• Journal of the Korea Convergence Society
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• v.13 no.2
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• pp.13-20
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• 2022

This study is to develop a named entity recognition model specialized in criminal investigation domains using deep learning techniques. Through this study, we propose a system that can contribute to analysis of crime for prevention and investigation using data analysis techniques in the future by automatically extracting and categorizing crime-related information from text-based data such as criminal judgments and investigation documents. For this study, the criminal investigation domain text was collected and the required entity name was newly defined from the perspective of criminal analysis. In addition, the proposed model applying KoELECTRA, a pre-trained language model that has recently shown high performance in natural language processing, shows performance of micro average(referred to as micro avg) F1-score 98% and macro average(referred to as macro avg) F1-score 95% in 9 main categories of crime domain NER experiment data, and micro avg F1-score 98% and macro avg F1-score 62% in 56 sub categories. The proposed model is analyzed from the perspective of future improvement and utilization.

• Korean Journal of Clinical Laboratory Science
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• v.42 no.1
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• pp.55-61
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• 2010

This investigation has been carried out for the purpose of the examination of current Gwangju and Jeonnam clinical pathology students' recognition of their departments and of effective employment guidance. Furthermore, it has examined the students' recognition on two sides; namely, their satisfaction with their own departments and their recognition of the employment of medical technologists. This investigation, with 389 students as its subjects from the clinical pathology departments at 4 universities in the Gwangju-Jeonnam Region, has compared and analyzed the data from the survey with a questionnaire from November 2008 to June 2009 by using the SPSS 12.0 package. Some of the remarkable results from the yielded data are as follows. As for the motivation for their application to the clinical pathology departments, the investigation of the students' satisfaction with their departments has revealed that 47.5% of the subjects indicated recommendation from friends or acquaintances while 22.1% reported that they had been informed of the departments through Internet. 70.4% of the subjects graduated from general high schools, 22.3% from commercial high schools, and 6.2% from technical high schools. Applicants from general high schools tend to decrease in number every year. 28.5% of the students judged professor's capability of lecture as an important part of their acquisition of licenses, and more than 65.6% of the subjects acknowledged the necessity of their self-study at night for the acquisition of license. As for the future prospect of the occupation of clinical technologist, 46.8% of the students replied that it was promising, while 39.1% reported that they had no ideas. From this we can confirm that the students of clinical pathology lacked a viewpoint of occupation and goals for future jobs. The investigation of the students'recognition of the employment of clinical technologists has revealed that 47.8% of them wanted to be employed in the Seoul-Gyeonggi Region due to the properties of their local universities, 29.0% of themlogpecteties of monesly salary to be 1,200,000~1,300,000 won, while 22.4% 1,300,000~1,400,000 won. These fiemres indicated that these students' salary ogpectations were relativplo lower than those from cities ertiprovinces. As for the greatest difficulty after employment, 31.1% of the subjects indicated the confliction among employees from variouatiolleges, 27.3% uncertainty of duties related to es of major, 24.9% bmrdens of self-development.

• KIEAE Journal
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• v.3 no.2
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• pp.25-32
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• 2003

This study deals with the investigation of recognition structure on architectural environment and reconstruction of it by artificial intelligence. To test the possibility of the reconstruction, recognition structure on architectural environment is analysed and each steps of the structure are matched with computational methods. Edge Detection and Neural Network were selected as matching methods to each steps of recognition process. Visual perception system established by selected methods is trained and tested, and the result of the system is compared with that of experiment of human. Assuming that the artificial system resembles the process of human recognition on architectural environment, does the system give similar response of human? The result shows that it is possible to establish artificial visual perception system giving similar response with that of human when it models after the recognition structure and process of human.

• IEMEK Journal of Embedded Systems and Applications
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• v.8 no.4
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• pp.219-225
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• 2013

This paper presents a method using Maximum-Likelihood Linear Regression (MLLR) adaptation to improve recognition performance of Limabeam algorithm for speech recognition using microphone array. From our investigation on Limabeam algorithm, we can see that the performance of filtering optimization depends strongly on the supporting optimal state sequence and this sequence is created by using Viterbi algorithm trained with HMM model. So we propose an approach using MLLR adaptation for the recognition of speech uttered in a new environment to obtain better optimal state sequence that support for the filtering parameters' optimal step. Experimental results show that the system embedded with MLLR adaptation presents the word correct recognition rate 2% higher than that of original calibrate Limabeam and also present 7% higher than that of Delay and Sum algorithm. The best recognition accuracy of 89.4% is obtained when we use 4 microphones with 5 utterances for adaptation.

• Proceedings of the Korean Society for the Gifted Conference
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• 2001.11a
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• pp.191-192
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• 2001

• Korean Journal of Adult Nursing
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• v.26 no.5
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• pp.522-532
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• 2014

Purpose: This study's purpose is to classify and analyze caregivers' recognition of the elderly suicidal intents. Methods: This study uses applied Q-methodology to measure human subjectivity in depth. Concretely, 35 statements are composed in depth interviews and literature investigation. Then, Q-cards and distributive chart of Q-sampling were given to 25 caregivers randomly-selected, who were asked to arrange them on a 7-score based. After coding Q-factor analysis is carried out with the PC-QUANL program. Results: Four types of indicators of the elderly suicidal intents were identified by the caregivers. These are Knowledge-based recognition, Behavioral measure based recognition, Negative comprehension and Sympathy. Conclusion: In this study, four types of recognition were yielded among the caregivers and the characteristics of each type were analyzed. These findings may be useful in assessing suicidal potential and nursing interventions.

• The Journal of Korean Society for School & Community Health Education
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• v.7
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• pp.51-58
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• 2006

Background & Objectives: This study investigates the recognition on the necessity of the use of radiation for both college students who are considered that they have a high knowledge level in radiation and proposes basic materials to change the recognition of the use of radiation. Also, the investigation was applied to average people who showed the most negative attitudes on radiation. Methods: A questionnaire was applied to 600 college students for five days from October 10 to 15, 2005 and used in statistical analysis. Results: The average value obtained in the recognition of the use of radiation was 76.60 points in which male respondents who were majored in natural science, health, and engineering department and respondents who have experienced radiation related education, radiation diagnosis, and radiation treatment demonstrated higher levels. Also, the average value obtained in the recognition of the radiation damage was 71.66 points in which respondents who were majored in natural sciences, humanities, engineering, and health department showed higher levels than that of respondents who were majored in art and physical department. Groups that exhibited higher recognition levels in the necessity of the use of radiation were male respondents and respondents who were majored in natural science, humanities, and health department and have experienced radiation diagnosis and radiation treatment. In the results of the correlation analysis on the necessity of the use of radiation and recognition of radiation damages, the recognition of radiation damages was presented as negative attitudes in the case of the higher recognition level in the necessity of the use of radiation. Conclusions: Regarding the frequency of the use of radiation in Korea, a 80.9% of university students who showed a high education level had no experiences in radiation related education. Although they showed a relatively high level of 76.6 points in the recognition level of the necessity of the use of radiation, the negative attitude on the radiation damage was also presented as a high level of 71.7 points. Because the providing chance of radiation related information was limited as compared to the atomic power used in Korea and dependancy of the use of radiation, it is necessary to provide the basic information related in the use of radiation to the public. In addition, various investigations on the use of radiation and such negative attitudes are required in future for the public. Also, the correct information of the radiation safety should be delivered to the public.

• Fire Science and Engineering
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• v.18 no.3
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• pp.25-29
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• 2004

The purpose of this study is to supply basis data that can improve the recognition of Daegu citizens on fire safety through the investigation of their recognition on fire safety. To achieve the purpose, 553 Daegu citizens in Daegu city were interviewed from Oct. 2 to 15, 2003. The results of this study are as follows; Citizens had thought little the recognition of our society on fire safety and Daegu subway fire accident caused very big effect in citizens' fire safety recognition. Citizens did not trust about fire fighting facilities that is established in the building. Method to elevate recognition for citizens' fire safety recognition appeared by TV, newspaper, etc public information reinforcement (30.7%), establishment and operation of the fire safety experience center (24.6%), fire safety education reinforcement in school (20.8%).

• Journal of Electrical Engineering and Technology
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• v.2 no.1
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• pp.118-122
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• 2007

In this work, experimental investigation is carried out in order to design and fabricate the UHF sensor that is able to detect the partial discharges produced from 10 artificial defects introduced into the real scale 70kV GIS mock-up under high voltage within a well shielded room. As well, in order to verify the on-site applicability of our method, the newly proposed CAPD (chaos analysis of partial discharge) is combined with spectral analysis for identifying the nature of 10 artificial defects under investigation. The PD pattern recognition of each defect has been fulfilled by applying our ANN software. The result indicates that the recognition rate reaches up to 80% by the newly proposed method while the traditional PRPD analysis method allows us to obtain 41%. In consequence, it can be pointed out that the proposed method seems likely to be applicable to the real GIS at the site.

• Journal of the Korean Society for information Management
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• v.27 no.3
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• pp.189-206
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• 2010

This research analysed 73 samples to find out the recognition of librarians working in domestic public libraries from the information user's views. This research analyzed public library user's usual recognition level of librarian's work attitude, qualification, and service lever based of group of gender. For this, this research stands on the basis of previous researches and 3 types of modified questionnaire; recognition level of librarian's work attitude, recognition level of librarian's qualification, and recognition level of communication between librarians and information users using on nominal scale and interval scale. The research's result showed study outcome of librarian's work attitude was generally low with the mean of 2.81. Second, librarian's qualification of being a specialist was low with the mean of 2.84. Lastly, satisfaction of communication service level between information users and librarians was low with the mean of 2.89. Male and Female groups showed the difference of acknowledgement between each questions.