• Title/Summary/Keyword: 상황인식 시스템

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The Adequacy Analysis of Korean MVNO Policy (MVNO 정책의 타당성 분석)

  • Shin, Jin;Park, Dea-Woo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2014.10a
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    • pp.926-929
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    • 2014
  • In Korea MVNO was introduced in 2011 when twenty seven years had passed since Korea Mobile Telecom started mobile phone service in 1984. Whithout having its frequency bands and network facilities MVNO can resell the mobile telecom services to the consumers by purchasing MNO's service. That can bring competition more efffective that can lower communication costs through the alternatives. In the early 2000s, the need for the introduction of the MVNO has been raised already by scholars in Korea. But it wasn't until the late 2000s, rate cuts appeared to be a major policy issue, and in 2011 Korean government begin to try to introduce its own MVNO's. In may 2014, MVNO's mobile communication market share reached 6%, but Korea dose not have a firm system yet. However, if government authorities did not insist 3 mobile telecom companies system and recognize global MVNO flow quickly the national cost would be significantly reduced. In the mean time mobile telecom companies have maintained similar billing system and level of service but competed to attract consumers only. It looks like some level of mutual collision and the government cannot help recognizing the situation but it did not do any effective policy improvement effort and government only levied penalties.

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A Study on Similar Trademark Search Model Using Convolutional Neural Networks (합성곱 신경망(Convolutional Neural Network)을 활용한 지능형 유사상표 검색 모형 개발)

  • Yoon, Jae-Woong;Lee, Suk-Jun;Song, Chil-Yong;Kim, Yeon-Sik;Jung, Mi-Young;Jeong, Sang-Il
    • Management & Information Systems Review
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    • v.38 no.3
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    • pp.55-80
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    • 2019
  • Recently, many companies improving their management performance by building a powerful brand value which is recognized for trademark rights. However, as growing up the size of online commerce market, the infringement of trademark rights is increasing. According to various studies and reports, cases of foreign and domestic companies infringing on their trademark rights are increased. As the manpower and the cost required for the protection of trademark are enormous, small and medium enterprises(SMEs) could not conduct preliminary investigations to protect their trademark rights. Besides, due to the trademark image search service does not exist, many domestic companies have a problem that investigating huge amounts of trademarks manually when conducting preliminary investigations to protect their rights of trademark. Therefore, we develop an intelligent similar trademark search model to reduce the manpower and cost for preliminary investigation. To measure the performance of the model which is developed in this study, test data selected by intellectual property experts was used, and the performance of ResNet V1 101 was the highest. The significance of this study is as follows. The experimental results empirically demonstrate that the image classification algorithm shows high performance not only object recognition but also image retrieval. Since the model that developed in this study was learned through actual trademark image data, it is expected that it can be applied in the real industrial environment.

The Effect of Changes in Airbnb Host's Marketing Strategy on Listing Performance in the COVID-19 Pandemic (COVID-19 팬데믹에서 Airbnb 호스트의 마케팅 전략의 변화가 공유성과에 미치는 영향)

  • Kim, So Yeong;Sim, Ji Hwan;Chung, Yeo Jin
    • Journal of Intelligence and Information Systems
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    • v.27 no.3
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    • pp.1-27
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    • 2021
  • The entire tourism industry is being hit hard by the COVID-19 as a global pandemic. Accommodation sharing services such as Airbnb, which have recently expanded due to the spread of the sharing economy, are particularly affected by the pandemic because transactions are made based on trust and communication between consumer and supplier. As the pandemic situation changes individuals' perceptions and behavior of travel, strategies for the recovery of the tourism industry have been discussed. However, since most studies present macro strategies in terms of traditional lodging providers and the government, there is a significant lack of discussion on differentiated pandemic response strategies considering the peculiarity of the sharing economy centered on peer-to-peer transactions. This study discusses the marketing strategy for individual hosts of Airbnb during COVID-19. We empirically analyze the effect of changes in listing descriptions posted by the Airbnb hosts on listing performance after COVID-19 was outbroken. We extract nine aspects described in the listing descriptions using the Attention-Based Aspect Extraction model, which is a deep learning-based aspect extraction method. We model the effect of aspect changes on listing performance after the COVID-19 by observing the frequency of each aspect appeared in the text. In addition, we compare those effects across the types of Airbnb listing. Through this, this study presents an idea for a pandemic crisis response strategy that individual service providers of accommodation sharing services can take depending on the listing type.

A discourse on The Japanese Empire's destruction of official records : Focusing on the persistence of the records of Government-General of Chosen held by the National Archives of Korea (일제의 공문서 폐기 시론 -국가기록원 소장 조선총독부 기록의 잔존성을 중심으로-)

  • Yi, Kyoung Yong
    • The Korean Journal of Archival Studies
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    • no.67
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    • pp.205-236
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    • 2021
  • This study examined the record destruction problem systematically implemented by the Japanese colonial rule during the wartime period, centering on the persistence of the remaining records of Government-General of Chosen. It became clearer to recognize the historical probabilities that the decisions made by the Japanese cabinet were carried out on official documents in the same way throughout the empire, including mainland Japan and colonies. It was also confirmed that a system for disposing of records, such as reduction and organization of public documents, and recycling of paper resources, has already been established against the backdrop of the situation where the war spread and the war situation worsened after the late 1930s. In addition, it was attempted to extract the types and characteristics of documents discarded by the Japanese colonial rule through a review of the regulations on handling secret documents of the Government-General of Chosen and the regulations on the police department. At the same time, it was found that various chiefs (subsidiaries) that could know the status of documents to be retained or the status of preservation according to the governmental regulations revealed that there was no single book, and this was directly related to the massive destruction of official documents by the Joseon Governor-General immediately after defeat.

Types of students' attitudes toward non-face-to-face classes in universities caused by Covid-19: Focusing on the Q methodological approach (코비드-19로 인한 대학의 비대면 수업에 대한 학생들의 태도 유형: Q 방법론적 접근을 중심으로)

  • Choi, Wonjoo;Seo, Sangho
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.6
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    • pp.223-231
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    • 2022
  • Covid-19, which has made a huge difference in our daily lives, has also brought major changes to our college education. As the class was changed from the traditional face-to-face class to a non face-to-face class, both teachers and students had difficulties in adapting, and problems such as the occurrence of academic achievement gaps due to non face-to-face classes were also raised. Therefore, this study aims to find out what attitudes students have toward non-face-to-face classes at universities caused by Covid-19. Accordingly, this study tried to identify the types of subjective perceptions college students have toward non-face-to-face classes by applying the Q methodology, and to suggest points for reference in the development and improvement of non-face-to-face classes in the future. Five types were found as a result of analysis using 30 P samples and 34 Q samples. First, learning efficiency-oriented type, second, class participation and communication-oriented type, third, non-face-to-face class active acceptance and utilization type, fourth, dissatisfaction type due to remote system and equipment operation errors, fifth, passive response type according to the situation to be. From the results of this study, it seems that it is necessary to develop an educational method for effective non-face-to-face class considering the characteristics of each type, and the merits of non-face-to-face classes, especially recorded lectures, in terms of learning efficiency, are evident. Therefore, even if face-to-face classes are conducted entirely at universities, it is believed that providing video-recorded lectures in class will be of great help to students' learning.

Escape Route Prediction and Tracking System using Artificial Intelligence (인공지능을 활용한 도주경로 예측 및 추적 시스템)

  • Yang, Bum-suk;Park, Dea-woo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.05a
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    • pp.225-227
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    • 2022
  • Now In Seoul, about 75,000 CCTVs are installed in 25 district offices. Each ward office in Seoul has built a control center for CCTV control and is building information such as people, vehicle types, license plate recognition and color classification into big data through 24-hour artificial intelligence intelligent image analysis. Seoul Metropolitan Government has signed MOUs with the Ministry of Land, Infrastructure and Transport, the National Police Agency, the Fire Service, the Ministry of Justice, and the military base to enable rapid response to emergency/emergency situations. In other words, we are building a smart city that is safe and can prevent disasters by providing CCTV images of each ward office. In this paper, the CCTV image is designed to extract the characteristics of the vehicle and personnel when an incident occurs through artificial intelligence, and based on this, predict the escape route and enable continuous tracking. It is designed so that the AI automatically selects and displays the CCTV image of the route. It is designed to expand the smart city integration platform by providing image information and extracted information to the adjacent ward office when the escape route of a person or vehicle related to an incident is expected to an area other than the relevant jurisdiction. This paper will contribute as basic data to the development of smart city integrated platform research.

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Current Situation and Future Tasks for Young Adult in Public Libraries-with a special reference to Busan·Ulsan·Gyeongnam (공공도서관 청소년 서비스의 현황과 과제 - 부산·울산·경남지역을 중심으로 -)

  • Lee, Jin-Hwa;Kang, Eun-Yeong
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.33 no.1
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    • pp.95-122
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    • 2022
  • This study aims to investigate the current status of young adult services centering on public libraries in Busan, Ulsan and Gyeongnam, identify problems, and then suggest tasks for service revitalization. The status of young adult services and librarians' perceptions in the 93 public libraries in Busan, Ulsan, and Gyeongnam that were registered in the 2021 National Library Statistics System and the Busan Metropolitan City Library Portal was investigated. As a result of the survey, 24% of public libraries have a space for young adult, and if there is dedicated space, it was found that the most number of bookshelves for young adult were installed inside the space. Libraries that provide young adult services accounted for 76% of the total, and the age range of the service targets was set between 13 and 18 years of age. The analysis revealed that it was difficult to provide services due to a combination of problems such as poor use and passive participation by young adult, lack of dedicated space, lack of manpower for program operation, and lack of budget. Nevertheless, most librarians agreed on the need to provide young adult-only spaces and young adult services. The tasks to revitalize young adult services in public libraries was suggested; expand young adult participation in the space creation and service planning/operation stage, create a space dedicated to young adult, diversify the contents of youth volunteer activities, secure the professionalism of the librarian in charge, human resource utilization, and expand public relations for services.

An Analysis on Climate Change and Military Response Strategies (기후변화와 군 대응전략에 관한 연구)

  • Park Chan-Young;Kim Chang-Jun
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.2
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    • pp.171-179
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    • 2023
  • Due to man-made climate change, global abnormal weather phenomena have occurred, increasing disasters. Major developed countries(military) are preparing for disasters caused by extreme weather appearances. However, currently, disaster prevention plans and facilities have been implemented based on the frequency and intensity method based on statistical data, it is not enough to prepare for disasters caused by frequent extreme weather based on probability basis. The U.S. and British forces have been the fastest to take research and policy approaches related to climate change and the threat of disaster change, and are considering both climate change mitigation and adaptation. The South Korean military regards the perception of disasters to be storm and flood damage, and there is a lack of discussion on extreme weather and disasters due to climate change. In this study, the process of establishing disaster management systems in developed countries(the United States and the United Kingdom) was examined, and the response policies of each country(military) were analyzed using literature analysis techniques. In order to maintain tight security, our military should establish a response policy focusing on sustainability and resilience, and the following three policy approaches are needed. First, it is necessary to analyze the future operational environment of the Korean Peninsula in preparation for the environment that will change due to climate change. Second, it is necessary to discuss climate change 'adaptation policy' for sustainability. Third, it is necessary to prepare for future disasters that may occur due to climate change.

Intelligent Motion Pattern Recognition Algorithm for Abnormal Behavior Detections in Unmanned Stores (무인 점포 사용자 이상행동을 탐지하기 위한 지능형 모션 패턴 인식 알고리즘)

  • Young-june Choi;Ji-young Na;Jun-ho Ahn
    • Journal of Internet Computing and Services
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    • v.24 no.6
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    • pp.73-80
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    • 2023
  • The recent steep increase in the minimum hourly wage has increased the burden of labor costs, and the share of unmanned stores is increasing in the aftermath of COVID-19. As a result, theft crimes targeting unmanned stores are also increasing, and the "Just Walk Out" system is introduced to prevent such thefts, and LiDAR sensors, weight sensors, etc. are used or manually checked through continuous CCTV monitoring. However, the more expensive sensors are used, the higher the initial cost of operating the store and the higher the cost in many ways, and CCTV verification is difficult for managers to monitor around the clock and is limited in use. In this paper, we would like to propose an AI image processing fusion algorithm that can solve these sensors or human-dependent parts and detect customers who perform abnormal behaviors such as theft at low costs that can be used in unmanned stores and provide cloud-based notifications. In addition, this paper verifies the accuracy of each algorithm based on behavior pattern data collected from unmanned stores through motion capture using mediapipe, object detection using YOLO, and fusion algorithm and proves the performance of the convergence algorithm through various scenario designs.

The Effect of Cooperative Learning on Self-directed Learning Ability (협동학습이 자기주도학습 능력에 미치는 효과)

  • KIM KYUNG HEE;CHOI JOO YOUNG
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.6
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    • pp.889-897
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    • 2023
  • This study attempted to examine how participation in a cooperative learning extracurricular program affects the improvement of college students' self-directed learning abilities. In order to operate a cooperative learning extracurricular program, students were recruited voluntarily through the school system. A total of 128 students were selected. They formed groups according to the number of participants and participated in the cooperative learning extracurricular program for 9 weeks. Before the program was implemented and after the program was terminated, a survey was conducted on the self-directed learning ability of participating students through a questionnaire. The effectiveness of the program was examined through pre-post tests of the experimental group. The results are as follow. First, the self-directed learning ability scores of students who participated in the cooperative learning extracurricular program significantly improved. Second, in order to closely analyze self-directed learning ability, the sub-elements of self-directed learning ability were examined, and the scores of self-awareness and learning strategy, which are sub-elements of self-directed learning ability, were found to have significantly increased. However, although scores for learning motivation and learning situations improved, the levels were not found to be statistically significant. Based on these results, we presented discussions for improving college students' self-directed learning ability and ways to revitalize cooperative learning in universities.