• Title/Summary/Keyword: Regional Network

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Prediction of Daily Maximum SO2 Concentrations Using Artificial Neural Networks in the Urban-industrial Area of Ulsan (인공신경망 모형을 이용한 울산공단지역 일 최고 SO2 농도 예측)

  • Lee, So-Young;Kim, Yoo-Keun;Oh, In-Bo;Kim, Jung-Kyu
    • Journal of Environmental Science International
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    • v.18 no.2
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    • pp.129-139
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    • 2009
  • Development of an artificial neural network model was presented to predict the daily maximum $SO_2$ concentration in the urban-industrial area of Ulsan. The network model was trained during April through September for 2000-2005 using $SO_2$ potential parameters estimated from meteorological and air quality data which are closely related to daily maximum $SO_2$ concentrations. Meteorological data were obtained from regional modeling results, upper air soundings and surface field measurements and were then used to create the $SO_2$ potential parameters such as synoptic conditions, mixing heights, atmospheric stabilities, and surface conditions. In particular, two-stage clustering techniques were used to identify potential index representing major synoptic conditions associated with high $SO_2$ concentration. Two neural network models were developed and tested in different conditions for prediction: the first model was set up to predict daily maximum $SO_2$ at 5 PM on the previous day, and the second was 10 AM for a given forecast day using an additional potential factors related with urban emissions in the early morning. The results showed that the developed models can predict the daily maximum $SO_2$ concentrations with good simulation accuracy of 87% and 96% for the first and second model. respectively, but the limitation of predictive capability was found at a higher or lower concentrations. The increased accuracy for the second model demonstrates that improvements can be made by utilizing more recent air quality data for initialization of the model.

Design and Implementation of a TMN-based Intelligent Network Number Portability Service Management System using CORBA (CORBA를 이용한 TMN 기반의 지능망 번호 이동성 서비스 관리 시스템 설계 및 구현)

  • An, Suk-Kyung;Hong, Won-Ki;Kim, Sang-Ki
    • Journal of KIISE:Computing Practices and Letters
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    • v.6 no.2
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    • pp.225-233
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    • 2000
  • Local Number Portability (LNP), an Intelligent Network (IN) service, provides the ability to retain existing telephone numbers when switching from one telecommunications carrier to another, from one region to another, or from one service to another. Local Number Portability (LNP), an Intelligent Network (IN) service, provides the ability to retain existing telephone numbers when switching from one telecommunications carrier to another, from one region to another, or from one service to another. LNP is a key service for increasing competition in the local telephone marketplace. Many countries are now establishing detailed rules for ensuring competition between network operators. Because many major carriers will deploy their own LNP databases, a single access point must be provided to effectively manage and distribute updates to the common regional LNP database. This is called Number Portability Administration Center (NPAC). Recently, CORBA is being accepted as one of the key technologies for developing distributed application systems. To use CORBA for managing IN services, several standard organizations are working towards the integration of IN, TMN and CORBA. In this paper, we present our work on applying the TMN and CORBA technology for the service management of LNP. We first propose a CORBA-based LNP service management system architecture, We then present the design and implementation of a LNP service management system using CORBA.

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Social Vulnerability Assessment by Resident's Conflict Analysis on Rural Development Project of Region Unit (권역단위사업에서 주민 갈등 분석에 의한 사회적 취약성 평가)

  • Rhee, Shin Ho;Min, Heung Gi;Yoon, Sung Soo;Jung, Nam Su;Chang, Woo Seok
    • Journal of Korean Society of Rural Planning
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    • v.21 no.1
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    • pp.77-87
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    • 2015
  • In this study, we try to quantify resident's conflict by rural development project based on previous researches about community capacities required for residents and social networks in rural village for suggesting efficient project model. we analyzed conflict elements in six category such as 'conflict in residents', 'conflict in residents and leaders', 'conflict in leaders', 'conflict in villages', 'conflict in development fund', 'conflict in village by common income project'. These results also analyzed by personal background(age, role, education, income) of respondent in questionary survey. Results show that 'conflict in residents and leaders', 'conflict in leaders', 'conflict in development fund' are perceived differently by age, role, education, and income in 5% significance level. Especially, relatively young age(below 40 years old) expressed clearly about conflict and high scored in item of 'residents and leaders'. Regression model show statistical significance(F=39.807, P=0.000) in influence relation analysis of conflict, network, leadership, and project fund. In this model, network ${\beta}=-0.237$, leadership ${\beta}=-0.375$, project fund ${\beta}=-0.000$ show network and leadership have negative relation to conflict but project fund is difficult to find relation with conflict. In this study, we defined social vulnerability using conflict, network, and leadership and verified the vulnerability of rural village applying regional community capacity in analysis results; vulnerability increased by the size of region and show inverse correlation to future vision of residents.

Analysis of the Spatio-temporal Migration and Degree Centrality of Migration Network (지역 간 시계열 인구이동의 정량적 특징 분석 및 인구이동 네트워크의 연결중심성 분석)

  • Lee, Sang-Hyun;Oh, Yun-Gyeong
    • Journal of The Korean Society of Agricultural Engineers
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    • v.59 no.5
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    • pp.1-15
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    • 2017
  • In this study, we visualized the regional migration in Korea from 2001 to 2015 using the Chord diagram which can represents amount of migration and flows at the same time. In addition, we constructed a migration network and analyzed the degree centrality of each region for identifying the main regions linking to various regions. In 2001~2005, most of population moved into Geonggi from various regions. However, the capital function was transferred to Sejong in 2011~2015, and population moving into Sejong and Chungnam was increased significantly. The main outflow of population in migration network were shown at the regions in Jeonbuk and Gyeongbuk province in 2001~2004, and recently the regions in Gyeongnam, Gyeonggi, and Seoul were identified as the main nodes in terms of outflow of population. We also focused on migration in rural area through degree centrality, and cord diagram in Chungnam, Jeonbuk, and Jeonnam where include the representative crop area. In 2015. there was the significant increase of migration from Gyeonggi to Chungnam, and internal migration within Jeonbuk increased rather than cross-border migration. In addition, migration from Jeonam to capital area decreased in 2015 but migration among cities within Jeonman increased. In particular, Yesan-gun showed the significant migration to other cities in Jeonnam. Population is necessary to develop community and sustain economic growth in rural regions. Therefore, migration is important for the transfer of manpower. The strength of this study is to approach the temporal change of migration from the viewpoint on quantitative and structural characteristics.

A Study on Construction of Roundabouts considering the Effects for Adjacent Intersections in Urban Network (인접교차로 영향을 고려한 회전교차로 도입방안 연구)

  • Lee, Dong-Min;Kim, Do-Hun
    • Journal of Korean Society of Transportation
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    • v.29 no.5
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    • pp.79-89
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    • 2011
  • Though many studies regarding roundabout have been recently conducted, most of them have focused on operational aspect. Moreover, majority of the previous researches analyzes operational effects of single roundabout, but seldom investigate the effects of multi-roundabouts constructed on road networks. In this study, we seek ways to construct multiple roundabouts on road network maximizing their operational effects. The analysis investigate influence of both adjacent signalized and unsignalized intersections as well as influence of the distance from those intersections to roundabouts. The results show that the optimal distance between two adjacent intersections were calculated to be 150m, and any two intersections located within 150m apart influence each other thus imposing operational restrictions on each other. In addition, those results are confirmed using simulation analysis conducted on the real urban network in Nonheon regional area, Incheon City.

An Analysis on Development of Shipping and Inland Networks of Gwangyang Container Port (광양항 해운과 내륙 네트워크 발달에 대한 고찰)

  • Park, YongAn
    • Journal of Korea Port Economic Association
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    • v.28 no.3
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    • pp.215-234
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    • 2012
  • Since ports play a role of gateway to the sea and hinterlands, it is essential to analyse the networks of shipping and inland when evaluating the function and development of a port. The container port of Gwangyang, starting to operate its facilities in 1998, has developed itself as a hub port. Using the data of shipping schedules of Korean ports and the measurement of centrality in sociology, this study analyses the process of world-wide shipping network expansion in Gwangyang and concludes some implications including earlier development of shipping networks due to incentives to shipping companies. Although Gwangyang port also has been expanding its inland network through developing trucking, railway transport, and coastal shipping, it has weakness in inland network as in the cases of interruption in 2004, resumption in 2009 and re-interruption in 2012 at coastal shipping. In 2000s the expansion of shipping and inland networks at the newly built container ports such as Pyungtaek, Ulsan, and Gunsan has enticed the competition among Korean ports at each hinterland. Nevertheless, the operation of Gwangyang container port is considered to affect indirectly the relocation of some manufacturers including Samsung Electronics. Studies on interrelation between development of container port and geographical demography of manufacturers are needed to assess the effects of container port on regional economy.

Quantitative Evaluation Indicators for the City Bus Route Network (시내버스노선체계 평가를 위한 정량적 지표의 설정 및 적용)

  • 이상용;박경아
    • Journal of Korean Society of Transportation
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    • v.21 no.4
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    • pp.29-44
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    • 2003
  • A balanced evaluation system for a bus route network was proposed for a mid-sized suburban city. The evaluation system consists of 7 criteria-accessibility, riding comfort. transfer rate, directness of route, productivity of operation, regional equity, and minimum requirement of bus fleet - and quantitative indicators representing each of the criteria. The proposed system was applied in Siheung, a suburban city in Seoul Metropolitan Area. Four alternative scenarios of bus route network including the existing one were evaluated. The results showed that the suggested criteria and indicators are acceptable for the evaluation of a bus route network. In order to enhance the proposed evaluation procedure, further studies on the normalization of produced values and weights for each of the indicators are needed.

A Black Ice Recognition in Infrared Road Images Using Improved Lightweight Model Based on MobileNetV2 (MobileNetV2 기반의 개선된 Lightweight 모델을 이용한 열화도로 영상에서의 블랙 아이스 인식)

  • Li, Yu-Jie;Kang, Sun-Kyoung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.12
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    • pp.1835-1845
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    • 2021
  • To accurately identify black ice and warn the drivers of information in advance so they can control speed and take preventive measures. In this paper, we propose a lightweight black ice detection network based on infrared road images. A black ice recognition network model based on CNN transfer learning has been developed. Additionally, to further improve the accuracy of black ice recognition, an enhanced lightweight network based on MobileNetV2 has been developed. To reduce the amount of calculation, linear bottlenecks and inverse residuals was used, and four bottleneck groups were used. At the same time, to improve the recognition rate of the model, each bottleneck group was connected to a 3×3 convolutional layer to enhance regional feature extraction and increase the number of feature maps. Finally, a black ice recognition experiment was performed on the constructed infrared road black ice dataset. The network model proposed in this paper had an accurate recognition rate of 99.07% for black ice.

A Study on the Effects of Social Capital on Collaborative governance (사회적자본이 협력적거버넌스에 미치는 영향에 관한 연구)

  • Yu, Mi-Hyun;Na, Ju-Mong
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.7 no.4
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    • pp.37-46
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    • 2017
  • In this research, we conducted an empirical study on the influence of social capital on cooperative governance for the Gwangju city social economy. The results of the study are as follows. First, the social capital factor commonly affecting cooperative governance is trust. Secondly, we were able to learn that there was a difference in the results of the hierarchical regression analysis to grasp the magnitude of the relative influence of detailed elements of social capital by cooperative governance factors in order. Network(4.843) exerted the most influence in Common Decision-making, followed by Trust(3.855). Trust(3.130) exerted the most influence on Management of Governance, followed by Network(2.936). Network(2.647) exerted the most influence on Cowork System, followed by Trust(2.244). Finally, Network(4.153) exerted the most influence on Partnership Building, followed by Trust(2.244). In particular, 'Participation' was an important factor in 'Co-work System'.

Comparative Exploration of Gyeongin Ara Waterway Recognition Before and After COVID-19 Outbreak Using Unstructured Big Data (비정형 빅데이터를 활용한 코로나19 발병 전후 경인 아라뱃길 인식 비교 탐색)

  • Han Jangheon
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.20 no.1
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    • pp.17-29
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    • 2024
  • The Gyeongin Ara Waterway is a regional development project designed to transport cargo by sea and to utilize the surrounding waterfront area to enjoy tourism and leisure. It is being used as a space for demonstration projects for urban air transportation (UAM), which has recently been attracting attention, and various efforts are being made at the local level to strengthen cultural and tourism functions and revitalize local food. This study examined the perception and trends of tourism consumers on the Gyeongin Ara Waterway before and after the outbreak of COVID-19. The research method utilized semantic network analysis based on social network analysis. As a result of the study, first, before the outbreak of COVID-19, key words such as bicycle, Han River, riding, Gimpo, Seoul, hotel, cruise ship, Korea Water Resources Corporation, emotion, West Sea, weekend, and travel showed a high frequency of appearance. After the outbreak of COVID-19, keywords such as cafe, discovery, women, Gimpo, restaurant, bakery, observatory, La Mer, and cruise ship showed a high frequency of appearance. Second, the results of the degree centrality analysis showed that before the outbreak of COVID-19, there was increased interest in accommodations for tourism, such as Marina Bay and hotels. After the outbreak of COVID-19, interest in food such as specific bakeries and cafes such as La Mer was found to be high. Third, due to the CONCOR analysis, five keyword clusters were formed before the outbreak of COVID-19, and the number of keyword clusters increased to eight after the outbreak of COVID-19.