• Title/Summary/Keyword: D2D Data Dissemination

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Analysis of Small Cell Technology Application for Performance Improvement in Simulation-based 5G Communication Environment (시뮬레이션 기반 5G 통신 환경에서 성능향상을 위한 스몰셀 기술 적용 분석)

  • Kim, Yoon Hwan;Kim, Tae Yeun;Lee, Dae Young;Bae, Sang Hyun
    • Smart Media Journal
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    • v.9 no.2
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    • pp.16-21
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    • 2020
  • Recently, mobile traffic is increasing exponentially as major traffic is transferred to IoT and visual media data in the dissemination of mobile communication terminals and contents use. In order to overcome the limitations of the existing LTE system, 5G mobile communication technology (5G) is a technology that meets 1000 times data traffic capacity, 4G LTE system acceptance, low latency, high energy efficiency, and high cost compared to 4G LTE system. The path loss due to the use of the frequency domain is very high, so it may be difficult to provide a service compared to the existing 4G LTE system. To overcome these shortcomings, various techniques are under study. In this paper, small cell technology is introduced to improve the system performance of 5G mobile communication systems. The performance is analyzed by comparing the results of small cell technology application, macro communication and small cell communication, and the results of the proposed algorithm application for power control. The analysis results show that the use of small cell technology in the 5th generation mobile communication system can significantly reduce the shadow area and reduce the millimeter wave path loss problem.

Immigration Plant Characteristics of Seoullo 7017, as Artificial Foundation Greening Area, after completion 1 year (인공지반녹화지역인 서울로 7017 개원후 1년간의 이입식물 특성)

  • Cha, Doo-Won;Choi, Dong-Suk;Song, Jong-Won;Choe, Ji-Won;Oh, Choong-Hyeon
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.23 no.1
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    • pp.15-36
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    • 2020
  • The purpose of this study is to provide basic data for the establishment of the management plan of Seoullo 7017 after analyzing the characteristics of immigration plants in addition to those introduced plants. The taxa number of plants appeared as 276 taxa including 82 families, 161 genera, 246 species, 1 subspecies, 22 varieties and 7 forms. Among them, immigration plants appeared 79 classification groups, including 32 families, 65 genera, 77 species and 2 varieties. Invasive alien plants appeared as 22 classification groups in 79 classification groups of immigration plants. The ratio of America origin plants, second period(1932~1960) in introduction time and the wide diffusion species is high. In June, the growth and occurrence time of the immigration plants was the highest by monthly the characteristics of the growth of the immigration plants, the immigration plants appeared mostly. In case of dormancy form among life-form, the therophytes(th), in the propagation form-radicoid form, the R5(monophyte), in the propagation form-disseminule form, the gravity D4(having no special modification for dissemination), and in the growth form, the erect form(e) was high. The various immigration plants appeared in green areas covered by Zoysia japonica and low Hedera helix densities. This study is the first flora study since Seoullo 7017 was opened in 2017. And so continuous flora monitoring is required for Seoullo 7017.

Investigation of Soil Contamination of Some Major Roadsides in Seoul -II. Major Roadsides in Gangdong-, Gwangjin-, Nowon-, Seodaemun- and Seongdong-gu- (서울시 주요 도로변 토양오염 조사 -II.강동구, 광진구, 노원구, 서대문구, 성동구 내 주요 도로변 토양-)

  • Kim, Kwon-Rae;Lee, Hyun-Haeng;Jung, Chang-Wook;Kang, Ji-Young;Park, Soon-Nam;Kim, Kye-Hoon
    • Applied Biological Chemistry
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    • v.45 no.2
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    • pp.92-96
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    • 2002
  • Present contamination levels of soils along the major roadsides of Seoul, Korea were investigated, and base-line data were accumulated for future use. Topsoil $(1{\sim}5$ cm) and subsoil $(20{\sim}50$ cm) from five districts (Gangdong-, Gwangjin-, Nowon-, Seodaemun- and Seongdong-gu) were sampled. The collected samples were airdried, passed through 2-mm sieves, and analyzed to determine the physicochemical properties including pH, EC, CEC, exchangeable cations (Ca, Mg, K, and Na), and heavy metal contents (Cd, Cu, Pb, and Zn). Soil textures of topsoils and subsoils were mainly loamy sand and sandy loam, respectively. The range of pH was $4.5{\sim}10$.0 with an average of 7.5 for both topsoil and subsoil, which is much higher than that of the forest soils in Seoul. The ranges of 0.1 N HCI extractable Cd, Cu, Pb, and Zn contents for both topsoils and subsoils were $0.0l{\sim}l.19$, N.D. (not $detected){\sim}228$.99, $N.D.{\sim}352$.54, and $2.97{\sim}332$.96 mg $kg^{-1}$, respectively. Most of the average heavy metal contents were lower than the concern level of the Soil Environment Conservation Act of Korea, but were much higher than those of the , forest soils in Seoul. Some sites were higher in heavy metal contents than the concern levels; in particular, the average Cu content in Seongdong-gu was much higher than the concern level, 50 mg $kg^{-1}$. Careful management of the soil to prevent the aggravation of the present contamination level and the dissemination of contamination is highly recommended.

Structural Analysis of Class I Integron Gene Cassette and Assessment of Genetic Relationships by PFGE of Salmonella enterica Serovar Typhimurium Isolated in Gyeongbuk Area (경북지역에서 분리된 Salmonella enterica Serovar Typhimurium의 Class I Integron Gene Cassette 특성과 PEGE 유형분석)

  • Sohn, Chang-Kyu;Lee, Jung-A;Lee, Do-Young;Hun, Wan;Jung, Jung-Kyo
    • Korean Journal of Microbiology
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    • v.42 no.1
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    • pp.12-18
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    • 2006
  • Thirty five Salmonella enterica serovar Typhimurium strains were isolated from diarrheic patients and pigs in Gyeongbuk area from 2003 to 2004. All 35 strains (17 strains from diarrheic patients and 18 from pigs) were resistant to more than one drug and most of strains isolated from pigs were resistant to ampicillin, ohloram-phenicol, streptomycin, sulfamethoxazole-trimethoprime, tetracyclin and nalidixic acid. Each isolate was also screened or the presence of class I, II and III integron gene cassettes. Among 35 strains,3 out of 17 strains isolated from diarrheic patients, carried dhfrX-orfF-aadA2 integron gene cassette and among 18 strains isolated from diseased pigs, 11 strains carried dhfrX-orfF-aadA2 integron gene cassette and 1 strain carried aadA2 integron only. But any class II and class II integron gene cassette were not detected in 35 strains. Thirty five strains were divided by five pulsotypes. Thirty one strains out of thirty five were pulsotype A. Among the remaining 4 strains, one each strain belonged to pulsotype B, C, D and pulsotype E. This data of pulsotypes showed that the widespread of pulsotype A, Salmonella enterica serovar Typhimurium in human and pigs in Gyeongbuk area may have been caused by the dissemination of a few epidemic strains in this area. Thirteen strains contain dhfrX-orfF-aadA2 integron gene cassette showed pulsotype A and one strain contains dhfrX-orfF-aadA2 integron gene cassette showed pulsotype B. One strain contains aadA2 integron showed pulsotype E. But fifteen strains do not contain any integron showed pulsotype A.

Traffic Congestion Estimation by Adopting Recurrent Neural Network (순환인공신경망(RNN)을 이용한 대도시 도심부 교통혼잡 예측)

  • Jung, Hee jin;Yoon, Jin su;Bae, Sang hoon
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.16 no.6
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    • pp.67-78
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    • 2017
  • Traffic congestion cost is increasing annually. Specifically congestion caused by the CDB traffic contains more than a half of the total congestion cost. Recent advancement in the field of Big Data, AI paved the way to industry revolution 4.0. And, these new technologies creates tremendous changes in the traffic information dissemination. Eventually, accurate and timely traffic information will give a positive impact on decreasing traffic congestion cost. This study, therefore, focused on developing both recurrent and non-recurrent congestion prediction models on urban roads by adopting Recurrent Neural Network(RNN), a tribe in machine learning. Two hidden layers with scaled conjugate gradient backpropagation algorithm were selected, and tested. Result of the analysis driven the authors to 25 meaningful links out of 33 total links that have appropriate mean square errors. Authors concluded that RNN model is a feasible model to predict congestion.