• 한국조경학회지
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• 제28권6호
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• pp.62-76
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• 2001

This study is to offer the basic information and materials for the restoration of the urban forest and the ecologically healthy and continuous green belt through the investigation and the analysis on the vegetation in Hwasan Park, Chonju-City. The flora of Hwasan Neighborhood park was composed of 86 families 230 genera, 261 species, 35 varieties, 1 formae or 298 Taxa. Among them, calculation of Pte-Q Index represented 0.60, Fisher's Index. Some characteristics of the plants in this area have represented such as Th-D1-R5 type in biological type, erect form(64.6%) in growth type, 30 taxa in naturalized plants. The life form spectra investigated from Hwasan neighborhood park was recognized as the following M"17.4%, N:11.4%, E:0.3%, Ch:0%, H:29.8%, G:6.7%, HH:0%, Th:34.2%. By the Z-M method 5 plant communities and 3 afforestation were recognized; Quercus variabilis community, Q.acutissima community, Q.serrata community, Sorbus alnifolia community, Pinus densiflora community, P.rigida afforestation, Robinia pseudo-acacia afforestation and Larix leptolepis afforestation. The actual vegetation map constructed on the grounds of the communities classified and other data. The pattern of successional trend of tree species might be suggested: L. leptoleipis, P. rigida and P. densifloralongrightarrowQ.variabilis and Q.acutissimalongrightarrowS.alnifolia and Q.serratalongrightarrowCarpinus tschonoskii community. Three measurements of species diversity (richness index(SR), Shannon-Wiener index(H'), evenness index(J')) and their relationship with community type were studied in the surveyed plant communities. Q.serrata community was higher in SR, H', J' than the other communities, whereas R.pseduo-acacia afforestation was low. Finally, The vegetation of the Hwasan neighborhood park must not allowed any more. Nothing ca be better than native states in preserving the ecosystems.tems.

• 한국지리정보학회지
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• 제14권4호
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• pp.221-237
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• 2011

본 연구는 환경정의 관점에서 도시근린공원의 접근성에 따른 형평성을 대구시를 사례로 분석하였다. 이를 위해 근린공원의 공간통계학적 분포 특성을 살펴 본 후, 최소거리 및 커버리지 접근 방법을 이용하여 접근성을 측정하였다. 여기에서 도출된 접근성에 따른 사회 경제적 특성을 비교하기 위해 근접비율, 맨 휘트니 U 검정, 로지스틱 회귀분석 등과 같은 기술적 추론적 통계를 이용하여 분석하였다. 최소거리 분석에서는 자치구 중 달서구가 근린공원에 대한 접근성이 가장 양호하며, 동구가 가장 불량한 것으로 나타났다. 커버리지 분석에서는 500m와 1,000m 모두 접근성이 가장 양호한 자치구는 달서구, 가장 불량한 자치구는 동구와 남구로 분석되었다. 환경적 형평성 분석 결과 구시가지는 대부분 고령자비율에서 환경적 형평성이 있는 것으로 나타났고, 인구밀도 및 미성년자 비율에서 불형평성이 나타났다. 신시가지는 대부분 인구밀도 및 미성년자 비율에서 환경적 형평성이 있는 것으로 나타났고, 고령자비율과 기초생활수급자비율 및 무상주택비율에서 불형평성이 나타났다. 이러한 결과는 정량적인 도시공원정책에 의한 대구시 도시공원의 조성과정 및 도시개발과정과 영구임대주택의 입지패턴과 밀접한 연관성을 가지고 있었다. 본 연구는 기존의 유해시설과 관련된 환경정의 연구의 주제를 확장하였으며, 도출된 분석결과는 대구시에서 사회 경제적 특성을 반영한 도시공원정책을 수립할 때 기초자료로 활용될 수 있다.

• Industrial Engineering and Management Systems
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• 제6권1호
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• pp.64-71
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• 2007

J. Kennedy and R. Eberhart first introduced the concept called as Particle Swarm Optimization (PSO). They applied it to optimize continuous nonlinear functions and demonstrated the effectiveness of the algorithm. Since then a considerable number of researchers have attempted to apply this concept to a variety of optimization problems and obtained reasonable results. In PSO, individuals communicate and exchange simple information with each other. The information among individuals is communicated in the swarm and the information between individuals and their swarm is also shared. Finally, the swarm approaches the optimal behavior. It is reported that reasonable approximate solutions of various types of test functions are obtained by employing PSO. However, if more precise solutions are required, additional algorithms and/or hybrid algorithms would be necessary. For example, the heading vector of the swarm can be slightly adjusted under some conditions. In this paper, we propose a hybrid algorithm to obtain more precise solutions. In the algorithm, when a better solution in the swarm is found, the neighborhood of a certain distance from the solution is searched. Then, the algorithm returns to the original PSO search. By this hybrid method, we can obtain considerably better solutions in less iterations than by the standard PSO method.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권3호
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• pp.1030-1050
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• 2021

The edges with "bridge characteristic" play the role of connecting the communication between regions in power optical cable network. To solve the problem of mining edges with "bridge characteristic" in provincial power optical cable network, the complex power optical cable network model is constructed. Firstly, to measure the generated potential energy of all nodes in n-level neighborhood local structure for one edge, the n-level neighborhood local structure topological potential is designed. And the minimum connected chain attenuation is designed to measure the attenuation degree caused by substituted edges. On the basis of that, the minimum connected chain attenuation topological potential based measurement is designed. By using the designed measurement, a bridge-edges mining algorithm is proposed to mine edges with "bridge characteristic". The experiments are conducted on the physical topology of the power optical cable network in Jilin Province. Compared with that of other three typical methods, the network efficiency and connectivity of the proposed method are decreased by 3.58% and 28.79% on average respectively. And the proposed method can not only mine optical cable connection with typical "bridge characteristic" but also can mine optical cables without obvious characteristics of city or voltage, but it have "bridge characteristic" in the topology structure.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2006년도 하계종합학술대회
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• pp.711-712
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• 2006

In this paper, we propose algorithm that improves energy efficiency of sensor node. That is, sensor node suggests algorithm that minimizes unnecessary surrounding feeler, and when passes information to neighborhood node, transmit forecasting position of node.

• 한국지리정보학회지
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• 제20권1호
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• pp.26-41
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• 2017

본 연구의 목적은 대구광역시의 도시공원을 대상으로 환경특성을 고려한 공원의 유형을 분류하고, 공원 유형별 관리방안을 제시하는 것이다. 연구대상 공원은 총 68개의 근린공원으로 설정하였으며, 공원 내 외부의 환경인자를 토대로 유형분류를 수행하였다. 공원의 유형분류 결과, 68개 공원이 총 5개의 유형으로 분류되었다. 평지시설-주거지인접형 공원에는 41개소가 분류되었으며, 산지자연-주거지인접형 공원에는 12개소가 포함되었다. 또한, 평지시설-상공업지인접형 공원에는 6개소, 평지시설-농지인접형 공원에는 3개소, 산지시설-농지인접형 공원에는 6개소의 공원이 분류되었다. 근린공원의 유형별 생태 및 이용적 특성 분석 결과를 살펴보면, 평지시설-주거인접형 공원은 공원접근성이 우수하고, 공원 주변의 이용권 인구밀도가 가장 높게 나타났다. 산지자연-주거지인접형 공원은 공원 내 자연녹지의 존재하고 있어 식생활력이 높은 반면, 공원접근성은 낮은 것으로 평가되었다. 평지시설-상공업지인접형 공원은 식생활력도 및 녹지연결성이 매우 낮으며, 공원접근성과 이용권인구밀도는 높지 않은 것으로 평가되었다. 평지시설-농지인접형 공원은 식생활력도 및 녹지접근성 낮으며, 공원접근성은 매우 취약한 것으로 평가되었다. 산지자연-농지인접형 공원은 식생활력도 및 녹지연결성이 높은 유형의 특성을 가지는 것으로 분석되었다. 이상의 결과들은 향후 도시내 근린공원을 장기적인 관점에서 리모델링 또는 관리 계획을 마련코자 할 경우 효율적인 기초자료가 될 수 있을 것으로 판단된다.

• 한국산업정보학회논문지
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• 제27권1호
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• pp.37-48
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• 2022

본 연구에서는 공학설계 최적화 문제 해결을 위한 혼합 메타휴리스틱(Hybrid Meta-heuristic) 접근법을 제안된다. 공학 설계 최적화 문제는 다양한 형태의 변수를 가지며, 복잡한 제약조건들하에서 그 최적해를 구하는 문제로 이미 많은 기존 연구들을 통해 다양한 접근법들이 개발되어져 왔다. 하지만 그 효율성은 아직까지 크게 개선되지 못하고 있는 실정이다. 따라서 본 연구에서는 이러한 효율성을 개선하기 위한 새로운 접근법을 제안한다. 제안된 혼합 메타휴리스틱 접근법은 탐색 공간에 대한 전역적 탐색을 위해 유전알고리즘(Genetic Algorithm: GA) 접근법, 지역적 탐색을 위해 변동이웃탐색(Variable Neighborhood Search: VNS) 접근법과 언덕오르기(Hill Climbing: HC) 접근법을 혼합(GA-VNS-HC)하였다. 사례 연구에서는 다양한 형태의 공학설계 최적화 문제를 이용하여 본 연구에서 제안한 GA-VNS-HC 접근법의 우수성을 입증하였다.

• 경영과정보연구
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• 제4권
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• pp.257-284
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• 2000

According as the drivers increase who have their cars, the comprehensive studies on the automobile for the traffic safety have been raised as the important problems. Visual Recognition System for radio-controled driving is a part of the sensor processor of Unmanned Autonomous Vehicle System. When a driver drives his car on an unknown highway or general road, it produces a model from the successively inputted road traffic information. The suggested Recognition System of the Road Traffic Safety Information Board is to recognize and distinguish automatically a Road Traffic Safety Information Board as one of road traffic information. The whole processes of Recognition System of the Road Traffic Safety Information Board suggested in this study are as follows. We took the photographs of Road Traffic Safety Information Board with a digital camera in order to get an image and normalize bitmap image file with a size of $200{\times}200$ byte with Photo Shop 5.0. The existing True Color is made up the color data of sixteen million kinds. We changed it with 256 Color, because it has large capacity, and spend much time on calculating. We have practiced works of 30 times with erosion and dilation algorithm to remove unnecessary images. We drawing out original image with the Region Splitting Technique as a kind of segmentation. We made three kinds of grouping(Attention Information Board, Prohibit Information Board, and Introduction Information Board) by RYB( Red, Yellow, Blue) color segmentation. We minimized the image size of board, direction, and the influence of rounding. We also minimized the Influence according to position. and the brightness of light and darkness with Eigen Vector and Eigen Value. The data sampling this feature value appeared after building the learning Code Book Database. The suggested Recognition System of the Road Traffic Safety Information Board firstly distinguished three kinds of groups in the database of learning Code Book, and suggested in order to recognize after comparing and judging the board want to recognize within the same group with Nearest Neighborhood Decision Making.

• IEIE Transactions on Smart Processing and Computing
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• 제6권3호
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• pp.151-157
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• 2017

Management optimization is very important in tourism, especially when it is related to productivity. One of the problems in management optimization is tour guide assignment. Well-arranged tour guide assignment will increase productivity while maintaining service quality. A cellular genetic algorithm is one of the methods that can be used to solve this problem. Furthermore, previous study has shown that a cellular dimension increase can lead to promising benefits for certain problems. The objective of this research is to give a clear understanding of the advantages of increasing cellular dimensionality on the tour guide assignment problem by using a cellular genetic algorithm.

• 한국환경복원기술학회지
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• 제11권2호
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• pp.1-9
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• 2008

The objective of the study is 10 know the relation of landslide occurrence with using TPI (Topographic Position Index) in the Pyungchang County. Total 659 landslide scars were detected from aerial photographs. To analyze TPI, 100m SN (Small-Neighborhood) TPI map, 500m LN (Large-Neighborhood) TPI map, and slope map were generated from the DEM (Digital Elevation Model) data which are made from 1 : 5,000 digital topographic map. 10 classes clustered by regular condition after overlapping each TPI maps and slope map. Through this process, we could make landform classification map. Because it is only to classify landform, 7 classes were finally regrouped by the slope angle information of landslide occurrence detected from aerial photography analysis. The accuracy of reclassified map is about 46%.