• Proceedings of the Korean Information Science Society Conference
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• 2005.07b
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• pp.670-672
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• 2005

본 논문은 비전을 기반으로 한 감정인식 로봇에 관한 논문이다. 피부스킨칼라와 얼굴의 기하학적 정보를 이용한 얼굴검출과 감정인식 알고리즘을 제안하고, 개발한 로봇 시스템을 설명한다. 얼굴 검출은 RGB 칼라 공간을 CIElab칼라 공간으로 변환하여, 피부스킨 후보영역을 추출하고, Face Filter로 얼굴의 기하학적 상관관계를 통하여 얼굴을 검출한다. 기하학적인 특징을 이용하여 눈, 코, 입의 위치를 판별하여 표정 인식의 기본 데이터로 활용한다. 눈썹과 입의 영역에 감정 인식 윈도우를 적용하여, 윈도우 내에서의 픽셀값의 변화와 크기의 변화로 감정인식의 특징 칼을 추출한다. 추출된 값은 실험에 의해서 미리 구해진 샘플과 비교를 통해 강정을 표현하고, 표현된 감정은 Serial Communication을 통하여 로봇에 전달되고, 감정 데이터를 받은 얼굴에 장착되어 있는 모터를 통해 표정을 표현한다.

• Journal of Trauma and Injury
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• v.27 no.3
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• pp.89-93
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• 2014

Bile leaks are complications that are much more frequent after a high-grade liver injury than after a low-grade liver injury. In this report, we describe the management of bile leaks that were encountered after angiographic embolization in a 27-year-old man with a high-grade blunt liver injury. He had undergone an abdominal irrigation and drainage with a laparotomy on post-injury day (PID) 16 due to bile peritonitis and continuous bile leaks from percutaneous abdominal drainage. He required three percutaneous drainage procedures for a biloma and liver abscesses in hepatic segments 4, 5 and 8, as well as endoscopic retrograde cholangiopancreatography with biliary stent placement into the intrahepatic biloma via the common bile duct. We detected communication between the biloma and the bilateral intrahepatic duct by using a tubogram. Follow-up abdominal computed tomography on PID 47 showed partial thrombosis of the inferior vena cava at the suprahepatic level, and the patient received anticoagulation therapy with low molecular weight heparin and rivaroxaban. As symptomatic improvement was achieved by using conservative management, the percutaneous drains were removed and the patient was discharged on PID 82.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.04a
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• pp.645-647
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• 2014

최근 우리나라는 정보통신산업의 발전으로 인해 수출이 꾸준히 증가하고 있다. 하지만 특허권을 사용할 때 발생하는 지식재산권 사용료 수지는 단 한 번도 흑자를 낸 적이 없을 정도로 만성적인 적자가 계속되고 있는데, 이는 국내에서 보유하고 있는 원천특허 혹은 표준기술특허가 부족하기 때문이라고 여겨진다. 이에 표준특허에 대한 관심과 그에 관한 중요성이 부각되면서 관련 연구 또한 활발히 수행되고 있다. 하지만 표준특허를 선별하거나 탐색하는 방법에 관한 연구는 찾아보기 힘든 실정이다. 따라서 본 연구에서는 표준특허의 확보를 위한 정성적인 방법, 정량적인 방법과 두 가지 방법을 혼합하여 표준특허를 선별, 탐색하는 연구 동향에 관하여 정리하였다. 표준특허의 연구 동향을 파악하고 분석함으로써 향후 표준화의 가능성이 있는 특허를 도출하고 선별하는 연구를 수행하는데 많은 도움이 될 수 있다고 기대한다.

• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.94-94
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• 2015

기후변화와 변동으로 인한 기상이변이 갈수록 심각해지고 발생 빈도도 잦아짐에 따라 현재의 배수관련 사회기반시설(Drainage Infrastructure)이 이런 문제에 대처할 준비가 잘되어 있는지에 대해 의문점이 제기되고 있다. 현재의 배수관련 사회기반시설의 설계는 이른바 정상성(stationarity)이라는 가정 하에 강우의 강도(Intensity), 지속기간(Duration), 빈도(Frequency)의 관계를 나타내는 I-D-F 곡선을 주로 이용하기 때문에 기후변화로 인한 극치사상(extremes)의 유의한 변화를 나타낼 수가 없다는 한계점을 가지고 있다. 그러나 기후변화는 극한기후(climatic extremes)의 특성을 비정상성(nonstationarity)이라 일컫는 개념으로 바꾸고 있기 때문에 배수관련 기반구조 설계(Drainage Infrastructuredesign)의 기본 가정의 하나인 강우 통계 매개변수의 정상성은 기후변화의 시대에는 더는 유효하지 않을 수 있다. 본 논문에서는 이러한 비정상성을 고려하여 조건부 GEV 분포를 이용하여 지속시간별 확률강우량 과비정상성 I-D-F 곡선식을 유도하였다. 또한, 분포형 홍수유출모형인 S-RAT(Spatial Runoff Assessment Tool)을 이용하여 강우강도의 증가가 설계 최대유량(design peak flows)에 미치는 영향을 분석하였다. 분석결과 지속기간별 차이는 있었지만 고빈도로 갈수록 전반적으로 현행 I-D-F 곡선이 실질적으로 극한강수를 과소평가하고 있으며 정상성 I-D-F 곡선 작성 방법이 기후변화의 배수관련 기반구조물의 능력설계에 적합지 않을 수도 있음을 제시하였다.

• Journal of the Korea Society of Computer and Information
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• v.11 no.4 s.42
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• pp.283-289
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• 2006

The present image segmentation is what user want to segment image and has been studied for technology in composition of segment object with other images. In this paper, we propose a method of novel semi-automatic image segmentation using gradual region merging and genetic algorithm. Proposed algorithm is edge detection of object using genetic algorithm after selecting object which user want. We segment region of object which user want to based on detection edge using watershed algorithm. We separated background and object in indefinite region using gradual region merge from Segment object. And, we have applicable value which user want by making interface based on GUI for efficient perform of algorithm development. In the experiments, we analyzed various images for proving superiority of the proposed method.

• Journal of the Korea Society of Computer and Information
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• v.11 no.3
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• pp.133-139
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• 2006

Multimedia data is increasing rapidly by development of computer Information technology. Specially, quick and accurate processing of image data is required in image retrieval field. But it is difficult to guarantee both quickness and accuracy. This article suggests the algorithm that extracts representative features of image using genetic algorithm to solve this problem. This algorithm guarantees quickness and accuracy of retrieval by extracting representative features of image. We used color and texture as feature of image. Experiment shows that feature extracting method that is proposed is more accurate than existing study. So this study establishes propriety of method that is proposed.

• Journal of Korea Society of Digital Industry and Information Management
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• v.17 no.3
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• pp.1-7
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• 2021

The number of new students at many domestic universities is declining. In particular, private universities, which are highly dependent on tuition, are experiencing a crisis of existence. Amid the declining school-age population, universities are striving to fill new students by improving the quality of education and increasing the student employment rate. Recently, there is an increasing number of cases of using the accumulated big data of universities to prepare measures to fill new students. A representative example of this is the analysis of factors that affect student employment. Existing employment-influencing factor analysis studies have applied quantitative models such as regression analysis to university big data. However, since the factors affecting employment differ by major, it is necessary to reflect this. In this paper, the factors affecting employment by major are analyzed using the data of University C and the decision tree model. In addition, based on the analysis results, a roadmap for student employment by major is recommended. As a result of the experiment, four decision tree models were constructed for each major, and factors affecting employment by major and roadmap were derived.

• Journal of Korea Society of Digital Industry and Information Management
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• v.17 no.1
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• pp.109-115
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• 2021

The number of freshmen at universities is decreasing due to the recent decline in the school-age population, and the survival of many universities is threatened. To overcome this situation, universities are seeking ways to use big data within the school to improve the quality of education. A study on the prediction of dropout students is a representative case of using big data in universities. The dropout prediction can prepare a systematic management plan by identifying students who will drop out of school due to reasons such as dropout or expulsion. In the case of actual on-campus data, a large number of missing values are included because it is collected and managed by various departments. For this reason, it is necessary to construct a model by effectively reflecting the missing values. In this study, we propose a university student dropout prediction model based on eXtreme Gradient Boost that can be applied to data with many missing values and shows high performance. In order to examine the practical applicability of the proposed model, an experiment was performed using data from C University in Chungbuk. As a result of the experiment, the prediction performance of the proposed model was found to be excellent. The management strategy of dropout students can be established through the prediction results of the model proposed in this paper.

• Journal of Korean Foot and Ankle Society
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• v.26 no.3
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• pp.143-147
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• 2022

Past research has reported that the common causes of ankle arthritis include trauma, congenital deformity, and degeneration. Among them, fracture-induced post-traumatic arthritis is most common. For patients with ankle fractures, an anatomical reduction is performed through surgical treatment. However, insufficient reduction or malunion of the fracture site may change the alignment of the ankle joint, resulting in valgus or varus deformities. Currently, most operative options for valgus arthritis aim to either restore joint alignment and/or reduce the uneven load on the cartilage. In this report, we would like to share our clinical experience of a patient with posttraumatic valgus ankle arthritis caused by severely comminuted fracture and dislocation. A satisfactory outcome could be obtained with combined fibular lengthening osteotomy and medial displacement calcaneal osteotomy.

• The Journal of Internal Korean Medicine
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• v.43 no.6
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• pp.1219-1228
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• 2022

Objectives: The aim of this study was to report a clinical case of decompensated liver cirrhosis in a patient with jaundice who showed improvement with Korean medicine treatment. Methods: A patient with decompensated liver cirrhosis with jaundice was treated with herbal medicine (Injinoryung-tang, Galgeunjowi-tang), acupuncture, cupping, and moxibustion. Changes in jaundice, fatigue, and dysuria were measured with subjective parameters. Liver function was checked by performing a blood test 8 times. The levels of aspartate aminotransferase (AST), alanine aminotransferase (ALT), alkaline phosphatase (ALP), gamma glutamyl transpeptidase (GGT), total bilirubin (TB), albumin, and platelets (Plt), prothrombin time (PT), and international normalized ratio (INR) were recorded. Results: The Korean medicine treatment improved jaundice, fatigue, and dysuria and lowered the AST, ALT, ALP, GGT, and TB levels. Conclusions: Korean medicine treatment containing Galgeunjowi-tang positively improves clinical symptoms and liver function.