• Journal of Korean Library and Information Science Society
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• v.53 no.3
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• pp.137-168
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• 2022

The purpose of this study is to suggest a plan for establishing SR (systematic review, hereinafter called SR) support services in domestic university libraries through a case study of SR support services in overseas university libraries. For this purpose, a total of 119 overseas university libraries were divided into all fields (subjects and disciplines) and the medical field. And A total of 10 areas such as service fields, service subjects, public relations, librarian roles (counselors, collaborators), education, librarian introduction, team member, application form, SR theoretical content, and others were divided and investigated. As a result, the SR support service of the university libraries being investigated is expanding from the medical field to academic fields such as natural science, engineering, and social science. It was confirmed that there were differences in service support hours, services, and whether co-authors were recognized according to the role of the librarian. Educational services are provided to users for the SR support service with a focus on retrieval strategy and skills. In the promotion of the SR support service, the librarian must suggest that it should be included. The importance of SR support services for Korean university libraries should be emphasized through the analysis of SR support services for overseas university libraries, professional search education should be strengthened in the curriculum. Also Organizations related to university libraries such as KERIS have suggested that systematic SR education support is needed for librarians.

• Journal of the Korean Society of Radiology
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• v.82 no.4
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• pp.1011-1017
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• 2021

Bone cement embolism often occurs during percutaneous vertebroplasty. Bone cement pulmonary arterial embolism generally requires no treatment because of the small size and asymptomatic manifestation. Intracardiac bone cement embolisms are rare but associated with a risk of severe complications. Intracardiac bone cement embolisms are mainly removed through open heart surgery. To the best of our knowledge, only three cases of intracardiac bone cement embolisms removed with interventions have been reported. Here, we report another case of successful transcatheter retrieval of a 6-cm-long cement embolism in the right atrium after percutaneous vertebroplasty. The embolus broke in half and migrated to the right pulmonary artery intraoperatively. Using two snares and a filter retrieval device, we advanced from opposite directions. Further, we gently grasped and pulled the fragments of the right pulmonary artery and aligned them in a linear fashion directly into the sheath for uneventful removal.

• Journal of Intelligence and Information Systems
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• v.19 no.3
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• pp.141-156
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• 2013

Social media is a representative form of the Web 2.0 that shapes the change of a user's information behavior by allowing users to produce their own contents without any expert skills. In particular, as a new communication medium, it has a profound impact on the social change by enabling users to communicate with the masses and acquaintances their opinions and thoughts. Social media data plays a significant role in an emerging Big Data arena. A variety of research areas such as social network analysis, opinion mining, and so on, therefore, have paid attention to discover meaningful information from vast amounts of data buried in social media. Social media has recently become main foci to the field of Information Retrieval and Text Mining because not only it produces massive unstructured textual data in real-time but also it serves as an influential channel for opinion leading. But most of the previous studies have adopted broad-brush and limited approaches. These approaches have made it difficult to find and analyze new information. To overcome these limitations, we developed a real-time Twitter trend mining system to capture the trend in real-time processing big stream datasets of Twitter. The system offers the functions of term co-occurrence retrieval, visualization of Twitter users by query, similarity calculation between two users, topic modeling to keep track of changes of topical trend, and mention-based user network analysis. In addition, we conducted a case study on the 2012 Korean presidential election. We collected 1,737,969 tweets which contain candidates' name and election on Twitter in Korea (http://www.twitter.com/) for one month in 2012 (October 1 to October 31). The case study shows that the system provides useful information and detects the trend of society effectively. The system also retrieves the list of terms co-occurred by given query terms. We compare the results of term co-occurrence retrieval by giving influential candidates' name, 'Geun Hae Park', 'Jae In Moon', and 'Chul Su Ahn' as query terms. General terms which are related to presidential election such as 'Presidential Election', 'Proclamation in Support', Public opinion poll' appear frequently. Also the results show specific terms that differentiate each candidate's feature such as 'Park Jung Hee' and 'Yuk Young Su' from the query 'Guen Hae Park', 'a single candidacy agreement' and 'Time of voting extension' from the query 'Jae In Moon' and 'a single candidacy agreement' and 'down contract' from the query 'Chul Su Ahn'. Our system not only extracts 10 topics along with related terms but also shows topics' dynamic changes over time by employing the multinomial Latent Dirichlet Allocation technique. Each topic can show one of two types of patterns-Rising tendency and Falling tendencydepending on the change of the probability distribution. To determine the relationship between topic trends in Twitter and social issues in the real world, we compare topic trends with related news articles. We are able to identify that Twitter can track the issue faster than the other media, newspapers. The user network in Twitter is different from those of other social media because of distinctive characteristics of making relationships in Twitter. Twitter users can make their relationships by exchanging mentions. We visualize and analyze mention based networks of 136,754 users. We put three candidates' name as query terms-Geun Hae Park', 'Jae In Moon', and 'Chul Su Ahn'. The results show that Twitter users mention all candidates' name regardless of their political tendencies. This case study discloses that Twitter could be an effective tool to detect and predict dynamic changes of social issues, and mention-based user networks could show different aspects of user behavior as a unique network that is uniquely found in Twitter.

• Journal of Korea Multimedia Society
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• v.13 no.5
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• pp.663-673
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• 2010

As a tool used for video maintenance, Video segmentation divides videos in hierarchical and structural manner. This technique can be considered as a core technique that can be applied commonly for various applications such as indexing, abstraction or retrieval. Conventional video segmentation used adaptive threshold to split video by calculating difference between consecutive frames and threshold value in window with fixed size. In this case, if the time difference between occurrences of cuts is less than the size of a window or there is much difference in neighbor feature, accurate detection is impossible. In this paper, Improved Adaptive threshold algorithm which enables determination of window size according to video format and reacts sensitively on change in neighbor feature is proposed to solve the problems above. Post-Processing method for decrement in error caused by camera flash and fast movement of large objects is applied. Evaluation result showed that there is 3.7% improvement in performance of detection compared to conventional method. In case of application of this method on modified video, the result showed 95.5% of reproducibility. Therefore, the proposed method is more accurated compared to conventional method and having reproducibility even in case of various modification of videos, it is applicable in various area as a video maintenance tool.

• Journal of Internet Computing and Services
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• v.3 no.1
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• pp.81-90
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• 2002

Large-scale distributed applications based on Internet and client/server applications have to deal with series of problems. Load balancing, unpredictable communication delays, and networking failures can be the example of the series of problems. Therefore. sophisticated applications such as teleconferencing, video-on-demand, and concurrent software engineering require an abstracted group communication, CORBA does not address these paradigms adequately. It mainly deals with point-to-point communication and does not support the development of reliable applications that include predictable behavior in distributed systems. In this paper, we present our design, implementation and performance analysis of the group communication using the CORBA-ORB. JAVA-RML and Socket based on distributed computing Performance analysis will be estimated latency-lime according to object increment, in case of group communication using ORB of CORBA the average is 14.5172msec, in case of group communication using RMI of Java the average is 21.4085msec, in case of group communication using socket the average is becoming 18.0714msec. Each group communication using multicast and UDP can be estimated 0.2735msec and 0.2157msec. The performance of the CORBA-ORB group communication is increased because of the increased object by the result of this research. This study can be applied to the fault-tolerant client/server system, group-ware. text retrieval system, and financial information systems.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.46 no.3
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• pp.112-118
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• 2009

Skin color segmentation techniques have been widely utilized for face/hand detection and tracking in many applications such as a diagnosis system using facial information, human-robot interaction, an image retrieval system. In case of a video image, it is common that the skin color model for a target is updated every frame for the robust target tracking against illumination change. As for a single image, however, most of studies employ a fixed skin color model which may result in low detection rate or high false positive errors. In this paper, we propose a novel method for effective skin color segmentation in a single image, which modifies the conditions for skin color segmentation iteratively by the image feedback of segmented skin color region in a given image.

• Journal of Korean Neurosurgical Society
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• v.63 no.1
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• pp.14-25
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• 2020

Proximal flow control achieved with a balloon guide catheter (BGC) during endovascular treatment of acute ischemic stroke is reviewed in this article. In clinical practice, BGCs offer a multi-faceted approach for clot retrieval by creating proximal flow arrest, reducing embolic burden, and shortening procedure time. Evaluation of frontline thrombectomy procedures with BGCs revealed advantages of combined use over the conventional guide catheter (CGC), notably in the significant reduction of distal emboli to both the affected and previously unaffected territories. Recently, new measures of early and complete reperfusion at first thrombectomy pass have been identified as independent predictors of improved outcomes, which were consistently demonstrated with use of BGC as a safe and effective option to minimize number of passes during intervention. Prior randomized controlled trials reported the positive correlation between BGC-treated patients and a lower risk of mortality as well as shortened procedure time. While BGC use is more common in stent retriever-mediated mechanical thrombectomy, preliminary data has shown the potential benefit of device application during contact aspiration thrombectomy to achieve successful recanalization. However, the question of which major endovascular strategy reigns superior as a frontline remains to be answered. Along with clinical case assessments, BGC performance during in-vitro simulation was analyzed to further understand mechanisms for optimization of thrombectomy technique.

• Journal of The Korean Association of Information Education
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• v.9 no.2
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• pp.257-270
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• 2005

Researchers of humane studies including philosophy acquire knowledge from understanding of their texts. They spent a lot time and efforts to retrieve, read and understand many texts relevant to their research fields using a metadata-based text retrieval system. In this paper, we develop a philosophy ontology that enables researchers to retrieve knowledge in the content of texts of philosophy. Our philosophy ontology includes concepts and their hierarchical and associative relationships defined by philosophy researchers. We propose a methodology for constructing text-based ontology comprised of three phases and fourteen steps. This methodology may be used to construct another ontologies for learning. Also, we introduce a case study for applying our philosophy ontology to acquire and interchange knowledge of philosophy between a professor and students during philosophy classes.

• Journal of the Korean Society for Library and Information Science
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• v.40 no.2
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• pp.103-123
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• 2006

Assuming that the knowledge creation and retrieval functions could be the most important factors for a successful knowledge management(KM) especially during the promotion stage of KM, this study suggests an e-learning application as one of best methods for producing knowledge and also the integrated knowledge repository model in which learning, knowledge. and information objects can be semantically associated through topic map-based knowledge map. The traditional KM system provides a simple directory-based knowledge map. which can not provide the semantic links between topics or objects. The proposed model can be utilized as a solution to solve the above-mentioned disadvantages of the traditional models. In order to collect the basic data for the proposed model, first, case studies utilizing interviews and surveys were conducted targeting at three Korean insurance companies' knowledge managers(or e-learning managers) and librarians. Second, the related studies and other topic map-based pilot systems were investigated.

• Journal of the Korean Society for Library and Information Science
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• v.47 no.2
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• pp.223-245
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• 2013

The purpose of this study is to analyze curriculum contents, teaching methods and evaluation methods for the core courses in Library & Information Science. It focuses on syllabi both of Korean and foreign universities, and compares them to figure out their own characteristics and differences. The study aims to contribute to the advancements of domestic Library & Information Science in regards to their curriculum contents and methods. To this end, we collected and analyzed the syllabi of Information Organization, Information & Reference Services, Information Retrieval and Management of Libraries, which are used in the foreign LIS departments. As results, we found some differences between curriculum contents, teaching methods and evaluation methods used by Korean and foreign universities. In teaching methods, especially, the classes in Korean universities used the forms of lecture, presents, examination, while classes in foreign universities used more various methods, such as workshop, project, developing system, simulation, case study, interviews with expert.