• Journal of Intelligence and Information Systems
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• v.25 no.2
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• pp.57-75
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• 2019

In this paper, we conducted a study focusing on the innovation direction of the documentary model on the Internet of Things industry, which is the most actively industrialized among the core technologies of the 4th Industrial Revolution. Policy, economic, social, and technical issues were derived using PEST analysis for global trend analysis. It also presented future prospects for the Internet of Things industry of ICT-related global research institutes such as Gartner and International Data Corporation. Global research institutes predicted that competition in network technologies will be an issue for industrial Internet (IIoST) and IoT (Internet of Things) based on infrastructure and platforms. As a result of the PEST analysis, developed countries are pushing policies to respond to the fourth industrial revolution through cooperation of private (business/ research institutes) led by the government. It was also in the process of expanding related R&D budgets and establishing related policies in South Korea. On the economic side, the growth tax of the related industries (based on the aggregate value of the market) and the performance of the entity were reviewed. The growth of industries related to the fourth industrial revolution in advanced countries overseas was found to be faster than other industries, while in Korea, the growth of the "technical hardware and equipment" and "communication service" sectors was relatively low among industries related to the fourth industrial revolution. On the social side, it is expected to cause enormous ripple effects across society, largely due to changes in technology and industrial structure, changes in employment structure, changes in job volume, etc. On the technical side, changes were taking place in each industry, representing the health and medical sectors and manufacturing sectors, which were rapidly changing as they merged with the technology of the Fourth Industrial Revolution. In this paper, various management methodologies for innovation of existing business model were reviewed to cope with rapidly changing industrial environment due to the fourth industrial revolution. In addition, four criteria were established to select a management model to cope with the new business environment: 'Applicability', 'Agility', 'Diversity' and 'Connectivity'. The expert survey results in an AHP analysis showing that Business Model Canvas is best suited for business model innovation methodology. The results showed very high importance, 42.5 percent in terms of "Applicability", 48.1 percent in terms of "Agility", 47.6 percent in terms of "diversity" and 42.9 percent in terms of "connectivity." Thus, it was selected as a model that could be diversely applied according to the industrial ecology and paradigm shift. Business Model Canvas is a relatively recent management strategy that identifies the value of a business model through a nine-block approach as a methodology for business model innovation. It identifies the value of a business model through nine block approaches and covers the four key areas of business: customer, order, infrastructure, and business feasibility analysis. In the paper, the expansion and application direction of the nine blocks were presented from the perspective of the IoT company (ICT). In conclusion, the discussion of which Business Model Canvas models will be applied in the ICT convergence industry is described. Based on the nine blocks, if appropriate applications are carried out to suit the characteristics of the target company, various applications are possible, such as integration and removal of five blocks, seven blocks and so on, and segmentation of blocks that fit the characteristics. Future research needs to develop customized business innovation methodologies for Internet of Things companies, or those that are performing Internet-based services. In addition, in this study, the Business Model Canvas model was derived from expert opinion as a useful tool for innovation. For the expansion and demonstration of the research, a study on the usability of presenting detailed implementation strategies, such as various model application cases and application models for actual companies, is needed.

• Korean Journal of Remote Sensing
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• v.38 no.6_1
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• pp.1463-1478
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• 2022

Maritime transport accounts for 99.7% of the exports and imports of the Republic of Korea; therefore, developing a vessel monitoring system for efficient operation is of significant interest. Several studies have focused on tracking and monitoring vessel movements based on automatic identification system (AIS) data; however, ships without AIS have limited monitoring and tracking ability. High-resolution optical satellite images can provide the missing layer of information in AIS-based monitoring systems because they can identify non-AIS vessels and small ships over a wide range. Therefore, it is necessary to investigate vessel monitoring and small vessel classification systems using high-resolution optical satellite images. This study examined the possibility of developing ship monitoring systems using Compact Advanced Satellite 500-1 (CAS500-1) satellite images by first training a deep learning model using satellite image data and then performing detection in other images. To determine the effectiveness of the proposed method, the learning data was acquired from ships in the Yellow Sea and its major ports, and the detection model was established using the You Only Look Once (YOLO) algorithm. The ship detection performance was evaluated for a domestic and an international port. The results obtained using the detection model in ships in the anchorage and berth areas were compared with the ship classification information obtained using AIS, and an accuracy of 85.5% and 70% was achieved using domestic and international classification models, respectively. The results indicate that high-resolution satellite images can be used in mooring ships for vessel monitoring. The developed approach can potentially be used in vessel tracking and monitoring systems at major ports around the world if the accuracy of the detection model is improved through continuous learning data construction.

• Journal of the Korean Association of Geographic Information Studies
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• v.25 no.3
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• pp.100-117
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• 2022

This study examines the spatio-temporal characteristics of the macrobenthic community in the coastal areas of South Korea for the past six years(2015-2020). The relationship between the number of individuals of macrobenthic species and the benthic environments were investigated using data collected at a total of 154 stations located in the West (70), the South (61), and the East Seas (23), except for the Jeju Sea. We examined the benthic environmental characteristics such as water depth, sediment, grain size, ignition loss, and total organic carbon. A total of 1,614 macrobenthic species were found in the coastal area, with a mean density of 0.62 ind./m² by station. The mean density was relatively high in the spring and summer seasons (May to August) with more than 450 species. The most dominant species belong to Polychaetes and the top five of them accounted for more than 20% of the total number of populations. The top five species were Heteromastus filiformis, Scoletoma longifolia, Sigambra tentaculata, Sternaspis scutata, and Notomastus latericeus. Cluster analysis was performed on the top five dominant species. The stations were clustered into three groups with similar locations on the West, South, and East Sea. Cluster 1 and 3 represent Heteromastus filiformis (44% each), but cluster 2 represents Scoletoma longifolia (66%). Each cluster has different benthic environmental characteristics, especially in the sediment's sand (31.0%, 51.9%) and clay (15.9%, 9.7%) contents.

• Korean Journal of Ecology and Environment
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• v.55 no.1
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• pp.60-75
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• 2022

The Bayesian algorithm model is a model algorithm that calculates probabilities based on input data and is mainly used for complex disasters, water quality management, the ecological structure between living things or living-non-living factors. In this study, we analyzed the main factors affected Korean Estuary Trophic Diatom Index (KETDI) change based on the Bayesian network analysis using the diatom community and physicochemical factors in the domestic estuarine aquatic ecosystem. For Bayesian analysis, estuarine diatom habitat data and estuarine aquatic diatom health (2008~2019) data were used. Data were classified into habitat, physical, chemical, and biological factors. Each data was input to the Bayesian network model (GeNIE model) and performed estuary aquatic network analysis along with the nationwide and each coast. From 2008 to 2019, a total of 625 taxa of diatoms were identified, consisting of 2 orders, 5 suborders, 18 families, 141 genera, 595 species, 29 varieties, and 1 species. Nitzschia inconspicua had the highest cumulative cell density, followed by Nitzschia palea, Pseudostaurosira elliptica and Achnanthidium minutissimum. As a result of analyzing the ecological network of diatom health assessment in the estuary ecosystem using the Bayesian network model, the biological factor was the most sensitive factor influencing the health assessment score was. In contrast, the habitat and physicochemical factors had relatively low sensitivity. The most sensitive taxa of diatoms to the assessment of estuarine aquatic health were Nitzschia inconspicua, N. fonticola, Achnanthes convergens, and Pseudostaurosira elliptica. In addition, the ratio of industrial area and cattle shed near the habitat was sensitively linked to the health assessment. The major taxa sensitive to diatom health evaluation differed according to coast. Bayesian network analysis was useful to identify major variables including diatom taxa affecting aquatic health even in complex ecological structures such as estuary ecosystems. In addition, it is possible to identify the restoration target accurately when restoring the consequently damaged estuary aquatic ecosystem.

• Journal of the Korean earth science society
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• v.44 no.6
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• pp.643-654
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• 2023

The West Philippine Basin, an oceanic basin half the size of the Philippine Sea Plate, lies in the western part of the plate and south of the Korean Peninsula on the Eurasian Plate. It subducts beneath the Eurasian Plate and the Philippine Islands bordering the Ryukyu Trench and the Philippine Trench with 25-50% of this basin already consumed. However, the history of the opening of the basin's southern region has been a topic of debate. The non-transform discontinuity formed during the seafloor spreading is similar to the transform fault boundaries normally perpendicular to mid-ocean ridge axes; however, it was created irregularly due to ridge propagations caused by variations of mantle convection attributable to magma supply changes. By analyzing high-resolution multi-beam echo-sounding data, we confirmed that the non-transform discontinuity due to the propagating rift evolved in the entire basin and that the abyssal hill strike direction changed from E-W to NNW-SSE from the fossil spreading center. In the early stage of basin extension, the Amami-Sankaku Basin was rotated 90 degrees clockwise from its current orientation, and it bordered the Palau Basin along the Mindanao Fracture Zone. The Amami-Sankaku Basin separated from the Palau Basin while the spreading of the West Philippine Basin began with a counter-clockwise rotation. This indicates that the non-transform discontinuities formed by a sudden change in magma supply due to the drift of the Philippine Sea Plate and simultaneously with the rapid changes in the spreading direction from ENE-WSW to N-S. The Palau Basin was considered to be the sub-south of the West Philippine Basin, but recent studies have shown that it extends into an independent system. Evidence from sediment layers and crustal thickness hints at the possibility of its existence before the West Philippine Basin opened, although its evolution continues to be debated. We performed a combined analysis using high-resolution multi-beam bathymetry and satellite gravity data to uncover new insights into the evolution of the West Philippine Basin. This information illuminates the complex plate interactions and provides a crucial contribution toward understanding the opening history of the basin and the Philippine Sea Plate.

• Analytical Science and Technology
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• v.32 no.6
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• pp.243-251
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• 2019

Microplastics (MP) are found in large quantities in the oceans, posing a major threat to the ecosystem. In Korea, MPs have been reported to be detected in sea salts. In order to analyze MPs, information on their composition, size, and shape is required. FT-IR microscopy is used frequently to measure sizes larger than 20 ㎛. Recently, however, Raman microscopy, which can analyze ultrafine plastics below 20 ㎛, has been applied extensively. In this study, 10.0 g samples of commercially available salts were dissolved and filtered through a 45 ㎛ mesh filter with a size of 25.4 mm × 25.4 mm. These filtered samples were then analyzed by both FT-IR microscopy and Raman microscopy. A total of four MPs, including three polyethylene (PE) of size 70-100 ㎛ and a polypropylene (PP) of size 170 ㎛, were detected by FT-IR microscopy, while 10 MPs, including nine PE of size 10-120 ㎛ and one polystyrene (PS) of size 40 ㎛, were detected by Raman microscopy. Approximately, 1,000 MPs/kg was estimated, which was almost two times higher than the previous reported levels (~550-681 particles/kg in sea salts); this is because Raman microscopy can detect much smaller MPs than FT-IR microscopy. A total of 113 particles were found using Raman microscopy: Carbon (35, 31.5 %), minerals (28, 25 %), and glass (16, 14.4 %) were dominant, forming around 70% of the total, but MPs (10, 8.8 %) and cellulose (5, 4.5 %) were also found. Raman microscopy has great potential as an accurate method for measuring MPs, as it can measure smaller size MPs than FT-IR microscopy. It also has a reduced sample preparation time.

• Journal of the Korean earth science society
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• v.39 no.1
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• pp.53-66
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• 2018

The information of surface reflectance ($R_{sfc}$) is important for the heat balance and the environmental/climate monitoring. The $R_{sfc}$ sensitivity to error-induced variables for the Geostationary Environment Monitoring Spectrometer (GEMS) retrieval from geostationary-orbit satellite observations at 300-500 nm was investigated, utilizing polar-orbit satellite data of the MODerate resolution Imaging Spectroradiometer (MODIS) and Ozone Mapping Instrument (OMI), and the radiative transfer model (RTM) experiment. The variables in this study can be cloud, Rayleigh-scattering, aerosol, ozone and surface type. The cloud detection in high-resolution MODIS pixels ($1km{\times}1km$) was compared with that in GEMS-scale pixels ($8km{\times}7km$). The GEMS detection was consistent (~79%) with the MODIS result. However, the detection probability in partially-cloudy (${\leq}40%$) GEMS pixels decreased due to other effects (i.e., aerosol and surface type). The Rayleigh-scattering effect in RGB images was noticeable over ocean, based on the RTM calculation. The reflectance at top of atmosphere ($R_{toa}$) increased with aerosol amounts in case of $R_{sfc}$<0.2, but decreased in $R_{sfc}{\geq}0.2$. The $R_{sfc}$ errors due to the aerosol increased with wavelength in the UV, but were constant or slightly decreased in the visible. The ozone absorption was most sensitive at 328 nm in the UV region (328-354 nm). The $R_{sfc}$ error was +0.1 because of negative total ozone anomaly (-100 DU) under the condition of $R_{sfc}=0.15$. This study can be useful to estimate $R_{sfc}$ uncertainties in the GEMS retrieval.

• Geophysics and Geophysical Exploration
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• v.14 no.1
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• pp.80-87
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• 2011

Autonomous underwater vehicles (AUVs) present the important advantage of being able to approach the seafloor more closely than surface vessel surveys can. To collect bathymetric data, bottom material information, and sub-surface images, multibeam echosounder, sidescan sonar (SSS) and subbottom profiler (SBP) equipment mounted on an AUV are powerful tools. The 3000m class AUV URASHIMA was developed by the Japan Agency for Marine-Earth Science and Technology (JAMSTEC). After finishing the engineering development and examination phase of a fuel-cell system used for the vehicle's power supply system, a renovated lithium-ion battery power system was installed in URASHIMA. The AUV was redeployed from its prior engineering tasks to scientific use. Various scientific instruments were loaded on the vehicle, and experimental dives for science-oriented missions conducted from 2006. During the experimental cruise of 2007, high-resolution acoustic images were obtained by SSS and SBP on the URASHIMA around the northern Kumano Basin off Japan's Kii Peninsula. The map of backscatter intensity data revealed many debris objects, and SBP images revealed the subsurface structure around the north-eastern end of our study area. These features suggest a structure related to the formation of the latest submarine fan. However, a strong reflection layer exists below ~20 ms below the seafloor in the south-western area, which we interpret as a denudation feature, now covered with younger surface sediments. We continue to improve the vehicle's performance, and expect that many fruitful results will be obtained using URASHIMA.

• Strategy21
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• s.32
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• pp.222-270
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• 2013

서구 근대 국제관계학의 태동은 "전쟁의 원인"을 밝혀내려고 했던 유럽 지식인들의 학문적 도전에서부터 비롯되었다고 할 수 있다. 1, 2차 세계대전의 잔혹함을 겪으면서 이들은 전쟁(특히 전쟁의 원인)에 대한 좀 더 과학적인 연구를 통해 어떻게 하면 국가들 간의 전쟁을 예방할 수 있을까에 집중해 왔다. 이러한 학문적 경향을 반영한 것이 잘 알려진 미국 미시간 대학의 "전쟁 상관성 연구 프로젝트(Correlates of War Project)"이다. 이는 나폴레옹 전쟁이 끝나고 비엔나체제가 시작된 1815년 이후 국가들 간 발생한 모든 전쟁 관련 자료를 데이터베이스화하여,국제관계학자들이 전쟁(Interstate War)이나 군사분쟁(Militarized Interstate Disputes)을 정량 또는 정성적으로 연구할 수 있도록 다양한 정보들을 제공하고 있다. 최근 Paul F. Diehl, William R. Thompson과 같은 학자들은 전쟁을 분석단위로 하는 전쟁의 원인(Causes of War)을 연구하는 학풍에서 벗어나, 국가들 간의 분쟁과 전쟁을 연구하기 위해 숙적관계(Rivalry)라는 새로운 분석의 단위를 제시하였다. 숙적관계는 국제관계에 있어서 지속적으로 분쟁 또는 전쟁을 일으키는, 즉 무력분쟁의 긴 역사를 가지고 있는, 두 국가를 일컫는다. 국가들 간의 숙적관계는 학자들에 따라 Interstate Rivalry, Enduring Rivalry, Strategic Rivalry 등 다양한 정의와 성격을 갖고 있다. 이러한 국가들의 사례로는 2차대전 이전까지 프랑스-독일 관계, 2차대전 이후 중동지역 이스라엘과 아랍국가들 간의 관계, 냉전기 미소관계, 인도-파키스탄 및 남북한 관계 등을 예로 들 수 있다. 이렇게 널리 알려진 숙적관계 외에도 남미의 칠레-아르헨티나, 에콰도르-페루와 아프리카의 소말리아-에티오피아 등 학자들에 따라 1815년 이후 약 200개의 숙적관계를 제시하고 있다. 숙적관계에 대한 연구는 기존의 전쟁의 원인 중심이었던 정량적 국제분쟁 연구에 두 국가의 분쟁역사를 포함시키는 정성적 연구를 접합시키고 있다. 본 연구는 1945년 이후 숙적관계 국가들의 관계종식과 관련하여, 거시론적이고 전체론적 접근방법(Macro - level Holistic Approach)을 제시하고 있다. 먼저 1945년 이후 발생한 국가들 간의 숙적관계 종식(Rivalry Termination)을 이해하기 위해, 거시적 관점에서 숙적관계를 발생시키게 된 역사적 원인을 살펴보고 있다. 특히 1945년 이후 숙적관계와 관련된 중요한 요인들 중에서 전쟁, 영토분쟁, 그리고 근대국가 형성에 대해 살펴보고 다음과 같은 두 가지 명제(proposition)를 제시한다. 첫째, 1945년 이후의 숙적관계 형성과 지속에는 2차대전 이후 독립국가 형성, 헌팅턴이 주장한 제3의 물결(민주화), 그리고 냉전기 미소경쟁 등의 역사적 배경이 영향을 주었다는 것이다. 둘째, 이러한 역사적 배경에 더하여 1945년 이후 숙적관계는 전쟁에 의해 시작된 숙적관계와 전쟁 없이 시작된 숙적관계 등 2가지로 나눌 수 있으며, 전쟁에 의해 시작되고 영토분쟁과 근대국가 형성 문제를 내포하고 있는 숙적관계가 그렇지 않은 숙적관계에 비해 오랫동안 지속되며 관계해결이 어렵다는 것이다. 앞서 제시된 2가지 명제들과 관련하여 본문에서는 다양한 학자들이 제시한 숙적관계 정의들에 일치하는 23개의 숙적관계(Consensus Rivalries)를 선정하여 이들에 대한 비교분석(Descriptive Analysis)을 실시하였다. 이들 사례들을 1945년 이전과 이후로 나누어, 숙적관계 형성과 종식에 있어 핵심요소인 국가들 간 힘의 차이(Power Relations), 분쟁의 주요 원인(Primary Conflict Issue), 숙적관계에 있어 다른 국가들과의 연계성(Rivalry Linkage), 전쟁의 횟수와 시기 등을 통해 비교하였다. 숙적관계의 종식과 관련하여 약소국 간의 숙적관계(Minor Dyad)가 오래 지속되고, 영토분쟁(Territorial Disputes)이 숙적관계를 지속시키는 주요인이며, 다른 숙적관계와의 연계성이 적은 숙적들이 오래 지속된다는 비교분석 결과가 나왔다. 또한 전쟁의 횟수는 숙적관계 종식에 큰 영향을 미치지 못하지만 전쟁으로 인해 시작된 숙적관계가 그렇지 않은 경우보다 더욱 오래 지속되는 것으로 확인되었다. 끝으로 2차대전 이전의 숙적관계는 대부분 전쟁을 통해 종식되었지만, 1945년 이후에는 전쟁 없이도 숙적관계가 종식된 경우가 많았음을 보여 주고 있다. 본 연구의 주목적은 "1945년 이후 형성된 숙적관계를 어떻게 종식시킬 수 있을 것인가?"라는 규범적 논제를 통해, 23개의 주요 숙적관계를 발굴하여 거시적, 역사적 관점에서 비교분석함에 있다. 이는 특히 우리나라가 처한 현실과 관련하여 중요한 시사점을 갖는다. 남북관계가 갖는 특수성보다는 1945년 이후 국제정치 역사속에서 발생한 숙적관계 현상이라는 일반성의 틀에서 남북관계를 이해하고자 했다. 남북관계를 베트남, 예멘, 독일 등 분단국가의 사례들과만 비교 연구하는 제한된 시각에서 벗어나, 인도-파키스탄, 그리스-터키, 에콰도르-페루 등 유사한 숙적들 간의 관계들과 비교하는 새로운 연구의 장을 제시하고자 한다. 따라서 앞으로 숙적관계 종식에 대한 더욱 다양화된 사례연구를 통해 한반도 분쟁해결에 필요한 새로운 교훈을 얻을 수 있을 것이다. 예를 들면 2차대전 이후 발생한 국경을 접하고 있는 비강대국들의 평화적인 숙적관계 종식에 대한 사례연구는 남북한이 앞으로 지향해야 할 방향을 제시해 줄 수 있을 것이다. 끝으로 본 연구는 특정한 정책적 함의를 도출하기 보다는 숙적관계와 관련된 하나의 거시적 이론를 제시하고, 주요 숙적관계 국가들에 대한 비교설명을 통해 현존하는 숙적관계 해결을 위한 하나의 분석의 틀을 제시하는 것으로 국제분쟁 연구에 기여하고자 하였다.

• Journal of the Mineralogical Society of Korea
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• v.30 no.3
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• pp.93-102
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• 2017

Heavy mineral provide an important information for sediment provenance as well as a potential submarine mineral resources. We compared the heavy mineral characteristics between Southeastern Yellow Sea Mud (SEYSM) and Southwestern Cheju Island Mud (SWCIM) surface sediments. We separated heavy minerals from 28 surface sediments in each mudbelt, and then carried out stereo-microscopic, field-emission scanning electron microscopic, energy dispersive spectroscopic and electron probe microanalysis to characterize the type, abundance, mineralogical properties and distribution pattern of heavy mineral. Amphibole and epidote, which are two major heavy minerals, account for more than 70% of total heavy minerals. Zircon and sphene contents are more abundant in SEYSM, whereas apatite and rutile contents are more abundant in SWCIM. Monazite only occurs in some area of SEYSM. Sphene and monazite content decrease to the south in SEYSM. Both garnet-zircon index (GZi) and rutile-zircon index (RuZi) are low in SEYSM but high in SWCIM. Amphiboles in SEYSM primarily correspond to hornblende, however those in SWCIM represent variable composition from pargasite, tshermakite, hornblende to tremolite. Garnets in SEYSM have high Mg and low Ca, but those in SWCIM have low Mg with variable Ca. Different heavy mineral characteristics between SEYSM and SWCIM suggests that sediments in each mudbelt have different provenances. Although this study implies that SEYSM sediment may mostly come from nearby Korean western rivers such as the Keum and Han rivers, this study does not suggest any idea of the source area of SWCIM sediment. Further study is needed to interpret the provenance and transportation mechanism of mudbelt sediments through the heavy mineral research for the river sediments flowing into the Yellow Sea and much more marine sediments.