• Journal of Platform Technology
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• v.9 no.4
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• pp.10-31
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• 2021

The digital tax, recently referred to as the Google tax was finally agreed at the 31st General Assembly of the OECD (October 8, 2021) with full support by 136 countries and will take effect from 2023. The purpose of this study is to analyze the digital tax prepared by the OECD for global MNEs, and to suggest the impacts on the Korean industry and to present the Korean governmental countermeasures. As the first study, we analyzed the international agreement on digital tax. In results, we found that even if global MNEs do not set up a business operation in overseas countries, if sales and profits are generated, 25% of the excess profit is borne as tax (pillar 1), and when MNEs do business in all the countries, they are liable to at least a 15% tax (pillar 2). We think that countries around the world have prepared a minimum countermeasure to protect their companies in anticipation that global MNEs will easily encroach on their markets in the future. As the second study, in order to discover the reason why the MNEs are so strong, we investigated the trends of Google and B2B SaaS companies in details. In results, we discovered that the global MNEs establishes a digital platform partnership ecosystem that enables them to enter foreign markets easily and expand rapidly. In conclusion, as a countermeasure for the Republic of Korea, governmental policies were proposed at the corporate (startup nurturing), industry, and national level respectively.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.789-795
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• 2023

Digital-Twin are recognized as an important core technology for the realization of Smart Factories by simulating and optimizing the monitoring and predictive maintenance of manufacturing equipment and the operation of production lines in a digital space. To implement this system, we adopt the IEC62541-based OPC-UA (Open Platform Communications Unified-Architecture) Protocol, which has strengths in interoperability and connectivity between heterogeneous platforms. Therefore, In this paper, We designed and implemented an IIoT(Industry Internet of Things) system that connects heterogeneous platforms, and developed an OPC-UA simulator based on IEC 62541. We will present whether the data will be applied to the Digital-Twin Platform and whether it will work, and proceed with performance tests and evaluations. We evaluate the operation performance and OPC-UA performance of the Digital-Twin platform lightened by the proposed device, and present the optimal IEC62514-based simulator system. We proceeded with the performance evaluation of sending and receiving data with OPC-UA wrapping with the proposed simulator, and found that a lightweight Digital-Twin platform can be operated. This research can apply the OPC-UA protocol for implementing smart factory and meta-factory in the manufacturing shop floor with limited resources, avoiding the waste of time and space on the shop floor through the OPC-UA simulator. We expect that this will contribute to a significant improvement in efficiency by minimizing.

• Archives of design research
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• v.15 no.2
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• pp.233-242
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• 2002

Mass customization is a paradoxical word which has some difficulties in introducing to consumer electronic industry due to its mass production system for economy of scale. On the basis of literature review and case studies, this study suggests the mass customization model and design strategy suitable for consumer electronic industry in the aspect of product design. Mass customization models are divided into manufacturer side customization, deliverer side customization, and customer side customization. And the fast is considered as appropriative to consumer electronic industry. Collecting customer 's needs, modular product design, and adopting basic product platform for derivation by 3rd party manufacturer can be used as design strategy for this model. For realization of the mass customization, further research in the area of the participative design for collecting practical design needs of customer wh o are inexpert to product design is needed.

• Food Engineering Progress
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• v.21 no.1
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• pp.12-21
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• 2017

Foods are becoming more customized and consumers demand food that provides great taste and appearance and that improves health. Food three-dimensional (3D)-printing technology has a great potential to manufacture food products with customized shape, texture, color, flavor, and even nutrition. Food materials for 3D-printing do not rely on the concentration of the manufacturing processes of a product in a single step, but it is associated with the design of food with textures and potentially enhanced nutritional value. The potential uses of food 3D-printing can be forecasted through the three following levels of industry: consumer-produced foods, small-scale food production, and industrial scale food production. Consumer-produced foods would be made in the kitchen, a traditional setting using a nontraditional tool. Small-scale food production would include shops, restaurants, bakeries, and other institutions which produce food for tens to thousands of individuals. Industrial scale production would be for the mass consumer market of hundreds of thousands of consumers. For this reason, food 3D-printing could make an impact on food for personalized nutrition, on-demand food fabrication, food processing technologies, and process design in food industry in the future. This article review on food materials for 3D-printing, rheology control of food, 3D-printing system for food fabrication, 3D-printing based on molecular cuisine, 3D-printing mobile platform for customized food, and future trends in the food market.

• Knowledge Management Research
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• v.22 no.2
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• pp.55-76
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• 2021

The real estate market is a representative imperfectly competitive market. Real estate information is characterized by being collected and utilized in a closed environment, and market participants have to pay a lot of time, effort, and costs to acquire such information. Korea's real estate public data is increasing year by year, but it is scattered by relevant ministries. So it is difficult to search and analyze, and the level of development of the industry using it is low. In the recent 4th industrial revolution, the proptech industry has developed as an industry to efficiently provide necessary information to the real estate market. In this study, based on the case of major companies in the real estate platform field among proptech companies, we looked at the types of information provided to users, and on the contrary, explored ways to utilize the data collected from users. The results of this study are expected to provide theoretical and practical implications for ways to reduce information asymmetry in the real estate market and contribute to the development of the real estate industry.

• Journal of Platform Technology
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• v.11 no.3
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• pp.45-55
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• 2023

This paper presents a model that supports decision-makers in the Korean film industry to maximize the success of online movies. To achieve this, we collected historical box office movies and clustered them into types to propose a model predicting each type's online box office performance. We considered various features to identify factors contributing to movie success and reduced feature dimensionality for computational efficiency. We systematically classified the movies into types and predicted each type's online box office performance while analyzing the contributing factors. We used automated machine learning (AutoML) techniques to automatically propose and select machine learning algorithms optimized for the problem, allowing for easy experimentation and selection of multiple algorithms. This approach is expected to provide a foundation for informed decision-making and contribute to better performance in the film industry.

• Journal of Korea Society of Digital Industry and Information Management
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• v.11 no.3
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• pp.21-29
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• 2015

The Internet of Things (IoT) is an Infrastructure which allows to connect with each device in physical world through the Internet. Thus IoT enables to provide meahup services or intelligent services to human user using collected data from those devices. Due to these advantages, IoT is used in divers service domains such as traffic, distribution, healthcare, and smart city. However, current IoT provides restricted services because it only supports monitor and control devices according to collected data from the devices. To resolve this problem, we propose a design and implementation of personalized IoT service base on service orchestration. The proposed service allows to discover specific services and then to combine the services according to a user location. To this end, we develop a service ontology to interpret user information according to meanings and smartphone web app to use the IoT service by human user. We also develop a service platform to work with external IoT platform. Finally, to show feasibility, we evaluate the proposed system via study.

• Journal of Korea Society of Digital Industry and Information Management
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• v.9 no.2
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• pp.81-87
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• 2013

In this paper, we present an implementation of Long Term Evolution (LTE) Uplink (UL) system on a Software Defined Radio (SDR) platform using a conventional Personal Computer (PC), which adopts Graphic Processing Units (GPU) and Universal Software Radio Peripheral2 (USRP2) with URSP Hardware Driver (UHD) for SDR software modem and Radio Frequency (RF) transceiver, respectively. We have adopted UHD because UHD provides flexibility in the design of transceiver chain. Also, Cognitive Radio (CR) engine have been implemented by using libraries from UHD. Meanwhile, we have implemented the software modem in our system on GPU which is suitable for parallel computing due to its powerful Arithmetic and Logic Units (ALUs). From our experiment tests, we have measured the total processing time for a single frame of both transmit and receive LTE UL data to find that it takes about 5.00ms and 6.78ms for transmit and receive, respectively. It particularly means that the implemented system is capable of real-time processing of all the baseband signal processing algorithms required for LTE UL system.

• Journal of Korea Society of Digital Industry and Information Management
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• v.14 no.3
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• pp.145-153
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• 2018

The purpose of this study is to seek ways how you can apply social responsibility requirements in accordance with the organizational characteristics of 'Dong' community service centers which are administrative service platform organizations, by applying the ISO 26000 to these centers. The ISO 26000, which is an international standard for social responsibility, defines the requirements for social responsibility which all organizations, regardless of their sizes or characteristics, can apply. This does not mean that all organizations must apply all the requirements regardless of their sizes or characteristics, but means that each organization can redefine the requirements applicable to its size and characteristics and apply them. Hence, this study defined 'Dong' community service centers' organizational characteristics and stakeholders and assessed the suitability of 251 categories in the ISO 26000 requirements by using the Delphi technique. Through this assessment process, 135 categories were selected. Then, after conducting an importance test by experts, 83 social responsibility assessment indicators applicable to 'Dong' community service centers were developed.

• Journal of Korea Society of Digital Industry and Information Management
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• v.14 no.3
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• pp.29-38
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• 2018

It is the approach of embedded system design that analyzes COS(Cut Out Switch) failure in the power distribution and an instantaneous breakdown of power distribution supply could cause the weakness of industrial competence and therefore we need to feed the stable power distribution with developing the technology of open-source embedded system. In this paper, we apply the LoRa technology which is the Internet of Things(IoT) protocol for low data rate, low power, low cost and long range sensor applications. We designed the hardware and software architecture setup and experimented the embedded system with network architecture and COS monitoring system including accelerometer for detecting the failure of distribution line and sensing the failure of its fuse holder by recognizing the variation and collision and afterwards sending the information to a gateway. With experimenting we designed the embedded platform for sensing the variation and collision according to the COS failure, monitoring its fuse holder status and transferring the information of states with LoRa technology.