• Title/Summary/Keyword: 프레임워크 개발

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SANETconf: an IP configuration protocol for a shipborne ad-hoc network (SANET) (SANETconf: 선박 애드혹 네트워크를 위한 IP 할당 프로토콜)

  • Yun, Changho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.23 no.2
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    • pp.179-192
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    • 2019
  • Additional frequencies are allocated in maritime digital data exchange to alleviate overload of the VHF data link. The shipborne ad-hoc network (SANET) for this frequencies was subsequently proposed, which provides various IP-based services to ships on behalf of satellite communications. In SANET, a ship should determine its own IP address to achieve IP connectivity to the shore. Accordingly, this paper proposes a SANET configuration (SANETconf) protocol as an IP configuration protocol. SANETconf propagates non-overlapping IP addresses across the network from the shore to ships. A ship obtains its IP address by exchanging Request and Response messages with its neighbors. Therefore, SANETconf eliminates the process of DAD and managing the movement of ships. Extensive simulations were performed to verify the applicability of SANETconf. Based on results, 85% of the ships can determine their own IP address within one frame. Also, SANETconf has a high resource efficiency by using 0.024 percent of resources for IP configuration.

A Study on Biomass Estimation Technique of Invertebrate Grazers Using Multi-object Tracking Model Based on Deep Learning (딥러닝 기반 다중 객체 추적 모델을 활용한 조식성 무척추동물 현존량 추정 기법 연구)

  • Bak, Suho;Kim, Heung-Min;Lee, Heeone;Han, Jeong-Ik;Kim, Tak-Young;Lim, Jae-Young;Jang, Seon Woong
    • Korean Journal of Remote Sensing
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    • v.38 no.3
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    • pp.237-250
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    • 2022
  • In this study, we propose a method to estimate the biomass of invertebrate grazers from the videos with underwater drones by using a multi-object tracking model based on deep learning. In order to detect invertebrate grazers by classes, we used YOLOv5 (You Only Look Once version 5). For biomass estimation we used DeepSORT (Deep Simple Online and real-time tracking). The performance of each model was evaluated on a workstation with a GPU accelerator. YOLOv5 averaged 0.9 or more mean Average Precision (mAP), and we confirmed it shows about 59 fps at 4 k resolution when using YOLOv5s model and DeepSORT algorithm. Applying the proposed method in the field, there was a tendency to be overestimated by about 28%, but it was confirmed that the level of error was low compared to the biomass estimation using object detection model only. A follow-up study is needed to improve the accuracy for the cases where frame images go out of focus continuously or underwater drones turn rapidly. However,should these issues be improved, it can be utilized in the production of decision support data in the field of invertebrate grazers control and monitoring in the future.

A Study on the Activation for the Mobile App Services of Local Government (지방자치단체의 모바일 앱 서비스 이용 활성화 방안에 관한 연구: 부산광역시를 중심으로)

  • Jung, Su Hee;Hong, Soon Goo;Cha, Yoon Sook;Kim, Jong Weon
    • Journal of Korea Society of Industrial Information Systems
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    • v.18 no.2
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    • pp.71-83
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    • 2013
  • Because of rapid advance of wireless Internet-related technology and fast diffusion of Smart phone, a variety of mobile applications through domestic and foreign app stores have been made and used. Under the recognition of current trend, both central government and local government have developed and provided public mobile app in order to accomplish the mobile e-government. However, public mobile app is not popular in spite of vast investment for its development and service. This study investigated current issues and problems of public mobile app in public service, management, and technology aspects. To do so, this study categorized the interested people of public mobile app into users, providers, and developers, and conducted deep interviews to them. Based on the interview results, the study suggested the following recommendations for the activating tools of public mobile app: providing user-customized information, fruitfulness of public information management, maintenance of management system for public mobile app service, user-friendly promotion appropriate in mobile environment, public mobile app development based on e-government standard framework, etc.. This study may provide the researchers with the successive study guidelines in mobile e-government and public mobile app fields. Also, the study may help the practitioners to make effective decisions on polices and strategies for mobile e-government of local government.

A Study on the Factors Affecting the Service Failure ZOT and severity Perception (서비스실패의 허용영역과 심각성 지각에 영향을 미치는 요인에 관한 연구)

  • Ock, Jung Won;Yun, Dae Hoong;Eum, Seong Won;Yim, Sun Joo
    • Journal of Service Research and Studies
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    • v.6 no.2
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    • pp.215-232
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    • 2016
  • As the development of service marketing, research on service failure has gained more and more attention. This research aims to explore factors influencing the service failure severity perception, focus on consumers' internal propensity, ZOT(zone of tolerance) about service and comparison with other consumers in service failure situation. According to study results, it revealed that past experience satisfaction has negative effect on the zone of tolerance about service failure. Company image also has negative effect on the ZOT about service failure. While service importance has negative effect on the ZOT about service failure, it has positive effect on the perceive service failure severity. The ZOT about service failure has negative effect on perceived serviced failure severity. In contrast, social comparison perception level has no effect on perceived service failure severity, and negative affectivity also has no effect on that. In Conclusion, five hypothesis are accepted among seven hypothesis. This study gives important point to researchers and service providers in the service industry. For researchers, the result will be helpful them to further develop service failure and recovery framework. For service providers, the results will suggest specific guidelines for recovering the service failure. They can place emphasis on the serious point, so they can get a effective performance from the recovery strategy.

IFC Property Set-based Approach for Generating Semantic Information of Steel Box Girder Bridge Components (IFC Property Set을 활용한 강박스교 구성요소의 의미정보 생성)

  • Lee, Sang-Ho;Park, Sang Il;Park, Kun-Young
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.34 no.2
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    • pp.687-697
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    • 2014
  • This study ranges from planning phase to the detailed design phase of steel box girder bridge and proposes ways to generate semantic information of components through Industry Foundation Classes (IFC), a data model for Building Information Modeling (BIM). The classification of components of steel box girder bridge was performed to define information items required for identifying semantic information based on IFC, and spatial information items based on topology and physical information items based on functions of components were classified to create additional properties that does not support IFC by applying user-defined property set within the IFC framework. Steel box girder bridge information model based on IFC was implemented through BIM software and semantic information input interface, which was developed in this study to examine the effectiveness of the additionally created user-defined property. Furthermore, the quantity take-off of components was performed through information model of steel box girder bridge, and the applicability of the proposed method was tested by comparing the quantity take-off based on design document with the result.

Using the Binomial Option Pricing Model for Strategic Sales of CER's to Improve the Economic Feasibility of CDM projects (이항옵션가격 모형을 활용한 CER 판매전략 구축과 이를 통한 CDM 사업 수익성 향상 방안에 관한 연구)

  • Koo, Bonsang;Park, Jong-Ho;Kim, Cheong-Woon
    • Korean Journal of Construction Engineering and Management
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    • v.15 no.1
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    • pp.111-121
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    • 2014
  • The Clean Development Mechanism (CDM) allows New & Renewable Energy projects to make additional income by selling CER's, which represent the amount of Green House Gases(GHG) that is reduced in the project. However, forward contracts used to hedge fluctuating market prices does not allow projects to sell CER's at a premium. As an alternate approach to maximize CER revenue, CER's are modeled as a 'real option', in which CER's are sold only above the desired sales price. Using the Binomial Option Pricing model, the resultant lattices are used to determine whether to sell, defer or abandon the option at individual nodes. Overlaying Pascal's Triangle on the lattices also enabled the calculation of the annual probabilities for deferring CER sales without incurring downside losses. Application to an actual Landfill Gas project showed increased overall NPV, and that CER sales could be deferred at a maximum of 2 years. The proposed framework allows transparency in the analysis and provides valuable and strategical information when making investment decisions related to CER sales of CDM projects.

Satellite Imagery and AI-based Disaster Monitoring and Establishing a Feasible Integrated Near Real-Time Disaster Monitoring System (위성영상-AI 기반 재난모니터링과 실현 가능한 준실시간 통합 재난모니터링 시스템)

  • KIM, Junwoo;KIM, Duk-jin
    • Journal of the Korean Association of Geographic Information Studies
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    • v.23 no.3
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    • pp.236-251
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    • 2020
  • As remote sensing technologies are evolving, and more satellites are orbited, the demand for using satellite data for disaster monitoring is rapidly increasing. Although natural and social disasters have been monitored using satellite data, constraints on establishing an integrated satellite-based near real-time disaster monitoring system have not been identified yet, and thus a novel framework for establishing such system remains to be presented. This research identifies constraints on establishing satellite data-based near real-time disaster monitoring systems by devising and testing a new conceptual framework of disaster monitoring, and then presents a feasible disaster monitoring system that relies mainly on acquirable satellite data. Implementing near real-time disaster monitoring by satellite remote sensing is constrained by technological and economic factors, and more significantly, it is also limited by interactions between organisations and policy that hamper timely acquiring appropriate satellite data for the purpose, and institutional factors that are related to satellite data analyses. Such constraints could be eased by employing an integrated computing platform, such as Amazon Web Services(AWS), which enables obtaining, storing and analysing satellite data, and by developing a toolkit by which appropriate satellites'sensors that are required for monitoring specific types of disaster, and their orbits, can be analysed. It is anticipated that the findings of this research could be used as meaningful reference when trying to establishing a satellite-based near real-time disaster monitoring system in any country.

Overlay Rendering of Multiple Geo-Based Images Using WebGL Blending Technique (WebGL 블렌딩 기법을 이용한 다중 공간영상정보 중첩 가시화)

  • Kim, Kwang-Seob;Lee, Ki-Won
    • Journal of the Korean Association of Geographic Information Studies
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    • v.15 no.4
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    • pp.104-113
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    • 2012
  • Followed by that HTML5(Hypertext Markup Language5) was introduced, many kinds of program and services based on this have been developed and released. HTML5 is technical standard specifications for cross platform for personal computers and mobile devices so that it is expected that continuing progress and wide application in the both sides of the academic and the industrial fields increase. This study is to design and implement a mobile application program for overlay rendering with DEM and other geo-based image sets using HTML5 WebGL for 3D graphic processing on web environment. Particularly, the blending technique was used for overlay processing with multiple images. Among available WebGL frameworks, CubicVR.js was adopted, and various blending techniques were provided in the user interface for general users. For the actual application in the study area around the Sejong city, serveral types of geo-based data sets were used and processed: KOMPSAT-2 images, ALOS PALSAR SAR images, and grid data by environment measurements. While, DEM for 3D viewing with these geo-based images was produced using contour information of the digital map sets. This work demonstrates possibilities that new types of contents and service system using geo-based images can be extracted and applied.

Development of Digital Literacy Curriculum Framework Connected Computational Thinking in the information Education (정보과 교육과정에서 컴퓨팅사고력과 연계한 디지털소양 교육과정 프레임워크 개발)

  • Shin, Soo-Bum;Kim, Chul;Park, Namje;Kim, Kap-Su;Sung, Young-Hoon;Jeong, Young-Sik
    • Journal of The Korean Association of Information Education
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    • v.21 no.1
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    • pp.115-126
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    • 2017
  • This study provided digital literacy concept, core area and class achievement connected computational thinking in order to reestablish digital literacy keeping pace with trend change. Main study's contents analyzed digital literacy concept and changing trend of digital technologies, provided characters of information subject matter education. Implications from these analyses is that necessary digital literacy is to support software education, contents being connected computational thinking and contents being necessary. And we committed Delphi investigation to 16 information education expert on total 67 achievements based on these previous studies. Survey results totally surpassed CVR criterion of digital literacy called information life and then readjusting parts of achievements through panel discussions because of partially being lower than Validity criterion. Finally achievements of Information Life came into existence 5 items for 1st, 2nd of elementary school level(ESL), 13 items for 3rd, 4th of ESL, 23 items for 5th, 6th of ESL, 16 items for middle school Level.

Comparison of Security Education Program of Woman Information Security Majors of Seoul Region (서울지역 여성 정보보호전공의 보안교육 프로그램 비교)

  • Hong, Jin-Keun
    • Journal of the Korea Convergence Society
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    • v.11 no.10
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    • pp.107-113
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    • 2020
  • With the development of IT technology, along with the expansion of women's participation in society, the education training of information security women's workforce is becoming a very important issue. Therefore, it is important to analyze the relevant curriculum to identify the direction of fostering women's information security workforce. Therefore, in this paper, the education and training programs of the department for training women's information security workforce based in Seoul area of the Korean metropolitan area were analyzed. The main research objective of this paper is to review whether the education and training system, which consists of the department of women's information security human resources development, is in line with the direction of NIST's human resources development. The research focus was on what the women's information security department organizes courses with each security major and what task training is interested in. In addition, in this paper, we were confirmed that the curriculum of the relevant major is based on the NIST Human Resources Development Framework, and that the majors of the relevant universities have an education and training system that conforms to the relevant task. In conclusion, the related majors are judged to be focused on the development of certification evaluation personnel of convergence industry security or information security development personnel, and general cyber security personnel.