• Title/Summary/Keyword: Map Coverage

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An Efficient AP Selection Strategy in Wi-Fi based Vechicle-to-Infrastructure Communications (Wi-Fi 기반의 차량과 기지국간 통신에서 효과적인 AP 선택에 관한 연구)

  • Hwang, Jae-Ryong;Lee, Hwa-Ryong;Choi, Jae-Hyuk;Yoo, Joon;Kim, Chong-Kwon
    • The KIPS Transactions:PartC
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    • v.17C no.6
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    • pp.491-498
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    • 2010
  • Wi-Fi based vehicle-to-infrastructure (V2I) communication is an emerging solution to improve the safety, traffic efficiency, and comfort of passengers. However, due to the high mobility of vehicles and the limited coverage of Wi-Fi APs, the V2I system may suffer from frequent handoffs although roadside APs can support cost effective Internet connectivity. Such problem of V2I systems can be overcome with Mobile AP (MAP) platform. The MAPs yield longer service duration by moving along with vehicles, yet they provide a lower link capacities than the roadside APs. In this paper, we propose a new association control mechanism that effectively determines whether the vehicle will select a fixed roadside-AP or a nearby MAP in mobile vehicular network environments. We consider both the achievable link bandwidth and available connection duration as a selection criterion and provide their run-time estimation method. Extensive simulation using real traces show significant performance improvements.

Accuracy Improvement of Vegetation Classification Using High Resolution Imagery and OOC Technique (고해상도 영상자료 및 객체지향분류기법을 이용한 식생분류 정확도 향상 방안 연구)

  • Hong, Chang-Hee;Park, Jong-Hwa
    • Journal of Environmental Impact Assessment
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    • v.18 no.6
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    • pp.387-392
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    • 2009
  • As Our society's environmental awareness and concern the significant increases, the importance of the legal system for environmental conservation such as the Prior Environmental Review System, Environmental Impact Assessment is growing increasingly. but, still critical issues are present such as reliability. Though there could be various causes such as the system or procedures etc. Above all, basically the environmental data problem is the critical cause. Therefore, this study was trying to improve the environmental data accuracy using the high-resolution color aerial photography, LiDAR data and Object Oriented Classification method. And in this study, classification based on coverage percentage of a particular species was attempted through the multi-resolution segmentation and multi-level classification method. The classification result was verified by comparison with 11 points local survey data. All 11 points were classified correctly. And even though the exact coverage percentage of the particular species did not be measured, It was confirmed that the species was occupied similar portion. It is important that the environmental data which can be used for the conservation value assessment could be acquired.

A Error Analysis of Scanning for Topological Data Construction in Geographic Information Systems (GIS의 지형자료 구축을 위한 SCANNING 방법의 오차분석)

  • Yoo, Hwan-Hee
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.10 no.2
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    • pp.37-44
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    • 1992
  • Although scanners are much more expensive than other input devices expect for some low quality devices, raster scanner and vectorizing softwares have been used and will be used as a means for the data entry in GIS. In this study, the accuracy of raster data and vectorizing in data entry by scanning technology, the coverage generation are investigated. As a result, the deterioration of spatial resolution can be improved by using the histogram analysis and the line enhancement when we scan a map at a lower dpi. It is to be desired that a raster scanner dpi is selected 150 dpi or 200 dpi among five densities (75 dpi, 150, dpi, 200 dpi, 300 dpi, 400 dpi) in view of the storage of raster data and the RMSE of coverage generation. Also, it was very important role of the choice of trace parameters to trace raster data in the vectorizing procedure.

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Distant Partners: The Coverage of the Koreas in Poland

  • Marczuk, Karina Paulina;Lee, Hyelim;Gluch, Sylwia
    • Journal of Contemporary Eastern Asia
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    • v.20 no.1
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    • pp.44-72
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    • 2021
  • This study analyses North and South Koreas' coverage as framed by the main Polish press titles from 1989 to 2019. The main method applied is a computational textual analysis of press articles based on frequency, correlations and co-occurrences. The purpose is to map the topics of the examined articles in the context of relations between Poland and the two Koreas in various areas, predominantly political and economic relations. Emphasis is placed on the impact the carmaker Daewoo's investment in Poland in the mid-1990s had on bilateral Polish-South Korean relations. First, the authors argue that Korean issues in the Polish press, mainly in the second half of the 1990s, particularly concerned economic affairs. Secondly, they argue that after Poland's accession to the European Union in 2004, the country's interest in the two Koreas decreased, and since that time has remained at a more or less constant level. Finally, the authors discuss the outcome of the research in the context of the main developments in Polish-Korean relations, taking into consideration the results of a Polish public opinion survey presenting the international linkages between national public opinion and foreign policy.

Density map estimation based on deep-learning for pest control drone optimization (드론 방제의 최적화를 위한 딥러닝 기반의 밀도맵 추정)

  • Baek-gyeom Seong;Xiongzhe Han;Seung-hwa Yu;Chun-gu Lee;Yeongho Kang;Hyun Ho Woo;Hunsuk Lee;Dae-Hyun Lee
    • Journal of Drive and Control
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    • v.21 no.2
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    • pp.53-64
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    • 2024
  • Global population growth has resulted in an increased demand for food production. Simultaneously, aging rural communities have led to a decrease in the workforce, thereby increasing the demand for automation in agriculture. Drones are particularly useful for unmanned pest control fields. However, the current method of uniform spraying leads to environmental damage due to overuse of pesticides and drift by wind. To address this issue, it is necessary to enhance spraying performance through precise performance evaluation. Therefore, as a foundational study aimed at optimizing drone-based pest control technologies, this research evaluated water-sensitive paper (WSP) via density map estimation using convolutional neural networks (CNN) with a encoder-decoder structure. To achieve more accurate estimation, this study implemented multi-task learning, incorporating an additional classifier for image segmentation alongside the density map estimation classifier. The proposed model in this study resulted in a R-squared (R2) of 0.976 for coverage area in the evaluation data set, demonstrating satisfactory performance in evaluating WSP at various density levels. Further research is needed to improve the accuracy of spray result estimations and develop a real-time assessment technology in the field.

Comparison between in situ Survey and Satellite Imagery with Regard to Coastal Habitat Distribution Patterns in Weno, Micronesia (마이크로네시아 웨노섬 연안 서식지 분포의 현장조사와 위성영상 분석법 비교)

  • Kim, Taihun;Choi, Young-Ung;Choi, Jong-Kuk;Kwon, Moon-Sang;Park, Heung-Sik
    • Ocean and Polar Research
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    • v.35 no.4
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    • pp.395-405
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    • 2013
  • The aim of this study is to suggest an optimal survey method for coastal habitat monitoring around Weno Island in Chuuk Atoll, Federated States of Micronesia (FSM). This study was carried out to compare and analyze differences between in situ survey (PHOTS) and high spatial satellite imagery (Worldview-2) with regard to the coastal habitat distribution patterns of Weno Island. The in situ field data showed the following coverage of habitat types: sand 42.4%, seagrass 26.1%, algae 14.9%, rubble 8.9%, hard coral 3.5%, soft coral 2.6%, dead coral 1.5%, others 0.1%. The satellite imagery showed the following coverage of habitat types: sand 26.5%, seagrass 23.3%, sand + seagrass 12.3%, coral 18.1%, rubble 19.0%, rock 0.8% (Accuracy 65.2%). According to the visual interpretation of the habitat map by in situ survey, seagrass, sand, coral and rubble distribution were misaligned compared with the satellite imagery. While, the satellite imagery appear to be a plausible results to identify habitat types, it could not classify habitat types under one pixel in images, which in turn overestimated coral and rubble coverage, underestimated algae and sand. The differences appear to arise primarily because of habitat classification scheme, sampling scale and remote sensing reflectance. The implication of these results is that satellite imagery analysis needs to incorporate in situ survey data to accurately identify habitat. We suggest that satellite imagery must correspond with in situ survey in habitat classification and sampling scale. Subsequently habitat sub-segmentation based on the in situ survey data should be applied to satellite imagery.

Distribution of Antarctic Sea Ice from Satellite Altimetry in the Weddell Sea: Preliminary Results

  • Kim, Jeong-Woo;Hong, Sung-Min;Hwang, Jong-Sun;Yoon, Ho-Il;Lee, Bang-Yong;Kim, Yea-Dong
    • Ocean and Polar Research
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    • v.24 no.3
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    • pp.255-261
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    • 2002
  • We investigated the distribution of sea ice using Topex/Poseidon (T/P) and ERS-1 .ada. altimeter data in the northwest Weddell Sea, Antarctica, between the area $45-75^{\circ}W\;and\;55-66^{\circ}S$. Using the Geo_Bad_1 flag of the Merged GDR of the T/P, we classified the surface into ocean, land, and sea. Total 257 cycles of altimeter measurements between Oct. 1992 and Sep. 1999 (for nearly 2570 days) were used to analyze the distribution of the Antarctic sea ice. We then calculated the surface area of ice coverage using SUTM20 map projection to monitor the periodic variations. Each year, the maximum and minimum coverage of the sea ice were found in late August and February in the study area, respectively. We also studied the sea ice distribution using ERS-1 altimeter data between $45-75^{\circ}W\;and\;55-81.5^{\circ}S$ to compare with the T/P Using the Valid/Invalid flag of the Ocean Product, we analyzed the sea ice distribution between March and August of 1995, which showed very good coherence with the T/P measurements. Our preliminary results showed that the altimeter measurements can be effectively used to monitor the distribution of the sea ice in the polar region. However, the size of radar footprint, typically 2-6km depending on the roughness of the sea surface, may be too big to monitor the sharp boundary between ice and water/land. If more other altimeter mission data with dense coverage such as Geosat GM are analyzed together, this limitation can be significantly improved. If we also combine other microwave remote sensing data such as radiometer, and SSM/I, the result will be significantly enhanced.

A Study on Ecological Evaluation of Habitat Suitability Index using GIS - With a case study of Prionailurus bengalensis in Samjang-Sanchung Road Construction - (GIS를 이용한 서식지적합성지수(HSI)의 생태영향평가 활용방안연구 - 삼장-산청 국도건설공사를 사례에서 삵을 중심으로 -)

  • Lee, Sang-Don;Kwon, Ji-Hye;Kim, Ah-Ram;Jung, Ji-Hyang
    • Journal of Environmental Impact Assessment
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    • v.21 no.5
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    • pp.801-811
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    • 2012
  • For biodiversity conservation, Biological Impact Assessment is very important. The focus of the study is to enhance efficient Environment Impact Assessment(EIA) based on collecting existing information of endangered species covering the status survey, estimation of effects and reducing methods. Habitat Suitability Index(HSI) can be applicable to Ecological Impact Assessment and finding various reducing methods based on estimating effects. For this study, the EIA report of Samjang - Sanchung highway construction was chosen as an example and Prionailurus bengalensis euptilura as an endangered species was chosen to assess the ecosystem impact on road construction. Water, road, ground coverage, slope, altitude as variables of habitat were weighted and final HSI map was calculated using Arc map and Arc view. Through comparing of before and after HSI, quantitative estimating on effects was possible to minimize impact of road construction to wildlife habitat.

Village Wetlands Inventory and Conservation Strategy in Cheonan (천안시 마을습지 인벤토리구축 및 보전전략)

  • Park, Mi Ok;Lim, Su Hyun;Li, Lan;Kim, Bo Heui;Yang, Seung Bin;Koo, Bon Hak
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.17 no.6
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    • pp.39-50
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    • 2014
  • This study was conducted to establish inventory and propose conservation strategy of 'village wetlands' in Cheonan. As results, the village wetlands are defined as such places as palustrine wetland, village embankment, agricultural reservoir or small reservoirs located in or near the village and related to everyday life or farming. Firstly 791 provisional village wetlands were identified in Cheonan by using Arc-GIS 10.1, then 104 wetlands were defined as village wetlands and listed the inventory of Cheonan Village Wetlands after being validated through their area (greater than $1,000m^2$), satellite images, Korea Land Information System, land use map, land coverage map and field survey. Finally the 49 wetlands were selected for detailed surveying, and function assessment. As the result of the wetland function assessments, 11 wetlands were found to have 'high' wetland function (conservation) 30 wetlands were 'average' (enhancement) and 8 wetlands were 'low' (restoration or enhancement). Enhancing biodiversity and ecosystem services through ecological management of wetlands in Cheonan and connecting with an ecological network were proposed.

Energy-Efficient Resource Allocation for Heterogeneous Cognitive Radio Network based on Two-Tier Crossover Genetic Algorithm

  • Jiao, Yan;Joe, Inwhee
    • Journal of Communications and Networks
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    • v.18 no.1
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    • pp.112-122
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    • 2016
  • Cognitive radio (CR) is considered an attractive technology to deal with the spectrum scarcity problem. Multi-radio access technology (multi-RAT) can improve network capacity because data are transmitted by multiple RANs (radio access networks) concurrently. Thus, multi-RAT embedded in a cognitive radio network (CRN) is a promising paradigm for developing spectrum efficiency and network capacity in future wireless networks. In this study, we consider a new CRN model in which the primary user networks consist of heterogeneous primary users (PUs). Specifically, we focus on the energy-efficient resource allocation (EERA) problem for CR users with a special location coverage overlapping region in which heterogeneous PUs operate simultaneously via multi-RAT. We propose a two-tier crossover genetic algorithm-based search scheme to obtain an optimal solution in terms of the power and bandwidth. In addition, we introduce a radio environment map to manage the resource allocation and network synchronization. The simulation results show the proposed algorithm is stable and has faster convergence. Our proposal can significantly increase the energy efficiency.