utilized in selecting better input features that can improve performance of data analysis models for several application areas. In this paper, a method of utilizing feature importance calculated from the MDI method and its effects are investigated in the credit card customer churn prediction problem with classification trees. Compared with several random feature selections from case data, a set of input features selected from higher value of feature importance shows higher predictive power. It can be an efficient method for classifying and choosing input features necessary for improving prediction performance. The method organized in this paper can be an alternative to the selection of input features using feature importance in composing and using classification trees, including credit card customer churn prediction.

• Journal of Digital Convergence
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• v.11 no.4
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• pp.91-99
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• 2013

While there is the active integration of various industries, a convergence of the software and knowledge service industries including software used in finance and counseling products is creating the necessity to include software industry utilization sectors aside from covering only software products and service production activities. Furthermore, to cope with the radical environment changes in the software industry when it comes to categorizing mobile and cloud computing areas into a software and classification system, we are at a point where there is a need to establish a directional nature on what should be included. In order to establish an integrated classification of newly introduced technologies, products and services, this paper aims to discover areas not included in the classification standard because of the ecological characteristics of the software. It also wants to differentiate the classification system and identify its incomplete areas such as the lack of connections within the system to ultimately establish such for newly surfacing software fields.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.333-336
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• 2001

The future industry, intangible assets, like expertise, customer satisfaction, and employee's volition and capability, create more company value than any other components. The company's outcome mostly depends on managing these intangible knowledge assets. Construction industry is trying to adapt knowledge management system to manage their knowledge assets, but Hey do not build up knowledge assets definition and knowledge assets classification as much as other industries do. Most researches related knowledge assets classification are not concentrated on construction industry so it is need to define knowledge assets and establish knowledge assets classification of construction based on construction characteristics and informations. With this research result, construction knowledge assets classification can be the basis of knowledge asscts evaluation and knowledge map for knowledge management system.

• KIEAE Journal
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• v.11 no.2
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• pp.123-130
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• 2011

BIM based design methodology requires more information than traditional design methodology in order to insure efficiency throughout the project. BIM based design not only requires all building data in the form of 3D shapes, but also all other relevant data regarding building components. Information is typically grouped in a standard classification system such as by standardized material names. The development of a domestic BIM based standard classification system is yet to be created and deployed in the industry. Each designer is specifying their own building information classification systems which is causing inconsistency in the industry. Therefore BIM based designs, are causing confusion in the industry as each designer follow no guidelines for material standardization classification. The lack of information regarding this in the BIM template will continue to cause confusion about a projects building information data consistently. This study is that of preliminary research to develop a BIM template. First, overseas BIM templates were analyzed regarding BIM standards and documentation. Examination then followed regarding the element and characteristics needed for the development of a BIM template, a suggested hierarchy of elements required for a BIM template were then made. The result of this research is that it will be used to develop a "BIM template prototype", to support the generation of building information data regarding neighborhood facilities.