• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.935-940
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• 2023

Most text data collected through web scraping for artificial intelligence and big data analysis is generally large and unstructured, so a purification process is required for big data analysis. The process becomes structured data that can be analyzed through a heuristic pre-processing refining step and a post-processing machine refining step. Therefore, in this study, in the post-processing machine refining process, the Korean dictionary and the stopword dictionary are used to extract vocabularies for frequency analysis for word cloud analysis. In this process, "user-defined stopwords" are used to efficiently remove stopwords that were not removed. We propose a methodology for applying the "thesaurus" and examine the pros and cons of the proposed refining method through a case analysis using the "user-defined stop word thesaurus" technique proposed to complement the problems of the existing "stop word dictionary" method with R's word cloud technique. We present comparative verification and suggest the effectiveness of practical application of the proposed methodology.

• Fashion & Textile Research Journal
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• v.24 no.4
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• pp.460-470
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• 2022

Customized cosmetics are emerging as a consumer product that companies should pay attention to in the beauty industry due to the combination of market trends and institutional introduction of customized cosmetics. In this study, six offline service brands and online service brands currently in Korea were selected to understand the current status of domestic customized cosmetics online and offline services and to derive detailed characteristics, and the cases of each brand were analyzed. The results are as follows. First, customized cosmetics services could be classified online and offline. Second, customized cosmetics brands could be divided into general brand types and brand extension types. Third, skin data measurements could be classified into genetic analysis, big data-based surveys, and device measurements. Fourth, customized cosmetics manufacturing could be classified into a device manufacturing system, a consultant manufacturing system, and an individual production process system. Fifth, customized cosmetics distribution and delivery could be classified into same-day sales, general delivery, and regular delivery. The results of this study are meaningful in that they have identified and analyzed the current status of personalized cosmetics on-line and offline systems in recent trends, and it was confirmed that creative attempts in the domestic customized cosmetics market continue to change. It is hoped that this study will provide information and ideas to the beauty industry and related experts in the future and be used as basic data for customized cosmetics marketing

• Information Systems Review
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• v.20 no.1
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• pp.81-98
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• 2018

ERP supports the automation and integration of business processes of enterprises and records voluminous data about the business activities of enterprises. The academe and business enterprises are focusing on process mining, which improves the performance of business processes and strengthens compliance. However, these studies focused on analysis of the business process of large companies, which adopts foreign ERP, such as SAP ERP or Oracle ERP. In comparison with foreign ERP, domestic ERP lags behind in terms of logging and managing of event data. Therefore, the application of process mining to domestic ERP is a challenging task. The present study aims to analyze domestic ERP based on process mining to overcome this challenge. This study discusses the lessons learned from a case study in a Korean cosmetics manufacturing company. Our results are expected to strengthen the competitiveness of Korean small and medium-sized enterprises that adopt domestic ERP and realize the outcomes of the large investment of the Korean government on the ERP implementation of enterprises.

• Journal of the Korean Society of Clothing and Textiles
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• v.35 no.12
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• pp.1454-1465
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• 2011

Menswear body types are often labeled on garments (to indicate how the garments are designed to fit) with indicators of a size category such as regular, portly, and stout, athletic, or big and tall. A drop (relationships between the chest and waist girths) is related to the fit of a tailored suit. However, current standards are not designed for various drops or body types. There is not enough information of categorizing men's body shapes for the apparel sizing systems. In this article, a set of men's data from SizeUSA sizing survey was analyzed to investigate men's body shapes and drops. Factor analysis and a cluster analysis method were used to categorize men's body shapes. In the results, twenty-five variables were selected through the factor analysis and found four factors: girth factor, height factor, torso girth factor, and slope degree factor. According to the factor and cluster analysis, various body shapes were found: Slim Shape (SS - tall ectomorphy), Heavy Shape (HS - athletic, big & tall, endomorphy and mesomorphy), Slant Inverted Triangle Shape (SITS - regular, slight ectomorphy and slight mesomorphy weight range from normal to slightly overweight), Short Round Top Shape (SRTS - portly and stout, endomorphy). Body shapes were related to fitting categories. SS and HS were related to big & tall fitting category. SITS was related to regular. SRTS was related to portly and stout. Shape 1 (31%) and Shape 2 (26%) were related to current big & tall category. Shape 3 (34%) were related to regular. Shape 4 (9%) were in portly and stout category. ASTM D 6240 standard was the only available standard that presented a regular fitting category. Various drops were found within a same chest size group; however, this study revealed great variances of drops by body shape.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.2
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• pp.7-13
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• 2021

Machine vision is a technology that helps the computer as if a person recognizes and determines things. In recent years, as advanced technologies such as optical systems, artificial intelligence and big data advanced in conventional machine vision system became more accurate quality inspection and it increases the manufacturing efficiency. In machine vision systems using deep learning, the image quality of the input image is very important. However, most images obtained in the industrial field for quality inspection typically contain noise. This noise is a major factor in the performance of the machine vision system. Therefore, in order to improve the performance of the machine vision system, it is necessary to eliminate the noise of the image. There are lots of research being done to remove noise from the image. In this paper, we propose an autoencoder based machine vision system to eliminate noise in the image. Through experiment proposed model showed better performance compared to the basic autoencoder model in denoising and image reconstruction capability for MNIST and fashion MNIST data sets.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.596-597
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• 2016

Recently a variety of companies as the growing importance of big data are in the process of research and development for large-scale data collection and management. In addition, a situation that collects all necessary data inside and outside the enterprise to improve the manufacturing environment and the service environment. In this paper, we collect to ingest the mouth-time work for companies within the temple. Also, in conjunction with the NFC tag of the smart phone and employee information stored in the database. Utilizing this determines whether or not the employee attendance and the authority to automatically access to the database or resource within the enterprise. The proposed system is considered to be able to increase the accessibility and efficiency of a database or a resource in the enterprise.

• Journal of the Korean Institute of Electrical and Electronic Material Engineers
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• v.35 no.5
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• pp.509-515
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• 2022

As the 4th industrial revolution based on ICT is progressing in the manufacturing field, interest in building smart factories that can be flexible and customized according to customer demand is increasing. To this end, it is necessary to maximize the efficiency of factory by performing an automated process in real time through a network communication between engineers and equipment to be able to link the established IT system. It is also necessary to collect and store real-time data from heterogeneous facilities and to analyze and visualize a vast amount of data to utilize necessary information. Therefore, in this study, four types of controllers such as PLC, Arduino, Raspberry Pi, and embedded system, which are generally used to build a smart factory that can connect technologies such as artificial intelligence (AI), Internet of Things (IoT), and big data, are configured. This study was conducted for the development of a program that can collect and store data in real time to visualize and manage information. For communication verification by controller, data communication was implemented and verified with the data log in the program, and 3D monitoring was implemented and verified to check the process status such as planned quantity for each controller, actual quantity, production progress, operation rate, and defect rate.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.5
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• pp.237-244
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• 2018

The Smart Factory level of manufacturing factories of SMEs now lacks a system for grasping the accurate inventory amount associated with inventory movements in managing warehouses at the basic level. Also, it is difficult to manage accurate materials for loss of data due to worker manual work and production method due to experience. In order to solve this problem, in this paper, automatic acquisition of inventory to minimize manual work to grasp workers' Inventory and improve automation is done. In the smart warehouse management system using the IoT-based autonomous mobile module, the autonomous mobile module acquires the data of the inventory storage while moving through the line. In order to grasp the material of the Inventory storage, The Camera module recognizes the name of the inventory storage. And Then, If output matches, the data measured by the sensor is transferred to the server. This data can be processed, saved in a database, and real-time inventory quantity and location can be grasped in a web-based monitoring environment for administrators. The Real-time Automatic Inventory (RAIC) systems is reduce manual tasks and expect the effects of automated inventory management systems.

• Journal of the Korea Safety Management & Science
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• v.18 no.1
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• pp.219-226
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• 2016

As the development environment is changing with the development of information communication technology, the systems that were used by each service became used with integration. In the process of integrating from existing legacy systems to new system, it should be smoothly integrated or shared, however, it cannot help holding existing technology or component due to significant cost burden for conversion. In this paper, it was not only classified by types with analyzing the various elements that make up legacy system but an approach and monitoring system were developed to each type. After System application results, data's information generated in each process is provided to other system in real time, so that it has not only secured the work efficiency and reliability but also it is made possible by integrating data in various formats for efficient data management, rapid search and tracking to history. With real-time monitoring system developed in this study, It can be very useful in a variety of industries which require real-time monitoring of distributed legacy system data.

• The Journal of Industrial Distribution & Business
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• v.9 no.4
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• pp.73-82
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• 2018

Purpose - Before the economic reforms, the Chinese communication industry was poorly developed. After China's entering to WTO, the Chinese market were gradually opened, domestic companies will be faced with more and more pressures of competition from the world rival countries. As time goes on, the overseas telecommunications companies will occupy the Chinese market with the opening of China Telecommunications market to outside. So this paper focuses on problems and development methods based on the research about the present situation and development methods of communication industry(communication manufacturing industry and communication manufacturing industry) in China. Research design, data, and methodology - This study analyzed the policies of China's entering to WTO. This paper observed previous researches and made an empirical research on Chinese communication industry based on the governmental policies, strategies, books and previous papers with several kinds of clear data announced formally by China authorities. Results - Most recently, reorganization of the communication industry has brought good opportunities for the development of the communication manufacturing enterprises. This paper analyze policy changes of Chinese communication industry, the status of communication manufacturing industry and communication service industry. Finally, this study for further research analyzes the existing problems and puts forward some practicable measures to solve them. Conclusions - Looking ahead, with China's rapid economic development and steady deepening of reform and opening-up, the Chinese communication industry is faced with an even broader prospect of development. Chinese communication industry will be become the pillar one in national economy after 10 years development. Foreign communication companies accelerated investment and progresses to Chinese information and communication markets. Positive ones are more foreign investment, export increase, domestic innovation, communication industry made steep growth. But negative ones are obstacles of domestic companies' development and jobless rate increase etc. Second communication manufacturing industry made good development, but computer and TV related industry made decline in growth. Third, market sizes of internet and mobile services are growing but the size of wired communication services is downsizing gradually. To overcome them, the studies of components or parts of communication manufacturing industry are needed individually. Second China Unicom, China Telecom, China Mobile etc. are Chinese representatives. The sales volumes are very similar at the beginning, but now they are different and make big differences. So the analysis about, their differences and its impact, are needed.