• Proceedings of the Korean Information Science Society Conference
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• 2007.10c
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• pp.12-16
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• 2007

웹 서비스는 사용자의 요청에 적합한 서비스 제공자의 정보를 제공하여 주는 시스템으로 사용자는 원하는 서비스를 웹 서비스에서 검색, 통합하는 등으로 새로운 서비스를 조합할 수 있다. 이러한 웹 서비스는 다양한 형태의 검색자원을 가질 수 있는데 HERMES는 웹 서비스 시각미디어 검색 시스템의 일종이다. 오늘날의 웹 서비스는 시맨틱 개념을 접목시켜 검색 성능을 향상시키고 정확성을 증대시키기 위해 온톨로지를 주로 활용한다. 시맨틱 개념의 핵심기술인 온톨로지는 단어와 관계들로 구성된 사전으로서 어느 특정분야에 관련된 단어들을 계층적 구조로 표현한 것이다. 본 논문은 온톨로지의 반자동 생성을 위해 Mining Extractor를 구축하여 HERMES를 개선하는 방법을 제안한다. Mining Extractor는 대상 도메인을 필터링하고 도메인간의 계층구조를 파악하여 온톨로지를 구축하는 것을 목적으로 한다. 이를 위해 워드넷(WordNet)과 데이터 마이닝 기법의 연관규칙을 적용하였다.

• Journal of the Korean Society of Clothing and Textiles
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• v.43 no.6
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• pp.891-909
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• 2019

This study uses a documentary survey, field survey and textile's characteristics to understand the history of the Punggi Viscose Rayon. Punggi's textile industry grew as people migrated from Pyeongan Province in the 1900s. Little is known regarding early production conditions, but documents show cottage industries in the 1940s made union cloth using silk and rayon. The Punggi weaving industry peaked after the Korean War and declined in the late 1950s. Punggi rayon at that time was mainly used for lingerie or lining, with miliary or polka dot patterns. The industry regained momentum when the power loom was introduced in the 1960s. Manufacturers also started weaving union cloth with synthetic fibers and rayon. In the 1990s, jacquard looms enabled the weaving of elaborately colored and patterned textiles for outer fabric that made Punggi rayon famous. Most Punggi rayon looms have developed in the order of manual handlooms, semiautomatic looms, Jokdapgi, to power looms. Looms equipped with dobbies or jacquard devices also changed from wooden dobby looms to wooden jacquard looms and then to iron jacquard looms. Punggi Rayon currently has its own trademark and tag, but lacks specific regulations on the blending of fibers.

• Annual Conference on Human and Language Technology
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• 2016.10a
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• pp.257-262
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• 2016

본 논문은 비구조적인 자연어 문장으로부터 두 개체 사이의 관계를 표현하는 구조적인 트리플을 밝히는 관계추출에 관한 연구를 기술한다. 사람이 직접 언어적 분석을 통해 트리플이 표현되는 형식을 입력하여 관계를 추출하는 규칙 기반 접근법에 비해 기계가 데이터로부터 표현 형식을 학습하는 기계학습 기반 접근법은 더 다양한 표현 형식을 확보할 수 있다. 기계학습을 이용하려면 모델을 훈련하기 위한 학습 데이터가 필요한데 학습 데이터가 수집되는 방식에 따라 지도 학습, 원격지도 학습 등으로 구분할 수 있다. 지도 학습은 사람이 학습 데이터를 만들어야하므로 사람의 노력이 많이 필요한 단점이 있지만 양질의 데이터를 사용하는 만큼 고성능의 관계추출 모델을 만들기 용이하다. 원격지도 학습은 사람의 노력을 필요로 하지 않고 학습 데이터를 만들 수 있지만 데이터의 질이 떨어지는 만큼 높은 관계추출 모델의 성능을 기대하기 어렵다. 본 연구는 기계학습을 통해 관계추출 모델을 훈련하는데 있어 지도 학습과 원격지도 학습이 가지는 단점을 서로 보완하여 타협점을 제시하는 학습 방법을 제안한다.

• Korean Journal of Remote Sensing
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• v.19 no.5
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• pp.393-402
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• 2003

In times of the civil uses of commercialized high-resolution satellite imagery, applications of remote sensing have been widely extended to the new fields or the problem solving beyond traditional application domains. Transportation application of this sensor data, related to the automatic or semiautomatic road extraction, is regarded as one of the important issues in uses of remote sensing imagery. Related to these trends, this study focuses on automatic road extraction using Gradient Direction Profile Algorithm (GDPA) scheme, with IKONOS panchromatic imagery having 1 meter resolution. For this, the GDPA scheme and its main modules were reviewed with processing steps and implemented as a prototype software. Using the extracted bi-level image and ground truth coming from actual GIS layer, overall accuracy evaluation and ranking error-assessment were performed. As the processed results, road information can be automatically extracted; by the way, it is pointed out that some user-defined variables should be carefully determined in using high-resolution satellite imagery in the dense or low contrast areas. While, the GDPA method needs additional processing, because direct results using this method do not produce high overall accuracy or ranking value. The main advantage of the GDPA scheme on road features extraction can be noted as its performance and further applicability. This experiment study can be extended into practical application fields related to remote sensing.

• Korean Journal of Radiology
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• v.2 no.3
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• pp.121-131
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• 2001

Echocardiography and catheterization angiography suffer certain limitations in the evaluation of congenital heart diseases in adults, though these are overcome by MRI, in which a wide field-of view, unlimited multiplanar imaging capability and three-dimensional contrast-enhanced MR angiography techniques are used. In adults, recently introduced fast imaging techniques provide cardiac MR images of sufficient quality and with less artifacts. Ventricular volume, ejection fraction, and vascular flow measurements, including pressure gradients and pulmonary-to-systemic flow ratio, can be calculated or obtained using fast cine MRI, phase-contrast MR flow-velocity mapping, and semiautomatic analysis software. MRI is superior to echocardiography in diagnosing partial anomalous pulmonary venous connection, unroofed coronary sinus, anomalies of the pulmonary arteries, aorta and systemic veins, complex heart diseases, and postsurgical sequelae. Biventricular function is reliably evaluated with cine MRI after repair of tetralogy of Fallot, and Senning's and Mustard's operations. MRI has an important and growing role in the morphologic and functional assessment of congenital heart diseases in adolescents and adults.

• 제어로봇시스템학회:학술대회논문집
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• 1991.10b
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• pp.1705-1711
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• 1991

On-line fault detection and diagnosis has an increasing interest in a chemical process industry, especially for a process control and automation. The chemical process needs an intelligent operation-aided workstation which can do such tasks as process monitoring, fault detection, fault diagnosis and action guidance in semiautomatic mode. These tasks can increase the performance of a process operation and give merits in economics, safety and reliability. Aiming these tasks, series of researches have been done in our lab. Main results from these researches are building appropriate knowledge representation models and a diagnosis mechanism for fault detection and diagnosis in a chemical process. The knowledge representation schemes developed in our previous research, the symptom tree model and the fault-consequence digraph, showed the effectiveness and the usefulness in a real-time application, of the process diagnosis, especially in large and complex plants. However in our previous approach, the diagnosis speed is its demerit in spite of its merits of high resolution, mainly due to using two knowledge models complementarily. In our current study, new knowledge representation scheme is developed which integrates the previous two knowledge models, the symptom tree and the fault-consequence digraph, into one. This new model is constructed using a material balance, energy balance, momentum balance and equipment constraints. Controller related constraints are included in this new model, which possesses merits of the two previous models. This new integrated model will be tested and verified by the real-time application in a BTX process or a crude unit process. The reliability and flexibility will be greatly enhanced compared to the previous model in spite of the low diagnosis speed. Nexpert Object for the expert system shell and SUN4 workstation for the hardware platform are used. TCP/IP for a communication protocol and interfacing to a dynamic simulator, SPEEDUP, for a dynamic data generation are being studied.

• Imaging Science in Dentistry
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• v.43 no.3
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• pp.163-169
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• 2013

Purpose: Tonsilloliths are calcifications found in the crypts of the palatal tonsils and can be detected on routine panoramic examinations. This study was performed to highlight the benefits of cone-beam computed tomography (CBCT) in the diagnosis of tonsilloliths appearing bilaterally on panoramic radiographs. Materials and Methods: The sample group consisted of 7 patients who had bilateral radiopaque lesions at the area of the ascending ramus on panoramic radiographs. CBCT images for every patient were obtained from both sides of the jaw to determine the exact locations of the lesions and to rule out other calcifications. The calcifications were evaluated on the CBCT images using Ez3D2009 software. Additionally, the obtained images in DICOM format were transferred to ITK SNAP 2.4.0 pc software for semiautomatic segmentation. Segmentation was performed using contrast differences between the soft tissues and calcifications on grayscale images, and the volume in mm3 of the segmented three dimensional models were obtained. Results: CBCT scans revealed that what appeared on panoramic radiographs as bilateral images were in fact unilateral lesions in 2 cases. The total volume of the calcifications ranged from 7.92 to $302.5mm^3$. The patients with bilaterally multiple and large calcifications were found to be symptomatic. Conclusion: The cases provided the evidence that tonsilloliths should be considered in the differential diagnosis of radiopaque masses involving the mandibular ramus, and they highlight the need for a CBCT scan to differentiate pseudo- or ghost images from true bilateral pathologies.

• Journal of Internet Computing and Services
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• v.6 no.3
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• pp.129-145
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• 2005

This paper proposes the web information extraction system that extracts the pre-defined information automatically from web documents (i.e, HTML documents) and integrates the extracted information, The system recognizes entities without lables by the probabilistic based entity recognition method and extends the existing domain knowledge semiautomatically by using the extracted data, Moreover, the system extracts the sub-linked information linked to the basic page and integrates the similar results extracted from heterogeneous sources, The experimental result shows that the system extracts the sub-linked information and uses the probabilistic based entity recognition enhances the precision significantly against the system using only the domain knowledge, Moreover, the presented system can the more various information precisely due to applying the system with flexibleness according to domains, Because bath the semiautomatic domain knowledge expansion and the probabilistic based entity recognition improve the quality of the information, the system can increase the degree of user satisfaction at its maximum. Thus, this system can satisfy the intellectual curiosity of users from movie sites, performance sites, and dining room sites, We can construct various comparison shopping mall and contribute the revitalization of e-business.

• Journal of KIISE:Software and Applications
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• v.27 no.3
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• pp.266-274
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• 2000

Medical image segmentation, which is essential in diagnosis and 3D reconstruction, is performed manually in most applications to produce accurate results. However, manual segmentation requires lots of time to segment, and is difficult even for the same operator to reproduce the same segmentation results for a region. To overcome such limitations, we propose a convenient and accurate semiautomatic segmentation method. The proposed method initially receives several control points of an ROI(Region of Interest Region) from a human operator, and then finds a boundary composed of a minimum cost path connecting the control points, which is the Live-wire method. Next, the boundary is modified to overcome limitations of the Live-wire, such as a zig-zag boundary and erosion of an ROI. Finally, the region is segmented by SRG(Seeded Region Growing), where the modified boundary acts as a blockage to prevent leakage. The proposed User-steered balloon method can overcome not only the limitations of the Live-wire but also the leakage problem of the SRG. Segmentation results of thigh muscles of the Visible Human are presented.

• Journal of Korean Library and Information Science Society
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• v.47 no.4
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• pp.289-307
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• 2016

This paper introduces a software system and process model for constructing domain-specific relation extraction datasets semi-automatically. The system uses a set of terms such as genes, proteins diseases and so forth as inputs and then by exploiting massive biological interaction database, generates a set of term pairs which are utilized as queries for retrieving sentences containing the pairs from scientific databases. To assess the usefulness of the proposed system, this paper applies it into constructing a genic interaction dataset related to Alzheimer's disease domain, which extracts 3,510 interaction-related sentences by using 140 gene names in the area. In conclusion, the resulting outputs of the case study performed in this paper indicate the fact that the system and process could highly boost the efficiency of the dataset construction in various subfields of biomedical research.