• Title/Summary/Keyword: Overlay model

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A Development of Prediction Model for Traffic Opening Time of Epoxy Asphalt Pavement Using Nonlinear Curve Fitting (비선형 커브피팅을 이용한 에폭시 아스팔트 포장의 교통개방 예측 모델 개발)

  • Jo, Shin Haeng;Kim, Nakseok
    • Journal of the Society of Disaster Information
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    • v.9 no.3
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    • pp.324-331
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    • 2013
  • Epoxy asphalt concrete is used to reduce dead load and to increase durability on long-span steel bridge overlay. The strength development properties of epoxy asphalt concrete are affected by time and temperature because epoxy asphalt is two-phase reactive materials. The strength development of epoxy asphalt concrete should be predicted precisely to decide traffic opening time. Based on this background in mind, the prediction model for traffic opening time for epoxy asphalt pavement was proposed in this research. The developed model using nonlinear curve fitting revealed R2 value of 0.943 while the R2 value of the existing model using chemical kinetics was 0.806. An improved precise prediction result is to be obtained when the prediction model uses accurate temperature data of pavement.

Wildlife Habitat Prediction Model based on Specialist's Experience - A Case Study of Daecheoncheon.Cheongradam - (전문조사원 경험에 의한 야생동물 서식지 예측모형 - 대천천.청라댐 유역을 대상으로 -)

  • Jang, Raeik;Lee, Myoun-Woo
    • Korean Journal of Environment and Ecology
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    • v.28 no.4
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    • pp.393-403
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    • 2014
  • The aim of this study was to use the information deduced from biotopemap in Boryeong, Chungnam province conducted in 2011 and to select the wildlife survey point. The information used for the study was deduced from the knowledge and experience of wildlife specialists and was realized by 6 environmental variables (Outside distance from food vegetation, Outside distance from farm land, Outside distance from forest, Human density, Outside distance from road, Outside distance from water). 6 environmental variables were modeled by map overlay method and the model could deduce the correlation of 94.72% as a result of comparing with occurrence information. The areas predicted to have many occurrences were rural landscapes, forests, and valleys, and they can be used to deduce the quality wildlife survey results in the limit of survey range (area, schedule, and budget). However, it had the limit points such as the inside of forests was excluded, all species did not prefer the same habitat. The following studies are needed for this part in the future.

A Study on the extraction of hydrologic-Model input parameter using GSIS (GSIS를 이용한 수문모형 입력매개변수 추출에 관한 연구)

  • Lee, Geung-Sang;Chae, Hyo-Seok;Park, Jeong-Nam;Cho, Gi-Sung
    • Journal of Korean Society for Geospatial Information Science
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    • v.8 no.2 s.16
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    • pp.11-22
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    • 2000
  • It needs to extract the accurate topological characteristics and hydrological parameters of watershed in order to manage water resource efficiently. But, these data are processed yet by manual wok and simple operation in hydrologic fields. In this paper, we presented algorithm that could extract topological characteristics and hydrological parameters over watershed using GSIS and it gives the saving of data processing tin and the confidency of data. We presented coupling method between GSIS and hydrologic model by using extracted parameters into the input parameter of HEC-HMS hydrologic model. The extraction procedure of topological characteristics and hydrological parameters is as below. First, watershed and stream are extracted by DEM and curve unmber is extracted throughout the overlay of landuse map and soil map. Also, we extracted surface parameters like the length of the longest flow path and the slope of the longest flow path by Grid computation into watershed and stream. And we gave the method that could extract hydrologic parameters like Muskingum K and sub-basin lag tin by executing computation into surface parameters and average Sn curve number being extracted.

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A Study on the Site Selection of Public Libraries Using Analytic Hierarchy Process Technique and Geographic Information System (계층분석법과 지리정보시스템을 이용한 공공도서관 입지선정에 관한 연구)

  • Park, Sung-Jae;Lee, Jee-Yeon
    • Journal of the Korean Society for information Management
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    • v.22 no.1 s.55
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    • pp.65-85
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    • 2005
  • This study proposes a new site selection model which reflects integrated opinions of several groups and identifies sites through objectivity of selection procedure. The proposed model consists of two parts, Analytic Hierarchy Process(AHP) and Geographic Information(GIS). This model was applied to Seocho-gu in Seoul. First, library site selection criteria were determined through literature study. Hierarchical relationship based on the questionnaire was determined and refined to be suited to Seocho-gu case. A survey was conducted with three groups, namely, library users, librarians, and public worker. A few inconsistent answers to the survey questionnaire were excluded and the relative importance of each criterion was measured. Next, an overlay method was used and the relative importance was used as a weight for selecting candidates. This process excluded the areas where a library was unable to be built, for example, rivers, military areas, other restricted areas by law, etc. and resulted in seventy-five sites. Five groups of candidates were identified according to the similarity of criteria. Finally, four groups, after eliminating one lowly fitted group, were determined.

Specialization Strategy for Regional Agriculture Based on the Relationship between Development on Specialized Crops and Impact of Climate Change -Focused on Orchard Crops- (특화작목과 기후변화 간 영향 분석을 통한 지역농업 활성화 전략 연구 -과수를 중심으로-)

  • Hwang, Jae-Hee;Kim, Hyun-Joong;Lee, Seong-Woo
    • Journal of Korean Society of Rural Planning
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    • v.18 no.3
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    • pp.149-164
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    • 2012
  • The purpose of the present study is to construct a rural development strategy from the nexus between spatial changes in specialized crops and suitable cultivation area of the crops. This paper pays particular attention to identify product life cycle of specialized crops in rural areas and estimate the impact of climate change on alterations in spatial distribution of the crops. In order to do so, first of all, this study applies multi-level model (Random coefficient model) to estimate the regional coefficient of five orchard crops. It utilizes the data 1995 to 2010 Korea Agricultural Census. Futhermore, it also adopts overlay analysis by ArcGIS to identify the development path of the crops and the relationship with climate change. Based on the results, it suggests a mechanism activating regional agriculture. The findings propose re-searching and relocating specialized regions of the crops. Especially, it proves each rural area can drive the new agricultural strategy to strengthen regional agriculture by estimating the relationship between development of specialized crops and suitable cultivation areas. For instance, shifting specialized crops in particular regions and enriching genetic or species varieties can be primary measures and it will contribute to improve the reliable base for income sources in the rural communities. This paper also offers specific policy implications regarding rural development plans in response to crops' life cycle and climate changes.

A Distributed Scheduling Algorithm based on Deep Reinforcement Learning for Device-to-Device communication networks (단말간 직접 통신 네트워크를 위한 심층 강화학습 기반 분산적 스케쥴링 알고리즘)

  • Jeong, Moo-Woong;Kim, Lyun Woo;Ban, Tae-Won
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.11
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    • pp.1500-1506
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    • 2020
  • In this paper, we study a scheduling problem based on reinforcement learning for overlay device-to-device (D2D) communication networks. Even though various technologies for D2D communication networks using Q-learning, which is one of reinforcement learning models, have been studied, Q-learning causes a tremendous complexity as the number of states and actions increases. In order to solve this problem, D2D communication technologies based on Deep Q Network (DQN) have been studied. In this paper, we thus design a DQN model by considering the characteristics of wireless communication systems, and propose a distributed scheduling scheme based on the DQN model that can reduce feedback and signaling overhead. The proposed model trains all parameters in a centralized manner, and transfers the final trained parameters to all mobiles. All mobiles individually determine their actions by using the transferred parameters. We analyze the performance of the proposed scheme by computer simulation and compare it with optimal scheme, opportunistic selection scheme and full transmission scheme.

Dynamic AOI Management for P2P MMOGs (P2P MMOGs에 대한 동적 AOI 관리기법)

  • Lim, Chae-Gyun;Rho, Kyung-Taeg
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.10 no.6
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    • pp.269-273
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    • 2010
  • Massively Multiplayer Online Game (MMOG) is one of diverse applications where more than hundreds of users enjoy experiencing virtual worlds. Voronoi-based Overlay Network (VON) is proposed to reduce a bandwidth consumption in P2P MMOGs and Vorocast also is made using message forwarding in VON. We propose a dynamic area of interest (AOI) management method that solves problems such as less consistency and high latency due to sending position updates to more neighbor nodes from the message originator in forwarding scheme. Our scheme provides the higher consistency and reduces latency by combining direct connection scheme and Vorocast scheme compared to existing schemes. The proposed model is evaluated through simulations.

Self-localization of a Mobile Robot for Decreasing the Error and VRML Image Overlay (오차 감소를 위한 이동로봇 Self-Localization과 VRML 영상오버레이 기법)

  • Kwon Bang-Hyun;Shon Eun-Ho;Kim Young-Chul;Chong Kil-To
    • Journal of Institute of Control, Robotics and Systems
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    • v.12 no.4
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    • pp.389-394
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    • 2006
  • Inaccurate localization exposes a robot to many dangerous conditions. It could make a robot be moved to wrong direction or damaged by collision with surrounding obstacles. There are numerous approaches to self-localization, and there are different modalities as well (vision, laser range finders, ultrasonic sonars). Since sensor information is generally uncertain and contains noise, there are many researches to reduce the noise. But, the correctness is limited because most researches are based on statistical approach. The goal of our research is to measure more exact robot location by matching between built VRML 3D model and real vision image. To determine the position of mobile robot, landmark-localization technique has been applied. Landmarks are any detectable structure in the physical environment. Some use vertical lines, others use specially designed markers, In this paper, specially designed markers are used as landmarks. Given known focal length and a single image of three landmarks it is possible to compute the angular separation between the lines of sight of the landmarks. The image-processing and neural network pattern matching techniques are employed to recognize landmarks placed in a robot working environment. After self-localization, the 2D scene of the vision is overlaid with the VRML scene.

Adaptive Hypermedia for eLearning: An Implementation Framework

  • Dutta, Diptendu;Majumdar, Shyamal;Majumdar, Chandan
    • Journal of Korea Multimedia Society
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    • v.6 no.4
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    • pp.676-684
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    • 2003
  • eLearning can be defined as an approach to teaching and teaming that utilises Internet technologies to communicate and collaborate in an educational context. This includes technology that supplements traditional classroom training with web-based components and learning environments where the educational process is experienced online. The use of hypertext as an educational tool has a very rich history. The advent of the internet and one of its major application, the world wide web (WWW), has given a tremendous boost to the theory and practice of hypermedia systems for educational purposes. However, the web suffers from an inability to satisfy the heterogeneous needs of a large number of users. For example, web-based courses present the same static teaming material to students with widely differing knowledge of the subject. Adaptive hypermedia techniques can be used to improve the adaptability of eLearning. In this paper we report an approach to the design a unified implementation framework suitable for web-based eLearning that accommodates the three main dimensions of hypermedia adaptation: content, navigation, and presentation. The framework externalises the adaptation strategies using XML notation. The separation of the adaptation strategies from the source code of the eLearning software enables a system using the framework to quickly implement a variety of adaptation strategies. This work is a part of our more general ongoing work on the design of a framework for adaptive content delivery. parts of the framework discussed in this paper have been imulemented in a commercial eLearning engine.

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Performance Modeling of STTC-based Dual Virtual Cell System under the Overlay Convergent Networks of Cognitive Networking (중첩 융합 네트워크 환경을 고려한 STTC기반 이중 셀 시스템 분석 모델)

  • Choi, YuMi;Kim, Jeong-Ho
    • Journal of the Institute of Electronics and Information Engineers
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    • v.49 no.12
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    • pp.20-26
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    • 2012
  • The newly introduced model of a STTC-based Distributed Wireless Communication System (DWCS) can provide the capability of joint control of the signals at multiple cells. This paper has considered the virtual cell systems: the Dual Virtual Cell (DVC), and also proposes DVC employment strategy based on DWCS network. The considered system constructs DVC by using antenna selection method. Also, for multi-user high-rate data transmission, the proposed system introduces multiple antenna technology to get a spatial and temporal diversity gain and exploits space-time trellis codes known as STTC to increase a spectral efficiency.