• Title/Summary/Keyword: Seoul Station

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A Minimum Data-Rate Guaranteed Resource Allocation With Low Signaling Overhead in Multi-Cell OFDMA Systems

  • Kwon, Ho-Joong;Lee, Won-Ick;Lee, Byeong-Gi
    • Journal of Communications and Networks
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    • v.11 no.1
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    • pp.26-35
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    • 2009
  • In this paper, we investigate how to do resource allocation to guarantee a minimum user data rate at low signaling overhead in multi-cell orthogonal frequency division multiple access (OFDMA) wireless systems. We devise dynamic resource allocation (DRA) algorithms that can minimize the QoS violation ratio (i.e., the ratio of the number of users who fail to get the requested data rate to the total number of users in the overall network). We assume an OFDMA system that allows dynamic control of frequency reuse factor (FRF) of each sub-carrier. The proposed DRA algorithms determine the FRFs of the sub-carriers and allocate them to the users adaptively based on inter-cell interference and load distribution. In order to reduce the signaling overhead, we adopt a hierarchical resource allocation architecture which divides the resource allocation decision into the inter-cell coordinator (ICC) and the base station (BS) levels. We limit the information available at the ICC only to the load of each cell, that is, the total number of sub-carriers required for supporting the data rate requirement of all the users. We then present the DRA with limited coordination (DRA-LC) algorithm where the ICC performs load-adaptive inter-cell resource allocation with the limited information while the BS performs intra-cell resource allocation with full information about its own cell. For performance comparison, we design a centralized algorithm called DRA with full coordination (DRA-FC). Simulation results reveal that the DRA-LC algorithm can perform close to the DRA-FC algorithm at very low signaling overhead. In addition, it turns out to improve the QoS performance of the cell-boundary users, and achieve a better fairness among neighboring cells under non-uniform load distribution.

Identification of Seed-borne Penicillium spp. on Gramineae Crops Based on Morphological Characteristics (형태적 특성에 의한 벼과작물 종자전염 Penicillium spp.의 동정)

  • Kim, Min-Kyung;Hyun, Ik-Hwa;Kim, Jin-Won
    • The Korean Journal of Mycology
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    • v.33 no.2
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    • pp.81-85
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    • 2005
  • A total of 81 isolates of Penicillium were isolated from postharvest seeds of barely, Job's-tears, maize, sorghum and rice from 1997 to 2003. Based on the morphological characteristics, they were identified as P. chrysogenum, P. citrinum, P. cyclopium, P. oxalicum, P. polonicum, P. purpurogenum and P. viridicatum. P. chrysogenum was detected from Job's-tears, rice and sorghum seeds, P. citrinum from maize seeds, P. cyclopium from sorghum seeds, P. oxalicum from barely, maize, sorghum and rice seeds, P. purpurgenum from maize, rice, sorghum seeds, P. viridicatum from Job's-tears, maize and rice seeds, P. polonicum from Job's-tears, maize, rice and sorghum seeds. Among these species, P. cyclopium, P. polonicum and P. purpurogenum were first reported in Korea. Especially, about 50% of the Penicillium isolates detected from the seeds were P. polonicum. Identification of the Penicillium species using morphological characteristics was difficult especially for the species belonging to the subgenus Penicillium such as P. polonicum.

Analysis on the Variability of Rainfall at the Seoul Station during Summer Season Using the Variability of Parameters of a Stochastic Rainfall Generation Model (추계학적 강우모형의 매개변수 변동을 통한 서울지역 여름철 강우 변동특성 분석)

  • Cho, Hyungon;Kim, Gwangseob;Yi, Jaeeung
    • Journal of Korea Water Resources Association
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    • v.47 no.8
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    • pp.693-701
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    • 2014
  • In this study a stochastic rainfall generation model is used to analyze the structural variability of rainfall events since it has limitations in the traditional approach of measuring rainfall variability according to different durations. The NSRPM(Neyman-Scott Rectangular Pulse Model) is a stochastic rainfall generation model using a point process with 5 model parameters which is widely used in hydrologic fields. The five model parameters have physical meaning associated with rainfall events. The model parameters were estimated using hourly rainfall data from 1973 to 2011 at Seoul stations. The variability of model parameter estimates was analyzed and compared with results of traditional analysis.

Field Application Analysis of Center Control Emergency Vehicle Preemption System (중앙제어방식 긴급자동차 우선신호 현장적용성 분석)

  • Lee, Young-Hyun;Han, Seung-Chun;Jeong, Do-Young;Kang, Jin-Dong
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.18 no.6
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    • pp.137-154
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    • 2019
  • This study analysed the center control emergency vehicle preemption[EVP] test result on the 1.782 km section around Gangbuk Fire Station. The pros and cons between center control and site control EVP was compared through the review of existing research. The test site was selected based on the higher link speed for choosing low congested area and 4 to 6 lane road. EVP operates green extension under the estimated arrival time to each intersection. This study is about EVP system field application and its evaluation by analyzing EVP operation result with the emergency vehicle's trace, GPS data. The impact on the surrounding traffic was analysed in delay from the queue length survey. Analysis showed the decrease in averge travel time 41.81%, but the increase in delay of surrounding traffic slightly. It is expected that EVP can be applied to the expanded area by researching EVP compensation scheme.

Validation of an Anthracnose Forecaster to Schedule Fungicide Spraying for Pepper

  • Ahn, Mun-Il;Kang, Wee-Soo;Park, Eun-Woo;Yun, Sung-Chul
    • The Plant Pathology Journal
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    • v.24 no.1
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    • pp.46-51
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    • 2008
  • With the goal of achieving better integrated pest management for hot pepper, a disease-forecasting system was compared to a conventional disease-control method. Experimental field plots were established at Asan, Chungnam, in 2005 to 2006, and hourly temperature and leaf wetness were measured and used as model inputs. One treatment group received applications of a protective fungicide, dithianon, every 7 days, whereas another received a curative fungicide, dimethomorph, when the model-determined infection risk (IR) exceeded a value of 3. In the unsprayed plot, fruits showed 18.9% (2005) and 14.0% (2006) anthracnose infection. Fruits sprayed with dithianon at 7-day intervals had 4.7% (2005) and 15.4% (2006) infection. The receiving model-advised sprays of dimethomorph had 9.4% (2005) and 10.9% (2006) anthracnose infection. Differences in the anthracnose levels between the conventional and model-advised treatments were not statistically significant. The efficacy of 10 (2005) and 8 (2006) applications of calendar-based sprays was same as that of three (2005 and 2006) sprays based on the disease-forecast system. In addition, we found much higher the IRs with the leaf wetness sensor from the field plots comparing without leaf wetness sensor from the weather station at Asan within 10km away. Since the wetness-periods were critical to forecast anthracnose in the model, the measurement of wetness-period in commercial fields must be refined to improve the anthracnose-forecast model.

A Study for Applied In the Transfer of Train Information using RTD System (열차종합제어장치 정보전송시 RTD시스템을 적용한 사례 연구)

  • Shin, Han-Chul;Kim, Jung-Hyun;Kim, Sang-Hoon
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2011.01a
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    • pp.109-110
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    • 2011
  • Because contemporary rolling stock system is complex and highly advanced, and it builds mutual interface, it is necessary to manage maintenance of rolling stock systematically. This study present a case, which shows how to adopt and apply RTD(Remote Transmission Device) integrated to train information collection device. After the train service is complete and the train enters the main subway station, various kinds of information collected from TCMS(Train Control Monitoring System) is transmitted to train depot information collection device through RTD. This study suggests that RTD integrated to train information collection device helps build an effective rolling stock maintenance system by improving reliability of data transmission and cutting maintenance costs.

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Complete Genome Sequences of the Genomic RNA of Soybean mosaic virus Strains G7B and G5

  • Kim, Kook-Hyung;Lim, Won-Seok;Kim, Yul-Ho
    • The Plant Pathology Journal
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    • v.19 no.3
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    • pp.171-176
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    • 2003
  • The complete nucleotide sequences of the genomic RNAs of Soybean mosaic virus strains GS (SMV-G5) and G7H (SMV-G7H) were determined and compared with sequences of other SMV strains. Each viral RNA was determined to be 9588 nucleotides in length excluding the poly (A) tail and contained an open reading frame to encode a polyprotein subsequently processed into up to ten proteins by proteolytic cleavage. Com-parison of the amino acid sequences with those of other SMV strains showed high percentage of amino acid sequence homology with the same genome organization. The nucleotide and the deduced amino acid sequences between SMV-G5 and SMV-G7H were greater than 99% identity. When compared with those of other SMV strains in a phylogenetic analysis of the nucleotide and deduced amino acid sequences, they formed a distinct virus clade showing over 97% amino acid identity, but were more distantly related to the other potyvirus (44.1-69.6% identity). Interestingly, SMV G7H strain caused a severe mosaic or necrosis symptom in soybean cultivars including Jinpum-1, Jinpum-2, and Sodam, whereas, no symptom was observed in SMV-G5 inoculation. Complete nucleotide sequences of these strains will give clues for determining symptom determinant(s) in future research.

Effect of Sample Preparation on Prediction of Fermentation Quality of Maize Silages by Near Infrared Reflectance Spectroscopy

  • Park, H.S.;Lee, J.K.;Fike, J.H.;Kim, D.A.;Ko, M.S.;Ha, Jong Kyu
    • Asian-Australasian Journal of Animal Sciences
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    • v.18 no.5
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    • pp.643-648
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    • 2005
  • Near infrared reflectance spectroscopy (NIRS) has become increasingly used as a rapid, accurate method of evaluating some chemical constituents in cereal grains and forages. If samples could be analyzed without drying and grinding, then sample preparation time and costs may be reduced. This study was conducted to develop robust NIRS equations to predict fermentation quality of corn (Zea mays) silage and to select acceptable sample preparation methods for prediction of fermentation products in corn silage by NIRS. Prior to analysis, samples (n = 112) were either oven-dried and ground (OD), frozen in liquid nitrogen and ground (LN) and intact fresh (IF). Samples were scanned from 400 to 2,500 nm with an NIRS 6,500 monochromator. The samples were divided into calibration and validation sets. The spectral data were regressed on a range of dry matter (DM), pH and short chain organic acids using modified multivariate partial least squares (MPLS) analysis that used first and second order derivatives. All chemical analyses were conducted with fresh samples. From these treatments, calibration equations were developed successfully for concentrations of all constituents except butyric acid. Prediction accuracy, represented by standard error of prediction (SEP) and $R^2_{v}$ (variance accounted for in validation set), was slightly better with the LN treatment ($R^2$ 0.75-0.90) than for OD ($R^2$ 0.43-0.81) or IF ($R^2$ 0.62-0.79) treatments. Fermentation characteristics could be successfully predicted by NIRS analysis either with dry or fresh silage. Although statistical results for the OD and IF treatments were the lower than those of LN treatment, intact fresh (IF) treatment may be acceptable when processing is costly or when possible component alterations are expected.

Path Loss Characteristics of TETRA-based KTX Train Radio Propagation (TETRA 기반 고속철도 열차무선의 전파 경로손실 특성)

  • Bae, Sung-Ho;Choi, Kyu-Hyoung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.6
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    • pp.2985-2991
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    • 2013
  • Train radio system has been constructed in the second stage of Kyung-bu high speed railway adopting TETRA(Terrestial trunk radio) standard at 851MHz frequency band. The base stations of the train radio system should be located along railway track to ensure seamless communication between train and wayside taking the path loss of train radio propagation into consideration. This paper provides a quantitative analysis of the path loss characteristics based on the measurement results of the train radio propagation along the high speed railway. The free space propagation model and Okumura-Hata model are generally used for base station design, but they predicted 10dB lower or 20dB higher than the measured path loss. Linear regression of the field measured data by applying the log-distance model shows path loss exponent is in the 2.8-3.2 range, which can be used to predict the path loss of the train radio propagation.

The assessment of the Spatial Variation of the Wind Field using the Meso-velocity Scale and its Contributing Factors (중간 속도 규모를 이용한 바람장의 균질성 평가 및 영향요소 분석)

  • Lee, Seong-Eun;Shin, Sun-Hee;Ha, Kyung-Ja
    • Atmosphere
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    • v.20 no.3
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    • pp.343-353
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    • 2010
  • A regional wind network with complex surface conditions must be designed with sufficient space and time resolution to resolve the local circulations. In this study, the spatial variations of the wind field observed in the Seoul and Jeju regional networks were evaluated in terms of annual, seasons, and months to assess the spatial homogeneity of wind fields within the regional networks. The coherency of the wind field as a function of separation distance between stations indicated that significant coherency was sometimes not captured by the network, as inferred by low correlations between adjacent stations. A meso-velocity scale was defined in terms of the spatial variability of the wind within the network. This problem is predictably most significant with weak winds, dull prevailing wind, clear skies and significant topography. The relatively small correlations between stations imply that the wind at a given point cannot be estimated by interpolating winds from the nearest stations. For the Seoul and Jeju regional network, the meso-velocity scale has typically a same order of magnitude as the speed of the network averaged wind, revealing the large spatial variability of the Jeju network station imply topography and weather. Significant scatter in the relationship between spatial variability of the wind field and the wind speed is thought to be related to thermally-generated flows. The magnitude of the mesovelocity scale was significantly different along separation distance between stations, wind speed, intensity of prevailing wind, clear and cloudy conditions, topography. Resultant wind vectors indicate much different flow patterns along condition of contributing factors. As a result, the careful considerations on contributing factors such as prevailing wind in season, weather, and complex surface conditions with topography and land/sea contrast are required to assess the spatial variations of wind field on a regional network. The results in the spatial variation from the mesovelocity scale are useful to represent the characteristics of regional wind speed including lower surface conditions over the grid scale of large scale atmospheric model.