• Title/Summary/Keyword: Time-series change

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Malignant Fibrous Histiocytoma of the Maxilla - Report of A Case - (상악골의 악성 섬유성 조직구종 - 증례보고 -)

  • Oh, Yoon-Kyeong;Yeo, Hwan-Ho
    • Radiation Oncology Journal
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    • v.13 no.3
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    • pp.225-231
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    • 1995
  • Malignant fibrous histiocytoma(MFH) of the maxilla is a rare malignant bone tumor Seven percents of all MFH occur in the head and neck. Approximately $12{\%}$ of these tumors occur in the maxilla. Local recurrence or distant metastasis was reported in $55{\%}$ of cases of maxillary MFH. The mean survival time of 30 months was reported from a review of 14 MFHs in the maxilla, mandible and oral soft tissues. MFH of the maxilla is best treated surgically but radical neck dissection does not appear to be indicated unless there is clinical evidence of lymph node metastases Although the use of radiation therapy for head and neck MFH has not been studied for a series of cases, individual cases of regression or histological change have been reported. Other authors have reported numbers of cases who received radiation therapy without benefit. Response to combination chemotherapy has been reported in $33{\%}$ of 23 patients with recurrent or metastatic MFH. We report here a case of MFH occurring in the maxilla with a review of literature about the clinical behavior and treatment of these lesions.

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Anomaly Detection System in Mechanical Facility Equipment: Using Long Short-Term Memory Variational Autoencoder (LSTM-VAE를 활용한 기계시설물 장치의 이상 탐지 시스템)

  • Seo, Jaehong;Park, Junsung;Yoo, Joonwoo;Park, Heejun
    • Journal of Korean Society for Quality Management
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    • v.49 no.4
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    • pp.581-594
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    • 2021
  • Purpose: The purpose of this study is to compare machine learning models for anomaly detection of mechanical facility equipment and suggest an anomaly detection system for mechanical facility equipment in subway stations. It helps to predict failures and plan the maintenance of facility. Ultimately it aims to improve the quality of facility equipment. Methods: The data collected from Daejeon Metropolitan Rapid Transit Corporation was used in this experiment. The experiment was performed using Python, Scikit-learn, tensorflow 2.0 for preprocessing and machine learning. Also it was conducted in two failure states of the equipment. We compared and analyzed five unsupervised machine learning models focused on model Long Short-Term Memory Variational Autoencoder(LSTM-VAE). Results: In both experiments, change in vibration and current data was observed when there is a defect. When the rotating body failure was happened, the magnitude of vibration has increased but current has decreased. In situation of axis alignment failure, both of vibration and current have increased. In addition, model LSTM-VAE showed superior accuracy than the other four base-line models. Conclusion: According to the results, model LSTM-VAE showed outstanding performance with more than 97% of accuracy in the experiments. Thus, the quality of mechanical facility equipment will be improved if the proposed anomaly detection system is established with this model used.

Hematologic and Serological Investigation of Effect on Gyeongokgo in Healthy Individuals : a Randomized, Subject-assessor-blind, Placebo-controlled, Single-center Pilot Study

  • Sunwoo, Yun-Young;Kim, Hye Jung;Kim, Ja Young;Yang, Na Rae;Lee, Jin Hyun;Park, Tae Yong
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.33 no.4
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    • pp.239-248
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    • 2019
  • There are no published data on Gyeongokgo (GOK) safety or efficacy despite being commonly use. The Gyeongokgo (GOK) is commonly used in traditional Korean medicine to promote a health qi and blood, but their objective data was not sufficient in clinical field. To investigate the safety and efficacy of GOK with hematologic and serologic testing and the change of the quality of life in healthy individuals. Randomized, subject-assessor-blind, placebo-controlled, single-center pilot study Participants and Interventions 29 healthy volunteer subjects were randomly placed into the GOK group (n = 20) or placebo control group (n = 9) and instructed to take one treatment packet (GOK or placebo) twice daily for 4 weeks. Subjects were assessed using the Fatigue Severity Scale (FSS) and Short Form 36 Health Survey (SF-36) and underwent hematologic and serologic tests and body composition analysis. The FSS total score (p = 0.093) and SF-36 general health index (p = 0.002) were improved following treatment in the GOK group. Post-treatment thyroid-stimulating hormone levels were increased in the GOK group compared with pre-treatment levels (p = 0.0042). C-reactive protein levels decreased (p = 0.0256) in the GOK group compared with that the placebo group. In time-series tests, GOK did not affect post-prandial serum triglycerides, glucose, insulin, or C-peptide levels. Notably, elevations in serum fasting triglycerides at 2- (p = 0.0333) and 4-hours (p = 0.0414) post-prandial were lower than those in the placebo group. GOK reduced fatigue levels and did not significantly affect laboratory test results performed to measure safety, serum glucose, and lipid profiles. Post-meal triglyceride levels were effectively reduced with treatment.

Eco-friendly Leather Dyeing Using Biomass Wastes(III): Imparting Functionality by Combination Dyeing with Marigold (Tagetes erecta L.) and Hinoki Cypress(Chamaecyparis obtusa) Leave Extracts (생물자원 폐기물을 활용한 친환경 가죽염색(III): 매리골드와 편백나무 잎 추출물의 복합염색에 의한 기능성 부여)

  • Lee, Geonhee;Shin, Younsook
    • Textile Coloration and Finishing
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    • v.31 no.1
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    • pp.1-13
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    • 2019
  • In this study, eco-friendly functional leather was developed by recycling wastes such as eel skin, marigold(Tagetas erecta l.), hinoki cypress(Chamaecyparis obtusa). The hot water extracts of marigold and hinoki cypress leaves were freeze-dried at $-80^{\circ}C$ to prepare colorant powder. The dyeing of eel leather with marigold was carried out to investigate the effects of dyeing conditions, mordanting on dye uptake, color, morphological change, and color fastness. Considering shrinkage of eel leather caused by dyeing, the optimum dyeing conditions were $60^{\circ}C$ of dyeing temperature and 60 min of dyeing time at 1:100 of bath ratio, and color of the dyed eel leather was Y to YR Munsell series. In order to prevent the degradation of leather from microbe, we conducted combination dyeing with marigold and hinoki cypress leave colorants. In this case, the combination dyed eel leathers showed excellent antimicrobial activity with above 99% bacterial reduction rate against S. aurieus and K. pneumoniae. It was confirmed that all of the dyed eel leathers were sufficient to meet the Korean Standard for color fastness of leather products. It can be applied practically for the development of eco-friendly functional leather by utilizing some useful active components extracted from plant resources and by recycling food wastes.

The performance evaluation of dam management by using Granger causal analysis (그랜저 인과분석을 통한 댐관리 성과평가)

  • Cho, Sung-Min;Yoo, Myoung-Kwan;Lee, Deokro
    • Journal of Korea Water Resources Association
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    • v.54 no.2
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    • pp.135-144
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    • 2021
  • This paper attempted to find implications for water resource management and water quality improvement by analyzing the causal relationship among discharge, water temperature and pollution index, which were expected to have a great effect on water quality with the rise of water temperature and precipitation change as the warming effect in recent years. For this purpose, the unit root test, cointegration test, and Granger causal test were carried out for 10 multi-purpose dams in Korean major water systems using time series data on discharge, water temperature, BOD, COD and DO. It was analyzed that the fluctuation of water temperature affected the pollution index more than the fluctuation of discharge volume. Also, Hapcheon dam and Chungju dam were the best water quality management dams based on the high causal relationship between water quality and discharge. The second rank was Daecheong dam. The third-ranking group were Yongdam and Andong dam, whose causal relationships between water quality and discharge were low. The last group were the remaining five dams.

Analysis of Sedimentary Environment and Micro-Landform Changes Afterthe Construction of Artificial Structuresin the Tidal Flat of Anmyeondo Gagyeongju, Western Coast of Korea (인공구조물 건설 후 안면도 가경주 간석지의 퇴적환경 및 미지형변화 분석)

  • JANG, Dong-Ho;Ryu, Ju-Hyun
    • Journal of The Geomorphological Association of Korea
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    • v.25 no.1
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    • pp.31-45
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    • 2018
  • This study investigated the characteristics of sedimentary environment changes across a tidal flat in Gagyeongju of Anmyeondo Island. We performed a spatio-temporal analysis on the grain sizes composition of sediments and micro-landform changes during the winter from 2013 to 2016. The results showed that erosion was a dominant processthroughout the study flat, reducing the surface elevation even by 1 m around the upper sand flat. As a consequence, headlands have formed in the entire region of Gagyeongju village. In addition, erosion quickly progressed along the low-lying subtidal zone and tide way and, in contrast, sedimentation progressed in the mid-elevation tidal flat. We posit that a jetty, which had been constructed as a pier facility on the eastern part of the study area, interfered with the flow of tidal current, thereby enhancing these erosional processes. This is because such interference can block the supply of fine-textured sediments from the nearby Cheonsu Bay and therefore reduce surface elevation. According to the surface sediment analysis, the sediments were categorized into 7 sedimentary facies, and generally displayed a high ratio of silt and clay. The result of time-series analysis (2012-2013) showed that the sediments on the tidal flat became fine-grained, and that sorting became worse. However, the sediments on the subtidal zone, embayment and along inside of the jetty tended to be coarse-grained. In conclusion, the tidal flat microlandform change in the study area was caused by a disruption in the seawater circulation due to the jittery construction within the tidal flat, which had a direct effect on erosional and sedimentary environment processes.

A Study on the Analysis of Crust Deformation on the Korean Peninsula after the Tohoku Earthquake using GNSS Observation (GNSS를 이용한 동일본대지진 이후 한반도 지각변동 해석 연구)

  • Kim, Hee Un;Hwang, Eui-Hong;Lee, HaSeong;Lee, Duk Kee
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.38 no.6
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    • pp.689-696
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    • 2020
  • It is known through prior research that the crust of the Korean Peninsula moves southeast at an annual average of 3 cm/year. The 2011 Great East Japan Earthquake caused a great change in the crust of the Korean Peninsula. Since then, the frequency of earthquakes has increased on the Korean Peninsula. Therefore, by using NGII and IGS GNSS observation data of the recent 15 years, to analyze the trends of changes in the deformation of the Korean Peninsula before and after the outbreak of the Great East Japan Earthquake. Data processing utilized Bernese Software V5.2, a widely used scientific and technical software around the world. As a result, the global movement of the Korean peninsula differed by about 4mm and the direction of movement by about 10° compared to before the Great East Japan Earthquake. As for the internal distortion of the Korean Peninsula, the East-West expansion of the Korean peninsula's crust was observed during the Great East Japan Earthquake, but it is believed that it has not fully returned to the level before the Great East Japan Earthquake.

Comparison of Dose Rates from Four Surveys around the Fukushima Daiichi Nuclear Power Plant for Location Factor Evaluation

  • Sanada, Yukihisa;Ishida, Mutsushi;Yoshimura, Kazuya;Mikami, Satoshi
    • Journal of Radiation Protection and Research
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    • v.46 no.4
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    • pp.184-193
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    • 2021
  • Background: The radionuclides released by the Fukushima Daiichi Nuclear Power Plant (FDNPP) accident 9 years ago are still being monitored by various research teams and the Japanese government. Comparison of different surveys' results could help evaluate the exposure doses and the mechanism of radiocesium behavior in the urban environment in the area. In this study, we clarified the relationship between land use and temporal changes in the ambient dose rates (air dose rates) using big data. Materials and Methods: We set a series of 1 × 1 km2 meshes within the 80 km zone of the FDNPP to compare the different survey results. We then prepared an analysis dataset from all survey meshes to analyze the temporal change in the air dose rate. The selected meshes included data from all survey types (airborne, fixed point, backpack, and carborne) obtained through the all-time survey campaigns. Results and Discussion: The characteristics of each survey's results were then evaluated using this dataset, as they depended on the measurement object. The dataset analysis revealed that, for example, the results of the carborne survey were smaller than those of the other surveys because the field of view of the carborne survey was limited to paved roads. The location factor of different land uses was also evaluated considering the characteristics of the four survey methods. Nine years after the FDNPP accident, the location factor ranged from 0.26 to 0.49, while the half-life of the air dose rate ranged from 1.2 to 1.6. Conclusion: We found that the decreasing trend in the air dose rate of the FDNPP accident was similar to the results obtained after the Chernobyl accident. These parameters will be useful for the prediction of the future exposure dose at the post-accident.

The Selection of Measurement Indicators by Spatial Levels for Ecosystem Services Assessment - Focused on the Provisioning Service - (생태계서비스 평가를 위한 공간 수준별 측정지표 선정 - 공급서비스를 중심으로 -)

  • Jung, Pil-Mo;Kim, Jung-In;Yeo, Inae;Joo, Wooyeong;Lee, Kyungeun
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.24 no.6
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    • pp.67-87
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    • 2021
  • Provisioning service, which is one of the ecosystem service functions, means goods and services such as food and fuel that people get from ecosystem. Provisioning functions are closely related to the primary industry, a sector of economy. Excessive demand and use of human society can cause trade-offs among regulation, cultural, and supporting services. Therefore, it is important to perform evaluation ecosystem services periodically and to monitor the time series fluctuations to identify the impact of provisioning services on other ecosystem services (trade-off) and to maintain sustainable provisioning service. When it comes to the precise assessment of provisioning service, it is necessary to get the statistical data and standardize indicators and methods. In this study, indicators and methods, which are applicable to the spatial level of national-local-protected areas, were derived through literature analysis and expert survey. The result of this study implies that provisioning services measurement by spatial level improve the efficiency of the establishment of environmental conservation plans by whose purpose.

Quantile Co-integration Application for Maritime Business Fluctuation (분위수 공적분 모형과 해운 경기변동 분석)

  • Kim, Hyun-Sok
    • Journal of Korea Port Economic Association
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    • v.38 no.2
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    • pp.153-164
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    • 2022
  • In this study, we estimate the quantile-regression framework of the shipping industry for the Capesize used ship, which is a typical raw material transportation from January 2000 to December 2021. This research aims two main contributions. First, we analyze the relationship between the Capesize used ship, which is a typical type in the raw material transportation market, and the freight market, for which mixed empirical analysis results are presented. Second, we present an empirical analysis model that considers the structural transformation proposed in the Hyunsok Kim and Myung-hee Chang(2020a) study in quantile-regression. In structural change investigations, the empirical results confirm that the quantile model is able to overcome the problems caused by non-stationarity in time series analysis. Then, the long-run relationship of the co-integration framework divided into long and short-run effects of exogenous variables, and this is extended to a prediction model subdivided by quantile. The results are the basis for extending the analysis based on the shipping theory to artificial intelligence and machine learning approaches.