• 제목/요약/키워드: Community-wide

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신기후체제 하의 국제탄소시장에 관한 최신 논의 현황과 시사점 (Current Discussions on International Carbon Markets under the Post-2020 Climate Change Regime and Its Implications)

  • 김길환;이상림;이지웅
    • 한국기후변화학회지
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    • 제8권1호
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    • pp.73-80
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    • 2017
  • This study sees the past, present and future of the international carbon market. It is expected that it is not until 2020 and beyond before the international carbon market is settled by international consensus, and it is too early to picture the international carbon market at this point. Instead, this study focuses on analyzing the content of Article 6 of the Paris Convention, being fully aware of the uncertainties surrounding the international carbon market and can only be a step in determining the future of the international carbon market. In the future, the international negotiations will be under fierce competition of countries, each of which aims to make their advantageous system or mechanism recognized internationally Therefore, it is necessary for Korea to devise a system that can maximize the national interest and try to be recognized in the international society. To accomplish this, the following tasks are required at the present stage. First, we need to include the basic directions for the reduction using the international carbon market in the preparation of the roadmap for GHG reduction in Korea. Based on the directions presented in the roadmap for reducing GHG emissions, Korea should set up a government-wide plan on the international carbon market. In addition, a long-term TF should be formed to enact such plans in the international community. The international carbon market is an issue that several professional fields overlap, and it is indeed difficult to pursue by a single ministry. Therefore, it is necessary to create and strengthen the TF that can cope immediately with the international movement.

Antioxidant and Antifungal Activity of Endophytic Fungi Associated with Agarwood Trees

  • Hidayat, Asep;Turjaman, Maman;Faulina, Sarah Asih;Ridwan, Fadel;Aryanto, Aryanto;Najmulah, Najmulah;Irawadi, Tun Tedja;Iswanto, Apri Heri
    • Journal of the Korean Wood Science and Technology
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    • 제47권4호
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    • pp.459-471
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    • 2019
  • Several species of Aquilaria and Gyrinops are native to Indonesia and well known as agarwood-producing trees with a high economic value. Their bioactive compounds have a wide spectrum of uses, such as in medicine and cosmetics. These genera have undergone extensive search for novel bioactive compounds. The purpose of this study was to isolate, identify, and characterize the endophytic fungi community associated with Aquilaria malaccensis, A. microcarpa, Gyrinops versteegii, and A. crassna trees and investigate their bioactive properties as antioxidant agents and antagonists. A total of 50 fungi were successfully isolated from different tissues of the four species of agarwood-producing trees. Two isolates exhibited strong antioxidant activity, namely, Apodus oryzae (R2MC3A, $IC_{50}$ 60.92 mg/mL) and Diaporthe sp. (P1DS1[C], $IC_{50}$ 76.65 mg/mL). Two isolates, Pestalotiopsis theae (P3BS3[B]) and Curvularia sp. (P2CD3A), showed >75% antifungal activity against pathogenic Fusarium solani. The results revealed that endophytic fungi associated with the studied agarwood-producing trees had potential antioxidant and antifungal activities for further applications in biotechnology.

Evaporative Stress Index (ESI)를 활용한 북한의 위성영상기반 농업가뭄 평가 (Satellite-based Evaporative Stress Index (ESI) as an Indicator of Agricultural Drought in North Korea)

  • 이희진;남원호;윤동현;홍은미;김대의
    • 한국농공학회논문집
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    • 제61권3호
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    • pp.1-14
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    • 2019
  • North Korea has frequently suffered from extreme agricultural crop droughts, which have led to food shortages, according to the Food and Agriculture Organization (FAO). The increasing frequency of extreme droughts, due to global warming and climate change, has increased the importance of enhancing the national capacity for drought management. Historically, a meteorological drought index based on data collected from weather stations has been widely used. But it has limitations in terms of the distribution of weather stations and the spatial pattern of drought impacts. Satellite-based data can be obtained with the same accuracy and at regular intervals, and is useful for long-term change analysis and environmental monitoring and wide area access in time and space. The Evaporative Stress Index (ESI), a satellite-based drought index using the ratio of potential and actual evaporation, is being used to detect drought response as a index of the droughts occurring rapidly over short periods of time. It is more accurate and provides faster analysis of drought conditions compared to the Standardized Precipitation Index (SPI), and the Palmer Drought Severity Index (PDSI). In this study, we analyze drought events during 2015-2017 in North Korea using the ESI satellite-based drought index to determine drought response by comparing with it with the SPI and SPEI drought indices.

Mitigating TCP Incast Issue in Cloud Data Centres using Software-Defined Networking (SDN): A Survey

  • Shah, Zawar
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제12권11호
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    • pp.5179-5202
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    • 2018
  • Transmission Control Protocol (TCP) is the most widely used protocol in the cloud data centers today. However, cloud data centers using TCP experience many issues as TCP was designed based on the assumption that it would primarily be used in Wide Area Networks (WANs). One of the major issues with TCP in the cloud data centers is the Incast issue. This issue arises because of the many-to-one communication pattern that commonly exists in the modern cloud data centers. In many-to-one communication pattern, multiple senders simultaneously send data to a single receiver. This causes packet loss at the switch buffer which results in TCP throughput collapse that leads to high Flow Completion Time (FCT). Recently, Software-Defined Networking (SDN) has been used by many researchers to mitigate the Incast issue. In this paper, a detailed survey of various SDN based solutions to the Incast issue is carried out. In this survey, various SDN based solutions are classified into four categories i.e. TCP Receive Window based solutions, Tuning TCP Parameters based solutions, Quick Recovery based solutions and Application Layer based solutions. All the solutions are critically evaluated in terms of their principles, advantages, and shortcomings. Another important feature of this survey is to compare various SDN based solutions with respect to different performance metrics e.g. maximum number of concurrent senders supported, calculation of delay at the controller etc. These performance metrics are important for deployment of any SDN based solution in modern cloud data centers. In addition, future research directions are also discussed in this survey that can be explored to design and develop better SDN based solutions to the Incast issue.

On the Global and Local Environmental Dependence of Type Ia Supernova Luminosity from the Analysis of SALT2 and MLCS2k2 Light-Curve Fitters

  • Kim, Young-Lo;Lee, Young-Wook
    • 천문학회보
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    • 제44권1호
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    • pp.40.3-40.3
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    • 2019
  • There is growing evidence for the dependence of Type Ia supernova (SN Ia) luminosities on the environments. The origin of this correlation, however, is under debate. In order to explore the physical origin of the trend in detail, we analyze SN Ia light-curves by combining a sample of 1231 SNe Ia over a wide redshift range (0.01 < z < 1.37) in various SN surveys and employing two independent light-curve fitters of SALT2 and MLCS2k2. Although SALT2 is the most widely used fitter in the SN community, MLCS2k2 has a novelty in the context of an investigation of the luminosity evolution of SNe Ia. For this reason we use both fitters and analyze them separately. We also determine a stellar mass and a star formation rate (SFR) for a sample of ~600 host galaxies. In addition, because recent low-redshift studies suggest that this dependence manifests itself most strongly when using the local SFR at the SN location, we introduce a new method to infer the local environments by restricting the SN Ia sample in globally star-forming host galaxies to a low-mass host galaxy subset (${\leq}10^{10}M_{\odot}$). We find that SNe Ia in low-mass and star-forming host galaxies are fainter than those in high-mass and passive hosts, after light-curve corrections. Especially, for the first time in host studies, we show that SNe Ia in locally star-forming environments are $0.081{\pm}0.018$ mag fainter ($4.5{\sigma}$) than those in locally passive environments from the sample including SNe at the high-redshift range. Considering the significant difference in the mean stellar population age between these environments, the result would suggest that the origin of the environmental dependence is the luminosity evolution of SNe Ia.

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돌말류 분석 자료 정도 관리의 현황 및 전망 (Current Status and Prospects for the Data Quality Control in Terms of Diatom Analysis)

  • 김혜숙;김종성;박진순
    • 한국해양학회지:바다
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    • 제26권3호
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    • pp.238-247
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    • 2021
  • 돌말류는 미세조류의 일종으로서 담수 및 해양의 여러 다양한 환경의 수생태계에서 가장 중요한 1차 생산자 중 하나이다. 환경을 대표할 수 있는 생물 지표로서 널리 이용되고 있으며, 여러 지역에서 서로 다른 과학자들에 의한 연구 결과들이 과학적 통일성과 객관성을 갖추도록 하기 위해서는 돌말류 분석 자료의 정도 관리가 매우 중요하다. 현재 돌말류 분석은 형태적인 특징으로 분류하는 형태 기반의 분석과 DNA 서열로 종을 식별하는 DNA 바코드 분석이 사용되고 있다. 형태학 기반의 돌말류 분류는 분석 자료를 해석하는 분류학자들 간의 일관된 종 식별이 요구되는 한편 분자 분류 기반의 돌말류 분류는 신뢰성 있는 참조데이터가 필수적이다. 본 논문에서는 돌말류 분석 자료 정도관리의 국내외 현황을 우선 살펴보았으며, 그에 기반하여 국내 돌말류 분석 자료의 정도 관리에 대한 의견을 또한 제안하였다.

The Status of the Bring Your Own Device (BYOD) in Saudi Arabia: Dataset

  • Khalid A. Almarhabi;Adel A. Bahaddad;Ahmed M. Alghamdi
    • International Journal of Computer Science & Network Security
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    • 제23권2호
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    • pp.203-209
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    • 2023
  • The paper brings across data that is utilized in the Bring Your Own Device (BYOD) status collected between February and April of 2021 across Saudi Arabia. The data set was collected using questionnaires established through online mechanisms for the respondents. In the questionnaire, personal details included five questions while seven questions addressed the working model of personal mobile devices. Six questions addressed the awareness of employees bring your own device awareness for employees comprised seven questions and two questions addressed the benefits of business achievements. In the identification of suitable respondents for the research, two approaches were applied. The research demanded that the respondents be Saudi Arabian nationals and have attained 18 years. Snowball and purposive techniques were applied in the collection of information from a wide area of Saudi Arabia while employing social media approaches that include the use of WhatsApp and emails in the collection of data. The approach ensured the collection of data from 857 respondents used in the identification of the status as well as issues across the BYOD environment and accompanying solutions. The data was also used in the provision of awareness in the community through short-term courses, cyber security training and awareness programs. The results of the research are therefore applicable to the context of the Saudi Arabian country that is currently facing issues in dealing with the application of personal devices in the work environment.

단일 빔 음향 집게를 이용한 바이오메디컬 응용 연구 (Single beam acoustic tweezers for biomedical applications)

  • 임해균
    • 한국음향학회지
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    • 제42권5호
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    • pp.452-459
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    • 2023
  • 음파의 힘을 이용하는 음향집게는 나노 단위의 세포외소포에서 밀리미터 단위의 대규모 다세포생 물체까지 다양한 생체 입자를 조작하는 데 사용되는 매우 유용한 도구이다. 해당 분야는 수십년간 점진적인 개발이 이루어지고 있으며, 단일 초음파 빔을 사용하는 단일 빔 음향 집게(Single Beam Acoustic Tweezers, SBAT)기술 또한 세포 및 생물체 정밀 이동 및 분석이 가능한 플랫폼으로 발전했다. 최근 혁신적인 발전으로 SBAT를 이용하여 입자/세포 분리, 단일 세포 변형 기술이 개발되었으며 이로 인해 의공학 분야에서 학문적인 관심을 모으고 있다. 본 종설에서 SBAT기술의 기초 원리와 작동 방법에 대해서 설명하며 그간의 연구를 요약하고 이를 바탕으로 향후 연구에 대해서 전망한다.

Generating Radiology Reports via Multi-feature Optimization Transformer

  • Rui Wang;Rong Hua
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제17권10호
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    • pp.2768-2787
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    • 2023
  • As an important research direction of the application of computer science in the medical field, the automatic generation technology of radiology report has attracted wide attention in the academic community. Because the proportion of normal regions in radiology images is much larger than that of abnormal regions, words describing diseases are often masked by other words, resulting in significant feature loss during the calculation process, which affects the quality of generated reports. In addition, the huge difference between visual features and semantic features causes traditional multi-modal fusion method to fail to generate long narrative structures consisting of multiple sentences, which are required for medical reports. To address these challenges, we propose a multi-feature optimization Transformer (MFOT) for generating radiology reports. In detail, a multi-dimensional mapping attention (MDMA) module is designed to encode the visual grid features from different dimensions to reduce the loss of primary features in the encoding process; a feature pre-fusion (FP) module is constructed to enhance the interaction ability between multi-modal features, so as to generate a reasonably structured radiology report; a detail enhanced attention (DEA) module is proposed to enhance the extraction and utilization of key features and reduce the loss of key features. In conclusion, we evaluate the performance of our proposed model against prevailing mainstream models by utilizing widely-recognized radiology report datasets, namely IU X-Ray and MIMIC-CXR. The experimental outcomes demonstrate that our model achieves SOTA performance on both datasets, compared with the base model, the average improvement of six key indicators is 19.9% and 18.0% respectively. These findings substantiate the efficacy of our model in the domain of automated radiology report generation.

전지구 강수관측위성 기반 격자형 강우자료를 활용한 2022년 국내 가뭄 분석 (Quantifying the 2022 Extreme Drought Using Global Grid-Based Satellite Rainfall Products)

  • 문영식;남원호;전민기;이광야;도종원
    • 한국농공학회논문집
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    • 제66권4호
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    • pp.41-50
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    • 2024
  • Precipitation is an important component of the hydrological cycle and a key input parameter for many applications in hydrology, climatology, meteorology, and weather forecasting research. Grid-based satellite rainfall products with wide spatial coverage and easy accessibility are well recognized as a supplement to ground-based observations for various hydrological applications. The error properties of satellite rainfall products vary as a function of rainfall intensity, climate region, altitude, and land surface conditions. Therefore, this study aims to evaluate the commonly used new global grid-based satellite rainfall product, Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS), using data collected at different spatial and temporal scales. Additionally, in this study, grid-based CHIRPS satellite precipitation data were used to evaluate the 2022 extreme drought. CHIRPS provides high-resolution precipitation data at 5 km and offers reliable global data through the correction of ground-based observations. A frequency analysis was performed to determine the precipitation deficit in 2022. As a result of comparing droughts in 2015, 2017, and 2022, it was found that May 2022 had a drought frequency of more than 500 years. The 1-month SPI in May 2022 indicated a severe drought with an average value of -1.8, while the 3-month SPI showed a moderate drought with an average value of 0.6. The extreme drought experienced in South Korea in 2022 was evident in the 1-month SPI. Both CHIRPS precipitation data and observations from weather stations depicted similar trends. Based on these results, it is concluded that CHIRPS can be used as fundamental data for drought evaluation and monitoring in unmeasured areas of precipitation.