• Title/Summary/Keyword: S1009A

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Performance Evaluation of Semi-Persistent Scheduling in a Narrowband LTE System for Internet of Things (사물인터넷을 위한 협대역 LTE 시스템에서의 준지속적 스케줄링의 성능 평가)

  • Kim, Sunkyung;Cha, Wonjung;So, Jaewoo;Na, Minsoo;Choi, Changsoon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.41 no.9
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    • pp.1001-1009
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    • 2016
  • In LTE networks, the base station transmits control information over the physical downlink control channel (PDCCH) including scheduling grants, which are used to indicate the resources that the user equipment uses to send data to the base station. Because the size of the PDCCH message and the number of the PDCCH transmissions increase in proportion to the number of user equipments, the overhead of the PDCCH may cause serious network congestion problems in the narrowband LTE (NB-LTE) system. This paper proposes the compact PDCCH information bit allocation to reduce the size of the PDCCH message and evaluates the performance of the semi-persistent scheduling (SPS) in the NB-LTE system. The simulation results show that the SPS can significantly reduce the signaling overhead of the PDCCH and therefore increase the system utilization.

Effects of Replacement Sodium Chloride on the Quality Characteristices of Emulsion-type Sausages (대체염 첨가가 유화형 소시지의 품질특성에 미치는 영향)

  • Lee, J.R.;Kwack, S.C.;Jung, J.D.;Hah, Y.J.;Park, K.H.;Cho, H.S.;Sung, N.J.;Park, G.B.
    • Journal of Animal Science and Technology
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    • v.47 no.6
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    • pp.1009-1016
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    • 2005
  • This study was carried out to investigate the effects of substituting NaCl by sodium citrate, potassium lactate and calcium ascorbate (40%) on the quality characteristics of emulsion-type sausages. The pH of emulsion-type sausage of the substitution NaCl with sodium citrate were higher than those of control and the other(P<0.05). The CIE L* value emulsion-type sausage of the substitution NaCl with sodium citrate were higher than those of control and the other(P<0.05). The CIE a* value emulsion-type sausage of the substitution NaCl with potassium lactate were higher than those of control and the other, but CIE b* value were lower(P<0.05). The hardness and gumminess of emulsion-type sausage of the substitution NaCl with sodium citrate were higher than those of control and the other. The Na content of emulsion-type sausage of substitution NaCl with calcium ascorbate were lower than those of control and the other, but Ca content were higher(P<0.05). The K and Fe content of emulsion-type sausage of the substitution NaCl with potassium lactate were higher than those of control and the other(P<0.05). The saltiness of emulsion-type sausage of the substitution NaCl with sodium citrate were higher than those of control and the other(P<0.05). The flavor of emulsion-type sausage of the substitution NaCl with calcium ascorbate were higher than those of control(P<0.05).

A Study on Classifying Sea Ice of the Summer Arctic Ocean Using Sentinel-1 A/B SAR Data and Deep Learning Models (Sentinel-1 A/B 위성 SAR 자료와 딥러닝 모델을 이용한 여름철 북극해 해빙 분류 연구)

  • Jeon, Hyungyun;Kim, Junwoo;Vadivel, Suresh Krishnan Palanisamy;Kim, Duk-jin
    • Korean Journal of Remote Sensing
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    • v.35 no.6_1
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    • pp.999-1009
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    • 2019
  • The importance of high-resolution sea ice maps of the Arctic Ocean is increasing due to the possibility of pioneering North Pole Routes and the necessity of precise climate prediction models. In this study,sea ice classification algorithms for two deep learning models were examined using Sentinel-1 A/B SAR data to generate high-resolution sea ice classification maps. Based on current ice charts, three classes (Open Water, First Year Ice, Multi Year Ice) of training data sets were generated by Arctic sea ice and remote sensing experts. Ten sea ice classification algorithms were generated by combing two deep learning models (i.e. Simple CNN and Resnet50) and five cases of input bands including incident angles and thermal noise corrected HV bands. For the ten algorithms, analyses were performed by comparing classification results with ground truth points. A confusion matrix and Cohen's kappa coefficient were produced for the case that showed best result. Furthermore, the classification result with the Maximum Likelihood Classifier that has been traditionally employed to classify sea ice. In conclusion, the Convolutional Neural Network case, which has two convolution layers and two max pooling layers, with HV and incident angle input bands shows classification accuracy of 96.66%, and Cohen's kappa coefficient of 0.9499. All deep learning cases shows better classification accuracy than the classification result of the Maximum Likelihood Classifier.

Training of Radiofrequency Ablation for Thyroid Nodules in Korea: Current and Future Perspective (국내의 갑상선 고주파 절제술에 대한 교육: 현황 및 미래 전망)

  • Hye Shin Ahn;So Lyung Jung;Jung Hwan Baek;Jin Yong Sung;Ji-hoon Kim
    • Journal of the Korean Society of Radiology
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    • v.84 no.5
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    • pp.1009-1016
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    • 2023
  • Radiofrequency ablation (RFA) is a minimally invasive treatment modality used as an alternative to surgery in patients with benign thyroid nodules and recurrent thyroid cancers. In Korea, RFA for thyroid nodules was first performed in 2002, and a large population study was published in 2008. The Task Force Committee of the Korean Society of Thyroid Radiology (KSThR) developed its first recommendations for RFA in 2009, which were revised in 2012 and 2018. The KSThR guideline was the first guideline for RFA of thyroid nodules worldwide and has become a guideline for physicians to perform thyroid RFA in Korea and other countries around the world. These guidelines have contributed significantly to the establishment and widespread use of RFA worldwide. In addition, since 2015, the KSThR has conducted intensive hands-on courses depending on the level of the participants. In this article, the authors introduce the history of eduction for RFA conducted by the KSThR and describe the learning curve of RFA and current training programs in Korea, along with future directions for training programs.

Analysis of trend and variation characteristics of UNEP and MDM climate indices: the case study of Chungcheong-do province (UNEP와 MDM 기후지수의 추세 및 변동 특성 분석: 충청도 지역을 중심으로)

  • Cho, Hyungon;Choi, Kyung-Sook
    • Journal of Korea Water Resources Association
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    • v.54 no.11
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    • pp.999-1009
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    • 2021
  • As the frequency and intensity of extreme weather events due to climate change are increasing in recent years, it is very important to evaluate and analyze climate conditions to manage and respond to the negative effects of climate change in advance. In this study, the trends and characteristics of regional climate change were analyzed by calculating the climate indices for the Chungcheong Province. Annual and monthly UNEP-MP, UNEP-PM and MDM indices were calculated using daily data from 1973-2020 collected from 10 synoptic meteorological stations operated by the Korea Meteorological Administration. The normality of climate data was analyzed through the KS test, and the climate change trend was analyzed by applying the Spearman and Pearson methods. The Chungcheongnam-do region had a relatively humid climate than the Chungcheongbuk-do region, and the annual climate indices showed a dry climate trend in Cheongju and Chungju, while the climate of Seosan and Buyeo was becoming humid. Based on the monthly trend change analysis, a humid climate trend was observed in summer and autumn, while a dry climate trend was observed in spring and winter. Comparison of climate indices during the past (2001-2010) and the recent (2011-2020) years showed a higher decrease in the average climate indices during the last 10 years and a gradually drying climate change trend was recorded.

Estimation of Fractional Urban Tree Canopy Cover through Machine Learning Using Optical Satellite Images (기계학습을 이용한 광학 위성 영상 기반의 도시 내 수목 피복률 추정)

  • Sejeong Bae ;Bokyung Son ;Taejun Sung ;Yeonsu Lee ;Jungho Im ;Yoojin Kang
    • Korean Journal of Remote Sensing
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    • v.39 no.5_3
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    • pp.1009-1029
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    • 2023
  • Urban trees play a vital role in urban ecosystems,significantly reducing impervious surfaces and impacting carbon cycling within the city. Although previous research has demonstrated the efficacy of employing artificial intelligence in conjunction with airborne light detection and ranging (LiDAR) data to generate urban tree information, the availability and cost constraints associated with LiDAR data pose limitations. Consequently, this study employed freely accessible, high-resolution multispectral satellite imagery (i.e., Sentinel-2 data) to estimate fractional tree canopy cover (FTC) within the urban confines of Suwon, South Korea, employing machine learning techniques. This study leveraged a median composite image derived from a time series of Sentinel-2 images. In order to account for the diverse land cover found in urban areas, the model incorporated three types of input variables: average (mean) and standard deviation (std) values within a 30-meter grid from 10 m resolution of optical indices from Sentinel-2, and fractional coverage for distinct land cover classes within 30 m grids from the existing level 3 land cover map. Four schemes with different combinations of input variables were compared. Notably, when all three factors (i.e., mean, std, and fractional cover) were used to consider the variation of landcover in urban areas(Scheme 4, S4), the machine learning model exhibited improved performance compared to using only the mean of optical indices (Scheme 1). Of the various models proposed, the random forest (RF) model with S4 demonstrated the most remarkable performance, achieving R2 of 0.8196, and mean absolute error (MAE) of 0.0749, and a root mean squared error (RMSE) of 0.1022. The std variable exhibited the highest impact on model outputs within the heterogeneous land covers based on the variable importance analysis. This trained RF model with S4 was then applied to the entire Suwon region, consistently delivering robust results with an R2 of 0.8702, MAE of 0.0873, and RMSE of 0.1335. The FTC estimation method developed in this study is expected to offer advantages for application in various regions, providing fundamental data for a better understanding of carbon dynamics in urban ecosystems in the future.

Bacteriological Study of Sea Water and Oyster in Charan Bay, Korea (자란만의 해수 및 굴의 세균학적 연구)

  • CHOI Jong-Duck;JEONG Woo-geon;KIM Poong-Ho
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.31 no.3
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    • pp.429-436
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    • 1998
  • A bacteriological study of sea water and oyster in Charan Bay was conducted to evaluate sanitary conditions of the bay and compliance of waters with the recommended bacteriological criteria for the designated area of shellfish cultivation, The Samples were collected at 23 sampling stations(Fig. 1 and Fig. 2) estaslished once a month from January 1997 to December 1997, During the study period, temperature ranged from 4.7 to $25.6^{\circ}C$, transparency ranged from 3.3 to 6.2m chemical oxygen demand ranged from 1.67 to 2.18 mg/$\ell$, dissolved oxygen demand ranged from 5.4 to 10.0 mg/$\ell$ dissolved nitrogen ranged from 1.65 to 7.88 $\mu$g-at/$\ell$, phosphate ranged from 0.15 to 1.16 $\mu$g-at/$\ell$, Chlorophylla-a ranged from 0.95 to 12.69mg/$\ell$. The coliform group and fecal coliform MPN's of sea water were ranged from <1.8$\~$l,600 and <1.8$\~$540, respectively. The coliform group and fecal coliform MPN's of oysters were ranged from <18$\~$16,000 and <18$\~$1,400, respectively. The viable cell counts in oyster ranged from $1.5\times10^2$ to $7.5\times10^3$. The bacteriological criteria of sea water in shellfish growing area should be less than 70 per 100 ml of sea water for median value of coliform MPN, and below $10\%$ of the samples which contain over than 230 for coliform MPN or over than 43 for fecal coliform MPN. The sea water from 432 samples were complied water coliform criteria recommended for designated shellfish growing area. The coliform group, fecal coliform, classification of coliform group with IMViC reactions and pathogenic vibrios were analyzed. During the study period, infectious bacteria such as Vibrio cholerae, Salmonella sp, and Shigella sp, were not detected from the samples, but detection ratios of Vibrio parahaemolyticus and Vibrio vulnifirus were $7\~17\%$ in summer months.

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Radurization Effect of Korean Mackerel (한국산 고등어의 방사선 조사효과)

  • CHO S. J.;CHOE Y. K.;LEE S. Y.;BYUN S. M.;CHUNG J. R.
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.18 no.3
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    • pp.219-226
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    • 1985
  • To investigate potential application of radurization technique as an effective tool for controlling histamine accumulation, histamine contents were determined in fresh Korean mackerel meat samples irradiated at six dose levels of gamma radiation up to 1 Mrad during 35 day-storage at $0^{\circ},\;5^{\circ}\;and\;10^{\circ}C$. Total bacterial counts, total volatile bases and trimethylamine contents were also estimated. The minimum and maximum doses for Korean mackerel were determined to be 0.2 and 0.5 Mrad, respectively. Irradiation induced redening of fish muscle tissue and redening appeared to be dose dependent. At low doses, this redening contributed positively to the overall sensory qualities. At 0.5 and 1.0 Mrad, on the other hand, meat samples were excessively redened to the extent that red and white muscle layers were not readily distinguishable. No appreciable histamine accumulation occured during entire 35 day-storage in fresh mackerel meats, whether irradiated or not, when they were kept at ice temperature. At $5^{\circ}C$, histamine started to accumulate slightly during late storage in the samples irradiated at low doses. Even in the unirradiated samples, the histamine accumulation did not exceed the level of 10.0 mg per 100g meat until the 28th day at $5^{\circ}C$. At $10^{\circ}C$, however, histamine accumulation in the unirradiated was phenomenal from very early storage and the values reached 827.5 mg per 100g meat by the 35th day, while histamine accumulation in the irradiated was severely suppressed. Irradiation invariably brought about a significant reduction of initial microflora, disrupting normal spoilage pattern. This was reflected in the suppression of not only histamine but also total volatile bases and trimethylamine accumulation during post-irradiation storage at refrigerated temperatures.

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Effects of Early Life Stress on the Development of Depression and Epigenetic Mechanisms of p11 Gene (생애 초기 유해 경험이 우울증의 발병과 p11 유전자의 후성유전기전에 미치는 영향)

  • Seo, Mi Kyoung;Choi, Ah Jeong;Lee, Jung Goo;Urm, Sang-Hwa;Park, Sung Woo;Seog, Dae-Hyun
    • Journal of Life Science
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    • v.29 no.9
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    • pp.1002-1009
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    • 2019
  • Early life stress (ELS) increases the risk of depression. ELS may be involved in the susceptibility to subsequent stress exposure during adulthood. We investigated whether epigenetic mechanisms of p11 promoter affect the vulnerability to chronic unpredictable stress (CUS) induced by the maternal separation (MS). Mice pups were separated from their dams (3 hr/day from P1-P21). When the pups reached adulthood, we applied CUS (daily for 3 weeks). The levels of hippocampal p11 expression were analyzed by quantitative real-time PCR. The levels of acetylated and methylated histone H3 at p11 promoter were measured by chromatin immunoprecipitation. Depression-like behavior was measured by the forced swimming test (FST). The MS and CUS group exhibited significant decreases in p11 mRNA level and the MS plus CUS group had a greater reduction in this level than the CUS group. The MS plus CUS group also resulted in greater reduction in H3 acetylation than the CUS group. This reduction was associated with an upregulation of histone deacetylase 5. Additionally, the MS plus CUS group showed a greater decrease in H3K4met3 level and a greater increase in H3K27 met3 level than the CUS group. Consistent with the reduction of p11 expression, the MS plus CUS group displayed longer immobility times in the FST compared to the control group. Mice exposed to MS followed by CUS had much greater epigenetic alterations in the hippocampus compared to adult mice that only experienced CUS. ELS can exacerbate the effect of stress exposure during adulthood through histone modification of p11 gene.