• Title/Summary/Keyword: Event-driven

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Current Trend of Accreditation within Medical Education (의학교육 평가인증의 국제적 동향)

  • Ahn, Ducksun
    • Korean Medical Education Review
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    • v.22 no.1
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    • pp.9-15
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    • 2020
  • Currently, accreditation within medical education is a priority on the agenda for many countries worldwide. The World Federation for Medical Education's (WFME) launch of its first trilogy of standards in 2003 was a seminal event in promoting accreditation within basic medical education (BME) globally. Parallel to that, WFME also actively spearheaded a project to recognize the accrediting agencies within individual countries. The introduction of competency-based medical education (CBME) with the two key concepts of "entrusted professional activity" and milestones has enabled researchers to identify the relationship between patient outcomes and medical education. Recent data driven by CBME has been used for the continuous quality improvement of trainees and training programmes as well. The goal of accreditation has shifted from the single purpose of quality assurance to balancing quality assurance and quality improvement. Even though there are a plethora of types of postgraduate medical education (PGME), it may be possible to accredit resident programmes on a global scale by adopting the concept of CBME. In addition, the alignment of the accreditation for BME and PGME, which center on competency, will be achievable. This argument may extend the possibility of measuring the outcomes of the accreditation itself against patient outcomes as well. Therefore, evidence of the advantages of costly and labor-consuming accreditation processes will be available in the near future and quality improvement will be the driving force of the accreditation process.

SEISMIC ISOLATION OF LEAD-COOLED REACTORS: THE EUROPEAN PROJECT SILER

  • Forni, Massimo;Poggianti, Alessandro;Scipinotti, Riccardo;Dusi, Alberto;Manzoni, Elena
    • Nuclear Engineering and Technology
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    • v.46 no.5
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    • pp.595-604
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    • 2014
  • SILER (Seismic-Initiated event risk mitigation in LEad-cooled Reactors) is a Collaborative Project, partially funded by the European Commission in the $7^{th}$ Framework Programme, aimed at studying the risk associated to seismic-initiated events in Generation IV Heavy Liquid Metal reactors, and developing adequate protection measures. The project started in October 2011, and will run for a duration of three years. The attention of SILER is focused on the evaluation of the effects of earthquakes, with particular regards to beyond-design seismic events, and to the identification of mitigation strategies, acting both on structures and components design. Special efforts are devoted to the development of seismic isolation devices and related interface components. Two reference designs, at the state of development available at the beginning of the project and coming from the $6^{th}$ Framework Programme, have been considered: ELSY (European Lead Fast Reactor) for the Lead Fast Reactors (LFR), and MYRRHA (Multi-purpose hYbrid Research Reactor for High-tech Applications) for the Accelerator-Driven Systems (ADS). This paper describes the main activities and results obtained so far, paying particular attention to the development of seismic isolators, and the interface components which must be installed between the isolated reactor building and the non-isolated parts of the plant, such as the pipe expansion joints and the joint-cover of the seismic gap.

On the Traditional Dance and Costume in the Toraja

  • Hwang, Oak-Soh
    • International Journal of Costume and Fashion
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    • v.8 no.2
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    • pp.32-49
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    • 2008
  • The Torajan people who started to receive increased attention from the 1990 are one of the many ethnic groups of Indonesia. This paper intends to examine Torajan Ceremonies practied today in the modern world, driven by the Torajan people's age-old perspective of life and death (and the world after) that comes from their background on traditional lifestyle and (animated) folk religion/belief. It focuses on the ceremonial Dances, which is one of the most important element in Torajan Ceremonies, and gain deeper insight through its costumes and ornaments which traditionally revealed the social status of hosts and performers. In ceremony, the most important division is the classification of ritual into Aluk rampe matallo(life facing ritual ) and Aluk rampe matampu? death ritual). So Traditional Toraja dances may be classified into two genres: life related ritual dances and death ritual dances. Especially the funeral ceremonies in Toraja has been rather more famous on its spectacle aspect to outsiders however its relationships to the broader theme of Torajan Ceremonies and ceremonial dances are very less known and sources on this topic are also very scarce. Fortunately, I was able to witness one of such an ritual event. I did see one kind of the funeral rituals which is the most dramatic and symbolically rich performances in Toraja. Here, a brief account of its will highlight some dimension of ceremony, personfood, and potency in Torajan thought and action.

Global Gold Decoupling from the Dollar and Its implications

  • Chae, Dae-Seok;Hur, Hyung-Doh
    • International Commerce and Information Review
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    • v.8 no.1
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    • pp.371-398
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    • 2006
  • Gold prices are rising around the world in all major currencies. This is a telltale sign of a Stage Two gold bull where gold decouples from the US dollar. In this study, We analysed a confluence of factors seem to be feeding gold's gains and the typical shape of a secular gold bull---gold bulls' three stages. Stages one, two, and three of a secular gold bull are defined by the major changes. Each stage, considered in turn, makes perfect sense when described in terms of global investor demand. Since Stage One is currency-devaluation driven, the young gold bull is most noticeable in terms of the dominant eroding currency. Now after three or four years of stage one, Stage Two arrives. Stage Two marks a momentous event when gold decouples from the local-currency devaluation. In the case of our gold bull today, Stage Two will be here when gold starts consistently rising faster than the dollar is able to fall. After five or so years of Stage Two gains, gold has a chance at going ballistic in stage three. Stage Three is only ignited if the general public around the world starts growing enamored with gold investing. In summary, the first stage being when insiders and professionals invest in the market. The second stage is when the general public and financial media recognizes that the bull market is real. The third stage is the mania stage when people feel that not only is the bull market real, but it is a must own situation. Through the study we found that gold is entering it now.

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Electronic Commerce Workflow Modeling Tool Design Using Database Agent (DB에이전트를 이용한 전자상거래 워크플로우 모델링 도구 설계)

  • 오종태
    • Journal of the Korea Society of Computer and Information
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    • v.8 no.3
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    • pp.16-25
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    • 2003
  • Modeller is defined as the office work procedures(business processes), and that is systemically based upon the real-time collaborative operations by a set of actors, which is called group. This paper describes the design of the ICN editor that is operable under the real-time collaborative computing environment. We use the database agent that enables the ICN editor to operate among multiple actors(group) through the event-driven collaboration platform. Consequently, a set of workflow and business processes defined through this editor is not only stored onto database but also transformed into the format of the workflow process definition language(WPDL) that is a standardized worflow description and specification language proposed by the workflow management coalition(WfMC). This method can improve the performance of workflow processing by minimizing the workflow execution cost occurred during workflow definition.

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Parameter Optimization and Uncertainty Analysis of the Rainfall-Runoff Model (강우-유출모형 매개변수의 최적화 및 불확실성 분석)

  • Moon, Young-Il;Kwon, Hyun-Han
    • 한국방재학회:학술대회논문집
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    • 2008.02a
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    • pp.723-726
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    • 2008
  • It is not always easy to estimate the parameters in hydrologic models due to insufficient hydrologic data when hydraulic structures are designed or water resources plan are established, uncertainty analysis, therefore, are inevitably needed to examine reliability for the estimated results. With regard to this point, this study applies a Bayesian Markov Chain Monte Carlo scheme to the NWS-PC rainfall-runoff model that has been widely used, and a case study is performed in Soyang Dam watershed in Korea. The NWS-PC model is calibrated against observed daily runoff, and thirteen parameters in the model are optimized as well as posterior distributions associated with each parameter are derived. The Bayesian Markov Chain Monte Carlo shows a improved result in terms of statistical performance measures and graphical examination. The patterns of runoff can be influenced by various factors and the Bayesian approaches are capable of translating the uncertainties into parameter uncertainties. One could provide against an expected runoff event by utilizing information driven by Bayesian methods. Therefore, the rainfall-runoff analysis coupled with the uncertainty analysis can give us an insight in evaluating flood risk and dam size in a reasonable way.

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Design of IoT Gateway for Storing Sensor Data using Ardulink based MQTT (Ardulink 기반 MQTT를 이용한 센서 데이터 저장을위한 IoT 게이트웨이 설계)

  • Nkenyereye, Lionel;Jang, Jong-Wook
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.10a
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    • pp.744-747
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    • 2017
  • The Internet of things (IoT) needs to be an event-driven approach for efficient real time response and processing. An IoT gateway is sometimes employed to provide the connection and translation between devices and the cloud. Storing data in the local database, and then forwarding it on the cloud is a task to be relegated to a gateway device In this paper, we propose the design of the IoT gateway with Fog computing for storing data from sensors into a local database. In the procedure of designing storing tasks, we propose to use the interfacing software known as Ardulink MQTT bridge. MQTT is a protocol for sensors to publish data to the clients. When it comes to needing historical data, MQTT connector can push MQTT data into SQL database. We write an MQTT client and based on the message topic insert the values into a SQL Database The design of IoT gateway with Fog computing adds value because it provides processing of the data across multiple devices before it sends to the cloud.

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Energy-efficient Broadcasting of XML Data in Mobile Computing Environments (이동 컴퓨팅 환경에서 XML 데이타의 에너지 효율적인 방송)

  • Kim Chung Soo;Park Chang-Sup;Chung Yon Dohn
    • Journal of KIISE:Databases
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    • v.33 no.1
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    • pp.117-128
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    • 2006
  • In this paper, we propose a streaming method for XML data that supports energy-efficient processing of queries over the stream in mobile clients. We propose new stream organizations for XML data which have different kinds of addresses to related data in a stream. We describe event-driven stream generation algorithms for the proposed stream structures and provide search algorithms for simple XML path queries which leverage the access mechanisms incorporated in the stream. Experimental results show that our approaches can effectively improve the tuning time performance of user queries in a wireless broadcasting environment.

Performance Evaluation for a Unicast Vehicular Delay Tolerant Routing Protocol Networks

  • Abdalla, Ahmed Mohamed
    • International Journal of Computer Science & Network Security
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    • v.22 no.2
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    • pp.167-174
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    • 2022
  • Vehicular Ad hoc Networks are considered as special kind of Mobile Ad Hoc Networks. VANETs are a new emerging recently developed, advanced technology that allows a wide set of applications related to providing more safety on roads, more convenience for passengers, self-driven vehicles, and intelligent transportation systems (ITS). Delay Tolerant Networks (DTN) are networks that allow communication in the event of connection problems, such as delays, intermittent connections, high error rates, and so on. Moreover, these are used in areas that may not have end-to-end connectivity. The expansion from DTN to VANET resulted in Vehicle Delay Tolerant Networks (VDTN). In this approach, a vehicle stores and carries a message in its buffer, and when the opportunity arises, it forwards the message to another node. Carry-store-forward mechanisms, packets in VDTNs can be delivered to the destination without clear connection between the transmitter and the receiver. The primary goals of routing protocols in VDTNs is to maximize the probability of delivery ratio to the destination node, while minimizing the total end-to-end delay. DTNs are used in a variety of operating environments, including those that are subject to failures and interruptions, and those with high delay, such as vehicle ad hoc networks (VANETs). This paper discusses DTN routing protocols belonging to unicast delay tolerant position based. The comparison was implemented using the NS2 simulator. Simulation of the three DTN routing protocols GeOpps, GeoSpray, and MaxProp is recorded, and the results are presented.

A Machine Learning-Driven Approach for Wildfire Detection Using Hybrid-Sentinel Data: A Case Study of the 2022 Uljin Wildfire, South Korea

  • Linh Nguyen Van;Min Ho Yeon;Jin Hyeong Lee;Gi Ha Lee
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.175-175
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    • 2023
  • Detection and monitoring of wildfires are essential for limiting their harmful effects on ecosystems, human lives, and property. In this research, we propose a novel method running in the Google Earth Engine platform for identifying and characterizing burnt regions using a hybrid of Sentinel-1 (C-band synthetic aperture radar) and Sentinel-2 (multispectral photography) images. The 2022 Uljin wildfire, the severest event in South Korean history, is the primary area of our investigation. Given its documented success in remote sensing and land cover categorization applications, we select the Random Forest (RF) method as our primary classifier. Next, we evaluate the performance of our model using multiple accuracy measures, including overall accuracy (OA), Kappa coefficient, and area under the curve (AUC). The proposed method shows the accuracy and resilience of wildfire identification compared to traditional methods that depend on survey data. These results have significant implications for the development of efficient and dependable wildfire monitoring systems and add to our knowledge of how machine learning and remote sensing-based approaches may be combined to improve environmental monitoring and management applications.

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