• The Journal of the Korea Contents Association
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• v.21 no.10
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• pp.59-66
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• 2021

In this paper, an improved integrated security control procedure is newly proposed by applying artificial intelligence technology to integrated security control and unifying the existing security control and AI security control response procedures. Current cyber security control is highly dependent on the level of human ability. In other words, it is practically unreasonable to analyze various logs generated by people from different types of equipment and analyze and process all of the security events that are rapidly increasing. And, the signature-based security equipment that detects by matching a string and a pattern has insufficient functions to accurately detect advanced and advanced cyberattacks such as APT (Advanced Persistent Threat). As one way to solve these pending problems, the artificial intelligence technology of supervised and unsupervised learning is applied to the detection and analysis of cyber attacks, and through this, the analysis of logs and events that occur innumerable times is automated and intelligent through this. The level of response has been raised in the overall aspect by making it possible to predict and block the continuous occurrence of cyberattacks. And after applying AI security control technology, an improved integrated security control service model was newly proposed by integrating and solving the problem of overlapping detection of AI and SIEM into a unified breach response process(procedure).

• Korean Journal of Agricultural and Forest Meteorology
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• v.24 no.3
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• pp.190-200
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• 2022

In this study, the island's land-use and land-cover change (LULCC) is analyzed in South Korea using remotely sensed land cover data(Globeland 30) acquired from 2000 to 2020 to meet the requirement of providing practical information for forest management. Analysis of LULCC between the 2000 and 2020 images revealed that changes to agricultural land were the most common type of change (7.6% of pixels), followed by changes to the forest (5.7%). The islands forests maintain 157,246 ha (42.2% of the total island area). Land cover types that changed to the forest from grasslands were 262 islands, while reverse cases have occurred on 421 islands. These 683 islands have a possibility of transition and disturbance. The artificial land class was newly calculated in 22 islands. The forests, which account for 42.2% of the 22 island area, turned into grassland, and 27.8% of agricultural land and grassland turned into forests. The development of artificial land often affects developed areas and surrounding areas, resulting in deforestation, management of agriculture, and landscaping. This study can provide insights concerning the fundamental data for assessing ecological functions and constructing forest management plans in islands ecosystems.

• Journal of Korea Spatial Information System Society
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• v.9 no.1
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• pp.105-115
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• 2007

Data mining extracts interesting knowledge from a large database. Among numerous data mining techniques, research work is primarily concentrated on clustering and association rules. The clustering technique of the active research topics mainly deals with analyzing spatial and attribute data. And, the technique of association rules deals with identifying frequent patterns. There was an advanced apriori algorithm using an existing bit-clustering algorithm. In an effort to identify an alternative algorithm to improve apriori, we investigated FP-Growth and discussed the possibility of adopting bit-clustering as the alternative method to solve the problems with FP-Growth. FP-Growth using bit-clustering demonstrated better performance than the existing method. We used chess data in our experiments. Chess data were used in the pattern mining evaluation. We made a creation of FP-Tree with different minimum support values. In the case of high minimum support values, similar results that the existing techniques demonstrated were obtained. In other cases, however, the performance of the technique proposed in this paper showed better results in comparison with the existing technique. As a result, the technique proposed in this paper was considered to lead to higher performance. In addition, the method to apply bit-clustering to GML data was proposed.

• Korean Journal of Ecology and Environment
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• v.50 no.4
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• pp.381-402
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• 2017

In order to investigate distribution of vascular plants along elevational gradient in the Nodong valley of Gyebangsan, vascular plants of eight sections with 100-meter-high were surveyed from the Auto-camping site (800 m) to the top of a mountain (1,577 m). There were a total of 382 taxa: 89 families, 234 genera, 339 species, 7 subspecies, 34 varieties, and 2 forms. As a result of analyzing the pattern of species richness, it showed a reversed hump-shaped with minimum richness at mid-high elevation. As a result of analyzing habitat affinity types, the proportion of forest species increased with increasing elevation. But, the ruderal species decreased with increasing elevation, and then increased at the top of a mountain. As for the proportion of life forms, the annual herbs gradually decreased with increasing elevation, but it did not appear between 1,300 m and 1,500 m and then increased at the top of a mountain. The trees gradually increased with elevation and decreased from 1,300~1,400 m. The vascular plants divided into four groups by using DCA. The arrangement of each stands was arranged in order from right to left on the I axis according to the elevation. The distribution of vascular plants is determined by their own optimal ranges of vegetation. Also, rise in temperature due to climate change affects the distribution of vascular plants, composition, and diversity. Therefore, continuous monitoring is necessary to confirm ecological and environmental characteristics of vegetation, distribution ranges, changes of habitat. Furthermore, plans for conservation and management based on these data should be prepared according to climate change.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.3B
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• pp.235-246
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• 2009

The number of industry wireless networks based on IEEE 802.11 WLAN technology deployed in large outdoor work sites, such as freight container terminal, is increasing these days. Wider service coverage, frequent movements of stations and high requirement on service reliability are main characteristics of these networks compared to the conventional IEEE 802.11 networks used in home, office and school. While the importance of these networks Bets higher, we can hardly find previous studies including concrete analysis on these networks based on actual experiments. We carried out several field experiments at a freight container terminal to analyze its IEEE 802.11 network and found out some problematic situations, such as over 50% retransmission rates and frequent disruption of communication link while a station is moving. We explain why these problematic situations happen and suggest some solutions, such as application of mesh technology, smart handoff based on location and movement pattern and adjustment of signal strength and channel allocation. Methods and tools used in the experiments are also detailed in the paper which may be helpful for similar future studies.

• Journal of Wetlands Research
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• v.21 no.4
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• pp.354-364
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• 2019

Sri Lanka is an island nation susceptible to climate-related disasters and extreme weather events. Kurunegala City is the developing capital city of the North-Western Province of Sri Lanka. Changes in rainfall patterns and a steadily increasing annual average temperature amounting to 0.69±0.37℃ were observed in the city area. Generally, urban areas are at risk due to the lack of climate change adaptation provisions incorporated in the development plans. This study was conducted to investigate the characteristics of Krunegala City, Sri Lanka and develop an appropriate climate change adaptation plan for the city. Site investigation and qualitative risk assessment were conducted to devise a plan relevant to the climate change adaptation needs of the city. Qualitative risk analyses revealed that drinking water, water resources, and health and infrastructure risks were among the major concerns in Kurunegala City. Low impact development (LID) technologies were found to be applicable to induce non-point source pollutant reduction, relieve urban heat island phenomenon, and promote sound water circulation systems. These technologies can be effective means of alleviating water shortage and reducing urban temperature. The measures and strategies presented in this study can serve as reference for developing climate change adaptation plans in areas experiencing similar adverse effects of climate change.

• Journal of Internet of Things and Convergence
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• v.8 no.4
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• pp.25-40
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• 2022

This study aimed to understand the increasing number of elder abuses in South Korea, where entry into the super-aged society is imminent, by implementing text mining analysis. Korean Academic journals were obtained from 2004, the establishment year of the senior care agency, to 2021. We performed natural language processing of the titles, keywords, and abstracts and divided them into three segments of periods to identify latent meanings in the data. The results illustrated that the first section included 81 papers, the second 64, and the third 104 respectively, averaging 13.8 annually, which increased its numbers from 2014 until the decrease below the annual average in 2020. Word frequency demonstrated that the common keywords of the entire segments were 'elder abuse,' 'elders,' 'influences,' 'factors,' 'recognition,' 'family,' 'society,' 'prevention plans,' 'experiences,' 'abused elders,' 'abuse prevention,' 'depression,' etc., in consecutive order. TF-IDF indicated that 'influences,' 'recognition,' 'society,' 'prevention plans,' 'abuse prevention,' 'experiences,' 'depression,' etc., were the common keywords of all divisions. Network text analysis displayed that the commonly represented keywords were 'elder abuse,' 'elders,' 'influences,' 'factors,' 'characteristics,' 'recognition,' 'family,' 'prevention plans,' 'society,' 'abuse prevention,' and 'experiences' in the entire sections. concor analysis presented that the first segment consisted of 5 groups, the second 7, and the third 6. We suggest future directions for elder abuse research based on the results.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.388-388
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• 2023

영산강은 황룡강과 지석천이 합류하는 지점이기 때문에 많은 비가 내리면 홍수에 취약한 반면, 인근 지역인 나주시 노안면과 광주광역시 승촌동 지역의 지하수를 풍부하게 해주는 역할을 하고 있다. 특히, 승촌보 인근 지역은 겨울철 수온이 따뜻한 지하수를 활용하여 겨울철 미나리를 대규모로 재배하고 있다. 현재 승촌보 운영 수위를 관리 수위인 E.L.7.5m보다 1.5~2m 낮은 E.L.5.5~6.0m로 운영함에 따라 지하수 수위가 보 관리 수위보다 낮게 형성되고 있다. 이에 K-water 영산강보관리단은 여름철 홍수방어를 위해 설치된 배수문을 겨울철에 닫아 인공소류지를 형성함으로써 겨울철 미나리 재배지역에 지하수가 함양되는지 시험운영을 계획하였다. 배수문 시설을 관리하는 한국농어촌공사 광주지사와 광주광역시 남구청과 협의하였다. 이후 영산강유역환경청 민관협의체 위원장과 주민대표 통장님들께 방문 설명 등 지역주민들의 공감대 형성을 거쳐, '22년 9월 30일 승촌보 인근 승촌배수문 등 5개 배수문을 폐쇄하여 11월 30일까지 소류지에 물을 담수하였다. 또한, 소류지의 수위를 파악하기 위해 GPS 측량으로 해발 표고 산정한 간이 목자판 수위계를 설치하여 소류지내 수위를 모니터링하였다. 승촌배수문(#1)에서 발생한 누수는 스펀지를 바닥에 깔아 보강함으로써 누수를 줄여 소류지 수위를 E.L.6.7m 이상을 유지하였다. 그 결과 영산강에 인접한 SCM-008 지하수 관측소 데이터는 승촌보 운영 수위에 영향을 받고 있음을 확인할 수 있었다. 미나리 재배 기간인 3월에는 수막 재배로 인한 지하수 사용으로 수위가 가장 낮았으며, 여름철에 지하수 수위가 회복되는 패턴을 반복하였다. 10월~11월 시험운영기간 동안 SCM-005, -008, -101 지하수 관측정은 소류지와 중앙배수로에 가까울수록 인공 함양시 수위 상승효과가 크게 나타났으며, 평년(2020년~2021년) 대비 지하수위 상승을 확인하였다. SC-0 지역은 2022년 가뭄으로 다우년 대비 지하수 수위가 낮았으나, 시험운영 기간 중 지하수 수위 하강 속도가 늦춰지거나, 수위가 상승하는 것을 확인하였다. 또한, 인근 마을주민들에게 시험 운영 결과를 공유하였고, 소류지가 예년처럼 건천화되었을 때보다 지하수 수위상승과 중앙배수로나 소류지에서 양수하는 등 용수 이용에 도움이 되었다는 긍정적인 답변을 받았다. 따라서 2023년도에도 겨울철 미나리 재배 시기 동안 배수문을 닫아 소류지를 형성하여 지하수 함양에 도움이 되록하여, 미나리 지역의 농가 수익 증대에 보탬이 되도록 할 예정이다.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.9
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• pp.146-156
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• 2017

In this study, the causal relationship between the main factors influencing the import of agricultural products and the changes in agricultural imports was investigated. In addition, we compared the magnitude of the impact of each factor on the changes in agricultural imports. It was found that the import liberalization rate, which represents the FTA factors and reflects the per capita GDP, the conditions of supply and demand of agricultural products in exporting countries and the changes in exchange rates, affects the changes of the agricultural products imports. However, the factors affecting the change of the imports by agricultural product category and the magnitude of the influence by each factor were different. This shows that various factors, other than the FTA factors, are compounding the changes in the agricultural imports. In the future, the market openings due to the implementation of the FTA will be further enlarged and the economic territory of the FTA will be further expanded, due to the implementation of additional FTAs, and the changes in the imports of agricultural products will cause damage to the domestic agricultural sector.

• Journal of Korean Society of Transportation
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• v.32 no.4
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• pp.303-314
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• 2014

This study develops a $CO_2$ emissions estimation method, which considers different O/D travel patterns and through traffic volumes, in different regions for $CO_2$ emissions management in the field of transportation. In the research, O/D and network data provided by the Korea Transport Database (KTDB) Center are used as basic data. The results show that the total emission was similar to the Metropolitan's total emission which was estimated by KTDB (2009). With the analysis focusing on Gyeonggi-do, the results show that $CO_2$ emission from through traffic volumes was greater than $CO_2$ emissions of the Intra-Regional in southern regions; By contrast, $CO_2$ emissions of the Intra-Regional was greater than that from through traffic volumes in northern regions. Therefore, the $CO_2$ emissions management needs to be segregated into local government and nation with each travel pattern.