• Title/Summary/Keyword: March algorithm

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Predicting the number of confirmed COVID-19 daily using machine learning models (머신러닝 모델을 이용한 일일 COVID-19 확진자 수 예측)

  • Min, song-ha;Oh, myung-ho;Kim, Jong-min
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.05a
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    • pp.697-700
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    • 2022
  • Recently, as of March 18, 2022, Corona-19 (COVID-19) has 8,250,000 confirmed persons and 11,481 deaths, and has been increasing since the outbreak in 2020. By limiting the number of people and time, we are showing how our daily life changes depending on the number of confirmed coronas. Therefore, in this study, we implemented an algorithm that predicts the number of confirmed people the next day to help minimize damage to the limits of daily life. This algorithm is an algorithm that predicts the number of confirmed persons on the next day using the number of confirmed persons for 3 days. It is predicted by adding the RNN and Dense layers using the Sequential model, and the number of people is subdivided by region. In order to predict the limit, we matched the personnel limit based on the number of fixed persons per day based on Seoul.

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Single Center Experience with Gastrostomy Insertion in Pediatric Patients: A 10-Year Review

  • Kim, Jiyoung;Koh, Hong;Chang, Eun Young;Park, Sun Yeong;Kim, Seung
    • Pediatric Gastroenterology, Hepatology & Nutrition
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    • v.20 no.1
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    • pp.34-40
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    • 2017
  • Purpose: This study was performed to review the outcomes of gastrostomy insertion in children at our institute during 10 years. Methods: A retrospective chart review was performed on 236 patients who underwent gastrostomy insertion from October 2005 to March 2015. We used our algorithm to select the least invasive method for gastrostomy insertion for each patient. Long-term follow-up was performed to analyze complications related to the method of gastrostomy insertion. Results: Out of 236 patients, 120 underwent endoscopic gastrostomy, 79 had laparoscopic gastrostomy, and 37 had open gastrostomy procedures. The total major complication rates for endoscopic gastrostomy insertion, laparoscopic gastrostomy insertion, and open gastrostomy were 9.2%, 8.9%, and 8.1%, respectively. The most common major complication was gastroesophageal reflux requiring Nissen fundoplication (3.8%), and other complications included peritonitis (1.3%), hiatal hernia (1.3%), and bowel perforation (0.8%). Gastrostomy removal was successful in 8.6% and 5.0% of patients in the endoscopic and surgical gastrostomy groups, respectively. Gastrocutaneous fistula occurred in 60% of surgically inserted cases, requiring a second operation. Conclusion: This retrospective study was performed to review the outcome of gastrostomy insertion, as well as to introduce an algorithm that can be used for future cases. Further studies should be conducted to make a consensus on choosing the most appropriate method for gastrostomy insertion.

Development of epidemic model using the stochastic method (확률적 방법에 기반한 질병 확산 모형의 구축)

  • Ryu, Soorack;Choi, Boseung
    • Journal of the Korean Data and Information Science Society
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    • v.26 no.2
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    • pp.301-312
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    • 2015
  • The purpose of this paper is to establish the epidemic model to explain the process of disease spread. The process of disease spread can be classified into two types: deterministic process and stochastic process. Most studies supposed that the process follows the deterministic process and established the model using the ordinary differential equation. In this article, we try to build the disease spread prediction model based on the SIR (Suspectible - Infectious - Recovered) model. we first estimated the model parameters using least squared method and applied to a deterministic model using ordinary differential equation. we also applied to a stochastic model based on Gillespie algorithm. The methods introduced in this paper are applied to the data on the number of cases of malaria every week from January 2001 to March 2003, released by Korea Centers for Disease Control and Prevention. As a result, we conclude that our model explains well the process of disease spread.

The Perception of Gorpcore Look Using Big Data (빅 데이터를 활용한 고프코어 룩에 대한 인식)

  • Ji-Woo Kim;Jeong-Mee Kim
    • Journal of the Korea Fashion and Costume Design Association
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    • v.25 no.4
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    • pp.77-92
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    • 2023
  • The purpose of this study is to investigate the public perception of Gorpcore through Big Aata analytics. The study was conducted based on the collection of Big Data on the word 'Gorpcore' through Textom from July 24, 2017 to March 31, 2023. As a result, 63,386 words were collected from a total of 18,879 posts, and the top 50 words were determined based on frequency of appearance. Based on the collected words, centrality measures and CONCOR algorithm were performed in Ucinet 6. The research results are as follows. 1) The frequency of appearance was high in the order of 'Gorpcore look', 'fashion', 'coordination', 'clothes', 'outdoor', 'Musinsa', 'look', 'trend', 'brand' and 'ahjussi (middle-aged old man in Korean)'. These words had high TF-IDF scores, which leads to the conclusion that these are key words that are recognized as important. 2) Network centrality shows that 'Gorpcore look', 'fashion', 'outdoor', 'coordination', 'clothes', 'trend', 'look' and 'style' have a high correlation with other words. Through this, it was found that the public thinks it is important to create a variety of fashions by styling high-performance outdoor wear and casual wear, and that they are highly interested in clothes and in brands leading the Gorpcore trend. 3) As a result of the CONCOR algorithm, four significant groups were formed. The words that appear in each group are as follows. Group 1 - 'outdoor', 'Gorp', 'Normcore', 'hiking', 'functionality', 'new', 'sports', 'casual wear', 'activity', 'generation', 'collaboration'. Group 2 - 'fashion', 'trend', 'look', 'brand', 'style', 'shoes', 'ugly', 'item', 'trend', 'product', 'Salomon', 'padded jacket', 'stylishness', 'utilization', 'Winter', 'street', 'design', 'retro', 'popular', 'styling'. Group 3 - 'Gorpcore look', 'coordination', 'Musinsa', 'windbreaker', 'recommendation', 'Arcteryx', 'pants', 'man'. Group 4 - 'clothes' 'ahjussi', 'jacket', 'launching', 'spring', 'The North Face', 'collection', 'utility', 'jumper'. As a result, it can be seen that the Gorpcore is also regarded as a part of outdoor, fashion, coordination, and casual wear.

Noncontrast Computed Tomography-Based Radiomics Analysis in Discriminating Early Hematoma Expansion after Spontaneous Intracerebral Hemorrhage

  • Zuhua Song;Dajing Guo;Zhuoyue Tang;Huan Liu;Xin Li;Sha Luo;Xueying Yao;Wenlong Song;Junjie Song;Zhiming Zhou
    • Korean Journal of Radiology
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    • v.22 no.3
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    • pp.415-424
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    • 2021
  • Objective: To determine whether noncontrast computed tomography (NCCT) models based on multivariable, radiomics features, and machine learning (ML) algorithms could further improve the discrimination of early hematoma expansion (HE) in patients with spontaneous intracerebral hemorrhage (sICH). Materials and Methods: We retrospectively reviewed 261 patients with sICH who underwent initial NCCT within 6 hours of ictus and follow-up CT within 24 hours after initial NCCT, between April 2011 and March 2019. The clinical characteristics, imaging signs and radiomics features extracted from the initial NCCT images were used to construct models to discriminate early HE. A clinical-radiologic model was constructed using a multivariate logistic regression (LR) analysis. Radiomics models, a radiomics-radiologic model, and a combined model were constructed in the training cohort (n = 182) and independently verified in the validation cohort (n = 79). Receiver operating characteristic analysis and the area under the curve (AUC) were used to evaluate the discriminative power. Results: The AUC of the clinical-radiologic model for discriminating early HE was 0.766. The AUCs of the radiomics model for discriminating early HE built using the LR algorithm in the training and validation cohorts were 0.926 and 0.850, respectively. The AUCs of the radiomics-radiologic model in the training and validation cohorts were 0.946 and 0.867, respectively. The AUCs of the combined model in the training and validation cohorts were 0.960 and 0.867, respectively. Conclusion: NCCT models based on multivariable, radiomics features and ML algorithm could improve the discrimination of early HE. The combined model was the best recommended model to identify sICH patients at risk of early HE.

Development of Chicken Carcass Segmentation Algorithm using Image Processing System (영상처리 시스템을 이용한 닭 도체 부위 분할 알고리즘 개발)

  • Cho, Sung-Ho;Lee, Hyo-Jai;Hwang, Jung-Ho;Choi, Sun;Lee, Hoyoung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.3
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    • pp.446-452
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    • 2021
  • As a higher standard for food consumption is required, the consumption of chicken meat that can satisfy the subdivided food preferences is increasing. In March 2003, the quality criteria for chicken carcasses notified by the Livestock Quality Assessment Service suggested quality grades according to fecal contamination and the size and weight of blood and bruises. On the other hand, it is too difficult for human inspection to qualify mass products, which is key to maintaining consistency for grading thousands of chicken carcasses. This paper proposed the computer vision algorithm as a non-destructive inspection, which can identify chicken carcass parts according to the detailed standards. To inspect the chicken carcasses conveyed at high speed, the image calibration was involved in providing robustness to the side effect of external lighting interference. The separation between chicken and background was achieved by a series of image processing, such as binarization based on Expectation Maximization, Erosion, and Labeling. In terms of shape analysis of chicken carcasses, the features are presented to reveal geometric information. After applying the algorithm to 78 chicken carcass samples, the algorithm was effective in segmenting chicken carcass against a background and analyzing its geometric features.

A Comparative Analysis of Domestic and Foreign Docker Container-Based Research Trends (국내·외 도커 컨테이너 기반 연구 동향 비교 분석)

  • Bae, Sun-Young
    • The Journal of the Korea Contents Association
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    • v.22 no.10
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    • pp.742-753
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    • 2022
  • Cloud computing, which is rapidly growing as one of the core technologies of the 4th industrial revolution, has become the center of global IT trend change, and Docker, a container-based open source platform, is the mainstream for virtualization technology for cloud computing. Therefore, in this paper, research trends based on Docker containers were compared and analyzed, focusing on studies published from March 2013 to July 2022. As a result of the study, first, the number of papers published by year, domestic and foreign research were steadily increasing. Second, the keywords of the study, in domestic research, Docker, Docker Containers, and Containers were in the order, and in foreign research, Cloud Computing, Containers, and Edge Computing were in the order. Third, in the frequency of publishing institutions to estimate research trends, the utilization was the highest in two papers of the Korean Next Generation Computer Society and the Korean Computer Accounting Society. In the overseas research, IEEE Communications Surveys & Tutorials, IEEE Access, and Computer were in the order. Fourth, in the research method, experiments 78(26.3%) and surveys 32(10.8%) were conducted in domestic research. In foreign research, experiments 128(43.1%) and surveys 59(19.9%) were conducted. In the experiment of implementation research, In domestic research, System 25(8.4%), Algorithm 24(8.1%), Performance Measurement and Improvement 16(5.4%) were in the order, In foreign research, Algorithm 37(12.5%), Performance Measurement and Improvement 17(9.1%), followed by Framework 26(8.8%). Through this, it is expected that it will be used as basic data that can lead the research direction of Docker container-based cloud computing such as research methods, research topics, research fields, and technology development.

Alternating Sunspot Area and Hilbert Transform Analysis

  • Kim, Bang-Yeop;Chang, Heon-Young
    • Journal of Astronomy and Space Sciences
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    • v.28 no.4
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    • pp.261-265
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    • 2011
  • We investigate the sunspot area data spanning from solar cycles 1 (March 1755) to 23 (December 2010) in time domain. For this purpose, we employ the Hilbert transform analysis method, which is used in the field of information theory. One of the most important advantages of this method is that it enables the simultaneous study of associations between the amplitude and the phase in various timescales. In this pilot study, we adopt the alternating sunspot area as a function of time, known as Bracewell transformation. We first calculate the instantaneous amplitude and the instantaneous phase. As a result, we confirm a ~22-year periodic behavior in the instantaneous amplitude. We also find that a behavior of the instantaneous amplitude with longer periodicities than the ~22-year periodicity can also be seen, though it is not as straightforward as the obvious ~22-year periodic behavior revealed by the method currently proposed. In addition to these, we note that the phase difference apparently correlates with the instantaneous amplitude. On the other hand, however, we cannot see any obvious association of the instantaneous frequency and the instantaneous amplitude. We conclude by briefly discussing the current status of development of an algorithm for the solar activity forecast based on the method presented, as this work is a part of that larger project.

Development of a Constipation Intervention Program for Inpatients (입원환자의 변비 중재를 위한 프로그램의 개발)

  • Choi, Ja-Yun;Jang, Keum-Seong;Kim, Hyun-Oh
    • Korean Journal of Adult Nursing
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    • v.15 no.4
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    • pp.596-606
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    • 2003
  • Purpose: The purposes of this study were to develope and evaluate a constipation intervention program for inpatients. Method: To develope this program, Six phases were processed including the organization of team, the analysis of medical chart, the development of tentative constipation intervention program, the test of content validity, the test of clinical validity and the determination of final constipation intervention program. To evaluate the clinical validity of this program, 10 subjects who were in the C University Hospital were selected from March, 2001 to October, 2001. Result: The clinical validity was supplied by the pilot test, showing the potential effect of the program. Based on the validity results the final algorithm and the form of nursing record for this program which consist of the 3-step assessments and the intervention protocol were presented in this study. Conclusion: The advantage of this program is being able to assess and manage constipation simultaneously and is especially effective to patients who are at risk for developing constipation during their admission. Further study needs are also necessary to evaluate the effect of this program on the self-symptom of constipation.

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Development of Versatile CAM System (PosCAM) Supporting CNC Shop Floor Operation (CNC Shop Floor 조업지원용 다능형 CAM시스템 (PosCAM) 개발)

  • 서석환;지우석;김성구;홍희동;조정훈;정대혁;김창남
    • Korean Journal of Computational Design and Engineering
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    • v.4 no.4
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    • pp.339-349
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    • 1999
  • The punose of this paper is to introduce the comprehensive CAM system (called PosCAM) supporting various function requested from shop floor operators. PosCAM is comported of two subsystems (PosCAM I and PosCAM II) which are designed to make up for the contemporary CAD/CAM systems. PosCAM I is mainly for : a) verifying the part programs written in both custom macros and standard G-codes, b) enhancing machining productivity and quality with built-in cutting conditions and feedrate optimization algorithm. PosCAM II is for : a) efficiently managing the numerous part programs and tool data stored in CNC memory, and b) integratively controlling and monitoring various CNCs from the control center through RS-422 with DNC 2 protocol. The developed systems have been tested via various experiments, and can be Applied for the industrial CNC machine shop as a means for enhancing productivity. The PosCAM system has been implemented and successfully used in the Machine Shop Department of PosCAM since march 1998.

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