• Title/Summary/Keyword: Platform characteristics

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Abnormal Behavior Monitoring System with YOLO AI Platform (YOLO 인공지능 플랫폼을 이용한 이상행동 감시 시스템)

  • Lee, Sang-Rak;Son, Byeong-Su;Park, Jun-Ho;Choi, Byeong-Yoon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.05a
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    • pp.431-433
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    • 2021
  • In this paper, abnormal behavior monitoring system using YOLO AI platform was implemented and had superior response characteristics compared to the conventional monitoring system using two-shot detection by using one-shot detection of YOLO system. The YOLO platform was trained using image dataset composed of abnormal behaviors such as assault, theft, and arson. The abnormal behavior monitoring system consists of client and server and can be applicable to smart cities to solve various crime problems if it is commercialized.

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A Study on the Integration Method of Shared Information System Platform (공유정보 시스템 플랫폼의 통합 방안에 관한 연구)

  • Geun-Wan Park;Seung-June Hwang;Eui-Jong Hwang
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.46 no.spc
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    • pp.68-78
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    • 2023
  • Big data technology is being used in various fields followed by the development of information and communication technology. In the corporate and public sectors, diverse system platforms are built and operated due to the needs of users, but efficiency is low because they are built from an individual service perspective rather than an integrated service perspective. In this study, the relationship between presenting the characteristics of the type of shared information platform, the integration plan, and integration performance of the shared information system platform was analyzed. The results of the study will provide guidelines for the integration of shared information system platforms by the government and private companies in the future.

Study on Users' Acceptance of and Preference for Metaverse Education Platforms: Focusing on University Students

  • Seongsu Jang;Junghwan Lee
    • Asia pacific journal of information systems
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    • v.34 no.2
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    • pp.620-634
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    • 2024
  • Recently, active research has been conducted on the metaverse as a new education platform. However, only a few studies analyze the specific characteristics of this platform from potential users' perspectives. Therefore, based on literature reviews and expert surveys on education, this study specifies the attributes and levels to be considered in developing metaverse education platforms. An online survey was conducted among university students in South Korea, and conjoint analysis was performed to propose the conditions for education platforms optimized for university education. The results revealed that 85% of respondents were willing to use metaverse education platforms, and preferred virtual classrooms that enable indirect experience in a web-based personal computer environment. In particular, the respondents showed a high preference for the education platforms that were available at $5 per month and used newly created three-dimensional avatar characters of themselves. This study is significant since its results have strategic implications for expanding the metaverse's use as a new educational space.

Smoke Control Experiment of a Very Deep Underground Station Where Platform Screen Doors are Installed (I) - Analysis on Smoke Control Performance on the Platform (스크린도어가 설치된 대심도 지하역사의 제연 실험 I - 승강장에서의 제연의 효과 분석)

  • Park, Won-Hee;Kim, Chang-Yong;Cho, Youngmin;Kwon, Tae-Soon;Lee, Duck-Hee
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.8 no.7
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    • pp.485-496
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    • 2018
  • In this paper, the smoke behavior in an underground station on operation of the fans in the ventiliation of the station was measured by the experimental method when the fire occurred in the underground station platform where the platfrom screen door was installed. The ventilation characteristics were compared when the ventilation system was operated and when the ventilation system was not operated when a fire occurred at the platform where the clean door was closed. To simulate the fire smoke, the smoke generated from the smoke generator was heated using a hot air fan. The transmittance was measured using a smoke density meter to quantitatively measure fire smoke. If the screen door is closed and the ventilation system of the underground station does not work, it is confirmed that if a fire occurs in the platform, smoke accumulates inside the platform, evacuating passengers is very difficult and can lead to a very dangerous situation. On the other hand, under the condition that the ventilation facility of the subway station is operated, the smoke evacuates to the outside through the ventilation facility of the underground station, and airflow is formed in the direction from the waiting room to the waiting area, so that the passenger located on the platform can safely evacuate toward the concourse. In the following paper, we will discuss the concurrent effect of tunnel ventilation through tunnel vent near the platform.

A quantitative analysis of synthetic aperture sonar image distortion according to sonar platform motion parameters (소나 플랫폼의 운동 파라미터에 따른 합성개구소나 영상 왜곡의 정량적 분석)

  • Kim, Sea-Moon;Byun, Sung-Hoon
    • The Journal of the Acoustical Society of Korea
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    • v.40 no.4
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    • pp.382-390
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    • 2021
  • Synthetic aperture sonars as well as side scan sonars or multibeam echo sounders have been commercialized and are widely used for seafloor imaging. In Korea related research such as the development of a towed synthetic aperture sonar system is underway. In order to obtain high-resolution synthetic aperture sonar images, it is necessary to accurately estimate the platform motion on which it is installed, and a precise underwater navigation system is required. In this paper we are going to provide reference data for determining the required navigation accuracy and precision of navigation sensors by quantitatively analyzing how much distortion of the sonar images occurs according to motion characteristics of the platform equipped with the synthetic aperture sonar. Five types of motions are considered and normalized root mean square error is defined for quantitative analysis. Simulation for error analysis with parameter variation of motion characteristics results in that yaw and sway motion causes the largest image distortion whereas the effect of pitch and heave motion is not significant.

The Effect of Mobile Foodservice Platform Service Characteristics on Ease of Use, Usefulness and Reuse Intention (모바일 외식 플랫폼서비스특성이 사용용이성과 유용성 및 재사용의도에 미치는 영향)

  • Jeon, Jang Chul
    • The Journal of the Convergence on Culture Technology
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    • v.5 no.2
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    • pp.31-37
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    • 2019
  • This study examined the sub - dimensions of mobile food platform service characteristics and verified how they affect the usability, usability and re - use intention. The data collection is from February 11, 2019 to February 28, 2019. The researcher visited the food service company and presented the questionnaire by direct interview. The results of the analysis are summarized as follows. First, the ubiquitous connectivity and interactivity of the mobile eater platform service have a significant effect on ease of use, but the situational awareness has no significant effect. Second, ubiquitous connectivity, situational awareness, and interactivity have a significant effect on usability, and ease of use has a significant effect on usability. Third, ubiquitous connectivity has a significant effect on re - use intention, and situational awareness and interactivity have a significant effect on re - use intention. Fourth, ease of use has no significant effect on re-use intention, but usefulness has a significant effect on re-use intention.

A Study on the Effect of Characteristics of Shopping Mall on Revisit -Focusing on the difference in online platform form- (온라인 쇼핑몰의 특성이 소비자 재방문 의도에 미치는 영향 -온라인 플랫폼 형태 차이를 중심으로-)

  • Shin, Jong-Kuk;Kim, Jea-Hun;Rhee, Sung-Hyun
    • Journal of Digital Convergence
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    • v.19 no.4
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    • pp.73-88
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    • 2021
  • The development of modern industry is changing the consumption pattern of consumers. With the advent of COVID-19, consumers' consumption using online e-commerce has begun to become more active. Online shopping malls where e-commerce takes place have four types of platforms: stand-alone, rental, open market and store farm. Among them, by comparing the stand-alone and store farm types, this study was conducted how the platform type affects consumers' purpose of using the online shopping mall and their intention to revisit the online shopping mall. This study analyzed 202 surveys within the last six months. According to the results of the study, reliability and information had a significant impact on psychological benefits. In addition, promotion and convenience have had a significant impact on economic benefits. The psychological and economic benefits, have been found to have a significant impact on the intention of revisit. However, there is no difference depending on the platform type.

A Study on Consumer Behavior on Online Luxury Platforms using the Unified Theory of Acceptance and Use of Technology - Focusing on the Extended UTAUT(2) Theory - (통합기술수용이론을 활용한 온라인 명품 플랫폼 소비자 행동 연구 - 확장된 UTAUT(2) 이론을 중심으로 -)

  • Jeong, Dayun
    • Fashion & Textile Research Journal
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    • v.24 no.4
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    • pp.386-398
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    • 2022
  • This study was conducted to corroborate the factors that influence consumer characteristics and technology acceptance on online luxury platforms, which are rapidly emerging as distribution channels for luxury brands. To this end, the relationship between the degree of technology acceptance and behavioral intention of fashion consumers on online luxury platforms and the effect on specific factors such as age and gender was investigated to see if there was a difference in behavior and use behavior. A survey was conducted on Korean consumers between the age of 20 and 40 who have used online luxury platforms and then, a statistical analysis was conducted. As a result of the study, performance expectancy and facilitating conditions, hedonic motivation, price value, and habit were found to have a significant effect on platform behavioral intention, but effort expectancy and social influence did not have a significant effect. Additionally, both facilitating conditions and habit were found to have a directly significant effect on the platform use behavior, and it was confirmed that the platform behavior intention also had a significant effect on the use behavior. As a result of confirming the moderating effect of gender and age, there was no difference based on gender, but only the relationship between price value and behavioral intention was found to have a moderating effect. It is hoped that domestic online luxury platforms will grow into channels with distinct characteristics and continue to develop in the luxury market by utilizing specific affect factors of this study.

Comparison and Evaluation of Data Collection System Database for Edge-Based Lightweight Platform (엣지 기반 경량화 플랫폼을 위한 데이터 수집 시스템의 데이터베이스 비교 및 평가)

  • Woojin Cho;Chae-young Lim;Jae-hoi Gu
    • Journal of Platform Technology
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    • v.11 no.5
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    • pp.49-58
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    • 2023
  • Factory energy management system is rapidly growing and evolving due to factors such as the 3rd Basic Energy Plan and global energy cost increases, as well as environmental issues. However, implementing an essential data collection system for energy management in factory settings, which have limited space and unique characteristics, presents spatial, environmental, and energy-related challenges. This paper endeavors to mitigate these challenges by devising a data collection system implemented through an edge-based lightweight platform. A comparison and evaluation of database operation on edge devices are conducted. To conduct the evaluation, a benchmarking tool called CDI Benchmark is developed, utilizing the characteristics of existing factories involved in practical applications. The evaluation results revealed that RDBMS systems like MySQL encountered errors in the database due to high data insertion loads, making them inoperable. On the other hand, InfluxDB, thanks to its highly efficient compression algorithm, demonstrated compression rates about 6 times higher than MyRocks according to the evaluation. However, it was observed that MyRocks outperformed InfluxDB by a significant margin, recording a maximum processing time approximately 80 times faster compared to InfluxDB.

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Research Trend and Futuristic Guideline of Platform-Based Business in Korea (플랫폼 기반 비즈니스에 대한 국내 연구동향 및 미래를 위한 가이드라인)

  • Namn, Su Hyeon
    • Management & Information Systems Review
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    • v.39 no.1
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    • pp.93-114
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    • 2020
  • Platform is considered as an alternative strategy to the traditional linear pipeline based business. Moreover, in the 4th industrial revolution period, efficiency driven pipeline business model needs to be changed to platform business. We have such success stories about platform as Apple, Google, Amazon, Uber, and so on. However, for those smaller corporations, it is not easy to find out the transformation strategy. The essence of platform business is to leverage network effect in management. Thus platform based management can be rephrased as network management across the business functions. Research on platform business is popular and related to diverse facets. But few scholars cover what the research trend of the domain is. The main purpose of this paper is to identify the research trend on platform business in Korea. To do that we first propose the analytical model for platform architecture whose components are consumers, suppliers, artifacts, and IT platform system. We conjecture that mapping of the research work on platform to the components of the model will make us understand the hidden domain of platform research. We propose three hypotheses regarding the characteristics of research and one proposition for the transitional path from pipeline to platform business model. The mapping is based on the research articles filtered from the Korea Citation Index, using keyword search. Research papers are searched through the keywords provided by authors using the word of "platform". The filtered articles are summarized in terms of the attributes such as major component of platform considered, platform type, main purpose of the research, and research method. Using the filtered data, we test the hypotheses in exploratory ways. The contribution of our research is as follows: First, based on the findings, scholars can find the areas of research on the domain: areas where research has been matured and territory where future research is actively sought. Second, the proposition provided can give business practitioners the guideline for changing their strategy from pipeline to platform oriented. This research needs to be considered as exploratory not inferential since subjective judgments are involved in data collection, classification, and interpretation of research articles.