• Title/Summary/Keyword: Tier 2

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A Multi-tier Based Lying Posture Discrimination Algorithm Using Lattice Type Pressure Sensors Allocation (격자형 압력 센서 배치 구조를 이용한 다층 기반 누운 자세 판별 알고리즘)

  • Cho, Min Jae;Hong, Youn-Sik
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.20 no.6
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    • pp.402-409
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    • 2019
  • Patients with dementia or elderly patients who can not move at all by themselves are at a high risk of falls and bedsore due to lack of caregivers. In this paper, to solve this problem, we propose an algorithm to determine the patient's lying postures by discriminating the main body parts such as head, shoulders, and hips based on the pressure intensity sensed at regular intervals. A smart mat with a lattice structure in which a pressure sensor is arranged so that the body part can be discriminated irrespective of the physical characteristics has been implemented. It consists of two modules of $7{\times}7$ array size. Each module consists of 49 FSR-406 sensors and independently senses pressure. For each module, the body part corresponding to the upper body or the lower body is sequentially discriminated by using a pressure distribution such as a cumulative pressure sum using a filter. The proposed algorithm can identify five lying positions by examining the inclusion relationship between body parts belonging to layer-1 such as head, shoulder, and hip area.

An Analysis on Priority of School Library Evaluation Index Utilizing the AHP (AHP를 활용한 학교도서관 운영평가 지표의 우선순위 분석)

  • Lim, Jeong-Hoon;Lee, Byeong-Kee
    • Journal of Korean Library and Information Science Society
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    • v.50 no.2
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    • pp.169-189
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    • 2019
  • The purpose of this study was to elicit the priority of the index of the operation evaluation of the school library, and to present measures for improvement of the evaluation index that reflects the project sites. To this end, the school library evaluation index was analyzed by applying the Analytic Hierarchy Process(AHP) analysis method to teacher librarians who are the representative personnel of the school library. According to the research, the priority of the upper tier evaluation areas was human resources, library services, information resources, library management, facilities and environment, and the priority of the lower tier evaluation items was human resource allocation, human resources expertise, reading education, information literacy education, efforts to activate education, book composition snowflake, the latest book, budget, facility access, book status, appropriateness of facilities and facilities, management plan, proximity accessibility, PR and marketing, school library steering committee, cooperation, use of materials current status. The conclusions drawn from this study could be used as basic data in the application of fieldworked school library assessment indicators.

A Study on How to Build a Disaster Recovery System that can Minimize Recovery Time Objective(RTO) and Recovery Point Objective(RPO) to Ensure Business Continuity (비즈니스 연속성 보장을 위한 복구 시간 목표(RTO) 및 복구 지점 목표(RPO)를 최소화할 수 있는 재해복구시스템 구축 방안 연구)

  • Kang, Hyun-Sun
    • Journal of Software Assessment and Valuation
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    • v.17 no.2
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    • pp.91-99
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    • 2021
  • In the current business environment where dependence on IT has increased rapidly, the risk from disasters or cyber-attacks is also increasing. Business continuity, the ability to continue to provide service in the event of a business disruption caused by a disaster, is essential. In other words, you need to have a plan in place to keep your core business functions uninterrupted with rapid recovery within a predetermined Recovery Time Objective (RTO) and Recovery Point Objective (RPO) time frame. In this paper, we propose a disaster recovery system construction method that can minimize RTO and RPO to ensure business continuity. The system configuration adopts Tier 7 disaster recovery model, synchronous storage replication, hot disaster recovery site, and operation management automation solution. This ensures continuity of core business with virtually no data loss and minimal RTO and RPO.

The Development of N2O Emission Factor at Municipal Solid Waste Incinerator (도시고형폐기물 소각시설의 N2O 배출계수 개발)

  • Ko, Jae Churl;Choi, Sang Hyun
    • Clean Technology
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    • v.25 no.1
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    • pp.40-45
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    • 2019
  • In this study, nitrous oxide ($N_2O$) emission concentration was measured 3 times continuously for 24 hours from August 27, 2018 to October 22, 2018 and non-dispersive infrared (NDIR) spectrometer was used to calculate $N_2O$ concentration of exhaust gas from municipal solid waste (MSW) incinerator. As a result of $N_2O$ emission characteristics, it is estimated that $N_2O$ emission concentration is due to the difference of furnace temperature, oxygen concentration rather than the chemical component of waste. The measured $N_2O$ emission concentration of MSW incinerator was obtained in the range of 53.6 ~ 59.5 ppm and the total average concentration was measured 55.6 ppm. Therefore, the amount of $N_2O$ emissions calculated from the $N_2O$ concentration was $98.05kg\;day^{-1}$ on average and the amount of $N_2O$ distribution in the range of $90.41{\sim}108.44kg\;day^{-1}$ was obtained. As a result, the $N_2O$ emission factor of the MSW incinerator was estimated to be $1,066.13g_{N_2O}\;ton_{waste^{-1}}$. The estimated $N_2O$ emission factor of the MSW incinerator was 20 times higher than calculated emission factor used in the Tier 2 method. Consequently, it is considered that the method of calculating the amount of $N_2O$ emission in the MSW incineration facilities using waste type and incineration amount needs to be supplemented to ensure accuracy.

A Knowledge Discovery Framework for Spatiotemporal Data Mining

  • Lee, Jun-Wook;Lee, Yong-Joon
    • Journal of Information Processing Systems
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    • v.2 no.2
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    • pp.124-129
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    • 2006
  • With the explosive increase in the generation and utilization of spatiotemporal data sets, many research efforts have been focused on the efficient handling of the large volume of spatiotemporal sets. With the remarkable growth of ubiquitous computing technology, mining from the huge volume of spatiotemporal data sets is regarded as a core technology which can provide real world applications with intelligence. In this paper, we propose a 3-tier knowledge discovery framework for spatiotemporal data mining. This framework provides a foundation model not only to define the problem of spatiotemporal knowledge discovery but also to represent new knowledge and its relationships. Using the proposed knowledge discovery framework, we can easily formalize spatiotemporal data mining problems. The representation model is very useful in modeling the basic elements and the relationships between the objects in spatiotemporal data sets, information and knowledge.

A Study on the Greenhouse Gas emission from Ships in Korea (선박부문 온실가스 배출량 산정에 관한 연구)

  • Choe, Sang-Jin;Park, Seong-Gyu;Jang, Yeong-Gi;Lee, Hui-Gwan;Hwang, Ui-Hyeon;Bong, Chun-Geun
    • Journal of Korean Society of Transportation
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    • v.28 no.6
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    • pp.33-42
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    • 2010
  • Recently, the reduction of greenhouse gases(GHG) for climate change is the most important international issue. In order to control efficiency GHG emission rate reduction, it is essential to establish GHG emission inventory preferentially. The emission of ships that are emitting its $CO_2$ in international waters is becoming chief among the issues which country is put under an obligation. In the IMO reports, shipping is estimate to emit 1,046million tonnes of $CO_2$, which corresponds to 3.3% of global emission during 2007. International shipping is estimated to have emitted 870 million tonnes, about 2.7% of global emission of $CO_2$ in 2007. In this study, the general information of GHG emission, based on fuel consumption statistic, Tier 1, and the emission inventory is calculated to break down in to domestic and international emission. The GHG emission from ships in Korea was total 31,646 Gg $CO_2$-eq in 2009, which is included fishing, Korea flag coastal ship, Korea flag ocean going ship and foreign flag ships. And domestic emission and international emission was 5,398Gg $CO_2$-eq, 7,630Gg $CO_2$-eq and foreign flag ship was 18,618Gg $CO_2$-eq respectively.

A Study for Construction of CO2 Inventory Using GIS (지리정보시스템을 활용한 CO2 인벤토리 구축 방안에 관한 연구)

  • Oh, Sang-Hak;Kim, Dae-Wuk;Ryu, Ji-Won;Cha, Jae-Gyu;Jung, Eung-Ho
    • Journal of the Korean Association of Geographic Information Studies
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    • v.14 no.2
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    • pp.40-52
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    • 2011
  • In this study, $CO_2$ emission quantities by spatial characteristics using GIS were investigated for building a $CO_2$ emission inventory. Eventually, this study provides the guidelines to build the urban spatial structure for reducing greenhouse gas and contributes to the transition to environmental friendly green city. The attribute data for GIS were energy (electricity and gas) usage in the city of Daegu for 2009 and used for Tier 1 as suggested by the IPCC guideline to estimate amount of $CO_2$ emission. The spatial data were built based on land use types categorized by building purposes with connecting building registers to cadastral maps for Daegu city. Spatial $CO_2$ emission quantities could be calculated by combining $CO_2$ emission inventory for energy and GIS. Also, $CO_2$ emission characteristics were different by land use types.

Automatic Generator for Component-Based Web Database Applications (컴포넌트 기반 웹 데이터베이스 응용의 자동 생성기)

  • Eum, Doo-Hun;Ko, Min-Jeung;Kang, I-Zzy
    • The KIPS Transactions:PartD
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    • v.11D no.2
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    • pp.371-380
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    • 2004
  • E-commerce is in wide use with the rapid advance of internet technology. The main component of an e-commerce application is a Web-based database application. Currently, it takes a lot of time in developing Web applications since developers should write codes manually or semi-automatically for user interface forms and query processing of an application. Therefore, the productivity increase of Web-based database applications has been demanded. In this paper, we introduce a software tool, which we call the WebSiteGen2, that automatically generates the forms that we used as user interfaces and the EJB/JSP components that process the query made through the forms for an application that needs a new database or uses an existing database. The WebSiteGen2 thus increases the productivity, reusability, expandibility, and portability of an application by automatically generating a 3-tier application based on component technology. Moreover, one user interface form that are generated by the WebSiteGen2 provides information on an interested entity as well as information on all the directly or indirectly related entities with the interested one. In this paper, we explain the functionality and implementation of the WebSiteGen2 and then show the merits by comparing the WebSiteGen2 to the other commercial Web application generators.

Gridded Expansion of Forest Flux Observations and Mapping of Daily CO2 Absorption by the Forests in Korea Using Numerical Weather Prediction Data and Satellite Images (국지예보모델과 위성영상을 이용한 극상림 플럭스 관측의 공간연속면 확장 및 우리나라 산림의 일일 탄소흡수능 격자자료 산출)

  • Kim, Gunah;Cho, Jaeil;Kang, Minseok;Lee, Bora;Kim, Eun-Sook;Choi, Chuluong;Lee, Hanlim;Lee, Taeyun;Lee, Yangwon
    • Korean Journal of Remote Sensing
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    • v.36 no.6_1
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    • pp.1449-1463
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    • 2020
  • As recent global warming and climate changes become more serious, the importance of CO2 absorption by forests is increasing to cope with the greenhouse gas issues. According to the UN Framework Convention on Climate Change, it is required to calculate national CO2 absorptions at the local level in a more scientific and rigorous manner. This paper presents the gridded expansion of forest flux observations and mapping of daily CO2 absorption by the forests in Korea using numerical weather prediction data and satellite images. To consider the sensitive daily changes of plant photosynthesis, we built a machine learning model to retrieve the daily RACA (reference amount of CO2 absorption) by referring to the climax forest in Gwangneung and adopted the NIFoS (National Institute of Forest Science) lookup table for the CO2 absorption by forest type and age to produce the daily AACA (actual amount of CO2 absorption) raster data with the spatial variation of the forests in Korea. In the experiment for the 1,095 days between Jan 1, 2013 and Dec 31, 2015, our RACA retrieval model showed high accuracy with a correlation coefficient of 0.948. To achieve the tier 3 daily statistics for AACA, long-term and detailed forest surveying should be combined with the model in the future.

특집:녹색선박 SCR시스템 기술개발 현황 - 선박용 질소산화물 저감장치 개발의 필요성 및 규제현황

  • Jeong, Gyeong-Yeol;Park, Chang-Dae;Im, Byeong-Ju;Kim, Seong-Yun;Kim, Min
    • 기계와재료
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    • v.24 no.2
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    • pp.28-36
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    • 2012
  • IMO의 해양오명 방지협약(MARPOL 73/78)에 의하면 선박 배기가스에 포함된 질소산화물(NOx)과 황산화물(SOx)의 배출 제한을 강화한 IMO Tier III 기준이 2010년에 발효되어 2016년부터 신조선에 적용되며, NOx는 85% 이상 저감할 것을 요구하고 있다. 국제적으로 적용되는 선박배출가스 기준을 국내에 적용하고, 검증하기 위해서는 이를 시험할 수 있는 시험/검증 절차와 방법을 개발하는 것 또한 시급한 문제이다. 선진국들은 이미 오염물질 배출 저감 장비를 채택하고 대기 중 오염물질 측정 장치 도입을 추구하는 추세이며, 친환경 선박 기자재 개발로 차세대 녹색선박기술 선점을 주력하고 있다. 대한전기협회에서는 독일 VGB사의 "VGB-R 302 He 1998 $2^{nd}$ Revised edition" 2010년 판을 참고하여 발전소에 대한 SCR 시스템의 성능시험 및 진단 권장지침을 만들어 이용하고 있지만, 선박 SCR 시스템에 대한 내용은 정해진 바 없으며, 이를 개발하는 것 또한 중요하다.

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