• Journal of Korean Society of Archives and Records Management
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• v.13 no.1
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• pp.135-158
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• 2013

While academic discussions and methodological researches on oral history are being progressed in Korea, its exploitation has already begun to increase with a variety of methods and approaches in the private sector. Oral history is a new method of research, as well as another process of production of archives. In order to make valuable and highly qualified archives of oral history with the application of the aforementioned conditions and characteristics, its recognition, environment, process, and method should be improved and developed. From this point of view, it is regarded as reasonable that oral history is recognized as a part of the strategy for documentation. Oral history should be produced based on common sense and reasonable judgment, applying empirical know-how rather than logic or principles because it holds a great number of characteristics, which include variable elements in the field of oral history. In addition, its process or documentation methods should be improved and developed, giving consideration to thorough exploitation. The promotion or revitalization of oral history is a signal that announces the advent of new archives and the new subjects of history at the same time. Endeavors to produce highly efficient archives of oral history are expected to be continued with the complex accumulation of empirical assets achieved at academic discussions and its fields.

• Journal of Korea Port Economic Association
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• v.28 no.1
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• pp.123-142
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• 2012

The purpose of this paper is to suggest a plan on succeeding together-Busan New Port & BJFEZ(that is, port hinterland development). This study deals with the terms of three connection growth factors which are a firm's subjective factors, a industrial environment factors, and a governmental policy factors. According to analysis results of the factors, a firm's subjective factors(4.11 score) are scored the most ones of connection growth factors of Busan New Port & BJFEZ, to be compared with a governmental policy factors(4.01 score). with a industrial environment factors(3.92 score). Therefore, first of all, Busan New Port & BJFEZ have to promote connection growth through as follows, a firm's subjective factors : (1) to procure competitiveness through establishment of connection growth model, (2) to promote concentrated marketing strategy & market response ability, (3) speedy meeting to customer's needs, (4) to procure reliability of Busan New Port & BJFEZ. And, the next, Busan New Port & BJFEZ have to promote connection growth through considering a governmental policy factors, a industrial environment factors.

• Journal of Service Research and Studies
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• v.13 no.1
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• pp.159-175
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• 2023

Mass production has long been the most important production paradigm in establishing a company's strategy as a method of producing various products. However, mass production cannot now be the most important paradigm as companies' competitive environment and consumer needs diversify. In particular, consumers' needs are becoming more diverse and rapidly changing, making it difficult for companies to respond to consumers' needs. Mass customization is the most notable paradigm reflecting this trend, and mass customization aims to produce a variety of products tailored to the needs of customers at a low cost. In this study, the theory and concept of a product architecture system were used to specify a method of realizing mass-customized services, and a case study was conducted focusing on the internal furniture model of a camping car. In particular, unlike previously when companies developed product platforms and modules focusing on productivity, a method of developing and configuring product platforms and modules was suggested by reflecting consumer requirements first, and its effectiveness was considered. As a result of the study, it was confirmed that it was effective in replacement, recyclability, line-up, and chargeability by designing through internal factors of the product architecture system and verifying the effectiveness of the results with external factors. It is expected that further empirical research will be led through a design process using a product architecture system in the future.

• Journal of Internet Computing and Services
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• v.21 no.6
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• pp.95-104
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• 2020

In this paper, we propose the real time indoor air quality monitoring and controlling platform on cloud using IoT sensor data such as PM10, PM2.5, CO2, VOCs, temperature, and humidity which has direct or indirect impact to indoor air quality. The system is connected to air ventilator to manage and optimize the indoor air quality. The proposed system has three main parts; First, IoT data collection service to measure, and collect indoor air quality in real time from IoT sensor network, Second, Big data processing pipeline to process and store the collected data on cloud platform and Finally, Big data analysis and visualization service to give real time insight of indoor air quality on mobile and web application. For the implication of the proposed system, IoT sensor kits are installed on three different public day care center where the indoor pollution can cause serious impact to the health and education of growing kids. Analyzed results are visualized on mobile and web application. The impact of ventilation system to indoor air quality is tested statistically and the result shows the proper optimization of indoor air quality.

• Journal of Korean Society of Forest Science
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• v.87 no.2
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• pp.211-219
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• 1998

The major purpose of this study was to analyze the observance of attributes influencing on park visitors' experiences. The Importance-Performance technique has been commonly used to evaluate the importance of various recreation programs and management. In this study, the Importance-Performance technique was adopted to present a new approach called Observance-Influence Analysis. During the summer of 1996, 550 Worak-san National Park visitors were surveyed. The results of this study indicated that physical and biological attributes such as clear water, clean air, and beautiful valley, etc. were highly observed by visitors and those also highly influenced on visitors' experiences. Based on the respondents' rating to the attributes, action grid was formulated to suggest management actions. As mentioned before, attributes such as clear water, clean air, and beautiful valley were recognized as attributes needed concentrate efforts. Attributes related to forests such as diverse plants and trees, well maintained forests, etc. were also suggested as potential concerned attributes. However attributes related to services did not influenced highly on the visitors' experiences.

• Journal of the Korean Society for information Management
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• v.39 no.3
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• pp.165-193
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• 2022

It can be said that digital technology is at the center of the change in the modern work environment. In particular, in general public institutions that prove their work with records produced by business management systems and document production systems, the record management system is also the work environment itself. Gimpo City applied for the 2021 public cloud leading project of the National Information Society Agency (NIA) to proactively respond to the 4th industrial revolution technology era and implemented a public cloud-based AI-OCR technology enhancement project with 330 million won in support of 330 million won. Through this, it was converted into data beyond the limitations of non-electronic records limited to search and image viewing that depend on standardized index values. In addition, a 98% recognition rate was realized by applying a new technology called AI-OCR. Since digital technology has been used to improve work efficiency, productivity, development cost, and record management service levels of internal and external users, we would like to share the direction of enhancing expertise in the record management and implementation of work environment innovation.

• Journal of the Korean Society for Marine Environment & Energy
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• v.20 no.1
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• pp.12-17
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• 2017

This study established ecological goals and success criteria by using results of the coastal ecosystem restoration demand survey. The ecological goals are set for species diversity, regulation of seawater flow, improvement of purification, erosion prevention and habitat provision by ecosystem types. The indicators of success criteria are chosen the number of emergence species and community characteristics of target organism and pertinent items of hydrologic, water quality and sediment environment by ecological goals among the investigation items of tidal flat investigation guideline.

• The Journal of Korean Association of Computer Education
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• v.17 no.3
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• pp.101-112
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• 2014

With the development of information and communications technologies, there have been increasing cases of services and use free educational materials in educational field through the Web. However, as most of the materials are provided in a finished form via the Web services, teachers are in a situation where they have difficulty in using the materials through development or revision according to their educational goals. In this background, this study aimed to develop requirements and functions necessary for the educational contents development tools by having teachers as actual users develop contents using existing tools of the educational contents development. As a result, this study developed 10 requirements, including intuitive interface environment, support for various multimedia materials, and diversification of output versions etc. Also, the study suggested 13 functions, including links with external resources, automatic format conversion function, usage and editing of existing documents, writing learner's answers, and hiding function etc.

• Journal of Korean Society for Geospatial Information Science
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• v.17 no.4
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• pp.45-51
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• 2009

Different countries around the world, using their traditional culture as a background, are promoting new changes and reformation in development and publicity method of cultural contents to promote national interests and to increase their competitiveness. Also, as the citizen's standard of living and quality of living goes up, various demands for the enjoyment of traditional culture goes up accordingly as well. As the cultural assets environment become more complicated and diverse, there is a need for systematic management and preservation plan. Keeping these viewpoints in mind, the geo-spatial information provision service using the web provides various forms of services such as satellite imagery, terrain, and 3D viewing, enabling the user to gain concrete spatial information on specific areas. The geo-spatial information using 3D modeling is done only in limited spaces because of construction expenses or difficulties in management and maintenance. In this thesis, I would like to propose Effective method for the GoogleEarth Uploading through simplification of 3D object for the publicity of traditional buildings and Cultural Resources and Tourist Attractions.

• Journal of Internet Computing and Services
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• v.20 no.6
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• pp.73-84
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• 2019

Machine learning as a service, the so-called MLaaS, has recently attracted much attention in almost all industries and research groups. The main reason for this is that you do not need network servers, storage, or even data scientists, except for the data itself, to build a productive service model. However, machine learning is often very difficult for most developers, especially in traditional science due to the lack of well-structured big data for scientific data. For experiment or application researchers, the results of an experiment are rarely shared with other researchers, so creating big data in specific research areas is also a big challenge. In this paper, we introduce the KISTI-ML platform, a community-based rapid AI model development for scientific data. It is a place where machine learning beginners use their own data to automatically generate code by providing a user-friendly online development environment. Users can share datasets and their Jupyter interactive notebooks among authorized community members, including know-how such as data preprocessing to extract features, hidden network design, and other engineering techniques.