• The Korean Journal of Ecology
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• v.28 no.2
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• pp.79-83
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• 2005

We investigated the species richness of macrolepidoptera (including pyralid moths) in the evergreen broad-leaved forests of southwestern coast of Korea. The studied site was Mt. Duryunsan and its neighboring area, Haenam-gun, Jollanam-do and moths were identified and analyzed after collecting them with UV light traps from 2001 to 2004. A total number of species comprised 18 families and 489 species. We expected that the number of species would be increased when the species of microlepidoptera and butterflies were included. The family Noctuidae with 181 species was dominant in the area followed by Geometridae with 129 species and Pyralidae with 72 species. Based on number of collected individuals, Geometridae was the highest and followed by Noctuidae, Pyralidae and Drepanidae. Fifty-one percent of the total species consisted of less than two specimens in the collected sample. Monthly changes of numbers of species and individuals were examined and indices of Simpson's heterogeneity and evenness were also drawn. We briefly discussed the possibility of moth species or group of species as bioindicator for assessing the condition of forest after disturbance.

• Journal of the Korean Institute of Rural Architecture
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• v.12 no.1
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• pp.25-32
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• 2010

The aim of this thesis is to present why the business district of old downtown in Jejusi collapsed and what sort of problems caused by that as collecting objective data, which help us to comprehend how the commercial zone has been decaying, on the physical state of the specific area near 'Sinheungro' and 'Chilsungro', which are main commercial sites in the downtown, and analysing it. Firstly It was revealed that most land investigated was property in which structure was able to built or poor land within $60m^2$. This was caused by increasing in land value and high density in space use so that the area did not develop. Secondly, In addition to be low density, most of buildings in 'Sinheungro' and 'Chilsungro' were so old and inefficient - the old buildings were abandoned without improving due to expensive rent and complicated property rights. Thirdly, According to the survey accomplished, major commercial facilities in the area have struggled with the continuous recession in their business. It was the inevitable result of not having an effective alliance with surrounding retail shops and a lack of a strategic action for satisfying consumers desire or adapting to new shopping patterns. Fourthly, Infrastructure in the site was ruining the beauty of the urban landscape as well as bringing on bad access to the inner city as not having improved enough. Furthermore, many administration departments which were in charge of each infrastructure existed. This was resulted from not considering unification between each infrastructure and regional characteristics of the local community.

• 한국IT서비스학회:학술대회논문집
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• 2008.05a
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• pp.572-577
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• 2008

The information protection security diagnosis institution was applied services since 2004, for the leveling up of public information protection and the establishment of the stability and reliability of information communication. And this security diagnosis was however, recognized by the some firms as one of the unnecessary regulations. And there are some difficulties with collecting the subjective and reliable source data for establishing the information protection security diagnosis target. In this research, the enhanced model on the selection of information protection security diagnosis target firms was suggested by the interview with some expert and the analysis for the related actual data. By the model which are introduced from the statistical analysis of the related data and the summary of some expert's suggestions, information protection security diagnosis target can include the information telecommunication service providers taking 5 billion won as sales in a year, and web service providers like as shopping mall site, with the personal records of 2 million subscribers.

• International Journal of Advanced Culture Technology
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• v.9 no.3
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• pp.174-180
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• 2021

The necessity of this study is as follows. A decrease in the number of newborns, an increase in the youth unemployment rate, and a decrease in the employment rate are having a fatal impact on universities. To help increase the employment rate of universities, we intend to utilize Big Data of university public information. Big data refers to the process of collecting and analyzing data, and includes all business processes of finding data, reprocessing information in an easy-to-understand manner, and selling information to people and institutions. Big data technology can be divided into technologies for storing, refining, analyzing, and predicting big data. The purpose of this study is to find the vision and special department of a university with a high employment rate by using big data technology. As a result of the study, big data was collected from 227 universities on www.academyinfo.go.kr site, We selected 130 meaningful universities and selected 25 universities with high employment rates and 25 universities with low employment rates. In conclusion, the university with a high employment rate can first be said to have a student-centered vision and university specialization. The reason is that, for universities with a high employment rate, the vision was to foster talents and specialize, whereas for universities with a low employment rate, regional bases took precedence. Second, universities with a high employment rate have a high interest in specialized departments. This is because, as a result of checking the presence or absence of a characterization plan, universities with a high employment rate were twice as high (21/7). Third, universities with high employment rates promote social needs and characterization. This is because the characteristic departments of universities with high employment rates are in the order of future technology and nursing and health, while universities with low employment rates promoted school-centered specialization in future technology and culture, tourism and art. In summary, universities with high employment rates showed high interest in student-centered vision and development of special departments for social needs.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.591-593
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• 2019

LPWA has a small amount of data that can be transmitted at one time, but it can collect a very wide range of information, so it is suitable for gathering information of apartment meter or collecting data intermittently sent from industrial site. However, most of the application studies on LPWA are limited to outdoor, especially LOS environment, so it is difficult to collect information for application to apartment and industrial sites. In this paper, we have measured the communication coverage within the building, which is a NLOS environment, so that LPWA communication can be applied to apartments and industrial sites. For the experiment, LoRa module was created using sx1276, Class A was applied, and the spread factor was changed for each layer. As a result, in case of spreading factor 7 that shows increasing error and losses from the 7 floor, but the in case of spreading factor 12, the data could be seamlessly received even on the 9th floor without error and losses.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.1
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• pp.149-162
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• 2021

This paper established a new smart factory based on manufacturing data for an introductory company focusing on the personalized cosmetics manufacturing industry. We build on an example of a system that collects, manages, and analyzes documents and data that were previously managed by CGMP-based analog for data-driven use. To this end, we have established a system that can collect all data in real time at the production site by introducing artificial intelligence smart factory platform LINK5 MOS and POP system, collecting PLC data, and introducing monitoring system and pin board. It also aims to create a new business cluster space based on this project.

• Journal of the Korean Society of Industry Convergence
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• v.24 no.3
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• pp.343-350
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• 2021

Unmanned aerial vehicles(UAV) photogrammetry provides a cost-effective option for collecting high-resolution 3D point clouds compared with UAV LiDAR and aerial photogrammetry. The main objectives of this study were to (1) validate the accuracy of 3D site model generated, and (2) determine the differences between Digital Elevation Model(DEM) and Digital Surface Model(DSM). In this study, DEM and DSM were shown to have varying degree of accuracy from observed data. The results indicated that the model predictions were considered tend to over- and under-estimated. The range of RMSE of DSM predicted was from 8.2 and 21.3 when compared with the observation. In addition, RMSE values were ranged from 10.2 and 25.8 to compare between DEM predicted and field data. The predict values resulting from the DSM were in agreement with the observed data compared to DEM calculation. In other words, it was determined that the DSM was a better suitable model than DEM. There is potential for enabling automated topography evaluation of the prior-harvest areas by using UAV technology.

• The Journal of the Korea Contents Association
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• v.21 no.5
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• pp.11-21
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• 2021

The purpose of this study is to explore and analyze how the Covid-19 pandemic has affected the reporting practices and news production of the reporters working with Korean media over the past one year. To this end, this study has conducted in-depth interviews with reporters working with daily newspapers, news agencies, and broadcasting companies. The analysis of the interviews resulted in the following generalizations. The reporters are working at home, which was never experienced before the Covid-19 pandemic, and they have difficulties in covering their reporting beats because they have little or no access to contact points. The reporters rely heavily on indirect coverage and online briefings via phones or SNS because they have difficulties in meeting news sources in person. As a result, the diversity of news contents and the media's on-site monitoring functions has been severely weakened. In addition, the reporters have no chances to both exchange ideas with fellow reporters and to transfer the know-how of collecting news items to their juniors. This paper has also discussed the disruption of practices that the ongoing Covid-19 has brought to the media ecosystem from a variety of perspectives.

• The Journal of the Korea Contents Association
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• v.22 no.6
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• pp.125-134
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• 2022

This study aims to critically discuss the problems that need to be solved from a humanities perspective in order to utilize big data. It identifies and discusses three research problems that may arise from collecting, processing, and using big data. First, it looks at the fake information circulating with regard to problems with the data itself, specifically looking at article-type advertisements and fake news related to politics. Second, discrimination by the algorithm was cited as a problem with big data processing and its results. This discrimination was seen while searching for engineers on the portal site. Finally, problems related to the invasion of personal related information were seen in three categories: the right to privacy, the right to self-determination of information, and the right to be forgotten. This study is meaningful in that it points out the problems facing in the aspect of big data utilization from the humanities perspective in the era of big data and discusses possible problems in the collection, processing, and use of big data, respectively.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.7
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• pp.890-895
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• 2021

Recently, the "Act of Serious Disasters, etc" was enacted and institutional and social interest in safety accidents is increasing. In this paper, we analyze statistical data published by government agency on safety accidents that occur in manufacturing sites, and compare various object detection models based on deep learning to build a model to determine dangerous situations to reduce the occurrence of safety accidents. The data-set was directly constructed by collecting images from CCTVs at the manufacturing site, and the YOLO-v4, SSD, CenterNet models were used as training data and evaluation data for learning. As a result, the YOLO-v4 model obtained a value of 81% of mAP. It is meaningful to select a class in an industrial field and directly build a dataset to learn a model, and it is thought that it can be used as an initial research data for a system that determines a risk situation and infers it.