• 제목/요약/키워드: area coverage

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센서 네트워크에서 센싱 반경 교차점 기반 홀 복구 기법 (A Sensing Radius Intersection Based Coverage Hole Recovery Method in Wireless Sensor Network)

  • 우매리
    • 한국멀티미디어학회논문지
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    • 제24권3호
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    • pp.431-439
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    • 2021
  • Since the sensor nodes are randomly arranged in the region of interest, it may happen that the sensor network area is separated or there is no sensor node in some area. In addition, after the sensor nodes are deployed in the sensor network, a coverage hole may occur due to the exhaustion of energy or physical destruction of the sensor nodes. The coverage hole can greatly affect the overall performance of the sensor network, such as reducing the data reliability of the sensor network, changing the network topology, disconnecting the data link, and worsening the transmission load. Therefore, sensor network coverage hole recovery has been studied. Existing coverage hole recovery studies present very complex geometric methods and procedures in the two-step process of finding a coverage hole and recovering a coverage hole. This study proposes a method for discovering and recovering a coverage hole in a sensor network, discovering that the sensor node is a boundary node by itself, and determining the location of a mobile node to be added. The proposed method is expected to have better efficiency in terms of complexity and message transmission compared to previous methods.

The Coverage Area for Extended Delivery Service in Eastern Economic Corridor (EEC): A Case of Thailand Post Co., Ltd

  • AMCHANG, Chompoonut
    • 유통과학연구
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    • 제18권4호
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    • pp.39-50
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    • 2020
  • Purpose: This paper aimed to study the current locations of post offices to analyze service coverage area for parcel delivery in the Eastern Economics Corridor (EEC), which must be considered in the last mile to extend delivery service for e-commerce growth. Thailand Post was the case study in this paper. Research design, data and methodology: To involve solving the delivery service area under the last mile condition, the authors proposed a network analysis to determine service radius by employing a Geographic Information System (GIS). Furthermore, this paper applied Dijkstra's algorithm as a network analysis tool from GIS for analyzing the last mile service coverage area in a new economics zone. At the same time, the authors suggested an approach as a solution to locate last mile delivery center in EEC. Results: The results of the study pointed out that Thailand Post should consider more last mile delivery centers in EEC to support its express service in urban areas as well as improve the efficiency of service coverage for parcel delivery and create more advantages against competitors. Conclusions: This paper proposes a network analysis to extend the last mile service for parcel delivery by following Dijkstra's algorithm from GIS and a solution approach to add more last mile delivery centers. The results of the research will contribute to boosting customer satisfaction for last mile delivery service and enabling easy accessibility to a service center in EEC.

효율적 커버리지 경로 계획 및 동적 환경에서의 경로 주행 (Efficient Coverage Path Planning and Path Following in Dynamic Environments)

  • 김시종;강정원;정명진
    • 로봇학회논문지
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    • 제2권4호
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    • pp.304-309
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    • 2007
  • This paper describes an efficient path generation method for area coverage. Its applications include robots for de-mining, cleaning, painting, and so on. Our method is basically based on a divide and conquer strategy. We developed a novel cell decomposition algorithm that divides a given area into several cells. Each cell is covered by a robot motion that requires minimum time to cover the cell. Using this method, completeness and time efficiency of coverage are easily achieved. For the completeness of coverage in dynamic environments, we also propose a path following method that makes the robot cover missed areas as a result of the presence of unknown obstacles. The effectiveness of the method is verified using computer simulations.

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Extending Ionospheric Correction Coverage Area By Using A Neural Network Method

  • Kim, Mingyu;Kim, Jeongrae
    • International Journal of Aeronautical and Space Sciences
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    • 제17권1호
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    • pp.64-72
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    • 2016
  • The coverage area of a GNSS regional ionospheric delay model is mainly determined by the distribution of GNSS ground monitoring stations. Extrapolation of the ionospheric model data can extend the coverage area. An extrapolation algorithm, which combines observed ionospheric delay with the environmental parameters, is proposed. Neural network and least square regression algorithms are developed to utilize the combined input data. The bi-harmonic spline method is also tested for comparison. The IGS ionosphere map data is used to simulate the delays and to compute the extrapolation error statistics. The neural network method outperforms the other methods and demonstrates a high extrapolation accuracy. In order to determine the directional characteristics, the estimation error is classified into four direction components. The South extrapolation area yields the largest estimation error followed by North area, which yields the second-largest error.

Analysis of spraying performance of agricultural drones according to flight conditions

  • Dae-Hyun Lee;Baek-Gyeom Seong;Seung-Woo Kang;Soo-Hyun Cho;Xiongzhe Han;Yeongho Kang;Chun-Gu Lee;Seung-Hwa Yu
    • 농업과학연구
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    • 제50권3호
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    • pp.427-435
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    • 2023
  • This study was conducted to evaluate the spraying performance according to the flight conditions of agricultural drones for the development of a variable control system. The analyzed flight conditions comprised six factors: spraying direction, flight speed, altitude, wind speed, wind direction, and rotor rotational speed. The ratio of the area sprayed on the water-sensitive paper was used as the coverage, and the distribution and amount of the coverage were evaluated. The coverage distribution based on the distance from the drone was used to evaluate a spray pattern, and the distribution was expressed as a Gaussian function approximation. In addition, the probability distribution based on coverage was expressed as the cumulative probability via Gamma function approximation to analyze the spraying efficiency in the target area. The results showed that the averaged coverage decreased significantly as the flight speed and wind speed increased, and the wind direction changed the spray pattern without a coverage decrease. This study contributes to the development of a control technique for the precision control system of agricultural drones.

The Estimation of the Coverage Probability in a Redundant System with a Control Module

  • Lim, Jae-Hak
    • 한국산업정보학회논문지
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    • 제12권1호
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    • pp.80-86
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    • 2007
  • The concept of the coverage has been played an important role in the area of reliability evaluation of a system. The widely used measures of reliability include the m time between failures, the availability and so on. In this paper, we propose an estimator of the coverage probability in a redundant system with a control unit and investigate some moments of the proposed estimator. And assuming exponential distribution of all units, we conduct a simulation study for calculating the estimates of the coverage probability and its confidence bounds. An example of evaluating the availability of an optical transportation system is illustrated.

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유·무인 항공영상을 이용한 심층학습 기반 녹피율 산정 (Derivation of Green Coverage Ratio Based on Deep Learning Using MAV and UAV Aerial Images)

  • 한승연;이임평
    • 대한원격탐사학회지
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    • 제37권6_1호
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    • pp.1757-1766
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    • 2021
  • 녹피율은 행정구역면적 대비 녹지가 피복된 면적의 비율로, 실질적인 도시녹화 지표로 활용되고 있다. 현재 녹피율은 토지피복지도를 기반하여 산출되는데, 토지피복지도의 낮은 공간해상도와 일정하지 않은 제작시기는 정확한 녹피율 산출과 정밀한 녹피분석을 어렵게 한다. 따라서 본 연구는 새로운 녹피율 산출방안으로 항공영상과 심층학습을 활용한 방안을 제안한다. 항공영상은 높은 해상도와 비교적 일정한 주기로 정밀한 분석을 가능하게 하며 심층 학습은 항공영상 내 녹지를 자동으로 탐지할 수 있다. 지자체는 매년 다양한 목적을 위해 유인항공영상을 취득하여 이를 활용해 신속하게 녹피율을 산출한다. 하지만 미리 취득된 유인항공영상은 취득 시기와 해상도, 센서와 같은 세부사항을 선택할 수 없어 정밀한 분석이 어려울 수 있다. 이러한 한계점은 다양한 센서의 탑재가 가능하고 낮은 고도의 비행으로 인해 고해상도 영상을 취득할 수 있는 무인항공기를 활용하여 보완될 수 있다. 이에 두 가지 항공영상으로부터 녹피율을 산출하였고 그 결과, 모든 녹지 유형으로 부터 높은 정확도로 녹피율을 산출할 수 있었다. 하지만 유인항공영상으로부터 산출된 녹피율은 복잡한 환경에서 한계가 있었다. 이를 보완하고자 활용한 무인항공영상은 복잡한 환경에서도 높은 정확도의 녹피율을 산출할 수 있었고 추가밴드 영상을 통해 더 정밀한 녹지 영역 탐지가 가능했다. 추후 기존 유인항공영상에 새로 취득한 무인항공영상을 보완적으로 사용해 녹피율을 효과적으로 산출할 수 있을 것이라 기대된다.

고속도로 절토비탈면의 식생구조와 천이 (Vegetation Structure and Succession of Highway Cutting-slope Area)

  • 송호경;전기성;이상화;김남춘;박관수;이병준
    • 한국환경복원기술학회지
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    • 제8권6호
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    • pp.69-79
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    • 2005
  • This study was carried out to select proper species for early stage replantation in highway cut-slope area. In highway cut-slope area, sample plots of 106 were selected, and their vegetations and environmental factors were investigated. 1. We found total 172 species in the 106 cutting area of highway. The species of high frequency of highway cut-slope were found in the order of Lespedeza bicolor, Artemisia princeps var. orientalis, Festuca arundinacea, Erigeron annuus, Lespedeza cuneata, Lactuca indica var. laciniata, Eragrostis curvula, Dactylis glomerata, Oenothera lamarckiana, Wistaria floribunda, Humulus japonica, Commelina communis, Miscanthus sinensis, Pueraria thunbergiana, Pinus densiflora, etc. 2. The average vegetation coverage was over 90% in the study sites and the average coverage was 91.4% in the total cut-slope area. The species of high coverage of highway cut-slope area were found in the order of Festuca arundinacea, Eragrostis curvula, Lespedeza bicolor, Wistaria floribunda, Lespedeza cuneata, Dactylis glomerata, Artemisia princeps var. orientalis, Humulus japonica, Pueraria thunbergiana, Robinia pseudoacacia, Poa pratensis, Medicago sativa, Festuca ovina, Pinus densiflora, Parthenocissua tricuspidata, etc. 3. The total coverage in the foreign plants of Festuca arundinacea, Eragrostis curvula, Dactylis glomerata, Poa pratensis, Medicago sativa, Coreopsis drummondii and native plants of Lespedeza bicolor, Wistaria floribunda, Lespedeza cuneata, Amorpha fruticosa, Indigofera pseudotinctoria, Lespedeza cyrtobotrya were 57.52%. That is, the ecological succession of native herbs and parachute shrubs have delayed because the afforested plants occupy 57.52%. In future, the coverage of foreign herbs have to reduce, and the coverage of the native herbs and parachute shrubs must be increased. 4. The native seed of Artemisia sp., Miscanthus sinensis, Smilax china, Pueraria thunbergiana, Rubus crataegifolius, Rubus parvifolius, Pinus densiflora, Rhus chinensis, Albizzia julibrissin, Rhododendron mucronulatum, Clematis apiifolia, Zanthoxylum schinifolium, Prunus sargentii could be added in the seedling of the temperate south zone highway with the used seeds. The native seed of Artemisia sp., Miscanthus sinensis, Rubus crataegifolius, Rhododendron mucronulatum, Weigela subsessilis, Stephanandra incisa, Rhus chinensis, Pinus densiflora, Salix koreensis, Cocculus trilobus, Populus alba, Spiraea prunifolia for. simpliciflora, Clematis apiifolia, Lindera obtusiloba, Quercus serrata, etc., could be added in the seedling of the temperate middle zone highway with the used seeds. 5. We have some recommendation. The native plants have to growth in the highway cut-slope area instead of foreign plants to have good environmental ecology. The role of the foreign plants should be the plant for the initial several years in the highway cut-slope area. And, the native plants should growth in the next season. 6. We should protect shrubs and trees in the highway slope area because shrubs and trees can be more helpful in stabilizing of the slope area than herbs.

Contributions of emergent vegetation acting as a substrate for biofilms in a free water surface constructed wetland

  • Zhao, Ruijun;Cheng, Jing;Yuan, Qingke;Chen, Yaoping;Kim, Youngchul
    • Membrane and Water Treatment
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    • 제10권1호
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    • pp.57-65
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    • 2019
  • This study assessed the contribution of emergent vegetation (Phragmites australis, Typha latifolia, and Nelumbo nucifera) to the submerged surface area, the amount of biofilms attached to the submerged portions of the plants, and the treatment performance of a free water surface (FWS) constructed wetland. Results showed that a 1% increase ($31m^2$) in the vegetative area resulted in an increase of $220m^2$ of submerged surface area, and 0.48 kg Volatile Suspended Solids (VSS) of attached biofilm. As the vegetation coverage increased, effluent organic matter and total Kjeldahl nitrogen decreased. Conversely, a higher nitrate concentration was found in the effluent as a result of increased nitrification and incomplete denitrification, which was limited by the availability of a carbon source. In addition, a larger vegetation coverage resulted in a higher phosphorus in the effluent, most likely released from senescent biofilms and sediments, which resulted from the partial suppression of algal growth. Based on the results, it was recommended that constructed wetlands should be operated with a vegetation coverage of just under 50% to maximize pollutant removal.

무선 센서 네트워크에서 Probabilistic Blanket Coverage에 대한 센싱 모델의 영향 (Impact of Sensing Models on Probabilistic Blanket Coverage in Wireless Sensor Network)

  • 수보드 푸다사이니;강문수;신석주
    • 한국통신학회논문지
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    • 제35권7A호
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    • pp.697-705
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    • 2010
  • WSN에서의 커버리지 문제는 센싱 커버리지에 대한 요구조건을 만족시키기 위해 필요한 최소한의 활동 센서(active sensor)의 개수로 공식화될 수 있다. 일반적으로 확률적 기하학을 이용하여 WSN의 커버리지 분석을 수행하기 때문에 센싱 모델이 커버리지 분석의 핵심 요소로 간주된다. 따라서, 커버리지 분석의 정확도는 어떠한 센싱 모델을 가정하였느냐에 따라 달라질 수 있으며 분석에 사용된 센싱 모델이 얼마나 실 센싱 환경에 가깝게 특성화 되었느냐에 따라 달라진다. 본 논문에서는 Boolean 모델, Exponential 모델, Hybrid 모델 등 다양한 형태의 결정적 혹은 확률적 센싱 모델들을 조사하고 각각의 센싱 모델에 따라 일정 영역을 센싱할 수 있는 최소한의 센서 개수를 도출할 수 있는 수리적 분석을 수행하였으며 이를 통해 성능을 비교 평가하였다.