• Journal of Platform Technology
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• v.10 no.3
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• pp.69-78
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• 2022

Job offer and job search data related to employment are in the form of highly-unstructured texts that occur in real-time, NCS duty, learning modules, and job dictionaries. Job announcements and training information have a high data value amid changes in industrial technology, such as the Fourth Industrial Evolution. This study developed a job data dictionary by defining relevant data to intuitively understand and harness information on job offers and job searches. This study also designed, constructed, and evaluated a data map based on ontology to enable linking and inferring data about public announcement-job-training. Through this, it was found that the inference function centered on work ability enables QoS support that can satisfy users by minimizing mismatch between consumers and optimizing the data dictionary.

• The Journal of the Korea institute of electronic communication sciences
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• v.17 no.6
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• pp.1187-1192
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• 2022

Gangwon-do is a representative leisure resort. However, the provision of tourism information has not escaped the existing image- and text-oriented simplicity. Therefore, a linkage strategy for the content business is needed to revitalize tourist attractions. In this paper, first, we provide a 360-degree rotating VR content authoring function. Second, we propose a dynamic platform including a function that allows users to easily author tour scheduling after registering VR content on a map. Finally, the proposal system provides pre-tourism customers with an opportunity to increase satisfaction by providing online pre-experience.

• KIISE Transactions on Computing Practices
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• v.22 no.1
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• pp.20-25
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• 2016

With the advent of the era of digital big data, the Hadoop platform has become widely used in various fields. However, the Hadoop MapReduce framework suffers from problems related to the increase of the name node's main memory and map tasks for the processing of large number of small files. In addition, a method for running C++-based tasks in the MapReduce framework is required in order to conjugate GPUs supporting hardware-based data parallelism in the MapReduce framework. Therefore, in this paper, we present a face detection system that generates a sequence file for images to process big data for images in the Hadoop platform. The system also deals with tasks for GPU-based face detection in the MapReduce framework using Hadoop Pipes. We demonstrate a performance increase of around 6.8-fold as compared to a single CPU process.

• Journal of the Korea Society of Computer and Information
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• v.26 no.9
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• pp.73-79
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• 2021

As the importance of online virtual space grows due to Corona Pandemic, interest in virtual space utilization technology is increasing, causing a boom in the growth of the untact technology and related content industry, and accelerating the transition to Metaverse era, a new virtual convergence platform based on virtual and reality. This study analyzed ZEPETO, a Metaverse platform and found that it provides a creative space through Built-it and ZEPETO Studio, and offers items and contents with active economic activity. This is the result of an analysis centered on ZEPETO, so it varies depending on the Metaverse platform. We look to find key items to activate a Metaverse platform and how to make best use of virtual assets crated in Metaverse in reality through Metaverse related technologies.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.1
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• pp.415-423
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• 2021

Citizen participation and Living Lab are attracting interest as one of the major strategies for the success of smart cities. In a Living Lab, citizens, who are the end-users of technology, participate in the search for alternatives to define and solve problems and repeat experiments to verify alternatives in a circular process. The purpose of this research was to present an operating model of a citizen-participating online community platform to improve urban problems, implement and test it, and show its applicability. To this end, an operation model of a citizen-participating online community platform was proposed to improve urban problems. An online platform was designed and implemented to reflect the functions pursued by the operation model. Finally, a pilot test for the function was performed using the Oma Elementary School case located in Ilsan, Goyang-si, Gyeonggi-do. The operating model was designed with the city's pedestrian environment and children. As a result, the sharing and communicating process of urban issues among community members worked appropriately according to the designed intention. The Living Lab coordinator could visualize and view urban issues posted by users on a map based on location information. Visualizing the urban problem as a heat map confirmed that urban problems were concentrated in a specific area.

• Journal of the Korean Regional Science Association
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• v.38 no.1
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• pp.21-32
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• 2022

The purpose of this study is two things. First, it is to develop and demonstrate a sharong taxi platform. To this end, the implications for platform development were derived by analyzing consumers' perceptions of existing taxi services using IPA. As a result, abnormal business activities and safe services in the maintenance area were found to be safe rides and easy rides in the key improvement area. Safety such as usage fee level and driver information provision were derived in the areas subject to improvement, and friendly response and internal and external cleanliness were derived in the areas of excessive investment. The second purpose of this study is to estimate the value given to users for sharing taxi service platforms using the CVM. As a result of estimating the value of the demonstration service of the shared taxi platform developed through this study, the WTP was 3,621 won/per household/per year when expanding throughout Gimhae-si, and 2,515 won/per household/per year. Compared to the willingness to pay for empirical services, only 69.5% of the willingness to pay for the spread project in Gimhae-si. This is the result of a combination of service spread to an unspecified number of people and concerns about service quality due to spatial expansion. This suggests that it is necessary to build data through continuous demonstration and to carefully build a roadmap for spread by upgrading services based on this.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.35 no.2
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• pp.5-23
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• 2024

The seventh year of implementing online material deposit demands a systematic collection, legal and regulatory improvements, and the establishment of a long-term strategic plan for online material collection. In this study, we aimed to propose an online material collection strategy and a long-term roadmap for preserving online resources as national intellectual and cultural heritage for future generations. To achieve this, we analyzed the status of domestic and foreign libraries, related laws and regulations, and the types and collection status of online materials. Based on this analysis, we proposed practical collection standards and methods. Ultimately, a long-term roadmap and implementation plan were suggested. The long-term development plan for online material collection established a phased, concrete implementation strategy. This includes the foundation-building phase of online material collection, followed by the expansion phase, and finally reaching the maturity phase.

• Proceedings of the KIEE Conference
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• 2008.10b
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• pp.351-352
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• 2008

네트워크 기반의 씬 클라이언트 로봇은 내장된 리소스가 부족하지만 네트워크를 통해 이를 극복하려는 로봇이다. 씬 클라이언트 로봇에는 부족한 내장 리소스를 네트워크를 통해 효과적으로 운영하기 위한 디바이스 맵 프로토콜과 로봇 제어 및 개발 플랫폼으로써 로보이드 스튜디오가 제안되어 있다. 현재 로보이드 스튜디오는 공개 소프트웨어 방식으로 다양한 로봇을 지원하지만, 아직은 실제 지원되는 로봇의 종류가 부족하다. 따라서 새로운 로봇에 대한 이식 지원 방법과 다양한 이식 환경 속에서 문제점을 찾아 해결해야 한다. 우리는 첫 번째로 씬 클라이언트 로봇보다는 내장 리소스가 풍부하며, 광범위한 사용자층을 갖고 있는 LEGO NXT를 선택하여 로보이드 스튜디오 운영 및 개발 환경의 이식 절차를 제안하고, 로보이드 스튜디오 프레임워크가 제공하는 네트워크 기반 로봇 제어 기술의 성능을 검증한다.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.46 no.2
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• pp.58-64
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• 2009

The existing note on mobile can store only text data and cannot share the data, which means that the notes stored on mobile are just seasonal or temporary memo. Therefore, this research designs an improved note on mobile and gives a chance for sharing by importing a concept of Mindmap and backup server through the internet. The mobile application is developed based on Android Platform and the server applications are developed based on Linux. These can communicate each other throughout the internet to upload and download some mindmap data.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.463-464
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• 2023

본 논문에서는 플루터와 파이어베이스를 기반으로 구글 맵에서 위치 정보를 받아 높은 정확도와 빠른 위치 정보 업데이트가 가능한 버스 등하교 시스템을 개발하고 위치 정보가 제대로 업데이트되는지 확인하기 위해 대중교통을 타고 직접 실험하였다. 최근 어린 자녀에 대한 학부모의 걱정이 커지고 있으며 부모와 교사 간의 갈등도 빈번하게 발생한다. 가장 대표적인 원인으로 학부모와 교사 간의 불필요한 연락 그리고 아이들의 안전을 꼽을 수 있다. 하지만 위 플랫폼을 통하면 학부모와 교사 간의 연락을 최소화하고 자녀들의 안전을 지키고 혹시 모를 돌발 상황이 생겼을 때 빠른 해결이 가능하다.