• Communications for Statistical Applications and Methods
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• v.29 no.1
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• pp.41-51
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• 2022

We forecast the US oil consumption level taking advantage of google trends. The google trends are the search volumes of the specific search terms that people search on google. We focus on whether proper selection of google trend terms leads to an improvement in forecast performance for oil consumption. As the forecast models, we consider the least absolute shrinkage and selection operator (LASSO) regression and the structured regularization method for large vector autoregressive (VAR-L) model of Nicholson et al. (2017), which select automatically the google trend terms and the lags of the predictors. An out-of-sample forecast comparison reveals that reducing the high dimensional google trend data set to a low-dimensional data set by the LASSO and the VAR-L models produces better forecast performance for oil consumption compared to the frequently-used forecast models such as the autoregressive model, the autoregressive distributed lag model and the vector error correction model.

• Nuclear Engineering and Technology
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• v.54 no.1
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• pp.414-422
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• 2022

Presented in this paper is a methodology for combining a Bayesian statistical approach with Data Quality Objectives (a structured decision-making method) to provide increased levels of confidence in analytical data when approaching a waste boundary. Development of sampling and analysis plans for the characterisation of radioactive waste often use a simple, one pass statistical approach as underpinning for the sampling schedule. Using a Bayesian statistical approach introduces the concept of Prior information giving an adaptive sample strategy based on previous knowledge. This aligns more closely with the iterative approach demanded of the most commonly used structured decision-making tool in this area (Data Quality Objectives) and the potential to provide a more fully underpinned justification than the more traditional statistical approach. The approach described has been developed in a UK regulatory context but is translated to a waste stream from the Fukushima Daiichi Nuclear Power Station to demonstrate how the methodology can be applied in this context to support decision making regarding the ultimate disposal option for radioactive waste in a more global context.

• Transactions of Materials Processing
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• v.31 no.5
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• pp.267-272
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• 2022

A dual-phase structure refers to a material with two different phases of components or crystal structures. In this study, we analyze the stress distributions for harmonic and composite structured materials which are a kind of dual-phase structure materials. The finite element method (FEM) was used to progress compression test to analyze the strain distribution, and rather than constituted of a fully dense material, a dual-phase structure was designed to make a lightweight structure that has different shapes and volumes of vacancy in each case. As a result of each case, the dual-phase structured materials showed different stress distribution patterns and based on this, the cause was identified through the research.

• Journal of the Korean Society of Systems Engineering
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• v.18 no.1
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• pp.99-104
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• 2022

In this paper, to increase the maintenance efficiency of the urban railway train control system and to build a standard data system, we collect as much as possible structured, unstructured, and semi-structured data, and collect data by sensing and monitoring the system status and system status and monitoring. pre-process function data(Identification, purification, integration, transformation) through effective data classification and maintenance activities business classification system was studied. The purpose of this is to define the data matrix model by considering the relationship with the data generated and managed in the O&M stage of the train control system operated by the urban railway together with the WBS model, and to reflect and utilize it in practice.

• 한국전산유체공학회:학술대회논문집
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• 2003.10a
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• pp.137-139
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• 2003

As a part of numerical and experimental research works for the prediction and improvement of ship's maneuvering performance, a study on the performance analysis of two different rudders has been carried out. While the planform shape and the aspect ratio of the rudders have been fixed, section shape has been changed. Conventional type of HMRI NP section and special type of dolphin-tail section have been employed. Performances of the rudders have been investigated by using CFD and compared with experimental data obtained in a wind tunnel. A commercial CFD program has been used to solve the RANS equations. Two-equation k-ro model has been applied to close the governing equations. Block-structured grids are used in the numerical calculation. Based upon the calculation results, the rudder with dolphin-tail section has shown a possibility of significantly improving rudder performance if utilized as the section of ship rudders.

• Annual Conference of KIPS
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• 2011.04a
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• pp.361-364
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• 2011

본 논문의 목표는 크게 두 가지이다. 하나는 2010년에 개발한 메신저 자동번역 시스템을 소개하는 것이고, 다른 하나는 메신저 대화체 문장을 더욱 고품질로 번역하기 위한 구조화된 번역 메모리(Structured Translation Memory)를 소개하는 것이다. 구조화된 번역 메모리는 기존의 문자열 기반의 번역 메모리와 자동 번역 시스템의 경계를 허무는 개념으로 구조를 표현하는 계층적 번역 메모리들로 구성된다. 구조화된 번역 메모리는 문자열 번역 메모리, 원형 어휘로 구성된 번역 메모리, 고유명사가 청킹된 번역 메모리, 날짜/숫자가 청킹된 번역 메모리, 기본명사구가 청킹된 번역 메모리, 문장 패턴 번역 메모리로 단계적으로 구성된다. 구조화된 번역 메모리를 적용하기 전의 2010년의 영한 메신저 자동 번역 시스템의 번역률이 81.67%였던 반면에, 구조화된 번역 메모리를 적용하려는 2011년의 영한 메신저 자동 번역 시스템의 시물레이션 번역률은 85.25%인 것으로 평가되었다. 따라서 구조화된 번역 메모리를 적용하였을 때는 기존의 번역률보다 3.58% 향상할 것으로 예측된다.

• Journal of Digestive Cancer Research
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• v.2 no.1
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• pp.11-14
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• 2014

Competency for practicing gastroenterology in the United States requires accredited training in Internal Medicine, followed by accredited training in gastroenterology and hepatology. The structured training encompasses a 3-year period after graduation with a medical degree for internal medicine, followed by a 3-year period for gastroenterology and hepatology. Within the gastroenterology training period, competency in oncology knowledge and procedural approaches to luminal and solid gastrointestinal organ cancers is required, whereas knowledge competency but not procedural competency is required in areas of advanced endoscopic procedures for cancer care. Only general knowledge, but not competency, is required for areas such as chemotherapy, which can be obtained with further optional training in a structured 2-year oncology fellowship program. Although there is no standardization to date for including full oncology training within a gastroenterology training program in the United States, there is great interest from gastroenterology professional societies to include a pathway for trainees within the gastroenterology training program.

• Journal of Web Engineering
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• v.20 no.3
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• pp.795-816
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• 2021

The existing industry evaluation method utilizes the method of collecting the structured information such as the financial information of the companies included in the relevant industry and deriving the industrial evaluation index through the statistical analysis model. This method takes a long time to calculate the structured data and cause the time delay problem. In this paper, to solve this time delay problem, we derive monthly industry-specific interest and likability as a time series data type, which is a new industry evaluation indicator based on unstructured data. In addition, we propose a method to predict the industrial risk index, which is used as an important factor in industrial evaluation, based on derived industry-specific interest and likability time series data.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.35 no.1
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• pp.15-21
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• 2024

Autism spectrum disorder (ASD) is diagnosed by the clinical decision of a trained professional based on the Diagnostic and Statistical Manual for Mental Disorders, Fifth Edition or International Classification of Diseases 11th Revision diagnostic criteria. To obtain information for diagnostic formulation, professionals should explore detailed developmental history, and can use structured or semi-structured assessment tools to observe interaction between the child and parents or strangers. Diagnostic assessment should include a profile of the strength and weaknesses of the individual and should be conducted using an optimal approach by a multidisciplinary team with appropriate techniques and experience. Assessment of language, cognitive, neuropsychological, and adaptive functioning should be conducted in ASD individuals prior to establishing an individualized treatment plan. Genetic testing, brain magnetic resonance imaging or electroencephalogram testing can be considered for identification of underlying causes.

• Annual Conference of KIPS
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• 2024.10a
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• pp.40-41
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• 2024

최근 딥러닝 연산의 고도화에 따라 희소성(Sparsity)을 효율적으로 처리할 수 있는 유연한 구조의 DNN 가속기가 중요해지고 있다. 그러나 기존의 가속기들은 유연성과 효율성 면에서 한계가 존재한다. 본 논문에서는 DNN 가속기의 기존 모델들과 최신 연구 동향에 대해 살펴본다. 특히 unstructured sparsity, structured sparsity, 그리고 최근 제안된 Hierarchical Structured Sparsity (HSS)를 적용한 가속기들을 분석하며, 각 접근 방식의 장단점을 비교한다.