• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.34 no.4
• /
• pp.285-302
• /
• 2023

Based on this study, the research trends were identified for the field of public libraries in Korea by utilizing the keyword network analysis. For 20 years from 2003 to 2022, a total of 752 papers related to the public libraries published in the four largest academic journals in the field of library and information science in Korea were analyzed. The research results are as follows. First, from 2003 to 2022, an annual average of 37.6 papers were published, demonstrating a pattern of repeated rise and fall. Second, the keywords of 'service' and 'culture' were identified as the most discussed keywords as they were found to be among the top five in terms of the frequency of occurrence, connection centrality, and the mediation centrality analysis results. Third, in terms of the results of analyzing the co-occurrence frequency of keyword pairs, attention was paid to the keyword pairs of education-program, service-user, service-children, and service-disability.

• Journal of the Korean Society for information Management
• /
• v.20 no.3
• /
• pp.277-297
• /
• 2003

This study was conducted upon the premise that index terms display the intellectual structure of a specific subject field. In this study, and attempt was made to grasp the intellectual structure of Library and Information. Science by clustering the index terms of the journals of the related academic societies at the Library of National Assembly - such as the Journal of the Korean Society for Information Management, the Journal of the Korean Library and Information Science Society, and the Journal of the Korean Society for Library and Information Science. Through the course of the study, index term clusters were generated based on the linkage of the index terms and the frequency of co-occurrence, and moreover, time periods analysis was conducted along with studies on first-appearing terms, in order to clarify the trend and development process of the Library and Information Science. This study also analysed the difference between two intellectual structure by comparing the structure generated by index term clusters with the existing structure of traditional classification systems.

• Journal of Science and Technology Studies
• /
• v.15 no.1
• /
• pp.45-67
• /
• 2015

This essay aims to search for the reason of why, even after Fukushima nuclear disaster, Korean citizens did not try to seek out the possibility of another energy option. Firstly, we single two counter-concepts, the configuration of risk communication and scientific citizenship, out from the measure of frequency of co-occurrence key-terms and the analysis of survey on the citizens' scientific perception each. Secondly, we try to interpret the meaning of qualitative data, and finally, we draw out the result as follow. Korean government have driven out the pro-nuclear policy, and in this course have made full use of the discourse of there-is-no-alternative-option. We need to take an attention to the reason of why the discourse can circulate freely in society. From one data, we find out that the configuration of risk communication guarantee government's success. But we also should look at the another side, the scientific citizenship. From another data, we find out that the upstream scientific citizenship, the momentum of preparing alternative, has not been mature, and it is reason of why the discourse have an strong influence.

• The KIPS Transactions:PartB
• /
• v.17B no.3
• /
• pp.197-206
• /
• 2010

High-quality and low-price digital printing devices are nowadays abused to print or forge official documents and bills. Identifying color laser printers will be a step for media forensics. This paper presents a new method to identify color laser printers with printed color images. Since different printer companies use different manufactural systems, printed documents from different printers have little difference in visual. Analyzing this artifact, we can identify the color laser printers. First, high-frequency components of images are extracted from original images with discrete wavelet transform. After calculating the gray-level co-occurrence matrix of the components, we extract some statistical features. Then, these features are applied to train and classify the support vector machine for identifying the color laser printer. In the experiment, total 2,597 images of 7 printers (HP, Canon, Xerox DCC400, Xerox DCC450, Xerox DCC5560, Xerox DCC6540, Konica), are tested to classify the color laser printer. The results prove that the presented identification method performs well with 96.9% accuracy.

• Journal of the Korean Society for information Management
• /
• v.38 no.2
• /
• pp.153-172
• /
• 2021

This study is to create a deep learning based classification model to examine the characteristics of panic disorder and to classify the panic disorder tendency literature by the panic disorder corpus constructed for the present study. For this purpose, 5,884 documents of the panic disorder corpus collected from social media were directly annotated based on the mental disease diagnosis manual and were classified into panic disorder-prone and non-panic-disorder documents. Then, TF-IDF scores were calculated and word co-occurrence analysis was performed to analyze the lexical characteristics of the corpus. In addition, the co-occurrence between the symptom frequency measurement and the annotated symptom was calculated to analyze the characteristics of panic disorder symptoms and the relationship between symptoms. We also conducted the performance evaluation for a deep learning based classification model. Three pre-trained models, BERT multi-lingual, KoBERT, and KcBERT, were adopted for classification model, and KcBERT showed the best performance among them. This study demonstrated that it can help early diagnosis and treatment of people suffering from related symptoms by examining the characteristics of panic disorder and expand the field of mental illness research to social media.

• The Transactions of the Korean Institute of Power Electronics
• /
• v.26 no.4
• /
• pp.271-276
• /
• 2021

Arc fault detector based on multilevel DWT with analysis of high-frequency noise components over 100 kHz is proposed in this study to improve the performance in detecting serial arcs and distinguishing them from inverter noise in PV systems. PV inverters generally operate at a frequency range of 20-50 kHz for switching operation and maximum power tracking control, and the effect of these frequency components on the signal for arc detection leads to negative arc detection. High-speed ADC and multilevel DWT are used in this study to analyze frequency components above 100 kHz. Such high frequency components are less influenced by inverter noise and utilized to detect as well as separate DC series arc from inverter noise. Arc detectors identify the input current of PV inverters using a Rogowski coil. The sensed signal is filtered, amplified, and used in 800kSPS ADC and DWT analysis and arc occurrence determination in DSP. An arc detection simulation facility in UL1699B was constructed and AFD tests the proposed detector were conducted to verify the performance of arc detection and performance of distinction of the negative arc. The satisfactory performance of the arc detector meets the standard of arc detection and extinguishing time of UL1699B with an arc detection time of approximately 0.11 seconds.

• Journal of the Korea Computer Industry Society
• /
• v.4 no.10
• /
• pp.587-598
• /
• 2003

This paper construct two-level word similarity relation matrices about title and to scientific treatise. As guide keyword similarity relation matrices which is constructed to co-occurrence frequency base same time keeps recall rater by query expansion by tolerance relation, it is index structure to improve the precision rate by two-level contents base retrieval. Therefore, draw area knowledge through subject analysis and reasoned user's information request and area knowledge to fuzzy logic base. This research is research to improve vocabulary mismatch problem and information expression having essentially on query.

• The Transactions of the Korean Institute of Electrical Engineers D
• /
• v.54 no.8
• /
• pp.501-503
• /
• 2005

In this paper, using ranks of co-occurrence frequency about indices in pairs of neighboring pixels, we introduce a new re-indexing algorithm for efficiency of index color image lossless compression. The proposed algorithm is suitable for arithmetic coding because it has concentrated distributions of small variance. Experimental results proved that the proposed algorithm reduces the bit rates than other coding schemes, more specifically $15\%$, $54\%$ and $12\%$ for LZW algorithm of GIF, the plain arithmetic coding method and Zeng's scheme, respectively.

• Proceedings of the KIEE Conference
• /
• 2005.05a
• /
• pp.164-166
• /
• 2005

In this paper, using ranks of co-occurrence frequency about indices in neighboring pixels, we introduce a new re-indexing scheme for efficiency of index color image lossless compression. The proposed method is suitable for arithmetic coding because it has skewed distributions of small variance. Experimental results proved that the proposed method reduces the bit rates than other coding schemes, more specifically 15%, 54% and 12% for LZW algorithm of GIF, the plain arithmetic coding method and Zeng's scheme.

• Proceedings of the KIEE Conference
• /
• 1996.07c
• /
• pp.1882-1884
• /
• 1996

This paper deals with the lightning surge counter. In order to install the effective surge protective devices, it is important to find the parameters of incident surges. For the purpose of observing the occurrence frequency as a parameter of the amplitude of surge, two type surge counters were designed and fabricated. One is operated by surge currents, and the other is operated by surge voltages. The former consists of current sensor, metal oxide varister (MOV), rectifier, capacitor and electromagnetic counter. The latter consists of rectifier, voltage divider, comparator, photo coupler and counter circuit, and is useful for detecting the surge voltages.