• Title/Summary/Keyword: 블루링

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Dispersal of potential habitat of non-native species tilapia(Oreochromis spp.) inhabiting rivers in Korea (국내 하천에 서식하는 외래종 틸라피아(tilapia)의 잠재적 서식처 확산)

  • Ju Hyoun Wang;Jung Soo Han;Jun Kil Choi;Hwang Goo Lee
    • Korean Journal of Environmental Biology
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    • v.41 no.2
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    • pp.101-108
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    • 2023
  • Recently, in relation to climate change, many studies have been conducted to predict the potential habitat area and distribution range of tilapia and the suitability of habitat for each species. Most tilapia are tropical fish that cannot survive at water temperatures below 10 to 12℃, although some tilapia can survive at 6 to 8℃. This study predicted habitable areas and the possibility of spreading of habitat ranges of tilapia (Oreochromis niloticus and Oreochromis aureus) known to inhabit domestic streams. Due to climate change, it was found that habitats in the Geum River, Mangyeong River, Dongjin River, Seomjin River, Taehwa River, Hyeongsan River, and the flowing in East Sea were possible by 2050. In addition, it was confirmed that tilapia could inhabit the preferred lentic ecosystem such as Tamjin Lake, Naju Lake, Juam Lake, Sangsa Lake, Jinyang Lake, Junam Reservoir, and Hoedong Reservoir. In particular, in the case of tilapia, which lives in tributaries of the Geumho River, Dalseo Stream, and the Nakdong River, its range of habitat is expected to expand to the middle and lower of the Nakdong River system. Therefore, it is judged that it is necessary to prepare physical and institutional management measures to prevent the spread of the local population where tilapia currently inhabits and to prevent introduction to new habitats.

Estimation of Habitat Suitability Index of Fish Inhabiting the Seomjin River using WDFW and IFASG Methods (WDFW 및 IFASG 방법으로 섬진강 서식 어류의 서식지적합도지수(HSI) 산정)

  • Lee, Jong Jin;Kong, Dong Soo;Hur, Jun Wook
    • Proceedings of the Korea Water Resources Association Conference
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    • 2022.05a
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    • pp.484-484
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    • 2022
  • 서식지적합도지수(Habitat Suitability Index, HSI)는 어류의 환경생태유량(Environmental Ecological Flow) 산정과 관련해 국내외에서 PHABSIM (Physical Habitat Simulation System)이나 River2D 모형과 같은 생태수리 모형에 적용되고 있으며, 특히 물리적서식지모의시스템은 흐름특성(유량유속, 수심 등)의 변화에 대한 하도구간 내 대표어종의 물리적 서식지 변화를 예측하여 대상 어종에 대한 가용서식지면적(어류가 살 수 있는 서식지 면적, Weighed Usable Area, WUA)유량 관계를 통해 서식에 필요한 최적 유량을 산정하는 데 목적이 있다. 물리적 서식지적합도지수 산정과 화학적 서식지적합도지수 산정방법은 WDFW (Washington Department of Fish and Wildlife, 2004)방법과 IFASG (Instream Flow and Aquatic Systems Group, 1986)의 방법으로 산정하였다. 섬진강에서 2020년에는 3개지점, 2021년에는 2020년 3개지점과 새로운 3개지점에 대하여 각각 4, 5, 6, 9, 10 및 11월에 어류 조사 및 물리적 조건 등에 대하여 현장 모니터링을 실시하였다. 2차년도 동안 모니터링 결과 섬진강에서는 줄납자루, 섬진자가사리, 참중고기, 참몰개, 잉어, 붕어, 칼납자루, 큰납지리, 누치, 모래무지, 피라미, 치리, 블루길, 배스 14종에 대하여 물리적 및 화학적 HSI를 산정하였다. 주요종의 WDFW 방법에 따른 큰줄납자루는 수심 0.3~0.6 m, 유속 0.1~0.4 m/s, 섬진자가사리는 수심 0.2~0.5 m, 유속 0.3~0.7 m/s, 참중고기는 수심 0.4~0.8 m, 유속 0.1~0.6 m/s, 피라미는 수심 0.3~0.7 m, 유속 0.1~0.5 m/s로 산정되었다. IFASG 방법으로 큰줄납자루는 섬진강에서는 수심 0.64 m에서 최대의 출현도를 보였으며, HSI는 0.46~0.83 m, 유속은 0.59 m/s에서 최대의 출현도를 보였고, HSI는 0.38~0.83 m/s, 하상기질의 선호도는 평균입경(𝚽m) -1.14(grevel)에서 최대의 출현도를 보였으며, HSI -3.35~0.65(grevel~sand)로 산정되었다. 화학적 HSI 산정결과 큰줄납자루는 BOD는 1.0 mg/L에서 최대 출현도를 보였고, HSI는 0.7~1.2 mg/L, T-N은 0.925 mg/L에서 최대 출현도를 보이며 HSI는 0.604~1.277 mg/L, T-P는 0.028 mg/L에서 최대 출현도를 보이며 HSI는 0.021~0.034 mg/L, SS는 3.6 mg/L에서 최대 출현도를 보이며, HSI는 2.1~5.2 mg/L의 범위로 산정되었다. 산정된 범위는 환경부 생활환경기준 BOD 매우좋음(Ia)~좋음(Ib), T-P 매우좋음(Ia)~좋음(Ib) 등급으로 각각 확인되었다. 본 과제는 3차년(2022년)이 아직 남아 있어 HSI에 대하여 약간 보정이 있을 것이며, 최종 HSI가 산정이 되면 향후 환경적 기능을 고려한 중장기 정부 정책의 활용성 높은 기초자료가 될 것이다.

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Impacts of Introduced Fishes (Carassius cuvieri, Micropterus salmoides, Lepomis macrochirus) on Stream Fish Communities in South Korea (외래어류가 우리나라 하천생태계 어류 군집에 미치는 영향: 떡붕어(Carassius cuvieri), 배스(Micropterus salmoides), 블루길(Lepomis macrochirus)을 대상으로)

  • Lee, Dae-Seong;Lee, Da-Yeong;Ji, Chang Woo;Kwak, Ihn-Sil;Hwang, Soon-Jin;Lee, Hae-Jin;Park, Young-Seuk
    • Korean Journal of Ecology and Environment
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    • v.53 no.3
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    • pp.241-254
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    • 2020
  • Three introduced fish species, Japanese white crucian carp (Carassius cuvieri Temminck and Schlegel, 1846), bass (Micropterus salmoides Lacepède, 1802) and bluegill (Lepomis macrochirus Rafinesque, 1819), are dominant fishes in Korean freshwater ecosystem. In this study, we analyzed habitat environment conditions of these three species and their impacts to fish communities in streams across South Korea. Fish community data were obtained from the database of the Stream/River Ecosystem Survey and Health Assessment program maintained by the Ministry of Environment and the National Institute of Environmental Research, Korea. Our results showed that species richness and Shannon diversity of fish were higher at the presence sites of introduced fish than at the absence sites. However, when the abundance of these introduced fish species was increased, the species richness and abundance of fish were decreased. An association analysis showed that the introduced fish species had a low similarity in their appearance with some indigenous fishes such as Siniperca scherzeri and Channa argus and some endemic fishes of Korea such as Zacco koreanus, Sarcocheilichthys variegatus wakiyae, and Acheilognathus yamatsutae. In addition, the introduced fish species had a low appearance similarity with a large number of fishes in their association networks. Finally, our results presented that these introduced fish species influenced the negative impacts to the stream fish communities, and they were potential risk factors for fish community in Korean freshwater ecosystem. Therefore, it is necessary that continuous monitoring and establishment of management strategy for introduced fish species to preserve fish resource and biodiversity in the Korean streams.

Analysis of News Agenda Using Text mining and Semantic Network Analysis: Focused on COVID-19 Emotions (텍스트 마이닝과 의미 네트워크 분석을 활용한 뉴스 의제 분석: 코로나 19 관련 감정을 중심으로)

  • Yoo, So-yeon;Lim, Gyoo-gun
    • Journal of Intelligence and Information Systems
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    • v.27 no.1
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    • pp.47-64
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    • 2021
  • The global spread of COVID-19 around the world has not only affected many parts of our daily life but also has a huge impact on many areas, including the economy and society. As the number of confirmed cases and deaths increases, medical staff and the public are said to be experiencing psychological problems such as anxiety, depression, and stress. The collective tragedy that accompanies the epidemic raises fear and anxiety, which is known to cause enormous disruptions to the behavior and psychological well-being of many. Long-term negative emotions can reduce people's immunity and destroy their physical balance, so it is essential to understand the psychological state of COVID-19. This study suggests a method of monitoring medial news reflecting current days which requires striving not only for physical but also for psychological quarantine in the prolonged COVID-19 situation. Moreover, it is presented how an easier method of analyzing social media networks applies to those cases. The aim of this study is to assist health policymakers in fast and complex decision-making processes. News plays a major role in setting the policy agenda. Among various major media, news headlines are considered important in the field of communication science as a summary of the core content that the media wants to convey to the audiences who read it. News data used in this study was easily collected using "Bigkinds" that is created by integrating big data technology. With the collected news data, keywords were classified through text mining, and the relationship between words was visualized through semantic network analysis between keywords. Using the KrKwic program, a Korean semantic network analysis tool, text mining was performed and the frequency of words was calculated to easily identify keywords. The frequency of words appearing in keywords of articles related to COVID-19 emotions was checked and visualized in word cloud 'China', 'anxiety', 'situation', 'mind', 'social', and 'health' appeared high in relation to the emotions of COVID-19. In addition, UCINET, a specialized social network analysis program, was used to analyze connection centrality and cluster analysis, and a method of visualizing a graph using Net Draw was performed. As a result of analyzing the connection centrality between each data, it was found that the most central keywords in the keyword-centric network were 'psychology', 'COVID-19', 'blue', and 'anxiety'. The network of frequency of co-occurrence among the keywords appearing in the headlines of the news was visualized as a graph. The thickness of the line on the graph is proportional to the frequency of co-occurrence, and if the frequency of two words appearing at the same time is high, it is indicated by a thick line. It can be seen that the 'COVID-blue' pair is displayed in the boldest, and the 'COVID-emotion' and 'COVID-anxiety' pairs are displayed with a relatively thick line. 'Blue' related to COVID-19 is a word that means depression, and it was confirmed that COVID-19 and depression are keywords that should be of interest now. The research methodology used in this study has the convenience of being able to quickly measure social phenomena and changes while reducing costs. In this study, by analyzing news headlines, we were able to identify people's feelings and perceptions on issues related to COVID-19 depression, and identify the main agendas to be analyzed by deriving important keywords. By presenting and visualizing the subject and important keywords related to the COVID-19 emotion at a time, medical policy managers will be able to be provided a variety of perspectives when identifying and researching the regarding phenomenon. It is expected that it can help to use it as basic data for support, treatment and service development for psychological quarantine issues related to COVID-19.

Study for Chronic Diseases Patients Management System using Zigbee of based WPAN (WPAN 기반의 Zigbee를 이용한 만성질환 환자 관리 시스템에 관한 연구)

  • Park, Hung-Bog;Seo, Jung-Hee
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.15 no.4
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    • pp.965-972
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    • 2011
  • As an aged population has increased in Korea, the number of patients with chronic disease has soared up as well. The rapid increase of the chronic disease triggers a need of new paradigm of healthcare. In terms of data transmission of healthcare system, a use of data-transmission protocol based on bluetooth could be dismal in application of healthcare due to its postponement of connection. On the contrary, WPAN is evaluated to be proper to support the application of healthcare in restricted geographic areas. In addition, the bluetooth, a base of the current wireless network, doesn't support a special mechanism to cope up with emergent patients because of its delayed connection among devices. Against this backdrop, this study aims to design an integrated interface of multi bio-sensing and suggest a measuring and monitering system for the patients with chronic illnesses by using Zigbee of WPAN as a sufficient bandwidth is anticipated owing to frequent deliveries of complicated biological signals.

Development of a Rapid Assay for Peach Rosette Mosaic Virus Using Loop-mediated Isothermal Amplification (Peach rosette mosaic virus 검출을 위한 신속한 등온증폭법 개발)

  • Lee, Siwon;Lee, Jin-Young;Kim, Jin-Ho;Rho, Jae-Young
    • Microbiology and Biotechnology Letters
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    • v.44 no.4
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    • pp.493-496
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    • 2016
  • Peach rosette mosaic virus (PRMV) is a plant virus that was first reported in 1933 by Peach. It can infect hosts including peach, grape, blueberry, dandelion, plum, cherry tree, and weeds. PRMV is non-reportable in Korea, but it is designated as a controlled virus requiring plant quarantine. In this study, for the rapid and specific detection of PRMV, we developed an assay using loop-mediated isothermal amplification (LAMP). Comparison between conventional polymerase chain reaction (PCR) methods (real time-PCR and nested PCR) and LAMP for the detection of PRMV revealed an equivalent level of sensitivity by all the tested methods. For the LAMP assay, outer primer sets were used to amplify a 264-bp PCR product, which was then digested using the restriction enzyme Pvu II (CAG/CTG), and the visualization of two digestion fragments (207 + 57 bp) indicated a positive reaction. The developed LAMP assay for PRMV is expected to enable the rapid monitoring of PRMV in plants.

The Development of the Medical Information's Transmission System Using the Bluetooth (블루투스 통신을 이용한 의료정보 전송 시스템의 개발)

  • Hong, Seung-Beom;Jie, Min-Seok
    • Journal of Advanced Navigation Technology
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    • v.13 no.5
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    • pp.787-792
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    • 2009
  • A number of very promising applications such as health monitoring and U-Health of ubiquitous techniques has attracted interest in recent years. Because it can observes the condition of patient from long distance using the equipment which combines with radio communication and medical monitoring system. If it is at emergency situation, it can disposes the condition of the patient. In this paper, we propose the new data format and the transmission communication system of combination medical information with the bluetooth. And we produce the on-board system which transmits the medical information. This system integrated the blood pressure and glucose monitor of personal medical equipment, and the medical information which obtained from on-board system acquires through the gateway with the bluetooth. Medical information is transmitted to the tele-monitor server by the wireline network. We evaluated the proposed system under the laboratory environment and confirmed the excellent performance of transmission of the medical information.

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Geovisualization of Coastal Ocean Model Data Using Web Services and Smartphone Apps (웹서비스와 스마트폰앱을 이용한 연안해양모델 예측자료의 시각화시스템 구현)

  • Kim, Hyung-Woo;Koo, Bon-Ho;Woo, Seung-Buhm;Lee, Ho-Sang;Lee, Yang-Won
    • Spatial Information Research
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    • v.22 no.2
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    • pp.63-71
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    • 2014
  • Ocean leisure sports have recently emerged as one of so-called blue ocean industries. They are sensitive to diverse environmental conditions such as current, temperature, and salinity, which can increase needs of forecasting data as well as in-situ observations for the ocean. In this context, a Web-based geovisualization system for coastal information produced by model forecasts was implemented for use in supporting various ocean activities. First, FVCOM(Finite Volume Coastal Ocean Model) was selected as a forecasting model, and its data was preprocessed by a spatial interpolation and sampling library. The interpolated raster data for water surface elevation, temperature, and salinity were stored in image files, and the vector data for currents including speed and direction were imported into a distributed DBMS(Database Management System). Web services in REST(Representational State Transfer) API(Application Programming Interface) were composed using Spring Framework and integrated with desktop and mobile applications developed on the basis of hybrid structure, which can realize a cross-platform environment for geovisualization.

Design of a Whitening Block Module for Minimizing DC Bias in Wireless Communications (무선 통신에서 DC 바이어스를 최소화하는 화이트닝 블록 설계)

  • Moon, San-Gook
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2008.10a
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    • pp.673-676
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    • 2008
  • In wireless communications such as Bluetooth, Baseband should be able to minimize the DC bias of the data which passed the modem interface of either transmitter or receiver for the reliability of the circuit and the integrity of the data. The transmitter scrambles the data to send randomly to the error correction block and the receiver recovers the randomly spread data as they have been. To design the whitening block, it is important to select the prime polynomial for the filtering. In this paper, we designed a optimal whitening block using the prime polynomial $g(D)=D^7+D^4+1$ for hardware and area efficiency. The proposed hardware whitening block was described and verified using Verilog HDL and later to be automatically synthesized. The synthesized whitening block operated at 40Mhz normal clock speed of the target baseband microcontroller.

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The implementation of remote IPMC control system using android smartphone (안드로이드 스마트폰 기반의 원격 IPMC 제어시스템 구현)

  • Kim, Gwan-Hyung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.17 no.3
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    • pp.533-539
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    • 2013
  • Recently, Ionic Polymer Metal Composite (IPMC) systems receive great attention in the fields of the medical and biomedical Engineering because of several merits in terms of new actuators and sensors and fuel cell materials. When the voltage is excited to IPMC system, it moves. Conversely, if there are any movement on the IPMC, the IPMC has charge voltage by the internal properties. Therefore the IPMC can be used as a motion sensor or force sensor. In this paper, we identify characteristics of the IPMC and control its movements from remote locations by the smart-phone system based on visual information for monitoring. Additionally, control of movements of the IPMC is realized by transmit motion commands using the smart-phone system with the blue-tooth communication. Unfortunately, there are some deficiencies to perfectly attain physical properties of the IPMC systems from our experiments in this paper. However, in its utilization point of view, we demonstrate that the IPMC has some potentials as new sensors, actuators, and fuel cells.