• Title/Summary/Keyword: neighborhood network

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Sliding Manifold Tuning Method Using Wavelet Neural Network (웨이브릿 신경회로망을 활용한 슬라이딩 매니폴드 조정기법)

  • 홍석우;전홍태
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2000.11a
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    • pp.195-198
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    • 2000
  • Sliding mode control method is popularly used for robustness to distrurbance and variance of systems internal parameter. However, one of the serious problem of this method is Chattering which occurs in neighborhood of sliding manifold. Another problem is that we cannot expect robustness before system starts sliding mode. A new tuning method of sliding manifold which changes the parameter of sliding manifold dynamically using Wavelet Neural Network is proposed in this paper. We can expect the better performance in sliding mode control by the wavelet neural networks excellent property of approximating arbitrary function for multi-resolution analysis and decrease chattering drastically.

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The Design of Self-Organizing Map Using Pseudo Gaussian Function Network

  • Kim, Byung-Man;Cho, Hyung-Suck
    • 제어로봇시스템학회:학술대회논문집
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    • 2002.10a
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    • pp.42.6-42
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    • 2002
  • Kohonen's self organizing feature map (SOFM) converts arbitrary dimensional patterns into one or two dimensional arrays of nodes. Among the many competitive learning algorithms, SOFM proposed by Kohonen is considered to be powerful in the sense that it not only clusters the input pattern adaptively but also organize the output node topologically. SOFM is usually used for a preprocessor or cluster. It can perform dimensional reduction of input patterns and obtain a topology-preserving map that preserves neighborhood relations of the input patterns. The traditional SOFM algorithm[1] is a competitive learning neural network that maps inputs to discrete points that are called nodes on a lattice...

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A Study on the Changes of Low-rise Residential Neighborhood with the Spread of Consumption-biased Cultural Space - Focused on the Yeonnam-dong Area - (문화소비공간의 확산에 따른 저층주거지 변화 특성 연구 - 연남동 일대를 중심으로 -)

  • Kim, Shinsung
    • Journal of the Korean housing association
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    • v.27 no.4
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    • pp.77-88
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    • 2016
  • Low-rise Residential neighborhoods of Hongdae area, Garosu-gil, Samchung-dong, Itawon etc. are currently emerging new spaces for cultural consumption in the city. Nonetheless undiscerning excessive commercialization often results in monotonous urban space and deportation of residents and leaders of change; Due to commercialization and popularization recently this phenomenon is influencing surrounding low-rise residential neighborhoods. The main objective of this study is to examine how surrounding low-rise residential neighborhood transforms according to the expansion of culture-commerce spaces. Hongdae area's culture-commerce spaces and its expansion into Yeonnam-dong is investigated in specific. Especially attributes and main causes of transformation in physical and experiential space of neighborhood living facilities and residential buildings, when changed into culture-commerce related use is examined in detail. The expansion of culture-commerce space of Hongdae to Yeonnam-dong area has positive meaning in aspects of everyday experience. First, physical alteration of street-building relation increases direct and indirect contact of people. Contact opportunity carries important meaning in sense that it is prerequisite for next stage contact of network and exchange. Second, culture-commerce related programs provide the third place, where various leisure activities can take place. Attributes of transformation and positive meaning of culture-commerce spaces expanding its territory presents the need of management.

Assessment on Location Characteristics of Urban Park as Public Service Using Geographic Information Analysis System: Focused on Cheongju City (지리정보분석시스템을 활용한 공공서비스로서의 도시공원 입지특성 평가 - 충북 청주시를 대상으로 -)

  • Bae, Min-Ki
    • Journal of Environmental Impact Assessment
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    • v.22 no.3
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    • pp.231-240
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    • 2013
  • The Purpose of this research was to propose positioning strategies of urban park (UP) based on the assessment of location characteristics at cheongju city. To do that, this research found out urban park service area (UPSA) using GIS network analysis and built socio-economic attribute database, UP map, and other public service thematic maps such as public transportation, education, child-care, and convenience services. And this research analyzed spatial and attribute data using Pearson's correlation analysis, multiple linear regression, and binary logistic regression methods. As a result of this analysis, 1) the nearer neighborhood park and children's park, the higher land price and assumption income level (AIL). 2) children's parks were closed to living convenience facilities such as bank, hospital, and convenience store. 3) land price, AIL, population, and other public services level (PSL) in UPSA were higher than that of non-UPSA. 4) The higher land price, AIL, population, and other PSL, the higher urban park service level. The results of this research may contribute to resolve the regional UP unbalance and to improve UP service level as public service.

On Hybrid Re-Broadcasting Techniques in Vehicular Ad Hoc Networks

  • Hussain, Rasheed;Abbas, Fizza;Son, Junggab;Oh, Heekuck
    • Proceedings of the Korea Information Processing Society Conference
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    • 2013.05a
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    • pp.610-613
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    • 2013
  • Vehicular Ad Hoc NETwork (VANET), a subclass of Mobile Ah Hoc NETwork (MANET) has been a tech-buzz for the last couple of decades. VANET, yet not deployed, promises the ease, comfort, and safety to both drivers and passengers once deployed. The by far most important factor in successful VANET application is the data dissemination scheme. Such data includes scheduled beacons that contain whereabouts information of vehicles. In this paper, we aim at regularly broadcasted beacons and devise an algorithm to disseminate the beacon information up to a maximum distance and alleviate the broadcast storm problem at the same time. According to the proposed scheme, a vehicle before re-broadcasting a beacon, takes into account the current vehicular density in its neighborhood. The re-broadcasters are chosen away from the source of the beacon and among the candidate re-broadcasters, if the density in the neighborhood is high, then the candidate rebroadcaster re-broadcasts the beacon with high probability and with low probability, otherwise. We also performed thorough simulations of our algorithms and the results are sound according to the expectations.

A Comparison of Neighborhood Definition Methods for Spatial Autocorrelation (공간자기상관 산출을 위한 인접성 정의 방법 비교)

  • Park, Jae-Moon;Hwang, Do-Hyun;Yoon, Hong-Joo
    • Journal of Fisheries and Marine Sciences Education
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    • v.23 no.3
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    • pp.477-485
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    • 2011
  • For the identifying of spatial distribution pattern, Moran's Index(I) which has the range of values from -1 to +1 is common method for the spatial autocorrelation measurement. When I is close to 1, all neighboring features have close to the same value, indicating clustered pattern. Conversely, if the spatial pattern is dispersed, I is close to -1. And I closing to 0 means spatially random pattern. However, this index equation is influenced by how defining the neighboring features for target feature. To compare and understand the difference of neighborhood definition methods, fixed distance neighboring method and Gabriel Network method were used for I. In this study, these two methods were applied to two marine environments with water quality data. One is Gwangyang Bay which has complex geometric coastal structure located in South Sea of Korea. Another is Uljin area adjacent to open sea located in east coast of Korea. The distances between water quality observed locations were relatively regular in Gwangyang Bay, however, irregular in Uljin area. And for the fixed distance method popular Arc GIS tool was used, but, for the Gabriel Network, Visual Basic program was developed to produce Gabriel Network and calculate Moran's I and its Z-score automatically. According to this experimental results, different spatial pattern was showed differently for some data with using of neighboring definition methods. Therefore there is need to choose neighboring definition method carefully for spatial pattern analysis.

Neural-Tabu algorithm in optimal routing considering reliability indices (신뢰도 지수를 고려한 계통의 Neural-Tabu 알고리즘을 이용한 최적 전송 경로 결정)

  • Shin, Dong-Joon;Jung, Hyun-Soo;Kim, Jin-O
    • Proceedings of the KIEE Conference
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    • 1999.07c
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    • pp.1245-1247
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    • 1999
  • This paper describes the optimal reconfiguration of distribution network. The optimal routing of distribution network should provide electricity to customers with quality, and this paper shows that optimal routing of distribution network can be obtained by Neural-Tabu algorithm while keeping constraints such as line power capacity, voltage drop and reliability indices. The Neural-Tabu algorithm is a Tabu algorithm combined with Neural network to find neighborhood solutions. This paper shows that not only the loss cost but also the reliability cost should be considered in distribution network reconfiguration to achieve the optimal routing.

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CAMR: Congestion-Aware Multi-Path Routing Protocol for Wireless Mesh Networks

  • Jang, Seowoo;Kang, Seok-Gu;Yoon, Sung-Guk
    • Journal of Electrical Engineering and Technology
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    • v.12 no.1
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    • pp.411-419
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    • 2017
  • The Wireless Mesh Network (WMN) is a multi-hop wireless network consisting of mesh routers and clients, where the mesh routers have minimal mobility and form the backbone. The WMN is primarily designed to access outer network to mesh clients through backhaul gateways. As traffic converges on the gateways, traffic hotspots are likely to form in the neighborhood of the gateways. In this paper, we propose Congestion Aware Multi-path Routing (CAMR) protocol to tackle this problem. Upon congestion, CAMR divides the clients under a mesh STA into two groups and returns a different path for each group. The CAMR protocol triggers multi-path routing in such a manner that the packet reordering problem is avoided. Through simulations, we show that CAMR improves the performance of the WMN in terms of throughput, delay and packet drop ratio.

Sensitivity Analysis on the Population within and outside of the Urban Park Service Areas - Focused on Daegu Metropolitan City Neighborhood Parks and Resident Registration Number Data - (도시공원 서비스권역 내 · 외 이용인구 정밀 분석 - 대구광역시 근린공원, 주민등록 데이터 분석을 중심으로 -)

  • Son, Seung-Woo;Ahn, Tong-Mahn
    • Journal of the Korean Institute of Landscape Architecture
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    • v.41 no.5
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    • pp.9-18
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    • 2013
  • Urban parks are public spaces that provide various services for any urban resident to use and enjoy. Parks should be fairly distributed so that the urban parks can be equally used amongst different regions, generations and classes. Researches on spatial distribution of urban parks have been continuously conducted from the past based on the principles of fairness with variety, and it was evident that their techniques have become more elaborate and sophisticated. Yet, there have been limitations in the analysis of residents who are the main users of the urban parks. The research done so far was unable to apply the real number of the residents and it was carried out by only classifying and analyzing the population by the same scale(grid in the same sizes), postal(zip) code and administrative district. The actual population that resides within the usable range of urban parks was not used. This study analyzes and evaluates the spatial distribution that the residents can use on foot, by utilizing the service areas and the residents' registration data by addresses. In this study, to analyze the square measure of the service areas of neighborhood parks in Daegu Metropolitan City and the number of residents within and outside of the service area, network analysis techniques were employed and the residents' registration data were utilized. Major findings were that the Square measure of service areas of neighborhood parks turned out to be 31.23% of the square measure of the residential areas and also, that only 43.03% of the population of the Daegu Metropolitan area lives within the service areas of the neighborhood parks.

A Study On Extracting Surface-Specific Point Using The Cross Section of The Terrain (지형 단면을 이용한 의미점 추출에 관한 연구)

  • Ryoo, Seung-Taek;Yoon, Kyoung-Hyun
    • Journal of Korean Society for Geospatial Information Science
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    • v.6 no.2 s.12
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    • pp.133-141
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    • 1998
  • Terrain modelling is composed of a method using the rectangular grid and another using the triangulated irregular network. The method using the triangulated irregular network is most widely used because it can express the characteristics of the terrain well with only a small amount of information on the terrain and also reduces the rendering time. The process of extracting the surface-specific point and a triangular process is needed to construct such triangulated irregular network. This paper concentrates on the process of extracting the surface-specific point. The 8-direction neighborhood method and other transformed methods of the former method are frequently used to extract the surface-specific point. Another method which eliminates the unnecessary points using the Polygon reduction method is also suggested However, the 8-direction neighborhood method has a big fault of also drawing out some unnecessary points. To resolve such problem, we suggest a method of extracting the surface-specific point using the cross section of the terrain. This method reduces the time to extract the surface-specific point and enables a more precise extraction with less terrain information.

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