• 한국정밀공학회지
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• 제23권12호
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• pp.38-45
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• 2006

In this work, optimal finish machining condition considering total time for mold or electrode manufacturing was investigated. First, manual finishing time according to the machining condition was analyzed for the work material. The effect of runout and phase shift of tool path on surface finish was also considered in those analyses. Secondly, optimal manual finishing processes were determined for various machining conditions. Finally, finish machining time and corresponding manual finishing time were taken into account for the estimation of the total time of manufacturing mold. Though small feed per tooth and pick feed reduced the manual finishing time, the finish machining time increased in such conditions. With a machining condition of feed per tooth of 0.2 mm and pick feed of 0.3 mm, the minimum total time of manufacturing mold was achieved in our machining condition.

• 인터넷정보학회논문지
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• 제18권3호
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• pp.49-61
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• 2017

Wikipedia infoboxes have emerged as an important structured information source on the web. To compose infobox for an article, considerable amount of manual effort is required from an author. Due to this manual involvement, infobox suffers from inconsistency, data heterogeneity, incompleteness, schema drift etc. Prior works attempted to solve those problems by generating infobox automatically based on the corresponding article text. However, there are many articles in Wikipedia that do not have enough text content to generate infobox. In this paper, we present an automated approach to generate infobox for movie domain of Wikipedia by extracting information from several sources of the web instead of relying on article text only. The proposed methodology has been developed using semantic relations of article content and available semi-structured information of the web. It processes the article text through some classification processes to identify the template from the large pool of template list. Finally, it extracts the information for the corresponding template attributes from web and thus generates infobox. Through a comprehensive experimental evaluation the proposed scheme was demonstrated as an effective and efficient approach to generate Wikipedia infobox.

• 정보과학회 논문지
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• 제44권2호
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• pp.163-170
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• 2017

통계적 기계 번역을 이용한 구어-수화 번역 연구가 활발해짐에도 불구하고 수화 말뭉치의 자원 희소성 문제는 해결되지 않고 있다. 본 연구는 수화 번역의 첫 번째 단계로써 통계적 기계 번역을 이용한 구어-수지 신호 번역에서 말뭉치 자원 희소성으로부터 기인하는 문제점들을 해결할 수 있는 세 가지 전처리 방법을 제안한다. 본 연구에서 제안하는 방법은 1) 구어 문장의 패러프레이징을 통한 말뭉치 확장 방법, 2) 구어 단어의 표제어화를 통한 개별 어휘 출현 빈도 증가 및 구어 표현의 번역 가능성을 향상시키는 방법, 그리고 3) 수지 표현으로 전사되지 않는 구어의 기능어 제거를 통한 구어-수지 표현 간 문장 성분을 일치시키는 방법이다. 서로 다른 특징을 지닌 영어-미국 수화 병렬 말뭉치들을 이용한 실험에서 각 방법론들이 단독으로 쓰일 때와 조합되어 함께 사용되었을 때 모두 말뭉치의 종류와 관계없이 번역 성능을 개선시킬 수 있다는 것을 확인할 수 있었다.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2007년도 춘계학술대회 논문집
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• pp.755-760
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• 2007

The research will be essential that the method for strengthening safety are safe installations in a hardware portion, a safe running ceremony of the vehicle employee (an engine driver) and the estimate of the situation which is accurate. In railway car the window wiper which is auxiliary equipment for safe operation is changed the existing manual control method with automatic correspondence precipitation used raindrops censor which can assure the vision of driving. It can be easy to safe driving as might have expected the object. We carried out studies technical review investigation which can accomplish the best suited wiping speed in maintaining an introduction existing system in the manual control system applied the existing train and corresponding to precipitation. The observation fact in the studies can be possible to ensure safety operation. That is, Manual operation method (of the driver) to add the automatic speed adjust function can operate improved window wiper drive system when it rains and, as was expected, it is able to ensure the range of a good railroad driver's vision and to concentrate in working at rainfall.

• 한국기계가공학회지
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• 제12권3호
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• pp.61-68
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• 2013

Automatic measurement system is required since cycle time and cost of production are increased by various factors in manual systems. This paper presents a machine vision based prototype measurement system for the automotive axisymmetric shape parts which are generally measured by a manual system that is required the tolerance of the part is very small on each machined surface. This measurement system adopts a method in which optical lens is transferred along the profile of the part to minimize measurement cycle time. The main interest of this paper is a development of an optimum measurement algorithm to the outside diameter of the parts that can be applied to various combinations of hardware. The operating system used to implement the whole system is Window XP and corresponding environment.

• 정보관리학회지
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• 제6권2호
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• pp.69-85
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• 1989

본 연구는 도서관 혹은 정보센터의 중요업무인 문헌탐색을 처리하는데 있어, 어떤 방법이 보다 신속하고 비용이 적게 들며, 효율적인가를 알아보기 위해 수작업탐색과 온라인탐색의 비용·효과를 비교·분석하였다. S대학교 의과대학 도서관에서 MEDLINE 데이터 베이스와 그에 해당하는 색인지 Index Medicus를 이용하여 6개의 질문을 탐색하였다.

• 한국컴퓨터정보학회논문지
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• 제21권11호
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• pp.59-64
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• 2016

In this paper, we design and implement an Application based on android platform, which can control arduino Prime Smart Car using Bluetooth communication. This Application consist of Bluetooth communication module, manual mode module, and line-tracer mode module. In the Bluetooth communication module, it checks the on/off status of Smartphone Bluetooth. If Bluetooth status is off, it activates Bluetooth, selects the corresponding device from Bluetooth device list, and connects with a pair. In order to reduce coding time, we implements Bluetooth communication using inherited class from android Bluetooth package. In the manual mode module, it implements six direction moving button and stop button, which can control arduino Prime Smart Car. In the line-tracer mode module, it implements Prime Smart Car with self-driving function using TCRT5000 sensor. And moving button and stop button is disabled.

• 재활복지공학회논문지
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• 제7권1호
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• pp.21-27
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• 2013

수동 휠체어의 추진은 추진 동작의 낮은 효율로 인하여 사용자의 상지 관절에 고통과 부상까지 유발할 수 있다. 이에 따라 수동 휠체어 추진 중에 발생하는 상지 관절의 운동역학적 해석이 필요하다. 본 연구에서는 수동 휠체어 추진 중 상지 관절에 작용하는 토크를 구할 수 있는 2차원 역동역학 모델을 개발하였다. 개발한 모델은 시상면에서 상완, 하완, 손에 해당하는 3개의 체절로 상지를 구성하였고 몸통으로부터 3개의 체절을 회전조인트로 연결한 개방연쇄구조를 갖는다. 역동역학 해는 뉴턴-오일러 방법으로 구하였고 요구되는 입력자료는 실험을 통하여 획득하였다. 수동 휠체어 추진에 필요한 상지 거동의 운동학적 자료는 3차원 동작분석 시스템에서 추출하였고 역동역학 모델의 외력에 해당하는 운동역학적 자료는 브레이크식 다이나모미터에서 추출하였다. 역동역학 모델을 이용한 해석을 통하여 수동 휠체어 추진에 따른 상지 관절의 회전각과 관절 토크를 구하였다. 개발된 모델은 상지 관절에 관한 생체역학적 해석 도구이며 적은 노력으로 3차원 역동역학 모델로 확장하는 토대가 된다.

• 대한한의학회지
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• 제43권4호
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• pp.102-130
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• 2022

Objectives: The persistence and unpredictability of coronavirus disease (COVID-19) and new measures to prevent direct medical intervention (e.g., social distancing and quarantine) have induced various psychological symptoms and disorders that require self-treatment approaches and integrative treatment interventions. To address these issues, the Korean Medicine Mental Health (KMMH) center developed a field manual by reviewing previous literature and preexisting manuals. Methods: The working group of the KMMH center conducted a keyword search in PubMed in June 2021 using "COVID-19" and "SARS-CoV-2". Review articles were examined using the following filters: "review," "systematic review," and "meta-analysis." We conducted a narrative review of the retrieved articles and extracted content relevant to previous manuals. We then created a treatment algorithm and recommendations by referring to the results of the review. Results: During the initial assessment, subjective symptom severity was measured using a numerical rating scale, and patients were classified as low- or moderate-high risk. Moderate-high-risk patients should be classified as having either a psychiatric emergency or significant psychiatric condition. The developed manual presents appropriate psychological support for each group based on the following dominant symptoms: tension, anxiety-dominant, anger-dominant, depression-dominant, and somatization. Conclusions: We identified the characteristics of mental health problems during the COVID-19 pandemic and developed a clinical mental health support manual in the field of Korean medicine. When symptoms meet the diagnostic criteria for a mental disorder, doctors of Korean medicine can treat the patients according to the manual for the corresponding disorder.

• Korean Journal of Radiology
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• 제22권2호
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• pp.168-178
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• 2021

Objective: To provide an automatic method for segmentation and diameter measurement of type B aortic dissection (TBAD). Materials and Methods: Aortic computed tomography angiographic images from 139 patients with TBAD were consecutively collected. We implemented a deep learning method based on a three-dimensional (3D) deep convolutional neural (CNN) network, which realizes automatic segmentation and measurement of the entire aorta (EA), true lumen (TL), and false lumen (FL). The accuracy, stability, and measurement time were compared between deep learning and manual methods. The intra- and inter-observer reproducibility of the manual method was also evaluated. Results: The mean dice coefficient scores were 0.958, 0.961, and 0.932 for EA, TL, and FL, respectively. There was a linear relationship between the reference standard and measurement by the manual and deep learning method (r = 0.964 and 0.991, respectively). The average measurement error of the deep learning method was less than that of the manual method (EA, 1.64% vs. 4.13%; TL, 2.46% vs. 11.67%; FL, 2.50% vs. 8.02%). Bland-Altman plots revealed that the deviations of the diameters between the deep learning method and the reference standard were -0.042 mm (-3.412 to 3.330 mm), -0.376 mm (-3.328 to 2.577 mm), and 0.026 mm (-3.040 to 3.092 mm) for EA, TL, and FL, respectively. For the manual method, the corresponding deviations were -0.166 mm (-1.419 to 1.086 mm), -0.050 mm (-0.970 to 1.070 mm), and -0.085 mm (-1.010 to 0.084 mm). Intra- and inter-observer differences were found in measurements with the manual method, but not with the deep learning method. The measurement time with the deep learning method was markedly shorter than with the manual method (21.7 ± 1.1 vs. 82.5 ± 16.1 minutes, p < 0.001). Conclusion: The performance of efficient segmentation and diameter measurement of TBADs based on the 3D deep CNN was both accurate and stable. This method is promising for evaluating aortic morphology automatically and alleviating the workload of radiologists in the near future.