• Journal of The Korean Society of Integrative Medicine
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• v.11 no.2
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• pp.37-47
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• 2023

Purpose : This study aimed to identify factors that influence selection of occupational therapy as a college major by freshmen. Methods : A survey was conducted on 308 freshmen majoring in occupational therapy from March 2022 to September 2022. The questionnaire consisted of five items about general characteristics, two about the choice of college and major, three about the timing of major selection, three about information acquisition, and one about the university application process. Results : While choosing a university, 37% of the students primarily considered the available choice of majors, whereas 41% considered the college application period. Employment rate was another important factor that was considered when choosing a department. Most students learned about occupational therapy through research on physical therapy and primarily gathered information by searching on "Naver and blogs." Among the descriptions of occupational therapy, the most interesting keyword was "hospital" (54 %). Conclusion : This study investigated the factors that influenced the college major selection by new students in the department of occupational therapy. This study provides meaningful basic data that can be referred to when promoting the department of occupational therapy. A limitation of this study is that a high percentage of students from Gyeongnam were included, and hence, further research that investigates according to region is needed. Moreover, detailed investigations on factors related to university applications in each region are required. It is also necessary to investigate the relationship between the characteristics of freshmen and the determining factors of the department and the admission process.

• Korean Journal of Heritage: History & Science
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• v.49 no.1
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• pp.22-43
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• 2016

State Ownership of Excavated Cultural Heritage System was originated from the legislations concerning cultural objects during the Japanese colonial period (1910~1945) and was succeeded by the present Buried Cultural Properties Act enacted in 2011. Despite the importance of the system that completes the outcomes of excavations and determines the state-owned cultural properties, the foundation of national heritage, it has been limitedly regarded as administrative area and neglected by the academic scholars or policy researchers. Recently the traditional culture has drawn increasing domestic interest and awareness that the cultural heritage contributes to building cultural identity and vitalizing tourism has led to increasing the demand of a local government's role in management of the state-designated cultural heritage and even fighting for hegemony in securing the cultural objects between the central and local governments. Despite the continuing efforts for improving the selection process of cultural heritage and its management institution, establishment of an advanced objective system has been requested. This paper is intended to suggest the policy direction through demonstrating the problem and assignment caused in the process of implementing the Buried Cultural Properties Act and reviews the State Ownership of Excavated Cultural Heritage System from the legal point of view accordingly. First, I suggest improving the selection process of the state-owned cultural properties. Even though current law states that Administrator of Cultural Heritage Administration reviews the research reports and selects the possible candidates for the state-owned cultural properties almost all the cultural objects listed on the reports are practically selected. In this regard, two possible resolutions can be made; newly establishing a separate process for selecting the state-owned cultural properties after publishing the report or adding the selection process of the state-owned cultural properties during the heritage selection meeting. Either way should contribute to strengthening the impartiality and objectivity of the policy. My second suggestion is improving the operating system of the heritage selection meeting in which the cultural properties to be listed on the reports are determined. Given the present extensive assessment criteria, there is much room for certain experts' subjective opinions. Therefore, in order to enhance the fairness and credibility of the heritage selection meeting, specifying the assessment criteria and advance review of the expert list are necessary. Third, this paper suggests increasing the local government's role in management of the state-owned cultural heritage and diversifying the heritage management institution. Development of a local self-governing system has led to the increased demand for delegating the authority of the state-owned heritage management to the local governments. Along with this, the gradual improvements of public museum management raises the need for expanding the cultural benefits through increasing the local government's role in management of the state-owned heritage. Considering the fact that overall majority of the art collections housed at national or public museums is owned by the central government, developing a variety of heritage contents and vitalizing the heritage tourism are crucial. The true meaning and value of the state-owned cultural heritage hidden at the storage of a museum can be found when they are shared together with the public.

• IE interfaces
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• v.15 no.3
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• pp.308-315
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• 2002

This study presents the web based cutting parameter selection system using Group Technology (GT). The GT is basically applied to classify and code the work material and cutting process which are main factors to affect cutting parameter selection. The proposed system has been designed to electronically select proper cutting conditions based on the stored GT database. The existing approaches used in most small and medium sized companies are basically to use manufacturing engineer's experience or to find the recommended values from the manufacturing engineers handbook. These processes are often time consuming and inconsistent, especially when a new engineer is involved. Consequently, the proposed system could automatically and consistently generate the proper cutting conditions (feed, depth of cut, and cutting speed) as soon as relatively simple data input is given thanks to the classified GT database.

• Language and Information
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• v.7 no.1
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• pp.41-54
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• 2003

According to Jeong Ho-seong (1999), Koreans use an average of only 20% of the 508,771 entries of the Korean standard unabridged dictionary. To establish MRD for natural language processing, it is necessary to select Korean lexical units that are used frequently and are considered as basic words. In this study, this selection process is done semi-automatically using the KAIST large corpus. Among about 220,000 morphemes extracted from the corpus of 40,000,000 eojeols, 50,637 morphemes (54,797 senses) are selected. In addition, the coverage of these morphemes in various texts is examined with two sub-corpora of different styles. The total coverage is 91.21 % in formal style and 93.24% in informal style. The coverage of 6,130 first degree morphemes is 73.64% and 81.45%, respectively.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2006.04a
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• pp.193-198
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• 2006

Among 242 Hyperion bands, there are 46 bands that contain completely no information and some other bands with various kinds of noise. It is mainly due to the atmosphenc absorption and the low signal-to-noise ratio. The visual inspection for selecting clean and stable bands is a simple practice, but is a manual, inefficient, and subjective Process. Though uncalibrated, overlapping, and all deep water absorption bands are removed, there still exist noisy bands. In this paper, we propose that the extrema ratio be measured for noise estimation and the unsupervised band selection be performed using the Expectation-Maximization algorithm. The Hyperion data were classified into 5 categories according to the image quality by visual inspection, and used as the reference data. The accuracy of the proposed method was compared with signal-to-noise ranking and entropy ranking. As a result, the proposed mettled was effective as preprocessing step for band selection.

• Journal of Plant Biotechnology
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• v.3 no.3
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• pp.113-121
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• 2001

The use of a marker gene in a transformation process aims to give a selective advantage to the transformed cells, allowing them to grow faster and better, and to kill the non-transformed cells. In general, the selective gene is introduced into plant genome along with the genes of interest. In some cases, the marker gene can be the gene of interest that will confer an agronomic characteristic, such as herbicide resistance. In this review we list and discuss the use of the most common selective marker genes on plant transformation and the effects of their respective selective agents. These genes could be divided in categories according their mode of action: genes that confer resistance to antibiotics and herbicides; and genes for positive selection. The contention of the marker gene flow through chloroplast transformation is further discussed. Moreover, strategies to recover marker-free transgenic plants, involving multi-auto-transformation (MAT), co-transformation, site specific recombination and intragenomic relocation of transgenes through transposable elements, are also reviewed.

• Korean Management Science Review
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• v.12 no.1
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• pp.35-50
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• 1995

The material handling equipment selection, that is a key task in the material handling system design, is a complex, difficult task, and requires a massive technical knowledge and systematic analysis. It is also invaluable to justify the selected equipment model by the performance evaluation before its actual implementation. This paper presents an intelligent knowledge-based expert system called "IMESE" created by author, for the selection and evaluation of material handling equipment model suitable for movement and storage of materials in a manufacturing facility. The IMESE was constructed by using the tools of VP-Expert expert system shell, DBASEIII plus, FORTRAN 77, and SLAMII simulation language. The whole process of IMESE is executed under VP-Expert expert system environment.vironment.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1995.04a
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• pp.79-90
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• 1995

The material handling equipment selection, that is a key task in the material handling system design, is a complex, difficult task, and requires a massive technical knowledge and systematic analysis. It is invaluable to justify the selected equipment model by the performance evaluation before its actual implementation. This paper presents an intelligent knowledge-based expert system called "IMESE" created by authors, for the selection and evaluation of material handling equipment model suitable for movement and storage of materials in a manufacturing facility. The IMESE is consisted of four modules: a knowledge base to select an appropriate equipment type, a multiple criteria decision making procedure to choose the most favorable commercial model of the selected equipment type, a database to store the list of commercial models of equipment types with their specifications, and simulators to evaluate the performance of the equipment model. The whole process of IMESE is executed under VP-Expert expert system environment.vironment.

• Journal of Information Technology Applications and Management
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• v.10 no.2
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• pp.19-31
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• 2003

We propose an indexing technique and an index selection algorithm for optimal OLAP query processing in object database systems, Although there are many research results on the relational database systems for OLAP Query processing, few researches have been done on the object database systems. Since OLAP queries represent complex business logic on a huge data ware-house, object database systems supporting the OLAP queries should have higher performance. Proposed bitmap index structure is an extension of conventional bitmap indexes for adapting object databases and provides higher performance with lower space overhead. We also propose a linear time solution of the index selection problem that will be used in the OLAP query optimization process.

• Journal of Korean Institute of Industrial Engineers
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• v.26 no.2
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• pp.165-170
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• 2000

In order to perform a successful material cutting process, the operators are to select the suitable machining tools and cutting conditions for the cutting environment. Up to now, this has been a complicated procedure done by the data in the tool manufacturers' paper catalog and the operator's experiencial knowledge, so called heuristics. This research is motivated by the fact that using computer techniques in processing vast amount of data and information, the operator can determine the tool and cutting condition easily. In the developed program, the selection of milling cutter, insert, and components are combined to provide optimal cutting speed, depth of cut, feed rate, rpm, and power. This program also provides the selection routine for end mill, drilling, turning, and grinding where the suitable tools are selected by workpiece, holder type, cut type, and insert shape.