• Journal of Korean Society of Transportation
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• v.27 no.6
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• pp.129-137
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• 2009

Operation of intelligent transport systems technologies in transportation networks and more detailed analysis give rise to necessity of dynamic traffic analysis model. Existing static models describe network state in average. on the contrary, dynamic traffic analysis model can describe the time-dependent network state. In this study, a dynamic traffic model for the expressway system using FTMS data is developed. Time-dependent origin-destination trip tables for nationwide expressway network are constructed using TCS data. Computation complexity is critical issue in modeling nationwide network for dynamic simulation. A subarea analysis model is developed which converts the nationwide O-D trip tables into subarea O-D trip tables. The applicability of the proposed model is tested under various scenario. This study can be viewed as a starting point of developing deployable dynamic traffic analysis model. The proposed model needs to be expanded to include arterial as well without critical computation burden.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.26 no.12
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• pp.1072-1082
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• 2015

In this paper, we propose two noise parameter measurement methods using spectrum analyzer. First method, we measure a noise correlation matrix using the 6-port network, and we calculate noise parameters using measured a noise correlation matrix. Second method, we directly measure noise figures of the DUT for source impedance changes, and then noise parameters are extracted from the measured noise figures. In order to measure a noise figure, we present a method of measuring a noise figure of the DUT that have arbitrary source impedances using spectrum analyzer and a method of eliminating a noise effect of a impedance tuner. Finally, the noise parameters of a passive and active DUT using proposed two methods are compared. The comparison shows that the two results obtained from for the two methods give almost identical noise parameters. The noise parameters measured by 6-port network accurately predict measured noise figures of the DUT for source impedance changes, and noise parameters measured by 6-port network is verified from the comparison.

• Journal of Environmental Policy
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• v.13 no.2
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• pp.39-63
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• 2014

This article aims to explore the connectivity and centrality between environment law and spatial law, where make implications in environmental planning. To achieve it, we used Network Analysis(NA) as a tool for analyzing the connectivities. 52 environmental Laws and 29 Spatial Laws are selected and used for this analysis. This study also attempts to explain the phenomenon through quantitative study rather than qualitative research. This paper is methodologically the first attempt to Environmental Law study, which will help to understand the structure of complex Environmental Law. The result of the network analysis for connectivity between Spatial Law and Environmental Law demonstrates that two laws are in less mutual relationship with each other. It also supports that Environmental Law and Spatial Law need to be closely connected with each other for effective environmental management.

• Journal of the Institute of Convergence Signal Processing
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• v.5 no.3
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• pp.190-197
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• 2004

This paper presents automated prediction of transient ischemic episodes using neural networks(NN) based pattern matching method. The learning algorithm used to train the multilayer networks is a modified backpropagation algorithm. The algorithm updates parameters of nonlinear function in a neuron as well as connecting weights between neurons to improve learning speed. The performance of the method was evaluated using ECG signals of the MIT/BIH long-term database. Experimental results for 15 records(237 ischemic episodes) show that the average sensitivity and specificity of ischemic episode prediction are 85.71% and 71.11%, respectively. It is also found that the proposed method predicts an average of 45.53［sec］ ahead real ischemia. These results indicate that the NN approach as the pattern matching classifier can be a useful tool for the prediction of transient ischemic episodes.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.26 no.5
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• pp.1305-1311
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• 2016

The smart factory, a combination of ICT technology to the entire production process of a product, means can you intelligent factory is to achieve such reduction and process improvement of the production cost. To implement the smart factory, inevitably must have an internal equipment connections to the external network, this is by equipment which is operated by the existing closure network is exposed to the outside network, the security vulnerability so that gender is increased. In order to solve this problem, it is possible to apply security solutions that are used in normal environments. However, it is impossible to have just completely blocking security threats that can occur in a smart factory network. Further, considering the economic damage that can occur during security breach accident, which cannot be not a serious problem. Therefore, in this paper, a look to know the security measures that can be applied to smart factory, to introduce the main fusion security technology necessary to smart factory dedicated security gateway.

• The Journal of the Korea Contents Association
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• v.21 no.6
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• pp.197-206
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• 2021

This study examined the networked structure and message types of newspapers advertisements in which universities have put in Daegu and Gyeongbuk provinces in Korea. Data were collected from July to September in 2020. As a result, universities preferred newspapers located in Daegu and Pohang areas. Next, universities have emphasized their cooperations with industries, basic competency capacities, and specialization programs in the advertising messages. When analyzing the findings in terms of university level, key words related to mid- to long-term development plans often appeared in the four-year schools. On the other hand, two or three-year universities frequently used an appeal that emphasized tangible performances. The findings showed the way in which the direction of university newspaper advertisements have been set in line with the rapidly changing environment.

• Journal of Internet Computing and Services
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• v.20 no.5
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• pp.1-8
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• 2019

This paper carried out a study to reduce damage from jellyfish whose population has increased due to global warming. The emergence of jellyfish on the beach could result in casualties from jellyfish stings and economic losses from closures. This paper confirmed from the preceding studies that the pattern of jellyfish's appearance is predictable through machine learning. This paper is an extension of The prediction model of emergence of Busan coastal jellyfish using SVM. In this paper, we used deep neural network to expand from the existing methods of predicting the existence of jellyfish to the classification by index. Due to the limitations of the small amount of data collected, the 84.57% prediction accuracy limit was sought to be resolved through data expansion using bootstraping. The expanded data showed about 7% higher performance than the original data, and about 6% better performance compared to the transfer learning. Finally, we used the test data to confirm the prediction performance of jellyfish appearance. As a result, although it has been confirmed that jellyfish emergence binary classification can be predicted with high accuracy, predictions through indexation have not produced meaningful results.

• The Journal of the Convergence on Culture Technology
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• v.8 no.3
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• pp.367-375
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• 2022

Given the growing changes in media environment and cultural consumption, globally popular contents of Korean Wave(Hallyu) has also been transformed in its forms and genres. Moreover, extant research on Hallyu has focused on any single respective genre, mostly on East-Asian countries, or studied from Korea-centered perspective. This study examined the social capital effect of Korean Wave in users' own counties, especially in non-English European societies. Survey analysis results reveal that both narrative and non-narrative contents in Hallyu had negative impact on social trust and trust toward people of their own country, whereas positive effect on trust toward Koreans. In contrast, K-pop Hallyu showed positive effect on all types of social trust toward their own country and Koreans, as well as on social participation and bridging/bonding social networks.

• The KIPS Transactions:PartB
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• v.13B no.5 s.108
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• pp.561-568
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• 2006

WPS(Wearable Personal Station) for next generation PC can define as a core terminal of 'Ubiquitous Computing' that include information processing and network function and overcome spatial limitation in acquisition of new information. As a way to acquire significant dynamic gesture data of user from haptic devices, traditional gesture recognizer based on desktop-PC using wire communication module has several restrictions such as conditionality on space, complexity between transmission mediums(cable elements), limitation of motion and incommodiousness on use. Accordingly, in this paper, in order to overcome these problems, we implement hand gesture recognition system using fuzzy algorithm and neural network for Post PC(the embedded-ubiquitous environment using blue-tooth module and WPS). Also, we propose most efficient and reasonable hand gesture recognition interface for Post PC through evaluation and analysis of performance about each gesture recognition system. The proposed gesture recognition system consists of three modules: 1) gesture input module that processes motion of dynamic hand to input data 2) Relational Database Management System(hereafter, RDBMS) module to segment significant gestures from input data and 3) 2 each different recognition modulo: fuzzy max-min and neural network recognition module to recognize significant gesture of continuous / dynamic gestures. Experimental result shows the average recognition rate of 98.8% in fuzzy min-nin module and 96.7% in neural network recognition module about significantly dynamic gestures.

• Journal of Korean Classical Literature and Education
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• no.35
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• pp.87-122
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• 2017

1) The passage "Sila seongdae so-seongdae cheonha daepyeong nahu-deog (新羅盛(聖)代 昭盛代 天下大平 羅侯德)" of the Korean Dynasty , corresponds to the primary passage of Cheonyong Rang Manghaesa(처용랑 망해사)>. These passages are ironic expressions of King Heongang's reign. This passage can therefore be interpreted as having the meaning of "People talk about King Heongang who ruined the kingdom. The bright politics of Silla's loyalty is the virtue of King Heongang." 2) "Cheoyong aba isi insaeng-ae sangbuleo hasilandae isi insaeng-ae samjaepalnan-i ilsi somyeol hasyatda (處容 아바 以是人生애 相(常)不語시란 以是人生애 相(常)不語시란 三災八難이 一時消滅샷다)." This was said by Cheoyong(처용), who was unable to reveal his anger while witnessing his wife being raped by Yuk-sin(疫神). This passage means, "Father Cheoyong(처용), in this world if a man does not express anger about the absurdity of the world, he can escape from catastrophe," or, "Father Cheoyong (처용), because in this world you had not expressed anger about the absurdity of world, you could escape from catastrophe." 3) In "maa-man maa-man haniyeo sibi jegug-i moda jiseo syeon aeu cheoyongbi-hal maa-man haniyeo (마아만 마아만 니여 十二諸國이 모다 지 셰온 아으 處容아비 마아만 니여)," the most likely interpretation of Maa is "마아(麻兒)," which means "scarecrow." In this way, this passage emphasizes that Cheyong(처용) is not a scarecrow, but a representative of the eyes of all people in all kingdoms. 4) In "meoja oeyaja logliya ppallina nae singohal maeyara (머자외야자 綠李야 리나 내 신고 야라", meoja (머자) is the double arranging shape of meotda(멎다), and oeyaja(외야자) is the double arranging shape of oeda(외다); those characters mean "ugly" and "wrong for each other." Additionally, Rokri(綠李) can be regarded as an administrator in blue or black clothes who is performing an errand of the yuksin(疫神).